id	sid	tid	token	lemma	pos
cana-731	1	1	communications	communication	NOUN
cana-731	1	2	on	on	ADP
cana-731	1	3	applied	apply	VERB
cana-731	1	4	nonlinear	nonlinear	ADJ
cana-731	1	5	analysis	analysis	NOUN
cana-731	1	6	issn	issn	NOUN
cana-731	1	7	:	:	PUNCT
cana-731	1	8	1074	1074	NUM
cana-731	1	9	-	-	PUNCT
cana-731	1	10	133x	133x	NUM
cana-731	1	11	vol	vol	NOUN
cana-731	1	12	31	31	NUM
cana-731	1	13	no	no	NOUN
cana-731	1	14	.	.	PUNCT
cana-731	2	1	3s	3s	NUM
cana-731	2	2	(	(	PUNCT
cana-731	2	3	2024	2024	NUM
cana-731	2	4	)	)	PUNCT
cana-731	2	5	61	61	NUM
cana-731	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	2	7	an	an	DET
cana-731	2	8	analysis	analysis	NOUN
cana-731	2	9	of	of	ADP
cana-731	2	10	cyberbullying	cyberbullye	VERB
cana-731	2	11	in	in	ADP
cana-731	2	12	text	text	NOUN
cana-731	2	13	data	datum	NOUN
cana-731	2	14	using	use	VERB
cana-731	2	15	deep	deep	ADJ
cana-731	2	16	learning	learning	NOUN
cana-731	2	17	algorithms	algorithms	PROPN
cana-731	2	18	m.	m.	PROPN
cana-731	2	19	dharani1	dharani1	PROPN
cana-731	2	20	,	,	PUNCT
cana-731	2	21	dr	dr	PROPN
cana-731	2	22	.	.	PROPN
cana-731	2	23	s.	s.	PROPN
cana-731	2	24	sathya2	sathya2	PROPN
cana-731	2	25	research	research	NOUN
cana-731	2	26	scholar	scholar	NOUN
cana-731	2	27	,	,	PUNCT
cana-731	2	28	department	department	NOUN
cana-731	2	29	of	of	ADP
cana-731	2	30	computer	computer	NOUN
cana-731	2	31	science	science	NOUN
cana-731	2	32	,	,	PUNCT
cana-731	2	33	vels	vels	PROPN
cana-731	2	34	institute	institute	PROPN
cana-731	2	35	of	of	ADP
cana-731	2	36	science	science	NOUN
cana-731	2	37	,	,	PUNCT
cana-731	2	38	technolgy	technolgy	ADJ
cana-731	2	39	and	and	CCONJ
cana-731	2	40	advanced	advanced	ADJ
cana-731	2	41	studies	study	NOUN
cana-731	2	42	(	(	PUNCT
cana-731	2	43	vistas	vista	NOUN
cana-731	2	44	)	)	PUNCT
cana-731	2	45	,	,	PUNCT
cana-731	2	46	chennai	chennai	NOUN
cana-731	2	47	.	.	PUNCT
cana-731	3	1	dharavinay@gmail.com	dharavinay@gmail.com	X
cana-731	4	1	2assistant	2assistant	NUM
cana-731	4	2	professor	professor	NOUN
cana-731	4	3	,	,	PUNCT
cana-731	4	4	department	department	NOUN
cana-731	4	5	of	of	ADP
cana-731	4	6	information	information	NOUN
cana-731	4	7	technology	technology	NOUN
cana-731	4	8	,	,	PUNCT
cana-731	4	9	vels	vels	PROPN
cana-731	4	10	institute	institute	PROPN
cana-731	4	11	of	of	ADP
cana-731	4	12	science	science	NOUN
cana-731	4	13	,	,	PUNCT
cana-731	4	14	technolgy	technolgy	ADJ
cana-731	4	15	and	and	CCONJ
cana-731	4	16	advanced	advanced	ADJ
cana-731	4	17	studies	study	NOUN
cana-731	4	18	(	(	PUNCT
cana-731	4	19	vistas	vista	NOUN
cana-731	4	20	)	)	PUNCT
cana-731	4	21	,	,	PUNCT
cana-731	4	22	chennai	chennai	NOUN
cana-731	4	23	.	.	PUNCT
cana-731	5	1	ssathya.scs@velsuniv.ac.in	ssathya.scs@velsuniv.ac.in	PROPN
cana-731	5	2	article	article	NOUN
cana-731	5	3	history	history	NOUN
cana-731	5	4	:	:	PUNCT
cana-731	5	5	received	receive	VERB
cana-731	5	6	:	:	PUNCT
cana-731	5	7	06	06	NUM
cana-731	5	8	-	-	PUNCT
cana-731	5	9	04	04	NUM
cana-731	5	10	-	-	PUNCT
cana-731	5	11	2024	2024	NUM
cana-731	5	12	revised	revise	VERB
cana-731	5	13	:	:	PUNCT
cana-731	5	14	20	20	NUM
cana-731	5	15	-	-	SYM
cana-731	5	16	05	05	NUM
cana-731	5	17	-	-	PUNCT
cana-731	5	18	2024	2024	NUM
cana-731	5	19	accepted	accept	VERB
cana-731	5	20	:	:	PUNCT
cana-731	5	21	08	08	NUM
cana-731	5	22	-	-	SYM
cana-731	5	23	06	06	NUM
cana-731	5	24	-	-	PUNCT
cana-731	5	25	2024	2024	NUM
cana-731	5	26	abstract	abstract	ADJ
cana-731	5	27	cyberbullying	cyberbullying	NOUN
cana-731	5	28	is	be	AUX
cana-731	5	29	a	a	DET
cana-731	5	30	peculiarity	peculiarity	NOUN
cana-731	5	31	that	that	PRON
cana-731	5	32	unfavorably	unfavorably	ADV
cana-731	5	33	affects	affect	VERB
cana-731	5	34	individuals	individual	NOUN
cana-731	5	35	;	;	PUNCT
cana-731	5	36	its	its	PRON
cana-731	5	37	casualties	casualty	NOUN
cana-731	5	38	experience	experience	VERB
cana-731	5	39	a	a	DET
cana-731	5	40	scope	scope	NOUN
cana-731	5	41	of	of	ADP
cana-731	5	42	emotional	emotional	ADJ
cana-731	5	43	wellness	wellness	NOUN
cana-731	5	44	issues	issue	NOUN
cana-731	5	45	,	,	PUNCT
cana-731	5	46	including	include	VERB
cana-731	5	47	low	low	ADJ
cana-731	5	48	confidence	confidence	NOUN
cana-731	5	49	,	,	PUNCT
cana-731	5	50	uneasiness	uneasiness	NOUN
cana-731	5	51	,	,	PUNCT
cana-731	5	52	forlornness	forlornness	NOUN
cana-731	5	53	,	,	PUNCT
cana-731	5	54	and	and	CCONJ
cana-731	5	55	sorrow	sorrow	NOUN
cana-731	5	56	.	.	PUNCT
cana-731	6	1	cyberbullying	cyberbullye	VERB
cana-731	6	2	is	be	AUX
cana-731	6	3	become	become	VERB
cana-731	6	4	more	more	ADV
cana-731	6	5	normal	normal	ADJ
cana-731	6	6	while	while	SCONJ
cana-731	6	7	online	online	ADJ
cana-731	6	8	entertainment	entertainment	NOUN
cana-731	6	9	use	use	NOUN
cana-731	6	10	is	be	AUX
cana-731	6	11	turning	turn	VERB
cana-731	6	12	out	out	ADP
cana-731	6	13	to	to	PART
cana-731	6	14	be	be	AUX
cana-731	6	15	more	more	ADV
cana-731	6	16	inescapable	inescapable	ADJ
cana-731	6	17	.	.	PUNCT
cana-731	7	1	regular	regular	ADJ
cana-731	7	2	procedures	procedure	NOUN
cana-731	7	3	to	to	ADP
cana-731	7	4	battle	battle	NOUN
cana-731	7	5	cyberbullying	cyberbullye	VERB
cana-731	7	6	include	include	VERB
cana-731	7	7	the	the	DET
cana-731	7	8	utilization	utilization	NOUN
cana-731	7	9	of	of	ADP
cana-731	7	10	rules	rule	NOUN
cana-731	7	11	and	and	CCONJ
cana-731	7	12	guidelines	guideline	NOUN
cana-731	7	13	,	,	PUNCT
cana-731	7	14	human	human	ADJ
cana-731	7	15	mediators	mediator	NOUN
cana-731	7	16	,	,	PUNCT
cana-731	7	17	and	and	CCONJ
cana-731	7	18	boycotts	boycott	NOUN
cana-731	7	19	that	that	PRON
cana-731	7	20	rely	rely	VERB
cana-731	7	21	upon	upon	SCONJ
cana-731	7	22	hostile	hostile	ADJ
cana-731	7	23	language	language	NOUN
cana-731	7	24	.	.	PUNCT
cana-731	8	1	these	these	DET
cana-731	8	2	strategies	strategy	NOUN
cana-731	8	3	,	,	PUNCT
cana-731	8	4	however	however	ADV
cana-731	8	5	,	,	PUNCT
cana-731	8	6	are	be	AUX
cana-731	8	7	not	not	PART
cana-731	8	8	scalable	scalable	ADJ
cana-731	8	9	and	and	CCONJ
cana-731	8	10	perform	perform	VERB
cana-731	8	11	poorly	poorly	ADV
cana-731	8	12	in	in	ADP
cana-731	8	13	social	social	ADJ
cana-731	8	14	media	medium	NOUN
cana-731	8	15	.	.	PUNCT
cana-731	9	1	to	to	PART
cana-731	9	2	automatically	automatically	ADV
cana-731	9	3	identify	identify	VERB
cana-731	9	4	cyberbullying	cyberbullye	VERB
cana-731	9	5	behaviours	behaviour	NOUN
cana-731	9	6	,	,	PUNCT
cana-731	9	7	a	a	DET
cana-731	9	8	principled	principled	ADJ
cana-731	9	9	learning	learning	NOUN
cana-731	9	10	system	system	NOUN
cana-731	9	11	must	must	AUX
cana-731	9	12	be	be	AUX
cana-731	9	13	created	create	VERB
cana-731	9	14	.	.	PUNCT
cana-731	10	1	nonetheless	nonetheless	ADV
cana-731	10	2	,	,	PUNCT
cana-731	10	3	the	the	DET
cana-731	10	4	process	process	NOUN
cana-731	10	5	is	be	AUX
cana-731	10	6	difficult	difficult	ADJ
cana-731	10	7	because	because	SCONJ
cana-731	10	8	of	of	ADP
cana-731	10	9	the	the	DET
cana-731	10	10	brief	brief	ADJ
cana-731	10	11	,	,	PUNCT
cana-731	10	12	chaotic	chaotic	ADJ
cana-731	10	13	,	,	PUNCT
cana-731	10	14	and	and	CCONJ
cana-731	10	15	disorganised	disorganised	ADJ
cana-731	10	16	content	content	NOUN
cana-731	10	17	material	material	NOUN
cana-731	10	18	,	,	PUNCT
cana-731	10	19	as	as	ADV
cana-731	10	20	well	well	ADV
cana-731	10	21	as	as	ADP
cana-731	10	22	the	the	DET
cana-731	10	23	deliberate	deliberate	ADJ
cana-731	10	24	obscuring	obscuring	NOUN
cana-731	10	25	of	of	ADP
cana-731	10	26	offensive	offensive	ADJ
cana-731	10	27	phrases	phrase	NOUN
cana-731	10	28	or	or	CCONJ
cana-731	10	29	words	word	NOUN
cana-731	10	30	by	by	ADP
cana-731	10	31	those	those	PRON
cana-731	10	32	who	who	PRON
cana-731	10	33	use	use	VERB
cana-731	10	34	social	social	ADJ
cana-731	10	35	media	medium	NOUN
cana-731	10	36	.	.	PUNCT
cana-731	11	1	we	we	PRON
cana-731	11	2	suggest	suggest	VERB
cana-731	11	3	using	use	VERB
cana-731	11	4	sentiment	sentiment	NOUN
cana-731	11	5	data	datum	NOUN
cana-731	11	6	to	to	PART
cana-731	11	7	identify	identify	VERB
cana-731	11	8	cyberbullying	cyberbullye	VERB
cana-731	11	9	behaviours	behaviour	NOUN
cana-731	11	10	in	in	ADP
cana-731	11	11	social	social	ADJ
cana-731	11	12	media	medium	NOUN
cana-731	11	13	by	by	ADP
cana-731	11	14	putting	put	VERB
cana-731	11	15	forth	forth	ADP
cana-731	11	16	a	a	DET
cana-731	11	17	sentimentinformed	sentimentinforme	VERB
cana-731	11	18	cyberbullying	cyberbullye	VERB
cana-731	11	19	detection	detection	NOUN
cana-731	11	20	framework	framework	NOUN
cana-731	11	21	.	.	PUNCT
cana-731	12	1	our	our	PRON
cana-731	12	2	approach	approach	NOUN
cana-731	12	3	has	have	AUX
cana-731	12	4	been	be	AUX
cana-731	12	5	inspired	inspire	VERB
cana-731	12	6	by	by	ADP
cana-731	12	7	sociological	sociological	ADJ
cana-731	12	8	and	and	CCONJ
cana-731	12	9	psychological	psychological	ADJ
cana-731	12	10	research	research	NOUN
cana-731	12	11	on	on	ADP
cana-731	12	12	bullying	bully	VERB
cana-731	12	13	behaviours	behaviour	NOUN
cana-731	12	14	and	and	CCONJ
