id	sid	tid	token	lemma	pos
cana-4039	1	1	communications	communication	NOUN
cana-4039	1	2	on	on	ADP
cana-4039	1	3	applied	apply	VERB
cana-4039	1	4	nonlinear	nonlinear	ADJ
cana-4039	1	5	analysis	analysis	NOUN
cana-4039	1	6	issn	issn	NOUN
cana-4039	1	7	:	:	PUNCT
cana-4039	1	8	1074	1074	NUM
cana-4039	1	9	-	-	PUNCT
cana-4039	1	10	133x	133x	NUM
cana-4039	1	11	vol	vol	NOUN
cana-4039	1	12	32	32	NUM
cana-4039	1	13	no	no	NOUN
cana-4039	1	14	.	.	PUNCT
cana-4039	2	1	9s	9s	NUM
cana-4039	2	2	(	(	PUNCT
cana-4039	2	3	2025	2025	NUM
cana-4039	2	4	)	)	PUNCT
cana-4039	2	5	910	910	NUM
cana-4039	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	2	7	enhancing	enhance	VERB
cana-4039	2	8	social	social	ADJ
cana-4039	2	9	media	medium	NOUN
cana-4039	2	10	influence	influence	NOUN
cana-4039	2	11	with	with	ADP
cana-4039	2	12	cutting	cut	VERB
cana-4039	2	13	-	-	PUNCT
cana-4039	2	14	edge	edge	NOUN
cana-4039	2	15	machine	machine	NOUN
cana-4039	2	16	learning	learning	NOUN
cana-4039	2	17	approaches	approach	VERB
cana-4039	2	18	mrs.p.umamaheswari1	mrs.p.umamaheswari1	NOUN
cana-4039	2	19	,	,	PUNCT
cana-4039	2	20	dr.a.kumar	dr.a.kumar	PROPN
cana-4039	2	21	kombaiya2	kombaiya2	PROPN
cana-4039	2	22	research	research	PROPN
cana-4039	2	23	scholar1	scholar1	PROPN
cana-4039	2	24	,	,	PUNCT
cana-4039	2	25	associate	associate	ADJ
cana-4039	2	26	professor2	professor2	PROPN
cana-4039	2	27	department	department	PROPN
cana-4039	2	28	of	of	ADP
cana-4039	2	29	computer	computer	NOUN
cana-4039	2	30	science	science	NOUN
cana-4039	2	31	email	email	NOUN
cana-4039	2	32	:	:	PUNCT
cana-4039	2	33	umapalanisamyphd@gmail.com1	umapalanisamyphd@gmail.com1	PROPN
cana-4039	2	34	email	email	NOUN
cana-4039	2	35	:	:	PUNCT
cana-4039	2	36	kumar_kombaiya@rediffmail.com2	kumar_kombaiya@rediffmail.com2	PROPN
cana-4039	2	37	chikkanna	chikkanna	NOUN
cana-4039	2	38	government	government	NOUN
cana-4039	2	39	arts	arts	PROPN
cana-4039	2	40	college	college	PROPN
cana-4039	2	41	,	,	PUNCT
cana-4039	2	42	tirupur	tirupur	PROPN
cana-4039	2	43	,	,	PUNCT
cana-4039	2	44	india1,2	india1,2	ADJ
cana-4039	2	45	article	article	NOUN
cana-4039	2	46	history	history	NOUN
cana-4039	2	47	:	:	PUNCT
cana-4039	2	48	received	receive	VERB
cana-4039	2	49	:	:	PUNCT
cana-4039	2	50	18	18	NUM
cana-4039	2	51	-	-	SYM
cana-4039	2	52	11	11	NUM
cana-4039	2	53	-	-	PUNCT
cana-4039	2	54	2024	2024	NUM
cana-4039	2	55	revised	revise	VERB
cana-4039	2	56	:	:	PUNCT
cana-4039	2	57	10	10	NUM
cana-4039	2	58	-	-	SYM
cana-4039	2	59	12	12	NUM
cana-4039	2	60	-	-	PUNCT
cana-4039	2	61	2024	2024	NUM
cana-4039	2	62	accepted	accept	VERB
cana-4039	2	63	:	:	PUNCT
cana-4039	2	64	26	26	NUM
cana-4039	2	65	-	-	SYM
cana-4039	2	66	01	01	NUM
cana-4039	2	67	-	-	PUNCT
cana-4039	2	68	2025	2025	NUM
cana-4039	2	69	abstract	abstract	NOUN
cana-4039	2	70	:	:	PUNCT
cana-4039	2	71	homophily	homophily	ADV
cana-4039	2	72	and	and	CCONJ
cana-4039	2	73	community	community	NOUN
cana-4039	2	74	influence	influence	NOUN
cana-4039	2	75	play	play	VERB
cana-4039	2	76	the	the	DET
cana-4039	2	77	important	important	ADJ
cana-4039	2	78	roles	role	NOUN
cana-4039	2	79	in	in	ADP
cana-4039	2	80	shaping	shape	VERB
cana-4039	2	81	user	user	NOUN
cana-4039	2	82	behavior	behavior	NOUN
cana-4039	2	83	towards	towards	ADP
cana-4039	2	84	others	other	NOUN
cana-4039	2	85	and	and	CCONJ
cana-4039	2	86	towards	towards	ADP
cana-4039	2	87	content	content	NOUN
cana-4039	2	88	in	in	ADP
cana-4039	2	89	social	social	ADJ
cana-4039	2	90	recommendation	recommendation	NOUN
cana-4039	2	91	systems	system	NOUN
cana-4039	2	92	.	.	PUNCT
cana-4039	3	1	this	this	DET
cana-4039	3	2	aspect	aspect	NOUN
cana-4039	3	3	has	have	VERB
cana-4039	3	4	a	a	DET
cana-4039	3	5	considerable	considerable	ADJ
cana-4039	3	6	effect	effect	NOUN
cana-4039	3	7	on	on	ADP
cana-4039	3	8	how	how	SCONJ
cana-4039	3	9	individuals	individual	NOUN
cana-4039	3	10	engage	engage	VERB
cana-4039	3	11	with	with	ADP
cana-4039	3	12	materials	material	NOUN
cana-4039	3	13	.	.	PUNCT
cana-4039	4	1	homophily	homophily	ADV
cana-4039	4	2	is	be	AUX
cana-4039	4	3	a	a	DET
cana-4039	4	4	core	core	NOUN
cana-4039	4	5	concept	concept	NOUN
cana-4039	4	6	in	in	ADP
cana-4039	4	7	social	social	ADJ
cana-4039	4	8	network	network	NOUN
cana-4039	4	9	analysis	analysis	NOUN
cana-4039	4	10	:	:	PUNCT
cana-4039	4	11	it	it	PRON
cana-4039	4	12	is	be	AUX
cana-4039	4	13	the	the	DET
cana-4039	4	14	tendency	tendency	NOUN
cana-4039	4	15	of	of	ADP
cana-4039	4	16	individuals	individual	NOUN
cana-4039	4	17	to	to	PART
cana-4039	4	18	associate	associate	VERB
cana-4039	4	19	with	with	ADP
cana-4039	4	20	others	other	NOUN
cana-4039	4	21	who	who	PRON
cana-4039	4	22	have	have	VERB
cana-4039	4	23	similar	similar	ADJ
cana-4039	4	24	interests	interest	NOUN
cana-4039	4	25	or	or	CCONJ
cana-4039	4	26	characteristics	characteristic	NOUN
cana-4039	4	27	.	.	PUNCT
cana-4039	5	1	this	this	DET
cana-4039	5	2	research	research	NOUN
cana-4039	5	3	begins	begin	VERB
cana-4039	5	4	with	with	ADP
cana-4039	5	5	datasets	dataset	NOUN
cana-4039	5	6	collected	collect	VERB
cana-4039	5	7	from	from	ADP
cana-4039	5	8	facebook	facebook	PROPN
cana-4039	5	9	,	,	PUNCT
cana-4039	5	10	instagram	instagram	PROPN
cana-4039	5	11	,	,	PUNCT
cana-4039	5	12	and	and	CCONJ
cana-4039	5	13	youtube	youtube	NOUN
cana-4039	5	14	.	.	PUNCT
cana-4039	6	1	preprocessing	preprocessing	NOUN
cana-4039	6	2	occurred	occur	VERB
cana-4039	6	3	after	after	SCONJ
cana-4039	6	4	the	the	DET
cana-4039	6	5	dataset	dataset	NOUN
cana-4039	6	6	was	be	AUX
cana-4039	6	7	obtained	obtain	VERB
cana-4039	6	8	from	from	ADP
cana-4039	6	9	kaggle	kaggle	NOUN
cana-4039	6	10	sources	source	NOUN
cana-4039	6	11	.	.	PUNCT
cana-4039	7	1	following	follow	VERB
cana-4039	7	2	the	the	DET
cana-4039	7	3	completion	completion	NOUN
cana-4039	7	4	of	of	ADP
cana-4039	7	5	the	the	DET
cana-4039	7	6	initial	initial	ADJ
cana-4039	7	7	dataset	dataset	NOUN
cana-4039	7	8	processing	processing	NOUN
cana-4039	7	9	,	,	PUNCT
cana-4039	7	10	the	the	DET
cana-4039	7	11	data	data	NOUN
cana-4039	7	12	is	be	AUX
cana-4039	7	13	categorised	categorise	VERB
cana-4039	7	14	using	use	VERB
cana-4039	7	15	a	a	DET
cana-4039	7	16	fusion	fusion	NOUN
cana-4039	7	17	machine	machine	NOUN
cana-4039	7	18	learning	learning	NOUN
cana-4039	7	19	method	method	NOUN
cana-4039	7	20	.	.	PUNCT
cana-4039	8	1	with	with	ADP
cana-4039	8	2	accuracy	accuracy	NOUN
cana-4039	8	3	rates	rate	NOUN
cana-4039	8	4	of	of	ADP
cana-4039	8	5	97.11	97.11	NUM
cana-4039	8	6	%	%	NOUN
cana-4039	8	7	for	for	ADP
cana-4039	8	8	facebook	facebook	NOUN
cana-4039	8	9	,	,	PUNCT
cana-4039	8	10	98.02	98.02	NUM
cana-4039	8	11	%	%	NOUN
cana-4039	8	12	for	for	ADP
cana-4039	8	13	instagram	instagram	PROPN
cana-4039	8	14	,	,	PUNCT
cana-4039	8	15	and	and	CCONJ
cana-4039	8	16	98.99	98.99	NUM
cana-4039	8	17	%	%	NOUN
cana-4039	8	18	for	for	ADP
cana-4039	8	19	youtube	youtube	NOUN
cana-4039	8	20	,	,	PUNCT
cana-4039	8	21	the	the	DET
cana-4039	8	22	suggested	suggest	VERB
cana-4039	8	23	solution	solution	NOUN
cana-4039	8	24	consistently	consistently	ADV
cana-4039	8	25	outperforms	outperform	VERB
cana-4039	8	26	existing	exist	VERB
cana-4039	8	27	approaches	approach	NOUN
cana-4039	8	28	.	.	PUNCT
cana-4039	9	1	keywords	keyword	NOUN
cana-4039	9	2	:	:	PUNCT
cana-4039	9	3	machine	machine	NOUN
cana-4039	9	4	learning	learning	NOUN
cana-4039	9	5	,	,	PUNCT
cana-4039	9	6	classification	classification	NOUN
cana-4039	9	7	,	,	PUNCT
cana-4039	9	8	social	social	ADJ
cana-4039	9	9	media	medium	NOUN
cana-4039	9	10	,	,	PUNCT
cana-4039	9	11	disentangled	disentangle	VERB
cana-4039	9	12	modelling	modelling	NOUN
cana-4039	9	13	,	,	PUNCT
cana-4039	9	14	fusion	fusion	NOUN
cana-4039	9	15	approach	approach	NOUN
cana-4039	9	16	i.	i.	NOUN
cana-4039	9	17	introduction	introduction	PROPN
cana-4039	9	18	mobile	mobile	PROPN
cana-4039	9	19	internet	internet	NOUN
cana-4039	9	20	-	-	PUNCT
cana-4039	9	21	based	base	VERB
cana-4039	9	22	media	medium	NOUN
cana-4039	9	23	offers	offer	VERB
cana-4039	9	24	more	more	ADJ
cana-4039	9	25	format	format	NOUN
cana-4039	9	26	possibilities	possibility	NOUN
cana-4039	9	27	,	,	PUNCT
cana-4039	9	28	faster	fast	ADJ
cana-4039	9	29	speeds	speed	NOUN
cana-4039	9	30	,	,	PUNCT
cana-4039	9	31	and	and	CCONJ
cana-4039	9	32	a	a	DET
cana-4039	9	33	lower	low	ADJ
cana-4039	9	34	cost	cost	NOUN
cana-4039	9	35	than	than	ADP
cana-4039	9	36	traditional	traditional	ADJ
cana-4039	9	37	media	medium	NOUN
cana-4039	9	38	such	such	ADJ
cana-4039	9	39	as	as	ADP
cana-4039	9	40	newspapers	newspaper	NOUN
cana-4039	9	41	,	,	PUNCT
cana-4039	9	42	radio	radio	NOUN
cana-4039	9	43	,	,	PUNCT
cana-4039	9	44	and	and	CCONJ
cana-4039	9	45	television	television	NOUN
cana-4039	10	1	[	[	X
cana-4039	10	2	1	1	NUM
cana-4039	10	3	,	,	PUNCT
cana-4039	10	4	2	2	NUM
cana-4039	10	5	]	]	PUNCT
cana-4039	10	6	.	.	PUNCT
cana-4039	11	1	social	social	ADJ
cana-4039	11	2	media	medium	NOUN
cana-4039	11	3	has	have	AUX
cana-4039	11	4	created	create	VERB
cana-4039	11	5	new	new	ADJ
cana-4039	11	6	avenues	avenue	NOUN
cana-4039	11	7	for	for	ADP
cana-4039	11	8	public	public	ADJ
cana-4039	11	9	discourse	discourse	NOUN
cana-4039	11	10	and	and	CCONJ
cana-4039	11	11	information	information	NOUN
cana-4039	11	12	sharing	sharing	NOUN
cana-4039	11	13	among	among	ADP
cana-4039	11	14	the	the	DET
cana-4039	11	15	general	general	ADJ
cana-4039	11	16	population	population	NOUN
cana-4039	11	17	.	.	PUNCT
cana-4039	12	1	the	the	DET
cana-4039	12	2	first	first	ADJ
cana-4039	12	3	step	step	NOUN
cana-4039	12	4	to	to	ADP
cana-4039	12	5	building	build	VERB
cana-4039	12	6	a	a	DET
cana-4039	12	7	society	society	NOUN
cana-4039	12	8	in	in	ADP
cana-4039	12	9	which	which	PRON
cana-4039	12	10	people	people	NOUN
cana-4039	12	11	feel	feel	VERB
cana-4039	12	12	safe	safe	ADJ
cana-4039	12	13	enough	enough	ADV
cana-4039	12	14	to	to	PART
cana-4039	12	15	discuss	discuss	VERB
cana-4039	12	16	crucial	crucial	ADJ
cana-4039	12	17	matters	matter	NOUN
cana-4039	12	18	openly	openly	ADV
cana-4039	12	19	,	,	PUNCT
cana-4039	12	20	share	share	NOUN
cana-4039	12	21	thoughts	thought	NOUN
cana-4039	12	22	,	,	PUNCT
cana-4039	12	23	and	and	CCONJ
cana-4039	12	24	formulate	formulate	VERB
cana-4039	12	25	their	their	PRON
cana-4039	12	26	own	own	ADJ
cana-4039	12	27	conclusions	conclusion	NOUN
cana-4039	12	28	is	be	AUX
cana-4039	12	29	to	to	PART
cana-4039	12	30	bring	bring	VERB
cana-4039	12	31	humans	human	NOUN
cana-4039	12	32	out	out	ADP
cana-4039	12	33	of	of	ADP
cana-4039	12	34	their	their	PRON
cana-4039	12	35	ivory	ivory	NOUN
cana-4039	12	36	towers	tower	NOUN
cana-4039	12	37	and	and	CCONJ
cana-4039	12	38	confront	confront	VERB
cana-4039	12	39	them	they	PRON
cana-4039	12	40	with	with	ADP
cana-4039	12	41	divergent	divergent	ADJ
cana-4039	12	42	perspectives	perspective	NOUN
cana-4039	12	43	[	[	X
cana-4039	12	44	3	3	NUM
cana-4039	12	45	]	]	PUNCT
cana-4039	12	46	.	.	PUNCT
cana-4039	13	1	online	online	ADJ
cana-4039	13	2	social	social	ADJ
cana-4039	13	3	network	network	NOUN
cana-4039	13	4	marketing	marketing	NOUN
cana-4039	13	5	is	be	AUX
cana-4039	13	6	increasingly	increasingly	ADV
cana-4039	13	7	reliant	reliant	ADJ
cana-4039	13	8	on	on	ADP
cana-4039	13	9	the	the	DET
cana-4039	13	10	"	"	PUNCT
cana-4039	13	11	word	word	NOUN
cana-4039	13	12	-	-	PUNCT
cana-4039	13	13	of	of	ADP
cana-4039	13	14	-	-	PUNCT
cana-4039	13	15	mouth	mouth	NOUN
cana-4039	13	16	"	"	PUNCT
cana-4039	13	17	method	method	NOUN
cana-4039	13	18	of	of	ADP
cana-4039	13	19	conveying	convey	VERB
cana-4039	13	20	product	product	NOUN
cana-4039	13	21	information	information	NOUN
cana-4039	13	22	.	.	PUNCT
cana-4039	14	1	the	the	DET
cana-4039	14	2	release	release	NOUN
cana-4039	14	3	of	of	ADP
cana-4039	14	4	films	film	NOUN
cana-4039	14	5	starring	star	VERB
cana-4039	14	6	well	well	ADV
cana-4039	14	7	-	-	PUNCT
cana-4039	14	8	known	know	VERB
cana-4039	14	9	celebrities	celebrity	NOUN
cana-4039	14	10	is	be	AUX
cana-4039	14	11	a	a	DET
cana-4039	14	12	common	common	ADJ
cana-4039	14	13	pragmatic	pragmatic	ADJ
cana-4039	14	14	technique	technique	NOUN
cana-4039	14	15	in	in	ADP
cana-4039	14	16	campaigns	campaign	NOUN
cana-4039	14	17	.	.	PUNCT
cana-4039	15	1	this	this	PRON
cana-4039	15	2	ensures	ensure	VERB
cana-4039	15	3	that	that	SCONJ
cana-4039	15	4	the	the	DET
cana-4039	15	5	video	video	NOUN
cana-4039	15	6	reaches	reach	VERB
cana-4039	15	7	as	as	ADV
cana-4039	15	8	many	many	ADJ
cana-4039	15	9	people	people	NOUN
cana-4039	15	10	as	as	ADP
cana-4039	15	11	possible	possible	ADJ
cana-4039	15	12	and	and	CCONJ
cana-4039	15	13	increases	increase	VERB
cana-4039	15	14	the	the	DET
cana-4039	15	15	likelihood	likelihood	NOUN
cana-4039	15	16	of	of	ADP
cana-4039	15	17	becoming	become	VERB
cana-4039	15	18	viral	viral	ADJ
cana-4039	15	19	[	[	X
cana-4039	15	20	4	4	NUM
cana-4039	15	21	-	-	SYM
cana-4039	15	22	6	6	NUM
cana-4039	15	23	]	]	PUNCT
cana-4039	15	24	.	.	PUNCT
cana-4039	16	1	online	online	ADJ
cana-4039	16	2	social	social	ADJ
cana-4039	16	3	networks	network	NOUN
cana-4039	16	4	have	have	AUX
cana-4039	16	5	lately	lately	ADV
cana-4039	16	6	grown	grow	VERB
cana-4039	16	7	in	in	ADP
cana-4039	16	8	popularity	popularity	NOUN
cana-4039	16	9	due	due	ADP
cana-4039	16	10	to	to	ADP
cana-4039	16	11	their	their	PRON
cana-4039	16	12	greatly	greatly	ADV
cana-4039	16	13	improved	improve	VERB
cana-4039	16	14	global	global	ADJ
cana-4039	16	15	connectivity	connectivity	NOUN
cana-4039	16	16	.	.	PUNCT
cana-4039	17	1	recent	recent	ADJ
cana-4039	17	2	study	study	NOUN
cana-4039	17	3	[	[	X
cana-4039	17	4	7	7	NUM
cana-4039	17	5	]	]	PUNCT
cana-4039	17	6	focuses	focus	VERB
cana-4039	17	7	on	on	ADP
cana-4039	17	8	facebook	facebook	PROPN
cana-4039	17	9	,	,	PUNCT
cana-4039	17	10	youtube	youtube	NOUN
cana-4039	17	11	,	,	PUNCT
cana-4039	17	12	and	and	CCONJ
cana-4039	17	13	instagram	instagram	PROPN
cana-4039	17	14	.	.	PUNCT
cana-4039	18	1	this	this	PRON
cana-4039	18	2	is	be	AUX
cana-4039	18	3	due	due	ADJ
cana-4039	18	4	to	to	ADP
cana-4039	18	5	the	the	DET
cana-4039	18	6	fact	fact	NOUN
cana-4039	18	7	that	that	SCONJ
cana-4039	18	8	it	it	PRON
cana-4039	18	9	strongly	strongly	ADV
cana-4039	18	10	relates	relate	VERB
cana-4039	18	11	to	to	ADP
cana-4039	18	12	machine	machine	NOUN
cana-4039	18	13	learning	learning	NOUN
cana-4039	18	14	.	.	PUNCT
cana-4039	19	1	this	this	DET
cana-4039	19	2	research	research	NOUN
cana-4039	19	3	explores	explore	NOUN
cana-4039	19	4	impact	impact	VERB
cana-4039	19	5	maximization	maximization	NOUN
cana-4039	19	6	(	(	PUNCT
cana-4039	19	7	i	i	NOUN
cana-4039	19	8	m	m	VERB
cana-4039	19	9	)	)	PUNCT
cana-4039	19	10	on	on	ADP
cana-4039	19	11	social	social	ADJ
cana-4039	19	12	media	medium	NOUN
cana-4039	19	13	(	(	PUNCT
cana-4039	19	14	sm	sm	NOUN
cana-4039	19	15	)	)	PUNCT
cana-4039	19	16	sites	site	NOUN
cana-4039	19	17	such	such	ADJ
cana-4039	19	18	as	as	ADP
cana-4039	19	19	instagram	instagram	PROPN
cana-4039	19	20	,	,	PUNCT
cana-4039	19	21	youtube	youtube	NOUN
cana-4039	19	22	,	,	PUNCT
cana-4039	19	23	and	and	CCONJ
cana-4039	19	24	facebook	facebook	NOUN
cana-4039	19	25	using	use	VERB
cana-4039	19	26	machine	machine	NOUN
cana-4039	19	27	learning	learn	VERB
cana-4039	19	28	algorithms	algorithm	NOUN
cana-4039	19	29	such	such	ADJ
cana-4039	19	30	as	as	ADP
cana-4039	19	31	support	support	NOUN
cana-4039	19	32	vector	vector	NOUN
cana-4039	19	33	machine	machine	NOUN
cana-4039	19	34	(	(	PUNCT
cana-4039	19	35	svm	svm	PROPN
cana-4039	19	36	)	)	PUNCT
cana-4039	19	37	,	,	PUNCT
cana-4039	19	38	linear	linear	ADJ
cana-4039	19	39	regression	regression	NOUN
cana-4039	19	40	(	(	PUNCT
cana-4039	19	41	lr	lr	NOUN
cana-4039	19	42	)	)	PUNCT
cana-4039	19	43	,	,	PUNCT
cana-4039	19	44	gaussian	gaussian	ADJ
cana-4039	19	45	naive	naive	ADJ
cana-4039	19	46	bayesian	bayesian	NOUN
cana-4039	19	47	(	(	PUNCT
cana-4039	19	48	gnb	gnb	PROPN
cana-4039	19	49	)	)	PUNCT
cana-4039	19	50	,	,	PUNCT
cana-4039	19	51	and	and	CCONJ
cana-4039	19	52	random	random	ADJ
cana-4039	19	53	forest	forest	NOUN
cana-4039	19	54	(	(	PUNCT
cana-4039	19	55	rf	rf	NOUN
cana-4039	19	56	)	)	PUNCT
cana-4039	19	57	.	.	PUNCT
cana-4039	20	1	when	when	SCONJ
cana-4039	20	2	optimizing	optimize	VERB
cana-4039	20	3	the	the	DET
cana-4039	20	4	instant	instant	ADJ
cana-4039	20	5	messaging	messaging	NOUN
cana-4039	20	6	,	,	PUNCT
cana-4039	20	7	it	it	PRON
cana-4039	20	8	is	be	AUX
cana-4039	20	9	necessary	necessary	ADJ
cana-4039	20	10	to	to	PART
cana-4039	20	11	identify	identify	VERB
cana-4039	20	12	the	the	DET
cana-4039	20	13	most	most	ADV
cana-4039	20	14	important	important	ADJ
cana-4039	20	15	nodes	node	NOUN
cana-4039	20	16	of	of	ADP
cana-4039	20	17	the	the	DET
cana-4039	20	18	network	network	NOUN
cana-4039	20	19	first	first	ADV
cana-4039	20	20	[	[	X
cana-4039	20	21	8	8	NUM
cana-4039	20	22	-	-	SYM
cana-4039	20	23	10	10	NUM
cana-4039	20	24	]	]	PUNCT
cana-4039	20	25	.	.	PUNCT
cana-4039	21	1	in	in	ADP
cana-4039	21	2	attempts	attempt	NOUN
cana-4039	21	3	to	to	PART
cana-4039	21	4	offer	offer	VERB
cana-4039	21	5	theoretical	theoretical	ADJ
cana-4039	21	6	solutions	solution	NOUN
cana-4039	21	7	to	to	ADP
cana-4039	21	8	the	the	DET
cana-4039	21	9	i	i	PROPN
cana-4039	21	10	m	m	PROPN
cana-4039	21	11	problem	problem	NOUN
cana-4039	21	12	,	,	PUNCT
cana-4039	21	13	research	research	NOUN
cana-4039	21	14	on	on	ADP
cana-4039	21	15	the	the	DET
cana-4039	21	16	social	social	ADJ
cana-4039	21	17	influence	influence	NOUN
cana-4039	21	18	of	of	ADP
cana-4039	21	19	sets	set	NOUN
cana-4039	21	20	of	of	ADP
cana-4039	21	21	individual	individual	ADJ
cana-4039	21	22	seeds	seed	NOUN
cana-4039	21	23	and	and	CCONJ
cana-4039	21	24	the	the	DET
cana-4039	21	25	amount	amount	NOUN
cana-4039	21	26	of	of	ADP
cana-4039	21	27	seeds	seed	NOUN
cana-4039	21	28	that	that	PRON
cana-4039	21	29	need	need	VERB
cana-4039	21	30	to	to	PART
cana-4039	21	31	be	be	AUX
cana-4039	21	32	used	use	VERB
cana-4039	21	33	to	to	PART
cana-4039	21	34	get	get	VERB
cana-4039	21	35	a	a	DET
cana-4039	21	36	desired	desire	VERB
cana-4039	21	37	level	level	NOUN
cana-4039	21	38	of	of	ADP
cana-4039	21	39	social	social	ADJ
cana-4039	21	40	influence	influence	NOUN
cana-4039	21	41	is	be	AUX
cana-4039	21	42	underway	underway	ADJ
cana-4039	21	43	[	[	X
cana-4039	21	44	11	11	NUM
cana-4039	21	45	]	]	PUNCT
cana-4039	21	46	.	.	PUNCT
cana-4039	22	1	another	another	DET
cana-4039	22	2	view	view	NOUN
cana-4039	22	3	of	of	ADP
cana-4039	22	4	i	i	PRON
cana-4039	22	5	m	m	VERB
cana-4039	22	6	is	be	AUX
cana-4039	22	7	to	to	PART
cana-4039	22	8	select	select	VERB
cana-4039	22	9	a	a	DET
cana-4039	22	10	subset	subset	NOUN
cana-4039	22	11	of	of	ADP
cana-4039	22	12	seeds	seed	NOUN
cana-4039	22	13	from	from	ADP
cana-4039	22	14	a	a	DET
cana-4039	22	15	social	social	ADJ
cana-4039	22	16	network	network	NOUN
cana-4039	22	17	that	that	PRON
cana-4039	22	18	most	most	ADJ
cana-4039	22	19	individuals	individual	NOUN
cana-4039	22	20	find	find	VERB
cana-4039	22	21	relevant	relevant	ADJ
cana-4039	22	22	.	.	PUNCT
cana-4039	23	1	communications	communication	NOUN
cana-4039	23	2	on	on	ADP
cana-4039	23	3	applied	apply	VERB
cana-4039	23	4	nonlinear	nonlinear	ADJ
cana-4039	23	5	analysis	analysis	NOUN
cana-4039	23	6	issn	issn	NOUN
cana-4039	23	7	:	:	PUNCT
cana-4039	23	8	1074	1074	NUM
cana-4039	23	9	-	-	PUNCT
cana-4039	23	10	133x	133x	NUM
cana-4039	23	11	vol	vol	NOUN
cana-4039	23	12	32	32	NUM
cana-4039	23	13	no	no	NOUN
cana-4039	23	14	.	.	PUNCT
cana-4039	24	1	9s	9s	NUM
cana-4039	24	2	(	(	PUNCT
cana-4039	24	3	2025	2025	NUM
cana-4039	24	4	)	)	PUNCT
cana-4039	24	5	911	911	NUM
cana-4039	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	24	7	•	•	NUM
cana-4039	24	8	estimating	estimate	VERB
cana-4039	24	9	the	the	DET
cana-4039	24	10	stability	stability	NOUN
cana-4039	24	11	of	of	ADP
cana-4039	24	12	incorporation	incorporation	NOUN
cana-4039	24	13	of	of	ADP
cana-4039	24	14	i	i	PRON
cana-4039	24	15	m	m	VERB
cana-4039	24	16	algorithms	algorithm	NOUN
cana-4039	24	17	:	:	PUNCT
cana-4039	25	1	[	[	X
cana-4039	25	2	12	12	NUM
cana-4039	25	3	]	]	PUNCT
cana-4039	25	4	it	it	PRON
cana-4039	25	5	was	be	AUX
cana-4039	25	6	found	find	VERB
cana-4039	25	7	that	that	SCONJ
cana-4039	25	8	when	when	SCONJ
cana-4039	25	9	exposed	expose	VERB
cana-4039	25	10	to	to	ADP
cana-4039	25	11	noise	noise	NOUN
cana-4039	25	12	from	from	ADP
cana-4039	25	13	an	an	DET
cana-4039	25	14	attacker	attacker	NOUN
cana-4039	25	15	,	,	PUNCT
cana-4039	25	16	the	the	DET
cana-4039	25	17	i	i	PROPN
cana-4039	25	18	m	m	VERB
cana-4039	25	19	method	method	NOUN
cana-4039	25	20	is	be	AUX
cana-4039	25	21	less	less	ADV
cana-4039	25	22	precise	precise	ADJ
cana-4039	25	23	in	in	ADP
cana-4039	25	24	terms	term	NOUN
cana-4039	25	25	of	of	ADP
cana-4039	25	26	probabilities	probability	NOUN
cana-4039	25	27	of	of	ADP
cana-4039	25	28	input	input	NOUN
cana-4039	25	29	effects	effect	NOUN
cana-4039	25	30	.	.	PUNCT
cana-4039	26	1	another	another	DET
cana-4039	26	2	way	way	NOUN
cana-4039	26	3	to	to	PART
cana-4039	26	4	put	put	VERB
cana-4039	26	5	it	it	PRON
cana-4039	26	6	is	be	AUX
cana-4039	26	7	that	that	SCONJ
cana-4039	26	8	changing	change	VERB
cana-4039	26	9	the	the	DET
cana-4039	26	10	diffusion	diffusion	NOUN
cana-4039	26	11	model	model	NOUN
cana-4039	26	12	's	's	PART
cana-4039	26	13	impact	impact	NOUN
cana-4039	26	14	probability	probability	NOUN
cana-4039	26	15	significantly	significantly	ADV
cana-4039	26	16	alters	alter	VERB
cana-4039	26	17	the	the	DET
cana-4039	26	18	ideal	ideal	NOUN
cana-4039	26	19	subset	subset	NOUN
cana-4039	26	20	.	.	PUNCT
cana-4039	27	1	although	although	SCONJ
cana-4039	27	2	various	various	ADJ
cana-4039	27	3	research	research	NOUN
cana-4039	27	4	(	(	PUNCT
cana-4039	27	5	e.g.	e.g.	ADV
cana-4039	27	6	,	,	PUNCT
cana-4039	27	7	irie	irie	NOUN
cana-4039	27	8	and	and	CCONJ
cana-4039	27	9	easyim	easyim	NOUN
cana-4039	27	10	)	)	PUNCT
cana-4039	27	11	have	have	AUX
cana-4039	27	12	looked	look	VERB
cana-4039	27	13	at	at	ADP
cana-4039	27	14	this	this	DET
cana-4039	27	15	problem	problem	NOUN
cana-4039	27	16	,	,	PUNCT
cana-4039	27	17	they	they	PRON
cana-4039	27	18	all	all	PRON
cana-4039	27	19	make	make	VERB
cana-4039	27	20	the	the	DET
cana-4039	27	21	same	same	ADJ
cana-4039	27	22	assumptions	assumption	NOUN
cana-4039	27	23	regarding	regard	VERB
cana-4039	27	24	the	the	DET
cana-4039	27	25	stability	stability	NOUN
cana-4039	27	26	of	of	ADP
cana-4039	27	27	the	the	DET
cana-4039	27	28	social	social	ADJ
cana-4039	27	29	network	network	NOUN
cana-4039	27	30	's	's	PART
cana-4039	27	31	topology	topology	NOUN
cana-4039	27	32	.	.	PUNCT
cana-4039	28	1	the	the	DET
cana-4039	28	2	graph	graph	NOUN
cana-4039	28	3	's	's	PART
cana-4039	28	4	structure	structure	NOUN
cana-4039	28	5	is	be	AUX
cana-4039	28	6	dynamic	dynamic	ADJ
cana-4039	28	7	,	,	PUNCT
cana-4039	28	8	evolving	evolve	VERB
cana-4039	28	9	at	at	ADP
cana-4039	28	10	all	all	DET
cana-4039	28	11	levels	level	NOUN
cana-4039	28	12	.	.	PUNCT
cana-4039	29	1	it	it	PRON
cana-4039	29	2	seems	seem	VERB
cana-4039	29	3	hard	hard	ADJ
cana-4039	29	4	to	to	PART
cana-4039	29	5	get	get	VERB
cana-4039	29	6	a	a	DET
cana-4039	29	7	good	good	ADJ
cana-4039	29	8	seed	seed	NOUN
cana-4039	29	9	set	set	VERB
cana-4039	29	10	in	in	ADP
cana-4039	29	11	a	a	DET
cana-4039	29	12	big	big	ADJ
cana-4039	29	13	social	social	ADJ
cana-4039	29	14	network	network	NOUN
cana-4039	29	15	.	.	PUNCT
cana-4039	30	1	•	•	NUM
cana-4039	30	2	no	no	DET
cana-4039	30	3	restriction	restriction	NOUN
cana-4039	30	4	to	to	PART
cana-4039	30	5	strict	strict	VERB
cana-4039	30	6	sub	sub	NOUN
cana-4039	30	7	-	-	NOUN
cana-4039	30	8	modularity	modularity	NOUN
cana-4039	30	9	:	:	PUNCT
cana-4039	30	10	the	the	DET
cana-4039	30	11	i	i	PRON
cana-4039	30	12	m	m	VERB
cana-4039	30	13	problem	problem	NOUN
cana-4039	30	14	is	be	AUX
cana-4039	30	15	addressed	address	VERB
cana-4039	30	16	with	with	ADP
cana-4039	30	17	a	a	DET
cana-4039	30	18	sub	sub	ADJ
cana-4039	30	19	-	-	ADJ
cana-4039	30	20	modular	modular	ADJ
cana-4039	30	21	goal	goal	NOUN
cana-4039	30	22	influence	influence	NOUN
cana-4039	30	23	function	function	NOUN
cana-4039	30	24	.	.	PUNCT
cana-4039	31	1	in	in	ADP
cana-4039	31	2	some	some	DET
cana-4039	31	3	other	other	ADJ
cana-4039	31	4	instances	instance	NOUN
cana-4039	31	5	,	,	PUNCT
cana-4039	31	6	the	the	DET
cana-4039	31	7	target	target	NOUN
cana-4039	31	8	function	function	NOUN
cana-4039	31	9	submodularity	submodularity	NOUN
cana-4039	31	10	has	have	AUX
cana-4039	31	11	been	be	AUX
cana-4039	31	12	too	too	ADV
cana-4039	31	13	strong	strong	ADJ
cana-4039	31	14	.	.	PUNCT
cana-4039	32	1	combining	combine	VERB
cana-4039	32	2	a	a	DET
cana-4039	32	3	greedy	greedy	ADJ
cana-4039	32	4	framework	framework	NOUN
cana-4039	32	5	with	with	ADP
cana-4039	32	6	a	a	DET
cana-4039	32	7	non	non	ADJ
cana-4039	32	8	-	-	ADJ
cana-4039	32	9	sub	sub	ADJ
cana-4039	32	10	-	-	ADJ
cana-4039	32	11	modular	modular	ADJ
cana-4039	32	12	goal	goal	NOUN
cana-4039	32	13	effect	effect	NOUN
cana-4039	32	14	function	function	NOUN
cana-4039	32	15	significantly	significantly	ADV
cana-4039	32	16	decreases	decrease	VERB
cana-4039	32	17	the	the	DET
cana-4039	32	18	theoretical	theoretical	ADJ
cana-4039	32	19	approximation	approximation	NOUN
cana-4039	32	20	ratio	ratio	NOUN
cana-4039	32	21	.	.	PUNCT
cana-4039	33	1	models	model	NOUN
cana-4039	33	2	with	with	ADP
cana-4039	33	3	a	a	DET
cana-4039	33	4	broader	broad	ADJ
cana-4039	33	5	picture	picture	NOUN
cana-4039	33	6	of	of	ADP
cana-4039	33	7	functions	function	NOUN
cana-4039	33	8	assist	assist	VERB
cana-4039	33	9	to	to	PART
cana-4039	33	10	meet	meet	VERB
cana-4039	33	11	real	real	ADJ
cana-4039	33	12	-	-	PUNCT
cana-4039	33	13	world	world	NOUN
cana-4039	33	14	expectations	expectation	NOUN
cana-4039	33	15	.	.	PUNCT
cana-4039	34	1	for	for	ADP
cana-4039	34	2	instance	instance	NOUN
cana-4039	34	3	,	,	PUNCT
cana-4039	34	4	[	[	X
cana-4039	34	5	13	13	NUM
cana-4039	34	6	]	]	PUNCT
cana-4039	34	7	provides	provide	VERB
cana-4039	34	8	a	a	DET
cana-4039	34	9	weak	weak	ADJ
cana-4039	34	10	submodular	submodular	ADJ
cana-4039	34	11	function	function	NOUN
cana-4039	34	12	.	.	PUNCT
cana-4039	35	1	•	•	NUM
cana-4039	35	2	group	group	NOUN
cana-4039	35	3	norms	norm	VERB
cana-4039	35	4	:	:	PUNCT
cana-4039	35	5	the	the	DET
cana-4039	35	6	existing	exist	VERB
cana-4039	35	7	i	i	NOUN
cana-4039	35	8	m	m	NOUN
cana-4039	35	9	technique	technique	NOUN
cana-4039	35	10	is	be	AUX
cana-4039	35	11	primarily	primarily	ADV
cana-4039	35	12	concerned	concerned	ADJ
cana-4039	35	13	with	with	ADP
cana-4039	35	14	the	the	DET
cana-4039	35	15	interaction	interaction	NOUN
cana-4039	35	16	of	of	ADP
cana-4039	35	17	two	two	NUM
cana-4039	35	18	nodes	node	NOUN
cana-4039	35	19	.	.	PUNCT
cana-4039	36	1	people	people	NOUN
cana-4039	36	2	are	be	AUX
cana-4039	36	3	heavily	heavily	ADV
cana-4039	36	4	impacted	impact	VERB
cana-4039	36	5	by	by	ADP
cana-4039	36	6	community	community	NOUN
cana-4039	36	7	dynamics	dynamic	NOUN
cana-4039	36	8	,	,	PUNCT
cana-4039	36	9	particularly	particularly	ADV
cana-4039	36	10	herd	herd	ADJ
cana-4039	36	11	mentality	mentality	NOUN
cana-4039	36	12	.	.	PUNCT
cana-4039	37	1	others	other	NOUN
cana-4039	37	2	who	who	PRON
cana-4039	37	3	share	share	VERB
cana-4039	37	4	age	age	NOUN
cana-4039	37	5	,	,	PUNCT
cana-4039	37	6	experience	experience	NOUN
cana-4039	37	7	,	,	PUNCT
cana-4039	37	8	and	and	CCONJ
cana-4039	37	9	level	level	NOUN
cana-4039	37	10	of	of	ADP
cana-4039	37	11	education	education	NOUN
cana-4039	37	12	contributes	contribute	VERB
cana-4039	37	13	to	to	PART
cana-4039	37	14	shape	shape	VERB
cana-4039	37	15	.	.	PUNCT
cana-4039	38	1	for	for	ADP
cana-4039	38	2	example	example	NOUN
cana-4039	38	3	,	,	PUNCT
cana-4039	38	4	the	the	DET
cana-4039	38	5	foundational	foundational	ADJ
cana-4039	38	6	study	study	NOUN
cana-4039	38	7	on	on	ADP
cana-4039	38	8	the	the	DET
cana-4039	38	9	consistency	consistency	NOUN
cana-4039	38	10	-	-	PUNCT
cana-4039	38	11	perception	perception	NOUN
cana-4039	38	12	i	i	PRON
cana-4039	38	13	m	m	VERB
cana-4039	38	14	issue	issue	NOUN
cana-4039	38	15	undertaken	undertake	VERB
cana-4039	38	16	in	in	ADP
cana-4039	38	17	[	[	X
cana-4039	38	18	14	14	NUM
cana-4039	38	19	]	]	PUNCT
cana-4039	38	20	and	and	CCONJ
cana-4039	38	21	[	[	X
cana-4039	38	22	15	15	NUM
cana-4039	38	23	]	]	PUNCT
cana-4039	38	24	incorporated	incorporate	VERB
cana-4039	38	25	user	user	NOUN
cana-4039	38	26	characteristics	characteristic	NOUN
cana-4039	38	27	linked	link	VERB
cana-4039	38	28	with	with	ADP
cana-4039	38	29	social	social	ADJ
cana-4039	38	30	groups	group	NOUN
cana-4039	38	31	.	.	PUNCT
cana-4039	39	1	using	use	VERB
cana-4039	39	2	online	online	ADJ
cana-4039	39	3	social	social	ADJ
cana-4039	39	4	networks	network	NOUN
cana-4039	39	5	(	(	PUNCT
cana-4039	39	6	osn	osn	NOUN
cana-4039	39	7	)	)	PUNCT
cana-4039	39	8	and	and	CCONJ
cana-4039	39	9	support	support	VERB
cana-4039	39	10	vector	vector	NOUN
cana-4039	39	11	machines	machine	NOUN
cana-4039	39	12	(	(	PUNCT
cana-4039	39	13	svm	svm	PROPN
cana-4039	39	14	)	)	PUNCT
cana-4039	39	15	(	(	PUNCT
cana-4039	39	16	[	[	X
cana-4039	39	17	16	16	NUM
cana-4039	39	18	]	]	PUNCT
cana-4039	39	19	,	,	PUNCT
cana-4039	39	20	[	[	X
cana-4039	39	21	17	17	NUM
cana-4039	39	22	]	]	NUM
cana-4039	39	23	)	)	PUNCT
cana-4039	39	24	,	,	PUNCT
cana-4039	39	25	the	the	DET
cana-4039	39	26	suggested	suggest	VERB
cana-4039	39	27	technique	technique	NOUN
cana-4039	39	28	automatically	automatically	ADV
cana-4039	39	29	determines	determine	VERB
cana-4039	39	30	the	the	DET
cana-4039	39	31	most	most	ADV
cana-4039	39	32	influential	influential	ADJ
cana-4039	39	33	elements	element	NOUN
cana-4039	39	34	of	of	ADP
cana-4039	39	35	spam	spam	NOUN
cana-4039	39	36	profiles	profile	NOUN
cana-4039	39	37	and	and	CCONJ
cana-4039	39	38	resolves	resolve	NOUN
cana-4039	39	39	these	these	DET
cana-4039	39	40	issues	issue	NOUN
cana-4039	39	41	using	use	VERB
cana-4039	39	42	lr	lr	PROPN
cana-4039	39	43	,	,	PUNCT
cana-4039	39	44	gnb	gnb	PROPN
cana-4039	39	45	,	,	PUNCT
cana-4039	39	46	and	and	CCONJ
cana-4039	39	47	rf	rf	NOUN
cana-4039	39	48	.	.	NOUN
cana-4039	39	49	to	to	PART
cana-4039	39	50	show	show	VERB
cana-4039	39	51	that	that	SCONJ
cana-4039	39	52	the	the	DET
cana-4039	39	53	technique	technique	NOUN
cana-4039	39	54	is	be	AUX
cana-4039	39	55	statistically	statistically	ADV
cana-4039	39	56	significant	significant	ADJ
cana-4039	39	57	,	,	PUNCT
cana-4039	39	58	the	the	DET
cana-4039	39	59	link	link	NOUN
cana-4039	39	60	between	between	ADP
cana-4039	39	61	a	a	DET
cana-4039	39	62	user	user	NOUN
cana-4039	39	63	's	's	PART
cana-4039	39	64	overall	overall	ADJ
cana-4039	39	65	likelihood	likelihood	NOUN
cana-4039	39	66	of	of	ADP
cana-4039	39	67	clicking	click	VERB
cana-4039	39	68	on	on	ADP
cana-4039	39	69	advertising	advertising	NOUN
cana-4039	39	70	and	and	CCONJ
cana-4039	39	71	the	the	DET
cana-4039	39	72	number	number	NOUN
cana-4039	39	73	of	of	ADP
cana-4039	39	74	friends	friend	NOUN
cana-4039	39	75	is	be	AUX
cana-4039	39	76	looked	look	VERB
cana-4039	39	77	[	[	PUNCT
cana-4039	39	78	18	18	NUM
cana-4039	39	79	]	]	PUNCT
cana-4039	39	80	.	.	PUNCT
cana-4039	40	1	these	these	DET
cana-4039	40	2	impact	impact	NOUN
cana-4039	40	3	model	model	NOUN
cana-4039	40	4	parameters	parameter	NOUN
cana-4039	40	5	are	be	AUX
cana-4039	40	6	derived	derive	VERB
cana-4039	40	7	from	from	ADP
cana-4039	40	8	a	a	DET
cana-4039	40	9	simple	simple	ADJ
cana-4039	40	10	lr	lr	NOUN
cana-4039	40	11	model	model	NOUN
cana-4039	40	12	.	.	PUNCT
cana-4039	41	1	many	many	ADJ
cana-4039	41	2	theories	theory	NOUN