cana-731	12	15	their	their	PRON
cana-731	12	16	relationship	relationship	NOUN
cana-731	12	17	to	to	ADP
cana-731	12	18	emotions	emotion	NOUN
cana-731	12	19	.	.	PUNCT
cana-731	13	1	experiments	experiment	NOUN
cana-731	13	2	conducted	conduct	VERB
cana-731	13	3	on	on	ADP
cana-731	13	4	two	two	NUM
cana-731	13	5	publicly	publicly	ADV
cana-731	13	6	accessible	accessible	ADJ
cana-731	13	7	real	real	ADJ
cana-731	13	8	-	-	PUNCT
cana-731	13	9	world	world	NOUN
cana-731	13	10	social	social	ADJ
cana-731	13	11	media	medium	NOUN
cana-731	13	12	datasets	dataset	NOUN
cana-731	13	13	demonstrate	demonstrate	VERB
cana-731	13	14	the	the	DET
cana-731	13	15	advantages	advantage	NOUN
cana-731	13	16	of	of	ADP
cana-731	13	17	the	the	DET
cana-731	13	18	suggested	suggest	VERB
cana-731	13	19	approach	approach	NOUN
cana-731	13	20	.	.	PUNCT
cana-731	14	1	additional	additional	ADJ
cana-731	14	2	research	research	NOUN
cana-731	14	3	confirms	confirm	VERB
cana-731	14	4	that	that	SCONJ
cana-731	14	5	using	use	VERB
cana-731	14	6	sentiment	sentiment	NOUN
cana-731	14	7	data	datum	NOUN
cana-731	14	8	to	to	PART
cana-731	14	9	detect	detect	VERB
cana-731	14	10	cyberbullying	cyberbullye	VERB
cana-731	14	11	is	be	AUX
cana-731	14	12	beneficial	beneficial	ADJ
cana-731	14	13	.	.	PUNCT
cana-731	15	1	keywords	keyword	NOUN
cana-731	15	2	:	:	PUNCT
cana-731	15	3	sentiment	sentiment	NOUN
cana-731	15	4	analysis	analysis	NOUN
cana-731	15	5	,	,	PUNCT
cana-731	15	6	cyberbullying	cyberbullying	NOUN
cana-731	15	7	,	,	PUNCT
cana-731	15	8	deep	deep	ADJ
cana-731	15	9	neural	neural	ADJ
cana-731	15	10	network	network	NOUN
cana-731	15	11	,	,	PUNCT
cana-731	15	12	artificial	artificial	ADJ
cana-731	15	13	neural	neural	ADJ
cana-731	15	14	network	network	NOUN
cana-731	15	15	,	,	PUNCT
cana-731	15	16	radial	radial	ADJ
cana-731	15	17	basis	basis	NOUN
cana-731	15	18	function	function	NOUN
cana-731	15	19	network(rbfn	network(rbfn	PROPN
cana-731	15	20	)	)	PUNCT
cana-731	15	21	.	.	PUNCT
cana-731	16	1	i.	i.	PROPN
cana-731	16	2	introduction	introduction	PROPN
cana-731	16	3	user	user	NOUN
cana-731	16	4	-	-	PUNCT
cana-731	16	5	generated	generate	VERB
cana-731	16	6	content	content	NOUN
cana-731	16	7	(	(	PUNCT
cana-731	16	8	ugc	ugc	PROPN
cana-731	16	9	)	)	PUNCT
cana-731	16	10	may	may	AUX
cana-731	16	11	now	now	ADV
cana-731	16	12	be	be	AUX
cana-731	16	13	published	publish	VERB
cana-731	16	14	and	and	CCONJ
cana-731	16	15	responded	respond	VERB
cana-731	16	16	to	to	ADP
cana-731	16	17	by	by	ADP
cana-731	16	18	the	the	DET
cana-731	16	19	online	online	ADJ
cana-731	16	20	community	community	NOUN
cana-731	16	21	thanks	thank	NOUN
cana-731	16	22	to	to	ADP
cana-731	16	23	the	the	DET
cana-731	16	24	development	development	NOUN
cana-731	16	25	of	of	ADP
cana-731	16	26	technology	technology	NOUN
cana-731	16	27	for	for	ADP
cana-731	16	28	communication	communication	NOUN
cana-731	16	29	and	and	CCONJ
cana-731	16	30	information	information	NOUN
cana-731	16	31	.	.	PUNCT
cana-731	17	1	regrettably	regrettably	ADV
cana-731	17	2	,	,	PUNCT
cana-731	17	3	cyberbullies	cyberbullie	NOUN
cana-731	17	4	have	have	AUX
cana-731	17	5	misused	misuse	VERB
cana-731	17	6	this	this	DET
cana-731	17	7	ease	ease	NOUN
cana-731	17	8	of	of	ADP
cana-731	17	9	use	use	NOUN
cana-731	17	10	,	,	PUNCT
cana-731	17	11	harming	harm	VERB
cana-731	17	12	other	other	ADJ
cana-731	17	13	people	people	NOUN
cana-731	17	14	by	by	ADP
cana-731	17	15	intimidating	intimidate	VERB
cana-731	17	16	,	,	PUNCT
cana-731	17	17	controlling	control	VERB
cana-731	17	18	,	,	PUNCT
cana-731	17	19	manipulating	manipulate	VERB
cana-731	17	20	,	,	PUNCT
cana-731	17	21	threatening	threatening	ADJ
cana-731	17	22	,	,	PUNCT
cana-731	17	23	or	or	CCONJ
cana-731	17	24	harassing	harass	VERB
cana-731	17	25	tar	tar	NOUN
cana-731	17	26	-	-	PUNCT
cana-731	17	27	get	get	NOUN
cana-731	17	28	victims	victim	NOUN
cana-731	17	29	[	[	X
cana-731	17	30	1	1	NUM
cana-731	17	31	]	]	PUNCT
cana-731	17	32	.	.	PUNCT
cana-731	18	1	the	the	DET
cana-731	18	2	deliberate	deliberate	ADJ
cana-731	18	3	and	and	CCONJ
cana-731	18	4	persistent	persistent	ADJ
cana-731	18	5	harm	harm	NOUN
cana-731	18	6	caused	cause	VERB
cana-731	18	7	by	by	ADP
cana-731	18	8	using	use	VERB
cana-731	18	9	electronic	electronic	ADJ
cana-731	18	10	devices	device	NOUN
cana-731	18	11	is	be	AUX
cana-731	18	12	known	know	VERB
cana-731	18	13	as	as	ADP
cana-731	18	14	"	"	PUNCT
cana-731	18	15	cyberbullying	cyberbullye	VERB
cana-731	18	16	"	"	PUNCT
cana-731	18	17	[	[	X
cana-731	18	18	2	2	NUM
cana-731	18	19	]	]	PUNCT
cana-731	18	20	,	,	PUNCT
cana-731	18	21	[	[	X
cana-731	18	22	3	3	NUM
cana-731	18	23	]	]	PUNCT
cana-731	18	24	,	,	PUNCT
cana-731	18	25	and	and	CCONJ
cana-731	18	26	[	[	X
cana-731	18	27	4	4	NUM
cana-731	18	28	]	]	PUNCT
cana-731	18	29	.	.	PUNCT
cana-731	19	1	a	a	DET
cana-731	19	2	victim	victim	NOUN
cana-731	19	3	of	of	ADP
cana-731	19	4	cyberbullying	cyberbullye	VERB
cana-731	19	5	(	(	PUNCT
cana-731	19	6	cb	cb	PROPN
cana-731	19	7	)	)	PUNCT
cana-731	19	8	may	may	AUX
cana-731	19	9	experience	experience	VERB
cana-731	19	10	significant	significant	ADJ
cana-731	19	11	psychological	psychological	ADJ
cana-731	19	12	effects	effect	NOUN
cana-731	19	13	,	,	PUNCT
cana-731	19	14	including	include	VERB
cana-731	19	15	despair	despair	NOUN
cana-731	19	16	and	and	CCONJ
cana-731	19	17	even	even	ADV
cana-731	19	18	suicide	suicide	NOUN
cana-731	19	19	thoughts	thought	NOUN
cana-731	19	20	,	,	PUNCT
cana-731	19	21	in	in	ADP
cana-731	19	22	addition	addition	NOUN
cana-731	19	23	to	to	ADP
cana-731	19	24	negative	negative	ADJ
cana-731	19	25	feelings	feeling	NOUN
cana-731	19	26	including	include	VERB
cana-731	19	27	anger	anger	NOUN
cana-731	19	28	,	,	PUNCT
cana-731	19	29	fear	fear	NOUN
cana-731	19	30	,	,	PUNCT
cana-731	19	31	grief	grief	NOUN
cana-731	19	32	,	,	PUNCT
cana-731	19	33	and	and	CCONJ
cana-731	19	34	guilt	guilt	VERB
cana-731	19	35	[	[	X
cana-731	19	36	5	5	NUM
cana-731	19	37	,	,	PUNCT
cana-731	19	38	6	6	NUM
cana-731	19	39	,	,	PUNCT
cana-731	19	40	7	7	NUM
cana-731	19	41	]	]	PUNCT
cana-731	19	42	.	.	PUNCT
cana-731	20	1	one	one	NUM
cana-731	20	2	communications	communication	NOUN
cana-731	20	3	on	on	ADP
cana-731	20	4	applied	apply	VERB
cana-731	20	5	nonlinear	nonlinear	ADJ
cana-731	20	6	analysis	analysis	NOUN
cana-731	20	7	issn	issn	NOUN
cana-731	20	8	:	:	PUNCT
cana-731	20	9	1074	1074	NUM
cana-731	20	10	-	-	PUNCT
cana-731	20	11	133x	133x	NUM
cana-731	20	12	vol	vol	NOUN
cana-731	20	13	31	31	NUM
cana-731	20	14	no	no	NOUN
cana-731	20	15	.	.	PUNCT
cana-731	21	1	3s	3s	NUM
cana-731	21	2	(	(	PUNCT
cana-731	21	3	2024	2024	NUM
cana-731	21	4	)	)	PUNCT
cana-731	21	5	62	62	NUM
cana-731	21	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	21	7	of	of	ADP
cana-731	21	8	the	the	DET
cana-731	21	9	main	main	ADJ
cana-731	21	10	areas	area	NOUN
cana-731	21	11	of	of	ADP
cana-731	21	12	interest	interest	NOUN
cana-731	21	13	in	in	ADP
cana-731	21	14	emotional	emotional	ADJ
cana-731	21	15	computing	computing	NOUN
cana-731	21	16	is	be	AUX
cana-731	21	17	emotion	emotion	NOUN
cana-731	21	18	mining	mining	NOUN
cana-731	21	19	,	,	PUNCT
cana-731	21	20	which	which	PRON
cana-731	21	21	seeks	seek	VERB
cana-731	21	22	to	to	PART
cana-731	21	23	recognise	recognise	VERB
cana-731	21	24	,	,	PUNCT
cana-731	21	25	assess	assess	VERB
cana-731	21	26	,	,	PUNCT
cana-731	21	27	and	and	CCONJ
cana-731	21	28	evaluate	evaluate	VERB
cana-731	21	29	how	how	SCONJ
cana-731	21	30	people	people	NOUN
cana-731	21	31	feel	feel	VERB
cana-731	21	32	about	about	ADP
cana-731	21	33	certain	certain	ADJ
cana-731	21	34	situations	situation	NOUN
cana-731	21	35	or	or	CCONJ
cana-731	21	36	experiences	experience	NOUN
cana-731	21	37	[	[	X
cana-731	21	38	8	8	NUM
cana-731	21	39	]	]	PUNCT
cana-731	21	40	.	.	PUNCT
cana-731	22	1	the	the	DET
cana-731	22	2	stock	stock	NOUN
cana-731	22	3	market	market	NOUN
cana-731	22	4	,	,	PUNCT
cana-731	22	5	customer	customer	NOUN
cana-731	22	6	reviews	review	NOUN
cana-731	22	7	,	,	PUNCT
cana-731	22	8	and	and	CCONJ
cana-731	22	9	recommendations	recommendation	NOUN
cana-731	22	10	are	be	AUX
cana-731	22	11	just	just	ADV
cana-731	22	12	a	a	DET
cana-731	22	13	few	few	ADJ
cana-731	22	14	of	of	ADP
cana-731	22	15	the	the	DET
cana-731	22	16	areas	area	NOUN
cana-731	22	17	where	where	SCONJ
cana-731	22	18	emotion	emotion	NOUN
cana-731	22	19	analysis	analysis	NOUN
cana-731	22	20	has	have	AUX
cana-731	22	21	had	have	VERB
cana-731	22	22	a	a	DET
cana-731	22	23	big	big	ADJ
cana-731	22	24	impact	impact	NOUN
cana-731	22	25	[	[	X
cana-731	22	26	9	9	NUM
cana-731	22	27	]	]	PUNCT
cana-731	22	28	,	,	PUNCT
cana-731	22	29	[	[	X
cana-731	22	30	10	10	NUM
cana-731	22	31	]	]	PUNCT
cana-731	22	32	,	,	PUNCT
cana-731	22	33	and	and	CCONJ
cana-731	22	34	[	[	X
cana-731	22	35	11	11	NUM
cana-731	22	36	]	]	PUNCT
cana-731	22	37	.	.	PUNCT
cana-731	23	1	researchers	researcher	NOUN
cana-731	23	2	have	have	AUX
cana-731	23	3	n't	not	PART
cana-731	23	4	,	,	PUNCT
cana-731	23	5	however	however	ADV
cana-731	23	6	,	,	PUNCT
cana-731	23	7	given	give	VERB
cana-731	23	8	emotion	emotion	NOUN
cana-731	23	9	analysis	analysis	NOUN
cana-731	23	10	much	much	ADJ
cana-731	23	11	thought	think	VERB
cana-731	23	12	when	when	SCONJ
cana-731	23	13	it	it	PRON
cana-731	23	14	comes	come	VERB
cana-731	23	15	to	to	ADP
cana-731	23	16	identifying	identify	VERB
cana-731	23	17	cyberbullying	cyberbullying	NOUN
cana-731	23	18	.	.	PUNCT
cana-731	24	1	because	because	SCONJ
cana-731	24	2	there	there	PRON
cana-731	24	3	is	be	VERB
cana-731	24	4	a	a	DET
cana-731	24	5	high	high	ADJ
cana-731	24	6	correlation	correlation	NOUN
cana-731	24	7	between	between	ADP
cana-731	24	8	cyberbullying	cyberbullye	VERB
cana-731	24	9	and	and	CCONJ
cana-731	24	10	bad	bad	ADJ
cana-731	24	11	feelings	feeling	NOUN
cana-731	24	12	,	,	PUNCT
cana-731	24	13	using	use	VERB
cana-731	24	14	emotion	emotion	NOUN
cana-731	24	15	indicators	indicator	NOUN
cana-731	24	16	into	into	ADP
cana-731	24	17	cyberbullying	cyberbullye	VERB
cana-731	24	18	detection	detection	NOUN
cana-731	24	19	can	can	AUX
cana-731	24	20	thereby	thereby	ADV
cana-731	24	21	increase	increase	VERB
cana-731	24	22	the	the	DET
cana-731	24	23	accuracy	accuracy	NOUN
cana-731	24	24	of	of	ADP
cana-731	24	25	the	the	DET
cana-731	24	26	detection	detection	NOUN
cana-731	24	27	.	.	PUNCT
cana-731	25	1	the	the	DET
cana-731	25	2	idea	idea	NOUN
cana-731	25	3	that	that	SCONJ
cana-731	25	4	emotion	emotion	NOUN
cana-731	25	5	mining	mining	NOUN
cana-731	25	6	can	can	AUX
cana-731	25	7	enhance	enhance	VERB
cana-731	25	8	the	the	DET
cana-731	25	9	identification	identification	NOUN
cana-731	25	10	of	of	ADP
cana-731	25	11	cyberbullying	cyberbullying	NOUN
cana-731	25	12	serves	serve	VERB
cana-731	25	13	as	as	ADP
cana-731	25	14	the	the	DET
cana-731	25	15	foundation	foundation	NOUN
cana-731	25	16	for	for	ADP
cana-731	25	17	the	the	DET
cana-731	25	18	solution	solution	NOUN
cana-731	25	19	put	put	VERB
cana-731	25	20	out	out	ADP
cana-731	25	21	in	in	ADP
cana-731	25	22	this	this	DET
cana-731	25	23	paper	paper	NOUN
cana-731	25	24	.	.	PUNCT
cana-731	26	1	there	there	PRON
cana-731	26	2	are	be	VERB
cana-731	26	3	three	three	NUM
cana-731	26	4	steps	step	NOUN
cana-731	26	5	to	to	ADP
cana-731	26	6	it	it	PRON
cana-731	26	7	.	.	PUNCT
cana-731	27	1	getting	get	VERB
cana-731	27	2	a	a	DET
cana-731	27	3	clear	clear	ADJ
cana-731	27	4	,	,	PUNCT
cana-731	27	5	wellbalanced	wellbalanced	ADJ
cana-731	27	6	,	,	PUNCT
cana-731	27	7	and	and	CCONJ
cana-731	27	8	feature	feature	NOUN
cana-731	27	9	-	-	PUNCT
cana-731	27	10	rich	rich	ADJ
cana-731	27	11	dataset	dataset	NOUN
cana-731	27	12	is	be	AUX
cana-731	27	13	the	the	DET
cana-731	27	14	first	first	ADJ
cana-731	27	15	step	step	NOUN
cana-731	27	16	.	.	PUNCT
cana-731	28	1	the	the	DET
cana-731	28	2	calibre	calibre	NOUN
cana-731	28	3	of	of	ADP
cana-731	28	4	the	the	DET
cana-731	28	5	data	datum	NOUN
cana-731	28	6	used	use	VERB
cana-731	28	7	for	for	ADP
cana-731	28	8	training	training	NOUN
cana-731	28	9	datasets	dataset	NOUN
cana-731	28	10	has	have	VERB
cana-731	28	11	a	a	DET
cana-731	28	12	major	major	ADJ
cana-731	28	13	impact	impact	NOUN
cana-731	28	14	on	on	ADP
cana-731	28	15	how	how	SCONJ
cana-731	28	16	well	well	ADV
cana-731	28	17	machine	machine	NOUN
cana-731	28	18	learning	learning	NOUN
cana-731	28	19	models	model	NOUN
cana-731	28	20	work	work	VERB
cana-731	28	21	[	[	X
cana-731	28	22	15	15	NUM
cana-731	28	23	]	]	PUNCT
cana-731	28	24	,	,	PUNCT
cana-731	28	25	[	[	X
cana-731	28	26	16	16	NUM
cana-731	28	27	]	]	PUNCT
cana-731	28	28	.	.	PUNCT
cana-731	29	1	nevertheless	nevertheless	ADV
cana-731	29	2	,	,	PUNCT
cana-731	29	3	there	there	PRON
cana-731	29	4	are	be	VERB
cana-731	29	5	n't	not	PART
cana-731	29	6	many	many	ADJ
cana-731	29	7	datasets	dataset	NOUN
cana-731	29	8	that	that	PRON
cana-731	29	9	address	address	VERB
cana-731	29	10	every	every	DET
cana-731	29	11	type	type	NOUN
cana-731	29	12	of	of	ADP
cana-731	29	13	cyberbullying	cyberbullye	VERB
cana-731	29	14	[	[	X
cana-731	29	15	13	13	NUM
cana-731	29	16	]	]	PUNCT
cana-731	29	17	,	,	PUNCT
cana-731	29	18	[	[	X
cana-731	29	19	17	17	NUM
cana-731	29	20	]	]	PUNCT
cana-731	29	21	.	.	PUNCT
cana-731	30	1	furthermore	furthermore	ADV
cana-731	30	2	,	,	PUNCT
cana-731	30	3	ugc	ugc	PROPN
cana-731	30	4	differs	differ	VERB
cana-731	30	5	in	in	ADP
cana-731	30	6	kind	kind	ADJ
cana-731	30	7	throughout	throughout	ADP
cana-731	30	8	social	social	ADJ
cana-731	30	9	networking	networking	NOUN
cana-731	30	10	sites	site	NOUN
cana-731	30	11	.	.	PUNCT
cana-731	31	1	for	for	ADP
cana-731	31	2	instance	instance	NOUN
cana-731	31	3	,	,	PUNCT
cana-731	31	4	facebook	facebook	PROPN
cana-731	31	5	posts	post	NOUN
cana-731	31	6	have	have	VERB
cana-731	31	7	an	an	DET
cana-731	31	8	entirely	entirely	ADV
cana-731	31	9	distinct	distinct	ADJ
cana-731	31	10	character	character	NOUN
cana-731	31	11	restriction	restriction	NOUN
cana-731	31	12	than	than	ADP
cana-731	31	13	tweets	tweet	NOUN
cana-731	31	14	on	on	ADP
cana-731	31	15	twitter	twitter	NOUN
cana-731	31	16	.	.	PUNCT
cana-731	32	1	figure	figure	NOUN
cana-731	32	2	1	1	NUM
cana-731	32	3	shows	show	VERB
cana-731	32	4	the	the	DET
cana-731	32	5	concept	concept	NOUN
cana-731	32	6	of	of	ADP
cana-731	32	7	cyberbullying	cyberbullye	VERB
cana-731	32	8	.	.	PUNCT
cana-731	33	1	figure	figure	NOUN
cana-731	33	2	1	1	NUM
cana-731	33	3	.	.	PUNCT
cana-731	34	1	cyberbullying	cyberbullye	VERB
cana-731	34	2	this	this	DET
cana-731	34	3	work	work	NOUN
cana-731	34	4	investigates	investigate	VERB
cana-731	34	5	the	the	DET
cana-731	34	6	extraction	extraction	NOUN
cana-731	34	7	of	of	ADP
cana-731	34	8	emotions	emotion	NOUN
cana-731	34	9	from	from	ADP
cana-731	34	10	text	text	NOUN
cana-731	34	11	through	through	ADP
cana-731	34	12	both	both	PRON
cana-731	34	13	supervised	supervise	VERB
cana-731	34	14	as	as	ADV
cana-731	34	15	well	well	ADV
cana-731	34	16	as	as	ADP
cana-731	34	17	unsupervised	unsupervised	ADJ
cana-731	34	18	methods	method	NOUN
cana-731	34	19	.	.	PUNCT
cana-731	35	1	using	use	VERB
cana-731	35	2	an	an	DET
cana-731	35	3	emotion	emotion	NOUN
cana-731	35	4	dataset	dataset	NOUN
cana-731	35	5	downloaded	download	VERB
cana-731	35	6	from	from	ADP
cana-731	35	7	facebook	facebook	PROPN
cana-731	35	8	,	,	PUNCT
cana-731	35	9	deep	deep	ADJ
cana-731	35	10	learning	learning	NOUN
cana-731	35	11	(	(	PUNCT
cana-731	35	12	dl	dl	NOUN
cana-731	35	13	)	)	PUNCT
cana-731	35	14	algorithms	algorithm	NOUN
cana-731	35	15	are	be	AUX
cana-731	35	16	applied	apply	VERB
cana-731	35	17	in	in	ADP
cana-731	35	18	the	the	DET
cana-731	35	19	supervised	supervised	ADJ
cana-731	35	20	method	method	NOUN
cana-731	35	21	.	.	PUNCT
cana-731	36	1	using	use	VERB
cana-731	36	2	hashtags	hashtag	NOUN
cana-731	36	3	,	,	PUNCT
cana-731	36	4	the	the	DET
cana-731	36	5	tweets	tweet	NOUN
cana-731	36	6	are	be	AUX
cana-731	36	7	categorised	categorise	VERB
cana-731	36	8	into	into	ADP
cana-731	36	9	several	several	ADJ
cana-731	36	10	emotional	emotional	ADJ
cana-731	36	11	states	state	NOUN
cana-731	36	12	.	.	PUNCT
cana-731	37	1	three	three	NUM
cana-731	37	2	approval	approval	NOUN
cana-731	37	3	steps	step	NOUN
cana-731	37	4	have	have	AUX
cana-731	37	5	been	be	AUX
cana-731	37	6	recommended	recommend	VERB
cana-731	37	7	and	and	CCONJ
cana-731	37	8	tried	try	VERB
cana-731	37	9	to	to	PART
cana-731	37	10	check	check	VERB
cana-731	37	11	the	the	DET
cana-731	37	12	programmed	programmed	ADJ
cana-731	37	13	marking	marking	NOUN
cana-731	37	14	for	for	ADP
cana-731	37	15	the	the	DET
cana-731	37	16	emotion	emotion	NOUN
cana-731	37	17	dataset	dataset	NOUN
cana-731	37	18	.	.	PUNCT
cana-731	38	1	these	these	DET
cana-731	38	2	systems	system	NOUN
cana-731	38	3	are	be	AUX
cana-731	38	4	intended	intend	VERB
cana-731	38	5	to	to	PART
cana-731	38	6	prepare	prepare	VERB
cana-731	38	7	feeling	feeling	NOUN
cana-731	38	8	models	model	NOUN
cana-731	38	9	with	with	ADP
cana-731	38	10	restricted	restrict	VERB
cana-731	38	11	,	,	PUNCT
cana-731	38	12	approved	approve	VERB
cana-731	38	13	datasets	dataset	NOUN
cana-731	38	14	and	and	CCONJ
cana-731	38	15	to	to	PART
cana-731	38	16	affirm	affirm	VERB
cana-731	38	17	the	the	DET
cana-731	38	18	opinion	opinion	NOUN
cana-731	38	19	as	as	ADV
cana-731	38	20	well	well	ADV
cana-731	38	21	as	as	ADP
cana-731	38	22	feelings	feeling	NOUN
cana-731	38	23	of	of	ADP
cana-731	38	24	events	event	NOUN
cana-731	38	25	utilizing	utilize	VERB
cana-731	38	26	vocabularies	vocabulary	NOUN
cana-731	38	27	.	.	PUNCT
cana-731	39	1	the	the	DET
cana-731	39	2	solo	solo	NOUN
cana-731	39	3	technique	technique	NOUN
cana-731	39	4	,	,	PUNCT
cana-731	39	5	then	then	ADV
cana-731	39	6	again	again	ADV
cana-731	39	7	,	,	PUNCT
cana-731	39	8	utilizes	utilize	VERB
cana-731	39	9	a	a	DET
cana-731	39	10	predefined	predefine	VERB
cana-731	39	11	dictionary	dictionary	NOUN
cana-731	39	12	—	—	PUNCT
cana-731	39	13	a	a	DET