cana-4039	41	3	have	have	AUX
cana-4039	41	4	centered	center	VERB
cana-4039	41	5	on	on	ADP
cana-4039	41	6	the	the	DET
cana-4039	41	7	automated	automate	VERB
cana-4039	41	8	classification	classification	NOUN
cana-4039	41	9	of	of	ADP
cana-4039	41	10	messages	message	NOUN
cana-4039	41	11	as	as	ADP
cana-4039	41	12	spam	spam	NOUN
cana-4039	41	13	or	or	CCONJ
cana-4039	41	14	authentic	authentic	ADJ
cana-4039	41	15	.	.	PUNCT
cana-4039	42	1	machine	machine	NOUN
cana-4039	42	2	learning	learning	NOUN
cana-4039	42	3	(	(	PUNCT
cana-4039	42	4	ml	ml	NOUN
cana-4039	42	5	)	)	PUNCT
cana-4039	42	6	outperforms	outperform	VERB
cana-4039	42	7	the	the	DET
cana-4039	42	8	other	other	ADJ
cana-4039	42	9	mentioned	mention	VERB
cana-4039	42	10	methodologies	methodology	NOUN
cana-4039	42	11	.	.	PUNCT
cana-4039	43	1	among	among	ADP
cana-4039	43	2	the	the	DET
cana-4039	43	3	most	most	ADV
cana-4039	43	4	well	well	ADV
cana-4039	43	5	-	-	PUNCT
cana-4039	43	6	known	know	VERB
cana-4039	43	7	and	and	CCONJ
cana-4039	43	8	respected	respected	ADJ
cana-4039	43	9	text	text	NOUN
cana-4039	43	10	classification	classification	NOUN
cana-4039	43	11	approaches	approach	NOUN
cana-4039	43	12	,	,	PUNCT
cana-4039	43	13	the	the	DET
cana-4039	43	14	age	age	NOUN
cana-4039	43	15	-	-	PUNCT
cana-4039	43	16	old	old	ADJ
cana-4039	43	17	naive	naive	ADJ
cana-4039	43	18	bayes	bayes	NOUN
cana-4039	43	19	classifier	classifier	NOUN
cana-4039	43	20	and	and	CCONJ
cana-4039	43	21	support	support	VERB
cana-4039	43	22	vector	vector	NOUN
cana-4039	43	23	machines	machine	NOUN
cana-4039	43	24	(	(	PUNCT
cana-4039	43	25	svms	svms	NOUN
cana-4039	43	26	)	)	PUNCT
cana-4039	43	27	are	be	AUX
cana-4039	43	28	notable	notable	ADJ
cana-4039	43	29	[	[	PUNCT
cana-4039	43	30	19	19	NUM
cana-4039	43	31	-	-	SYM
cana-4039	43	32	21	21	NUM
cana-4039	43	33	]	]	PUNCT
cana-4039	43	34	.	.	PUNCT
cana-4039	44	1	to	to	PART
cana-4039	44	2	solve	solve	VERB
cana-4039	44	3	the	the	DET
cana-4039	44	4	dynamic	dynamic	ADJ
cana-4039	44	5	link	link	NOUN
cana-4039	44	6	prediction	prediction	NOUN
cana-4039	44	7	issue	issue	NOUN
cana-4039	44	8	,	,	PUNCT
cana-4039	44	9	a	a	DET
cana-4039	44	10	gnb	gnb	PROPN
cana-4039	44	11	-	-	PUNCT
cana-4039	44	12	based	base	VERB
cana-4039	44	13	model	model	NOUN
cana-4039	44	14	is	be	AUX
cana-4039	44	15	proposed	propose	VERB
cana-4039	44	16	that	that	SCONJ
cana-4039	44	17	considers	consider	VERB
cana-4039	44	18	user	user	NOUN
cana-4039	44	19	connections	connection	NOUN
cana-4039	44	20	and	and	CCONJ
cana-4039	44	21	behavioral	behavioral	ADJ
cana-4039	44	22	patterns	pattern	NOUN
cana-4039	44	23	based	base	VERB
cana-4039	44	24	on	on	ADP
cana-4039	44	25	features	feature	NOUN
cana-4039	44	26	,	,	PUNCT
cana-4039	44	27	popularity	popularity	NOUN
cana-4039	44	28	,	,	PUNCT
cana-4039	44	29	user	user	NOUN
cana-4039	44	30	interests	interest	NOUN
cana-4039	44	31	,	,	PUNCT
cana-4039	44	32	location	location	NOUN
cana-4039	44	33	,	,	PUNCT
cana-4039	44	34	and	and	CCONJ
cana-4039	44	35	user	user	NOUN
cana-4039	44	36	attributes	attribute	VERB
cana-4039	44	37	[	[	PUNCT
cana-4039	44	38	22].in	22].in	NUM
cana-4039	44	39	such	such	ADJ
cana-4039	44	40	circumstances	circumstance	NOUN
cana-4039	44	41	,	,	PUNCT
cana-4039	44	42	rf	rf	PRON
cana-4039	44	43	uses	use	VERB
cana-4039	44	44	randomised	randomise	VERB
cana-4039	44	45	decision	decision	NOUN
cana-4039	44	46	trees	tree	NOUN
cana-4039	44	47	to	to	PART
cana-4039	44	48	address	address	VERB
cana-4039	44	49	issues	issue	NOUN
cana-4039	44	50	such	such	ADJ
cana-4039	44	51	as	as	ADP
cana-4039	44	52	excessive	excessive	ADJ
cana-4039	44	53	variation	variation	NOUN
cana-4039	44	54	or	or	CCONJ
cana-4039	44	55	bias	bias	NOUN
cana-4039	44	56	among	among	ADP
cana-4039	44	57	individual	individual	ADJ
cana-4039	44	58	decision	decision	NOUN
cana-4039	44	59	trees	tree	NOUN
cana-4039	44	60	.	.	PUNCT
cana-4039	45	1	it	it	PRON
cana-4039	45	2	is	be	AUX
cana-4039	45	3	an	an	DET
cana-4039	45	4	example	example	NOUN
cana-4039	45	5	of	of	ADP
cana-4039	45	6	independent	independent	ADJ
cana-4039	45	7	ensemble	ensemble	ADJ
cana-4039	45	8	categorization	categorization	NOUN
cana-4039	45	9	.	.	PUNCT
cana-4039	46	1	the	the	DET
cana-4039	46	2	primary	primary	ADJ
cana-4039	46	3	idea	idea	NOUN
cana-4039	46	4	of	of	ADP
cana-4039	46	5	rf	rf	PRON
cana-4039	46	6	[	[	PUNCT
cana-4039	46	7	24	24	NUM
cana-4039	46	8	-	-	SYM
cana-4039	46	9	25	25	NUM
cana-4039	46	10	]	]	PUNCT
cana-4039	46	11	is	be	AUX
cana-4039	46	12	to	to	PART
cana-4039	46	13	create	create	VERB
cana-4039	46	14	many	many	ADJ
cana-4039	46	15	decision	decision	NOUN
cana-4039	46	16	or	or	CCONJ
cana-4039	46	17	classification	classification	NOUN
cana-4039	46	18	trees	tree	NOUN
cana-4039	46	19	.	.	PUNCT
cana-4039	47	1	using	use	VERB
cana-4039	47	2	an	an	DET
cana-4039	47	3	rf	rf	NOUN
cana-4039	47	4	classifier	classifier	NOUN
cana-4039	47	5	on	on	ADP
cana-4039	47	6	a	a	DET
cana-4039	47	7	limited	limited	ADJ
cana-4039	47	8	dataset	dataset	NOUN
cana-4039	47	9	and	and	CCONJ
cana-4039	47	10	repeatedly	repeatedly	ADV
cana-4039	47	11	moving	move	VERB
cana-4039	47	12	the	the	DET
cana-4039	47	13	beginning	beginning	NOUN
cana-4039	47	14	point	point	NOUN
cana-4039	47	15	until	until	SCONJ
cana-4039	47	16	it	it	PRON
cana-4039	47	17	discovers	discover	VERB
cana-4039	47	18	the	the	DET
cana-4039	47	19	best	good	ADJ
cana-4039	47	20	hypothesis	hypothesis	NOUN
cana-4039	47	21	has	have	AUX
cana-4039	47	22	resulted	result	VERB
cana-4039	47	23	in	in	ADP
cana-4039	47	24	the	the	DET
cana-4039	47	25	generation	generation	NOUN
cana-4039	47	26	of	of	ADP
cana-4039	47	27	a	a	DET
cana-4039	47	28	new	new	ADJ
cana-4039	47	29	function	function	NOUN
cana-4039	47	30	.	.	PUNCT
cana-4039	48	1	this	this	PRON
cana-4039	48	2	is	be	AUX
cana-4039	48	3	why	why	SCONJ
cana-4039	48	4	the	the	DET
cana-4039	48	5	classifier	classifier	NOUN
cana-4039	48	6	[	[	X
cana-4039	48	7	26	26	NUM
cana-4039	48	8	]	]	PUNCT
cana-4039	48	9	is	be	AUX
cana-4039	48	10	utilized	utilize	VERB
cana-4039	48	11	for	for	ADP
cana-4039	48	12	impact	impact	NOUN
cana-4039	48	13	maximization	maximization	NOUN
cana-4039	48	14	classification	classification	NOUN
cana-4039	48	15	.	.	PUNCT
cana-4039	49	1	organization	organization	NOUN
cana-4039	49	2	:	:	PUNCT
cana-4039	49	3	the	the	DET
cana-4039	49	4	rest	rest	NOUN
cana-4039	49	5	of	of	ADP
cana-4039	49	6	the	the	DET
cana-4039	49	7	work	work	NOUN
cana-4039	49	8	is	be	AUX
cana-4039	49	9	presented	present	VERB
cana-4039	49	10	as	as	SCONJ
cana-4039	49	11	follows	follow	VERB
cana-4039	49	12	.	.	PUNCT
cana-4039	50	1	section	section	NOUN
cana-4039	50	2	ii	ii	PROPN
cana-4039	50	3	consists	consist	VERB
cana-4039	50	4	of	of	ADP
cana-4039	50	5	some	some	DET
cana-4039	50	6	review	review	NOUN
cana-4039	50	7	articles	article	NOUN
cana-4039	50	8	.	.	PUNCT
cana-4039	51	1	section	section	NOUN
cana-4039	51	2	iii	iii	PROPN
cana-4039	51	3	describes	describe	VERB
cana-4039	51	4	fusion	fusion	NOUN
cana-4039	51	5	ml	ml	VERB
cana-4039	51	6	's	's	PART
cana-4039	51	7	working	working	NOUN
cana-4039	51	8	processes	process	NOUN
cana-4039	51	9	.	.	PUNCT
cana-4039	52	1	running	run	VERB
cana-4039	52	2	tests	test	NOUN
cana-4039	52	3	on	on	ADP
cana-4039	52	4	raw	raw	ADJ
cana-4039	52	5	data	datum	NOUN
cana-4039	52	6	in	in	ADP
cana-4039	52	7	part	part	NOUN
cana-4039	52	8	iv	iv	NUM
cana-4039	52	9	tries	try	VERB
cana-4039	52	10	to	to	PART
cana-4039	52	11	compare	compare	VERB
cana-4039	52	12	system	system	NOUN
cana-4039	52	13	predictions	prediction	NOUN
cana-4039	52	14	to	to	ADP
cana-4039	52	15	current	current	ADJ
cana-4039	52	16	ones	one	NOUN
cana-4039	52	17	.	.	PUNCT
cana-4039	53	1	1.1	1.1	NUM
cana-4039	53	2	motivation	motivation	NOUN
cana-4039	53	3	of	of	ADP
cana-4039	53	4	this	this	DET
cana-4039	53	5	paper	paper	NOUN
cana-4039	53	6	the	the	DET
cana-4039	53	7	primary	primary	ADJ
cana-4039	53	8	purpose	purpose	NOUN
cana-4039	53	9	of	of	ADP
cana-4039	53	10	the	the	DET
cana-4039	53	11	project	project	NOUN
cana-4039	53	12	is	be	AUX
cana-4039	53	13	to	to	PART
cana-4039	53	14	address	address	VERB
cana-4039	53	15	categorization	categorization	NOUN
cana-4039	53	16	problems	problem	NOUN
cana-4039	53	17	by	by	ADP
cana-4039	53	18	combining	combine	VERB
cana-4039	53	19	several	several	ADJ
cana-4039	53	20	machine	machine	NOUN
cana-4039	53	21	learning	learning	NOUN
cana-4039	53	22	algorithms	algorithm	NOUN
cana-4039	53	23	.	.	PUNCT
cana-4039	54	1	svm	svm	PROPN
cana-4039	54	2	,	,	PUNCT
cana-4039	54	3	lr	lr	PROPN
cana-4039	54	4	,	,	PUNCT
cana-4039	54	5	gnb	gnb	PROPN
cana-4039	54	6	,	,	PUNCT
cana-4039	54	7	and	and	CCONJ
cana-4039	54	8	rf	rf	VERB
cana-4039	54	9	each	each	DET
cana-4039	54	10	offer	offer	VERB
cana-4039	54	11	unique	unique	ADJ
cana-4039	54	12	advantages	advantage	NOUN
cana-4039	54	13	,	,	PUNCT
cana-4039	54	14	thus	thus	ADV
cana-4039	54	15	it	it	PRON
cana-4039	54	16	is	be	AUX
cana-4039	54	17	critical	critical	ADJ
cana-4039	54	18	to	to	PART
cana-4039	54	19	investigate	investigate	VERB
cana-4039	54	20	their	their	PRON
cana-4039	54	21	potential	potential	NOUN
cana-4039	54	22	.	.	PUNCT
cana-4039	55	1	this	this	PRON
cana-4039	55	2	is	be	AUX
cana-4039	55	3	because	because	SCONJ
cana-4039	55	4	different	different	ADJ
cana-4039	55	5	techniques	technique	NOUN
cana-4039	55	6	perform	perform	VERB
cana-4039	55	7	well	well	ADV
cana-4039	55	8	in	in	ADP
cana-4039	55	9	different	different	ADJ
cana-4039	55	10	domains	domain	NOUN
cana-4039	55	11	and	and	CCONJ
cana-4039	55	12	with	with	ADP
cana-4039	55	13	different	different	ADJ
cana-4039	55	14	types	type	NOUN
cana-4039	55	15	of	of	ADP
cana-4039	55	16	data	datum	NOUN
cana-4039	55	17	.	.	PUNCT
cana-4039	56	1	using	use	VERB
cana-4039	56	2	a	a	DET
cana-4039	56	3	fusion	fusion	NOUN
cana-4039	56	4	ml	ml	ADP
cana-4039	56	5	approach	approach	NOUN
cana-4039	56	6	relies	rely	VERB
cana-4039	56	7	mostly	mostly	ADV
cana-4039	56	8	on	on	ADP
cana-4039	56	9	increasing	increase	VERB
cana-4039	56	10	classification	classification	NOUN
cana-4039	56	11	performance	performance	NOUN
cana-4039	56	12	.	.	PUNCT
cana-4039	57	1	this	this	DET
cana-4039	57	2	study	study	NOUN
cana-4039	57	3	seeks	seek	VERB
cana-4039	57	4	to	to	PART
cana-4039	57	5	increase	increase	VERB
cana-4039	57	6	the	the	DET
cana-4039	57	7	accuracy	accuracy	NOUN
cana-4039	57	8	and	and	CCONJ
cana-4039	57	9	durability	durability	NOUN
cana-4039	57	10	of	of	ADP
cana-4039	57	11	classification	classification	NOUN
cana-4039	57	12	findings	finding	NOUN
cana-4039	57	13	via	via	ADP
cana-4039	57	14	the	the	DET
cana-4039	57	15	use	use	NOUN
cana-4039	57	16	of	of	ADP
cana-4039	57	17	ensemble	ensemble	ADJ
cana-4039	57	18	techniques	technique	NOUN
cana-4039	57	19	such	such	ADJ
cana-4039	57	20	as	as	ADP
cana-4039	57	21	voting	voting	NOUN
cana-4039	57	22	,	,	PUNCT
cana-4039	57	23	stacking	stacking	NOUN
cana-4039	57	24	,	,	PUNCT
cana-4039	57	25	and	and	CCONJ
cana-4039	57	26	weighted	weight	VERB
cana-4039	57	27	average	average	ADJ
cana-4039	57	28	.	.	PUNCT
cana-4039	58	1	this	this	DET
cana-4039	58	2	strategy	strategy	NOUN
cana-4039	58	3	seeks	seek	VERB
cana-4039	58	4	to	to	PART
cana-4039	58	5	optimise	optimise	VERB
cana-4039	58	6	the	the	DET
cana-4039	58	7	beneficial	beneficial	ADJ
cana-4039	58	8	qualities	quality	NOUN
cana-4039	58	9	of	of	ADP
cana-4039	58	10	certain	certain	ADJ
cana-4039	58	11	classifiers	classifier	NOUN
cana-4039	58	12	while	while	SCONJ
cana-4039	58	13	limiting	limit	VERB
cana-4039	58	14	the	the	DET
cana-4039	58	15	effect	effect	NOUN
cana-4039	58	16	of	of	ADP
cana-4039	58	17	their	their	PRON
cana-4039	58	18	negative	negative	ADJ
cana-4039	58	19	ones	one	NOUN
cana-4039	58	20	.	.	PUNCT
cana-4039	59	1	communications	communication	NOUN
cana-4039	59	2	on	on	ADP
cana-4039	59	3	applied	apply	VERB
cana-4039	59	4	nonlinear	nonlinear	ADJ
cana-4039	59	5	analysis	analysis	NOUN
cana-4039	59	6	issn	issn	NOUN
cana-4039	59	7	:	:	PUNCT
cana-4039	59	8	1074	1074	NUM
cana-4039	59	9	-	-	PUNCT
cana-4039	59	10	133x	133x	NUM
cana-4039	59	11	vol	vol	NOUN
cana-4039	59	12	32	32	NUM
cana-4039	59	13	no	no	NOUN
cana-4039	59	14	.	.	PUNCT
cana-4039	60	1	9s	9s	NUM
cana-4039	60	2	(	(	PUNCT
cana-4039	60	3	2025	2025	NUM
cana-4039	60	4	)	)	PUNCT
cana-4039	60	5	912	912	NUM
cana-4039	60	6	https://internationalpubls.com	https://internationalpubls.com	PROPN
cana-4039	60	7	ii	ii	PROPN
cana-4039	60	8	.	.	PUNCT
cana-4039	61	1	background	background	PROPN
cana-4039	61	2	study	study	PROPN
cana-4039	61	3	y.	y.	PROPN
cana-4039	61	4	li	li	PROPN
cana-4039	61	5	et	et	PROPN
cana-4039	61	6	al	al	PROPN
cana-4039	61	7	.	.	PROPN
cana-4039	61	8	investigated	investigate	VERB
cana-4039	61	9	existing	exist	VERB
cana-4039	61	10	techniques	technique	NOUN
cana-4039	61	11	,	,	PUNCT
cana-4039	61	12	including	include	VERB
cana-4039	61	13	heuristic	heuristic	NOUN
cana-4039	61	14	and	and	CCONJ
cana-4039	61	15	approximation	approximation	NOUN
cana-4039	61	16	approaches	approach	NOUN
cana-4039	61	17	.	.	PUNCT
cana-4039	62	1	the	the	DET
cana-4039	62	2	heuristic	heuristic	ADJ
cana-4039	62	3	approach	approach	NOUN
cana-4039	62	4	is	be	AUX
cana-4039	62	5	only	only	ADV
cana-4039	62	6	relevant	relevant	ADJ
cana-4039	62	7	to	to	ADP
cana-4039	62	8	a	a	DET
cana-4039	62	9	certain	certain	ADJ
cana-4039	62	10	diffusion	diffusion	NOUN
cana-4039	62	11	model	model	NOUN
cana-4039	62	12	;	;	PUNCT
cana-4039	62	13	although	although	SCONJ
cana-4039	62	14	it	it	PRON
cana-4039	62	15	is	be	AUX
cana-4039	62	16	useful	useful	ADJ
cana-4039	62	17	and	and	CCONJ
cana-4039	62	18	cost	cost	NOUN
cana-4039	62	19	-	-	PUNCT
cana-4039	62	20	effective	effective	ADJ
cana-4039	62	21	in	in	ADP
cana-4039	62	22	some	some	DET
cana-4039	62	23	cases	case	NOUN
cana-4039	62	24	,	,	PUNCT
cana-4039	62	25	philosophical	philosophical	ADJ
cana-4039	62	26	confidence	confidence	NOUN
cana-4039	62	27	regarding	regard	VERB
cana-4039	62	28	the	the	DET
cana-4039	62	29	worst	bad	ADJ
cana-4039	62	30	-	-	PUNCT
cana-4039	62	31	case	case	NOUN
cana-4039	62	32	scenario	scenario	NOUN
cana-4039	62	33	is	be	AUX
cana-4039	62	34	lacking	lack	VERB
cana-4039	62	35	.	.	PUNCT
cana-4039	63	1	while	while	SCONJ
cana-4039	63	2	time	time	NOUN
cana-4039	63	3	complexity	complexity	NOUN
cana-4039	63	4	prevents	prevent	VERB
cana-4039	63	5	further	further	ADJ
cana-4039	63	6	decreases	decrease	NOUN
cana-4039	63	7	in	in	ADP
cana-4039	63	8	approximation	approximation	NOUN
cana-4039	63	9	,	,	PUNCT
cana-4039	63	10	meeting	meet	VERB
cana-4039	63	11	the	the	DET
cana-4039	63	12	requirement	requirement	NOUN
cana-4039	63	13	for	for	ADP
cana-4039	63	14	algorithm	algorithm	NOUN
cana-4039	63	15	speed	speed	NOUN
cana-4039	63	16	becomes	become	VERB
cana-4039	63	17	increasingly	increasingly	ADV
cana-4039	63	18	difficult	difficult	ADJ
cana-4039	63	19	as	as	SCONJ
cana-4039	63	20	networks	network	NOUN
cana-4039	63	21	grow	grow	VERB
cana-4039	63	22	in	in	ADP
cana-4039	63	23	size	size	NOUN
cana-4039	63	24	.	.	PUNCT
cana-4039	64	1	a.	a.	PROPN
cana-4039	64	2	matakos	matakos	PROPN
cana-4039	64	3	et	et	PROPN
cana-4039	64	4	al	al	PROPN
cana-4039	64	5	.	.	PROPN
cana-4039	64	6	demonstrated	demonstrate	VERB
cana-4039	64	7	a	a	DET
cana-4039	64	8	new	new	ADJ
cana-4039	64	9	method	method	NOUN
cana-4039	64	10	for	for	ADP
cana-4039	64	11	breaking	break	VERB
cana-4039	64	12	filter	filter	NOUN
cana-4039	64	13	bubbles	bubble	NOUN
cana-4039	64	14	.	.	PUNCT
cana-4039	65	1	the	the	DET
cana-4039	65	2	sm	sm	PROPN
cana-4039	65	3	interactions	interaction	NOUN
cana-4039	65	4	analyzed	analyze	VERB
cana-4039	65	5	by	by	ADP
cana-4039	65	6	these	these	DET
cana-4039	65	7	researchers	researcher	NOUN
cana-4039	65	8	included	include	VERB
cana-4039	65	9	a	a	DET
cana-4039	65	10	variety	variety	NOUN
cana-4039	65	11	of	of	ADP
cana-4039	65	12	perspectives	perspective	NOUN
cana-4039	65	13	that	that	PRON
cana-4039	65	14	fell	fall	VERB
cana-4039	65	15	within	within	ADP
cana-4039	65	16	a	a	DET
cana-4039	65	17	certain	certain	ADJ
cana-4039	65	18	range	range	NOUN
cana-4039	65	19	of	of	ADP
cana-4039	65	20	concepts	concept	NOUN
cana-4039	65	21	.	.	PUNCT
cana-4039	66	1	consider	consider	VERB
cana-4039	66	2	a	a	DET
cana-4039	66	3	network	network	NOUN
cana-4039	66	4	in	in	ADP
cana-4039	66	5	which	which	PRON
cana-4039	66	6	a	a	DET
cana-4039	66	7	number	number	NOUN
cana-4039	66	8	of	of	ADP
cana-4039	66	9	items	item	NOUN
cana-4039	66	10	replicate	replicate	VERB
cana-4039	66	11	the	the	DET
cana-4039	66	12	dynamics	dynamic	NOUN
cana-4039	66	13	of	of	ADP
cana-4039	66	14	social	social	ADJ
cana-4039	66	15	media	medium	NOUN
cana-4039	66	16	platforms	platform	NOUN
cana-4039	66	17	by	by	ADP
cana-4039	66	18	messaging	message	VERB
cana-4039	66	19	,	,	PUNCT
cana-4039	66	20	re	re	NOUN
cana-4039	66	21	-	-	NOUN
cana-4039	66	22	sharing	sharing	ADJ
cana-4039	66	23	,	,	PUNCT
cana-4039	66	24	re	re	VERB
cana-4039	66	25	-	-	VERB
cana-4039	66	26	tweeting	tweet	VERB
cana-4039	66	27	,	,	PUNCT
cana-4039	66	28	and	and	CCONJ
cana-4039	66	29	so	so	ADV
cana-4039	66	30	on	on	ADV
cana-4039	66	31	,	,	PUNCT
cana-4039	66	32	effectively	effectively	ADV
cana-4039	66	33	transmitting	transmit	VERB
cana-4039	66	34	every	every	DET
cana-4039	66	35	point	point	NOUN
cana-4039	66	36	of	of	ADP
cana-4039	66	37	view	view	NOUN
cana-4039	66	38	.	.	PUNCT
cana-4039	67	1	everyone	everyone	PRON
cana-4039	67	2	has	have	VERB
cana-4039	67	3	an	an	DET
cana-4039	67	4	opinion	opinion	NOUN
cana-4039	67	5	on	on	ADP
cana-4039	67	6	the	the	DET
cana-4039	67	7	subject	subject	NOUN
cana-4039	67	8	,	,	PUNCT
cana-4039	67	9	which	which	PRON
cana-4039	67	10	influences	influence	VERB
cana-4039	67	11	whether	whether	SCONJ
cana-4039	67	12	or	or	CCONJ
cana-4039	67	13	not	not	PART
cana-4039	67	14	they	they	PRON
cana-4039	67	15	share	share	VERB
cana-4039	67	16	any	any	DET
cana-4039	67	17	specific	specific	ADJ
cana-4039	67	18	work	work	NOUN
cana-4039	67	19	.	.	PUNCT
cana-4039	68	1	h.	h.	PROPN
cana-4039	68	2	hu	hu	PROPN
cana-4039	68	3	et	et	PROPN
cana-4039	68	4	al	al	PROPN
cana-4039	68	5	.	.	PROPN
cana-4039	68	6	developed	develop	VERB
cana-4039	68	7	a	a	DET
cana-4039	68	8	methodology	methodology	NOUN
cana-4039	68	9	for	for	ADP
cana-4039	68	10	the	the	DET
cana-4039	68	11	social	social	ADJ
cana-4039	68	12	propagation	propagation	NOUN
cana-4039	68	13	of	of	ADP
cana-4039	68	14	viral	viral	ADJ
cana-4039	68	15	films	film	NOUN
cana-4039	68	16	that	that	PRON
cana-4039	68	17	maximises	maximise	VERB
cana-4039	68	18	their	their	PRON
cana-4039	68	19	impact	impact	NOUN
cana-4039	68	20	across	across	ADP
cana-4039	68	21	different	different	ADJ
cana-4039	68	22	domains	domain	NOUN
cana-4039	68	23	.	.	PUNCT
cana-4039	69	1	this	this	DET
cana-4039	69	2	approach	approach	NOUN
cana-4039	69	3	includes	include	VERB
cana-4039	69	4	picking	pick	VERB
cana-4039	69	5	seeds	seed	NOUN
cana-4039	69	6	and	and	CCONJ
cana-4039	69	7	delivering	deliver	VERB
cana-4039	69	8	relevant	relevant	ADJ
cana-4039	69	9	films	film	NOUN
cana-4039	69	10	.	.	PUNCT
cana-4039	70	1	the	the	DET
cana-4039	70	2	scientists	scientist	NOUN
cana-4039	70	3	first	first	ADV
cana-4039	70	4	developed	develop	VERB
cana-4039	70	5	a	a	DET
cana-4039	70	6	multi	multi	ADJ
cana-4039	70	7	-	-	ADJ
cana-4039	70	8	topic	topic	ADJ
cana-4039	70	9	-	-	PUNCT
cana-4039	70	10	aware	aware	ADJ
cana-4039	70	11	effect	effect	NOUN
cana-4039	70	12	enhancing	enhance	VERB
cana-4039	70	13	framework	framework	NOUN
cana-4039	70	14	to	to	PART
cana-4039	70	15	mimic	mimic	VERB
cana-4039	70	16	the	the	DET
cana-4039	70	17	challenge	challenge	NOUN
cana-4039	70	18	of	of	ADP
cana-4039	70	19	video	video	NOUN
cana-4039	70	20	dissemination	dissemination	NOUN
cana-4039	70	21	,	,	PUNCT
cana-4039	70	22	and	and	CCONJ
cana-4039	70	23	then	then	ADV
cana-4039	70	24	used	use	VERB
cana-4039	70	25	it	it	PRON
cana-4039	70	26	to	to	PART
cana-4039	70	27	characterize	characterize	VERB
cana-4039	70	28	various	various	ADJ
cana-4039	70	29	video	video	NOUN
cana-4039	70	30	snippets	snippet	NOUN
cana-4039	70	31	across	across	ADP
cana-4039	70	32	several	several	ADJ
cana-4039	70	33	themes	theme	NOUN
cana-4039	70	34	.	.	PUNCT
cana-4039	71	1	once	once	ADV
cana-4039	71	2	the	the	DET
cana-4039	71	3	submodularity	submodularity	NOUN
cana-4039	71	4	of	of	ADP
cana-4039	71	5	the	the	DET
cana-4039	71	6	impact	impact	NOUN
cana-4039	71	7	spread	spread	VERB
cana-4039	71	8	function	function	NOUN
cana-4039	71	9	was	be	AUX
cana-4039	71	10	identified	identify	VERB
cana-4039	71	11	,	,	PUNCT
cana-4039	71	12	the	the	DET
cana-4039	71	13	authors	author	NOUN
cana-4039	71	14	then	then	ADV
cana-4039	71	15	constructed	construct	VERB
cana-4039	71	16	the	the	DET
cana-4039	71	17	greedy	greedy	ADJ
cana-4039	71	18	approach	approach	NOUN
cana-4039	71	19	to	to	PART
cana-4039	71	20	address	address	VERB
cana-4039	71	21	this	this	DET
cana-4039	71	22	problem	problem	NOUN
cana-4039	71	23	.	.	PUNCT
cana-4039	72	1	the	the	DET
cana-4039	72	2	researchers	researcher	NOUN
cana-4039	72	3	established	establish	VERB
cana-4039	72	4	an	an	DET
cana-4039	72	5	upper	upper	ADJ
cana-4039	72	6	bound	bind	VERB
cana-4039	72	7	estimate	estimate	NOUN
cana-4039	72	8	-	-	PUNCT
cana-4039	72	9	based	base	VERB
cana-4039	72	10	approach	approach	NOUN
cana-4039	72	11	and	and	CCONJ
cana-4039	72	12	a	a	DET
cana-4039	72	13	performance	performance	NOUN
cana-4039	72	14	-	-	PUNCT
cana-4039	72	15	constrained	constrain	VERB
cana-4039	72	16	approximation	approximation	NOUN
cana-4039	72	17	algorithm	algorithm	NOUN
cana-4039	72	18	with	with	ADP
cana-4039	72	19	maintained	maintain	VERB
cana-4039	72	20	accuracy	accuracy	NOUN
cana-4039	72	21	and	and	CCONJ
cana-4039	72	22	improved	improved	ADJ
cana-4039	72	23	computation	computation	NOUN
cana-4039	72	24	in	in	ADP
cana-4039	72	25	huge	huge	ADJ
cana-4039	72	26	networks	network	NOUN
cana-4039	72	27	.	.	PUNCT
cana-4039	73	1	w.	w.	PROPN
cana-4039	73	2	yang	yang	PROPN
cana-4039	73	3	et	et	PROPN
cana-4039	73	4	al	al	PROPN
cana-4039	73	5	.	.	PROPN
cana-4039	73	6	used	use	VERB
cana-4039	73	7	a	a	DET
cana-4039	73	8	social	social	ADJ
cana-4039	73	9	network	network	NOUN
cana-4039	73	10	with	with	ADP
cana-4039	73	11	a	a	DET
cana-4039	73	12	known	know	VERB
cana-4039	73	13	neighbor	neighbor	NOUN
cana-4039	73	14	matrix	matrix	NOUN
cana-4039	73	15	to	to	PART
cana-4039	73	16	model	model	VERB
cana-4039	73	17	the	the	DET
cana-4039	73	18	spreading	spreading	NOUN
cana-4039	73	19	of	of	ADP
cana-4039	73	20	information	information	NOUN
cana-4039	73	21	as	as	ADP
cana-4039	73	22	an	an	DET
cana-4039	73	23	epidemic	epidemic	NOUN
cana-4039	73	24	.	.	PUNCT
cana-4039	74	1	to	to	PART
cana-4039	74	2	enhance	enhance	VERB
cana-4039	74	3	a	a	DET
cana-4039	74	4	net	net	ADJ
cana-4039	74	5	reward	reward	NOUN
cana-4039	74	6	function	function	NOUN
cana-4039	74	7	,	,	PUNCT
cana-4039	74	8	seed	seed	NOUN
cana-4039	74	9	set	set	VERB
cana-4039	74	10	selection	selection	NOUN
cana-4039	74	11	and	and	CCONJ
cana-4039	74	12	resource	resource	NOUN
cana-4039	74	13	allocation	allocation	NOUN
cana-4039	74	14	methods	method	NOUN
cana-4039	74	15	for	for	ADP
cana-4039	74	16	a	a	DET
cana-4039	74	17	campaign	campaign	NOUN
cana-4039	74	18	from	from	ADP
cana-4039	74	19	optimal	optimal	ADJ
cana-4039	74	20	control	control	NOUN
cana-4039	74	21	among	among	ADP
cana-4039	74	22	sets	set	NOUN
cana-4039	74	23	of	of	ADP
cana-4039	74	24	nodes	node	NOUN
cana-4039	74	25	were	be	AUX
cana-4039	74	26	developed	develop	VERB
cana-4039	74	27	by	by	ADP
cana-4039	74	28	the	the	DET
cana-4039	74	29	authors	author	NOUN
cana-4039	74	30	.	.	PUNCT
cana-4039	75	1	the	the	DET
cana-4039	75	2	net	net	ADJ
cana-4039	75	3	reward	reward	NOUN
cana-4039	75	4	function	function	NOUN
cana-4039	75	5	is	be	AUX
cana-4039	75	6	linear	linear	ADJ
cana-4039	75	7	and	and	CCONJ
cana-4039	75	8	is	be	AUX
cana-4039	75	9	specified	specify	VERB
cana-4039	75	10	as	as	ADP
cana-4039	75	11	a	a	DET
cana-4039	75	12	sum	sum	NOUN
cana-4039	75	13	of	of	ADP
cana-4039	75	14	reward	reward	NOUN
cana-4039	75	15	due	due	ADP
cana-4039	75	16	to	to	ADP
cana-4039	75	17	message	message	NOUN
cana-4039	75	18	passing	pass	VERB
cana-4039	75	19	over	over	ADP
cana-4039	75	20	the	the	DET
cana-4039	75	21	network	network	NOUN
cana-4039	75	22	and	and	CCONJ
cana-4039	75	23	cost	cost	NOUN
cana-4039	75	24	of	of	ADP
cana-4039	75	25	control	control	NOUN
cana-4039	75	26	execution	execution	NOUN
cana-4039	75	27	.	.	PUNCT
cana-4039	76	1	aggregating	aggregate	VERB
cana-4039	76	2	nodes	node	NOUN
cana-4039	76	3	with	with	ADP
cana-4039	76	4	appropriate	appropriate	ADJ
cana-4039	76	5	centrality	centrality	NOUN
cana-4039	76	6	metric	metric	ADJ
cana-4039	76	7	values	value	NOUN
cana-4039	76	8	results	result	NOUN
cana-4039	76	9	in	in	ADP
cana-4039	76	10	groupings	grouping	NOUN
cana-4039	76	11	.	.	PUNCT
cana-4039	77	1	the	the	DET
cana-4039	77	2	following	follow	VERB
cana-4039	77	3	measures	measure	NOUN
cana-4039	77	4	of	of	ADP
cana-4039	77	5	centrality	centrality	NOUN
cana-4039	77	6	are	be	AUX
cana-4039	77	7	used	use	VERB
cana-4039	77	8	:	:	PUNCT
cana-4039	77	9	degree	degree	NOUN
cana-4039	77	10	,	,	PUNCT
cana-4039	77	11	closeness	closeness	NOUN
cana-4039	77	12	,	,	PUNCT
cana-4039	77	13	page	page	NOUN
cana-4039	77	14	rank	rank	NOUN
cana-4039	77	15	,	,	PUNCT
cana-4039	77	16	and	and	CCONJ
cana-4039	77	17	between	between	ADP
cana-4039	77	18	.	.	PUNCT
cana-4039	78	1	the	the	DET
cana-4039	78	2	authors	author	NOUN
cana-4039	78	3	evaluated	evaluate	VERB
cana-4039	78	4	centrality	centrality	NOUN
cana-4039	78	5	measures	measure	NOUN
cana-4039	78	6	in	in	ADP
cana-4039	78	7	data	datum	NOUN
cana-4039	78	8	distribution	distribution	NOUN
cana-4039	78	9	using	use	VERB
cana-4039	78	10	a	a	DET
cana-4039	78	11	combined	combine	VERB
cana-4039	78	12	ideally	ideally	ADV
cana-4039	78	13	optimum	optimum	ADJ
cana-4039	78	14	control	control	NOUN
cana-4039	78	15	system	system	NOUN
cana-4039	78	16	.	.	PUNCT
cana-4039	79	1	in	in	ADP
cana-4039	79	2	terms	term	NOUN
cana-4039	79	3	of	of	ADP
cana-4039	79	4	competitiveness	competitiveness	NOUN
cana-4039	79	5	,	,	PUNCT
cana-4039	79	6	j.	j.	PROPN
cana-4039	79	7	tong	tong	PROPN
cana-4039	79	8	et	et	PROPN
cana-4039	79	9	al	al	PROPN
cana-4039	79	10	.	.	PROPN
cana-4039	79	11	concentrated	concentrate	VERB
cana-4039	79	12	mostly	mostly	ADV
cana-4039	79	13	on	on	ADP
cana-4039	79	14	increasing	increase	VERB
cana-4039	79	15	information	information	NOUN
cana-4039	79	16	impact	impact	NOUN
cana-4039	79	17	.	.	PUNCT
cana-4039	80	1	hyperlink	hyperlink	ADJ
cana-4039	80	2	-	-	PUNCT
cana-4039	80	3	induced	induce	VERB
cana-4039	80	4	topic	topic	NOUN
cana-4039	80	5	search	search	NOUN
cana-4039	80	6	(	(	PUNCT
cana-4039	80	7	hits	hit	NOUN
cana-4039	80	8	)	)	PUNCT
cana-4039	80	9	uses	use	VERB
cana-4039	80	10	an	an	DET
cana-4039	80	11	algorithm	algorithm	NOUN
cana-4039	80	12	to	to	PART
cana-4039	80	13	create	create	VERB
cana-4039	80	14	large	large	ADJ
cana-4039	80	15	amounts	amount	NOUN
cana-4039	80	16	of	of	ADP
cana-4039	80	17	searchable	searchable	ADJ
cana-4039	80	18	social	social	ADJ
cana-4039	80	19	network	network	NOUN
cana-4039	80	20	data	datum	NOUN
cana-4039	80	21	.	.	PUNCT
cana-4039	81	1	the	the	DET
cana-4039	81	2	strategy	strategy	NOUN
cana-4039	81	3	maximizes	maximize	VERB
cana-4039	81	4	the	the	DET
cana-4039	81	5	influence	influence	NOUN
cana-4039	81	6	of	of	ADP
cana-4039	81	7	the	the	DET
cana-4039	81	8	interaction	interaction	NOUN
cana-4039	81	9	material	material	NOUN
cana-4039	81	10	between	between	ADP
cana-4039	81	11	nodes	node	NOUN
cana-4039	81	12	to	to	ADP
cana-4039	81	13	its	its	PRON
cana-4039	81	14	full	full	ADJ
cana-4039	81	15	capacity	capacity	NOUN
cana-4039	81	16	while	while	SCONJ
cana-4039	81	17	taking	take	VERB
cana-4039	81	18	into	into	ADP
cana-4039	81	19	account	account	NOUN
cana-4039	81	20	user	user	NOUN
cana-4039	81	21	preferences	preference	NOUN
cana-4039	81	22	.	.	PUNCT
cana-4039	82	1	tested	test	VERB
cana-4039	82	2	using	use	VERB
cana-4039	82	3	real	real	ADJ
cana-4039	82	4	twitter	twitter	NOUN
cana-4039	82	5	data	datum	NOUN
cana-4039	82	6	,	,	PUNCT
cana-4039	82	7	their	their	PRON
cana-4039	82	8	suggested	suggest	VERB
cana-4039	82	9	solution	solution	NOUN
cana-4039	82	10	routinely	routinely	ADV
cana-4039	82	11	outperforms	outperform	VERB
cana-4039	82	12	rival	rival	ADJ
cana-4039	82	13	methods	method	NOUN
cana-4039	82	14	.	.	PUNCT
cana-4039	83	1	h.	h.	PROPN
cana-4039	83	2	khavandi	khavandi	PROPN
cana-4039	83	3	suggested	suggest	VERB
cana-4039	83	4	a	a	DET
cana-4039	83	5	method	method	NOUN
cana-4039	83	6	for	for	ADP
cana-4039	83	7	identifying	identify	VERB
cana-4039	83	8	the	the	DET
cana-4039	83	9	optimal	optimal	ADJ
cana-4039	83	10	set	set	NOUN
cana-4039	83	11	of	of	ADP
cana-4039	83	12	nodes	node	NOUN
cana-4039	83	13	for	for	ADP
cana-4039	83	14	a	a	DET
cana-4039	83	15	network	network	NOUN
cana-4039	83	16	by	by	ADP
cana-4039	83	17	combining	combine	VERB
cana-4039	83	18	pso	pso	NOUN
cana-4039	83	19	and	and	CCONJ
cana-4039	83	20	ga	ga	PROPN
cana-4039	83	21	.	.	PUNCT
cana-4039	84	1	genetic	genetic	ADJ
cana-4039	84	2	algorithms	algorithm	NOUN
cana-4039	84	3	have	have	AUX
cana-4039	84	4	found	find	VERB
cana-4039	84	5	applications	application	NOUN
cana-4039	84	6	in	in	ADP
cana-4039	84	7	a	a	DET
cana-4039	84	8	wide	wide	ADJ
cana-4039	84	9	range	range	NOUN
cana-4039	84	10	of	of	ADP
cana-4039	84	11	industries	industry	NOUN
cana-4039	84	12	due	due	ADP
cana-4039	84	13	to	to	ADP
cana-4039	84	14	their	their	PRON
cana-4039	84	15	speed	speed	NOUN
cana-4039	84	16	and	and	CCONJ
cana-4039	84	17	efficiency	efficiency	NOUN
cana-4039	84	18	.	.	PUNCT
cana-4039	85	1	following	follow	VERB
cana-4039	85	2	a	a	DET
cana-4039	85	3	comparison	comparison	NOUN
cana-4039	85	4	of	of	ADP
cana-4039	85	5	the	the	DET
cana-4039	85	6	suggested	suggest	VERB
cana-4039	85	7	strategy	strategy	NOUN
cana-4039	85	8	to	to	ADP
cana-4039	85	9	others	other	NOUN
cana-4039	85	10	including	include	VERB
cana-4039	85	11	genetic	genetic	ADJ
cana-4039	85	12	,	,	PUNCT
cana-4039	85	13	greedy	greedy	ADJ
cana-4039	85	14	general	general	ADJ
cana-4039	85	15	,	,	PUNCT
cana-4039	85	16	discount	discount	NOUN
cana-4039	85	17	degree	degree	NOUN
cana-4039	85	18	,	,	PUNCT
cana-4039	85	19	maximum	maximum	ADJ
cana-4039	85	20	degree	degree	NOUN
cana-4039	85	21	,	,	PUNCT
cana-4039	85	22	and	and	CCONJ
cana-4039	85	23	random	random	ADJ
cana-4039	85	24	selection	selection	NOUN
cana-4039	85	25	the	the	DET
cana-4039	85	26	authors	author	NOUN
cana-4039	85	27	looked	look	VERB
cana-4039	85	28	at	at	ADP
cana-4039	85	29	experimental	experimental	ADJ
cana-4039	85	30	data	datum	NOUN
cana-4039	85	31	to	to	PART
cana-4039	85	32	determine	determine	VERB
cana-4039	85	33	the	the	DET
cana-4039	85	34	level	level	NOUN
cana-4039	85	35	of	of	ADP
cana-4039	85	36	performance	performance	NOUN
cana-4039	85	37	.	.	PUNCT
cana-4039	86	1	among	among	ADP
cana-4039	86	2	many	many	ADJ
cana-4039	86	3	exploration	exploration	NOUN
cana-4039	86	4	strategies	strategy	NOUN
cana-4039	86	5	,	,	PUNCT
cana-4039	86	6	the	the	DET
cana-4039	86	7	suggested	suggest	VERB
cana-4039	86	8	method	method	NOUN
cana-4039	86	9	identifies	identify	VERB
cana-4039	86	10	the	the	DET
cana-4039	86	11	optimal	optimal	ADJ
cana-4039	86	12	set	set	NOUN
cana-4039	86	13	of	of	ADP
cana-4039	86	14	nodes	node	NOUN
cana-4039	86	15	with	with	ADP
cana-4039	86	16	the	the	DET
cana-4039	86	17	greatest	great	ADJ
cana-4039	86	18	impact	impact	NOUN
cana-4039	86	19	.	.	PUNCT
cana-4039	87	1	t.	t.	PROPN
cana-4039	87	2	cai	cai	PROPN