cana-731	39	14	catchphrase	catchphrase	NOUN
cana-731	39	15	matching	matching	NOUN
cana-731	39	16	strategy	strategy	NOUN
cana-731	39	17	—	—	PUNCT
cana-731	39	18	to	to	PART
cana-731	39	19	distinguish	distinguish	VERB
cana-731	39	20	the	the	DET
cana-731	39	21	predominant	predominant	ADJ
cana-731	39	22	feelings	feeling	NOUN
cana-731	39	23	associated	associate	VERB
cana-731	39	24	with	with	ADP
cana-731	39	25	a	a	DET
cana-731	39	26	word	word	NOUN
cana-731	39	27	.	.	PUNCT
cana-731	40	1	this	this	DET
cana-731	40	2	word	word	NOUN
cana-731	40	3	-	-	PUNCT
cana-731	40	4	level	level	NOUN
cana-731	40	5	technique	technique	NOUN
cana-731	40	6	helps	help	VERB
cana-731	40	7	with	with	ADP
cana-731	40	8	finding	find	VERB
cana-731	40	9	unequivocal	unequivocal	ADJ
cana-731	40	10	articulations	articulation	NOUN
cana-731	40	11	inside	inside	ADP
cana-731	40	12	the	the	DET
cana-731	40	13	text	text	NOUN
cana-731	40	14	.	.	PUNCT
cana-731	41	1	sentiment	sentiment	NOUN
cana-731	41	2	features	feature	NOUN
cana-731	41	3	are	be	AUX
cana-731	41	4	also	also	ADV
cana-731	41	5	taken	take	VERB
cana-731	41	6	from	from	ADP
cana-731	41	7	text	text	NOUN
cana-731	41	8	together	together	ADV
cana-731	41	9	with	with	ADP
cana-731	41	10	emotion	emotion	NOUN
cana-731	41	11	data	datum	NOUN
cana-731	41	12	,	,	PUNCT
cana-731	41	13	and	and	CCONJ
cana-731	41	14	a	a	DET
cana-731	41	15	general	general	ADJ
cana-731	41	16	polarity	polarity	NOUN
cana-731	41	17	has	have	AUX
cana-731	41	18	been	be	AUX
cana-731	41	19	given	give	VERB
cana-731	41	20	to	to	ADP
cana-731	41	21	each	each	DET
cana-731	41	22	instance	instance	NOUN
cana-731	41	23	.	.	PUNCT
cana-731	42	1	in	in	ADP
cana-731	42	2	the	the	DET
cana-731	42	3	third	third	ADJ
cana-731	42	4	stage	stage	NOUN
cana-731	42	5	,	,	PUNCT
cana-731	42	6	deep	deep	ADJ
cana-731	42	7	learning	learn	VERB
cana-731	42	8	dl	dl	PROPN
cana-731	42	9	models	model	NOUN
cana-731	42	10	are	be	AUX
cana-731	42	11	prepared	prepared	ADJ
cana-731	42	12	to	to	PART
cana-731	42	13	sort	sort	VERB
cana-731	42	14	the	the	DET
cana-731	42	15	information	information	NOUN
cana-731	42	16	occasions	occasion	NOUN
cana-731	42	17	into	into	ADP
cana-731	42	18	various	various	ADJ
cana-731	42	19	kinds	kind	NOUN
cana-731	42	20	of	of	ADP
cana-731	42	21	cyberbullying	cyberbullying	NOUN
cana-731	42	22	or	or	CCONJ
cana-731	42	23	non	non	ADJ
cana-731	42	24	-	-	ADJ
cana-731	42	25	cyberbullying	cyberbullye	VERB
cana-731	42	26	once	once	ADV
cana-731	42	27	the	the	DET
cana-731	42	28	cyberbullying	cyberbullye	VERB
cana-731	42	29	highlights	highlight	NOUN
cana-731	42	30	have	have	AUX
cana-731	42	31	been	be	AUX
cana-731	42	32	extricated	extricate	VERB
cana-731	42	33	.	.	PUNCT
cana-731	43	1	communications	communication	NOUN
cana-731	43	2	on	on	ADP
cana-731	43	3	applied	apply	VERB
cana-731	43	4	nonlinear	nonlinear	ADJ
cana-731	43	5	analysis	analysis	NOUN
cana-731	43	6	issn	issn	NOUN
cana-731	43	7	:	:	PUNCT
cana-731	43	8	1074	1074	NUM
cana-731	43	9	-	-	PUNCT
cana-731	43	10	133x	133x	NUM
cana-731	43	11	vol	vol	NOUN
cana-731	43	12	31	31	NUM
cana-731	43	13	no	no	NOUN
cana-731	43	14	.	.	PUNCT
cana-731	44	1	3s	3s	NUM
cana-731	44	2	(	(	PUNCT
cana-731	44	3	2024	2024	NUM
cana-731	44	4	)	)	PUNCT
cana-731	44	5	63	63	NUM
cana-731	44	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	44	7	figure	figure	NOUN
cana-731	44	8	2	2	NUM
cana-731	44	9	:	:	PUNCT
cana-731	44	10	architecture	architecture	NOUN
cana-731	44	11	of	of	ADP
cana-731	44	12	this	this	DET
cana-731	44	13	research	research	NOUN
cana-731	44	14	work	work	NOUN
cana-731	44	15	figure	figure	NOUN
cana-731	44	16	2	2	NUM
cana-731	44	17	shows	show	VERB
cana-731	44	18	the	the	DET
cana-731	44	19	architecture	architecture	NOUN
cana-731	44	20	of	of	ADP
cana-731	44	21	this	this	DET
cana-731	44	22	research	research	NOUN
cana-731	44	23	work	work	NOUN
cana-731	44	24	,	,	PUNCT
cana-731	44	25	text	text	NOUN
cana-731	44	26	based	base	VERB
cana-731	44	27	data	datum	NOUN
cana-731	44	28	are	be	AUX
cana-731	44	29	collected	collect	VERB
cana-731	44	30	from	from	ADP
cana-731	44	31	the	the	DET
cana-731	44	32	social	social	ADJ
cana-731	44	33	media	medium	NOUN
cana-731	44	34	then	then	ADV
cana-731	44	35	the	the	DET
cana-731	44	36	collected	collect	VERB
cana-731	44	37	data	datum	NOUN
cana-731	44	38	are	be	AUX
cana-731	44	39	preprocessed	preprocesse	VERB
cana-731	44	40	using	use	VERB
cana-731	44	41	the	the	DET
cana-731	44	42	text	text	NOUN
cana-731	44	43	processing	processing	NOUN
cana-731	44	44	techniques	technique	NOUN
cana-731	44	45	.	.	PUNCT
cana-731	45	1	the	the	DET
cana-731	45	2	processed	process	VERB
cana-731	45	3	data	data	NOUN
cana-731	45	4	is	be	AUX
cana-731	45	5	used	use	VERB
cana-731	45	6	for	for	ADP
cana-731	45	7	data	data	NOUN
cana-731	45	8	partitioning	partitioning	NOUN
cana-731	45	9	,	,	PUNCT
cana-731	45	10	then	then	ADV
cana-731	45	11	the	the	DET
cana-731	45	12	features	feature	NOUN
cana-731	45	13	are	be	AUX
cana-731	45	14	extracted	extract	VERB
cana-731	45	15	and	and	CCONJ
cana-731	45	16	the	the	DET
cana-731	45	17	machine	machine	NOUN
cana-731	45	18	learning	learning	NOUN
cana-731	45	19	models	model	NOUN
cana-731	45	20	are	be	AUX
cana-731	45	21	used	use	VERB
cana-731	45	22	for	for	ADP
cana-731	45	23	the	the	DET
cana-731	45	24	classification	classification	NOUN
cana-731	45	25	of	of	ADP
cana-731	45	26	text	text	NOUN
cana-731	45	27	.	.	PUNCT
cana-731	46	1	the	the	DET
cana-731	46	2	leftover	leftover	NOUN
cana-731	46	3	examination	examination	NOUN
cana-731	46	4	was	be	AUX
cana-731	46	5	organized	organize	VERB
cana-731	46	6	as	as	SCONJ
cana-731	46	7	follows	follow	VERB
cana-731	46	8	.	.	PUNCT
cana-731	47	1	the	the	DET
cana-731	47	2	writing	writing	NOUN
cana-731	47	3	survey	survey	NOUN
cana-731	47	4	is	be	AUX
cana-731	47	5	shrouded	shroud	VERB
cana-731	47	6	in	in	ADP
cana-731	47	7	segment	segment	PROPN
cana-731	47	8	ii	ii	PROPN
cana-731	47	9	,	,	PUNCT
cana-731	47	10	and	and	CCONJ
cana-731	47	11	the	the	DET
cana-731	47	12	materials	material	NOUN
cana-731	47	13	and	and	CCONJ
cana-731	47	14	procedures	procedure	NOUN
cana-731	47	15	utilized	utilize	VERB
cana-731	47	16	for	for	ADP
cana-731	47	17	this	this	DET
cana-731	47	18	exploration	exploration	NOUN
cana-731	47	19	—	—	PUNCT
cana-731	47	20	deep	deep	ADJ
cana-731	47	21	neural	neural	ADJ
cana-731	47	22	networks	network	NOUN
cana-731	47	23	(	(	PUNCT
cana-731	47	24	dnn	dnn	PROPN
cana-731	47	25	)	)	PUNCT
cana-731	47	26	,	,	PUNCT
cana-731	47	27	artificial	artificial	ADJ
cana-731	47	28	neural	neural	ADJ
cana-731	47	29	networks	network	NOUN
cana-731	47	30	(	(	PUNCT
cana-731	47	31	ann	ann	PROPN
cana-731	47	32	)	)	PUNCT
cana-731	47	33	,	,	PUNCT
cana-731	47	34	radial	radial	ADJ
cana-731	47	35	basis	basis	NOUN
cana-731	47	36	function	function	NOUN
cana-731	47	37	network(rbfn	network(rbfn	PROPN
cana-731	47	38	)	)	PUNCT
cana-731	47	39	for	for	ADP
cana-731	47	40	exactness	exactness	NOUN
cana-731	47	41	—	—	PUNCT
cana-731	47	42	are	be	AUX
cana-731	47	43	portrayed	portray	VERB
cana-731	47	44	in	in	ADP
cana-731	47	45	segment	segment	PROPN
cana-731	47	46	iii	iii	PROPN
cana-731	47	47	.	.	PUNCT
cana-731	48	1	in	in	ADP
cana-731	48	2	segment	segment	NOUN
cana-731	48	3	iv	iv	PROPN
cana-731	48	4	,	,	PUNCT
cana-731	48	5	the	the	DET
cana-731	48	6	trial	trial	NOUN
cana-731	48	7	results	result	NOUN
cana-731	48	8	are	be	AUX
cana-731	48	9	shown	show	VERB
cana-731	48	10	.	.	PUNCT
cana-731	49	1	segment	segment	NOUN
cana-731	49	2	v	v	PROPN
cana-731	49	3	contains	contain	VERB
cana-731	49	4	the	the	DET
cana-731	49	5	inventive	inventive	ADJ
cana-731	49	6	data	datum	NOUN
cana-731	49	7	that	that	PRON
cana-731	49	8	wraps	wrap	VERB
cana-731	49	9	this	this	PRON
cana-731	49	10	concentrate	concentrate	VERB
cana-731	49	11	up	up	ADP
cana-731	49	12	.	.	PUNCT
cana-731	50	1	ii	ii	PROPN
cana-731	50	2	.	.	PUNCT
cana-731	51	1	literature	literature	PROPN
cana-731	51	2	survey	survey	VERB
cana-731	51	3	a	a	DET
cana-731	51	4	mechanized	mechanized	ADJ
cana-731	51	5	cyberbullying	cyberbullye	VERB
cana-731	51	6	recognizable	recognizable	ADJ
cana-731	51	7	proof	proof	NOUN
cana-731	51	8	framework	framework	NOUN
cana-731	51	9	in	in	ADP
cana-731	51	10	light	light	NOUN
cana-731	51	11	of	of	ADP
cana-731	51	12	the	the	DET
cana-731	51	13	mental	mental	ADJ
cana-731	51	14	attributes	attribute	NOUN
cana-731	51	15	of	of	ADP
cana-731	51	16	twitter	twitter	NOUN
cana-731	51	17	clients	client	NOUN
cana-731	51	18	,	,	PUNCT
cana-731	51	19	like	like	ADP
cana-731	51	20	characters	character	NOUN
cana-731	51	21	,	,	PUNCT
cana-731	51	22	temperament	temperament	NOUN
cana-731	51	23	,	,	PUNCT
cana-731	51	24	and	and	CCONJ
cana-731	51	25	feeling	feeling	NOUN
cana-731	51	26	,	,	PUNCT
cana-731	51	27	was	be	AUX
cana-731	51	28	concentrated	concentrate	VERB
cana-731	51	29	by	by	ADP
cana-731	51	30	balakrishnan	balakrishnan	PROPN
cana-731	51	31	et	et	PROPN
cana-731	51	32	al	al	PROPN
cana-731	51	33	.	.	PUNCT
cana-731	52	1	[	[	X
cana-731	52	2	14	14	NUM
cana-731	52	3	]	]	PUNCT
cana-731	52	4	.	.	PUNCT
cana-731	53	1	the	the	DET
cana-731	53	2	big	big	ADJ
cana-731	53	3	five	five	NUM
cana-731	53	4	and	and	CCONJ
cana-731	53	5	black	black	ADJ
cana-731	53	6	triad	triad	ADJ
cana-731	53	7	systems	system	NOUN
cana-731	53	8	were	be	AUX
cana-731	53	9	used	use	VERB
cana-731	53	10	to	to	PART
cana-731	53	11	discover	discover	VERB
cana-731	53	12	the	the	DET
cana-731	53	13	characters	character	NOUN
cana-731	53	14	of	of	ADP
cana-731	53	15	clients	client	NOUN
cana-731	53	16	,	,	PUNCT
cana-731	53	17	and	and	CCONJ
cana-731	53	18	ai	ai	VERB
cana-731	53	19	calculations	calculation	NOUN
cana-731	53	20	like	like	ADP
cana-731	53	21	nb	nb	INTJ
cana-731	53	22	,	,	PUNCT
cana-731	53	23	rf	rf	ADJ
cana-731	53	24	,	,	PUNCT
cana-731	53	25	and	and	CCONJ
cana-731	53	26	j48	j48	PROPN
cana-731	53	27	were	be	AUX
cana-731	53	28	applied	apply	VERB
cana-731	53	29	to	to	PART
cana-731	53	30	order	order	VERB
cana-731	53	31	tweets	tweet	NOUN
cana-731	53	32	into	into	ADP
cana-731	53	33	four	four	NUM
cana-731	53	34	gatherings	gathering	NOUN
cana-731	53	35	:	:	PUNCT
cana-731	53	36	ordinary	ordinary	ADJ
cana-731	53	37	,	,	PUNCT
cana-731	53	38	attacker	attacker	NOUN
cana-731	53	39	,	,	PUNCT
cana-731	53	40	menace	menace	NOUN
cana-731	53	41	,	,	PUNCT
cana-731	53	42	and	and	CCONJ
cana-731	53	43	spammer	spammer	NOUN
cana-731	53	44	.	.	PUNCT
cana-731	54	1	utilizing	utilize	VERB
cana-731	54	2	the	the	DET
cana-731	54	3	hashtag	hashtag	NOUN
cana-731	54	4	#	#	NOUN
cana-731	54	5	gamergate	gamergate	NOUN
cana-731	54	6	,	,	PUNCT
cana-731	54	7	human	human	ADJ
cana-731	54	8	experts	expert	NOUN
cana-731	54	9	carefully	carefully	ADV
cana-731	54	10	clarified	clarify	VERB
cana-731	54	11	5453	5453	NUM
cana-731	54	12	messages	message	NOUN
cana-731	54	13	in	in	ADP
cana-731	54	14	the	the	DET
cana-731	54	15	twitter	twitter	NOUN
cana-731	54	16	data	datum	NOUN
cana-731	54	17	set	set	VERB
cana-731	54	18	.	.	PUNCT
cana-731	55	1	in	in	ADP
cana-731	55	2	order	order	NOUN
cana-731	55	3	to	to	PART
cana-731	55	4	detect	detect	VERB
cana-731	55	5	cyberbullying	cyberbullye	VERB
cana-731	55	6	,	,	PUNCT
cana-731	55	7	cheng	cheng	PROPN
cana-731	55	8	et	et	PROPN
cana-731	55	9	al	al	PROPN
cana-731	55	10	.	.	PUNCT
cana-731	56	1	[	[	X
cana-731	56	2	15	15	NUM
cana-731	56	3	]	]	PUNCT
cana-731	56	4	created	create	VERB
cana-731	56	5	an	an	DET
cana-731	56	6	organisational	organisational	ADJ
cana-731	56	7	attention	attention	NOUN
cana-731	56	8	network	network	NOUN
cana-731	56	9	that	that	PRON
cana-731	56	10	takes	take	VERB
cana-731	56	11	these	these	DET
cana-731	56	12	characteristics	characteristic	NOUN
cana-731	56	13	into	into	ADP
cana-731	56	14	account	account	NOUN
cana-731	56	15	.	.	PUNCT
cana-731	57	1	the	the	DET
cana-731	57	2	t	t	PROPN
cana-731	57	3	technique	technique	NOUN
cana-731	57	4	is	be	AUX
cana-731	57	5	distinguished	distinguish	VERB
cana-731	57	6	by	by	ADP
cana-731	57	7	three	three	NUM
cana-731	57	8	primary	primary	ADJ
cana-731	57	9	attributes	attribute	NOUN
cana-731	57	10	:	:	PUNCT
cana-731	57	11	1	1	X
cana-731	57	12	)	)	PUNCT
cana-731	57	13	a	a	DET
cana-731	57	14	hierarchical	hierarchical	ADJ
cana-731	57	15	framework	framework	NOUN
cana-731	57	16	that	that	PRON
cana-731	57	17	imitates	imitate	VERB
cana-731	57	18	the	the	DET
cana-731	57	19	structure	structure	NOUN
cana-731	57	20	of	of	ADP
cana-731	57	21	social	social	ADJ
cana-731	57	22	media	medium	NOUN
cana-731	57	23	sessions	session	NOUN
cana-731	57	24	;	;	PUNCT
cana-731	57	25	2	2	X
cana-731	57	26	)	)	PUNCT
cana-731	57	27	the	the	DET
cana-731	57	28	various	various	ADJ
cana-731	57	29	attention	attention	NOUN
cana-731	57	30	systems	system	NOUN
cana-731	57	31	that	that	PRON
cana-731	57	32	applies	apply	VERB
cana-731	57	33	at	at	ADP
cana-731	57	34	the	the	DET
cana-731	57	35	word	word	NOUN
cana-731	57	36	as	as	ADV
cana-731	57	37	well	well	ADV
cana-731	57	38	as	as	ADP
cana-731	57	39	comment	comment	NOUN
cana-731	57	40	level	level	NOUN
cana-731	57	41	,	,	PUNCT
cana-731	57	42	enabling	enable	VERB
cana-731	57	43	the	the	DET
cana-731	57	44	model	model	NOUN
cana-731	57	45	to	to	PART
cana-731	57	46	differentiate	differentiate	VERB
cana-731	57	47	between	between	ADP
cana-731	57	48	different	different	ADJ
cana-731	57	49	levels	level	NOUN
cana-731	57	50	of	of	ADP
cana-731	57	51	attention	attention	NOUN
cana-731	57	52	depending	depend	VERB
cana-731	57	53	on	on	ADP
cana-731	57	54	context	context	NOUN
cana-731	57	55	;	;	PUNCT
cana-731	57	56	3	3	X
cana-731	57	57	)	)	PUNCT
cana-731	57	58	a	a	DET
cana-731	57	59	cyberbullying	cyberbullye	VERB
cana-731	57	60	detection	detection	NOUN
cana-731	57	61	task	task	NOUN
cana-731	57	62	that	that	PRON
cana-731	57	63	also	also	ADV
cana-731	57	64	forecasts	forecast	VERB
cana-731	57	65	the	the	DET
cana-731	57	66	likelihood	likelihood	NOUN
cana-731	57	67	of	of	ADP
cana-731	57	68	cyberbullying	cyberbullye	VERB
cana-731	57	69	singh	singh	PROPN
cana-731	57	70	et	et	PROPN
cana-731	57	71	al	al	PROPN
cana-731	57	72	.	.	PUNCT
cana-731	58	1	[	[	X
cana-731	58	2	16	16	NUM
cana-731	58	3	]	]	PUNCT
cana-731	58	4	claim	claim	NOUN
cana-731	58	5	that	that	SCONJ
cana-731	58	6	visual	visual	ADJ
cana-731	58	7	factors	factor	NOUN
cana-731	58	8	boost	boost	VERB
cana-731	58	9	prediction	prediction	NOUN
cana-731	58	10	outcomes	outcome	NOUN
cana-731	58	11	and	and	CCONJ
cana-731	58	12	work	work	VERB
cana-731	58	13	in	in	ADP
cana-731	58	14	conjunction	conjunction	NOUN
cana-731	58	15	with	with	ADP
cana-731	58	16	textual	textual	ADJ
cana-731	58	17	data	datum	NOUN
cana-731	58	18	to	to	PART
cana-731	58	19	identify	identify	VERB
cana-731	58	20	cyberbullying	cyberbullye	VERB
cana-731	58	21	.	.	PUNCT
cana-731	59	1	communications	communication	NOUN
cana-731	59	2	on	on	ADP
cana-731	59	3	applied	apply	VERB
cana-731	59	4	nonlinear	nonlinear	ADJ
cana-731	59	5	analysis	analysis	NOUN
cana-731	59	6	issn	issn	NOUN
cana-731	59	7	:	:	PUNCT
cana-731	59	8	1074	1074	NUM
cana-731	59	9	-	-	PUNCT
cana-731	59	10	133x	133x	NUM
cana-731	59	11	vol	vol	NOUN
cana-731	59	12	31	31	NUM
cana-731	59	13	no	no	NOUN
cana-731	59	14	.	.	PUNCT
cana-731	60	1	3s	3s	NUM
cana-731	60	2	(	(	PUNCT
cana-731	60	3	2024	2024	NUM
cana-731	60	4	)	)	PUNCT
cana-731	60	5	64	64	NUM
cana-731	60	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	60	7	hence	hence	ADV
cana-731	60	8	,	,	PUNCT
cana-731	60	9	it	it	PRON
cana-731	60	10	is	be	AUX
cana-731	60	11	basic	basic	ADJ
cana-731	60	12	to	to	PART
cana-731	60	13	make	make	VERB
cana-731	60	14	mechanized	mechanized	ADJ
cana-731	60	15	techniques	technique	NOUN
cana-731	60	16	for	for	ADP
cana-731	60	17	distinguishing	distinguish	VERB
cana-731	60	18	and	and	CCONJ
cana-731	60	19	halting	halting	ADJ
cana-731	60	20	cyberbullying	cyberbullying	NOUN
cana-731	60	21	.	.	PUNCT
cana-731	61	1	despite	despite	SCONJ
cana-731	61	2	the	the	DET
cana-731	61	3	fact	fact	NOUN
cana-731	61	4	that	that	SCONJ
cana-731	61	5	there	there	PRON
cana-731	61	6	have	have	AUX
cana-731	61	7	been	be	AUX
cana-731	61	8	ongoing	ongoing	ADJ
cana-731	61	9	endeavors	endeavor	NOUN
cana-731	61	10	to	to	PART
cana-731	61	11	distinguish	distinguish	VERB
cana-731	61	12	cyberbullying	cyberbullying	NOUN
cana-731	61	13	and	and	CCONJ
cana-731	61	14	foster	foster	ADJ
cana-731	61	15	complex	complex	ADJ
cana-731	61	16	text	text	NOUN
cana-731	61	17	handling	handling	NOUN
cana-731	61	18	calculations	calculation	NOUN
cana-731	61	19	for	for	ADP
cana-731	61	20	this	this	DET
cana-731	61	21	reason	reason	NOUN
cana-731	61	22	,	,	PUNCT
cana-731	61	23	visual	visual	ADJ
cana-731	61	24	information	information	NOUN
cana-731	61	25	handling	handling	NOUN
cana-731	61	26	has	have	AUX
cana-731	61	27	not	not	PART
cana-731	61	28	yet	yet	ADV
cana-731	61	29	been	be	AUX
cana-731	61	30	applied	apply	VERB
cana-731	61	31	to	to	PART
cana-731	61	32	naturally	naturally	ADV
cana-731	61	33	identify	identify	VERB
cana-731	61	34	cyberbullying	cyberbullye	VERB
cana-731	61	35	.	.	PUNCT
cana-731	62	1	to	to	PART
cana-731	62	2	decide	decide	VERB
cana-731	62	3	whether	whether	SCONJ
cana-731	62	4	robotized	robotize	VERB
cana-731	62	5	cyberbullying	cyberbullying	NOUN
cana-731	62	6	discovery	discovery	NOUN
cana-731	62	7	is	be	AUX
cana-731	62	8	practical	practical	ADJ
cana-731	62	9	,	,	PUNCT
cana-731	62	10	van	van	PROPN
cana-731	62	11	hee	hee	PROPN
cana-731	62	12	et	et	PROPN
cana-731	62	13	al	al	PROPN
cana-731	62	14	.	.	PUNCT
cana-731	63	1	[	[	X
cana-731	63	2	17	17	NUM
cana-731	63	3	]	]	PUNCT
cana-731	63	4	depicted	depict	VERB
cana-731	63	5	the	the	DET
cana-731	63	6	assortment	assortment	NOUN
cana-731	63	7	and	and	CCONJ
cana-731	63	8	fine	fine	ADV
cana-731	63	9	-	-	PUNCT
cana-731	63	10	grained	grain	VERB
cana-731	63	11	clarifying	clarifying	NOUN
cana-731	63	12	of	of	ADP
cana-731	63	13	a	a	DET
cana-731	63	14	cyberbullying	cyberbullye	VERB