cana-4039	87	3	et	et	PROPN
cana-4039	87	4	al	al	PROPN
cana-4039	87	5	.	.	PROPN
cana-4039	87	6	presented	present	VERB
cana-4039	87	7	a	a	DET
cana-4039	87	8	new	new	ADJ
cana-4039	87	9	field	field	NOUN
cana-4039	87	10	of	of	ADP
cana-4039	87	11	research	research	NOUN
cana-4039	87	12	based	base	VERB
cana-4039	87	13	on	on	ADP
cana-4039	87	14	holistic	holistic	ADJ
cana-4039	87	15	influence	influence	NOUN
cana-4039	87	16	maximization	maximization	NOUN
cana-4039	87	17	(	(	PUNCT
cana-4039	87	18	him	he	PRON
cana-4039	87	19	)	)	PUNCT
cana-4039	87	20	that	that	PRON
cana-4039	87	21	goes	go	VERB
cana-4039	87	22	beyond	beyond	ADP
cana-4039	87	23	the	the	DET
cana-4039	87	24	traditional	traditional	ADJ
cana-4039	87	25	i	i	PRON
cana-4039	87	26	m	m	VERB
cana-4039	87	27	problem	problem	NOUN
cana-4039	87	28	and	and	CCONJ
cana-4039	87	29	adds	add	VERB
cana-4039	87	30	value	value	NOUN
cana-4039	87	31	towards	towards	ADP
cana-4039	87	32	the	the	DET
cana-4039	87	33	numerical	numerical	ADJ
cana-4039	87	34	practical	practical	ADJ
cana-4039	87	35	applications	application	NOUN
cana-4039	87	36	,	,	PUNCT
cana-4039	87	37	has	have	VERB
cana-4039	87	38	no	no	DET
cana-4039	87	39	limitations	limitation	NOUN
cana-4039	87	40	towards	towards	ADP
cana-4039	87	41	event	event	NOUN
cana-4039	87	42	planning	planning	NOUN
cana-4039	87	43	,	,	PUNCT
cana-4039	87	44	advertising	advertising	NOUN
cana-4039	87	45	placement	placement	NOUN
cana-4039	87	46	,	,	PUNCT
cana-4039	87	47	crisis	crisis	NOUN
cana-4039	87	48	resolution	resolution	NOUN
cana-4039	87	49	,	,	PUNCT
cana-4039	87	50	and	and	CCONJ
cana-4039	87	51	many	many	ADJ
cana-4039	87	52	more	more	ADJ
cana-4039	87	53	.	.	PUNCT
cana-4039	88	1	the	the	DET
cana-4039	88	2	him	him	PROPN
cana-4039	88	3	research	research	NOUN
cana-4039	88	4	standardized	standardize	VERB
cana-4039	88	5	the	the	DET
cana-4039	88	6	u2u	u2u	ADJ
cana-4039	88	7	impact	impact	NOUN
cana-4039	88	8	model	model	NOUN
cana-4039	88	9	by	by	ADP
cana-4039	88	10	including	include	VERB
cana-4039	88	11	social	social	ADJ
cana-4039	88	12	,	,	PUNCT
cana-4039	88	13	geographic	geographic	ADJ
cana-4039	88	14	,	,	PUNCT
cana-4039	88	15	and	and	CCONJ
cana-4039	88	16	preference	preference	NOUN
cana-4039	88	17	-	-	PUNCT
cana-4039	88	18	based	base	VERB
cana-4039	88	19	similarities	similarity	NOUN
cana-4039	88	20	.	.	PUNCT
cana-4039	89	1	i	i	PRON
cana-4039	89	2	m	m	VERB
cana-4039	89	3	difficulties	difficulty	NOUN
cana-4039	89	4	are	be	AUX
cana-4039	89	5	thus	thus	ADV
cana-4039	89	6	simpler	simple	ADJ
cana-4039	89	7	to	to	PART
cana-4039	89	8	handle	handle	VERB
cana-4039	89	9	than	than	SCONJ
cana-4039	89	10	him	he	PRON
cana-4039	89	11	searches	search	NOUN
cana-4039	89	12	.	.	PUNCT
cana-4039	90	1	h.	h.	PROPN
cana-4039	90	2	li	li	PROPN
cana-4039	90	3	et	et	PROPN
cana-4039	90	4	al	al	PROPN
cana-4039	90	5	.	.	PROPN
cana-4039	90	6	introduced	introduce	VERB
cana-4039	90	7	conformity	conformity	NOUN
cana-4039	90	8	aware	aware	ADJ
cana-4039	90	9	social	social	ADJ
cana-4039	90	10	influence	influence	NOUN
cana-4039	90	11	computation	computation	NOUN
cana-4039	90	12	(	(	PUNCT
cana-4039	90	13	casino	casino	NOUN
cana-4039	90	14	)	)	PUNCT
cana-4039	90	15	,	,	PUNCT
cana-4039	90	16	a	a	DET
cana-4039	90	17	new	new	ADJ
cana-4039	90	18	social	social	ADJ
cana-4039	90	19	influence	influence	NOUN
cana-4039	90	20	computation	computation	NOUN
cana-4039	90	21	method	method	NOUN
cana-4039	90	22	.	.	PUNCT
cana-4039	91	1	a	a	DET
cana-4039	91	2	network	network	NOUN
cana-4039	91	3	calculates	calculate	VERB
cana-4039	91	4	positive	positive	ADJ
cana-4039	91	5	and	and	CCONJ
cana-4039	91	6	negative	negative	ADJ
cana-4039	91	7	interactions	interaction	NOUN
cana-4039	91	8	between	between	ADP
cana-4039	91	9	individuals	individual	NOUN
cana-4039	91	10	to	to	PART
cana-4039	91	11	decide	decide	VERB
cana-4039	91	12	the	the	DET
cana-4039	91	13	influence	influence	NOUN
cana-4039	91	14	and	and	CCONJ
cana-4039	91	15	conformity	conformity	NOUN
cana-4039	91	16	of	of	ADP
cana-4039	91	17	a	a	DET
cana-4039	91	18	node	node	NOUN
cana-4039	91	19	.	.	PUNCT
cana-4039	92	1	after	after	ADP
cana-4039	92	2	doing	do	VERB
cana-4039	92	3	extensive	extensive	ADJ
cana-4039	92	4	study	study	NOUN
cana-4039	92	5	across	across	ADP
cana-4039	92	6	several	several	ADJ
cana-4039	92	7	social	social	ADJ
cana-4039	92	8	media	medium	NOUN
cana-4039	92	9	networks	network	NOUN
cana-4039	92	10	,	,	PUNCT
cana-4039	92	11	concluded	conclude	VERB
cana-4039	92	12	communications	communication	NOUN
cana-4039	92	13	on	on	ADP
cana-4039	92	14	applied	apply	VERB
cana-4039	92	15	nonlinear	nonlinear	ADJ
cana-4039	92	16	analysis	analysis	NOUN
cana-4039	92	17	issn	issn	NOUN
cana-4039	92	18	:	:	PUNCT
cana-4039	92	19	1074	1074	NUM
cana-4039	92	20	-	-	PUNCT
cana-4039	92	21	133x	133x	NUM
cana-4039	92	22	vol	vol	NOUN
cana-4039	92	23	32	32	NUM
cana-4039	92	24	no	no	NOUN
cana-4039	92	25	.	.	PUNCT
cana-4039	93	1	9s	9s	NUM
cana-4039	93	2	(	(	PUNCT
cana-4039	93	3	2025	2025	NUM
cana-4039	93	4	)	)	PUNCT
cana-4039	93	5	913	913	NUM
cana-4039	93	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	93	7	that	that	SCONJ
cana-4039	93	8	casino	casino	NOUN
cana-4039	93	9	is	be	AUX
cana-4039	93	10	more	more	ADV
cana-4039	93	11	accurate	accurate	ADJ
cana-4039	93	12	and	and	CCONJ
cana-4039	93	13	efficient	efficient	ADJ
cana-4039	93	14	than	than	ADP
cana-4039	93	15	more	more	ADJ
cana-4039	93	16	modern	modern	ADJ
cana-4039	93	17	approaches	approach	NOUN
cana-4039	93	18	.	.	PUNCT
cana-4039	94	1	the	the	DET
cana-4039	94	2	study	study	NOUN
cana-4039	94	3	tells	tell	VERB
cana-4039	94	4	among	among	ADP
cana-4039	94	5	other	other	ADJ
cana-4039	94	6	things	thing	NOUN
cana-4039	94	7	,	,	PUNCT
cana-4039	94	8	how	how	SCONJ
cana-4039	94	9	important	important	ADJ
cana-4039	94	10	it	it	PRON
cana-4039	94	11	is	be	AUX
cana-4039	94	12	to	to	PART
cana-4039	94	13	understand	understand	VERB
cana-4039	94	14	people	people	NOUN
cana-4039	94	15	's	's	PART
cana-4039	94	16	levels	level	NOUN
cana-4039	94	17	of	of	ADP
cana-4039	94	18	compliance	compliance	NOUN
cana-4039	94	19	in	in	ADP
cana-4039	94	20	order	order	NOUN
cana-4039	94	21	to	to	PART
cana-4039	94	22	conduct	conduct	VERB
cana-4039	94	23	reliable	reliable	ADJ
cana-4039	94	24	social	social	ADJ
cana-4039	94	25	impact	impact	NOUN
cana-4039	94	26	studies	study	NOUN
cana-4039	94	27	.	.	PUNCT
cana-4039	95	1	a.	a.	NOUN
cana-4039	95	2	z.	z.	PROPN
cana-4039	95	3	ala'm	ala'm	NOUN
cana-4039	95	4	et	et	PROPN
cana-4039	95	5	al	al	PROPN
cana-4039	95	6	.	.	PROPN
cana-4039	95	7	proposed	propose	VERB
cana-4039	95	8	a	a	DET
cana-4039	95	9	system	system	NOUN
cana-4039	95	10	for	for	ADP
cana-4039	95	11	detecting	detect	VERB
cana-4039	95	12	spammer	spammer	NOUN
cana-4039	95	13	based	base	VERB
cana-4039	95	14	on	on	ADP
cana-4039	95	15	machine	machine	NOUN
cana-4039	95	16	learning	learning	NOUN
cana-4039	95	17	for	for	ADP
cana-4039	95	18	online	online	ADJ
cana-4039	95	19	social	social	ADJ
cana-4039	95	20	networks	network	NOUN
cana-4039	95	21	(	(	PUNCT
cana-4039	95	22	wao	wao	INTJ
cana-4039	95	23	)	)	PUNCT
cana-4039	95	24	that	that	PRON
cana-4039	95	25	blends	blend	VERB
cana-4039	95	26	existing	exist	VERB
cana-4039	95	27	metaheuristics	metaheuristic	NOUN
cana-4039	95	28	and	and	CCONJ
cana-4039	95	29	support	support	VERB
cana-4039	95	30	vector	vector	NOUN
cana-4039	95	31	machines	machine	NOUN
cana-4039	95	32	(	(	PUNCT
cana-4039	95	33	svm	svm	PROPN
cana-4039	95	34	)	)	PUNCT
cana-4039	95	35	.	.	PUNCT
cana-4039	96	1	when	when	SCONJ
cana-4039	96	2	applied	apply	VERB
cana-4039	96	3	to	to	ADP
cana-4039	96	4	the	the	DET
cana-4039	96	5	detection	detection	NOUN
cana-4039	96	6	process	process	NOUN
cana-4039	96	7	,	,	PUNCT
cana-4039	96	8	the	the	DET
cana-4039	96	9	recommended	recommend	VERB
cana-4039	96	10	technology	technology	NOUN
cana-4039	96	11	automatically	automatically	ADV
cana-4039	96	12	identifies	identify	VERB
cana-4039	96	13	spammers	spammer	NOUN
cana-4039	96	14	and	and	CCONJ
cana-4039	96	15	emphasizes	emphasize	VERB
cana-4039	96	16	the	the	DET
cana-4039	96	17	most	most	ADV
cana-4039	96	18	important	important	ADJ
cana-4039	96	19	information	information	NOUN
cana-4039	96	20	.	.	PUNCT
cana-4039	97	1	besides	besides	SCONJ
cana-4039	97	2	the	the	DET
cana-4039	97	3	four	four	NUM
cana-4039	97	4	language	language	NOUN
cana-4039	97	5	data	data	NOUN
cana-4039	97	6	sets	set	NOUN
cana-4039	97	7	harvested	harvest	VERB
cana-4039	97	8	from	from	ADP
cana-4039	97	9	twitter	twitter	NOUN
cana-4039	97	10	,	,	PUNCT
cana-4039	97	11	i.e.	i.e.	X
cana-4039	97	12	,	,	PUNCT
cana-4039	97	13	arabic	arabic	ADJ
cana-4039	97	14	,	,	PUNCT
cana-4039	97	15	english	english	PROPN
cana-4039	97	16	,	,	PUNCT
cana-4039	97	17	spanish	spanish	ADJ
cana-4039	97	18	,	,	PUNCT
cana-4039	97	19	and	and	CCONJ
cana-4039	97	20	korean	korean	ADJ
cana-4039	97	21	,	,	PUNCT
cana-4039	97	22	used	use	VERB
cana-4039	97	23	to	to	PART
cana-4039	97	24	gauge	gauge	VERB
cana-4039	97	25	the	the	DET
cana-4039	97	26	performance	performance	NOUN
cana-4039	97	27	of	of	ADP
cana-4039	97	28	the	the	DET
cana-4039	97	29	model	model	NOUN
cana-4039	97	30	,	,	PUNCT
cana-4039	97	31	experiments	experiment	NOUN
cana-4039	97	32	and	and	CCONJ
cana-4039	97	33	results	result	NOUN
cana-4039	97	34	show	show	VERB
cana-4039	97	35	that	that	SCONJ
cana-4039	97	36	the	the	DET
cana-4039	97	37	model	model	NOUN
cana-4039	97	38	introduced	introduce	VERB
cana-4039	97	39	in	in	ADP
cana-4039	97	40	this	this	DET
cana-4039	97	41	paper	paper	NOUN
cana-4039	97	42	performs	perform	VERB
cana-4039	97	43	better	well	ADJ
cana-4039	97	44	than	than	ADP
cana-4039	97	45	a	a	DET
cana-4039	97	46	range	range	NOUN
cana-4039	97	47	of	of	ADP
cana-4039	97	48	other	other	ADJ
cana-4039	97	49	algorithms	algorithm	NOUN
cana-4039	97	50	in	in	ADP
cana-4039	97	51	accuracy	accuracy	NOUN
cana-4039	97	52	.	.	PUNCT
cana-4039	98	1	2.1	2.1	NUM
cana-4039	98	2	problem	problem	NOUN
cana-4039	98	3	definition	definition	NOUN
cana-4039	98	4	the	the	DET
cana-4039	98	5	research	research	NOUN
cana-4039	98	6	investigates	investigate	VERB
cana-4039	98	7	how	how	SCONJ
cana-4039	98	8	many	many	ADJ
cana-4039	98	9	ml	ml	NOUN
cana-4039	98	10	algorithms	algorithm	NOUN
cana-4039	98	11	have	have	AUX
cana-4039	98	12	been	be	AUX
cana-4039	98	13	combined	combine	VERB
cana-4039	98	14	using	use	VERB
cana-4039	98	15	a	a	DET
cana-4039	98	16	fusion	fusion	NOUN
cana-4039	98	17	strategy	strategy	NOUN
cana-4039	98	18	to	to	PART
cana-4039	98	19	address	address	VERB
cana-4039	98	20	classification	classification	NOUN
cana-4039	98	21	problems	problem	NOUN
cana-4039	98	22	.	.	PUNCT
cana-4039	99	1	given	give	VERB
cana-4039	99	2	the	the	DET
cana-4039	99	3	multitude	multitude	NOUN
cana-4039	99	4	of	of	ADP
cana-4039	99	5	categorization	categorization	NOUN
cana-4039	99	6	methods	method	NOUN
cana-4039	99	7	available	available	ADJ
cana-4039	99	8	,	,	PUNCT
cana-4039	99	9	each	each	PRON
cana-4039	99	10	altered	alter	VERB
cana-4039	99	11	to	to	ADP
cana-4039	99	12	a	a	DET
cana-4039	99	13	certain	certain	ADJ
cana-4039	99	14	kind	kind	NOUN
cana-4039	99	15	of	of	ADP
cana-4039	99	16	data	datum	NOUN
cana-4039	99	17	or	or	CCONJ
cana-4039	99	18	topic	topic	NOUN
cana-4039	99	19	,	,	PUNCT
cana-4039	99	20	a	a	DET
cana-4039	99	21	comprehensive	comprehensive	ADJ
cana-4039	99	22	evaluation	evaluation	NOUN
cana-4039	99	23	of	of	ADP
cana-4039	99	24	different	different	ADJ
cana-4039	99	25	approaches	approach	NOUN
cana-4039	99	26	is	be	AUX
cana-4039	99	27	essential	essential	ADJ
cana-4039	99	28	.	.	PUNCT
cana-4039	100	1	the	the	DET
cana-4039	100	2	major	major	ADJ
cana-4039	100	3	challenge	challenge	NOUN
cana-4039	100	4	is	be	AUX
cana-4039	100	5	to	to	PART
cana-4039	100	6	optimize	optimize	VERB
cana-4039	100	7	classification	classification	NOUN
cana-4039	100	8	performance	performance	NOUN
cana-4039	100	9	using	use	VERB
cana-4039	100	10	a	a	DET
cana-4039	100	11	fusion	fusion	NOUN
cana-4039	100	12	ml	ml	NOUN
cana-4039	100	13	approach	approach	NOUN
cana-4039	100	14	.	.	PUNCT
cana-4039	101	1	ensemble	ensemble	ADJ
cana-4039	101	2	techniques	technique	NOUN
cana-4039	101	3	such	such	ADJ
cana-4039	101	4	as	as	ADP
cana-4039	101	5	voting	voting	NOUN
cana-4039	101	6	,	,	PUNCT
cana-4039	101	7	stacking	stacking	NOUN
cana-4039	101	8	,	,	PUNCT
cana-4039	101	9	and	and	CCONJ
cana-4039	101	10	weighted	weight	VERB
cana-4039	101	11	average	average	NOUN
cana-4039	101	12	are	be	AUX
cana-4039	101	13	often	often	ADV
cana-4039	101	14	used	use	VERB
cana-4039	101	15	to	to	PART
cana-4039	101	16	combine	combine	VERB
cana-4039	101	17	many	many	ADJ
cana-4039	101	18	classifier	classifier	NOUN
cana-4039	101	19	predictions	prediction	NOUN
cana-4039	101	20	.	.	PUNCT
cana-4039	102	1	the	the	DET
cana-4039	102	2	fundamental	fundamental	ADJ
cana-4039	102	3	challenge	challenge	NOUN
cana-4039	102	4	in	in	ADP
cana-4039	102	5	producing	produce	VERB
cana-4039	102	6	a	a	DET
cana-4039	102	7	more	more	ADV
cana-4039	102	8	powerful	powerful	ADJ
cana-4039	102	9	and	and	CCONJ
cana-4039	102	10	accurate	accurate	ADJ
cana-4039	102	11	classification	classification	NOUN
cana-4039	102	12	result	result	NOUN
cana-4039	102	13	is	be	AUX
cana-4039	102	14	to	to	PART
cana-4039	102	15	maximize	maximize	VERB
cana-4039	102	16	the	the	DET
cana-4039	102	17	strengths	strength	NOUN
cana-4039	102	18	of	of	ADP
cana-4039	102	19	each	each	DET
cana-4039	102	20	technique	technique	NOUN
cana-4039	102	21	while	while	SCONJ
cana-4039	102	22	minimizing	minimize	VERB
cana-4039	102	23	their	their	PRON
cana-4039	102	24	weaknesses	weakness	NOUN
cana-4039	102	25	.	.	PUNCT
cana-4039	103	1	iii	iii	X
cana-4039	103	2	.	.	PUNCT
cana-4039	104	1	materials	material	NOUN
cana-4039	104	2	and	and	CCONJ
cana-4039	104	3	methods	method	NOUN
cana-4039	104	4	using	use	VERB
cana-4039	104	5	multi	multi	ADJ
cana-4039	104	6	-	-	ADJ
cana-4039	104	7	source	source	NOUN
cana-4039	104	8	data	datum	NOUN
cana-4039	104	9	and	and	CCONJ
cana-4039	104	10	machine	machine	NOUN
cana-4039	104	11	learning	learning	NOUN
cana-4039	104	12	,	,	PUNCT
cana-4039	104	13	figure	figure	VERB
cana-4039	104	14	1	1	NUM
cana-4039	104	15	presents	present	VERB
cana-4039	104	16	a	a	DET
cana-4039	104	17	categorization	categorization	NOUN
cana-4039	104	18	method	method	NOUN
cana-4039	104	19	for	for	ADP
cana-4039	104	20	targeted	target	VERB
cana-4039	104	21	research	research	NOUN
cana-4039	104	22	.	.	PUNCT
cana-4039	105	1	important	important	ADJ
cana-4039	105	2	in	in	ADP
cana-4039	105	3	this	this	DET
cana-4039	105	4	system	system	NOUN
cana-4039	105	5	are	be	AUX
cana-4039	105	6	social	social	ADJ
cana-4039	105	7	media	medium	NOUN
cana-4039	105	8	sites	site	NOUN
cana-4039	105	9	such	such	ADJ
cana-4039	105	10	facebook	facebook	PROPN
cana-4039	105	11	,	,	PUNCT
cana-4039	105	12	instagram	instagram	PROPN
cana-4039	105	13	,	,	PUNCT
cana-4039	105	14	and	and	CCONJ
cana-4039	105	15	youtube	youtube	NOUN
cana-4039	105	16	.	.	PUNCT
cana-4039	106	1	before	before	ADP
cana-4039	106	2	identification	identification	NOUN
cana-4039	106	3	and	and	CCONJ
cana-4039	106	4	assessment	assessment	NOUN
cana-4039	106	5	,	,	PUNCT
cana-4039	106	6	the	the	DET
cana-4039	106	7	data	data	NOUN
cana-4039	106	8	is	be	AUX
cana-4039	106	9	painstakingly	painstakingly	ADV
cana-4039	106	10	processed	process	VERB
cana-4039	106	11	.	.	PUNCT
cana-4039	107	1	machine	machine	NOUN
cana-4039	107	2	learning	learning	NOUN
cana-4039	107	3	methods	method	NOUN
cana-4039	107	4	include	include	VERB
cana-4039	107	5	linear	linear	PROPN
cana-4039	107	6	classifiers	classifier	NOUN
cana-4039	107	7	,	,	PUNCT
cana-4039	107	8	nonlinear	nonlinear	ADJ
cana-4039	107	9	classifiers	classifier	NOUN
cana-4039	107	10	,	,	PUNCT
cana-4039	107	11	and	and	CCONJ
cana-4039	107	12	statistical	statistical	ADJ
cana-4039	107	13	models	model	NOUN
cana-4039	107	14	are	be	AUX
cana-4039	107	15	used	use	VERB
cana-4039	107	16	when	when	SCONJ
cana-4039	107	17	data	datum	NOUN
cana-4039	107	18	point	point	VERB
cana-4039	107	19	analysis	analysis	NOUN
cana-4039	107	20	and	and	CCONJ
cana-4039	107	21	grouping	grouping	NOUN
cana-4039	107	22	calls	call	NOUN
cana-4039	107	23	for	for	ADP
cana-4039	107	24	.	.	PUNCT
cana-4039	108	1	finally	finally	ADV
cana-4039	108	2	,	,	PUNCT
cana-4039	108	3	a	a	DET
cana-4039	108	4	fusion	fusion	NOUN
cana-4039	108	5	process	process	NOUN
cana-4039	108	6	generates	generate	VERB
cana-4039	108	7	a	a	DET
cana-4039	108	8	robust	robust	ADJ
cana-4039	108	9	and	and	CCONJ
cana-4039	108	10	complete	complete	ADJ
cana-4039	108	11	classification	classification	NOUN
cana-4039	108	12	model	model	NOUN
cana-4039	108	13	by	by	ADP
cana-4039	108	14	aggregating	aggregate	VERB
cana-4039	108	15	the	the	DET
cana-4039	108	16	results	result	NOUN
cana-4039	108	17	of	of	ADP
cana-4039	108	18	many	many	ADJ
cana-4039	108	19	classification	classification	NOUN
cana-4039	108	20	techniques	technique	NOUN
cana-4039	108	21	.	.	PUNCT
cana-4039	109	1	this	this	DET
cana-4039	109	2	technique	technique	NOUN
cana-4039	109	3	have	have	AUX
cana-4039	109	4	uses	use	NOUN
cana-4039	109	5	in	in	ADP
cana-4039	109	6	personalised	personalise	VERB
cana-4039	109	7	content	content	NOUN
cana-4039	109	8	distribution	distribution	NOUN
cana-4039	109	9	,	,	PUNCT
cana-4039	109	10	user	user	NOUN
cana-4039	109	11	behaviour	behaviour	NOUN
cana-4039	109	12	prediction	prediction	NOUN
cana-4039	109	13	,	,	PUNCT
cana-4039	109	14	and	and	CCONJ
cana-4039	109	15	social	social	ADJ
cana-4039	109	16	media	medium	NOUN
cana-4039	109	17	analytics	analytic	NOUN
cana-4039	109	18	.	.	PUNCT
cana-4039	110	1	enhancing	enhance	VERB
cana-4039	110	2	the	the	DET
cana-4039	110	3	social	social	ADJ
cana-4039	110	4	media	medium	NOUN
cana-4039	110	5	impact	impact	NOUN
cana-4039	110	6	utilising	utilise	VERB
cana-4039	110	7	experimental	experimental	ADJ
cana-4039	110	8	techniques	technique	NOUN
cana-4039	110	9	like	like	ADP
cana-4039	110	10	svm	svm	PROPN
cana-4039	110	11	,	,	PUNCT
cana-4039	110	12	lr	lr	NOUN
cana-4039	110	13	,	,	PUNCT
cana-4039	110	14	rf	rf	NOUN
cana-4039	110	15	,	,	PUNCT
cana-4039	110	16	and	and	CCONJ
cana-4039	110	17	gnb	gnb	PROPN
cana-4039	110	18	depends	depend	VERB
cana-4039	110	19	critically	critically	ADV
cana-4039	110	20	on	on	ADP
cana-4039	110	21	data	datum	NOUN
cana-4039	110	22	collecting	collecting	NOUN
cana-4039	110	23	,	,	PUNCT
cana-4039	110	24	feature	feature	NOUN
cana-4039	110	25	selection	selection	NOUN
cana-4039	110	26	,	,	PUNCT
cana-4039	110	27	parameter	parameter	NOUN
cana-4039	110	28	tuning	tuning	NOUN
cana-4039	110	29	,	,	PUNCT
cana-4039	110	30	and	and	CCONJ
cana-4039	110	31	model	model	NOUN
cana-4039	110	32	testing	testing	NOUN
cana-4039	110	33	.	.	PUNCT
cana-4039	111	1	included	include	VERB
cana-4039	111	2	in	in	ADP
cana-4039	111	3	it	it	PRON
cana-4039	111	4	are	be	AUX
cana-4039	111	5	all	all	DET
cana-4039	111	6	the	the	DET
cana-4039	111	7	following	following	NOUN
cana-4039	111	8	:	:	PUNCT
cana-4039	111	9	real	real	ADJ
cana-4039	111	10	hyper	hyper	NOUN
cana-4039	111	11	-	-	NOUN
cana-4039	111	12	parameters	parameter	NOUN
cana-4039	111	13	,	,	PUNCT
cana-4039	111	14	approaches	approach	NOUN
cana-4039	111	15	of	of	ADP
cana-4039	111	16	instruction	instruction	NOUN
cana-4039	111	17	,	,	PUNCT
cana-4039	111	18	and	and	CCONJ
cana-4039	111	19	assessment	assessment	NOUN
cana-4039	111	20	criteria	criterion	NOUN
cana-4039	111	21	.	.	PUNCT
cana-4039	112	1	sharing	share	VERB
cana-4039	112	2	scripts	script	NOUN
cana-4039	112	3	,	,	PUNCT
cana-4039	112	4	data	datum	NOUN
cana-4039	112	5	,	,	PUNCT
cana-4039	112	6	and	and	CCONJ
cana-4039	112	7	execution	execution	NOUN
cana-4039	112	8	instructions	instruction	NOUN
cana-4039	112	9	assist	assist	VERB
cana-4039	112	10	to	to	PART
cana-4039	112	11	ease	ease	VERB
cana-4039	112	12	replication	replication	NOUN
cana-4039	112	13	.	.	PUNCT
cana-4039	113	1	being	be	AUX
cana-4039	113	2	open	open	ADJ
cana-4039	113	3	not	not	PART
cana-4039	113	4	only	only	ADV
cana-4039	113	5	helps	help	VERB
cana-4039	113	6	other	other	ADJ
cana-4039	113	7	researchers	researcher	NOUN
cana-4039	113	8	confirm	confirm	VERB
cana-4039	113	9	the	the	DET
cana-4039	113	10	findings	finding	NOUN
cana-4039	113	11	but	but	CCONJ
cana-4039	113	12	also	also	ADV
cana-4039	113	13	makes	make	VERB
cana-4039	113	14	it	it	PRON
cana-4039	113	15	simple	simple	ADJ
cana-4039	113	16	to	to	PART
cana-4039	113	17	update	update	VERB
cana-4039	113	18	and	and	CCONJ
cana-4039	113	19	enhance	enhance	VERB
cana-4039	113	20	the	the	DET
cana-4039	113	21	research	research	NOUN
cana-4039	113	22	on	on	ADP
cana-4039	113	23	social	social	ADJ
cana-4039	113	24	media	medium	NOUN
cana-4039	113	25	impact	impact	NOUN
cana-4039	113	26	maximisation	maximisation	NOUN
cana-4039	113	27	.	.	PUNCT
cana-4039	114	1	fig	fig	NOUN
cana-4039	114	2	.	.	PUNCT
cana-4039	115	1	1	1	NUM
cana-4039	115	2	:	:	PUNCT
cana-4039	115	3	workflow	workflow	NOUN
cana-4039	115	4	of	of	ADP
cana-4039	115	5	the	the	DET
cana-4039	115	6	model	model	NOUN
cana-4039	115	7	communications	communication	NOUN
cana-4039	115	8	on	on	ADP
cana-4039	115	9	applied	apply	VERB
cana-4039	115	10	nonlinear	nonlinear	ADJ
cana-4039	115	11	analysis	analysis	NOUN
cana-4039	115	12	issn	issn	NOUN
cana-4039	115	13	:	:	PUNCT
cana-4039	115	14	1074	1074	NUM
cana-4039	115	15	-	-	PUNCT
cana-4039	115	16	133x	133x	NUM
cana-4039	115	17	vol	vol	NOUN
cana-4039	115	18	32	32	NUM
cana-4039	115	19	no	no	NOUN
cana-4039	115	20	.	.	PUNCT
cana-4039	116	1	9s	9s	NUM
cana-4039	116	2	(	(	PUNCT
cana-4039	116	3	2025	2025	NUM
cana-4039	116	4	)	)	PUNCT
cana-4039	116	5	914	914	NUM
cana-4039	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	116	7	3.1	3.1	NUM
cana-4039	116	8	dataset	dataset	NOUN
cana-4039	116	9	acquisition	acquisition	NOUN
cana-4039	116	10	in	in	ADP
cana-4039	116	11	this	this	DET
cana-4039	116	12	study	study	NOUN
cana-4039	116	13	,	,	PUNCT
cana-4039	116	14	statistical	statistical	ADJ
cana-4039	116	15	information	information	NOUN
cana-4039	116	16	are	be	AUX
cana-4039	116	17	accessed	access	VERB
cana-4039	116	18	from	from	ADP
cana-4039	116	19	facebook	facebook	PROPN
cana-4039	116	20	,	,	PUNCT
cana-4039	116	21	instagram	instagram	PROPN
cana-4039	116	22	,	,	PUNCT
cana-4039	116	23	and	and	CCONJ
cana-4039	116	24	youtube	youtube	NOUN
cana-4039	116	25	.	.	PUNCT
cana-4039	117	1	if	if	SCONJ
cana-4039	117	2	wished	wish	VERB
cana-4039	117	3	to	to	PART
cana-4039	117	4	analyse	analyse	VERB
cana-4039	117	5	facebook	facebook	NOUN
cana-4039	117	6	trends	trend	NOUN
cana-4039	117	7	in	in	ADP
cana-4039	117	8	content	content	NOUN
cana-4039	117	9	,	,	PUNCT
cana-4039	117	10	user	user	NOUN
cana-4039	117	11	interactions	interaction	NOUN
cana-4039	117	12	,	,	PUNCT
cana-4039	117	13	and	and	CCONJ
cana-4039	117	14	behaviour	behaviour	NOUN
cana-4039	117	15	,	,	PUNCT
cana-4039	117	16	utilised	utilise	VERB
cana-4039	117	17	the	the	DET
cana-4039	117	18	facebook	facebook	NOUN
cana-4039	117	19	dataset	dataset	NOUN
cana-4039	117	20	that	that	PRON
cana-4039	117	21	is	be	AUX
cana-4039	117	22	accessible	accessible	ADJ
cana-4039	117	23	on	on	ADP
cana-4039	117	24	kaggle	kaggle	NOUN
cana-4039	117	25	.	.	PUNCT
cana-4039	118	1	it	it	PRON
cana-4039	118	2	provides	provide	VERB
cana-4039	118	3	a	a	DET
cana-4039	118	4	complete	complete	ADJ
cana-4039	118	5	overview	overview	NOUN
cana-4039	118	6	of	of	ADP
cana-4039	118	7	several	several	ADJ
cana-4039	118	8	areas	area	NOUN
cana-4039	118	9	of	of	ADP
cana-4039	118	10	facebook	facebook	PROPN
cana-4039	118	11	data	data	PROPN
cana-4039	118	12	.	.	PUNCT
cana-4039	119	1	facebook	facebook	NOUN
cana-4039	119	2	:	:	PUNCT
cana-4039	120	1	https://www.kaggle.com/datasets/sheenabatra/facebook-data	https://www.kaggle.com/datasets/sheenabatra/facebook-data	PROPN
cana-4039	120	2	instagram	instagram	PROPN
cana-4039	120	3	:	:	PUNCT
cana-4039	120	4	https://www.kaggle.com/datasets/krpurba/im-instagram-70k	https://www.kaggle.com/datasets/krpurba/im-instagram-70k	PROPN
cana-4039	120	5	youtube	youtube	NOUN
cana-4039	120	6	:	:	PUNCT
cana-4039	120	7	https://www.kaggle.com/datasets/kathir1k/youtube-influencers-data	https://www.kaggle.com/datasets/kathir1k/youtube-influencers-data	PROPN
cana-4039	120	8	3.2	3.2	NUM
cana-4039	120	9	dataset	dataset	NOUN
cana-4039	120	10	preparation	preparation	NOUN
cana-4039	120	11	raw	raw	ADJ
cana-4039	120	12	data	data	NOUN
cana-4039	120	13	conversion	conversion	NOUN
cana-4039	120	14	and	and	CCONJ
cana-4039	120	15	cleaning	cleaning	NOUN
cana-4039	120	16	is	be	AUX
cana-4039	120	17	required	require	VERB
cana-4039	120	18	while	while	SCONJ
cana-4039	120	19	getting	get	VERB
cana-4039	120	20	a	a	DET
cana-4039	120	21	dataset	dataset	NOUN
cana-4039	120	22	ready	ready	ADJ
cana-4039	120	23	for	for	ADP
cana-4039	120	24	machine	machine	NOUN
cana-4039	120	25	learning	learning	NOUN
cana-4039	120	26	.	.	PUNCT
cana-4039	121	1	this	this	DET
cana-4039	121	2	process	process	NOUN
cana-4039	121	3	includes	include	VERB
cana-4039	121	4	importing	import	VERB
cana-4039	121	5	the	the	DET
cana-4039	121	6	dataset	dataset	NOUN
cana-4039	121	7	into	into	ADP
cana-4039	121	8	the	the	DET
cana-4039	121	9	development	development	NOUN
cana-4039	121	10	environment	environment	NOUN
cana-4039	121	11	.	.	PUNCT
cana-4039	122	1	patterns	pattern	NOUN
cana-4039	122	2	and	and	CCONJ
cana-4039	122	3	abnormalities	abnormality	NOUN
cana-4039	122	4	are	be	AUX
cana-4039	122	5	uncovered	uncover	VERB
cana-4039	122	6	via	via	ADP
cana-4039	122	7	exploratory	exploratory	ADJ
cana-4039	122	8	data	datum	NOUN
cana-4039	122	9	analysis	analysis	NOUN
cana-4039	122	10	.	.	PUNCT
cana-4039	123	1	every	every	DET
cana-4039	123	2	error	error	NOUN
cana-4039	123	3	and	and	CCONJ
cana-4039	123	4	inconsistency	inconsistency	NOUN
cana-4039	123	5	is	be	AUX
cana-4039	123	6	corrected	correct	VERB
cana-4039	123	7	.	.	PUNCT
cana-4039	124	1	numerical	numerical	PROPN
cana-4039	124	2	data	data	PROPN
cana-4039	124	3	points	point	NOUN
cana-4039	124	4	are	be	AUX
cana-4039	124	5	either	either	ADV
cana-4039	124	6	scaled	scale	VERB
cana-4039	124	7	or	or	CCONJ
cana-4039	124	8	normalised	normalise	VERB
cana-4039	124	9	.	.	PUNCT
cana-4039	125	1	class	class	NOUN
cana-4039	125	2	discrepancies	discrepancy	NOUN
cana-4039	125	3	are	be	AUX
cana-4039	125	4	addressed	address	VERB
cana-4039	125	5	.	.	PUNCT
cana-4039	126	1	the	the	DET
cana-4039	126	2	dataset	dataset	NOUN
cana-4039	126	3	is	be	AUX
cana-4039	126	4	divided	divide	VERB
cana-4039	126	5	into	into	ADP
cana-4039	126	6	two	two	NUM
cana-4039	126	7	halves	half	NOUN
cana-4039	126	8	:	:	PUNCT
cana-4039	126	9	one	one	NUM
cana-4039	126	10	for	for	ADP
cana-4039	126	11	testing	testing	NOUN
cana-4039	126	12	and	and	CCONJ
cana-4039	126	13	the	the	DET
cana-4039	126	14	other	other	ADJ
cana-4039	126	15	for	for	ADP
cana-4039	126	16	training	training	NOUN
cana-4039	126	17	.	.	PUNCT
cana-4039	127	1	building	build	VERB
cana-4039	127	2	a	a	DET
cana-4039	127	3	fair	fair	ADJ
cana-4039	127	4	,	,	PUNCT
cana-4039	127	5	adequate	adequate	ADJ
cana-4039	127	6	,	,	PUNCT
cana-4039	127	7	and	and	CCONJ
cana-4039	127	8	organised	organise	VERB
cana-4039	127	9	dataset	dataset	NOUN
cana-4039	127	10	for	for	ADP
cana-4039	127	11	ml	ml	NOUN
cana-4039	127	12	model	model	NOUN
cana-4039	127	13	training	training	NOUN
cana-4039	127	14	and	and	CCONJ
cana-4039	127	15	assessment	assessment	NOUN
cana-4039	127	16	has	have	AUX
cana-4039	127	17	assisted	assist	VERB
cana-4039	127	18	to	to	PART
cana-4039	127	19	enhance	enhance	VERB
cana-4039	127	20	classification	classification	NOUN
cana-4039	127	21	performance	performance	NOUN
cana-4039	127	22	in	in	ADP
cana-4039	127	23	the	the	DET
cana-4039	127	24	long	long	ADJ
cana-4039	127	25	run	run	NOUN
cana-4039	127	26	.	.	PUNCT
cana-4039	128	1	by	by	ADP
cana-4039	128	2	meticulously	meticulously	ADV
cana-4039	128	3	documenting	document	VERB
cana-4039	128	4	these	these	DET
cana-4039	128	5	methods	method	NOUN
cana-4039	128	6	,	,	PUNCT
cana-4039	128	7	one	one	PRON
cana-4039	128	8	ensures	ensure	VERB
cana-4039	128	9	that	that	SCONJ
cana-4039	128	10	the	the	DET
cana-4039	128	11	research	research	NOUN
cana-4039	128	12	technique	technique	NOUN
cana-4039	128	13	is	be	AUX
cana-4039	128	14	open	open	ADJ
cana-4039	128	15	and	and	CCONJ
cana-4039	128	16	repeatable	repeatable	ADJ
cana-4039	128	17	.	.	PUNCT
cana-4039	129	1	3.3	3.3	NUM
cana-4039	129	2	utilization	utilization	NOUN
cana-4039	129	3	of	of	ADP
cana-4039	129	4	svm	svm	PROPN
cana-4039	129	5	,	,	PUNCT
cana-4039	129	6	lr	lr	PROPN
cana-4039	129	7	,	,	PUNCT
cana-4039	129	8	gnb	gnb	PROPN
cana-4039	129	9	,	,	PUNCT
cana-4039	129	10	rf	rf	VERB
cana-4039	129	11	for	for	ADP
cana-4039	129	12	classification	classification	NOUN
cana-4039	129	13	3.3.1	3.3.1	NUM
cana-4039	129	14	svm	svm	NOUN
cana-4039	129	15	this	this	DET
cana-4039	129	16	study	study	NOUN
cana-4039	129	17	classifies	classify	VERB
cana-4039	129	18	and	and	CCONJ
cana-4039	129	19	predicts	predict	VERB
cana-4039	129	20	the	the	DET
cana-4039	129	21	dataset	dataset	NOUN
cana-4039	129	22	with	with	ADP
cana-4039	129	23	svms	svms	NOUN
cana-4039	129	24	.	.	PUNCT
cana-4039	130	1	using	use	VERB
cana-4039	130	2	svms	svms	NOUN
cana-4039	130	3	to	to	PART
cana-4039	130	4	investigate	investigate	VERB
cana-4039	130	5	data	datum	NOUN
cana-4039	130	6	for	for	ADP
cana-4039	130	7	evident	evident	ADJ
cana-4039	130	8	or	or	CCONJ
cana-4039	130	9	hidden	hidden	ADJ
cana-4039	130	10	patterns	pattern	NOUN
cana-4039	130	11	,	,	PUNCT
cana-4039	130	12	supervised	supervise	VERB
cana-4039	130	13	learning	learn	VERB
cana-4039	130	14	addresses	address	NOUN
cana-4039	130	15	regression	regression	VERB
cana-4039	130	16	and	and	CCONJ
cana-4039	130	17	classification	classification	NOUN
cana-4039	130	18	issues	issue	NOUN
cana-4039	130	19	.	.	PUNCT
cana-4039	131	1	self	self	NOUN
cana-4039	131	2	-	-	PUNCT
cana-4039	131	3	vector	vector	NOUN
cana-4039	131	4	machines	machine	NOUN
cana-4039	131	5	(	(	PUNCT
cana-4039	131	6	svms	svms	NOUN
cana-4039	131	7	)	)	PUNCT
cana-4039	131	8	has	have	AUX
cana-4039	131	9	solved	solve	VERB
cana-4039	131	10	both	both	CCONJ
cana-4039	131	11	linear	linear	ADJ
cana-4039	131	12	and	and	CCONJ
cana-4039	131	13	nonlinear	nonlinear	ADJ
cana-4039	131	14	classification	classification	NOUN
cana-4039	131	15	problems	problem	NOUN
cana-4039	131	16	.	.	PUNCT
cana-4039	132	1	following	follow	VERB
cana-4039	132	2	linear	linear	ADJ
cana-4039	132	3	partition	partition	NOUN
cana-4039	132	4	of	of	ADP
cana-4039	132	5	the	the	DET
cana-4039	132	6	training	training	NOUN
cana-4039	132	7	datasets	dataset	NOUN
cana-4039	132	8	into	into	ADP
cana-4039	132	9	a	a	DET
cana-4039	132	10	new	new	ADJ
cana-4039	132	11	dimensional	dimensional	ADJ
cana-4039	132	12	space	space	NOUN
cana-4039	132	13	,	,	PUNCT
cana-4039	132	14	support	support	VERB
cana-4039	132	15	vector	vector	NOUN
cana-4039	132	16	machines	machine	NOUN
cana-4039	132	17	(	(	PUNCT
cana-4039	132	18	svms	svms	NOUN
cana-4039	132	19	)	)	PUNCT
cana-4039	132	20	recognise	recognise	VERB
cana-4039	132	21	every	every	DET
cana-4039	132	22	occurrence	occurrence	NOUN
cana-4039	132	23	of	of	ADP
cana-4039	132	24	previously	previously	ADV
cana-4039	132	25	stated	state	VERB
cana-4039	132	26	categories	category	NOUN
cana-4039	132	27	(	(	PUNCT
cana-4039	132	28	ala'm	ala'm	NOUN
cana-4039	132	29	,	,	PUNCT
cana-4039	132	30	a.	a.	NOUN
cana-4039	132	31	z	z	PROPN
cana-4039	132	32	,	,	PUNCT
cana-4039	132	33	et	et	PROPN