cana-731	63	15	assortment	assortment	NOUN
cana-731	63	16	in	in	ADP
cana-731	63	17	english	english	PROPN
cana-731	63	18	and	and	CCONJ
cana-731	63	19	dutch	dutch	PROPN
cana-731	63	20	,	,	PUNCT
cana-731	63	21	alongside	alongside	ADP
cana-731	63	22	a	a	DET
cana-731	63	23	progression	progression	NOUN
cana-731	63	24	of	of	ADP
cana-731	63	25	paired	pair	VERB
cana-731	63	26	grouping	grouping	NOUN
cana-731	63	27	tests	test	NOUN
cana-731	63	28	.	.	PUNCT
cana-731	64	1	with	with	ADP
cana-731	64	2	a	a	DET
cana-731	64	3	major	major	ADJ
cana-731	64	4	list	list	NOUN
cana-731	64	5	of	of	ADP
cana-731	64	6	capabilities	capability	NOUN
cana-731	64	7	,	,	PUNCT
cana-731	64	8	they	they	PRON
cana-731	64	9	utilized	utilize	VERB
cana-731	64	10	direct	direct	ADJ
cana-731	64	11	svms	svms	NOUN
cana-731	64	12	to	to	PART
cana-731	64	13	evaluate	evaluate	VERB
cana-731	64	14	which	which	PRON
cana-731	64	15	data	datum	NOUN
cana-731	64	16	sources	source	NOUN
cana-731	64	17	are	be	AUX
cana-731	64	18	generally	generally	ADV
cana-731	64	19	valuable	valuable	ADJ
cana-731	64	20	for	for	ADP
cana-731	64	21	the	the	DET
cana-731	64	22	main	main	ADJ
cana-731	64	23	job	job	NOUN
cana-731	64	24	.	.	PUNCT
cana-731	65	1	tests	test	NOUN
cana-731	65	2	utilizing	utilize	VERB
cana-731	65	3	a	a	DET
cana-731	65	4	hold	hold	VERB
cana-731	65	5	-	-	PUNCT
cana-731	65	6	out	out	ADP
cana-731	65	7	testset	testset	NOUN
cana-731	65	8	show	show	NOUN
cana-731	65	9	that	that	SCONJ
cana-731	65	10	it	it	PRON
cana-731	65	11	is	be	AUX
cana-731	65	12	feasible	feasible	ADJ
cana-731	65	13	to	to	PART
cana-731	65	14	effectively	effectively	ADV
cana-731	65	15	recognize	recognize	VERB
cana-731	65	16	presents	present	NOUN
cana-731	65	17	associated	associate	VERB
cana-731	65	18	on	on	ADP
cana-731	65	19	cyberbullying.haidar	cyberbullying.haidar	PROPN
cana-731	65	20	et	et	NOUN
cana-731	65	21	al	al	PROPN
cana-731	65	22	.	.	PUNCT
cana-731	66	1	[	[	X
cana-731	66	2	18	18	NUM
cana-731	66	3	]	]	PUNCT
cana-731	66	4	gave	give	VERB
cana-731	66	5	strategies	strategy	NOUN
cana-731	66	6	to	to	ADP
cana-731	66	7	recognizing	recognize	VERB
cana-731	66	8	cyberbullying	cyberbullye	VERB
cana-731	66	9	in	in	ADP
cana-731	66	10	english	english	PROPN
cana-731	66	11	and	and	CCONJ
cana-731	66	12	various	various	ADJ
cana-731	66	13	different	different	ADJ
cana-731	66	14	dialects	dialect	NOUN
cana-731	66	15	,	,	PUNCT
cana-731	66	16	however	however	ADV
cana-731	66	17	nobody	nobody	PRON
cana-731	66	18	had	have	AUX
cana-731	66	19	at	at	ADP
cana-731	66	20	this	this	DET
cana-731	66	21	point	point	NOUN
cana-731	66	22	handled	handle	VERB
cana-731	66	23	cyberbullying	cyberbullye	VERB
cana-731	66	24	in	in	ADP
cana-731	66	25	arabic	arabic	ADJ
cana-731	66	26	.	.	PUNCT
cana-731	67	1	ml	ml	NOUN
cana-731	67	2	and	and	CCONJ
cana-731	67	3	nlp	nlp	NOUN
cana-731	67	4	are	be	AUX
cana-731	67	5	two	two	NUM
cana-731	67	6	techniques	technique	NOUN
cana-731	67	7	that	that	PRON
cana-731	67	8	are	be	AUX
cana-731	67	9	helpful	helpful	ADJ
cana-731	67	10	in	in	ADP
cana-731	67	11	distinguishing	distinguish	VERB
cana-731	67	12	cyberbullying	cyberbullye	VERB
cana-731	67	13	.	.	PUNCT
cana-731	68	1	this	this	DET
cana-731	68	2	article	article	NOUN
cana-731	68	3	depicts	depict	VERB
cana-731	68	4	a	a	DET
cana-731	68	5	method	method	NOUN
cana-731	68	6	for	for	ADP
cana-731	68	7	perceiving	perceive	VERB
cana-731	68	8	and	and	CCONJ
cana-731	68	9	halting	halting	ADJ
cana-731	68	10	cyberbullying	cyberbullying	NOUN
cana-731	68	11	,	,	PUNCT
cana-731	68	12	expanding	expand	VERB
cana-731	68	13	on	on	ADP
cana-731	68	14	past	past	ADJ
cana-731	68	15	exploration	exploration	NOUN
cana-731	68	16	.	.	PUNCT
cana-731	69	1	it	it	PRON
cana-731	69	2	begins	begin	VERB
cana-731	69	3	with	with	ADP
cana-731	69	4	an	an	DET
cana-731	69	5	exhaustive	exhaustive	ADJ
cana-731	69	6	examination	examination	NOUN
cana-731	69	7	of	of	ADP
cana-731	69	8	prior	prior	ADJ
cana-731	69	9	research	research	NOUN
cana-731	69	10	in	in	ADP
cana-731	69	11	the	the	DET
cana-731	69	12	space	space	NOUN
cana-731	69	13	of	of	ADP
cana-731	69	14	cyberbullying	cyberbullye	VERB
cana-731	69	15	discovery	discovery	NOUN
cana-731	69	16	.	.	PUNCT
cana-731	70	1	therefore	therefore	ADV
cana-731	70	2	,	,	PUNCT
cana-731	70	3	a	a	DET
cana-731	70	4	way	way	NOUN
cana-731	70	5	to	to	PART
cana-731	70	6	deal	deal	VERB
cana-731	70	7	with	with	ADP
cana-731	70	8	distinguishing	distinguish	VERB
cana-731	70	9	cyberbullying	cyberbullye	VERB
cana-731	70	10	inside	inside	ADP
cana-731	70	11	arabic	arabic	ADJ
cana-731	70	12	text	text	NOUN
cana-731	70	13	is	be	AUX
cana-731	70	14	exhibited	exhibit	VERB
cana-731	70	15	and	and	CCONJ
cana-731	70	16	assessed.agrawal	assessed.agrawal	VERB
cana-731	70	17	et	et	NOUN
cana-731	70	18	al	al	PROPN
cana-731	70	19	.	.	PUNCT
cana-731	71	1	[	[	X
cana-731	71	2	19	19	NUM
cana-731	71	3	]	]	PUNCT
cana-731	71	4	led	lead	VERB
cana-731	71	5	an	an	DET
cana-731	71	6	itemized	itemize	VERB
cana-731	71	7	assessment	assessment	NOUN
cana-731	71	8	of	of	ADP
cana-731	71	9	cyberbullying	cyberbullye	VERB
cana-731	71	10	identification	identification	NOUN
cana-731	71	11	on	on	ADP
cana-731	71	12	various	various	ADJ
cana-731	71	13	topics	topic	NOUN
cana-731	71	14	across	across	ADP
cana-731	71	15	various	various	ADJ
cana-731	71	16	smps	smp	NOUN
cana-731	71	17	utilizing	utilize	VERB
cana-731	71	18	dl	dl	NOUN
cana-731	71	19	-	-	PUNCT
cana-731	71	20	based	base	VERB
cana-731	71	21	models	model	NOUN
cana-731	71	22	and	and	CCONJ
cana-731	71	23	move	move	VERB
cana-731	71	24	learning	learn	VERB
cana-731	71	25	.	.	PUNCT
cana-731	72	1	to	to	PART
cana-731	72	2	lead	lead	VERB
cana-731	72	3	broad	broad	ADJ
cana-731	72	4	tests	test	NOUN
cana-731	72	5	,	,	PUNCT
cana-731	72	6	the	the	DET
cana-731	72	7	analysts	analyst	NOUN
cana-731	72	8	utilized	utilize	VERB
cana-731	72	9	three	three	NUM
cana-731	72	10	certifiable	certifiable	ADJ
cana-731	72	11	data	data	NOUN
cana-731	72	12	sets	set	NOUN
cana-731	72	13	:	:	PUNCT
cana-731	72	14	wikipedia	wikipedia	PROPN
cana-731	72	15	(	(	PUNCT
cana-731	72	16	100k	100k	NUM
cana-731	72	17	posts	post	NOUN
cana-731	72	18	)	)	PUNCT
cana-731	72	19	,	,	PUNCT
cana-731	72	20	twitter	twitter	NOUN
cana-731	72	21	(	(	PUNCT
cana-731	72	22	16k	16k	PROPN
cana-731	72	23	posts	post	NOUN
cana-731	72	24	)	)	PUNCT
cana-731	72	25	,	,	PUNCT
cana-731	72	26	and	and	CCONJ
cana-731	72	27	formspring	formspre	VERB
cana-731	72	28	(	(	PUNCT
cana-731	72	29	12k	12k	NUM
cana-731	72	30	posts	post	NOUN
cana-731	72	31	)	)	PUNCT
cana-731	72	32	.	.	PUNCT
cana-731	73	1	our	our	PRON
cana-731	73	2	examination	examination	NOUN
cana-731	73	3	delivered	deliver	VERB
cana-731	73	4	a	a	DET
cana-731	73	5	few	few	ADJ
cana-731	73	6	clever	clever	ADJ
cana-731	73	7	discoveries	discovery	NOUN
cana-731	73	8	about	about	ADP
cana-731	73	9	the	the	DET
cana-731	73	10	distinguishing	distinguish	VERB
cana-731	73	11	proof	proof	NOUN
cana-731	73	12	of	of	ADP
cana-731	73	13	cyberbullying	cyberbullye	VERB
cana-731	73	14	.	.	PUNCT
cana-731	74	1	gencoglu	gencoglu	NOUN
cana-731	74	2	and	and	CCONJ
cana-731	74	3	partners	partner	NOUN
cana-731	74	4	.	.	PUNCT
cana-731	75	1	[	[	X
cana-731	75	2	20	20	NUM
cana-731	75	3	]	]	PUNCT
cana-731	75	4	gave	give	VERB
cana-731	75	5	a	a	DET
cana-731	75	6	model	model	NOUN
cana-731	75	7	preparation	preparation	NOUN
cana-731	75	8	technique	technique	NOUN
cana-731	75	9	that	that	PRON
cana-731	75	10	can	can	AUX
cana-731	75	11	assess	assess	VERB
cana-731	75	12	our	our	PRON
cana-731	75	13	methodology	methodology	NOUN
cana-731	75	14	on	on	ADP
cana-731	75	15	various	various	ADJ
cana-731	75	16	information	information	NOUN
cana-731	75	17	bases	basis	NOUN
cana-731	75	18	and	and	CCONJ
cana-731	75	19	maybe	maybe	ADV
cana-731	75	20	incorporate	incorporate	VERB
cana-731	75	21	reasonableness	reasonableness	NOUN
cana-731	75	22	requirements	requirement	NOUN
cana-731	75	23	.	.	PUNCT
cana-731	76	1	iii	iii	X
cana-731	76	2	.	.	PUNCT
cana-731	77	1	the	the	DET
cana-731	77	2	creators	creator	NOUN
cana-731	77	3	exhibit	exhibit	VERB
cana-731	77	4	how	how	SCONJ
cana-731	77	5	to	to	PART
cana-731	77	6	actually	actually	ADV
cana-731	77	7	decrease	decrease	VERB
cana-731	77	8	incidental	incidental	ADJ
cana-731	77	9	inclinations	inclination	NOUN
cana-731	77	10	of	of	ADP
cana-731	77	11	numerous	numerous	ADJ
cana-731	77	12	sorts	sort	NOUN
cana-731	77	13	without	without	ADP
cana-731	77	14	forfeiting	forfeit	VERB
cana-731	77	15	the	the	DET
cana-731	77	16	precision	precision	NOUN
cana-731	77	17	of	of	ADP
cana-731	77	18	the	the	DET
cana-731	77	19	model	model	NOUN
cana-731	77	20	.	.	PUNCT
cana-731	78	1	the	the	DET
cana-731	78	2	work	work	NOUN
cana-731	78	3	,	,	PUNCT
cana-731	78	4	as	as	SCONJ
cana-731	78	5	indicated	indicate	VERB
cana-731	78	6	by	by	ADP
cana-731	78	7	the	the	DET
cana-731	78	8	analysts	analyst	NOUN
cana-731	78	9	,	,	PUNCT
cana-731	78	10	upgrades	upgrade	VERB
cana-731	78	11	the	the	DET
cana-731	78	12	chase	chase	NOUN
cana-731	78	13	after	after	ADP
cana-731	78	14	fair	fair	ADV
cana-731	78	15	-	-	PUNCT
cana-731	78	16	minded	minded	ADJ
cana-731	78	17	,	,	PUNCT
cana-731	78	18	open	open	ADJ
cana-731	78	19	,	,	PUNCT
cana-731	78	20	and	and	CCONJ
cana-731	78	21	moral	moral	ADJ
cana-731	78	22	ai	ai	ADJ
cana-731	78	23	ways	way	NOUN
cana-731	78	24	to	to	PART
cana-731	78	25	deal	deal	VERB
cana-731	78	26	with	with	ADP
cana-731	78	27	cybersocial	cybersocial	ADJ
cana-731	78	28	health.balakrishnan	health.balakrishnan	PROPN
cana-731	78	29	et	et	NOUN
cana-731	78	30	al	al	PROPN
cana-731	78	31	.	.	PUNCT
cana-731	79	1	[	[	X
cana-731	79	2	21	21	NUM
cana-731	79	3	]	]	X
cana-731	79	4	utilized	utilize	VERB
cana-731	79	5	both	both	CCONJ
cana-731	79	6	the	the	DET
cana-731	79	7	big	big	ADJ
cana-731	79	8	five	five	NUM
cana-731	79	9	and	and	CCONJ
cana-731	79	10	dark	dark	ADJ
cana-731	79	11	triad	triad	NUM
cana-731	79	12	of	of	ADP
cana-731	79	13	three	three	NUM
cana-731	79	14	techniques	technique	NOUN
cana-731	79	15	to	to	PART
cana-731	79	16	foster	foster	VERB
cana-731	79	17	a	a	DET
cana-731	79	18	calculation	calculation	NOUN
cana-731	79	19	for	for	ADP
cana-731	79	20	distinguishing	distinguish	VERB
cana-731	79	21	cyberbullying	cyberbullye	VERB
cana-731	79	22	in	in	ADP
cana-731	79	23	light	light	NOUN
cana-731	79	24	of	of	ADP
cana-731	79	25	client	client	NOUN
cana-731	79	26	brain	brain	NOUN
cana-731	79	27	research	research	NOUN
cana-731	79	28	.	.	PUNCT
cana-731	80	1	in	in	ADP
cana-731	80	2	view	view	NOUN
cana-731	80	3	of	of	ADP
cana-731	80	4	relationship	relationship	NOUN
cana-731	80	5	between	between	ADP
cana-731	80	6	character	character	NOUN
cana-731	80	7	attributes	attribute	NOUN
cana-731	80	8	and	and	CCONJ
cana-731	80	9	cyberbullying	cyberbullying	NOUN
cana-731	80	10	,	,	PUNCT
cana-731	80	11	the	the	DET
cana-731	80	12	calculation	calculation	NOUN
cana-731	80	13	searches	search	VERB
cana-731	80	14	for	for	ADP
cana-731	80	15	tormenting	torment	VERB
cana-731	80	16	designs	design	NOUN
cana-731	80	17	inside	inside	ADP
cana-731	80	18	twitter	twitter	NOUN
cana-731	80	19	people	people	NOUN
cana-731	80	20	group	group	NOUN
cana-731	80	21	.	.	PUNCT
cana-731	81	1	rf	rf	VERB
cana-731	81	2	,	,	PUNCT
cana-731	81	3	a	a	DET
cana-731	81	4	notable	notable	ADJ
cana-731	81	5	ml	ml	NOUN
cana-731	81	6	strategy	strategy	NOUN
cana-731	81	7	,	,	PUNCT
cana-731	81	8	was	be	AUX
cana-731	81	9	utilized	utilize	VERB
cana-731	81	10	related	relate	VERB
cana-731	81	11	to	to	ADP
cana-731	81	12	a	a	DET
cana-731	81	13	beginning	begin	VERB
cana-731	81	14	stage	stage	NOUN
cana-731	81	15	technique	technique	NOUN
cana-731	81	16	that	that	PRON
cana-731	81	17	included	include	VERB
cana-731	81	18	seven	seven	NUM
cana-731	81	19	twitter	twitter	NOUN
cana-731	81	20	factors	factor	NOUN
cana-731	81	21	(	(	PUNCT
cana-731	81	22	number	number	NOUN
cana-731	81	23	of	of	ADP
cana-731	81	24	notices	notice	NOUN
cana-731	81	25	,	,	PUNCT
cana-731	81	26	supporters	supporter	NOUN
cana-731	81	27	and	and	CCONJ
cana-731	81	28	following	follow	VERB
cana-731	81	29	,	,	PUNCT
cana-731	81	30	acknowledgment	acknowledgment	NOUN
cana-731	81	31	,	,	PUNCT
cana-731	81	32	most	most	ADV
cana-731	81	33	loved	love	VERB
cana-731	81	34	count	count	NOUN
cana-731	81	35	,	,	PUNCT
cana-731	81	36	status	status	NOUN
cana-731	81	37	count	count	NOUN
cana-731	81	38	,	,	PUNCT
cana-731	81	39	number	number	NOUN
cana-731	81	40	of	of	ADP
cana-731	81	41	hash	hash	NOUN
cana-731	81	42	labels	label	NOUN
cana-731	81	43	)	)	PUNCT
cana-731	81	44	to	to	PART
cana-731	81	45	order	order	VERB
cana-731	81	46	cyberbullying	cyberbullye	VERB
cana-731	81	47	(	(	PUNCT
cana-731	81	48	for	for	ADP
cana-731	81	49	example	example	NOUN
cana-731	81	50	attacker	attacker	PROPN
cana-731	81	51	,	,	PUNCT
cana-731	81	52	spammer	spammer	NOUN
cana-731	81	53	,	,	PUNCT
cana-731	81	54	menace	menace	NOUN
cana-731	81	55	,	,	PUNCT
cana-731	81	56	typical	typical	ADJ
cana-731	81	57	)	)	PUNCT
cana-731	81	58	.	.	PUNCT
cana-731	82	1	iv	iv	X
cana-731	82	2	.	.	PUNCT
cana-731	82	3	materials	material	NOUN
cana-731	82	4	and	and	CCONJ
cana-731	82	5	methods	method	NOUN
cana-731	82	6	a.	a.	PROPN
cana-731	82	7	deep	deep	ADJ
cana-731	82	8	neural	neural	ADJ
cana-731	82	9	network	network	NOUN
cana-731	82	10	(	(	PUNCT
cana-731	82	11	dnn	dnn	PROPN
cana-731	82	12	)	)	PUNCT
cana-731	82	13	in	in	ADP
cana-731	82	14	recent	recent	ADJ
cana-731	82	15	years	year	NOUN
cana-731	82	16	,	,	PUNCT
cana-731	82	17	deep	deep	ADJ
cana-731	82	18	learning	learning	NOUN
cana-731	82	19	has	have	AUX
cana-731	82	20	achieved	achieve	VERB
cana-731	82	21	tremendous	tremendous	ADJ
cana-731	82	22	success	success	NOUN
cana-731	82	23	in	in	ADP
cana-731	82	24	a	a	DET
cana-731	82	25	variety	variety	NOUN
cana-731	82	26	of	of	ADP
cana-731	82	27	application	application	NOUN
cana-731	82	28	fields	field	NOUN
cana-731	82	29	.	.	PUNCT
cana-731	83	1	the	the	DET
cana-731	83	2	science	science	NOUN
cana-731	83	3	of	of	ADP
cana-731	83	4	machine	machine	NOUN
cana-731	83	5	learning	learning	NOUN
cana-731	83	6	is	be	AUX
cana-731	83	7	rapidly	rapidly	ADV
cana-731	83	8	expanding	expand	VERB
cana-731	83	9	and	and	CCONJ
cana-731	83	10	has	have	AUX
cana-731	83	11	found	find	VERB
cana-731	83	12	application	application	NOUN
cana-731	83	13	in	in	ADP
cana-731	83	14	both	both	CCONJ
cana-731	83	15	traditional	traditional	ADJ
cana-731	83	16	and	and	CCONJ
cana-731	83	17	novel	novel	ADJ
cana-731	83	18	fields	field	NOUN
cana-731	83	19	.	.	PUNCT
cana-731	84	1	based	base	VERB
cana-731	84	2	on	on	ADP
cana-731	84	3	many	many	ADJ
cana-731	84	4	learning	learn	VERB
cana-731	84	5	categories	category	NOUN
cana-731	84	6	,	,	PUNCT
cana-731	84	7	including	include	VERB
cana-731	84	8	supervised	supervised	ADJ
cana-731	84	9	,	,	PUNCT
cana-731	84	10	semi	semi	ADJ
cana-731	84	11	-	-	ADJ
cana-731	84	12	supervised	supervised	ADJ
cana-731	84	13	,	,	PUNCT
cana-731	84	14	and	and	CCONJ
cana-731	84	15	unsupervised	unsupervised	ADJ
cana-731	84	16	learning	learning	NOUN
cana-731	84	17	,	,	PUNCT
cana-731	84	18	numerous	numerous	ADJ
cana-731	84	19	ways	way	NOUN
cana-731	84	20	have	have	AUX
cana-731	84	21	been	be	AUX
cana-731	84	22	created	create	VERB
cana-731	84	23	.	.	PUNCT
cana-731	85	1	a	a	DET
cana-731	85	2	subset	subset	NOUN
cana-731	85	3	of	of	ADP
cana-731	85	4	machine	machine	NOUN
cana-731	85	5	learning	learning	NOUN
cana-731	85	6	known	know	VERB
cana-731	85	7	as	as	ADP
cana-731	85	8	deep	deep	ADJ
cana-731	85	9	learning	learning	NOUN
cana-731	85	10	(	(	PUNCT
cana-731	85	11	dl	dl	INTJ
cana-731	85	12	)	)	PUNCT
cana-731	85	13	was	be	AUX
cana-731	85	14	created	create	VERB
cana-731	85	15	utilizing	utilize	VERB
cana-731	85	16	deep	deep	ADJ
cana-731	85	17	learning	learning	NOUN
cana-731	85	18	architectures	architecture	NOUN
cana-731	85	19	or	or	CCONJ
cana-731	85	20	hierarchical	hierarchical	ADJ
cana-731	85	21	learning	learning	NOUN
cana-731	85	22	techniques	technique	NOUN
cana-731	85	23	.	.	PUNCT
cana-731	86	1	estimating	estimate	VERB
cana-731	86	2	model	model	NOUN
cana-731	86	3	parameters	parameter	NOUN
cana-731	86	4	to	to	PART
cana-731	86	5	enable	enable	VERB
cana-731	86	6	the	the	DET
cana-731	86	7	trained	train	VERB
cana-731	86	8	model	model	NOUN
cana-731	86	9	to	to	PART
cana-731	86	10	complete	complete	VERB
cana-731	86	11	a	a	DET
cana-731	86	12	task	task	NOUN
cana-731	86	13	is	be	AUX
cana-731	86	14	the	the	DET
cana-731	86	15	communications	communication	NOUN
cana-731	86	16	on	on	ADP
cana-731	86	17	applied	apply	VERB
cana-731	86	18	nonlinear	nonlinear	ADJ
cana-731	86	19	analysis	analysis	NOUN
cana-731	86	20	issn	issn	NOUN
cana-731	86	21	:	:	PUNCT
cana-731	86	22	1074	1074	NUM
cana-731	86	23	-	-	PUNCT
cana-731	86	24	133x	133x	NUM
cana-731	86	25	vol	vol	NOUN
cana-731	86	26	31	31	NUM
cana-731	86	27	no	no	NOUN
cana-731	86	28	.	.	PUNCT
cana-731	87	1	3s	3s	NUM
cana-731	87	2	(	(	PUNCT
cana-731	87	3	2024	2024	NUM
cana-731	87	4	)	)	PUNCT
cana-731	87	5	65	65	NUM
cana-731	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	87	7	process	process	NOUN
cana-731	87	8	of	of	ADP
cana-731	87	9	learning	learn	VERB
cana-731	87	10	.	.	PUNCT
cana-731	88	1	for	for	ADP
cana-731	88	2	example	example	NOUN
cana-731	88	3	,	,	PUNCT
cana-731	88	4	in	in	ADP
cana-731	88	5	an	an	DET
cana-731	88	6	artificial	artificial	ADJ
cana-731	88	7	neural	neural	ADJ
cana-731	88	8	network	network	NOUN
cana-731	88	9	(	(	PUNCT
cana-731	88	10	ann	ann	PROPN
cana-731	88	11	)	)	PUNCT
cana-731	88	12	,	,	PUNCT
cana-731	88	13	the	the	DET
cana-731	88	14	parameters	parameter	NOUN
cana-731	88	15	that	that	PRON
cana-731	88	16	need	need	VERB
cana-731	88	17	to	to	PART
cana-731	88	18	be	be	AUX
cana-731	88	19	estimated	estimate	VERB
cana-731	88	20	are	be	AUX
cana-731	88	21	the	the	DET
cana-731	88	22	weight	weight	NOUN
cana-731	88	23	matrices	matrix	NOUN
cana-731	88	24	.	.	PUNCT
cana-731	89	1	dl	dl	INTJ
cana-731	89	2	,	,	PUNCT