cana-4039	132	34	al	al	PROPN
cana-4039	132	35	.	.	PROPN
cana-4039	132	36	)	)	PUNCT
cana-4039	132	37	.	.	PUNCT
cana-4039	133	1	𝑐𝑇	𝑐𝑇	NOUN
cana-4039	133	2	�	�	NOUN
cana-4039	133	3	⃗	⃗	PART
cana-4039	133	4	�	�	PROPN
cana-4039	133	5	+	+	CCONJ
cana-4039	133	6	𝑏	𝑏	NOUN
cana-4039	133	7	=	=	SYM
cana-4039	133	8	0	0	NUM
cana-4039	133	9	,	,	PUNCT
cana-4039	133	10	𝑝𝑖(𝑐𝑇	𝑝𝑖(𝑐𝑇	PROPN
cana-4039	133	11	�	�	PROPN
cana-4039	133	12	⃗	⃗	NOUN
cana-4039	133	13	�	�	PROPN
cana-4039	133	14	𝑖	𝑖	SYM
cana-4039	133	15	−	−	PROPN
cana-4039	133	16	𝑏	𝑏	NOUN
cana-4039	133	17	)	)	PUNCT
cana-4039	133	18	≥	≥	NOUN
cana-4039	133	19	1	1	NUM
cana-4039	133	20	--------(1	--------(1	NOUN
cana-4039	133	21	)	)	PUNCT
cana-4039	133	22	equation	equation	NOUN
cana-4039	133	23	(	(	PUNCT
cana-4039	133	24	1	1	X
cana-4039	133	25	)	)	PUNCT
cana-4039	133	26	represents	represent	VERB
cana-4039	133	27	a	a	DET
cana-4039	133	28	hyperplane	hyperplane	NOUN
cana-4039	133	29	in	in	ADP
cana-4039	133	30	the	the	DET
cana-4039	133	31	feature	feature	NOUN
cana-4039	133	32	space	space	NOUN
cana-4039	133	33	used	use	VERB
cana-4039	133	34	by	by	ADP
cana-4039	133	35	svm	svm	NOUN
cana-4039	133	36	to	to	PART
cana-4039	133	37	distinguish	distinguish	VERB
cana-4039	133	38	between	between	ADP
cana-4039	133	39	classes	class	NOUN
cana-4039	133	40	.	.	PUNCT
cana-4039	134	1	𝑐𝑇	𝑐𝑇	NOUN
cana-4039	134	2	indicates	indicate	VERB
cana-4039	134	3	the	the	DET
cana-4039	134	4	direction	direction	NOUN
cana-4039	134	5	/	/	SYM
cana-4039	134	6	orientation	orientation	NOUN
cana-4039	134	7	of	of	ADP
cana-4039	134	8	the	the	DET
cana-4039	134	9	hyperplane	hyperplane	NOUN
cana-4039	134	10	.	.	PUNCT
cana-4039	135	1	�	�	PROPN
cana-4039	135	2	⃗	⃗	NOUN
cana-4039	135	3	�	�	PROPN
cana-4039	135	4	is	be	AUX
cana-4039	135	5	a	a	DET
cana-4039	135	6	point	point	NOUN
cana-4039	135	7	in	in	ADP
cana-4039	135	8	feature	feature	NOUN
cana-4039	135	9	space	space	NOUN
cana-4039	135	10	.	.	PUNCT
cana-4039	136	1	b	b	NOUN
cana-4039	136	2	is	be	AUX
cana-4039	136	3	the	the	DET
cana-4039	136	4	bias	bias	NOUN
cana-4039	136	5	,	,	PUNCT
cana-4039	136	6	and	and	CCONJ
cana-4039	136	7	it	it	PRON
cana-4039	136	8	adjusts	adjust	VERB
cana-4039	136	9	the	the	DET
cana-4039	136	10	position	position	NOUN
cana-4039	136	11	of	of	ADP
cana-4039	136	12	the	the	DET
cana-4039	136	13	hyperplane	hyperplane	NOUN
cana-4039	136	14	.	.	PUNCT
cana-4039	137	1	this	this	PRON
cana-4039	137	2	is	be	AUX
cana-4039	137	3	how	how	SCONJ
cana-4039	137	4	one	one	NOUN
cana-4039	137	5	applies	apply	VERB
cana-4039	137	6	a	a	DET
cana-4039	137	7	kernel	kernel	PROPN
cana-4039	137	8	function	function	NOUN
cana-4039	137	9	k	k	PROPN
cana-4039	137	10	to	to	PART
cana-4039	137	11	classify	classify	VERB
cana-4039	137	12	nonlinear	nonlinear	ADJ
cana-4039	137	13	data	datum	NOUN
cana-4039	137	14	shown	show	VERB
cana-4039	137	15	in	in	ADP
cana-4039	137	16	equation	equation	NOUN
cana-4039	137	17	(	(	PUNCT
cana-4039	137	18	2	2	NUM
cana-4039	137	19	):	):	PUNCT
cana-4039	137	20	𝑚𝑎𝑥𝐿𝐷	𝑚𝑎𝑥𝐿𝐷	NOUN
cana-4039	137	21	=	=	PUNCT
cana-4039	137	22	∑	∑	PUNCT
cana-4039	137	23	𝑎1𝑖𝑖	𝑎1𝑖𝑖	PUNCT
cana-4039	137	24	−	−	PROPN
cana-4039	137	25	1	1	NUM
cana-4039	137	26	2	2	NUM
cana-4039	137	27	∑	∑	DET
cana-4039	137	28	∑	∑	PUNCT
cana-4039	137	29	𝑎1𝑖𝑎1𝑗𝑝𝑖𝑝𝑗𝐾(𝑎𝑖⃗⃗⃗⃗	𝑎1𝑖𝑎1𝑗𝑝𝑖𝑝𝑗𝐾(𝑎𝑖⃗⃗⃗⃗	NOUN
cana-4039	137	30	.	.	PUNCT
cana-4039	138	1	𝑎𝑗⃗⃗⃗⃗	𝑎𝑗⃗⃗⃗⃗	X
cana-4039	138	2	)	)	PUNCT
cana-4039	138	3	𝑖𝑖	𝑖𝑖	NOUN
cana-4039	138	4	--------(2	--------(2	INTJ
cana-4039	138	5	)	)	PUNCT
cana-4039	139	1	to	to	PART
cana-4039	139	2	maximise	maximise	VERB
cana-4039	139	3	the	the	DET
cana-4039	139	4	margin	margin	NOUN
cana-4039	139	5	for	for	ADP
cana-4039	139	6	each	each	DET
cana-4039	139	7	training	training	NOUN
cana-4039	139	8	data	datum	NOUN
cana-4039	139	9	point	point	NOUN
cana-4039	139	10	,	,	PUNCT
cana-4039	139	11	use	use	VERB
cana-4039	139	12	the	the	DET
cana-4039	139	13	lagrange	lagrange	NOUN
cana-4039	139	14	multipliers	multiplier	NOUN
cana-4039	139	15	𝑎1𝑖	𝑎1𝑖	ADJ
cana-4039	139	16	and	and	CCONJ
cana-4039	139	17	𝑎1𝑗	𝑎1𝑗	NOUN
cana-4039	139	18	;	;	PUNCT
cana-4039	139	19	for	for	ADP
cana-4039	139	20	i	i	PROPN
cana-4039	139	21	-	-	PUNCT
cana-4039	139	22	th	th	X
cana-4039	139	23	data	datum	NOUN
cana-4039	139	24	point	point	NOUN
cana-4039	139	25	,	,	PUNCT
cana-4039	139	26	use	use	VERB
cana-4039	139	27	the	the	DET
cana-4039	139	28	class	class	NOUN
cana-4039	139	29	labels	label	NOUN
cana-4039	139	30	𝑝𝑖	𝑝𝑖	NOUN
cana-4039	139	31	;	;	PUNCT
cana-4039	139	32	for	for	ADP
cana-4039	139	33	j	j	PROPN
cana-4039	139	34	-	-	PUNCT
cana-4039	139	35	th	th	VERB
cana-4039	139	36	data	datum	NOUN
cana-4039	139	37	point	point	NOUN
cana-4039	139	38	,	,	PUNCT
cana-4039	139	39	use	use	VERB
cana-4039	139	40	𝑦𝑗.	𝑦𝑗.	NOUN
cana-4039	139	41	𝐾(𝑎𝑖⃗⃗⃗⃗	𝐾(𝑎𝑖⃗⃗⃗⃗	X
cana-4039	139	42	.	.	PUNCT
cana-4039	140	1	𝑎𝑗⃗⃗⃗⃗	𝑎𝑗⃗⃗⃗⃗	NUM
cana-4039	140	2	)	)	PUNCT
cana-4039	140	3	.	.	PUNCT
cana-4039	141	1	in	in	ADP
cana-4039	141	2	the	the	DET
cana-4039	141	3	converted	convert	VERB
cana-4039	141	4	feature	feature	NOUN
cana-4039	141	5	space	space	NOUN
cana-4039	141	6	,	,	PUNCT
cana-4039	141	7	the	the	DET
cana-4039	141	8	kernel	kernel	NOUN
cana-4039	141	9	function	function	VERB
cana-4039	141	10	𝑎𝑗⃗⃗⃗⃗	𝑎𝑗⃗⃗⃗⃗	PROPN
cana-4039	141	11	determines	determine	VERB
cana-4039	141	12	the	the	DET
cana-4039	141	13	similarity	similarity	NOUN
cana-4039	141	14	between	between	ADP
cana-4039	141	15	𝑎𝑖	𝑎𝑖	PRON
cana-4039	141	16	and	and	CCONJ
cana-4039	141	17	𝑎𝑗.	𝑎𝑗.	NOUN
cana-4039	141	18	https://www.kaggle.com/datasets/sheenabatra/facebook-data	https://www.kaggle.com/datasets/sheenabatra/facebook-data	NOUN
cana-4039	141	19	https://www.kaggle.com/datasets/krpurba/im-instagram-70k	https://www.kaggle.com/datasets/krpurba/im-instagram-70k	PROPN
cana-4039	141	20	https://www.kaggle.com/datasets/kathir1k/youtube-influencers-data	https://www.kaggle.com/datasets/kathir1k/youtube-influencers-data	PROPN
cana-4039	141	21	communications	communication	NOUN
cana-4039	141	22	on	on	ADP
cana-4039	141	23	applied	apply	VERB
cana-4039	141	24	nonlinear	nonlinear	ADJ
cana-4039	141	25	analysis	analysis	NOUN
cana-4039	141	26	issn	issn	NOUN
cana-4039	141	27	:	:	PUNCT
cana-4039	141	28	1074	1074	NUM
cana-4039	141	29	-	-	PUNCT
cana-4039	141	30	133x	133x	NUM
cana-4039	141	31	vol	vol	NOUN
cana-4039	141	32	32	32	NUM
cana-4039	141	33	no	no	NOUN
cana-4039	141	34	.	.	PUNCT
cana-4039	142	1	9s	9s	NUM
cana-4039	142	2	(	(	PUNCT
cana-4039	142	3	2025	2025	NUM
cana-4039	142	4	)	)	PUNCT
cana-4039	142	5	915	915	NUM
cana-4039	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	142	7	support	support	NOUN
cana-4039	142	8	vector	vector	NOUN
cana-4039	142	9	machines	machine	NOUN
cana-4039	142	10	,	,	PUNCT
cana-4039	142	11	or	or	CCONJ
cana-4039	142	12	svms	svms	NOUN
cana-4039	142	13	,	,	PUNCT
cana-4039	142	14	are	be	AUX
cana-4039	142	15	an	an	DET
cana-4039	142	16	effective	effective	ADJ
cana-4039	142	17	method	method	NOUN
cana-4039	142	18	for	for	ADP
cana-4039	142	19	categorising	categorise	VERB
cana-4039	142	20	data	datum	NOUN
cana-4039	142	21	across	across	ADP
cana-4039	142	22	several	several	ADJ
cana-4039	142	23	dimensions	dimension	NOUN
cana-4039	142	24	.	.	PUNCT
cana-4039	143	1	unlike	unlike	ADP
cana-4039	143	2	nearest	near	ADJ
cana-4039	143	3	-	-	PUNCT
cana-4039	143	4	neighbor	neighbor	NOUN
cana-4039	143	5	classifiers	classifier	NOUN
cana-4039	143	6	,	,	PUNCT
cana-4039	143	7	support	support	VERB
cana-4039	143	8	vector	vector	NOUN
cana-4039	143	9	machines	machine	NOUN
cana-4039	143	10	(	(	PUNCT
cana-4039	143	11	svms	svms	NOUN
cana-4039	143	12	)	)	PUNCT
cana-4039	143	13	maximise	maximise	VERB
cana-4039	143	14	the	the	DET
cana-4039	143	15	classification	classification	NOUN
cana-4039	143	16	margin	margin	NOUN
cana-4039	143	17	to	to	PART
cana-4039	143	18	find	find	VERB
cana-4039	143	19	the	the	DET
cana-4039	143	20	best	good	ADJ
cana-4039	143	21	hyperplane	hyperplane	NOUN
cana-4039	143	22	for	for	ADP
cana-4039	143	23	grouping	group	VERB
cana-4039	143	24	training	training	NOUN
cana-4039	143	25	data	datum	NOUN
cana-4039	143	26	.	.	PUNCT
cana-4039	144	1	to	to	PART
cana-4039	144	2	avoid	avoid	VERB
cana-4039	144	3	costly	costly	ADJ
cana-4039	144	4	similarity	similarity	NOUN
cana-4039	144	5	calculations	calculation	NOUN
cana-4039	144	6	in	in	ADP
cana-4039	144	7	highdimensional	highdimensional	ADJ
cana-4039	144	8	feature	feature	NOUN
cana-4039	144	9	space	space	NOUN
cana-4039	144	10	,	,	PUNCT
cana-4039	144	11	support	support	VERB
cana-4039	144	12	vector	vector	NOUN
cana-4039	144	13	machines	machine	NOUN
cana-4039	144	14	utilise	utilise	VERB
cana-4039	144	15	a	a	DET
cana-4039	144	16	replacement	replacement	NOUN
cana-4039	144	17	kernel	kernel	NOUN
cana-4039	144	18	function	function	NOUN
cana-4039	144	19	.	.	PUNCT
cana-4039	145	1	the	the	DET
cana-4039	145	2	target	target	NOUN
cana-4039	145	3	function	function	NOUN
cana-4039	145	4	for	for	ADP
cana-4039	145	5	training	train	VERB
cana-4039	145	6	a	a	DET
cana-4039	145	7	nonlinear	nonlinear	ADJ
cana-4039	145	8	support	support	NOUN
cana-4039	145	9	vector	vector	NOUN
cana-4039	145	10	machine	machine	NOUN
cana-4039	145	11	model	model	NOUN
cana-4039	145	12	is	be	AUX
cana-4039	145	13	shown	show	VERB
cana-4039	145	14	below	below	ADP
cana-4039	145	15	.	.	PUNCT
cana-4039	146	1	equation	equation	NOUN
cana-4039	146	2	(	(	PUNCT
cana-4039	146	3	3	3	X
cana-4039	146	4	)	)	PUNCT
cana-4039	146	5	supports	support	VERB
cana-4039	146	6	two	two	NUM
cana-4039	146	7	primary	primary	ADJ
cana-4039	146	8	aims	aim	NOUN
cana-4039	146	9	that	that	PRON
cana-4039	146	10	improve	improve	VERB
cana-4039	146	11	svm	svm	PROPN
cana-4039	146	12	.	.	PROPN
cana-4039	146	13	•	•	NUM
cana-4039	146	14	optimising	optimise	VERB
cana-4039	146	15	the	the	DET
cana-4039	146	16	difference	difference	NOUN
cana-4039	146	17	between	between	ADP
cana-4039	146	18	categories	category	NOUN
cana-4039	146	19	;	;	PUNCT
cana-4039	146	20	and	and	CCONJ
cana-4039	146	21	minimising	minimise	VERB
cana-4039	146	22	the	the	DET
cana-4039	146	23	severity	severity	NOUN
cana-4039	146	24	of	of	ADP
cana-4039	146	25	penalties	penalty	NOUN
cana-4039	146	26	for	for	ADP
cana-4039	146	27	points	point	NOUN
cana-4039	146	28	that	that	PRON
cana-4039	146	29	stray	stray	VERB
cana-4039	146	30	from	from	ADP
cana-4039	146	31	classification	classification	NOUN
cana-4039	146	32	boundary	boundary	ADJ
cana-4039	146	33	norms	norm	NOUN
cana-4039	146	34	.	.	PUNCT
cana-4039	147	1	min	min	NOUN
cana-4039	147	2	𝑐,𝑏,𝜉	𝑐,𝑏,𝜉	NUM
cana-4039	147	3	1	1	NUM
cana-4039	147	4	2	2	NUM
cana-4039	147	5	‖𝑐‖2	‖𝑐‖2	ADP
cana-4039	147	6	2	2	NUM
cana-4039	147	7	+	+	CCONJ
cana-4039	147	8	𝛽	𝛽	NOUN
cana-4039	147	9	∑	∑	PUNCT
cana-4039	147	10	𝜉𝑖	𝜉𝑖	ADP
cana-4039	147	11	𝑛	𝑛	PRON
cana-4039	147	12	𝑖=1	𝑖=1	PUNCT
cana-4039	147	13	----------(3	----------(3	PROPN
cana-4039	147	14	)	)	PUNCT
cana-4039	147	15	𝑠	𝑠	PROPN
cana-4039	147	16	.	.	PUNCT
cana-4039	148	1	𝑡	𝑡	PROPN
cana-4039	148	2	𝑝𝑖[𝑐𝑇𝜑(𝑎𝑖	𝑝𝑖[𝑐𝑇𝜑(𝑎𝑖	NOUN
cana-4039	148	3	)	)	PUNCT
cana-4039	148	4	−	−	ADP
cana-4039	149	1	𝑏	𝑏	NOUN
cana-4039	149	2	]	]	PUNCT
cana-4039	149	3	≥	≥	NUM
cana-4039	149	4	1	1	NUM
cana-4039	149	5	−	−	NOUN
cana-4039	149	6	𝝃𝒊	𝝃𝒊	NOUN
cana-4039	149	7	-----------(4	-----------(4	INTJ
cana-4039	149	8	)	)	PUNCT
cana-4039	149	9	𝜉𝑖	𝜉𝑖	ADP
cana-4039	149	10	≥	≥	NOUN
cana-4039	149	11	0	0	NUM
cana-4039	149	12	,	,	PUNCT
cana-4039	149	13	𝑖	𝑖	NOUN
cana-4039	149	14	=	=	SYM
cana-4039	149	15	1,2	1,2	NUM
cana-4039	149	16	,	,	PUNCT
cana-4039	149	17	…	…	PUNCT
cana-4039	149	18	,	,	PUNCT
cana-4039	149	19	𝑛	𝑛	NOUN
cana-4039	149	20	,	,	PUNCT
cana-4039	149	21	-----------(5	-----------(5	INTJ
cana-4039	149	22	)	)	PUNCT
cana-4039	149	23	the	the	DET
cana-4039	149	24	activation	activation	NOUN
cana-4039	149	25	of	of	ADP
cana-4039	149	26	a	a	DET
cana-4039	149	27	function	function	NOUN
cana-4039	149	28	𝜑(𝑎𝑖	𝜑(𝑎𝑖	PROPN
cana-4039	149	29	)	)	PUNCT
cana-4039	149	30	)	)	PUNCT
cana-4039	149	31	in	in	ADP
cana-4039	149	32	the	the	DET
cana-4039	149	33	equations	equation	NOUN
cana-4039	149	34	(	(	PUNCT
cana-4039	149	35	3	3	NUM
cana-4039	149	36	)	)	PUNCT
cana-4039	149	37	,	,	PUNCT
cana-4039	149	38	(	(	PUNCT
cana-4039	149	39	4	4	NUM
cana-4039	149	40	)	)	PUNCT
cana-4039	149	41	,	,	PUNCT
cana-4039	149	42	and	and	CCONJ
cana-4039	149	43	(	(	PUNCT
cana-4039	149	44	5	5	X
cana-4039	149	45	)	)	PUNCT
cana-4039	149	46	projects	project	NOUN
cana-4039	149	47	input	input	NOUN
cana-4039	149	48	𝑎𝑖	𝑎𝑖	ADP
cana-4039	149	49	to	to	ADP
cana-4039	149	50	high	high	ADJ
cana-4039	149	51	-	-	PUNCT
cana-4039	149	52	dimensional	dimensional	ADJ
cana-4039	149	53	feature	feature	NOUN
cana-4039	149	54	space	space	NOUN
cana-4039	149	55	.	.	PUNCT
cana-4039	150	1	h	h	PROPN
cana-4039	150	2	is	be	AUX
cana-4039	150	3	the	the	DET
cana-4039	150	4	cost	cost	NOUN
cana-4039	150	5	of	of	ADP
cana-4039	150	6	classification	classification	NOUN
cana-4039	150	7	margin	margin	NOUN
cana-4039	150	8	compared	compare	VERB
cana-4039	150	9	to	to	ADP
cana-4039	150	10	misclassification	misclassification	NOUN
cana-4039	150	11	error	error	NOUN
cana-4039	150	12	offered	offer	VERB
cana-4039	150	13	by	by	ADP
cana-4039	150	14	an	an	DET
cana-4039	150	15	activation	activation	NOUN
cana-4039	150	16	of	of	ADP
cana-4039	150	17	a	a	DET
cana-4039	150	18	function	function	NOUN
cana-4039	150	19	𝜑(𝑎𝑖)in	𝜑(𝑎𝑖)in	NOUN
cana-4039	150	20	(	(	PUNCT
cana-4039	150	21	3	3	NUM
cana-4039	150	22	)	)	PUNCT
cana-4039	150	23	,	,	PUNCT
cana-4039	150	24	(	(	PUNCT
cana-4039	150	25	4	4	NUM
cana-4039	150	26	)	)	PUNCT
cana-4039	150	27	,	,	PUNCT
cana-4039	150	28	and	and	CCONJ
cana-4039	150	29	(	(	PUNCT
cana-4039	150	30	5	5	X
cana-4039	150	31	)	)	PUNCT
cana-4039	150	32	allocates	allocate	VERB
cana-4039	150	33	input	input	NOUN
cana-4039	150	34	𝑎𝑖	𝑎𝑖	ADP
cana-4039	150	35	the	the	DET
cana-4039	150	36	high	high	ADV
cana-4039	150	37	-	-	PUNCT
cana-4039	150	38	dimensional	dimensional	ADJ
cana-4039	150	39	feature	feature	NOUN
cana-4039	150	40	space	space	NOUN
cana-4039	150	41	.	.	PUNCT
cana-4039	151	1	h	h	PROPN
cana-4039	151	2	is	be	AUX
cana-4039	151	3	the	the	DET
cana-4039	151	4	cost	cost	NOUN
cana-4039	151	5	of	of	ADP
cana-4039	151	6	classification	classification	NOUN
cana-4039	151	7	margin	margin	NOUN
cana-4039	151	8	compared	compare	VERB
cana-4039	151	9	to	to	ADP
cana-4039	151	10	misclassification	misclassification	NOUN
cana-4039	151	11	error	error	NOUN
cana-4039	151	12	offered	offer	VERB
cana-4039	151	13	by	by	ADP
cana-4039	151	14	𝜉𝑖.	𝜉𝑖.	PROPN
cana-4039	151	15	the	the	DET
cana-4039	151	16	lagrange	lagrange	PROPN
cana-4039	151	17	multiplier	multipli	ADJ
cana-4039	151	18	method	method	NOUN
cana-4039	151	19	enables	enable	VERB
cana-4039	151	20	to	to	PART
cana-4039	151	21	convert	convert	VERB
cana-4039	151	22	the	the	DET
cana-4039	151	23	following	follow	VERB
cana-4039	151	24	optimisation	optimisation	NOUN
cana-4039	151	25	function	function	NOUN
cana-4039	151	26	into	into	ADP
cana-4039	151	27	its	its	PRON
cana-4039	151	28	dual	dual	ADJ
cana-4039	151	29	form	form	NOUN
cana-4039	151	30	for	for	ADP
cana-4039	151	31	support	support	NOUN
cana-4039	151	32	vector	vector	NOUN
cana-4039	151	33	machines	machine	NOUN
cana-4039	151	34	:	:	PUNCT
cana-4039	151	35	max	max	PROPN
cana-4039	151	36	𝑎1	𝑎1	PROPN
cana-4039	151	37	∑	∑	PUNCT
cana-4039	151	38	𝑎1𝑖	𝑎1𝑖	ADJ
cana-4039	151	39	−	−	PROPN
cana-4039	151	40	1	1	NUM
cana-4039	151	41	2	2	NUM
cana-4039	151	42	𝑛	𝑛	PRON
cana-4039	151	43	𝑖=1	𝑖=1	PUNCT
cana-4039	151	44	∑	∑	PUNCT
cana-4039	151	45	𝑎1𝑖𝑎1𝑗𝑝𝑖𝑝𝑗𝐾(𝑎𝑖	𝑎1𝑖𝑎1𝑗𝑝𝑖𝑝𝑗𝐾(𝑎𝑖	VERB
cana-4039	151	46	,	,	PUNCT
cana-4039	151	47	𝑎𝑗)𝑛	𝑎𝑗)𝑛	PROPN
cana-4039	151	48	𝑖,𝑗=1	𝑖,𝑗=1	NOUN
cana-4039	151	49	---------(6	---------(6	NOUN
cana-4039	151	50	)	)	PUNCT
cana-4039	151	51	𝑠.	𝑠.	NOUN
cana-4039	151	52	𝑡.	𝑡.	NOUN
cana-4039	151	53	∑	∑	PUNCT
cana-4039	151	54	𝑎1𝑖𝑝𝑖	𝑎1𝑖𝑝𝑖	NOUN
cana-4039	151	55	𝑛	𝑛	PRON
cana-4039	151	56	𝑖=1	𝑖=1	PUNCT
cana-4039	152	1	=	=	SYM
cana-4039	152	2	0	0	NUM
cana-4039	152	3	--------------(7	--------------(7	NOUN
cana-4039	152	4	)	)	PUNCT
cana-4039	152	5	0	0	NUM
cana-4039	153	1	≤	≤	PROPN
cana-4039	153	2	𝑎1𝑖	𝑎1𝑖	VERB
cana-4039	153	3	≤	≤	PROPN
cana-4039	153	4	𝛽	𝛽	PROPN
cana-4039	153	5	,	,	PUNCT
cana-4039	153	6	𝑖	𝑖	NOUN
cana-4039	153	7	=	=	SYM
cana-4039	153	8	1,2	1,2	NUM
cana-4039	153	9	,	,	PUNCT
cana-4039	153	10	…	…	PUNCT
cana-4039	153	11	,	,	PUNCT
cana-4039	153	12	𝑛	𝑛	PROPN
cana-4039	153	13	,	,	PUNCT
cana-4039	153	14	------------(8	------------(8	ADJ
cana-4039	153	15	)	)	PUNCT
cana-4039	153	16	equations	equation	NOUN
cana-4039	153	17	(	(	PUNCT
cana-4039	153	18	6	6	NUM
cana-4039	153	19	)	)	PUNCT
cana-4039	153	20	,	,	PUNCT
cana-4039	153	21	(	(	PUNCT
cana-4039	153	22	7	7	NUM
cana-4039	153	23	)	)	PUNCT
cana-4039	153	24	,	,	PUNCT
cana-4039	153	25	and	and	CCONJ
cana-4039	153	26	(	(	PUNCT
cana-4039	153	27	8)	8)	NUM
cana-4039	153	28	use	use	VERB
cana-4039	153	29	the	the	DET
cana-4039	153	30	kernel	kernel	PROPN
cana-4039	153	31	function	function	PROPN
cana-4039	153	32	𝐾(𝑎𝑖	𝐾(𝑎𝑖	NOUN
cana-4039	153	33	,	,	PUNCT
cana-4039	153	34	𝑎𝑗	𝑎𝑗	ADP
cana-4039	153	35	)	)	PUNCT
cana-4039	153	36	to	to	PART
cana-4039	153	37	compute	compute	VERB
cana-4039	153	38	the	the	DET
cana-4039	153	39	dot	dot	NOUN
cana-4039	153	40	product	product	NOUN
cana-4039	153	41	𝑎1𝑖𝑎1𝑗	𝑎1𝑖𝑎1𝑗	NOUN
cana-4039	153	42	using	use	VERB
cana-4039	153	43	𝑎1𝑖	𝑎1𝑖	PROPN
cana-4039	153	44	as	as	ADP
cana-4039	153	45	the	the	DET
cana-4039	153	46	lagrange	lagrange	NOUN
cana-4039	153	47	multiplier	multiplier	ADV
cana-4039	153	48	.	.	PUNCT
cana-4039	154	1	after	after	ADP
cana-4039	154	2	training	train	VERB
cana-4039	154	3	the	the	DET
cana-4039	154	4	svm	svm	ADJ
cana-4039	154	5	model	model	NOUN
cana-4039	154	6	,	,	PUNCT
cana-4039	154	7	use	use	VERB
cana-4039	154	8	equation	equation	NOUN
cana-4039	154	9	(	(	PUNCT
cana-4039	154	10	9	9	NUM
cana-4039	154	11	)	)	PUNCT
cana-4039	154	12	to	to	PART
cana-4039	154	13	project	project	VERB
cana-4039	154	14	the	the	DET
cana-4039	154	15	class	class	NOUN
cana-4039	154	16	label	label	NOUN
cana-4039	154	17	of	of	ADP
cana-4039	154	18	a	a	DET
cana-4039	154	19	test	test	NOUN
cana-4039	154	20	sample	sample	NOUN
cana-4039	154	21	(	(	PUNCT
cana-4039	154	22	x̅	x̅	PROPN
cana-4039	154	23	):	):	PUNCT
cana-4039	154	24	𝑦	𝑦	X
cana-4039	154	25	=	=	X
cana-4039	154	26	sign	sign	NOUN
cana-4039	154	27	(	(	PUNCT
cana-4039	154	28	∑	∑	PUNCT
cana-4039	154	29	𝑎1𝑖	𝑎1𝑖	PROPN
cana-4039	154	30	𝑛	𝑛	PRON
cana-4039	154	31	𝑖=1	𝑖=1	PROPN
cana-4039	154	32	𝑝𝑖𝜑(𝑥𝑖	𝑝𝑖𝜑(𝑥𝑖	ADJ
cana-4039	154	33	)	)	PUNCT
cana-4039	154	34	.	.	PUNCT
cana-4039	155	1	𝜑(	𝜑(	NOUN
cana-4039	155	2	�	�	SYM
cana-4039	155	3	̅	̅	NOUN
cana-4039	155	4	�	�	NOUN
cana-4039	155	5	)	)	PUNCT
cana-4039	155	6	)	)	PUNCT
cana-4039	156	1	=	=	SYM
cana-4039	156	2	sign(∑	sign(∑	PROPN
cana-4039	157	1	𝑎1𝑖𝑝𝑖𝐾(	𝑎1𝑖𝑝𝑖𝐾(	PROPN
cana-4039	157	2	�	�	PROPN
cana-4039	157	3	̅	̅	NOUN
cana-4039	157	4	�	�	PROPN
cana-4039	157	5	,	,	PUNCT
cana-4039	157	6	𝑎𝑖	𝑎𝑖	CCONJ
cana-4039	157	7	)	)	PUNCT
cana-4039	157	8	𝑛	𝑛	PRON
cana-4039	157	9	𝑖=1	𝑖=1	PROPN
cana-4039	157	10	)	)	PUNCT
cana-4039	157	11	.	.	PUNCT
cana-4039	158	1	----------(9	----------(9	NOUN
cana-4039	158	2	)	)	PUNCT
cana-4039	158	3	to	to	PART
cana-4039	158	4	train	train	VERB
cana-4039	158	5	,	,	PUNCT
cana-4039	158	6	support	support	NOUN
cana-4039	158	7	vectors	vector	NOUN
cana-4039	158	8	,	,	PUNCT
cana-4039	159	1	a	a	DET
cana-4039	159	2	collection	collection	NOUN
cana-4039	159	3	of	of	ADP
cana-4039	159	4	examples	example	NOUN
cana-4039	159	5	is	be	AUX
cana-4039	159	6	used	use	VERB
cana-4039	159	7	.	.	PUNCT
cana-4039	160	1	it	it	PRON
cana-4039	160	2	is	be	AUX
cana-4039	160	3	difficult	difficult	ADJ
cana-4039	160	4	to	to	PART
cana-4039	160	5	know	know	VERB
cana-4039	160	6	what	what	PRON
cana-4039	160	7	kernel	kernel	NOUN
cana-4039	160	8	is	be	AUX
cana-4039	160	9	going	go	VERB
cana-4039	160	10	to	to	PART
cana-4039	160	11	be	be	AUX
cana-4039	160	12	better	well	ADV
cana-4039	160	13	suited	suit	VERB
cana-4039	160	14	for	for	ADP
cana-4039	160	15	any	any	DET
cana-4039	160	16	given	give	VERB
cana-4039	160	17	set	set	NOUN
cana-4039	160	18	of	of	ADP
cana-4039	160	19	data	datum	NOUN
cana-4039	160	20	.	.	PUNCT
cana-4039	161	1	on	on	ADP
cana-4039	161	2	the	the	DET
cana-4039	161	3	one	one	NUM
cana-4039	161	4	hand	hand	NOUN
cana-4039	161	5	,	,	PUNCT
cana-4039	161	6	a	a	DET
cana-4039	161	7	complex	complex	ADJ
cana-4039	161	8	decision	decision	NOUN
cana-4039	161	9	surface	surface	NOUN
cana-4039	161	10	is	be	AUX
cana-4039	161	11	beyond	beyond	ADP
cana-4039	161	12	the	the	DET
cana-4039	161	13	capabilities	capability	NOUN
cana-4039	161	14	of	of	ADP
cana-4039	161	15	a	a	DET
cana-4039	161	16	simple	simple	ADJ
cana-4039	161	17	kernel	kernel	NOUN
cana-4039	161	18	.	.	PUNCT
cana-4039	162	1	still	still	ADV
cana-4039	162	2	,	,	PUNCT
cana-4039	162	3	an	an	DET
cana-4039	162	4	extremely	extremely	ADV
cana-4039	162	5	flexible	flexible	ADJ
cana-4039	162	6	kernel	kernel	NOUN
cana-4039	162	7	results	result	NOUN
cana-4039	162	8	in	in	ADP
cana-4039	162	9	model	model	NOUN
cana-4039	162	10	overfitting	overfitting	NOUN
cana-4039	162	11	.	.	PUNCT
cana-4039	163	1	3.3.2	3.3.2	NUM
cana-4039	163	2	logistic	logistic	ADJ
cana-4039	163	3	regression	regression	NOUN
cana-4039	163	4	the	the	DET
cana-4039	163	5	dataset	dataset	NOUN
cana-4039	163	6	is	be	AUX
cana-4039	163	7	categorised	categorise	VERB
cana-4039	163	8	using	use	VERB
cana-4039	163	9	logistic	logistic	ADJ
cana-4039	163	10	regression	regression	NOUN
cana-4039	163	11	(	(	PUNCT
cana-4039	163	12	lr	lr	NOUN
cana-4039	163	13	)	)	PUNCT
cana-4039	163	14	in	in	ADP
cana-4039	163	15	this	this	DET
cana-4039	163	16	paper	paper	NOUN
cana-4039	163	17	.	.	PUNCT
cana-4039	164	1	in	in	ADP
cana-4039	164	2	contrast	contrast	NOUN
cana-4039	164	3	to	to	ADP
cana-4039	164	4	its	its	PRON
cana-4039	164	5	ability	ability	NOUN
cana-4039	164	6	to	to	PART
cana-4039	164	7	predict	predict	VERB
cana-4039	164	8	continuous	continuous	ADJ
cana-4039	164	9	outcomes	outcome	NOUN
cana-4039	164	10	,	,	PUNCT
cana-4039	164	11	lr	lr	X
cana-4039	164	12	excels	excel	NOUN
cana-4039	164	13	in	in	ADP
cana-4039	164	14	binary	binary	ADJ
cana-4039	164	15	classification	classification	NOUN
cana-4039	164	16	situations	situation	NOUN
cana-4039	164	17	in	in	ADP
cana-4039	164	18	which	which	PRON
cana-4039	164	19	the	the	DET
cana-4039	164	20	goal	goal	NOUN
cana-4039	164	21	variable	variable	NOUN
cana-4039	164	22	takes	take	VERB
cana-4039	164	23	one	one	NUM
cana-4039	164	24	of	of	ADP
cana-4039	164	25	two	two	NUM
cana-4039	164	26	potential	potential	ADJ
cana-4039	164	27	values	value	NOUN
cana-4039	164	28	.	.	PUNCT
cana-4039	165	1	t.	t.	PROPN
cana-4039	165	2	lawrence	lawrence	PROPN
cana-4039	165	3	et	et	PROPN
cana-4039	165	4	al	al	PROPN
cana-4039	165	5	.	.	PROPN
cana-4039	165	6	believe	believe	VERB
cana-4039	165	7	that	that	SCONJ
cana-4039	165	8	by	by	ADP
cana-4039	165	9	curve	curve	NOUN
cana-4039	165	10	-	-	PUNCT
cana-4039	165	11	fitting	fit	VERB
cana-4039	165	12	data	datum	NOUN
cana-4039	165	13	to	to	ADP
cana-4039	165	14	a	a	DET
cana-4039	165	15	logistic	logistic	ADJ
cana-4039	165	16	curve	curve	NOUN
cana-4039	165	17	,	,	PUNCT
cana-4039	165	18	lr	lr	X
cana-4039	165	19	is	be	AUX
cana-4039	165	20	able	able	ADJ
cana-4039	165	21	to	to	PART
cana-4039	165	22	predict	predict	VERB
cana-4039	165	23	the	the	DET
cana-4039	165	24	probability	probability	NOUN
cana-4039	165	25	that	that	SCONJ
cana-4039	165	26	an	an	DET
cana-4039	165	27	event	event	NOUN
cana-4039	165	28	occur	occur	VERB
cana-4039	165	29	.	.	PUNCT
cana-4039	166	1	predictor	predictor	NOUN
cana-4039	166	2	variables	variable	NOUN
cana-4039	166	3	,	,	PUNCT
cana-4039	166	4	which	which	PRON
cana-4039	166	5	have	have	AUX
cana-4039	166	6	been	be	AUX
cana-4039	166	7	numerical	numerical	ADJ
cana-4039	166	8	or	or	CCONJ
cana-4039	166	9	categorised	categorise	VERB
cana-4039	166	10	,	,	PUNCT
cana-4039	166	11	are	be	AUX
cana-4039	166	12	used	use	VERB
cana-4039	166	13	in	in	ADP
cana-4039	166	14	a	a	DET
cana-4039	166	15	variety	variety	NOUN
cana-4039	166	16	of	of	ADP
cana-4039	166	17	regression	regression	NOUN
cana-4039	166	18	analyses	analysis	NOUN
cana-4039	166	19	.	.	PUNCT
cana-4039	167	1	lr	lr	NOUN
cana-4039	167	2	is	be	AUX
cana-4039	167	3	often	often	ADV
cana-4039	167	4	utilised	utilise	VERB
cana-4039	167	5	in	in	ADP
cana-4039	167	6	the	the	DET
cana-4039	167	7	social	social	ADJ
cana-4039	167	8	media	medium	NOUN
cana-4039	167	9	industry	industry	NOUN
cana-4039	167	10	for	for	ADP
cana-4039	167	11	objectives	objective	NOUN
cana-4039	167	12	like	like	ADP
cana-4039	167	13	as	as	ADP
cana-4039	167	14	predicting	predict	VERB
cana-4039	167	15	user	user	NOUN
cana-4039	167	16	activity	activity	NOUN
cana-4039	167	17	(	(	PUNCT
cana-4039	167	18	for	for	ADP
cana-4039	167	19	example	example	NOUN
cana-4039	167	20	,	,	PUNCT
cana-4039	167	21	product	product	NOUN
cana-4039	167	22	purchase	purchase	NOUN
cana-4039	167	23	or	or	CCONJ
cana-4039	167	24	membership	membership	NOUN
cana-4039	167	25	cancellation	cancellation	NOUN
cana-4039	167	26	)	)	PUNCT
cana-4039	167	27	.	.	PUNCT
cana-4039	167	28	𝑙𝑜𝑔𝑖𝑡{𝑃𝑟(𝑃	𝑙𝑜𝑔𝑖𝑡{𝑃𝑟(𝑃	X
cana-4039	168	1	=	=	SYM
cana-4039	168	2	1|𝑎	1|𝑎	X
cana-4039	168	3	)	)	PUNCT
cana-4039	168	4	}	}	PUNCT
cana-4039	168	5	=	=	SYM
cana-4039	168	6	𝑙𝑜𝑔	𝑙𝑜𝑔	X
cana-4039	168	7	{	{	PUNCT
cana-4039	168	8	pr	pr	X
cana-4039	168	9	(	(	PUNCT
cana-4039	168	10	𝑃=1|𝑎	𝑃=1|𝑎	NOUN
cana-4039	168	11	)	)	PUNCT
cana-4039	168	12	1−pr	1−pr	NUM
cana-4039	168	13	(	(	PUNCT
cana-4039	168	14	𝑃=1|𝑎	𝑃=1|𝑎	NOUN
cana-4039	168	15	)	)	PUNCT
cana-4039	168	16	}	}	PUNCT
cana-4039	168	17	=	=	SYM
cana-4039	168	18	𝛽0	𝛽0	PROPN
cana-4039	168	19	+	+	CCONJ
cana-4039	168	20	𝛽1𝑎1	𝛽1𝑎1	X
cana-4039	168	21	+	+	PUNCT
cana-4039	168	22	𝛽2𝑎2	𝛽2𝑎2	X
cana-4039	168	23	+	+	X
cana-4039	168	24	⋯	⋯	VERB
cana-4039	168	25	+	+	NUM
cana-4039	168	26	𝛽𝑘𝑎𝑘	𝛽𝑘𝑎𝑘	ADJ
cana-4039	168	27	-----------(10	-----------(10	NUM
cana-4039	168	28	)	)	PUNCT
cana-4039	168	29	communications	communication	NOUN
cana-4039	168	30	on	on	ADP
cana-4039	168	31	applied	apply	VERB
cana-4039	168	32	nonlinear	nonlinear	ADJ
cana-4039	168	33	analysis	analysis	NOUN
cana-4039	168	34	issn	issn	NOUN
cana-4039	168	35	:	:	PUNCT
cana-4039	168	36	1074	1074	NUM
cana-4039	168	37	-	-	PUNCT
cana-4039	168	38	133x	133x	NUM
cana-4039	168	39	vol	vol	NOUN
cana-4039	168	40	32	32	NUM
cana-4039	168	41	no	no	NOUN
cana-4039	168	42	.	.	PUNCT
cana-4039	169	1	9s	9s	NUM
cana-4039	169	2	(	(	PUNCT
cana-4039	169	3	2025	2025	NUM
cana-4039	169	4	)	)	PUNCT
cana-4039	169	5	916	916	NUM
cana-4039	169	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	169	7	from	from	ADP
cana-4039	169	8	the	the	DET
cana-4039	169	9	statement	statement	NOUN
cana-4039	169	10	,	,	PUNCT
cana-4039	169	11	intercept	intercept	NOUN
cana-4039	169	12	appears	appear	VERB
cana-4039	169	13	as	as	ADP
cana-4039	169	14	𝛽0	𝛽0	NOUN
cana-4039	169	15	,	,	PUNCT
cana-4039	169	16	𝛽1	𝛽1	NOUN
cana-4039	169	17	,	,	PUNCT
cana-4039	169	18	𝛽2	𝛽2	NOUN
cana-4039	169	19	,	,	PUNCT
cana-4039	169	20	𝛽𝑘	𝛽𝑘	ADV
cana-4039	169	21	,	,	PUNCT
cana-4039	169	22	etc	etc	X
cana-4039	169	23	.	.	X
cana-4039	169	24	represent	represent	VERB
cana-4039	169	25	the	the	DET
cana-4039	169	26	"	"	PUNCT
cana-4039	169	27	regression	regression	NOUN
cana-4039	169	28	coefficients	coefficient	NOUN
cana-4039	169	29	"	"	PUNCT
cana-4039	169	30	of	of	ADP
cana-4039	169	31	𝑎1	𝑎1	PROPN
cana-4039	169	32	,	,	PUNCT
cana-4039	169	33	𝑎2	𝑎2	NOUN
cana-4039	169	34	,	,	PUNCT
cana-4039	169	35	and	and	CCONJ
cana-4039	169	36	𝑎𝑘.	𝑎𝑘.	CCONJ
cana-4039	169	37	the	the	DET
cana-4039	169	38	degree	degree	NOUN
cana-4039	169	39	of	of	ADP
cana-4039	169	40	contribution	contribution	NOUN
cana-4039	169	41	by	by	ADP
cana-4039	169	42	the	the	DET
cana-4039	169	43	risk	risk	NOUN
cana-4039	169	44	factor	factor	NOUN
cana-4039	169	45	is	be	AUX
cana-4039	169	46	represented	represent	VERB
cana-4039	169	47	in	in	ADP
cana-4039	169	48	terms	term	NOUN
cana-4039	169	49	of	of	ADP
cana-4039	169	50	regression	regression	NOUN
cana-4039	169	51	coefficients	coefficient	NOUN
cana-4039	169	52	.	.	PUNCT
cana-4039	170	1	equation	equation	NOUN
cana-4039	170	2	(	(	PUNCT
cana-4039	170	3	11	11	NUM
cana-4039	170	4	)	)	PUNCT
cana-4039	170	5	shows	show	NOUN
cana-4039	170	6	in	in	ADP
cana-4039	170	7	this	this	DET
cana-4039	170	8	situation	situation	NOUN
cana-4039	170	9	the	the	DET
cana-4039	170	10	logistic	logistic	ADJ
cana-4039	170	11	function	function	NOUN
cana-4039	170	12	:	:	PUNCT
cana-4039	170	13	𝑃1	𝑃1	NOUN
cana-4039	170	14	=	=	SYM
cana-4039	170	15	1	1	NUM
cana-4039	170	16	1+𝑒−𝑙𝑜𝑔𝑖𝑡(𝑝1	1+𝑒−𝑙𝑜𝑔𝑖𝑡(𝑝1	NUM
cana-4039	170	17	)	)	PUNCT
cana-4039	170	18	---------------(11	---------------(11	NOUN
cana-4039	170	19	)	)	PUNCT
cana-4039	170	20	because	because	SCONJ
cana-4039	170	21	its	its	PRON
cana-4039	170	22	output	output	NOUN
cana-4039	170	23	only	only	ADV
cana-4039	170	24	accept	accept	VERB
cana-4039	170	25	the	the	DET
cana-4039	170	26	values	value	NOUN
cana-4039	170	27	between	between	ADP
cana-4039	170	28	0	0	NUM
cana-4039	170	29	and	and	CCONJ
cana-4039	170	30	1	1	NUM
cana-4039	170	31	,	,	PUNCT
cana-4039	170	32	the	the	DET
cana-4039	170	33	logistic	logistic	ADJ
cana-4039	170	34	function	function	NOUN
cana-4039	170	35	works	work	VERB
cana-4039	170	36	well	well	ADV
cana-4039	170	37	with	with	ADP
cana-4039	170	38	inputs	input	NOUN
cana-4039	170	39	ranging	range	VERB
cana-4039	170	40	from	from	ADP
cana-4039	170	41	negative	negative	ADJ
cana-4039	170	42	infinity	infinity	NOUN
cana-4039	170	43	to	to	ADP
cana-4039	170	44	positive	positive	ADJ
cana-4039	170	45	infinity.the	infinity.the	DET
cana-4039	170	46	family	family	NOUN
cana-4039	170	47	includes	include	VERB
cana-4039	170	48	several	several	ADJ
cana-4039	170	49	distinct	distinct	ADJ
cana-4039	170	50	types	type	NOUN
cana-4039	170	51	of	of	ADP
cana-4039	170	52	linear	linear	ADJ
cana-4039	170	53	models	model	NOUN
cana-4039	170	54	.	.	PUNCT
cana-4039	171	1	with	with	ADP
cana-4039	171	2	the	the	DET
cana-4039	171	3	assumption	assumption	NOUN
cana-4039	171	4	that	that	SCONJ
cana-4039	171	5	they	they	PRON
cana-4039	171	6	follow	follow	VERB
cana-4039	171	7	a	a	DET
cana-4039	171	8	normal	normal	ADJ
cana-4039	171	9	distribution	distribution	NOUN
cana-4039	171	10	,	,	PUNCT
cana-4039	171	11	all	all	PRON
cana-4039	171	12	of	of	ADP
cana-4039	171	13	the	the	DET
cana-4039	171	14	models	model	NOUN
cana-4039	171	15	explored	explore	VERB
cana-4039	171	16	have	have	AUX
cana-4039	171	17	relied	rely	VERB
cana-4039	171	18	on	on	ADP
cana-4039	171	19	quantitative	quantitative	ADJ
cana-4039	171	20	response	response	NOUN
cana-4039	171	21	variables	variable	NOUN
cana-4039	171	22	.	.	PUNCT
cana-4039	172	1	this	this	DET
cana-4039	172	2	lesson	lesson	NOUN
cana-4039	172	3	investigates	investigate	VERB
cana-4039	172	4	situations	situation	NOUN
cana-4039	172	5	in	in	ADP
cana-4039	172	6	which	which	PRON
cana-4039	172	7	the	the	DET
cana-4039	172	8	answer	answer	NOUN
cana-4039	172	9	variable	variable	NOUN
cana-4039	172	10	(	(	PUNCT
cana-4039	172	11	a	a	DET
cana-4039	172	12	categorical	categorical	ADJ
cana-4039	172	13	random	random	ADJ
cana-4039	172	14	variable	variable	NOUN
cana-4039	172	15	)	)	PUNCT
cana-4039	172	16	has	have	VERB
cana-4039	172	17	just	just	ADV
cana-4039	172	18	two	two	NUM
cana-4039	172	19	possible	possible	ADJ
cana-4039	172	20	values	value	NOUN
cana-4039	172	21	.	.	PUNCT
cana-4039	173	1	this	this	DET
cana-4039	173	2	kind	kind	NOUN
cana-4039	173	3	of	of	ADP
cana-4039	173	4	data	data	NOUN
cana-4039	173	5	is	be	AUX
cana-4039	173	6	not	not	PART
cana-4039	173	7	seen	see	VERB
cana-4039	173	8	elsewhere	elsewhere	ADV
cana-4039	173	9	.	.	PUNCT
cana-4039	174	1	3.3.3	3.3.3	NUM
cana-4039	174	2	gaussian	gaussian	ADJ
cana-4039	174	3	naïve	naïve	ADJ
cana-4039	174	4	bayes	baye	NOUN
cana-4039	174	5	the	the	DET
cana-4039	174	6	dataset	dataset	NOUN
cana-4039	174	7	was	be	AUX
cana-4039	174	8	organised	organise	VERB
cana-4039	174	9	and	and	CCONJ
cana-4039	174	10	examined	examine	VERB
cana-4039	174	11	using	use	VERB
cana-4039	174	12	the	the	DET
cana-4039	174	13	gnb	gnb	PROPN
cana-4039	174	14	classification	classification	NOUN
cana-4039	174	15	algorithm	algorithm	NOUN
cana-4039	174	16	.	.	PUNCT
cana-4039	175	1	in	in	ADP
cana-4039	175	2	a	a	DET
cana-4039	175	3	probabilistic	probabilistic	ADJ
cana-4039	175	4	model	model	NOUN
cana-4039	175	5	based	base	VERB
cana-4039	175	6	on	on	ADP
cana-4039	175	7	bayes	bayes	PROPN
cana-4039	175	8	'	'	PART
cana-4039	175	9	theorem	theorem	NOUN
cana-4039	175	10	and	and	CCONJ
cana-4039	175	11	focused	focus	VERB
cana-4039	175	12	on	on	ADP
cana-4039	175	13	gnb	gnb	PROPN
cana-4039	175	14	,	,	PUNCT
cana-4039	175	15	characteristics	characteristic	NOUN
cana-4039	175	16	are	be	AUX
cana-4039	175	17	assumed	assume	VERB
cana-4039	175	18	to	to	PART
cana-4039	175	19	have	have	VERB
cana-4039	175	20	no	no	DET
cana-4039	175	21	effect	effect	NOUN
cana-4039	175	22	on	on	ADP
cana-4039	175	23	the	the	DET
cana-4039	175	24	class	class	NOUN
cana-4039	175	25	label	label	NOUN
cana-4039	175	26	.	.	PUNCT
cana-4039	176	1	this	this	DET
cana-4039	176	2	research	research	NOUN
cana-4039	176	3	primarily	primarily	ADV
cana-4039	176	4	aims	aim	VERB
cana-4039	176	5	to	to	PART
cana-4039	176	6	clarify	clarify	VERB
cana-4039	176	7	classification	classification	NOUN
cana-4039	176	8	concerns	concern	NOUN
cana-4039	176	9	,	,	PUNCT
cana-4039	176	10	demonstrating	demonstrate	VERB
cana-4039	176	11	that	that	SCONJ
cana-4039	176	12	gnb	gnb	PROPN
cana-4039	176	13	works	work	VERB
cana-4039	176	14	well	well	ADV
cana-4039	176	15	when	when	SCONJ
cana-4039	176	16	the	the	DET
cana-4039	176	17	attributes	attribute	NOUN
cana-4039	176	18	are	be	AUX
cana-4039	176	19	constantly	constantly	ADV
cana-4039	176	20	distributed	distribute	VERB
cana-4039	176	21	and	and	CCONJ
cana-4039	176	22	homogenous	homogenous	ADJ
cana-4039	176	23	.	.	PUNCT
cana-4039	177	1	d.	d.	PROPN
cana-4039	177	2	f.	f.	PROPN
cana-4039	177	3	m.	m.	PROPN
cana-4039	177	4	mohideen	mohideen	PROPN
cana-4039	177	5	et	et	PROPN
cana-4039	177	6	al	al	PROPN
cana-4039	177	7	.	.	PROPN
cana-4039	177	8	argue	argue	VERB
cana-4039	177	9	that	that	SCONJ
cana-4039	177	10	gnb	gnb	PROPN
cana-4039	177	11	is	be	AUX
cana-4039	177	12	an	an	DET
cana-4039	177	13	effective	effective	ADJ
cana-4039	177	14	object	object	NOUN
cana-4039	177	15	classification	classification	NOUN
cana-4039	177	16	approach	approach	NOUN
cana-4039	177	17	.	.	PUNCT
cana-4039	178	1	the	the	DET
cana-4039	178	2	aim	aim	NOUN
cana-4039	178	3	is	be	AUX
cana-4039	178	4	to	to	PART
cana-4039	178	5	place	place	VERB
cana-4039	178	6	each	each	DET
cana-4039	178	7	sample	sample	NOUN
cana-4039	178	8	into	into	ADP
cana-4039	178	9	the	the	DET
cana-4039	178	10	class	class	NOUN
cana-4039	178	11	with	with	ADP
cana-4039	178	12	the	the	DET
cana-4039	178	13	greatest	great	ADJ
cana-4039	178	14	posterior	posterior	ADJ
cana-4039	178	15	probability	probability	NOUN
cana-4039	178	16	once	once	SCONJ
cana-4039	178	17	it	it	PRON
cana-4039	178	18	has	have	AUX
cana-4039	178	19	been	be	AUX
cana-4039	178	20	determined	determine	VERB
cana-4039	178	21	that	that	SCONJ
cana-4039	178	22	voxel	voxel	PROPN
cana-4039	178	23	contributions	contribution	NOUN
cana-4039	178	24	are	be	AUX
cana-4039	178	25	conditionally	conditionally	ADV
cana-4039	178	26	independent	independent	ADJ
cana-4039	178	27	and	and	CCONJ
cana-4039	178	28	normally	normally	ADV
cana-4039	178	29	distributed	distribute	VERB
cana-4039	178	30	.	.	PUNCT
cana-4039	179	1	gnb	gnb	PROPN
cana-4039	179	2	decision	decision	NOUN
cana-4039	179	3	rule	rule	NOUN
cana-4039	179	4	for	for	ADP
cana-4039	179	5	each	each	DET
cana-4039	179	6	searchlight	searchlight	NOUN
cana-4039	179	7	s	s	PART
cana-4039	179	8	is	be	AUX
cana-4039	179	9	in	in	ADP
cana-4039	179	10	a	a	DET
cana-4039	179	11	discriminating	discriminate	VERB
cana-4039	179	12	function	function	NOUN
cana-4039	179	13	for	for	ADP
cana-4039	179	14	class	class	NOUN
cana-4039	179	15	k	k	PROPN
cana-4039	179	16	;	;	PUNCT
cana-4039	179	17	the	the	DET
cana-4039	179	18	searchlight	searchlight	NOUN
cana-4039	179	19	index	index	NOUN
cana-4039	179	20	is	be	AUX
cana-4039	179	21	excluded	exclude	VERB
cana-4039	179	22	for	for	ADP
cana-4039	179	23	simplicity	simplicity	NOUN
cana-4039	179	24	.	.	PUNCT
cana-4039	180	1	�	�	PROPN
cana-4039	180	2	̂	̂	VERB
cana-4039	180	3	�	�	NOUN
cana-4039	180	4	=	=	SYM
cana-4039	180	5	arg	arg	VERB
cana-4039	180	6	𝑚𝑎𝑥𝑘={𝑎1,𝑏}{𝛿𝑖	𝑚𝑎𝑥𝑘={𝑎1,𝑏}{𝛿𝑖	NUM
cana-4039	180	7	𝑘	𝑘	PRON
cana-4039	180	8	}	}	PUNCT
cana-4039	180	9	----------------(12	----------------(12	PROPN
cana-4039	180	10	)	)	PUNCT
cana-4039	180	11	𝛿𝑖	𝛿𝑖	ADP
cana-4039	180	12	𝑘	𝑘	NOUN
cana-4039	180	13	=	=	PUNCT
cana-4039	180	14	−	−	PROPN
cana-4039	180	15	∑	∑	PUNCT
cana-4039	180	16	(	(	PUNCT
cana-4039	180	17	(	(	PUNCT
cana-4039	180	18	𝐴𝑖𝑗	𝐴𝑖𝑗	PROPN
cana-4039	180	19	𝑇𝑒−	𝑇𝑒−	PROPN
cana-4039	180	20	�	�	SYM
cana-4039	180	21	̂	̂	NOUN
cana-4039	180	22	�	�	NOUN
cana-4039	180	23	𝑗	𝑗	PROPN
cana-4039	180	24	𝑘)2	𝑘)2	PROPN
cana-4039	180	25	2	2	NUM
cana-4039	180	26	�	�	PROPN
cana-4039	180	27	̂	̂	NOUN
cana-4039	180	28	�	�	NOUN
cana-4039	180	29	𝑗	𝑗	NOUN
cana-4039	180	30	2	2	NUM
cana-4039	180	31	)	)	PUNCT
cana-4039	180	32	+	+	CCONJ
cana-4039	180	33	log(𝑟𝑠)𝑣	log(𝑟𝑠)𝑣	NOUN
cana-4039	180	34	𝑗=1	𝑗=1	PROPN
cana-4039	180	35	------------(13	------------(13	ADJ
cana-4039	180	36	)	)	PUNCT
cana-4039	180	37	equation	equation	NOUN
cana-4039	180	38	(	(	PUNCT
cana-4039	180	39	12	12	NUM
cana-4039	180	40	)	)	PUNCT
cana-4039	180	41	is	be	AUX
cana-4039	180	42	directly	directly	ADV
cana-4039	180	43	applied	apply	VERB
cana-4039	180	44	in	in	ADP
cana-4039	180	45	the	the	DET
cana-4039	180	46	situation	situation	NOUN
cana-4039	180	47	with	with	ADP
cana-4039	180	48	more	more	ADJ
cana-4039	180	49	than	than	ADP
cana-4039	180	50	one	one	NUM
cana-4039	180	51	class	class	NOUN
cana-4039	180	52	in	in	ADP
cana-4039	180	53	binary	binary	ADJ
cana-4039	180	54	classification	classification	NOUN
cana-4039	180	55	with	with	ADP
cana-4039	180	56	classes	class	NOUN
cana-4039	180	57	{	{	PUNCT
cana-4039	180	58	a	a	PRON
cana-4039	180	59	,	,	PUNCT
cana-4039	180	60	b	b	NOUN
cana-4039	180	61	}	}	PUNCT
cana-4039	180	62	.	.	PUNCT
cana-4039	181	1	equation	equation	NOUN
cana-4039	181	2	(	(	PUNCT
cana-4039	181	3	13	13	NUM
cana-4039	181	4	)	)	PUNCT
cana-4039	181	5	makes	make	VERB
cana-4039	181	6	use	use	NOUN
cana-4039	181	7	of	of	ADP
cana-4039	181	8	the	the	DET
cana-4039	181	9	training	training	NOUN
cana-4039	181	10	set	set	VERB
cana-4039	181	11	to	to	PART
cana-4039	181	12	calculate	calculate	VERB
cana-4039	181	13	the	the	DET
cana-4039	181	14	mean	mean	ADJ
cana-4039	181	15	and	and	CCONJ
cana-4039	181	16	standard	standard	ADJ
cana-4039	181	17	deviation	deviation	NOUN
cana-4039	181	18	of	of	ADP
cana-4039	181	19	every	every	DET
cana-4039	181	20	voxel	voxel	PROPN
cana-4039	181	21	j	j	PROPN
cana-4039	181	22	,	,	PUNCT
cana-4039	181	23	�	�	PROPN
cana-4039	181	24	̂	̂	NOUN
cana-4039	181	25	�	�	NOUN
cana-4039	181	26	𝑗	𝑗	NOUN
cana-4039	181	27	𝑘.	𝑘.	NOUN
cana-4039	181	28	for	for	ADP
cana-4039	181	29	gnb	gnb	PROPN
cana-4039	181	30	used	use	VERB
cana-4039	181	31	in	in	ADP
cana-4039	181	32	a	a	DET
cana-4039	181	33	network	network	NOUN
cana-4039	181	34	of	of	ADP
cana-4039	181	35	multiple	multiple	ADJ
cana-4039	181	36	searchlights	searchlight	NOUN
cana-4039	181	37	,	,	PUNCT
cana-4039	181	38	the	the	DET
cana-4039	181	39	sparse	sparse	ADJ
cana-4039	181	40	binary	binary	NOUN
cana-4039	181	41	matrix	matrix	NOUN
cana-4039	181	42	𝑠	𝑠	PROPN
cana-4039	181	43	is	be	AUX
cana-4039	181	44	used	use	VERB
cana-4039	181	45	to	to	PART
cana-4039	181	46	sum	sum	VERB
cana-4039	181	47	voxel	voxel	PROPN
cana-4039	181	48	contributions	contribution	NOUN
cana-4039	181	49	in	in	ADP
cana-4039	181	50	parallel	parallel	NOUN
cana-4039	181	51	in	in	ADP
cana-4039	181	52	each	each	DET
cana-4039	181	53	searchlight	searchlight	NOUN
cana-4039	181	54	.	.	PUNCT
cana-4039	182	1	this	this	DET
cana-4039	182	2	matrix	matrix	NOUN
cana-4039	182	3	product	product	NOUN
cana-4039	182	4	enables	enable	VERB
cana-4039	182	5	to	to	PART
cana-4039	182	6	rewrite	rewrite	VERB
cana-4039	182	7	the	the	DET
cana-4039	182	8	above	above	ADJ
cana-4039	182	9	equation	equation	NOUN
cana-4039	182	10	:	:	PUNCT
cana-4039	182	11	𝐸𝑚,𝑠	𝐸𝑚,𝑠	PROPN
cana-4039	182	12	𝑘	𝑘	X
cana-4039	182	13	=	=	PROPN
cana-4039	182	14	−𝐹𝑚,𝑣	−𝐹𝑚,𝑣	PROPN
cana-4039	182	15	𝑘	𝑘	DET
cana-4039	182	16	𝑆𝑣,𝑠	𝑆𝑣,𝑠	PROPN
cana-4039	182	17	+	+	CCONJ
cana-4039	182	18	log(𝑟𝑠	log(𝑟𝑠	ADJ
cana-4039	182	19	)	)	PUNCT
cana-4039	182	20	-------------------(14	-------------------(14	NOUN
cana-4039	182	21	)	)	PUNCT
cana-4039	182	22	voxel	voxel	PROPN
cana-4039	182	23	-	-	ADJ
cana-4039	182	24	wise	wise	ADJ
cana-4039	182	25	additions	addition	NOUN
cana-4039	182	26	to	to	ADP
cana-4039	182	27	equation	equation	NOUN
cana-4039	182	28	(	(	PUNCT
cana-4039	182	29	14	14	NUM
cana-4039	182	30	)	)	PUNCT
cana-4039	182	31	are	be	AUX
cana-4039	182	32	the	the	DET
cana-4039	182	33	squared	squared	ADJ
cana-4039	182	34	z	z	NOUN
cana-4039	182	35	-	-	PUNCT
cana-4039	182	36	score	score	NOUN
cana-4039	182	37	distances	distance	NOUN
cana-4039	182	38	of	of	ADP
cana-4039	182	39	test	test	NOUN
cana-4039	182	40	set	set	VERB
cana-4039	182	41	sample	sample	NOUN
cana-4039	182	42	i	i	PRON
cana-4039	182	43	,	,	PUNCT
cana-4039	182	44	or	or	CCONJ
cana-4039	182	45	matrix	matrix	VERB
cana-4039	182	46	𝐹𝑚,𝑣	𝐹𝑚,𝑣	NOUN
cana-4039	182	47	𝑘	𝑘	ADP
cana-4039	182	48	𝑆𝑣,𝑠.	𝑆𝑣,𝑠.	DET
cana-4039	182	49	every	every	DET
cana-4039	182	50	searchlight	searchlight	NOUN
cana-4039	182	51	that	that	PRON
cana-4039	182	52	a	a	DET
cana-4039	182	53	voxel	voxel	PROPN
cana-4039	182	54	is	be	AUX
cana-4039	182	55	a	a	DET
cana-4039	182	56	member	member	NOUN
cana-4039	182	57	of	of	ADP
cana-4039	182	58	contributes	contribute	VERB
cana-4039	182	59	the	the	DET
cana-4039	182	60	same	same	ADJ
cana-4039	182	61	.	.	PUNCT
cana-4039	183	1	the	the	DET
cana-4039	183	2	discriminant	discriminant	ADJ
cana-4039	183	3	functions	function	NOUN
cana-4039	183	4	for	for	ADP
cana-4039	183	5	class	class	NOUN
cana-4039	183	6	k	k	PROPN
cana-4039	183	7	are	be	AUX
cana-4039	183	8	the	the	DET
cana-4039	183	9	matrix	matrix	NOUN
cana-4039	183	10	𝐸𝑚,𝑠	𝐸𝑚,𝑠	VERB
cana-4039	183	11	𝑘	𝑘	PROPN
cana-4039	183	12	for	for	ADP
cana-4039	183	13	every	every	DET
cana-4039	183	14	sample	sample	NOUN
cana-4039	183	15	gathered	gather	VERB
cana-4039	183	16	by	by	ADP
cana-4039	183	17	every	every	DET
cana-4039	183	18	searchlight	searchlight	NOUN
cana-4039	183	19	.	.	PUNCT
cana-4039	184	1	3.3.4	3.3.4	NUM
cana-4039	184	2	random	random	ADJ
cana-4039	184	3	forest	forest	NOUN
cana-4039	184	4	the	the	DET
cana-4039	184	5	classification	classification	NOUN
cana-4039	184	6	approach	approach	NOUN
cana-4039	184	7	used	use	VERB
cana-4039	184	8	in	in	ADP
cana-4039	184	9	this	this	DET
cana-4039	184	10	research	research	NOUN
cana-4039	184	11	largely	largely	ADV
cana-4039	184	12	depends	depend	VERB
cana-4039	184	13	on	on	ADP
cana-4039	184	14	random	random	ADJ
cana-4039	184	15	forest	forest	NOUN
cana-4039	184	16	(	(	PUNCT
cana-4039	184	17	rf	rf	NOUN
cana-4039	184	18	)	)	PUNCT
cana-4039	184	19	to	to	PART
cana-4039	184	20	analyse	analyse	VERB
cana-4039	184	21	and	and	CCONJ
cana-4039	184	22	arrange	arrange	NOUN
cana-4039	184	23	data	datum	NOUN
cana-4039	184	24	.	.	PUNCT
cana-4039	185	1	while	while	SCONJ
cana-4039	185	2	training	training	NOUN
cana-4039	185	3	,	,	PUNCT
cana-4039	185	4	rf	rf	PRON
cana-4039	185	5	creates	create	VERB
cana-4039	185	6	a	a	DET
cana-4039	185	7	large	large	ADJ
cana-4039	185	8	number	number	NOUN
cana-4039	185	9	of	of	ADP
cana-4039	185	10	decision	decision	NOUN
cana-4039	185	11	trees	tree	NOUN
cana-4039	185	12	.	.	PUNCT
cana-4039	186	1	this	this	DET
cana-4039	186	2	strategy	strategy	NOUN
cana-4039	186	3	is	be	AUX
cana-4039	186	4	referred	refer	VERB
cana-4039	186	5	to	to	ADP
cana-4039	186	6	as	as	ADP
cana-4039	186	7	ensemble	ensemble	ADJ
cana-4039	186	8	learning	learning	NOUN
cana-4039	186	9	.	.	PUNCT
cana-4039	187	1	decision	decision	NOUN
cana-4039	187	2	tree	tree	NOUN
cana-4039	187	3	classifiers	classifier	NOUN
cana-4039	187	4	outperform	outperform	VERB
cana-4039	187	5	single	single	ADJ
cana-4039	187	6	-	-	PUNCT
cana-4039	187	7	stage	stage	NOUN
cana-4039	187	8	models	model	NOUN
cana-4039	187	9	.	.	PUNCT
cana-4039	188	1	y.	y.	PROPN
cana-4039	188	2	asim	asim	PROPN
cana-4039	188	3	et	et	PROPN
cana-4039	189	1	al	al	PROPN
cana-4039	189	2	.	.	PROPN
cana-4039	190	1	claim	claim	VERB
cana-4039	190	2	that	that	SCONJ
cana-4039	190	3	decision	decision	NOUN
cana-4039	190	4	tree	tree	NOUN
cana-4039	190	5	classifiers	classifier	NOUN
cana-4039	190	6	make	make	VERB
cana-4039	190	7	decisions	decision	NOUN
cana-4039	190	8	at	at	ADP
cana-4039	190	9	several	several	ADJ
cana-4039	190	10	levels	level	NOUN
cana-4039	190	11	.	.	PUNCT
cana-4039	191	1	decision	decision	NOUN
cana-4039	191	2	tree	tree	NOUN
cana-4039	191	3	classifiers	classifier	NOUN
cana-4039	191	4	and	and	CCONJ
cana-4039	191	5	multi	multi	ADJ
cana-4039	191	6	-	-	ADJ
cana-4039	191	7	level	level	ADJ
cana-4039	191	8	classifiers	classifier	NOUN
cana-4039	191	9	are	be	AUX
cana-4039	191	10	two	two	NUM
cana-4039	191	11	of	of	ADP
cana-4039	191	12	the	the	DET
cana-4039	191	13	numerous	numerous	ADJ
cana-4039	191	14	names	name	NOUN
cana-4039	191	15	given	give	VERB
cana-4039	191	16	to	to	ADP
cana-4039	191	17	them	they	PRON
cana-4039	191	18	.	.	PUNCT
cana-4039	192	1	finding	find	VERB
cana-4039	192	2	appropriate	appropriate	ADJ
cana-4039	192	3	features	feature	NOUN
cana-4039	192	4	to	to	PART
cana-4039	192	5	break	break	VERB
cana-4039	192	6	classes	class	NOUN
cana-4039	192	7	at	at	ADP
cana-4039	192	8	each	each	DET
cana-4039	192	9	non	non	ADJ
cana-4039	192	10	-	-	ADJ
cana-4039	192	11	terminal	terminal	ADJ
cana-4039	192	12	node	node	NOUN
cana-4039	192	13	is	be	AUX
cana-4039	192	14	one	one	NUM
cana-4039	192	15	of	of	ADP
cana-4039	192	16	the	the	DET
cana-4039	192	17	most	most	ADV
cana-4039	192	18	difficult	difficult	ADJ
cana-4039	192	19	difficulties	difficulty	NOUN
cana-4039	192	20	in	in	ADP
cana-4039	192	21	developing	develop	VERB
cana-4039	192	22	a	a	DET
cana-4039	192	23	decision	decision	NOUN
cana-4039	192	24	tree	tree	NOUN
cana-4039	192	25	classifier	classifier	NOUN
cana-4039	192	26	.	.	PUNCT
cana-4039	193	1	aiming	aim	VERB
cana-4039	193	2	for	for	ADP
cana-4039	193	3	optimal	optimal	ADJ
cana-4039	193	4	classification	classification	NOUN
cana-4039	193	5	accuracy	accuracy	NOUN
cana-4039	193	6	with	with	ADP
cana-4039	193	7	minimum	minimum	ADJ
cana-4039	193	8	computations	computation	NOUN
cana-4039	193	9	is	be	AUX
cana-4039	193	10	an	an	DET
cana-4039	193	11	ideal	ideal	ADJ
cana-4039	193	12	design	design	NOUN
cana-4039	193	13	aim	aim	NOUN
cana-4039	193	14	for	for	ADP
cana-4039	193	15	decision	decision	NOUN
cana-4039	193	16	tree	tree	NOUN
cana-4039	193	17	classifiers	classifier	NOUN
cana-4039	193	18	.	.	PUNCT
cana-4039	194	1	decision	decision	NOUN
cana-4039	194	2	tree	tree	NOUN
cana-4039	194	3	classifiers	classifier	NOUN
cana-4039	194	4	contain	contain	VERB
cana-4039	194	5	binary	binary	ADJ
cana-4039	194	6	tree	tree	NOUN
cana-4039	194	7	classifiers	classifier	NOUN
cana-4039	194	8	as	as	ADP
cana-4039	194	9	a	a	DET
cana-4039	194	10	subset	subset	NOUN
cana-4039	194	11	.	.	PUNCT
cana-4039	195	1	the	the	DET
cana-4039	195	2	criteria	criterion	NOUN
cana-4039	195	3	for	for	ADP
cana-4039	195	4	separation	separation	NOUN
cana-4039	195	5	is	be	AUX
cana-4039	195	6	altered	alter	VERB
cana-4039	195	7	depending	depend	VERB
cana-4039	195	8	on	on	ADP
cana-4039	195	9	the	the	DET
cana-4039	195	10	application	application	NOUN
cana-4039	195	11	.	.	PUNCT
cana-4039	196	1	terminal	terminal	ADJ
cana-4039	196	2	nodes	node	NOUN
cana-4039	196	3	are	be	AUX
cana-4039	196	4	nodes	node	NOUN
cana-4039	196	5	communications	communication	NOUN
cana-4039	196	6	on	on	ADP
cana-4039	196	7	applied	apply	VERB
cana-4039	196	8	nonlinear	nonlinear	ADJ
cana-4039	196	9	analysis	analysis	NOUN
cana-4039	196	10	issn	issn	NOUN
cana-4039	196	11	:	:	PUNCT
cana-4039	196	12	1074	1074	NUM
cana-4039	196	13	-	-	PUNCT
cana-4039	196	14	133x	133x	NUM
cana-4039	196	15	vol	vol	NOUN
cana-4039	196	16	32	32	NUM
cana-4039	196	17	no	no	NOUN
cana-4039	196	18	.	.	PUNCT
cana-4039	197	1	9s	9s	NUM
cana-4039	197	2	(	(	PUNCT
cana-4039	197	3	2025	2025	NUM
cana-4039	197	4	)	)	PUNCT
cana-4039	197	5	917	917	NUM
cana-4039	197	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	197	7	that	that	PRON
cana-4039	197	8	give	give	VERB
cana-4039	197	9	just	just	ADV
cana-4039	197	10	one	one	NUM
cana-4039	197	11	class	class	NOUN
cana-4039	197	12	.	.	PUNCT
cana-4039	198	1	gini	gini	PROPN
cana-4039	198	2	,	,	PUNCT
cana-4039	198	3	entropy	entropy	PROPN
cana-4039	198	4	,	,	PUNCT
cana-4039	198	5	and	and	CCONJ
cana-4039	198	6	twoing	twoing	NOUN
cana-4039	198	7	are	be	AUX
cana-4039	198	8	three	three	NUM
cana-4039	198	9	often	often	ADV
cana-4039	198	10	used	use	VERB
cana-4039	198	11	techniques	technique	NOUN
cana-4039	198	12	to	to	PART
cana-4039	198	13	tree	tree	NOUN
cana-4039	198	14	construction	construction	NOUN
cana-4039	198	15	.	.	PUNCT
cana-4039	199	1	entropy	entropy	PROPN
cana-4039	199	2	is	be	AUX
cana-4039	199	3	a	a	DET
cana-4039	199	4	key	key	ADJ
cana-4039	199	5	metric	metric	NOUN
cana-4039	199	6	of	of	ADP
cana-4039	199	7	data	datum	NOUN
cana-4039	199	8	volume	volume	NOUN
cana-4039	199	9	in	in	ADP
cana-4039	199	10	the	the	DET
cana-4039	199	11	first	first	ADJ
cana-4039	199	12	method	method	NOUN
cana-4039	199	13	.	.	PUNCT
cana-4039	200	1	equation	equation	NOUN
cana-4039	200	2	15	15	NUM
cana-4039	200	3	depicts	depict	VERB
cana-4039	200	4	the	the	DET
cana-4039	200	5	predicted	predict	VERB
cana-4039	200	6	data	datum	NOUN
cana-4039	200	7	needed	need	VERB
cana-4039	200	8	for	for	ADP
cana-4039	200	9	categorisation	categorisation	NOUN
cana-4039	200	10	using	use	VERB
cana-4039	200	11	an	an	DET
cana-4039	200	12	observation	observation	NOUN
cana-4039	200	13	vector	vector	NOUN
cana-4039	200	14	d.	d.	PROPN
cana-4039	200	15	𝐼𝑛𝑓𝑜(𝐷	𝐼𝑛𝑓𝑜(𝐷	PROPN
cana-4039	200	16	)	)	PUNCT
cana-4039	201	1	=	=	SYM
cana-4039	201	2	−	−	PROPN
cana-4039	201	3	∑	∑	PUNCT
cana-4039	201	4	𝑝𝑖	𝑝𝑖	NOUN
cana-4039	201	5	log(𝑝𝑖	log(𝑝𝑖	NOUN
cana-4039	201	6	)	)	PUNCT
cana-4039	201	7	𝑛	𝑛	PRON
cana-4039	201	8	𝑖=1	𝑖=1	PROPN
cana-4039	201	9	-------(15	-------(15	PROPN
cana-4039	201	10	)	)	PUNCT
cana-4039	201	11	one	one	NUM
cana-4039	201	12	of	of	ADP
cana-4039	201	13	the	the	DET
cana-4039	201	14	most	most	ADV
cana-4039	201	15	common	common	ADJ
cana-4039	201	16	splitting	splitting	NOUN
cana-4039	201	17	criteria	criterion	NOUN
cana-4039	201	18	is	be	AUX
cana-4039	201	19	one	one	NUM
cana-4039	201	20	that	that	PRON
cana-4039	201	21	splits	split	VERB
cana-4039	201	22	classes	class	NOUN
cana-4039	201	23	evenly	evenly	ADV
cana-4039	201	24	while	while	SCONJ
cana-4039	201	25	optimising	optimise	VERB
cana-4039	201	26	information	information	NOUN
cana-4039	201	27	gathering	gathering	NOUN
cana-4039	201	28	across	across	ADP
cana-4039	201	29	parent	parent	NOUN
cana-4039	201	30	and	and	CCONJ
cana-4039	201	31	child	child	NOUN
cana-4039	201	32	nodes	node	NOUN
cana-4039	201	33	.	.	PUNCT
cana-4039	202	1	to	to	PART
cana-4039	202	2	fulfil	fulfil	VERB
cana-4039	202	3	certain	certain	ADJ
cana-4039	202	4	objectives	objective	NOUN
cana-4039	202	5	,	,	PUNCT
cana-4039	202	6	data	datum	NOUN
cana-4039	202	7	points	point	NOUN
cana-4039	202	8	are	be	AUX
cana-4039	202	9	placed	place	VERB
cana-4039	202	10	in	in	ADP
cana-4039	202	11	the	the	DET
cana-4039	202	12	most	most	ADV
cana-4039	202	13	optimum	optimum	ADJ
cana-4039	202	14	sequence	sequence	NOUN
cana-4039	202	15	possible	possible	ADJ
cana-4039	202	16	.	.	PUNCT
cana-4039	203	1	this	this	PRON
cana-4039	203	2	is	be	AUX
cana-4039	203	3	when	when	SCONJ
cana-4039	203	4	the	the	DET
cana-4039	203	5	understanding	understanding	NOUN
cana-4039	203	6	of	of	ADP
cana-4039	203	7	gini	gini	PROPN
cana-4039	203	8	comes	come	VERB
cana-4039	203	9	in	in	ADP
cana-4039	203	10	handy	handy	ADJ
cana-4039	203	11	.	.	PUNCT
cana-4039	204	1	the	the	DET
cana-4039	204	2	gini	gini	PROPN
cana-4039	204	3	impurity	impurity	NOUN
cana-4039	204	4	,	,	PUNCT
cana-4039	204	5	based	base	VERB
cana-4039	204	6	on	on	ADP
cana-4039	204	7	priors	prior	NOUN
cana-4039	204	8	and	and	CCONJ
cana-4039	204	9	class	class	NOUN
cana-4039	204	10	distribution	distribution	NOUN
cana-4039	204	11	,	,	PUNCT
cana-4039	204	12	calculates	calculate	VERB
cana-4039	204	13	the	the	DET
cana-4039	204	14	likelihood	likelihood	NOUN
cana-4039	204	15	of	of	ADP
cana-4039	204	16	incorrectly	incorrectly	ADV
cana-4039	204	17	categorising	categorise	VERB
cana-4039	204	18	a	a	DET
cana-4039	204	19	randomly	randomly	ADV
cana-4039	204	20	selected	select	VERB
cana-4039	204	21	class	class	NOUN
cana-4039	204	22	.	.	PUNCT
cana-4039	205	1	the	the	DET
cana-4039	205	2	gini	gini	PROPN
cana-4039	205	3	index	index	NOUN
cana-4039	205	4	is	be	AUX
cana-4039	205	5	a	a	DET
cana-4039	205	6	strategy	strategy	NOUN
cana-4039	205	7	for	for	ADP
cana-4039	205	8	enriching	enrich	VERB
cana-4039	205	9	data	datum	NOUN
cana-4039	205	10	,	,	PUNCT
cana-4039	205	11	defined	define	VERB
cana-4039	205	12	as	as	SCONJ
cana-4039	205	13	follows	follow	VERB
cana-4039	205	14	:	:	PUNCT
cana-4039	205	15	𝐺(𝐷	𝐺(𝐷	NOUN
cana-4039	205	16	)	)	PUNCT
cana-4039	205	17	=	=	SYM
cana-4039	206	1	1	1	NUM
cana-4039	206	2	−	−	NOUN
cana-4039	206	3	∑	∑	PUNCT
cana-4039	206	4	𝑝1	𝑝1	NOUN
cana-4039	206	5	𝑛	𝑛	PROPN
cana-4039	206	6	𝑖=1	𝑖=1	PROPN
cana-4039	206	7	------------(16	------------(16	PROPN
cana-4039	206	8	)	)	PUNCT
cana-4039	206	9	under	under	ADP
cana-4039	206	10	some	some	DET
cana-4039	206	11	conditions	condition	NOUN
cana-4039	206	12	,	,	PUNCT
cana-4039	206	13	optimal	optimal	ADJ
cana-4039	206	14	splitting	splitting	NOUN
cana-4039	206	15	has	have	AUX
cana-4039	206	16	been	be	AUX
cana-4039	206	17	determined	determine	VERB
cana-4039	206	18	in	in	ADP
cana-4039	206	19	a	a	DET
cana-4039	206	20	different	different	ADJ
cana-4039	206	21	method	method	NOUN
cana-4039	206	22	using	use	VERB
cana-4039	206	23	the	the	DET
cana-4039	206	24	twoing	twoing	NOUN
cana-4039	206	25	division	division	NOUN
cana-4039	206	26	approach	approach	NOUN
cana-4039	206	27	.	.	PUNCT
cana-4039	207	1	it	it	PRON
cana-4039	207	2	is	be	AUX
cana-4039	207	3	able	able	ADJ
cana-4039	207	4	to	to	PART
cana-4039	207	5	generate	generate	VERB
cana-4039	207	6	more	more	ADJ
cana-4039	207	7	sensible	sensible	ADJ
cana-4039	207	8	splits	split	NOUN
cana-4039	207	9	by	by	ADP
cana-4039	207	10	placing	place	VERB
cana-4039	207	11	the	the	DET
cana-4039	207	12	related	relate	VERB
cana-4039	207	13	classes	class	NOUN
cana-4039	207	14	at	at	ADP
cana-4039	207	15	the	the	DET
cana-4039	207	16	top	top	NOUN
cana-4039	207	17	of	of	ADP
cana-4039	207	18	the	the	DET
cana-4039	207	19	tree	tree	NOUN
cana-4039	207	20	.	.	PUNCT
cana-4039	208	1	at	at	ADP
cana-4039	208	2	the	the	DET
cana-4039	208	3	most	most	ADV
cana-4039	208	4	basic	basic	ADJ
cana-4039	208	5	level	level	NOUN
cana-4039	208	6	,	,	PUNCT
cana-4039	208	7	the	the	DET
cana-4039	208	8	tree	tree	NOUN
cana-4039	208	9	represents	represent	VERB
cana-4039	208	10	categorisation	categorisation	NOUN
cana-4039	208	11	.	.	PUNCT
cana-4039	209	1	towing	tow	VERB
cana-4039	209	2	requires	require	VERB
cana-4039	209	3	breaking	break	VERB
cana-4039	209	4	classes	class	NOUN
cana-4039	209	5	into	into	ADP
cana-4039	209	6	two	two	NUM
cana-4039	209	7	superclasses	superclass	NOUN
cana-4039	209	8	with	with	ADP
cana-4039	209	9	the	the	DET
cana-4039	209	10	same	same	ADJ
cana-4039	209	11	amount	amount	NOUN
cana-4039	209	12	of	of	ADP
cana-4039	209	13	cases	case	NOUN
cana-4039	209	14	.	.	PUNCT
cana-4039	210	1	many	many	ADJ
cana-4039	210	2	superclass	superclass	NOUN
cana-4039	210	3	specialists	specialist	NOUN
cana-4039	210	4	believe	believe	VERB
cana-4039	210	5	that	that	SCONJ
cana-4039	210	6	the	the	DET
cana-4039	210	7	split	split	NOUN
cana-4039	210	8	at	at	ADP
cana-4039	210	9	the	the	DET
cana-4039	210	10	current	current	ADJ
cana-4039	210	11	node	node	NOUN
cana-4039	210	12	is	be	AUX
cana-4039	210	13	ideal	ideal	ADJ
cana-4039	210	14	.	.	PUNCT
cana-4039	211	1	for	for	ADP
cana-4039	211	2	each	each	DET
cana-4039	211	3	child	child	NOUN
cana-4039	211	4	node	node	NOUN
cana-4039	211	5	,	,	PUNCT
cana-4039	211	6	this	this	PRON
cana-4039	211	7	implies	imply	VERB
cana-4039	211	8	fewer	few	ADJ
cana-4039	211	9	class	class	NOUN
cana-4039	211	10	selections	selection	NOUN
cana-4039	211	11	and	and	CCONJ
cana-4039	211	12	impurity	impurity	NOUN
cana-4039	211	13	possibilities	possibility	NOUN
cana-4039	211	14	.	.	PUNCT
cana-4039	212	1	𝐺𝑎𝑖𝑛(𝐴	𝐺𝑎𝑖𝑛(𝐴	NUM
cana-4039	212	2	)	)	PUNCT
cana-4039	212	3	=	=	SYM
cana-4039	212	4	𝐼𝑛𝑓𝑜(𝐸	𝐼𝑛𝑓𝑜(𝐸	PROPN
cana-4039	212	5	)	)	PUNCT
cana-4039	212	6	−	−	PROPN
cana-4039	212	7	𝐼𝑛𝑓𝑜𝐴1(𝐸	𝐼𝑛𝑓𝑜𝐴1(𝐸	PROPN
cana-4039	212	8	)	)	PUNCT
cana-4039	212	9	-----------------(17	-----------------(17	PROPN
cana-4039	212	10	)	)	PUNCT
cana-4039	212	11	𝐼𝑛𝑓𝑜𝐴1(𝐸	𝐼𝑛𝑓𝑜𝐴1(𝐸	PROPN
cana-4039	212	12	)	)	PUNCT
cana-4039	212	13	=	=	PUNCT
cana-4039	212	14	∑	∑	PUNCT
cana-4039	212	15	𝐸𝑖	𝐸𝑖	PROPN
cana-4039	212	16	𝐸	𝐸	PROPN
cana-4039	212	17	×𝑛	×𝑛	ADJ
cana-4039	212	18	𝑖=1	𝑖=1	PROPN
cana-4039	212	19	𝐼𝑛𝑓𝑜(𝐸	𝐼𝑛𝑓𝑜(𝐸	PROPN
cana-4039	212	20	)	)	PUNCT
cana-4039	212	21	---------------(18	---------------(18	ADV
cana-4039	212	22	)	)	PUNCT
cana-4039	212	23	depending	depend	VERB
cana-4039	212	24	on	on	ADP
cana-4039	212	25	the	the	DET
cana-4039	212	26	splitting	splitting	NOUN
cana-4039	212	27	strategy	strategy	NOUN
cana-4039	212	28	utilized	utilize	VERB
cana-4039	212	29	obtain	obtain	VERB
cana-4039	212	30	𝐼𝑛𝑓𝑜(𝐸	𝐼𝑛𝑓𝑜(𝐸	NOUN
cana-4039	212	31	)	)	PUNCT
cana-4039	212	32	from	from	ADP
cana-4039	212	33	any	any	PRON
cana-4039	212	34	of	of	ADP
cana-4039	212	35	the	the	DET
cana-4039	212	36	above	above	ADJ
cana-4039	212	37	equations	equation	NOUN
cana-4039	212	38	.	.	PUNCT
cana-4039	213	1	equation	equation	NOUN
cana-4039	213	2	(	(	PUNCT
cana-4039	213	3	18	18	NUM
cana-4039	213	4	)	)	PUNCT
cana-4039	213	5	computes	compute	VERB
cana-4039	213	6	𝐼𝑛𝑓𝑜𝐴1(𝐸	𝐼𝑛𝑓𝑜𝐴1(𝐸	PROPN
cana-4039	213	7	)	)	PUNCT
cana-4039	213	8	where	where	SCONJ
cana-4039	213	9	𝑛is	𝑛is	VERB
cana-4039	213	10	the	the	DET
cana-4039	213	11	weight	weight	NOUN
cana-4039	213	12	of	of	ADP
cana-4039	213	13	the	the	DET
cana-4039	213	14	i	i	PROPN
cana-4039	213	15	-	-	PUNCT
cana-4039	213	16	th	th	X
cana-4039	213	17	split	split	NOUN
cana-4039	213	18	and	and	CCONJ
cana-4039	213	19	discrete	discrete	ADJ
cana-4039	213	20	values	value	NOUN
cana-4039	213	21	of	of	ADP
cana-4039	213	22	attribute	attribute	NOUN
cana-4039	213	23	a.	a.	NOUN
cana-4039	213	24	3.4	3.4	NUM
cana-4039	213	25	fusion	fusion	NOUN
cana-4039	213	26	method	method	NOUN
cana-4039	213	27	to	to	PART
cana-4039	213	28	build	build	VERB
cana-4039	213	29	a	a	DET
cana-4039	213	30	more	more	ADV
cana-4039	213	31	robust	robust	ADJ
cana-4039	213	32	and	and	CCONJ
cana-4039	213	33	accurate	accurate	ADJ
cana-4039	213	34	model	model	NOUN
cana-4039	213	35	,	,	PUNCT
cana-4039	213	36	ml	ml	PROPN
cana-4039	213	37	uses	use	VERB
cana-4039	213	38	the	the	DET
cana-4039	213	39	fusion	fusion	NOUN
cana-4039	213	40	approach	approach	NOUN
cana-4039	213	41	,	,	PUNCT
cana-4039	213	42	which	which	PRON
cana-4039	213	43	combines	combine	VERB
cana-4039	213	44	the	the	DET
cana-4039	213	45	outputs	output	NOUN
cana-4039	213	46	of	of	ADP
cana-4039	213	47	many	many	ADJ
cana-4039	213	48	classifiers	classifier	NOUN
cana-4039	213	49	.	.	PUNCT
cana-4039	214	1	voting	voting	NOUN
cana-4039	214	2	,	,	PUNCT
cana-4039	214	3	stacking	stacking	NOUN
cana-4039	214	4	,	,	PUNCT
cana-4039	214	5	and	and	CCONJ
cana-4039	214	6	weighted	weight	VERB
cana-4039	214	7	averaging	averaging	NOUN
cana-4039	214	8	are	be	AUX
cana-4039	214	9	examples	example	NOUN
cana-4039	214	10	of	of	ADP
cana-4039	214	11	many	many	ADJ
cana-4039	214	12	fusion	fusion	NOUN
cana-4039	214	13	methods	method	NOUN
cana-4039	214	14	.	.	PUNCT
cana-4039	215	1	the	the	DET
cana-4039	215	2	voting	voting	NOUN
cana-4039	215	3	method	method	NOUN
cana-4039	215	4	produces	produce	VERB
cana-4039	215	5	the	the	DET
cana-4039	215	6	final	final	ADJ
cana-4039	215	7	forecast	forecast	NOUN
cana-4039	215	8	by	by	ADP
cana-4039	215	9	adding	add	VERB
cana-4039	215	10	up	up	ADP
cana-4039	215	11	the	the	DET
cana-4039	215	12	forecasts	forecast	NOUN
cana-4039	215	13	from	from	ADP
cana-4039	215	14	each	each	DET
cana-4039	215	15	classifier	classifier	NOUN
cana-4039	215	16	and	and	CCONJ
cana-4039	215	17	selecting	select	VERB
cana-4039	215	18	the	the	DET
cana-4039	215	19	class	class	NOUN
cana-4039	215	20	with	with	ADP
cana-4039	215	21	the	the	DET
cana-4039	215	22	most	most	ADJ
cana-4039	215	23	votes	vote	NOUN
cana-4039	215	24	.	.	PUNCT
cana-4039	216	1	by	by	ADP
cana-4039	216	2	feeding	feed	VERB
cana-4039	216	3	the	the	DET
cana-4039	216	4	output	output	NOUN
cana-4039	216	5	of	of	ADP
cana-4039	216	6	every	every	DET
cana-4039	216	7	classifier	classifier	NOUN
cana-4039	216	8	into	into	ADP
cana-4039	216	9	a	a	DET
cana-4039	216	10	meta	meta	ADJ
cana-4039	216	11	-	-	PUNCT
cana-4039	216	12	model	model	NOUN
cana-4039	216	13	,	,	PUNCT
cana-4039	216	14	stacking	stack	VERB
cana-4039	216	15	allows	allow	VERB
cana-4039	216	16	to	to	PART
cana-4039	216	17	learn	learn	VERB
cana-4039	216	18	an	an	DET
cana-4039	216	19	ideal	ideal	ADJ
cana-4039	216	20	model	model	NOUN
cana-4039	216	21	that	that	PRON
cana-4039	216	22	best	well	ADV
cana-4039	216	23	combines	combine	VERB
cana-4039	216	24	the	the	DET
cana-4039	216	25	output	output	NOUN
cana-4039	216	26	of	of	ADP
cana-4039	216	27	thousands	thousand	NOUN
cana-4039	216	28	of	of	ADP
cana-4039	216	29	classifiers	classifier	NOUN
cana-4039	216	30	.	.	PUNCT
cana-4039	217	1	weighted	weight	VERB
cana-4039	217	2	averaging	average	VERB
cana-4039	217	3	gives	give	VERB
cana-4039	217	4	more	more	ADJ
cana-4039	217	5	weight	weight	NOUN
cana-4039	217	6	to	to	ADP
cana-4039	217	7	more	more	ADV
cana-4039	217	8	accurate	accurate	ADJ
cana-4039	217	9	models	model	NOUN
cana-4039	217	10	by	by	ADP
cana-4039	217	11	assigning	assign	VERB
cana-4039	217	12	different	different	ADJ
cana-4039	217	13	weights	weight	NOUN
cana-4039	217	14	to	to	ADP
cana-4039	217	15	the	the	DET
cana-4039	217	16	output	output	NOUN
cana-4039	217	17	of	of	ADP
cana-4039	217	18	every	every	DET
cana-4039	217	19	classifier	classifier	NOUN
cana-4039	217	20	.	.	PUNCT
cana-4039	218	1	there	there	PRON
cana-4039	218	2	are	be	VERB
cana-4039	218	3	various	various	ADJ
cana-4039	218	4	benefits	benefit	NOUN
cana-4039	218	5	of	of	ADP
cana-4039	218	6	utilizing	utilize	VERB
cana-4039	218	7	fuse	fuse	NOUN
cana-4039	218	8	ml	ml	NOUN
cana-4039	218	9	.	.	NOUN
cana-4039	218	10	•	•	NUM
cana-4039	218	11	better	well	ADJ
cana-4039	218	12	and	and	CCONJ
cana-4039	218	13	more	more	ADV
cana-4039	218	14	favorable	favorable	ADJ
cana-4039	218	15	results	result	NOUN
cana-4039	218	16	.	.	PUNCT
cana-4039	219	1	by	by	ADP
cana-4039	219	2	mixing	mix	VERB
cana-4039	219	3	the	the	DET
cana-4039	219	4	strengths	strength	NOUN
cana-4039	219	5	of	of	ADP
cana-4039	219	6	multiple	multiple	ADJ
cana-4039	219	7	methodologies	methodology	NOUN
cana-4039	219	8	,	,	PUNCT
cana-4039	219	9	one	one	NUM
cana-4039	219	10	decreases	decrease	VERB
cana-4039	219	11	the	the	DET
cana-4039	219	12	likelihood	likelihood	NOUN
cana-4039	219	13	of	of	ADP
cana-4039	219	14	overfitting	overfitte	VERB
cana-4039	219	15	as	as	ADV
cana-4039	219	16	well	well	ADV
cana-4039	219	17	as	as	ADP
cana-4039	219	18	the	the	DET
cana-4039	219	19	capability	capability	NOUN
cana-4039	219	20	of	of	ADP
cana-4039	219	21	the	the	DET
cana-4039	219	22	model	model	NOUN
cana-4039	219	23	to	to	PART
cana-4039	219	24	generalize	generalize	VERB
cana-4039	219	25	to	to	ADP
cana-4039	219	26	new	new	ADJ
cana-4039	219	27	information	information	NOUN
cana-4039	219	28	.	.	PUNCT
cana-4039	220	1	•	•	NUM
cana-4039	220	2	higher	high	ADJ
cana-4039	220	3	resilience	resilience	NOUN
cana-4039	220	4	to	to	PART
cana-4039	220	5	stress	stress	NOUN
cana-4039	220	6	:	:	PUNCT
cana-4039	220	7	there	there	PRON
cana-4039	220	8	are	be	VERB
cana-4039	220	9	hazards	hazard	NOUN
cana-4039	220	10	to	to	PART
cana-4039	220	11	use	use	VERB
cana-4039	220	12	a	a	DET
cana-4039	220	13	single	single	ADJ
cana-4039	220	14	model	model	NOUN
cana-4039	220	15	;	;	PUNCT
cana-4039	220	16	however	however	ADV
cana-4039	220	17	,	,	PUNCT
cana-4039	220	18	fusion	fusion	NOUN
cana-4039	220	19	approaches	approach	NOUN
cana-4039	220	20	help	help	VERB
cana-4039	220	21	to	to	PART
cana-4039	220	22	lessen	lessen	VERB
cana-4039	220	23	these	these	DET
cana-4039	220	24	risks	risk	NOUN
cana-4039	220	25	by	by	ADP
cana-4039	220	26	mixing	mix	VERB
cana-4039	220	27	algorithms	algorithm	NOUN
cana-4039	220	28	that	that	PRON
cana-4039	220	29	thrive	thrive	VERB
cana-4039	220	30	in	in	ADP
cana-4039	220	31	diverse	diverse	ADJ
cana-4039	220	32	situations	situation	NOUN
cana-4039	220	33	.	.	PUNCT
cana-4039	221	1	understanding	understand	VERB
cana-4039	221	2	the	the	DET
cana-4039	221	3	roles	role	NOUN
cana-4039	221	4	performed	perform	VERB
cana-4039	221	5	by	by	ADP
cana-4039	221	6	various	various	ADJ
cana-4039	221	7	models	model	NOUN
cana-4039	221	8	help	help	VERB
cana-4039	221	9	one	one	PRON
cana-4039	221	10	have	have	VERB
cana-4039	221	11	a	a	DET
cana-4039	221	12	better	well	ADJ
cana-4039	221	13	understanding	understanding	NOUN
cana-4039	221	14	of	of	ADP
cana-4039	221	15	the	the	DET
cana-4039	221	16	factors	factor	NOUN
cana-4039	221	17	that	that	PRON
cana-4039	221	18	contribute	contribute	VERB
cana-4039	221	19	to	to	ADP
cana-4039	221	20	social	social	ADJ
cana-4039	221	21	media	medium	NOUN
cana-4039	221	22	impact	impact	NOUN
cana-4039	221	23	.	.	PUNCT
cana-4039	222	1	in	in	ADP
cana-4039	222	2	doing	do	VERB
cana-4039	222	3	so	so	ADV
cana-4039	222	4	,	,	PUNCT
cana-4039	222	5	interpretability	interpretability	NOUN
cana-4039	222	6	is	be	AUX
cana-4039	222	7	improved	improve	VERB
cana-4039	222	8	.	.	PUNCT
cana-4039	223	1	to	to	PART
cana-4039	223	2	optimise	optimise	VERB
cana-4039	223	3	the	the	DET
cana-4039	223	4	social	social	ADJ
cana-4039	223	5	media	medium	NOUN
cana-4039	223	6	effect	effect	NOUN
cana-4039	223	7	,	,	PUNCT
cana-4039	223	8	fusion	fusion	NOUN
cana-4039	223	9	ml	ml	NOUN
cana-4039	223	10	techniques	technique	NOUN
cana-4039	223	11	such	such	ADJ
cana-4039	223	12	as	as	ADP
cana-4039	223	13	svm	svm	ADJ
cana-4039	223	14	,	,	PUNCT
cana-4039	223	15	lr	lr	PROPN
cana-4039	223	16	,	,	PUNCT
cana-4039	223	17	gnb	gnb	PROPN
cana-4039	223	18	,	,	PUNCT
cana-4039	223	19	and	and	CCONJ
cana-4039	223	20	rf	rf	NOUN
cana-4039	223	21	use	use	VERB
cana-4039	223	22	several	several	ADJ
cana-4039	223	23	algorithms	algorithm	NOUN
cana-4039	223	24	to	to	PART
cana-4039	223	25	provide	provide	VERB
cana-4039	223	26	more	more	ADV
cana-4039	223	27	accurate	accurate	ADJ
cana-4039	223	28	predictions	prediction	NOUN
cana-4039	223	29	.	.	PUNCT
cana-4039	224	1	this	this	DET
cana-4039	224	2	strategy	strategy	NOUN
cana-4039	224	3	allows	allow	VERB
cana-4039	224	4	better	well	ADJ
cana-4039	224	5	understanding	understanding	NOUN
cana-4039	224	6	and	and	CCONJ
cana-4039	224	7	creatively	creatively	ADV
cana-4039	224	8	targeting	target	VERB
cana-4039	224	9	essential	essential	ADJ
cana-4039	224	10	individuals	individual	NOUN
cana-4039	224	11	and	and	CCONJ
cana-4039	224	12	material	material	NOUN
cana-4039	224	13	,	,	PUNCT
cana-4039	224	14	which	which	PRON
cana-4039	224	15	is	be	AUX
cana-4039	224	16	particularly	particularly	ADV
cana-4039	224	17	valuable	valuable	ADJ
cana-4039	224	18	given	give	VERB
cana-4039	224	19	the	the	DET
cana-4039	224	20	complexity	complexity	NOUN
cana-4039	224	21	and	and	CCONJ
cana-4039	224	22	variety	variety	NOUN
cana-4039	224	23	of	of	ADP
cana-4039	224	24	facebook	facebook	PROPN
cana-4039	224	25	,	,	PUNCT
cana-4039	224	26	instagram	instagram	PROPN
cana-4039	224	27	,	,	PUNCT
cana-4039	224	28	and	and	CCONJ
cana-4039	224	29	youtube	youtube	NOUN
cana-4039	224	30	data	datum	NOUN
cana-4039	224	31	.	.	PUNCT
cana-4039	225	1	communications	communication	NOUN
cana-4039	225	2	on	on	ADP
cana-4039	225	3	applied	apply	VERB
cana-4039	225	4	nonlinear	nonlinear	ADJ
cana-4039	225	5	analysis	analysis	NOUN
cana-4039	225	6	issn	issn	NOUN
cana-4039	225	7	:	:	PUNCT
cana-4039	225	8	1074	1074	NUM
cana-4039	225	9	-	-	PUNCT
cana-4039	225	10	133x	133x	NUM
cana-4039	225	11	vol	vol	NOUN
cana-4039	225	12	32	32	NUM
cana-4039	225	13	no	no	NOUN
cana-4039	225	14	.	.	PUNCT
cana-4039	226	1	9s	9s	NUM
cana-4039	226	2	(	(	PUNCT
cana-4039	226	3	2025	2025	NUM
cana-4039	226	4	)	)	PUNCT
cana-4039	226	5	918	918	NUM
cana-4039	227	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	227	2	algorithm	algorithm	NOUN
cana-4039	227	3	1	1	NUM
cana-4039	227	4	:	:	PUNCT
cana-4039	227	5	fusion	fusion	NOUN
cana-4039	227	6	method	method	NOUN
cana-4039	227	7	input	input	NOUN
cana-4039	227	8	data	datum	NOUN
cana-4039	227	9	:	:	PUNCT
cana-4039	227	10	using	use	VERB
cana-4039	227	11	svm	svm	PROPN
cana-4039	227	12	,	,	PUNCT
cana-4039	227	13	lr	lr	INTJ
cana-4039	227	14	,	,	PUNCT
cana-4039	227	15	gnb	gnb	PROPN
cana-4039	227	16	,	,	PUNCT
cana-4039	227	17	and	and	CCONJ
cana-4039	227	18	rf	rf	VERB
cana-4039	227	19	for	for	ADP
cana-4039	227	20	predictions	prediction	NOUN
cana-4039	227	21	.	.	PUNCT
cana-4039	228	1	procedure	procedure	NOUN
cana-4039	228	2	:	:	PUNCT
cana-4039	228	3	1	1	X
cana-4039	228	4	.	.	X
cana-4039	228	5	receiving	receive	VERB
cana-4039	228	6	the	the	DET
cana-4039	228	7	predictions	prediction	NOUN
cana-4039	228	8	of	of	ADP
cana-4039	228	9	classifier	classifier	NOUN
cana-4039	228	10	for	for	ADP
cana-4039	228	11	the	the	DET
cana-4039	228	12	provided	provide	VERB
cana-4039	228	13	dataset	dataset	NOUN
cana-4039	228	14	,	,	PUNCT
cana-4039	228	15	gather	gather	VERB
cana-4039	228	16	the	the	DET
cana-4039	228	17	predictions	prediction	NOUN
cana-4039	228	18	from	from	ADP
cana-4039	228	19	the	the	DET
cana-4039	228	20	algorithms	algorithm	NOUN
cana-4039	228	21	such	such	ADJ
cana-4039	228	22	assvm	assvm	PROPN
cana-4039	228	23	,	,	PUNCT
cana-4039	228	24	lr	lr	PROPN
cana-4039	228	25	,	,	PUNCT
cana-4039	228	26	gnb	gnb	PROPN
cana-4039	228	27	,	,	PUNCT
cana-4039	228	28	and	and	CCONJ
cana-4039	228	29	rf	rf	NOUN
cana-4039	228	30	.	.	NOUN
cana-4039	228	31	2	2	NUM
cana-4039	228	32	.	.	X
cana-4039	228	33	selection	selection	NOUN
cana-4039	228	34	of	of	ADP
cana-4039	228	35	fusion	fusion	NOUN
cana-4039	228	36	approach	approach	NOUN
cana-4039	228	37	depending	depend	VERB
cana-4039	228	38	on	on	ADP
cana-4039	228	39	the	the	DET
cana-4039	228	40	dataset	dataset	NOUN
cana-4039	228	41	characteristics	characteristic	NOUN
cana-4039	228	42	and	and	CCONJ
cana-4039	228	43	classifier	classifier	NOUN
cana-4039	228	44	behavior	behavior	NOUN
cana-4039	228	45	,	,	PUNCT
cana-4039	228	46	choose	choose	VERB
cana-4039	228	47	an	an	DET
cana-4039	228	48	appropriate	appropriate	ADJ
cana-4039	228	49	fusion	fusion	NOUN
cana-4039	228	50	technique	technique	NOUN
cana-4039	228	51	.	.	PUNCT
cana-4039	229	1	use	use	VERB
cana-4039	229	2	optimization	optimization	NOUN
cana-4039	229	3	criterion	criterion	NOUN
cana-4039	229	4	:	:	PUNCT
cana-4039	229	5	max	max	PROPN
cana-4039	229	6	𝑎1	𝑎1	PROPN
cana-4039	229	7	∑	∑	PUNCT
cana-4039	229	8	𝑎1𝑖	𝑎1𝑖	ADJ
cana-4039	229	9	−	−	PROPN
cana-4039	229	10	1	1	NUM
cana-4039	229	11	2	2	NUM
cana-4039	229	12	𝑛	𝑛	PRON
cana-4039	229	13	𝑖=1	𝑖=1	PUNCT
cana-4039	229	14	∑	∑	PUNCT
cana-4039	229	15	𝑎1𝑖𝑎1𝑗𝑝𝑖𝑝𝑗𝐾(𝑎𝑖	𝑎1𝑖𝑎1𝑗𝑝𝑖𝑝𝑗𝐾(𝑎𝑖	VERB
cana-4039	229	16	,	,	PUNCT
cana-4039	229	17	𝑎𝑗)𝑛	𝑎𝑗)𝑛	PROPN
cana-4039	229	18	𝑖,𝑗=1	𝑖,𝑗=1	NOUN
cana-4039	229	19	step	step	NOUN
cana-4039	229	20	3	3	NUM
cana-4039	229	21	:	:	PUNCT
cana-4039	229	22	apply	apply	VERB
cana-4039	229	23	fusion	fusion	NOUN
cana-4039	229	24	method	method	NOUN
cana-4039	229	25	if	if	SCONJ
cana-4039	229	26	majority	majority	NOUN
cana-4039	229	27	voting	voting	NOUN
cana-4039	229	28	is	be	AUX
cana-4039	229	29	selected	select	VERB
cana-4039	229	30	assign	assign	VERB
cana-4039	229	31	the	the	DET
cana-4039	229	32	class	class	NOUN
cana-4039	229	33	label	label	NOUN
cana-4039	229	34	that	that	PRON
cana-4039	229	35	appears	appear	VERB
cana-4039	229	36	most	most	ADV
cana-4039	229	37	frequently	frequently	ADV
cana-4039	229	38	among	among	ADP
cana-4039	229	39	classifier	classifier	NOUN
cana-4039	229	40	outputs	output	NOUN
cana-4039	229	41	.	.	PUNCT
cana-4039	230	1	if	if	SCONJ
cana-4039	230	2	meta	meta	ADJ
cana-4039	230	3	-	-	PUNCT
cana-4039	230	4	learning	learn	VERB
cana-4039	230	5	strategy	strategy	NOUN
cana-4039	230	6	is	be	AUX
cana-4039	230	7	chosen	choose	VERB
cana-4039	230	8	train	train	VERB
cana-4039	230	9	a	a	DET
cana-4039	230	10	meta	meta	NOUN
cana-4039	230	11	-	-	PUNCT
cana-4039	230	12	model	model	NOUN
cana-4039	230	13	on	on	ADP
cana-4039	230	14	svm	svm	PROPN
cana-4039	230	15	,	,	PUNCT
cana-4039	230	16	lr	lr	INTJ
cana-4039	230	17	,	,	PUNCT
cana-4039	230	18	gnb	gnb	PROPN
cana-4039	230	19	,	,	PUNCT
cana-4039	230	20	and	and	CCONJ
cana-4039	230	21	rf	rf	NOUN
cana-4039	230	22	's	's	PART
cana-4039	230	23	predictions	prediction	NOUN
cana-4039	230	24	and	and	CCONJ
cana-4039	230	25	use	use	VERB
cana-4039	230	26	the	the	DET
cana-4039	230	27	trained	train	VERB
cana-4039	230	28	meta	meta	NOUN
cana-4039	230	29	-	-	PUNCT
cana-4039	230	30	model	model	NOUN
cana-4039	230	31	to	to	PART
cana-4039	230	32	predict	predict	VERB
cana-4039	230	33	the	the	DET
cana-4039	230	34	final	final	ADJ
cana-4039	230	35	class	class	NOUN
cana-4039	230	36	label	label	NOUN
cana-4039	230	37	.	.	PUNCT
cana-4039	231	1	if	if	SCONJ
cana-4039	231	2	weighted	weight	VERB
cana-4039	231	3	averaging	averaging	NOUN
cana-4039	231	4	is	be	AUX
cana-4039	231	5	selected	select	VERB
cana-4039	231	6	,	,	PUNCT
cana-4039	231	7	assign	assign	VERB
cana-4039	231	8	weights	weight	NOUN
cana-4039	231	9	to	to	ADP
cana-4039	231	10	each	each	DET
cana-4039	231	11	classifier	classifier	NOUN
cana-4039	231	12	based	base	VERB
cana-4039	231	13	on	on	ADP
cana-4039	231	14	performance	performance	NOUN
cana-4039	231	15	and	and	CCONJ
cana-4039	231	16	compute	compute	VERB
cana-4039	231	17	the	the	DET
cana-4039	231	18	weighted	weighted	ADJ
cana-4039	231	19	sum	sum	NOUN
cana-4039	231	20	of	of	ADP
cana-4039	231	21	predictions	prediction	NOUN
cana-4039	231	22	:	:	PUNCT
cana-4039	231	23	𝛿𝑖	𝛿𝑖	ADP
cana-4039	231	24	𝑘	𝑘	X
cana-4039	231	25	=	=	PUNCT
cana-4039	231	26	−	−	PROPN
cana-4039	231	27	∑	∑	PUNCT
cana-4039	231	28	(	(	PUNCT
cana-4039	231	29	(	(	PUNCT
cana-4039	231	30	𝐴𝑖𝑗	𝐴𝑖𝑗	PROPN
cana-4039	231	31	𝑇𝑒−	𝑇𝑒−	PROPN
cana-4039	231	32	�	�	SYM
cana-4039	231	33	̂	̂	NOUN
cana-4039	231	34	�	�	NOUN
cana-4039	231	35	𝑗	𝑗	PROPN
cana-4039	231	36	𝑘)2	𝑘)2	PROPN
cana-4039	231	37	2	2	NUM
cana-4039	231	38	�	�	PROPN
cana-4039	231	39	̂	̂	NOUN
cana-4039	231	40	�	�	NOUN
cana-4039	231	41	𝑗	𝑗	NOUN
cana-4039	231	42	2	2	NUM
cana-4039	231	43	)	)	PUNCT
cana-4039	231	44	+	+	CCONJ
cana-4039	231	45	log(𝑟𝑠)𝑣	log(𝑟𝑠)𝑣	NOUN
cana-4039	231	46	𝑗=1	𝑗=1	PROPN
cana-4039	231	47	use	use	VERB
cana-4039	231	48	decision	decision	NOUN
cana-4039	231	49	function	function	NOUN
cana-4039	231	50	:	:	PUNCT
cana-4039	232	1	𝐸𝑚,𝑠	𝐸𝑚,𝑠	PROPN
cana-4039	232	2	𝑘	𝑘	X
cana-4039	232	3	=	=	PROPN
cana-4039	232	4	−𝐹𝑚,𝑣	−𝐹𝑚,𝑣	PROPN
cana-4039	232	5	𝑘	𝑘	PRON
cana-4039	232	6	𝑆𝑣,𝑠	𝑆𝑣,𝑠	PROPN
cana-4039	232	7	+	+	CCONJ
cana-4039	232	8	log(𝑟𝑠	log(𝑟𝑠	ADJ
cana-4039	232	9	)	)	PUNCT
cana-4039	232	10	step	step	NOUN
cana-4039	232	11	4	4	NUM
cana-4039	232	12	:	:	PUNCT
cana-4039	232	13	generate	generate	VERB
cana-4039	232	14	final	final	ADJ
cana-4039	232	15	prediction	prediction	NOUN
cana-4039	232	16	compute	compute	NOUN
cana-4039	232	17	the	the	DET
cana-4039	232	18	final	final	ADJ
cana-4039	232	19	class	class	NOUN
cana-4039	232	20	label	label	NOUN
cana-4039	232	21	based	base	VERB
cana-4039	232	22	on	on	ADP
cana-4039	232	23	the	the	DET
cana-4039	232	24	applied	apply	VERB
cana-4039	232	25	fusion	fusion	NOUN
cana-4039	232	26	method	method	NOUN
cana-4039	232	27	.	.	PUNCT
cana-4039	233	1	use	use	VERB
cana-4039	233	2	the	the	DET
cana-4039	233	3	probability	probability	NOUN
cana-4039	233	4	function	function	NOUN
cana-4039	233	5	:	:	PUNCT
cana-4039	233	6	𝐺(𝐷	𝐺(𝐷	NOUN
cana-4039	233	7	)	)	PUNCT
cana-4039	233	8	=	=	SYM
cana-4039	233	9	1	1	NUM
cana-4039	233	10	−	−	NOUN
cana-4039	233	11	∑	∑	PUNCT
cana-4039	233	12	𝑝1	𝑝1	NOUN
cana-4039	233	13	𝑛	𝑛	PRON
cana-4039	233	14	𝑖=1	𝑖=1	PROPN
cana-4039	233	15	step	step	NOUN
cana-4039	233	16	5	5	NUM
cana-4039	233	17	:	:	PUNCT
cana-4039	233	18	asses	asse	VERB
cana-4039	233	19	the	the	DET
cana-4039	233	20	performance	performance	NOUN
cana-4039	233	21	of	of	ADP
cana-4039	233	22	model	model	NOUN
cana-4039	233	23	the	the	DET
cana-4039	233	24	performance	performance	NOUN
cana-4039	233	25	parameters	parameter	NOUN
cana-4039	233	26	like	like	ADP
cana-4039	233	27	accuracy	accuracy	NOUN
cana-4039	233	28	,	,	PUNCT
cana-4039	233	29	precision	precision	NOUN
cana-4039	233	30	,	,	PUNCT
cana-4039	233	31	recall	recall	NOUN
cana-4039	233	32	,	,	PUNCT
cana-4039	233	33	and	and	CCONJ
cana-4039	233	34	f1	f1	NOUN
cana-4039	233	35	-	-	PUNCT
cana-4039	233	36	score	score	NOUN
cana-4039	233	37	are	be	AUX
cana-4039	233	38	measured	measure	VERB
cana-4039	233	39	.	.	PUNCT
cana-4039	234	1	compare	compare	ADJ
cana-4039	234	2	fusion	fusion	NOUN
cana-4039	234	3	model	model	NOUN
cana-4039	234	4	performance	performance	NOUN
cana-4039	234	5	with	with	ADP
cana-4039	234	6	individual	individual	ADJ
cana-4039	234	7	classifier	classifier	NOUN
cana-4039	234	8	performance	performance	NOUN
cana-4039	234	9	.	.	PUNCT
cana-4039	235	1	final	final	ADJ
cana-4039	235	2	output	output	NOUN
cana-4039	235	3	:	:	PUNCT
cana-4039	235	4	aggregated	aggregate	VERB
cana-4039	235	5	prediction	prediction	NOUN
cana-4039	235	6	according	accord	VERB
cana-4039	235	7	to	to	ADP
cana-4039	235	8	the	the	DET
cana-4039	235	9	selected	select	VERB
cana-4039	235	10	fusion	fusion	NOUN
cana-4039	235	11	approach	approach	NOUN
cana-4039	235	12	.	.	PUNCT
cana-4039	236	1	for	for	ADP
cana-4039	236	2	the	the	DET
cana-4039	236	3	voting	voting	NOUN
cana-4039	236	4	case	case	NOUN
cana-4039	236	5	,	,	PUNCT
cana-4039	236	6	the	the	DET
cana-4039	236	7	label	label	NOUN
cana-4039	236	8	that	that	PRON
cana-4039	236	9	has	have	VERB
cana-4039	236	10	the	the	DET
cana-4039	236	11	most	most	ADJ
cana-4039	236	12	votes	vote	NOUN
cana-4039	236	13	.	.	PUNCT
cana-4039	237	1	communications	communication	NOUN
cana-4039	237	2	on	on	ADP
cana-4039	237	3	applied	apply	VERB
cana-4039	237	4	nonlinear	nonlinear	ADJ
cana-4039	237	5	analysis	analysis	NOUN
cana-4039	237	6	issn	issn	NOUN
cana-4039	237	7	:	:	PUNCT
cana-4039	237	8	1074	1074	NUM
cana-4039	237	9	-	-	PUNCT
cana-4039	237	10	133x	133x	NUM
cana-4039	237	11	vol	vol	NOUN
cana-4039	237	12	32	32	NUM
cana-4039	237	13	no	no	NOUN
cana-4039	237	14	.	.	PUNCT
cana-4039	238	1	9s	9s	NUM
cana-4039	238	2	(	(	PUNCT
cana-4039	238	3	2025	2025	NUM
cana-4039	238	4	)	)	PUNCT
cana-4039	238	5	919	919	NUM
cana-4039	238	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	238	7	iv	iv	NOUN
cana-4039	238	8	.	.	PROPN
cana-4039	238	9	result	result	NOUN
cana-4039	238	10	and	and	CCONJ
cana-4039	238	11	discussion	discussion	NOUN
cana-4039	238	12	this	this	DET
cana-4039	238	13	section	section	NOUN
cana-4039	238	14	describes	describe	VERB
cana-4039	238	15	in	in	ADP
cana-4039	238	16	detail	detail	NOUN
cana-4039	238	17	the	the	DET
cana-4039	238	18	categorisation	categorisation	NOUN
cana-4039	238	19	experiments	experiment	NOUN
cana-4039	238	20	,	,	PUNCT
cana-4039	238	21	their	their	PRON
cana-4039	238	22	results	result	NOUN
cana-4039	238	23	,	,	PUNCT
cana-4039	238	24	and	and	CCONJ
cana-4039	238	25	their	their	PRON
cana-4039	238	26	implication	implication	NOUN
cana-4039	238	27	.	.	PUNCT
cana-4039	239	1	the	the	DET
cana-4039	239	2	explanation	explanation	NOUN
cana-4039	239	3	of	of	ADP
cana-4039	239	4	the	the	DET
cana-4039	239	5	fusion	fusion	NOUN
cana-4039	239	6	technique	technique	NOUN
cana-4039	239	7	influencing	influence	VERB
cana-4039	239	8	classification	classification	NOUN
cana-4039	239	9	accuracy	accuracy	NOUN
cana-4039	239	10	and	and	CCONJ
cana-4039	239	11	well	well	INTJ
cana-4039	239	12	each	each	DET
cana-4039	239	13	classifier	classifier	NOUN
cana-4039	239	14	performed	perform	VERB
cana-4039	239	15	in	in	ADP
cana-4039	239	16	this	this	DET
cana-4039	239	17	regard	regard	NOUN
cana-4039	239	18	is	be	AUX
cana-4039	239	19	given	give	VERB
cana-4039	239	20	.	.	PUNCT
cana-4039	240	1	fig	fig	NOUN
cana-4039	240	2	.	.	PUNCT
cana-4039	241	1	2	2	NUM
cana-4039	241	2	:	:	PUNCT
cana-4039	241	3	comparison	comparison	NOUN
cana-4039	241	4	graph	graph	NOUN
cana-4039	241	5	of	of	ADP
cana-4039	241	6	creator	creator	NOUN
cana-4039	241	7	gender	gender	NOUN
cana-4039	241	8	fig	fig	NOUN
cana-4039	241	9	.	.	PUNCT
cana-4039	241	10	2	2	NUM
cana-4039	241	11	indicates	indicate	VERB
cana-4039	241	12	the	the	DET
cana-4039	241	13	following	following	NOUN
cana-4039	241	14	.	.	PUNCT
cana-4039	242	1	their	their	PRON
cana-4039	242	2	gender	gender	NOUN
cana-4039	242	3	is	be	AUX
cana-4039	242	4	plotted	plot	VERB
cana-4039	242	5	on	on	ADP
cana-4039	242	6	the	the	DET
cana-4039	242	7	x	x	NOUN
cana-4039	242	8	-	-	NOUN
cana-4039	242	9	axis	axis	ADJ
cana-4039	242	10	,	,	PUNCT
cana-4039	242	11	and	and	CCONJ
cana-4039	242	12	the	the	DET
cana-4039	242	13	proportion	proportion	NOUN
cana-4039	242	14	of	of	ADP
cana-4039	242	15	likes	like	NOUN
cana-4039	242	16	for	for	ADP
cana-4039	242	17	each	each	DET
cana-4039	242	18	source	source	NOUN
cana-4039	242	19	of	of	ADP
cana-4039	242	20	materials	material	NOUN
cana-4039	242	21	.	.	PUNCT
cana-4039	243	1	this	this	DET
cana-4039	243	2	graphic	graphic	ADJ
cana-4039	243	3	depiction	depiction	NOUN
cana-4039	243	4	provides	provide	VERB
cana-4039	243	5	a	a	DET
cana-4039	243	6	comprehensive	comprehensive	ADJ
cana-4039	243	7	view	view	NOUN
cana-4039	243	8	of	of	ADP
cana-4039	243	9	the	the	DET
cana-4039	243	10	problem	problem	NOUN
cana-4039	243	11	by	by	ADP
cana-4039	243	12	emphasising	emphasise	VERB
cana-4039	243	13	the	the	DET
cana-4039	243	14	relationship	relationship	NOUN
cana-4039	243	15	between	between	ADP
cana-4039	243	16	author	author	NOUN
cana-4039	243	17	gender	gender	NOUN
cana-4039	243	18	and	and	CCONJ
cana-4039	243	19	content	content	NOUN
cana-4039	243	20	popularity	popularity	NOUN
cana-4039	243	21	as	as	SCONJ
cana-4039	243	22	measured	measure	VERB
cana-4039	243	23	by	by	ADP
cana-4039	243	24	likes	like	NOUN
cana-4039	243	25	.	.	PUNCT
cana-4039	244	1	the	the	PRON
cana-4039	244	2	x	x	ADJ
cana-4039	244	3	-	-	ADJ
cana-4039	244	4	axis	axis	NOUN
cana-4039	244	5	categorises	categorise	VERB
cana-4039	244	6	artists	artist	NOUN
cana-4039	244	7	based	base	VERB
cana-4039	244	8	on	on	ADP
cana-4039	244	9	their	their	PRON
cana-4039	244	10	gender	gender	NOUN
cana-4039	244	11	.	.	PUNCT
cana-4039	245	1	the	the	DET
cana-4039	245	2	numerical	numerical	ADJ
cana-4039	245	3	numbers	number	NOUN
cana-4039	245	4	on	on	ADP
cana-4039	245	5	the	the	DET
cana-4039	245	6	y	y	NOUN
cana-4039	245	7	-	-	PUNCT
cana-4039	245	8	axis	axis	NOUN
cana-4039	245	9	represent	represent	VERB
cana-4039	245	10	the	the	DET
cana-4039	245	11	total	total	ADJ
cana-4039	245	12	number	number	NOUN
cana-4039	245	13	of	of	ADP
cana-4039	245	14	likes	like	NOUN
cana-4039	245	15	for	for	ADP
cana-4039	245	16	each	each	DET
cana-4039	245	17	category	category	NOUN
cana-4039	245	18	of	of	ADP
cana-4039	245	19	writers	writer	NOUN
cana-4039	245	20	.	.	PUNCT
cana-4039	246	1	fig	fig	NOUN
cana-4039	246	2	.	.	PUNCT
cana-4039	247	1	3	3	NUM
cana-4039	247	2	:	:	PUNCT
cana-4039	247	3	correlation	correlation	NOUN
cana-4039	247	4	matrix	matrix	NOUN
cana-4039	247	5	for	for	ADP
cana-4039	247	6	instagram	instagram	PROPN
cana-4039	247	7	user	user	NOUN
cana-4039	247	8	communications	communication	NOUN
cana-4039	247	9	on	on	ADP
cana-4039	247	10	applied	apply	VERB
cana-4039	247	11	nonlinear	nonlinear	ADJ
cana-4039	247	12	analysis	analysis	NOUN
cana-4039	247	13	issn	issn	NOUN
cana-4039	247	14	:	:	PUNCT
cana-4039	247	15	1074	1074	NUM
cana-4039	247	16	-	-	PUNCT
cana-4039	247	17	133x	133x	NUM
cana-4039	247	18	vol	vol	NOUN
cana-4039	247	19	32	32	NUM
cana-4039	247	20	no	no	NOUN
cana-4039	247	21	.	.	PUNCT
cana-4039	248	1	9s	9s	NUM
cana-4039	248	2	(	(	PUNCT
cana-4039	248	3	2025	2025	NUM
cana-4039	248	4	)	)	PUNCT
cana-4039	248	5	920	920	NUM
cana-4039	248	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	248	7	fig	fig	NOUN
cana-4039	248	8	.	.	PUNCT
cana-4039	249	1	3	3	NUM
cana-4039	249	2	depicts	depict	VERB
cana-4039	249	3	an	an	DET
cana-4039	249	4	instagram	instagram	PROPN
cana-4039	249	5	user	user	NOUN
cana-4039	249	6	's	's	PART
cana-4039	249	7	correlation	correlation	NOUN
cana-4039	249	8	matrix	matrix	NOUN
cana-4039	249	9	,	,	PUNCT
cana-4039	249	10	which	which	PRON
cana-4039	249	11	provides	provide	VERB
cana-4039	249	12	a	a	DET
cana-4039	249	13	comprehensive	comprehensive	ADJ
cana-4039	249	14	picture	picture	NOUN
cana-4039	249	15	of	of	ADP
cana-4039	249	16	the	the	DET
cana-4039	249	17	relationships	relationship	NOUN
cana-4039	249	18	and	and	CCONJ
cana-4039	249	19	correlations	correlation	NOUN
cana-4039	249	20	between	between	ADP
cana-4039	249	21	several	several	ADJ
cana-4039	249	22	aspects	aspect	NOUN
cana-4039	249	23	in	in	ADP
cana-4039	249	24	the	the	DET
cana-4039	249	25	data	datum	NOUN
cana-4039	249	26	.	.	PUNCT
cana-4039	250	1	a	a	DET
cana-4039	250	2	paired	pair	VERB
cana-4039	250	3	correlation	correlation	NOUN
cana-4039	250	4	matrix	matrix	NOUN
cana-4039	250	5	assists	assist	NOUN
cana-4039	250	6	illustrate	illustrate	VERB
cana-4039	250	7	the	the	DET
cana-4039	250	8	links	link	NOUN
cana-4039	250	9	between	between	ADP
cana-4039	250	10	instagram	instagram	PROPN
cana-4039	250	11	users	user	NOUN
cana-4039	250	12	'	'	PART
cana-4039	250	13	qualities	quality	NOUN
cana-4039	250	14	and	and	CCONJ
cana-4039	250	15	actions	action	NOUN
cana-4039	250	16	.	.	PUNCT
cana-4039	251	1	4.1	4.1	NUM
cana-4039	251	2	performance	performance	NOUN
cana-4039	251	3	evaluation	evaluation	NOUN
cana-4039	251	4	1	1	NUM
cana-4039	251	5	.	.	PUNCT
cana-4039	252	1	the	the	DET
cana-4039	252	2	ratio	ratio	NOUN
cana-4039	252	3	of	of	ADP
cana-4039	252	4	correctly	correctly	ADV
cana-4039	252	5	identified	identify	VERB
cana-4039	252	6	samples	sample	NOUN
cana-4039	252	7	to	to	ADP
cana-4039	252	8	the	the	DET
cana-4039	252	9	total	total	ADJ
cana-4039	252	10	number	number	NOUN
cana-4039	252	11	of	of	ADP
cana-4039	252	12	samples	sample	NOUN
cana-4039	252	13	is	be	AUX
cana-4039	252	14	a	a	DET
cana-4039	252	15	measure	measure	NOUN
cana-4039	252	16	of	of	ADP
cana-4039	252	17	accuracy	accuracy	NOUN
cana-4039	252	18	.	.	PUNCT
cana-4039	253	1	as	as	ADV
cana-4039	253	2	far	far	ADV
cana-4039	253	3	as	as	ADP
cana-4039	253	4	arithmetic	arithmetic	ADJ
cana-4039	253	5	accuracy	accuracy	NOUN
cana-4039	253	6	=	=	SYM
cana-4039	253	7	(	(	PUNCT
cana-4039	253	8	true	true	ADJ
cana-4039	253	9	positive	positive	ADJ
cana-4039	253	10	+	+	CCONJ
cana-4039	253	11	true	true	ADJ
cana-4039	253	12	negative	negative	ADJ
cana-4039	253	13	)	)	PUNCT
cana-4039	253	14	/	/	PUNCT
cana-4039	254	1	(	(	PUNCT
cana-4039	254	2	true	true	ADJ
cana-4039	254	3	positive	positive	ADJ
cana-4039	254	4	+	+	CCONJ
cana-4039	254	5	false	false	ADJ
cana-4039	254	6	positive	positive	ADJ
cana-4039	254	7	+	+	CCONJ
cana-4039	254	8	true	true	ADJ
cana-4039	254	9	negative	negative	ADJ
cana-4039	254	10	+	+	CCONJ
cana-4039	254	11	false	false	ADJ
cana-4039	254	12	negative	negative	ADJ
cana-4039	254	13	)	)	PUNCT
cana-4039	254	14	2	2	NUM
cana-4039	254	15	.	.	X
cana-4039	254	16	precision	precision	NOUN
cana-4039	254	17	(	(	PUNCT
cana-4039	254	18	p	p	NOUN
cana-4039	254	19	)	)	PUNCT
cana-4039	254	20	percentage	percentage	NOUN
cana-4039	254	21	is	be	AUX
cana-4039	254	22	then	then	ADV
cana-4039	254	23	also	also	ADV
cana-4039	254	24	given	give	VERB
cana-4039	254	25	as	as	ADP
cana-4039	254	26	a	a	DET
cana-4039	254	27	percentage	percentage	NOUN
cana-4039	254	28	of	of	ADP
cana-4039	254	29	defects	defect	NOUN
cana-4039	254	30	detected	detect	VERB
cana-4039	254	31	out	out	ADP
cana-4039	254	32	of	of	ADP
cana-4039	254	33	the	the	DET
cana-4039	254	34	entire	entire	ADJ
cana-4039	254	35	pest	pest	NOUN
cana-4039	254	36	samples	sample	NOUN
cana-4039	254	37	.	.	PUNCT
cana-4039	255	1	algebraically	algebraically	ADV
cana-4039	255	2	,	,	PUNCT
cana-4039	255	3	precision	precision	NOUN
cana-4039	255	4	=	=	SYM
cana-4039	255	5	true	true	ADJ
cana-4039	255	6	positive	positive	ADJ
cana-4039	255	7	/	/	SYM
cana-4039	255	8	(	(	PUNCT
cana-4039	255	9	true	true	ADJ
cana-4039	255	10	positive	positive	ADJ
cana-4039	255	11	+	+	CCONJ
cana-4039	255	12	false	false	ADJ
cana-4039	255	13	positive	positive	ADJ
cana-4039	255	14	)	)	PUNCT
cana-4039	255	15	3	3	NUM
cana-4039	255	16	.	.	X
cana-4039	255	17	recall	recall	PROPN
cana-4039	255	18	is	be	AUX
cana-4039	255	19	the	the	DET
cana-4039	255	20	number	number	NOUN
cana-4039	255	21	of	of	ADP
cana-4039	255	22	correctly	correctly	ADV
cana-4039	255	23	detected	detect	VERB
cana-4039	255	24	pest	pest	NOUN
cana-4039	255	25	samples	sample	NOUN
cana-4039	255	26	over	over	ADP
cana-4039	255	27	actual	actual	ADJ
cana-4039	255	28	total	total	ADJ
cana-4039	255	29	samples	sample	NOUN
cana-4039	255	30	.	.	PUNCT
cana-4039	256	1	numericallyrecall	numericallyrecall	NOUN
cana-4039	256	2	=	=	PUNCT
cana-4039	256	3	true	true	ADJ
cana-4039	256	4	positive	positive	ADJ
cana-4039	256	5	/	/	SYM
cana-4039	256	6	(	(	PUNCT
cana-4039	256	7	true	true	ADJ
cana-4039	256	8	positive	positive	ADJ
cana-4039	256	9	+	+	CCONJ
cana-4039	256	10	false	false	ADJ
cana-4039	256	11	negative	negative	ADJ
cana-4039	256	12	)	)	PUNCT
cana-4039	256	13	4	4	NUM
cana-4039	256	14	.	.	X
cana-4039	257	1	second	second	ADJ
cana-4039	257	2	,	,	PUNCT
cana-4039	257	3	the	the	DET
cana-4039	257	4	f1	f1	NOUN
cana-4039	257	5	score	score	NOUN
cana-4039	257	6	is	be	AUX
cana-4039	257	7	a	a	DET
cana-4039	257	8	trade	trade	NOUN
cana-4039	257	9	-	-	PUNCT
cana-4039	257	10	off	off	NOUN
cana-4039	257	11	between	between	ADP
cana-4039	257	12	memory	memory	NOUN
cana-4039	257	13	accuracy	accuracy	NOUN
cana-4039	257	14	.	.	PUNCT
cana-4039	258	1	regarding	regard	VERB
cana-4039	258	2	the	the	DET
cana-4039	258	3	numbers	number	NOUN
cana-4039	258	4	:	:	PUNCT
cana-4039	258	5	f1	f1	NOUN
cana-4039	258	6	score	score	NOUN
cana-4039	258	7	=	=	SYM
cana-4039	258	8	2	2	X
cana-4039	258	9	*	*	PUNCT
cana-4039	258	10	p	p	X
cana-4039	258	11	*	*	PUNCT
cana-4039	258	12	r	r	NOUN
cana-4039	258	13	/	/	SYM
cana-4039	258	14	(	(	PUNCT
cana-4039	258	15	p	p	X
cana-4039	258	16	+	+	CCONJ
cana-4039	258	17	r	r	NOUN
cana-4039	258	18	)	)	PUNCT
cana-4039	258	19	table	table	NOUN
cana-4039	258	20	1	1	NUM
cana-4039	258	21	:	:	PUNCT
cana-4039	258	22	classification	classification	NOUN
cana-4039	258	23	performance	performance	NOUN
cana-4039	258	24	metrics	metric	NOUN
cana-4039	258	25	comparison	comparison	NOUN
cana-4039	258	26	table	table	NOUN
cana-4039	258	27	algorithm	algorithm	NOUN
cana-4039	258	28	accuracy	accuracy	NOUN
cana-4039	258	29	precision	precision	NOUN
cana-4039	258	30	recall	recall	VERB
cana-4039	258	31	f	f	NOUN
cana-4039	258	32	-	-	PUNCT
cana-4039	258	33	measure	measure	NOUN
cana-4039	258	34	existing	exist	VERB
cana-4039	258	35	methods	method	NOUN
cana-4039	258	36	dt	dt	AUX
cana-4039	258	37	facebook	facebook	PROPN
cana-4039	258	38	94.31	94.31	NUM
cana-4039	258	39	94.20	94.20	NUM
cana-4039	258	40	95.23	95.23	NUM
cana-4039	258	41	94.20	94.20	NUM
cana-4039	258	42	instagram	instagram	NOUN
cana-4039	258	43	93.30	93.30	NUM
cana-4039	258	44	94.86	94.86	NUM
cana-4039	258	45	95.00	95.00	NUM
cana-4039	258	46	94.12	94.12	NUM
cana-4039	258	47	youtube	youtube	NOUN
cana-4039	258	48	94.82	94.82	NUM
cana-4039	258	49	94.10	94.10	NUM
cana-4039	258	50	94.11	94.11	NUM
cana-4039	258	51	94.01	94.01	NUM
cana-4039	258	52	svm	svm	PROPN
cana-4039	258	53	facebook	facebook	PROPN
cana-4039	258	54	95.23	95.23	NUM
cana-4039	258	55	95.38	95.38	NUM
cana-4039	258	56	92.53	92.53	NUM
cana-4039	258	57	96.31	96.31	NUM
cana-4039	258	58	instagram	instagram	PROPN
cana-4039	258	59	95.23	95.23	NUM
cana-4039	258	60	95.33	95.33	NUM
cana-4039	258	61	93.34	93.34	NUM
cana-4039	258	62	94.61	94.61	NUM
cana-4039	258	63	youtube	youtube	NOUN
cana-4039	258	64	97.55	97.55	NUM
cana-4039	258	65	95.37	95.37	NUM
cana-4039	258	66	97.36	97.36	NUM
cana-4039	258	67	96.26	96.26	NUM
cana-4039	258	68	nb	nb	NOUN
cana-4039	258	69	facebook	facebook	PROPN
cana-4039	258	70	97.83	97.83	NUM
cana-4039	258	71	96.35	96.35	NUM
cana-4039	258	72	97.30	97.30	NUM
cana-4039	258	73	96.02	96.02	NUM
cana-4039	258	74	instagram	instagram	PROPN
cana-4039	258	75	95.86	95.86	NUM
cana-4039	258	76	96.63	96.63	NUM
cana-4039	258	77	97.13	97.13	NUM
cana-4039	258	78	95.30	95.30	NUM
cana-4039	258	79	youtube	youtube	NOUN
cana-4039	258	80	96.00	96.00	NUM
cana-4039	258	81	95.34	95.34	NUM
cana-4039	258	82	96.10	96.10	NUM
cana-4039	258	83	96.23	96.23	NUM
cana-4039	258	84	proposed	propose	VERB
cana-4039	258	85	methods	method	NOUN
cana-4039	258	86	proposed	propose	VERB
cana-4039	258	87	methodology	methodology	NOUN
cana-4039	258	88	(	(	PUNCT
cana-4039	258	89	fusion	fusion	NOUN
cana-4039	258	90	ml	ml	NOUN
cana-4039	258	91	methods	method	NOUN
cana-4039	258	92	)	)	PUNCT
cana-4039	258	93	facebook	facebook	NOUN
cana-4039	258	94	96.12	96.12	NUM
cana-4039	258	95	96.67	96.67	NUM
cana-4039	258	96	97.33	97.33	NUM
cana-4039	258	97	97.21	97.21	NUM
cana-4039	258	98	instagram	instagram	NOUN
cana-4039	258	99	97.01	97.01	NUM
cana-4039	258	100	97.23	97.23	NUM
cana-4039	258	101	96.98	96.98	NUM
cana-4039	258	102	97.20	97.20	NUM
cana-4039	258	103	youtube	youtube	NOUN
cana-4039	258	104	97.98	97.98	NUM
cana-4039	258	105	98.34	98.34	NUM
cana-4039	258	106	97.26	97.26	NUM
cana-4039	258	107	98.37	98.37	NUM
cana-4039	258	108	communications	communication	NOUN
cana-4039	258	109	on	on	ADP
cana-4039	258	110	applied	apply	VERB
cana-4039	258	111	nonlinear	nonlinear	ADJ
cana-4039	258	112	analysis	analysis	NOUN
cana-4039	258	113	issn	issn	NOUN
cana-4039	258	114	:	:	PUNCT
cana-4039	258	115	1074	1074	NUM
cana-4039	258	116	-	-	PUNCT
cana-4039	258	117	133x	133x	NUM
cana-4039	258	118	vol	vol	NOUN
cana-4039	258	119	32	32	NUM
cana-4039	258	120	no	no	NOUN
cana-4039	258	121	.	.	PUNCT
cana-4039	259	1	9s	9s	NUM
cana-4039	259	2	(	(	PUNCT
cana-4039	259	3	2025	2025	NUM
cana-4039	259	4	)	)	PUNCT
cana-4039	259	5	921	921	NUM
cana-4039	259	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	259	7	table	table	NOUN
cana-4039	259	8	1	1	NUM
cana-4039	259	9	provides	provide	VERB
cana-4039	259	10	the	the	DET
cana-4039	259	11	current	current	ADJ
cana-4039	259	12	and	and	CCONJ
cana-4039	259	13	suggested	suggest	VERB
cana-4039	259	14	approaches	approach	NOUN
cana-4039	259	15	for	for	ADP
cana-4039	259	16	categorizing	categorize	VERB
cana-4039	259	17	youtube	youtube	NOUN
cana-4039	259	18	,	,	PUNCT
cana-4039	259	19	instagram	instagram	PROPN
cana-4039	259	20	,	,	PUNCT
cana-4039	259	21	and	and	CCONJ
cana-4039	259	22	facebook	facebook	NOUN
cana-4039	259	23	data	datum	NOUN
cana-4039	259	24	using	use	VERB
cana-4039	259	25	four	four	NUM
cana-4039	259	26	measure	measure	NOUN
cana-4039	259	27	parameters	parameter	NOUN
cana-4039	259	28	:	:	PUNCT
cana-4039	259	29	f	f	X
cana-4039	259	30	-	-	PUNCT
cana-4039	259	31	measure	measure	NOUN
cana-4039	259	32	,	,	PUNCT
cana-4039	259	33	recall	recall	NOUN
cana-4039	259	34	,	,	PUNCT
cana-4039	259	35	accuracy	accuracy	NOUN
cana-4039	259	36	,	,	PUNCT
cana-4039	259	37	and	and	CCONJ
cana-4039	259	38	precision	precision	NOUN
cana-4039	259	39	.	.	PUNCT
cana-4039	260	1	on	on	ADP
cana-4039	260	2	youtube	youtube	NOUN
cana-4039	260	3	,	,	PUNCT
cana-4039	260	4	advanced	advanced	ADJ
cana-4039	260	5	techniques	technique	NOUN
cana-4039	260	6	(	(	PUNCT
cana-4039	260	7	dt	dt	PROPN
cana-4039	260	8	,	,	PUNCT
cana-4039	260	9	svm	svm	ADJ
cana-4039	260	10	,	,	PUNCT
cana-4039	260	11	and	and	CCONJ
cana-4039	260	12	nb	nb	INTJ
cana-4039	260	13	)	)	PUNCT
cana-4039	260	14	are	be	AUX
cana-4039	260	15	always	always	ADV
cana-4039	260	16	behind	behind	ADV
cana-4039	260	17	.	.	PUNCT
cana-4039	261	1	naive	naive	ADJ
cana-4039	261	2	bayes	bayes	NOUN
cana-4039	261	3	,	,	PUNCT
cana-4039	261	4	the	the	DET
cana-4039	261	5	suggested	suggest	VERB
cana-4039	261	6	approach	approach	NOUN
cana-4039	261	7	is	be	AUX
cana-4039	261	8	better	well	ADJ
cana-4039	261	9	than	than	ADP
cana-4039	261	10	all	all	DET
cana-4039	261	11	others	other	NOUN
cana-4039	261	12	in	in	ADP
cana-4039	261	13	all	all	DET
cana-4039	261	14	the	the	DET
cana-4039	261	15	parameters	parameter	NOUN
cana-4039	261	16	.	.	PUNCT
cana-4039	262	1	for	for	ADP
cana-4039	262	2	instance	instance	NOUN
cana-4039	262	3	,	,	PUNCT
cana-4039	262	4	when	when	SCONJ
cana-4039	262	5	youtube	youtube	NOUN
cana-4039	262	6	data	data	NOUN
cana-4039	262	7	is	be	AUX
cana-4039	262	8	being	be	AUX
cana-4039	262	9	classified	classify	VERB
cana-4039	262	10	,	,	PUNCT
cana-4039	262	11	the	the	DET
cana-4039	262	12	proposed	propose	VERB
cana-4039	262	13	method	method	NOUN
cana-4039	262	14	excels	excel	VERB
cana-4039	262	15	over	over	ADP
cana-4039	262	16	other	other	ADJ
cana-4039	262	17	methods	method	NOUN
cana-4039	262	18	in	in	ADP
cana-4039	262	19	accuracy	accuracy	NOUN
cana-4039	262	20	,	,	PUNCT
cana-4039	262	21	precision	precision	NOUN
cana-4039	262	22	,	,	PUNCT
cana-4039	262	23	recall	recall	NOUN
cana-4039	262	24	,	,	PUNCT
cana-4039	262	25	and	and	CCONJ
cana-4039	262	26	f	f	X
cana-4039	262	27	-	-	PUNCT
cana-4039	262	28	measure	measure	NOUN
cana-4039	262	29	.	.	PUNCT
cana-4039	263	1	the	the	DET
cana-4039	263	2	presented	present	VERB
cana-4039	263	3	approach	approach	NOUN
cana-4039	263	4	over	over	ADP
cana-4039	263	5	this	this	DET
cana-4039	263	6	table	table	NOUN
cana-4039	263	7	is	be	AUX
cana-4039	263	8	social	social	ADJ
cana-4039	263	9	media	medium	NOUN
cana-4039	263	10	data	datum	NOUN
cana-4039	263	11	collection	collection	NOUN
cana-4039	263	12	and	and	CCONJ
cana-4039	263	13	pattern	pattern	NOUN
cana-4039	263	14	extraction	extraction	NOUN
cana-4039	263	15	.	.	PUNCT
cana-4039	264	1	fig	fig	NOUN
cana-4039	264	2	.	.	PUNCT
cana-4039	265	1	4	4	NUM
cana-4039	265	2	:	:	PUNCT
cana-4039	265	3	comparison	comparison	NOUN
cana-4039	265	4	chart	chart	NOUN
cana-4039	265	5	of	of	ADP
cana-4039	265	6	accuracy	accuracy	NOUN
cana-4039	265	7	in	in	ADP
cana-4039	265	8	social	social	ADJ
cana-4039	265	9	media	medium	NOUN
cana-4039	265	10	i	i	PRON
cana-4039	265	11	m	m	VERB
cana-4039	265	12	when	when	SCONJ
cana-4039	265	13	the	the	DET
cana-4039	265	14	accuracy	accuracy	NOUN
cana-4039	265	15	of	of	ADP
cana-4039	265	16	facebook	facebook	PROPN
cana-4039	265	17	,	,	PUNCT
cana-4039	265	18	instagram	instagram	PROPN
cana-4039	265	19	,	,	PUNCT
cana-4039	265	20	and	and	CCONJ
cana-4039	265	21	youtube	youtube	NOUN
cana-4039	265	22	instant	instant	ADJ
cana-4039	265	23	messaging	messaging	NOUN
cana-4039	265	24	is	be	AUX
cana-4039	265	25	considered	consider	VERB
cana-4039	265	26	,	,	PUNCT
cana-4039	265	27	fusion	fusion	NOUN
cana-4039	265	28	ml	ml	NOUN
cana-4039	265	29	methods	method	NOUN
cana-4039	265	30	were	be	AUX
cana-4039	265	31	better	well	ADJ
cana-4039	265	32	compared	compare	VERB
cana-4039	265	33	to	to	ADP
cana-4039	265	34	dt	dt	PROPN
cana-4039	265	35	,	,	PUNCT
cana-4039	265	36	svm	svm	ADJ
cana-4039	265	37	,	,	PUNCT
cana-4039	265	38	and	and	CCONJ
cana-4039	265	39	nb	nb	INTJ
cana-4039	265	40	(	(	PUNCT
cana-4039	265	41	fig	fig	NOUN
cana-4039	265	42	.	.	PUNCT
cana-4039	266	1	4	4	NUM
cana-4039	266	2	)	)	PUNCT
cana-4039	266	3	.	.	PUNCT
cana-4039	267	1	youtube	youtube	NOUN
cana-4039	267	2	,	,	PUNCT
cana-4039	267	3	instagram	instagram	PROPN
cana-4039	267	4	,	,	PUNCT
cana-4039	267	5	and	and	CCONJ
cana-4039	267	6	facebook	facebook	NOUN
cana-4039	267	7	are	be	AUX
cana-4039	267	8	depicted	depict	VERB
cana-4039	267	9	on	on	ADP
cana-4039	267	10	the	the	DET
cana-4039	267	11	x	x	NOUN
cana-4039	267	12	-	-	NOUN
cana-4039	267	13	axis	axis	NOUN
cana-4039	267	14	of	of	ADP
cana-4039	267	15	the	the	DET
cana-4039	267	16	graph	graph	NOUN
cana-4039	267	17	.	.	PUNCT
cana-4039	268	1	existing	exist	VERB
cana-4039	268	2	methods	method	NOUN
cana-4039	268	3	'	'	PART
cana-4039	268	4	accuracy	accuracy	NOUN
cana-4039	268	5	percentages	percentage	NOUN
cana-4039	268	6	and	and	CCONJ
cana-4039	268	7	fusion	fusion	NOUN
cana-4039	268	8	machine	machine	NOUN
cana-4039	268	9	learning	learn	VERB
cana-4039	268	10	systems	system	NOUN
cana-4039	268	11	'	'	PART
cana-4039	268	12	accuracy	accuracy	NOUN
cana-4039	268	13	percentages	percentage	NOUN
cana-4039	268	14	are	be	AUX
cana-4039	268	15	shown	show	VERB
cana-4039	268	16	on	on	ADP
cana-4039	268	17	the	the	DET
cana-4039	268	18	y	y	NOUN
cana-4039	268	19	-	-	PUNCT
cana-4039	268	20	axis	axis	NOUN
cana-4039	268	21	.	.	PUNCT
cana-4039	269	1	fig	fig	NOUN
cana-4039	269	2	.	.	PUNCT
cana-4039	270	1	5	5	NUM
cana-4039	270	2	:	:	PUNCT
cana-4039	270	3	comparison	comparison	NOUN
cana-4039	270	4	chart	chart	NOUN
cana-4039	270	5	of	of	ADP
cana-4039	270	6	precision	precision	NOUN
cana-4039	270	7	in	in	ADP
cana-4039	270	8	social	social	ADJ
cana-4039	270	9	media	medium	NOUN
cana-4039	271	1	i	i	NOUN
cana-4039	271	2	m	m	VERB
cana-4039	271	3	communications	communication	NOUN
cana-4039	271	4	on	on	ADP
cana-4039	271	5	applied	apply	VERB
cana-4039	271	6	nonlinear	nonlinear	ADJ
cana-4039	271	7	analysis	analysis	NOUN
cana-4039	271	8	issn	issn	NOUN
cana-4039	271	9	:	:	PUNCT
cana-4039	271	10	1074	1074	NUM
cana-4039	271	11	-	-	PUNCT
cana-4039	271	12	133x	133x	NUM
cana-4039	271	13	vol	vol	NOUN
cana-4039	271	14	32	32	NUM
cana-4039	271	15	no	no	NOUN
cana-4039	271	16	.	.	PUNCT
cana-4039	272	1	9s	9s	NUM
cana-4039	272	2	(	(	PUNCT
cana-4039	272	3	2025	2025	NUM
cana-4039	272	4	)	)	PUNCT
cana-4039	272	5	922	922	NUM
cana-4039	272	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	272	7	fig	fig	NOUN
cana-4039	272	8	.	.	PUNCT
cana-4039	273	1	5	5	NUM
cana-4039	273	2	depicts	depict	VERB
cana-4039	273	3	the	the	DET
cana-4039	273	4	comparisons	comparison	NOUN
cana-4039	273	5	of	of	ADP
cana-4039	273	6	accuracy	accuracy	NOUN
cana-4039	273	7	among	among	ADP
cana-4039	273	8	facebook	facebook	PROPN
cana-4039	273	9	,	,	PUNCT
cana-4039	273	10	instagram	instagram	PROPN
cana-4039	273	11	,	,	PUNCT
cana-4039	273	12	and	and	CCONJ
cana-4039	273	13	youtube	youtube	NOUN
cana-4039	273	14	i	i	PRON
cana-4039	273	15	m.	m.	NOUN
cana-4039	273	16	fusion	fusion	NOUN
cana-4039	273	17	ml	ml	NOUN
cana-4039	273	18	techniques	technique	NOUN
cana-4039	273	19	were	be	AUX
cana-4039	273	20	superior	superior	ADJ
cana-4039	273	21	to	to	ADP
cana-4039	273	22	other	other	ADJ
cana-4039	273	23	methods	method	NOUN
cana-4039	273	24	like	like	ADP
cana-4039	273	25	dt	dt	PROPN
cana-4039	273	26	,	,	PUNCT
cana-4039	273	27	svm	svm	PROPN
cana-4039	273	28	,	,	PUNCT
cana-4039	273	29	and	and	CCONJ
cana-4039	273	30	nb	nb	INTJ
cana-4039	273	31	by	by	ADP
cana-4039	273	32	a	a	DET
cana-4039	273	33	significant	significant	ADJ
cana-4039	273	34	margin	margin	NOUN
cana-4039	273	35	.	.	PUNCT
cana-4039	274	1	the	the	DET
cana-4039	274	2	x	x	NOUN
cana-4039	274	3	-	-	NOUN
cana-4039	274	4	axis	axis	NOUN
cana-4039	274	5	of	of	ADP
cana-4039	274	6	the	the	DET
cana-4039	274	7	graph	graph	NOUN
cana-4039	274	8	consists	consist	VERB
cana-4039	274	9	of	of	ADP
cana-4039	274	10	facebook	facebook	PROPN
cana-4039	274	11	,	,	PUNCT
cana-4039	274	12	instagram	instagram	PROPN
cana-4039	274	13	,	,	PUNCT
cana-4039	274	14	and	and	CCONJ
cana-4039	274	15	youtube	youtube	NOUN
cana-4039	274	16	.	.	PUNCT
cana-4039	275	1	the	the	DET
cana-4039	275	2	y	y	NOUN
cana-4039	275	3	-	-	PUNCT
cana-4039	275	4	axis	axis	NOUN
cana-4039	275	5	shows	show	VERB
cana-4039	275	6	the	the	DET
cana-4039	275	7	current	current	ADJ
cana-4039	275	8	and	and	CCONJ
cana-4039	275	9	fusion	fusion	NOUN
cana-4039	275	10	ml	ml	NOUN
cana-4039	275	11	systems	system	NOUN
cana-4039	275	12	'	'	PART
cana-4039	275	13	accuracy	accuracy	NOUN
cana-4039	275	14	rate	rate	NOUN
cana-4039	275	15	percentages	percentage	NOUN
cana-4039	275	16	.	.	PUNCT
cana-4039	276	1	fig	fig	NOUN
cana-4039	276	2	.	.	PUNCT
cana-4039	277	1	6	6	NUM
cana-4039	277	2	:	:	PUNCT
cana-4039	277	3	comparison	comparison	NOUN
cana-4039	277	4	chart	chart	NOUN
cana-4039	277	5	of	of	ADP
cana-4039	277	6	recall	recall	NOUN
cana-4039	277	7	in	in	ADP
cana-4039	277	8	social	social	ADJ
cana-4039	277	9	media	medium	NOUN
cana-4039	277	10	fig	fig	NOUN
cana-4039	277	11	.	.	PUNCT
cana-4039	278	1	6	6	NUM
cana-4039	278	2	shows	show	VERB
cana-4039	278	3	the	the	DET
cana-4039	278	4	facebook	facebook	PROPN
cana-4039	278	5	,	,	PUNCT
cana-4039	278	6	instagram	instagram	PROPN
cana-4039	278	7	,	,	PUNCT
cana-4039	278	8	and	and	CCONJ
cana-4039	278	9	youtube	youtube	NOUN
cana-4039	278	10	i	i	PRON
cana-4039	278	11	m	m	VERB
cana-4039	278	12	recall	recall	VERB
cana-4039	278	13	in	in	ADP
cana-4039	278	14	comparison	comparison	NOUN
cana-4039	278	15	with	with	ADP
cana-4039	278	16	one	one	NUM
cana-4039	278	17	another	another	DET
cana-4039	278	18	.	.	PUNCT
cana-4039	279	1	dt	dt	X
cana-4039	279	2	,	,	PUNCT
cana-4039	279	3	svm	svm	PROPN
cana-4039	279	4	,	,	PUNCT
cana-4039	279	5	and	and	CCONJ
cana-4039	279	6	nb	nb	NUM
cana-4039	279	7	performance	performance	NOUN
cana-4039	279	8	is	be	AUX
cana-4039	279	9	much	much	ADV
cana-4039	279	10	lower	low	ADJ
cana-4039	279	11	compared	compare	VERB
cana-4039	279	12	to	to	ADP
cana-4039	279	13	the	the	DET
cana-4039	279	14	fusion	fusion	NOUN
cana-4039	279	15	ml	ml	ADP
cana-4039	279	16	algorithms	algorithm	NOUN
cana-4039	279	17	.	.	PUNCT
cana-4039	280	1	facebook	facebook	PROPN
cana-4039	280	2	,	,	PUNCT
cana-4039	280	3	instagram	instagram	PROPN
cana-4039	280	4	,	,	PUNCT
cana-4039	280	5	and	and	CCONJ
cana-4039	280	6	youtube	youtube	NOUN
cana-4039	280	7	are	be	AUX
cana-4039	280	8	labeled	label	VERB
cana-4039	280	9	on	on	ADP
cana-4039	280	10	the	the	DET
cana-4039	280	11	x	x	NOUN
cana-4039	280	12	-	-	NOUN
cana-4039	280	13	axis	axis	NOUN
cana-4039	280	14	of	of	ADP
cana-4039	280	15	this	this	DET
cana-4039	280	16	figure	figure	NOUN
cana-4039	280	17	.	.	PUNCT
cana-4039	281	1	the	the	DET
cana-4039	281	2	y	y	NOUN
cana-4039	281	3	-	-	PUNCT
cana-4039	281	4	axis	axis	NOUN
cana-4039	281	5	represents	represent	VERB
cana-4039	281	6	the	the	DET
cana-4039	281	7	existing	exist	VERB
cana-4039	281	8	and	and	CCONJ
cana-4039	281	9	fusion	fusion	NOUN
cana-4039	281	10	ml	ml	ADP
cana-4039	281	11	algorithms	algorithm	NOUN
cana-4039	281	12	'	'	PART
cana-4039	281	13	recall	recall	NOUN
cana-4039	281	14	percentages	percentage	NOUN
cana-4039	281	15	.	.	PUNCT
cana-4039	282	1	fig	fig	NOUN
cana-4039	282	2	.	.	PUNCT
cana-4039	283	1	7	7	NUM
cana-4039	283	2	:	:	PUNCT
cana-4039	283	3	comparison	comparison	NOUN
cana-4039	283	4	chart	chart	NOUN
cana-4039	283	5	of	of	ADP
cana-4039	283	6	f	f	NOUN
cana-4039	283	7	-	-	PUNCT
cana-4039	283	8	measure	measure	NOUN
cana-4039	283	9	in	in	ADP
cana-4039	283	10	social	social	ADJ
cana-4039	283	11	media	medium	NOUN
cana-4039	284	1	i	i	NOUN
cana-4039	284	2	m	m	VERB
cana-4039	284	3	communications	communication	NOUN
cana-4039	284	4	on	on	ADP
cana-4039	284	5	applied	apply	VERB
cana-4039	284	6	nonlinear	nonlinear	ADJ
cana-4039	284	7	analysis	analysis	NOUN
cana-4039	284	8	issn	issn	NOUN
cana-4039	284	9	:	:	PUNCT
cana-4039	284	10	1074	1074	NUM
cana-4039	284	11	-	-	PUNCT
cana-4039	284	12	133x	133x	NUM
cana-4039	284	13	vol	vol	NOUN
cana-4039	284	14	32	32	NUM
cana-4039	284	15	no	no	NOUN
cana-4039	284	16	.	.	PUNCT
cana-4039	285	1	9s	9s	NUM
cana-4039	285	2	(	(	PUNCT
cana-4039	285	3	2025	2025	NUM
cana-4039	285	4	)	)	PUNCT
cana-4039	285	5	923	923	NUM
cana-4039	285	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	285	7	fig	fig	NOUN
cana-4039	285	8	.	.	PUNCT
cana-4039	286	1	7	7	NUM
cana-4039	286	2	depicts	depict	NOUN
cana-4039	286	3	facebook	facebook	PROPN
cana-4039	286	4	,	,	PUNCT
cana-4039	286	5	instagram	instagram	PROPN
cana-4039	286	6	,	,	PUNCT
cana-4039	286	7	and	and	CCONJ
cana-4039	286	8	youtube	youtube	NOUN
cana-4039	286	9	i	i	PRON
cana-4039	286	10	m	m	VERB
cana-4039	286	11	versus	versus	ADP
cana-4039	286	12	the	the	DET
cana-4039	286	13	f	f	NOUN
cana-4039	286	14	-	-	PUNCT
cana-4039	286	15	measure	measure	NOUN
cana-4039	286	16	.	.	PUNCT
cana-4039	287	1	the	the	DET
cana-4039	287	2	accuracy	accuracy	NOUN
cana-4039	287	3	of	of	ADP
cana-4039	287	4	dt	dt	PROPN
cana-4039	287	5	,	,	PUNCT
cana-4039	287	6	svm	svm	ADJ
cana-4039	287	7	,	,	PUNCT
cana-4039	287	8	and	and	CCONJ
cana-4039	287	9	nb	nb	NOUN
cana-4039	287	10	is	be	AUX
cana-4039	287	11	relatively	relatively	ADV
cana-4039	287	12	very	very	ADV
cana-4039	287	13	low	low	ADJ
cana-4039	287	14	compared	compare	VERB
cana-4039	287	15	to	to	ADP
cana-4039	287	16	fusion	fusion	VERB
cana-4039	287	17	ml	ml	NOUN
cana-4039	287	18	algorithms	algorithm	NOUN
cana-4039	287	19	.	.	PUNCT
cana-4039	288	1	facebook	facebook	PROPN
cana-4039	288	2	,	,	PUNCT
cana-4039	288	3	instagram	instagram	PROPN
cana-4039	288	4	,	,	PUNCT
cana-4039	288	5	and	and	CCONJ
cana-4039	288	6	youtube	youtube	NOUN
cana-4039	288	7	are	be	AUX
cana-4039	288	8	graphed	graph	VERB
cana-4039	288	9	on	on	ADP
cana-4039	288	10	the	the	DET
cana-4039	288	11	x	x	NOUN
cana-4039	288	12	-	-	NOUN
cana-4039	288	13	axis	axis	NOUN
cana-4039	288	14	of	of	ADP
cana-4039	288	15	this	this	DET
cana-4039	288	16	graph	graph	NOUN
cana-4039	288	17	.	.	PUNCT
cana-4039	289	1	the	the	DET
cana-4039	289	2	y	y	NOUN
cana-4039	289	3	-	-	PUNCT
cana-4039	289	4	axis	axis	NOUN
cana-4039	289	5	indicates	indicate	VERB
cana-4039	289	6	the	the	DET
cana-4039	289	7	ratio	ratio	NOUN
cana-4039	289	8	of	of	ADP
cana-4039	289	9	present	present	ADJ
cana-4039	289	10	and	and	CCONJ
cana-4039	289	11	fusion	fusion	NOUN
cana-4039	289	12	ml	ml	NOUN
cana-4039	289	13	approaches	approach	NOUN
cana-4039	289	14	which	which	PRON
cana-4039	289	15	graph	graph	VERB
cana-4039	289	16	the	the	DET
cana-4039	289	17	fmeasure	fmeasure	NOUN
cana-4039	289	18	.	.	PUNCT
cana-4039	290	1	v.	v.	ADP
cana-4039	290	2	conclusion	conclusion	NOUN
cana-4039	290	3	this	this	DET
cana-4039	290	4	paper	paper	NOUN
cana-4039	290	5	concludes	conclude	VERB
cana-4039	290	6	that	that	SCONJ
cana-4039	290	7	fusion	fusion	NOUN
cana-4039	290	8	approaches	approach	NOUN
cana-4039	290	9	and	and	CCONJ
cana-4039	290	10	the	the	DET
cana-4039	290	11	combination	combination	NOUN
cana-4039	290	12	of	of	ADP
cana-4039	290	13	several	several	ADJ
cana-4039	290	14	ml	ml	NOUN
cana-4039	290	15	algorithms	algorithm	NOUN
cana-4039	290	16	are	be	AUX
cana-4039	290	17	critical	critical	ADJ
cana-4039	290	18	for	for	ADP
cana-4039	290	19	improved	improved	ADJ
cana-4039	290	20	classification	classification	NOUN
cana-4039	290	21	performance	performance	NOUN
cana-4039	290	22	.	.	PUNCT
cana-4039	291	1	here	here	ADV
cana-4039	291	2	,	,	PUNCT
cana-4039	291	3	learned	learn	VERB
cana-4039	291	4	about	about	ADP
cana-4039	291	5	four	four	NUM
cana-4039	291	6	popular	popular	ADJ
cana-4039	291	7	algorithms	algorithm	NOUN
cana-4039	291	8	of	of	ADP
cana-4039	291	9	classification	classification	NOUN
cana-4039	291	10	namely	namely	ADV
cana-4039	291	11	svm	svm	PROPN
cana-4039	291	12	,	,	PUNCT
cana-4039	291	13	lr	lr	PROPN
cana-4039	291	14	,	,	PUNCT
cana-4039	291	15	gnb	gnb	PROPN
cana-4039	291	16	,	,	PUNCT
cana-4039	291	17	rfin	rfin	NOUN
cana-4039	291	18	order	order	NOUN
cana-4039	291	19	to	to	PART
cana-4039	291	20	compare	compare	VERB
cana-4039	291	21	methods	method	NOUN
cana-4039	291	22	to	to	PART
cana-4039	291	23	use	use	VERB
cana-4039	291	24	for	for	ADP
cana-4039	291	25	some	some	DET
cana-4039	291	26	data	datum	NOUN
cana-4039	291	27	types	type	NOUN
cana-4039	291	28	or	or	CCONJ
cana-4039	291	29	applications	application	NOUN
cana-4039	291	30	.	.	PUNCT
cana-4039	292	1	fusion	fusion	NOUN
cana-4039	292	2	methods	method	NOUN
cana-4039	292	3	based	base	VERB
cana-4039	292	4	on	on	ADP
cana-4039	292	5	voting	voting	NOUN
cana-4039	292	6	,	,	PUNCT
cana-4039	292	7	stacking	stacking	NOUN
cana-4039	292	8	,	,	PUNCT
cana-4039	292	9	or	or	CCONJ
cana-4039	292	10	weighted	weight	VERB
cana-4039	292	11	averaging	averaging	NOUN
cana-4039	292	12	have	have	AUX
cana-4039	292	13	shown	show	VERB
cana-4039	292	14	some	some	DET
cana-4039	292	15	efficacy	efficacy	NOUN
cana-4039	292	16	in	in	ADP
cana-4039	292	17	enhancing	enhance	VERB
cana-4039	292	18	classification	classification	NOUN
cana-4039	292	19	accuracy	accuracy	NOUN
cana-4039	292	20	and	and	CCONJ
cana-4039	292	21	thereby	thereby	ADV
cana-4039	292	22	mitigating	mitigate	VERB
cana-4039	292	23	the	the	DET
cana-4039	292	24	effects	effect	NOUN
cana-4039	292	25	of	of	ADP
cana-4039	292	26	individual	individual	ADJ
cana-4039	292	27	classifier	classifier	NOUN
cana-4039	292	28	inadequacies	inadequacy	NOUN
cana-4039	292	29	.	.	PUNCT
cana-4039	293	1	these	these	DET
cana-4039	293	2	systems	system	NOUN
cana-4039	293	3	combine	combine	VERB
cana-4039	293	4	many	many	ADJ
cana-4039	293	5	classifier	classifier	NOUN
cana-4039	293	6	characteristics	characteristic	NOUN
cana-4039	293	7	into	into	ADP
cana-4039	293	8	one	one	NUM
cana-4039	293	9	.	.	PUNCT
cana-4039	294	1	the	the	DET
cana-4039	294	2	outcomes	outcome	NOUN
cana-4039	294	3	of	of	ADP
cana-4039	294	4	this	this	DET
cana-4039	294	5	study	study	NOUN
cana-4039	294	6	serve	serve	VERB
cana-4039	294	7	to	to	PART
cana-4039	294	8	clarify	clarify	VERB
cana-4039	294	9	the	the	DET
cana-4039	294	10	usefulness	usefulness	NOUN
cana-4039	294	11	of	of	ADP
cana-4039	294	12	fusion	fusion	NOUN
cana-4039	294	13	approaches	approach	NOUN
cana-4039	294	14	and	and	CCONJ
cana-4039	294	15	different	different	ADJ
cana-4039	294	16	classifier	classifier	NOUN
cana-4039	294	17	combinations	combination	NOUN
cana-4039	294	18	,	,	PUNCT
cana-4039	294	19	allowing	allow	VERB
cana-4039	294	20	for	for	ADP
cana-4039	294	21	the	the	DET
cana-4039	294	22	selection	selection	NOUN
cana-4039	294	23	of	of	ADP
cana-4039	294	24	the	the	DET
cana-4039	294	25	best	good	ADJ
cana-4039	294	26	classification	classification	NOUN
cana-4039	294	27	strategy	strategy	NOUN
cana-4039	294	28	for	for	ADP
cana-4039	294	29	certain	certain	ADJ
cana-4039	294	30	datasets	dataset	NOUN
cana-4039	294	31	.	.	PUNCT
cana-4039	295	1	with	with	ADP
cana-4039	295	2	rates	rate	NOUN
cana-4039	295	3	of	of	ADP
cana-4039	295	4	97.11	97.11	NUM
cana-4039	295	5	%	%	NOUN
cana-4039	295	6	for	for	ADP
cana-4039	295	7	facebook	facebook	NOUN
cana-4039	295	8	,	,	PUNCT
cana-4039	295	9	98.02	98.02	NUM
cana-4039	295	10	%	%	NOUN
cana-4039	295	11	for	for	ADP
cana-4039	295	12	instagram	instagram	PROPN
cana-4039	295	13	,	,	PUNCT
cana-4039	295	14	and	and	CCONJ
cana-4039	295	15	98.99	98.99	NUM
cana-4039	295	16	%	%	NOUN
cana-4039	295	17	for	for	ADP
cana-4039	295	18	youtube	youtube	NOUN
cana-4039	295	19	,	,	PUNCT
cana-4039	295	20	the	the	DET
cana-4039	295	21	proposed	propose	VERB
cana-4039	295	22	technique	technique	NOUN
cana-4039	295	23	consistently	consistently	ADV
cana-4039	295	24	outperforms	outperform	VERB
cana-4039	295	25	previous	previous	ADJ
cana-4039	295	26	strategies	strategy	NOUN
cana-4039	295	27	.	.	PUNCT
cana-4039	296	1	examining	examine	VERB
cana-4039	296	2	fusion	fusion	NOUN
cana-4039	296	3	methods	method	NOUN
cana-4039	296	4	aid	aid	NOUN
cana-4039	296	5	to	to	PART
cana-4039	296	6	improve	improve	VERB
cana-4039	296	7	machine	machine	NOUN
cana-4039	296	8	learning	learn	VERB
cana-4039	296	9	classification	classification	NOUN
cana-4039	296	10	challenges	challenge	NOUN
cana-4039	296	11	by	by	ADP
cana-4039	296	12	providing	provide	VERB
cana-4039	296	13	insight	insight	NOUN
cana-4039	296	14	into	into	ADP
cana-4039	296	15	strategic	strategic	ADJ
cana-4039	296	16	ensemble	ensemble	ADJ
cana-4039	296	17	approach	approach	NOUN
cana-4039	296	18	use	use	NOUN
cana-4039	296	19	.	.	PUNCT
cana-4039	297	1	these	these	DET
cana-4039	297	2	ideas	idea	NOUN
cana-4039	297	3	help	help	VERB
cana-4039	297	4	to	to	PART
cana-4039	297	5	make	make	VERB
cana-4039	297	6	better	well	ADJ
cana-4039	297	7	judgements	judgement	NOUN
cana-4039	297	8	in	in	ADP
cana-4039	297	9	a	a	DET
cana-4039	297	10	variety	variety	NOUN
cana-4039	297	11	of	of	ADP
cana-4039	297	12	situations	situation	NOUN
cana-4039	297	13	.	.	PUNCT
cana-4039	298	1	refernce	refernce	NOUN
cana-4039	298	2	1	1	NUM
cana-4039	298	3	.	.	PUNCT
cana-4039	299	1	y.	y.	PROPN
cana-4039	299	2	li	li	PROPN
cana-4039	299	3	,	,	PUNCT
cana-4039	299	4	h.	h.	PROPN
cana-4039	299	5	gao	gao	PROPN
cana-4039	299	6	,	,	PUNCT
cana-4039	299	7	y.	y.	PROPN
cana-4039	299	8	gao	gao	PROPN
cana-4039	299	9	,	,	PUNCT
cana-4039	299	10	j.	j.	PROPN
cana-4039	299	11	guo	guo	PROPN
cana-4039	299	12	,	,	PUNCT
cana-4039	299	13	and	and	CCONJ
cana-4039	299	14	w.	w.	PROPN
cana-4039	299	15	wu	wu	PROPN
cana-4039	299	16	,	,	PUNCT
cana-4039	299	17	"	"	PUNCT
cana-4039	299	18	a	a	DET
cana-4039	299	19	survey	survey	NOUN
cana-4039	299	20	on	on	ADP
cana-4039	299	21	influence	influence	NOUN
cana-4039	299	22	maximization	maximization	NOUN
cana-4039	299	23	:	:	PUNCT
cana-4039	299	24	from	from	ADP
cana-4039	299	25	an	an	DET
cana-4039	299	26	ml	ml	ADV
cana-4039	299	27	-	-	PUNCT
cana-4039	299	28	based	base	VERB
cana-4039	299	29	combinatorial	combinatorial	ADJ
cana-4039	299	30	optimization	optimization	NOUN
cana-4039	299	31	,	,	PUNCT
cana-4039	299	32	"	"	PUNCT
cana-4039	299	33	acm	acm	NOUN
cana-4039	299	34	transactions	transaction	NOUN
cana-4039	299	35	on	on	ADP
cana-4039	299	36	knowledge	knowledge	NOUN
cana-4039	299	37	discovery	discovery	NOUN
cana-4039	299	38	from	from	ADP
cana-4039	299	39	data	data	PROPN
cana-4039	299	40	,	,	PUNCT
cana-4039	299	41	vol	vol	NOUN
cana-4039	299	42	.	.	PROPN
cana-4039	299	43	17	17	NUM
cana-4039	299	44	,	,	PUNCT
cana-4039	299	45	no	no	INTJ
cana-4039	299	46	.	.	NOUN
cana-4039	299	47	9	9	NUM
cana-4039	299	48	,	,	PUNCT
cana-4039	299	49	pp	pp	ADJ
cana-4039	299	50	.	.	PUNCT
cana-4039	300	1	1	1	NUM
cana-4039	300	2	–	–	PUNCT
cana-4039	300	3	50	50	NUM
cana-4039	300	4	,	,	PUNCT
cana-4039	300	5	2023	2023	NUM
cana-4039	300	6	.	.	X
cana-4039	301	1	2	2	NUM
cana-4039	301	2	.	.	PUNCT
cana-4039	301	3	q.	q.	PROPN
cana-4039	301	4	nong	nong	PROPN
cana-4039	301	5	,	,	PUNCT
cana-4039	301	6	z.	z.	PROPN
cana-4039	301	7	guo	guo	PROPN
cana-4039	301	8	,	,	PUNCT
cana-4039	301	9	and	and	CCONJ
cana-4039	301	10	s.	s.	PROPN
cana-4039	301	11	gong	gong	PROPN
cana-4039	301	12	,	,	PUNCT
cana-4039	301	13	"	"	PUNCT
cana-4039	301	14	regularized	regularize	VERB
cana-4039	301	15	submodular	submodular	ADJ
cana-4039	301	16	maximization	maximization	NOUN
cana-4039	301	17	with	with	ADP
cana-4039	301	18	a	a	DET
cana-4039	301	19	k	k	ADJ
cana-4039	301	20	-	-	ADJ
cana-4039	301	21	matroid	matroid	ADJ
cana-4039	301	22	intersection	intersection	NOUN
cana-4039	301	23	constraint	constraint	NOUN
cana-4039	301	24	,	,	PUNCT
cana-4039	301	25	"	"	PUNCT
cana-4039	301	26	ieee	ieee	NOUN
cana-4039	301	27	access	access	NOUN
cana-4039	301	28	,	,	PUNCT
cana-4039	301	29	vol	vol	NOUN
cana-4039	301	30	.	.	PROPN
cana-4039	301	31	11	11	NUM
cana-4039	301	32	,	,	PUNCT
cana-4039	301	33	pp	pp	ADJ
cana-4039	301	34	.	.	PUNCT
cana-4039	301	35	103830–103838	103830–103838	NUM
cana-4039	301	36	,	,	PUNCT
cana-4039	301	37	2023	2023	NUM
cana-4039	301	38	,	,	PUNCT
cana-4039	301	39	doi	doi	NOUN
cana-4039	301	40	:	:	PUNCT
cana-4039	301	41	10.1109	10.1109	NUM
cana-4039	301	42	/	/	SYM
cana-4039	301	43	access.2023.3317691	access.2023.3317691	ADJ
cana-4039	301	44	.	.	PUNCT
cana-4039	302	1	3	3	NUM
cana-4039	302	2	.	.	PUNCT
cana-4039	302	3	a.	a.	NOUN
cana-4039	302	4	matakos	matakos	PROPN
cana-4039	302	5	,	,	PUNCT
cana-4039	302	6	c.	c.	PROPN
cana-4039	302	7	aslay	aslay	PROPN
cana-4039	302	8	,	,	PUNCT
cana-4039	302	9	e.	e.	PROPN
cana-4039	302	10	galbrun	galbrun	PROPN
cana-4039	302	11	,	,	PUNCT
cana-4039	302	12	and	and	CCONJ
cana-4039	302	13	a.	a.	NOUN
cana-4039	302	14	gionwas	gionwa	VERB
cana-4039	302	15	,	,	PUNCT
cana-4039	302	16	"	"	PUNCT
cana-4039	302	17	maximizing	maximize	VERB
cana-4039	302	18	the	the	DET
cana-4039	302	19	diversity	diversity	NOUN
cana-4039	302	20	of	of	ADP
cana-4039	302	21	exposure	exposure	NOUN
cana-4039	302	22	in	in	ADP
cana-4039	302	23	a	a	DET
cana-4039	302	24	social	social	ADJ
cana-4039	302	25	network	network	NOUN
cana-4039	302	26	,	,	PUNCT
cana-4039	302	27	"	"	PUNCT
cana-4039	302	28	ieee	ieee	NOUN
cana-4039	302	29	transactions	transaction	NOUN
cana-4039	302	30	on	on	ADP
cana-4039	302	31	knowledge	knowledge	NOUN
cana-4039	302	32	and	and	CCONJ
cana-4039	302	33	data	datum	NOUN
cana-4039	302	34	engineering	engineering	NOUN
cana-4039	302	35	,	,	PUNCT
cana-4039	302	36	vol	vol	NOUN
cana-4039	302	37	.	.	PROPN
cana-4039	303	1	34	34	NUM
cana-4039	303	2	,	,	PUNCT
cana-4039	303	3	no	no	INTJ
cana-4039	303	4	.	.	NOUN
cana-4039	303	5	9	9	NUM
cana-4039	303	6	,	,	PUNCT
cana-4039	303	7	pp	pp	ADJ
cana-4039	303	8	.	.	PUNCT
cana-4039	304	1	4357–4370	4357–4370	NUM
cana-4039	304	2	,	,	PUNCT
cana-4039	304	3	sept	sept	PROPN
cana-4039	304	4	.	.	PROPN
cana-4039	304	5	2022	2022	NUM
cana-4039	304	6	,	,	PUNCT
cana-4039	304	7	doi	doi	NOUN
cana-4039	304	8	:	:	PUNCT
cana-4039	304	9	10.1109	10.1109	NUM
cana-4039	304	10	/	/	SYM
cana-4039	304	11	tkde.2020.3038711	tkde.2020.3038711	NOUN
cana-4039	304	12	.	.	PUNCT
cana-4039	305	1	4	4	X
cana-4039	305	2	.	.	PUNCT
cana-4039	305	3	h.	h.	PROPN
cana-4039	305	4	hu	hu	PROPN
cana-4039	305	5	,	,	PUNCT
cana-4039	305	6	y.	y.	PROPN
cana-4039	305	7	wen	wen	PROPN
cana-4039	305	8	,	,	PUNCT
cana-4039	305	9	and	and	CCONJ
cana-4039	305	10	s.	s.	PROPN
cana-4039	305	11	feng	feng	PROPN
cana-4039	305	12	,	,	PUNCT
cana-4039	305	13	"	"	PUNCT
cana-4039	305	14	budget	budget	NOUN
cana-4039	305	15	-	-	PUNCT
cana-4039	305	16	efficient	efficient	ADJ
cana-4039	305	17	viral	viral	ADJ
cana-4039	305	18	video	video	NOUN
cana-4039	305	19	distribution	distribution	NOUN
cana-4039	305	20	over	over	ADP
cana-4039	305	21	online	online	ADJ
cana-4039	305	22	social	social	ADJ
cana-4039	305	23	networks	network	NOUN
cana-4039	305	24	:	:	PUNCT
cana-4039	305	25	mining	mining	NOUN
cana-4039	305	26	topic	topic	NOUN
cana-4039	305	27	-	-	PUNCT
cana-4039	305	28	aware	aware	ADJ
cana-4039	305	29	influential	influential	ADJ
cana-4039	305	30	users	user	NOUN
cana-4039	305	31	,	,	PUNCT
cana-4039	305	32	"	"	PUNCT
cana-4039	305	33	ieee	ieee	NOUN
cana-4039	305	34	transactions	transaction	NOUN
cana-4039	305	35	on	on	ADP
cana-4039	305	36	circuits	circuit	NOUN
cana-4039	305	37	and	and	CCONJ
cana-4039	305	38	systems	system	NOUN
cana-4039	305	39	for	for	ADP
cana-4039	305	40	video	video	NOUN
cana-4039	305	41	technology	technology	NOUN
cana-4039	305	42	,	,	PUNCT
cana-4039	305	43	vol	vol	NOUN
cana-4039	305	44	.	.	PROPN
cana-4039	305	45	28	28	NUM
cana-4039	305	46	,	,	PUNCT
cana-4039	305	47	no	no	INTJ
cana-4039	305	48	.	.	NOUN
cana-4039	305	49	3	3	NUM
cana-4039	305	50	,	,	PUNCT
cana-4039	305	51	pp	pp	ADJ
cana-4039	305	52	.	.	PUNCT
cana-4039	306	1	759–771	759–771	NUM
cana-4039	306	2	,	,	PUNCT
cana-4039	306	3	2016	2016	NUM
cana-4039	306	4	.	.	PUNCT
cana-4039	307	1	5	5	NUM
cana-4039	307	2	.	.	PUNCT
cana-4039	307	3	k.	k.	PROPN
cana-4039	307	4	kandhway	kandhway	PROPN
cana-4039	307	5	and	and	CCONJ
cana-4039	307	6	j.	j.	PROPN
cana-4039	307	7	kuri	kuri	PROPN
cana-4039	307	8	,	,	PUNCT
cana-4039	307	9	"	"	PUNCT
cana-4039	307	10	using	use	VERB
cana-4039	307	11	node	node	ADJ
cana-4039	307	12	centrality	centrality	NOUN
cana-4039	307	13	and	and	CCONJ
cana-4039	307	14	optimal	optimal	ADJ
cana-4039	307	15	control	control	NOUN
cana-4039	307	16	to	to	PART
cana-4039	307	17	maximize	maximize	VERB
cana-4039	307	18	information	information	NOUN
cana-4039	307	19	diffusion	diffusion	NOUN
cana-4039	307	20	in	in	ADP
cana-4039	307	21	social	social	ADJ
cana-4039	307	22	networks	network	NOUN
cana-4039	307	23	,	,	PUNCT
cana-4039	307	24	"	"	PUNCT
cana-4039	307	25	ieee	ieee	NOUN
cana-4039	307	26	transactions	transaction	NOUN
cana-4039	307	27	on	on	ADP
cana-4039	307	28	systems	system	NOUN
cana-4039	307	29	,	,	PUNCT
cana-4039	307	30	man	man	NOUN
cana-4039	307	31	,	,	PUNCT
cana-4039	307	32	and	and	CCONJ
cana-4039	307	33	cybernetics	cybernetic	NOUN
cana-4039	307	34	:	:	PUNCT
cana-4039	307	35	systems	system	NOUN
cana-4039	307	36	,	,	PUNCT
cana-4039	307	37	vol	vol	NOUN
cana-4039	307	38	.	.	PROPN
cana-4039	308	1	47	47	NUM
cana-4039	308	2	,	,	PUNCT
cana-4039	308	3	no	no	INTJ
cana-4039	308	4	.	.	NOUN
cana-4039	308	5	7	7	NUM
cana-4039	308	6	,	,	PUNCT
cana-4039	308	7	pp	pp	ADJ
cana-4039	308	8	.	.	PUNCT
cana-4039	309	1	1099–1110	1099–1110	NUM
cana-4039	309	2	,	,	PUNCT
cana-4039	309	3	july	july	PROPN
cana-4039	309	4	2017	2017	NUM
cana-4039	309	5	,	,	PUNCT
cana-4039	309	6	doi	doi	NOUN
cana-4039	309	7	:	:	PUNCT
cana-4039	309	8	10.1109	10.1109	NUM
cana-4039	309	9	/	/	SYM
cana-4039	309	10	tsmc.2016.2531690	tsmc.2016.2531690	PROPN
cana-4039	309	11	.	.	NOUN
cana-4039	310	1	6	6	NUM
cana-4039	310	2	.	.	PUNCT
cana-4039	310	3	w.	w.	PROPN
cana-4039	310	4	yang	yang	PROPN
cana-4039	310	5	,	,	PUNCT
cana-4039	310	6	j.	j.	PROPN
cana-4039	310	7	yuan	yuan	PROPN
cana-4039	310	8	,	,	PUNCT
cana-4039	310	9	w.	w.	PROPN
cana-4039	310	10	wu	wu	PROPN
cana-4039	310	11	,	,	PUNCT
cana-4039	310	12	j.	j.	PROPN
cana-4039	310	13	ma	ma	PROPN
cana-4039	310	14	,	,	PUNCT
cana-4039	310	15	and	and	CCONJ
cana-4039	310	16	d.	d.	PROPN
cana-4039	310	17	z.	z.	PROPN
cana-4039	310	18	du	du	PROPN
cana-4039	310	19	,	,	PUNCT
cana-4039	310	20	"	"	PUNCT
cana-4039	310	21	maximizing	maximize	VERB
cana-4039	310	22	activity	activity	NOUN
cana-4039	310	23	profit	profit	NOUN
cana-4039	310	24	in	in	ADP
cana-4039	310	25	social	social	ADJ
cana-4039	310	26	networks	network	NOUN
cana-4039	310	27	,	,	PUNCT
cana-4039	310	28	"	"	PUNCT
cana-4039	310	29	ieee	ieee	NOUN
cana-4039	310	30	transactions	transaction	NOUN
cana-4039	310	31	on	on	ADP
cana-4039	310	32	computational	computational	ADJ
cana-4039	310	33	social	social	ADJ
cana-4039	310	34	systems	system	NOUN
cana-4039	310	35	,	,	PUNCT
cana-4039	310	36	vol	vol	NOUN
cana-4039	310	37	.	.	PROPN
cana-4039	311	1	6	6	NUM
cana-4039	311	2	,	,	PUNCT
cana-4039	311	3	no	no	INTJ
cana-4039	311	4	.	.	NOUN
cana-4039	311	5	1	1	NUM
cana-4039	311	6	,	,	PUNCT
cana-4039	311	7	pp	pp	ADJ
cana-4039	311	8	.	.	PUNCT
cana-4039	312	1	117–126	117–126	NUM
cana-4039	312	2	,	,	PUNCT
cana-4039	312	3	2019	2019	NUM
cana-4039	312	4	.	.	PUNCT
cana-4039	313	1	7	7	X
cana-4039	313	2	.	.	PUNCT
cana-4039	313	3	j.	j.	PROPN
cana-4039	313	4	tong	tong	PROPN
cana-4039	313	5	,	,	PUNCT
cana-4039	313	6	l.	l.	PROPN
cana-4039	313	7	shi	shi	PROPN
cana-4039	313	8	,	,	PUNCT
cana-4039	313	9	l.	l.	PROPN
cana-4039	313	10	liu	liu	PROPN
cana-4039	313	11	,	,	PUNCT
cana-4039	313	12	j.	j.	PROPN
cana-4039	313	13	panneerselvam	panneerselvam	PROPN
cana-4039	313	14	,	,	PUNCT
cana-4039	313	15	and	and	CCONJ
cana-4039	313	16	z.	z.	PROPN
cana-4039	313	17	han	han	PROPN
cana-4039	313	18	,	,	PUNCT
cana-4039	313	19	"	"	PUNCT
cana-4039	313	20	a	a	DET
cana-4039	313	21	novel	novel	ADJ
cana-4039	313	22	influence	influence	NOUN
cana-4039	313	23	maximization	maximization	NOUN
cana-4039	313	24	algorithm	algorithm	NOUN
cana-4039	313	25	for	for	ADP
cana-4039	313	26	a	a	DET
cana-4039	313	27	competitive	competitive	ADJ
cana-4039	313	28	environment	environment	NOUN
cana-4039	313	29	based	base	VERB
cana-4039	313	30	on	on	ADP
cana-4039	313	31	social	social	ADJ
cana-4039	313	32	media	medium	NOUN
cana-4039	313	33	data	datum	NOUN
cana-4039	313	34	analytics	analytic	NOUN
cana-4039	313	35	,	,	PUNCT
cana-4039	313	36	"	"	PUNCT
cana-4039	313	37	big	big	ADJ
cana-4039	313	38	data	datum	NOUN
cana-4039	313	39	mining	mining	NOUN
cana-4039	313	40	and	and	CCONJ
cana-4039	313	41	analytics	analytic	NOUN
cana-4039	313	42	,	,	PUNCT
cana-4039	313	43	vol	vol	NOUN
cana-4039	313	44	.	.	PROPN
cana-4039	313	45	5	5	NUM
cana-4039	313	46	,	,	PUNCT
cana-4039	313	47	no	no	INTJ
cana-4039	313	48	.	.	NOUN
cana-4039	313	49	2	2	NUM
cana-4039	313	50	,	,	PUNCT
cana-4039	313	51	pp	pp	ADJ
cana-4039	313	52	.	.	PUNCT
cana-4039	314	1	130–139	130–139	NUM
cana-4039	314	2	,	,	PUNCT
cana-4039	314	3	2022	2022	NUM
cana-4039	314	4	.	.	PUNCT
cana-4039	315	1	8	8	NUM
cana-4039	315	2	.	.	PUNCT
cana-4039	315	3	h.	h.	PROPN
cana-4039	315	4	khavandi	khavandi	PROPN
cana-4039	315	5	,	,	PUNCT
cana-4039	315	6	b.	b.	PROPN
cana-4039	315	7	n.	n.	PROPN
cana-4039	315	8	moghadam	moghadam	PROPN
cana-4039	315	9	,	,	PUNCT
cana-4039	315	10	j.	j.	PROPN
cana-4039	315	11	abdollahi	abdollahi	PROPN
cana-4039	315	12	,	,	PUNCT
cana-4039	315	13	and	and	CCONJ
cana-4039	315	14	a.	a.	NOUN
cana-4039	315	15	branch	branch	NOUN
cana-4039	315	16	,	,	PUNCT
cana-4039	315	17	"	"	PUNCT
cana-4039	315	18	maximizing	maximize	VERB
cana-4039	315	19	the	the	DET
cana-4039	315	20	impact	impact	NOUN
cana-4039	315	21	on	on	ADP
cana-4039	315	22	social	social	ADJ
cana-4039	315	23	networks	network	NOUN
cana-4039	315	24	using	use	VERB
cana-4039	315	25	the	the	DET
cana-4039	315	26	combination	combination	NOUN
cana-4039	315	27	of	of	ADP
cana-4039	315	28	pso	pso	NOUN
cana-4039	315	29	and	and	CCONJ
cana-4039	315	30	ga	ga	PROPN
cana-4039	315	31	algorithms	algorithm	NOUN
cana-4039	315	32	,	,	PUNCT
cana-4039	315	33	"	"	PUNCT
cana-4039	315	34	future	future	ADJ
cana-4039	315	35	generation	generation	NOUN
cana-4039	315	36	in	in	ADP
cana-4039	315	37	distributed	distribute	VERB
cana-4039	315	38	systems	system	NOUN
cana-4039	315	39	,	,	PUNCT
cana-4039	315	40	vol	vol	NOUN
cana-4039	315	41	.	.	PROPN
cana-4039	315	42	5	5	NUM
cana-4039	315	43	,	,	PUNCT
cana-4039	315	44	pp	pp	ADJ
cana-4039	315	45	.	.	PUNCT
cana-4039	316	1	1–13	1–13	NOUN
cana-4039	316	2	,	,	PUNCT
cana-4039	316	3	2023	2023	NUM
cana-4039	316	4	.	.	PUNCT
cana-4039	317	1	9	9	NUM
cana-4039	317	2	.	.	PUNCT
cana-4039	317	3	t.	t.	PROPN
cana-4039	317	4	cai	cai	PROPN
cana-4039	317	5	,	,	PUNCT
cana-4039	317	6	j.	j.	PROPN
cana-4039	317	7	li	li	PROPN
cana-4039	317	8	,	,	PUNCT
cana-4039	317	9	a.	a.	PROPN
cana-4039	317	10	mian	mian	PROPN
cana-4039	317	11	,	,	PUNCT
cana-4039	317	12	r.	r.	PROPN
cana-4039	317	13	h.	h.	PROPN
cana-4039	317	14	li	li	PROPN
cana-4039	317	15	,	,	PUNCT
cana-4039	317	16	t.	t.	PROPN
cana-4039	317	17	sellis	sellis	PROPN
cana-4039	317	18	,	,	PUNCT
cana-4039	317	19	and	and	CCONJ
cana-4039	317	20	j.	j.	PROPN
cana-4039	317	21	x.	x.	PROPN
cana-4039	317	22	yu	yu	PROPN
cana-4039	317	23	,	,	PUNCT
cana-4039	317	24	"	"	PUNCT
cana-4039	317	25	target	target	NOUN
cana-4039	317	26	-	-	PUNCT
cana-4039	317	27	aware	aware	ADJ
cana-4039	317	28	holistic	holistic	ADJ
cana-4039	317	29	influence	influence	NOUN
cana-4039	317	30	maximization	maximization	NOUN
cana-4039	317	31	in	in	ADP
cana-4039	317	32	spatial	spatial	ADJ
cana-4039	317	33	social	social	ADJ
cana-4039	317	34	networks	network	NOUN
cana-4039	317	35	,	,	PUNCT
cana-4039	317	36	"	"	PUNCT
cana-4039	317	37	ieee	ieee	NOUN
cana-4039	317	38	transactions	transaction	NOUN
cana-4039	317	39	on	on	ADP
cana-4039	317	40	knowledge	knowledge	NOUN
cana-4039	317	41	and	and	CCONJ
cana-4039	317	42	data	datum	NOUN
cana-4039	317	43	engineering	engineering	NOUN
cana-4039	317	44	,	,	PUNCT
cana-4039	317	45	vol	vol	NOUN
cana-4039	317	46	.	.	PROPN
cana-4039	318	1	34	34	NUM
cana-4039	318	2	,	,	PUNCT
cana-4039	318	3	no	no	INTJ
cana-4039	318	4	.	.	NOUN
cana-4039	318	5	4	4	NUM
cana-4039	318	6	,	,	PUNCT
cana-4039	318	7	pp	pp	ADJ
cana-4039	318	8	.	.	PUNCT
cana-4039	319	1	1993–2007	1993–2007	NUM
cana-4039	319	2	,	,	PUNCT
cana-4039	319	3	2020	2020	NUM
cana-4039	319	4	.	.	PUNCT
cana-4039	320	1	communications	communication	NOUN
cana-4039	320	2	on	on	ADP
cana-4039	320	3	applied	apply	VERB
cana-4039	320	4	nonlinear	nonlinear	ADJ
cana-4039	320	5	analysis	analysis	NOUN
cana-4039	320	6	issn	issn	NOUN
cana-4039	320	7	:	:	PUNCT
cana-4039	320	8	1074	1074	NUM
cana-4039	320	9	-	-	PUNCT
cana-4039	320	10	133x	133x	NUM
cana-4039	320	11	vol	vol	NOUN
cana-4039	320	12	32	32	NUM
cana-4039	320	13	no	no	NOUN
cana-4039	320	14	.	.	PUNCT
cana-4039	321	1	9s	9s	NUM
cana-4039	321	2	(	(	PUNCT
cana-4039	321	3	2025	2025	NUM
cana-4039	321	4	)	)	PUNCT
cana-4039	321	5	924	924	NUM
cana-4039	321	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4039	321	7	10	10	NUM
cana-4039	321	8	.	.	PUNCT
cana-4039	322	1	j.	j.	PROPN
cana-4039	322	2	guo	guo	PROPN
cana-4039	322	3	and	and	CCONJ
cana-4039	322	4	w.	w.	PROPN
cana-4039	322	5	wu	wu	PROPN
cana-4039	322	6	,	,	PUNCT
cana-4039	322	7	"	"	PUNCT
cana-4039	322	8	a	a	DET
cana-4039	322	9	novel	novel	ADJ
cana-4039	322	10	scene	scene	NOUN
cana-4039	322	11	of	of	ADP
cana-4039	322	12	viral	viral	ADJ
cana-4039	322	13	marketing	marketing	NOUN
cana-4039	322	14	for	for	ADP
cana-4039	322	15	complementary	complementary	ADJ
cana-4039	322	16	products	product	NOUN
cana-4039	322	17	,	,	PUNCT
cana-4039	322	18	"	"	PUNCT
cana-4039	322	19	ieee	ieee	NOUN
cana-4039	322	20	transactions	transaction	NOUN
cana-4039	322	21	on	on	ADP
cana-4039	322	22	computational	computational	ADJ
cana-4039	322	23	social	social	ADJ
cana-4039	322	24	systems	system	NOUN
cana-4039	322	25	,	,	PUNCT
cana-4039	322	26	vol	vol	NOUN
cana-4039	322	27	.	.	PROPN
cana-4039	322	28	6	6	NUM
cana-4039	322	29	,	,	PUNCT
cana-4039	322	30	no	no	INTJ
cana-4039	322	31	.	.	NOUN
cana-4039	322	32	4	4	NUM
cana-4039	322	33	,	,	PUNCT
cana-4039	322	34	pp	pp	ADJ
cana-4039	322	35	.	.	PUNCT
cana-4039	323	1	797–808	797–808	NUM
cana-4039	323	2	,	,	PUNCT
cana-4039	323	3	aug	aug	PROPN
cana-4039	323	4	.	.	PROPN
cana-4039	323	5	2019	2019	NUM
cana-4039	323	6	,	,	PUNCT
cana-4039	323	7	doi	doi	NOUN
cana-4039	323	8	:	:	PUNCT
cana-4039	323	9	10.1109	10.1109	NUM
cana-4039	323	10	/	/	SYM
cana-4039	323	11	tcss.2019.2926112	tcss.2019.2926112	PROPN
cana-4039	323	12	.	.	PUNCT
cana-4039	324	1	11	11	NUM
cana-4039	324	2	.	.	PUNCT
cana-4039	325	1	y.	y.	NOUN
cana-4039	325	2	ye	ye	PROPN
cana-4039	325	3	,	,	PUNCT
cana-4039	325	4	y.	y.	PROPN
cana-4039	325	5	chen	chen	PROPN
cana-4039	325	6	,	,	PUNCT
cana-4039	325	7	and	and	CCONJ
cana-4039	325	8	w.	w.	PROPN
cana-4039	325	9	han	han	PROPN
cana-4039	325	10	,	,	PUNCT
cana-4039	325	11	"	"	PUNCT
cana-4039	325	12	influence	influence	NOUN
cana-4039	325	13	maximization	maximization	NOUN
cana-4039	325	14	in	in	ADP
cana-4039	325	15	social	social	ADJ
cana-4039	325	16	networks	network	NOUN
cana-4039	325	17	:	:	PUNCT
cana-4039	325	18	theories	theory	NOUN
cana-4039	325	19	,	,	PUNCT
cana-4039	325	20	methods	method	NOUN
cana-4039	325	21	and	and	CCONJ
cana-4039	325	22	challenges	challenge	NOUN
cana-4039	325	23	,	,	PUNCT
cana-4039	325	24	"	"	PUNCT
cana-4039	325	25	array	array	NOUN
cana-4039	325	26	,	,	PUNCT
cana-4039	325	27	vol	vol	NOUN
cana-4039	325	28	.	.	PROPN
cana-4039	326	1	16	16	NUM
cana-4039	326	2	,	,	PUNCT
cana-4039	326	3	p.	p.	NOUN
cana-4039	326	4	100264	100264	NUM
cana-4039	326	5	,	,	PUNCT
cana-4039	326	6	2022	2022	NUM
cana-4039	326	7	.	.	PUNCT
cana-4039	327	1	12	12	NUM
cana-4039	327	2	.	.	PUNCT
cana-4039	328	1	x.	x.	NOUN
cana-4039	328	2	he	he	PRON
cana-4039	328	3	and	and	CCONJ
cana-4039	328	4	d.	d.	PROPN
cana-4039	328	5	kempe	kempe	PROPN
cana-4039	328	6	,	,	PUNCT
cana-4039	328	7	"	"	PUNCT
cana-4039	328	8	stability	stability	NOUN
cana-4039	328	9	of	of	ADP
cana-4039	328	10	influence	influence	NOUN
cana-4039	328	11	maximization	maximization	NOUN
cana-4039	328	12	,	,	PUNCT
cana-4039	328	13	"	"	PUNCT
cana-4039	328	14	in	in	ADP
cana-4039	328	15	proc	proc	NOUN
cana-4039	328	16	.	.	PUNCT
cana-4039	329	1	20th	20th	ADJ
cana-4039	329	2	acm	acm	PROPN
cana-4039	329	3	sigkdd	sigkdd	NOUN
cana-4039	329	4	int	int	NOUN
cana-4039	329	5	.	.	PUNCT
cana-4039	329	6	conf	conf	NOUN
cana-4039	329	7	.	.	PUNCT
cana-4039	330	1	on	on	ADP
cana-4039	330	2	knowledge	knowledge	NOUN
cana-4039	330	3	discovery	discovery	PROPN
cana-4039	330	4	and	and	CCONJ
cana-4039	330	5	data	datum	NOUN
cana-4039	330	6	mining	mining	NOUN
cana-4039	330	7	,	,	PUNCT
cana-4039	330	8	2014	2014	NUM
cana-4039	330	9	,	,	PUNCT
cana-4039	330	10	pp	pp	ADJ
cana-4039	330	11	.	.	PUNCT
cana-4039	330	12	1256–1265	1256–1265	NUM
cana-4039	330	13	.	.	PUNCT
cana-4039	330	14	13	13	NUM
cana-4039	330	15	.	.	PUNCT
cana-4039	330	16	a.	a.	PROPN
cana-4039	330	17	das	das	PROPN
cana-4039	330	18	and	and	CCONJ
cana-4039	330	19	d.	d.	PROPN
cana-4039	330	20	kempe	kempe	PROPN
cana-4039	330	21	,	,	PUNCT
cana-4039	330	22	"	"	PUNCT
cana-4039	330	23	submodular	submodular	ADJ
cana-4039	330	24	meets	meet	VERB
cana-4039	330	25	spectral	spectral	ADJ
cana-4039	330	26	:	:	PUNCT
cana-4039	330	27	greedy	greedy	ADJ
cana-4039	330	28	algorithms	algorithm	NOUN
cana-4039	330	29	for	for	ADP
cana-4039	330	30	subset	subset	NOUN
cana-4039	330	31	selection	selection	NOUN
cana-4039	330	32	,	,	PUNCT
cana-4039	330	33	sparse	sparse	ADJ
cana-4039	330	34	approximation	approximation	NOUN
cana-4039	330	35	and	and	CCONJ
cana-4039	330	36	dictionary	dictionary	ADJ
cana-4039	330	37	selection	selection	NOUN
cana-4039	330	38	,	,	PUNCT
cana-4039	330	39	"	"	PUNCT
cana-4039	330	40	arxiv	arxiv	PROPN
cana-4039	330	41	preprint	preprint	VERB
cana-4039	330	42	arxiv:1102.3975	arxiv:1102.3975	PROPN
cana-4039	330	43	,	,	PUNCT
cana-4039	330	44	2011	2011	NUM
cana-4039	330	45	.	.	PUNCT
cana-4039	331	1	14	14	NUM
cana-4039	331	2	.	.	PUNCT
cana-4039	332	1	h.	h.	PROPN
cana-4039	332	2	li	li	PROPN
cana-4039	332	3	,	,	PUNCT
cana-4039	332	4	s.	s.	PROPN
cana-4039	332	5	s.	s.	PROPN
cana-4039	332	6	bhowmick	bhowmick	PROPN
cana-4039	332	7	,	,	PUNCT
cana-4039	332	8	and	and	CCONJ
cana-4039	332	9	a.	a.	NOUN
cana-4039	332	10	sun	sun	PROPN
cana-4039	332	11	,	,	PUNCT
cana-4039	332	12	"	"	PUNCT
cana-4039	332	13	casino	casino	NOUN
cana-4039	332	14	:	:	PUNCT
cana-4039	332	15	towards	towards	ADP
cana-4039	332	16	conformity	conformity	NOUN
cana-4039	332	17	-	-	PUNCT
cana-4039	332	18	aware	aware	ADJ
cana-4039	332	19	social	social	ADJ
cana-4039	332	20	influence	influence	NOUN
cana-4039	332	21	analysis	analysis	NOUN
cana-4039	332	22	in	in	ADP
cana-4039	332	23	online	online	ADJ
cana-4039	332	24	social	social	ADJ
cana-4039	332	25	networks	network	NOUN
cana-4039	332	26	,	,	PUNCT
cana-4039	332	27	"	"	PUNCT
cana-4039	332	28	in	in	ADP
cana-4039	332	29	proc	proc	NOUN
cana-4039	332	30	.	.	PUNCT
cana-4039	333	1	20th	20th	ADJ
cana-4039	333	2	acm	acm	PROPN
cana-4039	333	3	int	int	PROPN
cana-4039	333	4	.	.	PUNCT
cana-4039	333	5	conf	conf	PROPN
cana-4039	333	6	.	.	PUNCT
cana-4039	334	1	on	on	ADP
cana-4039	334	2	information	information	NOUN
cana-4039	334	3	and	and	CCONJ
cana-4039	334	4	knowledge	knowledge	NOUN
cana-4039	334	5	management	management	NOUN
cana-4039	334	6	,	,	PUNCT
cana-4039	334	7	2011	2011	NUM
cana-4039	334	8	,	,	PUNCT
cana-4039	334	9	pp	pp	ADJ
cana-4039	334	10	.	.	PUNCT
cana-4039	334	11	1007–1012	1007–1012	NUM
cana-4039	334	12	.	.	PUNCT
cana-4039	334	13	15	15	NUM
cana-4039	334	14	.	.	X
cana-4039	334	15	umamaheshwarip	umamaheshwarip	NOUN
cana-4039	334	16	,	,	PUNCT
cana-4039	334	17	dr	dr	PROPN
cana-4039	334	18	.	.	PROPN
cana-4039	334	19	a.kumar	a.kumar	PROPN
cana-4039	334	20	kombaiya	kombaiya	PROPN
cana-4039	334	21	a	a	DET
cana-4039	334	22	comprehensive	comprehensive	ADJ
cana-4039	334	23	analysis	analysis	NOUN
cana-4039	334	24	on	on	ADP
cana-4039	334	25	social	social	ADJ
cana-4039	334	26	media	medium	NOUN
cana-4039	334	27	influence	influence	NOUN
cana-4039	334	28	maximization	maximization	NOUN
cana-4039	334	29	and	and	CCONJ
cana-4039	334	30	social	social	ADJ
cana-4039	334	31	recommendation	recommendation	NOUN
cana-4039	334	32	:	:	PUNCT
cana-4039	334	33	a	a	DET
cana-4039	334	34	survey	survey	NOUN
cana-4039	334	35	,	,	PUNCT
cana-4039	334	36	international	international	ADJ
cana-4039	334	37	journal	journal	NOUN
cana-4039	334	38	of	of	ADP
cana-4039	334	39	creative	creative	ADJ
cana-4039	334	40	research	research	NOUN
cana-4039	334	41	thoughts	thought	NOUN
cana-4039	334	42	(	(	PUNCT
cana-4039	334	43	ijcrt	ijcrt	NOUN
cana-4039	334	44	)	)	PUNCT
cana-4039	334	45	volume	volume	NOUN
cana-4039	334	46	11	11	NUM
cana-4039	334	47	,	,	PUNCT
cana-4039	334	48	issue	issue	NOUN
cana-4039	334	49	10	10	NUM
cana-4039	334	50	october	october	PROPN
cana-4039	334	51	2023	2023	NUM
cana-4039	334	52	|	|	ADV
cana-4039	334	53	issn	issn	PROPN
cana-4039	334	54	:	:	PUNCT
cana-4039	334	55	2320	2320	NUM
cana-4039	334	56	-	-	SYM
cana-4039	334	57	2882	2882	NUM
cana-4039	334	58	16	16	NUM
cana-4039	334	59	.	.	PUNCT
cana-4039	335	1	j.	j.	PROPN
cana-4039	335	2	tang	tang	PROPN
cana-4039	335	3	,	,	PUNCT
cana-4039	335	4	s.	s.	PROPN
cana-4039	335	5	wu	wu	PROPN
cana-4039	335	6	,	,	PUNCT
cana-4039	335	7	and	and	CCONJ
cana-4039	335	8	j.	j.	PROPN
cana-4039	335	9	sun	sun	PROPN
cana-4039	335	10	,	,	PUNCT
cana-4039	335	11	"	"	PUNCT
cana-4039	335	12	confluence	confluence	NOUN
cana-4039	335	13	:	:	PUNCT
cana-4039	335	14	conformity	conformity	NOUN
cana-4039	335	15	influence	influence	NOUN
cana-4039	335	16	in	in	ADP
cana-4039	335	17	large	large	ADJ
cana-4039	335	18	social	social	ADJ
cana-4039	335	19	networks	network	NOUN
cana-4039	335	20	,	,	PUNCT
cana-4039	335	21	"	"	PUNCT
cana-4039	335	22	in	in	ADP
cana-4039	335	23	proc	proc	NOUN
cana-4039	335	24	.	.	PUNCT
cana-4039	336	1	19th	19th	ADJ
cana-4039	336	2	acm	acm	PROPN
cana-4039	336	3	sigkdd	sigkdd	NOUN
cana-4039	336	4	int	int	NOUN
cana-4039	336	5	.	.	PUNCT
cana-4039	336	6	conf	conf	NOUN
cana-4039	336	7	.	.	PUNCT
cana-4039	337	1	on	on	ADP
cana-4039	337	2	knowledge	knowledge	NOUN
cana-4039	337	3	discovery	discovery	PROPN
cana-4039	337	4	and	and	CCONJ
cana-4039	337	5	data	datum	NOUN
cana-4039	337	6	mining	mining	NOUN
cana-4039	337	7	,	,	PUNCT
cana-4039	337	8	2013	2013	NUM
cana-4039	337	9	,	,	PUNCT
cana-4039	337	10	pp	pp	ADJ
cana-4039	337	11	.	.	PUNCT
cana-4039	338	1	347–355	347–355	NUM
cana-4039	338	2	.	.	PUNCT
cana-4039	339	1	17	17	NUM
cana-4039	339	2	.	.	PUNCT
cana-4039	339	3	a.	a.	PROPN
cana-4039	339	4	z.	z.	PROPN
cana-4039	339	5	ala’m	ala’m	PROPN
cana-4039	339	6	,	,	PUNCT
cana-4039	339	7	h.	h.	PROPN
cana-4039	339	8	faris	faris	PROPN
cana-4039	339	9	,	,	PUNCT
cana-4039	339	10	j.	j.	PROPN
cana-4039	339	11	f.	f.	PROPN
cana-4039	339	12	alqatawna	alqatawna	PROPN
cana-4039	339	13	,	,	PUNCT
cana-4039	339	14	and	and	CCONJ
cana-4039	339	15	m.	m.	NOUN
cana-4039	339	16	a.	a.	PROPN
cana-4039	339	17	hassonah	hassonah	PROPN
cana-4039	339	18	,	,	PUNCT
cana-4039	339	19	"	"	PUNCT
cana-4039	339	20	evolving	evolve	VERB
cana-4039	339	21	support	support	NOUN
cana-4039	339	22	vector	vector	NOUN
cana-4039	339	23	machines	machine	NOUN
cana-4039	339	24	using	use	VERB
cana-4039	339	25	whale	whale	NOUN
cana-4039	339	26	optimization	optimization	NOUN
cana-4039	339	27	algorithm	algorithm	NOUN
cana-4039	339	28	for	for	ADP
cana-4039	339	29	spam	spam	NOUN
cana-4039	339	30	profiles	profile	NOUN
cana-4039	339	31	detection	detection	NOUN
cana-4039	339	32	on	on	ADP
cana-4039	339	33	online	online	ADJ
cana-4039	339	34	social	social	ADJ
cana-4039	339	35	networks	network	NOUN
cana-4039	339	36	in	in	ADP
cana-4039	339	37	different	different	ADJ
cana-4039	339	38	lingual	lingual	ADJ
cana-4039	339	39	contexts	contexts	NOUN
cana-4039	339	40	,	,	PUNCT
cana-4039	339	41	"	"	PUNCT
cana-4039	339	42	knowledge	knowledge	NOUN
cana-4039	339	43	-	-	PUNCT
cana-4039	339	44	based	base	VERB
cana-4039	339	45	systems	system	NOUN
cana-4039	339	46	,	,	PUNCT
cana-4039	339	47	vol	vol	NOUN
cana-4039	339	48	.	.	PROPN
cana-4039	339	49	153	153	NUM
cana-4039	339	50	,	,	PUNCT
cana-4039	339	51	pp	pp	ADJ
cana-4039	339	52	.	.	PUNCT
cana-4039	340	1	91–104	91–104	PROPN
cana-4039	340	2	,	,	PUNCT
cana-4039	340	3	2018	2018	NUM
cana-4039	340	4	.	.	PUNCT
cana-4039	341	1	18	18	NUM
cana-4039	341	2	.	.	PUNCT
cana-4039	342	1	p.	p.	NOUN
cana-4039	342	2	pirozmand	pirozmand	NOUN
cana-4039	342	3	,	,	PUNCT
cana-4039	342	4	m.	m.	NOUN
cana-4039	342	5	sadeghilalimi	sadeghilalimi	PROPN
cana-4039	342	6	,	,	PUNCT
cana-4039	342	7	a.	a.	PROPN
cana-4039	342	8	a.	a.	PROPN
cana-4039	342	9	r.	r.	PROPN
cana-4039	342	10	hosseinabadi	hosseinabadi	PROPN
cana-4039	342	11	,	,	PUNCT
cana-4039	342	12	f.	f.	PROPN
cana-4039	342	13	sadeghilalimi	sadeghilalimi	PROPN
cana-4039	342	14	,	,	PUNCT
cana-4039	342	15	s.	s.	PROPN
cana-4039	342	16	mirkamali	mirkamali	PROPN
cana-4039	342	17	,	,	PUNCT
cana-4039	342	18	and	and	CCONJ
cana-4039	342	19	a.	a.	PROPN
cana-4039	342	20	slowik	slowik	PROPN
cana-4039	342	21	,	,	PUNCT
cana-4039	342	22	"	"	PUNCT
cana-4039	342	23	a	a	DET
cana-4039	342	24	feature	feature	NOUN
cana-4039	342	25	selection	selection	NOUN
cana-4039	342	26	approach	approach	NOUN
cana-4039	342	27	for	for	ADP
cana-4039	342	28	spam	spam	NOUN
cana-4039	342	29	detection	detection	NOUN
cana-4039	342	30	in	in	ADP
cana-4039	342	31	social	social	ADJ
cana-4039	342	32	networks	network	NOUN
cana-4039	342	33	using	use	VERB
cana-4039	342	34	gravitational	gravitational	ADJ
cana-4039	342	35	force	force	NOUN
cana-4039	342	36	-	-	PUNCT
cana-4039	342	37	based	base	VERB
cana-4039	342	38	heuristic	heuristic	ADJ
cana-4039	342	39	algorithm	algorithm	NOUN
cana-4039	342	40	,	,	PUNCT
cana-4039	342	41	"	"	PUNCT
cana-4039	342	42	journal	journal	NOUN
cana-4039	342	43	of	of	ADP
cana-4039	342	44	ambient	ambient	ADJ
cana-4039	342	45	intelligence	intelligence	NOUN
cana-4039	342	46	and	and	CCONJ
cana-4039	342	47	humanized	humanize	VERB
cana-4039	342	48	computing	computing	NOUN
cana-4039	342	49	,	,	PUNCT
cana-4039	343	1	pp	pp	PROPN
cana-4039	343	2	.	.	PUNCT
cana-4039	344	1	1–14	1–14	PROPN
cana-4039	344	2	,	,	PUNCT
cana-4039	344	3	2023	2023	NUM
cana-4039	344	4	.	.	PUNCT
cana-4039	345	1	19	19	NUM
cana-4039	345	2	.	.	PUNCT
cana-4039	345	3	t.	t.	PROPN
cana-4039	345	4	lawrence	lawrence	PROPN
cana-4039	345	5	,	,	PUNCT
cana-4039	345	6	p.	p.	PROPN
cana-4039	345	7	hosein	hosein	PROPN
cana-4039	345	8	,	,	PUNCT
cana-4039	345	9	and	and	CCONJ
cana-4039	345	10	i.	i.	PROPN
cana-4039	345	11	dialsingh	dialsingh	PROPN
cana-4039	345	12	,	,	PUNCT
cana-4039	345	13	"	"	PUNCT
cana-4039	345	14	an	an	DET
cana-4039	345	15	influence	influence	NOUN
cana-4039	345	16	model	model	NOUN
cana-4039	345	17	for	for	ADP
cana-4039	345	18	influence	influence	NOUN
cana-4039	345	19	maximization	maximization	NOUN
cana-4039	345	20	–	–	PUNCT
cana-4039	345	21	revenue	revenue	NOUN
cana-4039	345	22	optimization	optimization	NOUN
cana-4039	345	23	,	,	PUNCT
cana-4039	345	24	"	"	PUNCT
cana-4039	345	25	international	international	ADJ
cana-4039	345	26	journal	journal	NOUN
cana-4039	345	27	of	of	ADP
cana-4039	345	28	data	data	PROPN
cana-4039	345	29	science	science	NOUN
cana-4039	345	30	and	and	CCONJ
cana-4039	345	31	analytics	analytic	NOUN
cana-4039	345	32	,	,	PUNCT
cana-4039	345	33	vol	vol	NOUN
cana-4039	345	34	.	.	PROPN
cana-4039	345	35	11	11	NUM
cana-4039	345	36	,	,	PUNCT
cana-4039	345	37	no	no	INTJ
cana-4039	345	38	.	.	NOUN
cana-4039	345	39	2	2	NUM
cana-4039	345	40	,	,	PUNCT
cana-4039	345	41	pp	pp	ADJ
cana-4039	345	42	.	.	PUNCT
cana-4039	346	1	155–168	155–168	NUM
cana-4039	346	2	,	,	PUNCT
cana-4039	346	3	2021	2021	NUM
cana-4039	346	4	.	.	PUNCT
cana-4039	347	1	20	20	NUM
cana-4039	347	2	.	.	PUNCT
cana-4039	347	3	t.	t.	PROPN
cana-4039	347	4	a.	a.	PROPN
cana-4039	347	5	almeida	almeida	PROPN
cana-4039	347	6	,	,	PUNCT
cana-4039	347	7	j.	j.	PROPN
cana-4039	347	8	almeida	almeida	PROPN
cana-4039	347	9	,	,	PUNCT
cana-4039	347	10	and	and	CCONJ
cana-4039	347	11	a.	a.	NOUN
cana-4039	347	12	yamakami	yamakami	PROPN
cana-4039	347	13	,	,	PUNCT
cana-4039	347	14	"	"	PUNCT
cana-4039	347	15	spam	spam	NOUN
cana-4039	347	16	filtering	filtering	NOUN
cana-4039	347	17	:	:	PUNCT
cana-4039	347	18	how	how	SCONJ
cana-4039	347	19	the	the	DET
cana-4039	347	20	dimensionality	dimensionality	NOUN
cana-4039	347	21	reduction	reduction	NOUN
cana-4039	347	22	affects	affect	VERB
cana-4039	347	23	the	the	DET
cana-4039	347	24	accuracy	accuracy	NOUN
cana-4039	347	25	of	of	ADP
cana-4039	347	26	naive	naive	ADJ
cana-4039	347	27	bayes	bayes	NOUN
cana-4039	347	28	classifiers	classifier	NOUN
cana-4039	347	29	,	,	PUNCT
cana-4039	347	30	"	"	PUNCT
cana-4039	347	31	journal	journal	NOUN
cana-4039	347	32	of	of	ADP
cana-4039	347	33	internet	internet	NOUN
cana-4039	347	34	services	service	NOUN
cana-4039	347	35	and	and	CCONJ
cana-4039	347	36	applications	application	NOUN
cana-4039	347	37	,	,	PUNCT
cana-4039	347	38	vol	vol	NOUN
cana-4039	347	39	.	.	PROPN
cana-4039	348	1	1	1	NUM
cana-4039	348	2	,	,	PUNCT
cana-4039	348	3	pp	pp	ADJ
cana-4039	348	4	.	.	PUNCT
cana-4039	349	1	183	183	NUM
cana-4039	349	2	–	–	PUNCT
cana-4039	349	3	200	200	NUM
cana-4039	349	4	,	,	PUNCT
cana-4039	349	5	2011	2011	NUM
cana-4039	349	6	.	.	PUNCT
cana-4039	350	1	21	21	NUM
cana-4039	350	2	.	.	X
cana-4039	350	3	umamaheshwari	umamaheshwari	PROPN
cana-4039	350	4	,	,	PUNCT
cana-4039	350	5	p.	p.	PROPN
cana-4039	350	6	kumar	kumar	PROPN
cana-4039	350	7	kombaiya	kombaiya	PROPN
cana-4039	350	8	,	,	PUNCT
cana-4039	350	9	a.	a.	NOUN
cana-4039	350	10	“	"	PUNCT
cana-4039	350	11	navigating	navigate	VERB
cana-4039	350	12	influencer	influencer	NOUN
cana-4039	350	13	marketing	marketing	NOUN
cana-4039	350	14	:	:	PUNCT
cana-4039	350	15	a	a	DET
cana-4039	350	16	comprehensive	comprehensive	ADJ
cana-4039	350	17	overview	overview	NOUN
cana-4039	350	18	”	"	PUNCT
cana-4039	350	19	in	in	ADP
cana-4039	350	20	indian	indian	ADJ
cana-4039	350	21	journal	journal	NOUN
cana-4039	350	22	of	of	ADP
cana-4039	350	23	natural	natural	ADJ
cana-4039	350	24	sciences	science	NOUN
cana-4039	350	25	,	,	PUNCT
cana-4039	350	26	vol.15	vol.15	NOUN
cana-4039	350	27	/	/	SYM
cana-4039	350	28	issue	issue	NOUN
cana-4039	350	29	87	87	NUM
cana-4039	350	30	/	/	SYM
cana-4039	350	31	dec	dec	PROPN
cana-4039	350	32	/	/	SYM
cana-4039	350	33	2024	2024	NUM
cana-4039	350	34	.	.	PUNCT
cana-4039	351	1	22	22	NUM
cana-4039	351	2	.	.	PUNCT
cana-4039	351	3	a.	a.	PROPN
cana-4039	351	4	k.	k.	PROPN
cana-4039	351	5	singh	singh	PROPN
cana-4039	351	6	and	and	CCONJ
cana-4039	351	7	k.	k.	PROPN
cana-4039	351	8	lakshmanan	lakshmanan	PROPN
cana-4039	351	9	,	,	PUNCT
cana-4039	351	10	"	"	PUNCT
cana-4039	351	11	pilhnb	pilhnb	NOUN
cana-4039	351	12	:	:	PUNCT
cana-4039	351	13	popularity	popularity	NOUN
cana-4039	351	14	,	,	PUNCT
cana-4039	351	15	interests	interest	NOUN
cana-4039	351	16	,	,	PUNCT
cana-4039	351	17	location	location	NOUN
cana-4039	351	18	used	use	VERB
cana-4039	351	19	hidden	hide	VERB
cana-4039	351	20	naive	naive	ADJ
cana-4039	351	21	bayesianbased	bayesianbase	VERB
cana-4039	351	22	model	model	NOUN
cana-4039	351	23	for	for	ADP
cana-4039	351	24	link	link	NOUN
cana-4039	351	25	prediction	prediction	NOUN
cana-4039	351	26	in	in	ADP
cana-4039	351	27	dynamic	dynamic	ADJ
cana-4039	351	28	social	social	ADJ
cana-4039	351	29	networks	network	NOUN
cana-4039	351	30	,	,	PUNCT
cana-4039	351	31	"	"	PUNCT
cana-4039	351	32	neurocomputing	neurocomputing	NOUN
cana-4039	351	33	,	,	PUNCT
cana-4039	351	34	vol	vol	NOUN
cana-4039	351	35	.	.	PUNCT
cana-4039	351	36	461	461	NUM
cana-4039	351	37	,	,	PUNCT
cana-4039	351	38	pp	pp	ADJ
cana-4039	351	39	.	.	PUNCT
cana-4039	352	1	562–576	562–576	NUM
cana-4039	352	2	,	,	PUNCT
cana-4039	352	3	2021	2021	NUM
cana-4039	352	4	.	.	PUNCT
cana-4039	353	1	23	23	NUM
cana-4039	353	2	.	.	PUNCT
cana-4039	354	1	d.	d.	PROPN
cana-4039	354	2	f.	f.	PROPN
cana-4039	354	3	m.	m.	PROPN
cana-4039	354	4	mohideen	mohideen	PROPN
cana-4039	354	5	,	,	PUNCT
cana-4039	354	6	j.	j.	PROPN
cana-4039	354	7	s.	s.	PROPN
cana-4039	354	8	s.	s.	PROPN
cana-4039	354	9	raj	raj	PROPN
cana-4039	354	10	,	,	PUNCT
cana-4039	354	11	and	and	CCONJ
cana-4039	354	12	r.	r.	PROPN
cana-4039	354	13	s.	s.	PROPN
cana-4039	354	14	p.	p.	PROPN
cana-4039	354	15	raj	raj	PROPN
cana-4039	354	16	,	,	PUNCT
cana-4039	354	17	"	"	PUNCT
cana-4039	354	18	regression	regression	NOUN
cana-4039	354	19	imputation	imputation	NOUN
cana-4039	354	20	and	and	CCONJ
cana-4039	354	21	optimized	optimize	VERB
cana-4039	354	22	gaussian	gaussian	ADJ
cana-4039	354	23	naïve	naïve	ADJ
cana-4039	354	24	bayes	bayes	PROPN
cana-4039	354	25	algorithm	algorithm	NOUN
cana-4039	354	26	for	for	ADP
cana-4039	354	27	an	an	DET
cana-4039	354	28	enhanced	enhanced	ADJ
cana-4039	354	29	diabetes	diabetes	NOUN
cana-4039	354	30	mellitus	mellitus	NOUN
cana-4039	354	31	prediction	prediction	NOUN
cana-4039	354	32	model	model	NOUN
cana-4039	354	33	,	,	PUNCT
cana-4039	354	34	"	"	PUNCT
cana-4039	354	35	brazilian	brazilian	ADJ
cana-4039	354	36	archives	archive	NOUN
cana-4039	354	37	of	of	ADP
cana-4039	354	38	biology	biology	NOUN
cana-4039	354	39	and	and	CCONJ
cana-4039	354	40	technology	technology	NOUN
cana-4039	354	41	,	,	PUNCT
cana-4039	354	42	vol	vol	NOUN
cana-4039	354	43	.	.	PROPN
cana-4039	354	44	64	64	NUM
cana-4039	354	45	,	,	PUNCT
cana-4039	354	46	p.	p.	NOUN
cana-4039	354	47	e21210181	e21210181	PROPN
cana-4039	354	48	,	,	PUNCT
cana-4039	354	49	2021	2021	NUM
cana-4039	354	50	.	.	PUNCT
cana-4039	355	1	24	24	NUM
cana-4039	355	2	.	.	PUNCT
cana-4039	355	3	n.	n.	PROPN
cana-4039	355	4	a.	a.	PROPN
cana-4039	355	5	samsudin	samsudin	PROPN
cana-4039	355	6	,	,	PUNCT
cana-4039	355	7	a.	a.	PROPN
cana-4039	355	8	mustapha	mustapha	PROPN
cana-4039	355	9	,	,	PUNCT
cana-4039	355	10	and	and	CCONJ
cana-4039	355	11	m.	m.	PROPN
cana-4039	355	12	h.	h.	PROPN
cana-4039	355	13	abd	abd	PROPN
cana-4039	355	14	wahab	wahab	PROPN
cana-4039	355	15	,	,	PUNCT
cana-4039	355	16	"	"	PUNCT
cana-4039	355	17	ensemble	ensemble	ADJ
cana-4039	355	18	classification	classification	NOUN
cana-4039	355	19	of	of	ADP
cana-4039	355	20	cyber	cyber	ADJ
cana-4039	355	21	space	space	NOUN
cana-4039	355	22	users	user	NOUN
cana-4039	355	23	tendency	tendency	NOUN
cana-4039	355	24	in	in	ADP
cana-4039	355	25	blog	blog	NOUN
cana-4039	355	26	writing	writing	NOUN
cana-4039	355	27	using	use	VERB
cana-4039	355	28	random	random	ADJ
cana-4039	355	29	forest	forest	NOUN
cana-4039	355	30	,	,	PUNCT
cana-4039	355	31	"	"	PUNCT
cana-4039	355	32	in	in	ADP
cana-4039	355	33	proc	proc	NOUN
cana-4039	355	34	.	.	PUNCT
cana-4039	356	1	12th	12th	ADJ
cana-4039	356	2	int	int	NOUN
cana-4039	356	3	.	.	PUNCT
cana-4039	357	1	conf	conf	NOUN
cana-4039	357	2	.	.	PUNCT
cana-4039	358	1	on	on	ADP
cana-4039	358	2	innovations	innovation	NOUN
cana-4039	358	3	in	in	ADP
cana-4039	358	4	information	information	NOUN
cana-4039	358	5	technology	technology	NOUN
cana-4039	358	6	(	(	PUNCT
cana-4039	358	7	iit	iit	PROPN
cana-4039	358	8	)	)	PUNCT
cana-4039	358	9	,	,	PUNCT
cana-4039	358	10	2016	2016	NUM
cana-4039	358	11	,	,	PUNCT
cana-4039	358	12	pp	pp	ADV
cana-4039	358	13	.	.	PUNCT
cana-4039	359	1	1–4	1–4	PROPN
cana-4039	359	2	.	.	PROPN
cana-4039	359	3	25	25	NUM
cana-4039	359	4	.	.	PUNCT
cana-4039	360	1	umamaheshwarip	umamaheshwarip	PROPN
cana-4039	360	2	,	,	PUNCT
cana-4039	360	3	dr	dr	PROPN
cana-4039	360	4	.	.	PROPN
cana-4039	360	5	a.kumar	a.kumar	PROPN
cana-4039	360	6	kombaiya	kombaiya	PROPN
cana-4039	360	7	influence	influence	PROPN
cana-4039	360	8	maximization	maximization	NOUN
cana-4039	360	9	in	in	ADP
cana-4039	360	10	social	social	ADJ
cana-4039	360	11	media	medium	NOUN
cana-4039	360	12	with	with	ADP
cana-4039	360	13	biased	biased	ADJ
cana-4039	360	14	renovate	renovate	ADJ
cana-4039	360	15	k	k	ADJ
cana-4039	360	16	-	-	ADJ
cana-4039	360	17	mean	mean	ADJ
cana-4039	360	18	clustering	clustering	NOUN
cana-4039	360	19	and	and	CCONJ
cana-4039	360	20	biased	biased	ADJ
cana-4039	360	21	bat	bat	NOUN
cana-4039	360	22	algorithm	algorithm	NOUN
cana-4039	360	23	p.umamaheswari	p.umamaheswari	NOUN
cana-4039	360	24	/afr.j.bio.sc	/afr.j.bio.sc	PUNCT
cana-4039	360	25	.	.	PUNCT
cana-4039	361	1	6(14	6(14	NOUN
cana-4039	361	2	)	)	PUNCT
cana-4039	361	3	(	(	PUNCT
cana-4039	361	4	2024	2024	NUM
cana-4039	361	5	)	)	PUNCT
cana-4039	361	6	26	26	NUM
cana-4039	361	7	.	.	PUNCT
cana-4039	362	1	y.	y.	PROPN
cana-4039	362	2	asim	asim	PROPN
cana-4039	362	3	,	,	PUNCT
cana-4039	362	4	b.	b.	PROPN
cana-4039	362	5	raza	raza	PROPN
cana-4039	362	6	,	,	PUNCT
cana-4039	362	7	a.	a.	PROPN
cana-4039	362	8	k.	k.	PROPN
cana-4039	362	9	malik	malik	PROPN
cana-4039	362	10	,	,	PUNCT
cana-4039	362	11	a.	a.	PROPN
cana-4039	362	12	r.	r.	PROPN
cana-4039	362	13	shahaid	shahaid	PROPN
cana-4039	362	14	,	,	PUNCT
cana-4039	362	15	and	and	CCONJ
cana-4039	362	16	h.	h.	PROPN
cana-4039	362	17	alquhayz	alquhayz	PROPN
cana-4039	362	18	,	,	PUNCT
cana-4039	362	19	"	"	PUNCT
cana-4039	362	20	an	an	DET
cana-4039	362	21	adaptive	adaptive	ADJ
cana-4039	362	22	model	model	NOUN
cana-4039	362	23	for	for	ADP
cana-4039	362	24	identification	identification	NOUN
cana-4039	362	25	of	of	ADP
cana-4039	362	26	influential	influential	ADJ
cana-4039	362	27	bloggers	blogger	NOUN
cana-4039	362	28	based	base	VERB
cana-4039	362	29	on	on	ADP
cana-4039	362	30	case	case	NOUN
cana-4039	362	31	-	-	PUNCT
cana-4039	362	32	based	base	VERB
cana-4039	362	33	reasoning	reasoning	NOUN
cana-4039	362	34	using	use	VERB
cana-4039	362	35	random	random	ADJ
cana-4039	362	36	forest	forest	NOUN
cana-4039	362	37	,	,	PUNCT
cana-4039	362	38	"	"	PUNCT
cana-4039	362	39	ieee	ieee	NOUN
cana-4039	362	40	access	access	NOUN
cana-4039	362	41	,	,	PUNCT
cana-4039	362	42	vol	vol	NOUN
cana-4039	362	43	.	.	PROPN
cana-4039	363	1	7	7	NUM
cana-4039	363	2	,	,	PUNCT
cana-4039	363	3	pp	pp	ADJ
cana-4039	363	4	.	.	PUNCT
cana-4039	364	1	87732	87732	NUM
cana-4039	364	2	–	–	PUNCT
cana-4039	364	3	87749	87749	NUM
cana-4039	364	4	,	,	PUNCT
cana-4039	364	5	2019	2019	NUM
cana-4039	364	6	.	.	PUNCT