cana-731	89	3	on	on	ADP
cana-731	89	4	the	the	DET
cana-731	89	5	other	other	ADJ
cana-731	89	6	hand	hand	NOUN
cana-731	89	7	,	,	PUNCT
cana-731	89	8	has	have	VERB
cana-731	89	9	several	several	ADJ
cana-731	89	10	layers	layer	NOUN
cana-731	89	11	between	between	ADP
cana-731	89	12	the	the	DET
cana-731	89	13	layers	layer	NOUN
cana-731	89	14	of	of	ADP
cana-731	89	15	input	input	NOUN
cana-731	89	16	and	and	CCONJ
cana-731	89	17	output	output	NOUN
cana-731	89	18	in	in	ADP
cana-731	89	19	its	its	PRON
cana-731	89	20	design	design	NOUN
cana-731	89	21	[	[	X
cana-731	89	22	29	29	NUM
cana-731	89	23	]	]	X
cana-731	90	1	[	[	X
cana-731	90	2	30	30	NUM
cana-731	90	3	]	]	PUNCT
cana-731	90	4	.	.	PUNCT
cana-731	91	1	pattern	pattern	NOUN
cana-731	91	2	recognition	recognition	NOUN
cana-731	91	3	and	and	CCONJ
cana-731	91	4	feature	feature	NOUN
cana-731	91	5	learning	learning	NOUN
cana-731	91	6	can	can	AUX
cana-731	91	7	benefit	benefit	VERB
cana-731	91	8	from	from	ADP
cana-731	91	9	the	the	DET
cana-731	91	10	multi	multi	ADJ
cana-731	91	11	-	-	ADJ
cana-731	91	12	stage	stage	ADJ
cana-731	91	13	nonlinear	nonlinear	ADJ
cana-731	91	14	information	information	NOUN
cana-731	91	15	processing	processing	NOUN
cana-731	91	16	made	make	VERB
cana-731	91	17	possible	possible	ADJ
cana-731	91	18	by	by	ADP
cana-731	91	19	this	this	DET
cana-731	91	20	hierarchical	hierarchical	ADJ
cana-731	91	21	structure	structure	NOUN
cana-731	91	22	design	design	NOUN
cana-731	91	23	.	.	PUNCT
cana-731	92	1	in	in	ADP
cana-731	92	2	this	this	DET
cana-731	92	3	context	context	NOUN
cana-731	92	4	,	,	PUNCT
cana-731	92	5	representation	representation	NOUN
cana-731	92	6	learning	learning	NOUN
cana-731	92	7	refers	refer	VERB
cana-731	92	8	to	to	ADP
cana-731	92	9	a	a	DET
cana-731	92	10	data	data	NOUN
cana-731	92	11	-	-	PUNCT
cana-731	92	12	driven	drive	VERB
cana-731	92	13	learning	learning	NOUN
cana-731	92	14	approach	approach	NOUN
cana-731	92	15	.	.	PUNCT
cana-731	93	1	figure	figure	VERB
cana-731	93	2	3	3	NUM
cana-731	93	3	shows	show	VERB
cana-731	93	4	architecture	architecture	NOUN
cana-731	93	5	of	of	ADP
cana-731	93	6	dnn	dnn	PROPN
cana-731	93	7	algorithm	algorithm	NOUN
cana-731	93	8	.	.	PUNCT
cana-731	94	1	figure	figure	VERB
cana-731	94	2	3	3	NUM
cana-731	94	3	:	:	PUNCT
cana-731	94	4	architecture	architecture	NOUN
cana-731	94	5	of	of	ADP
cana-731	94	6	dnn	dnn	PROPN
cana-731	94	7	algorithm	algorithm	PROPN
cana-731	94	8	pseudo	pseudo	NOUN
cana-731	94	9	code	code	NOUN
cana-731	94	10	for	for	ADP
cana-731	94	11	dnn	dnn	PROPN
cana-731	94	12	step	step	NOUN
cana-731	94	13	1	1	NUM
cana-731	94	14	:	:	PUNCT
cana-731	94	15	initialize	initialize	VERB
cana-731	94	16	parameters	parameter	NOUN
cana-731	94	17	:	:	PUNCT
cana-731	94	18	set	set	VERB
cana-731	94	19	the	the	DET
cana-731	94	20	neural	neural	ADJ
cana-731	94	21	network	network	NOUN
cana-731	94	22	's	's	PART
cana-731	94	23	weights	weight	NOUN
cana-731	94	24	and	and	CCONJ
cana-731	94	25	biases	bias	NOUN
cana-731	94	26	to	to	ADP
cana-731	94	27	either	either	CCONJ
cana-731	94	28	random	random	ADJ
cana-731	94	29	or	or	CCONJ
cana-731	94	30	present	present	ADJ
cana-731	94	31	values	value	NOUN
cana-731	94	32	.	.	PUNCT
cana-731	95	1	step	step	NOUN
cana-731	95	2	2	2	NUM
cana-731	95	3	:	:	PUNCT
cana-731	95	4	loop	loop	NOUN
cana-731	95	5	over	over	ADP
cana-731	95	6	epochs	epoch	NOUN
cana-731	95	7	:	:	PUNCT
cana-731	95	8	continue	continue	VERB
cana-731	95	9	iterating	iterate	VERB
cana-731	95	10	until	until	ADP
cana-731	95	11	convergence	convergence	NOUN
cana-731	95	12	or	or	CCONJ
cana-731	95	13	for	for	ADP
cana-731	95	14	a	a	DET
cana-731	95	15	predetermined	predetermine	VERB
cana-731	95	16	number	number	NOUN
cana-731	95	17	of	of	ADP
cana-731	95	18	epochs	epoch	NOUN
cana-731	95	19	.	.	PUNCT
cana-731	96	1	step	step	NOUN
cana-731	96	2	3	3	NUM
cana-731	96	3	:	:	PUNCT
cana-731	96	4	forward	forward	ADJ
cana-731	96	5	propagation	propagation	NOUN
cana-731	96	6	:	:	PUNCT
cana-731	96	7	to	to	PART
cana-731	96	8	determine	determine	VERB
cana-731	96	9	the	the	DET
cana-731	96	10	expected	expect	VERB
cana-731	96	11	output	output	NOUN
cana-731	96	12	for	for	ADP
cana-731	96	13	every	every	DET
cana-731	96	14	input	input	NOUN
cana-731	96	15	sample	sample	NOUN
cana-731	96	16	,	,	PUNCT
cana-731	96	17	carry	carry	VERB
cana-731	96	18	out	out	ADP
cana-731	96	19	forward	forward	ADJ
cana-731	96	20	propagation	propagation	NOUN
cana-731	96	21	over	over	ADP
cana-731	96	22	the	the	DET
cana-731	96	23	network	network	NOUN
cana-731	96	24	.	.	PUNCT
cana-731	97	1	step	step	NOUN
cana-731	97	2	4	4	NUM
cana-731	97	3	:	:	PUNCT
cana-731	97	4	compute	compute	NOUN
cana-731	97	5	cost	cost	NOUN
cana-731	97	6	function	function	NOUN
cana-731	97	7	:	:	PUNCT
cana-731	97	8	to	to	PART
cana-731	97	9	determine	determine	VERB
cana-731	97	10	the	the	DET
cana-731	97	11	difference	difference	NOUN
cana-731	97	12	within	within	ADP
cana-731	97	13	the	the	DET
cana-731	97	14	expected	expect	VERB
cana-731	97	15	and	and	CCONJ
cana-731	97	16	actual	actual	ADJ
cana-731	97	17	output	output	NOUN
cana-731	97	18	,	,	PUNCT
cana-731	97	19	compute	compute	VERB
cana-731	97	20	the	the	DET
cana-731	97	21	cost	cost	NOUN
cana-731	97	22	function	function	NOUN
cana-731	97	23	,	,	PUNCT
cana-731	97	24	also	also	ADV
cana-731	97	25	known	know	VERB
cana-731	97	26	as	as	ADP
cana-731	97	27	the	the	DET
cana-731	97	28	loss	loss	NOUN
cana-731	97	29	function	function	NOUN
cana-731	97	30	.	.	PUNCT
cana-731	98	1	step	step	NOUN
cana-731	98	2	5	5	NUM
cana-731	98	3	:	:	PUNCT
cana-731	98	4	backward	backward	ADJ
cana-731	98	5	propagation	propagation	NOUN
cana-731	98	6	:	:	PUNCT
cana-731	98	7	to	to	PART
cana-731	98	8	calculate	calculate	VERB
cana-731	98	9	the	the	DET
cana-731	98	10	change	change	NOUN
cana-731	98	11	in	in	ADP
cana-731	98	12	slope	slope	NOUN
cana-731	98	13	of	of	ADP
cana-731	98	14	the	the	DET
cana-731	98	15	cost	cost	NOUN
cana-731	98	16	functions	function	NOUN
cana-731	98	17	with	with	ADP
cana-731	98	18	respect	respect	NOUN
cana-731	98	19	to	to	ADP
cana-731	98	20	the	the	DET
cana-731	98	21	network	network	NOUN
cana-731	98	22	's	's	PART
cana-731	98	23	parameters	parameter	NOUN
cana-731	98	24	.	.	PUNCT
cana-731	99	1	step	step	VERB
cana-731	99	2	6	6	NUM
cana-731	99	3	:	:	PUNCT
cana-731	99	4	update	update	NOUN
cana-731	99	5	parameters	parameter	NOUN
cana-731	99	6	:	:	PUNCT
cana-731	99	7	using	use	VERB
cana-731	99	8	an	an	DET
cana-731	99	9	optimization	optimization	NOUN
cana-731	99	10	approach	approach	NOUN
cana-731	99	11	like	like	ADP
cana-731	99	12	gradient	gradient	ADJ
cana-731	99	13	descent	descent	NOUN
cana-731	99	14	,	,	PUNCT
cana-731	99	15	update	update	VERB
cana-731	99	16	the	the	DET
cana-731	99	17	network	network	NOUN
cana-731	99	18	's	's	PART
cana-731	99	19	parameters	parameter	NOUN
cana-731	99	20	(	(	PUNCT
cana-731	99	21	weights	weight	NOUN
cana-731	99	22	and	and	CCONJ
cana-731	99	23	biases	bias	NOUN
cana-731	99	24	)	)	PUNCT
cana-731	99	25	.	.	PUNCT
cana-731	100	1	step	step	NOUN
cana-731	100	2	7	7	NUM
cana-731	100	3	:	:	PUNCT
cana-731	100	4	utilize	utilize	VERB
cana-731	100	5	trained	train	VERB
cana-731	100	6	model	model	NOUN
cana-731	100	7	for	for	ADP
cana-731	100	8	predictions	prediction	NOUN
cana-731	100	9	:	:	PUNCT
cana-731	100	10	after	after	SCONJ
cana-731	100	11	the	the	DET
cana-731	100	12	model	model	NOUN
cana-731	100	13	has	have	AUX
cana-731	100	14	been	be	AUX
cana-731	100	15	trained	train	VERB
cana-731	100	16	,	,	PUNCT
cana-731	100	17	apply	apply	VERB
cana-731	100	18	it	it	PRON
cana-731	100	19	to	to	ADP
cana-731	100	20	new	new	ADJ
cana-731	100	21	or	or	CCONJ
cana-731	100	22	untested	untested	ADJ
cana-731	100	23	data	datum	NOUN
cana-731	100	24	to	to	PART
cana-731	100	25	generate	generate	VERB
cana-731	100	26	predictions	prediction	NOUN
cana-731	100	27	.	.	PUNCT
cana-731	101	1	step	step	NOUN
cana-731	101	2	8	8	NUM
cana-731	101	3	:	:	PUNCT
cana-731	101	4	examine	examine	VERB
cana-731	101	5	the	the	DET
cana-731	101	6	model	model	NOUN
cana-731	101	7	:	:	PUNCT
cana-731	101	8	you	you	PRON
cana-731	101	9	can	can	AUX
cana-731	101	10	choose	choose	VERB
cana-731	101	11	to	to	PART
cana-731	101	12	use	use	VERB
cana-731	101	13	measures	measure	NOUN
cana-731	101	14	like	like	ADP
cana-731	101	15	exactness	exactness	NOUN
cana-731	101	16	,	,	PUNCT
cana-731	101	17	accuracy	accuracy	NOUN
cana-731	101	18	,	,	PUNCT
cana-731	101	19	review	review	NOUN
cana-731	101	20	,	,	PUNCT
cana-731	101	21	or	or	CCONJ
cana-731	101	22	f1	f1	NOUN
cana-731	101	23	-	-	PUNCT
cana-731	101	24	score	score	NOUN
cana-731	101	25	to	to	PART
cana-731	101	26	survey	survey	VERB
cana-731	101	27	how	how	SCONJ
cana-731	101	28	well	well	ADV
cana-731	101	29	the	the	DET
cana-731	101	30	prepared	prepared	ADJ
cana-731	101	31	model	model	NOUN
cana-731	101	32	performed	perform	VERB
cana-731	101	33	.	.	PUNCT
cana-731	102	1	communications	communication	NOUN
cana-731	102	2	on	on	ADP
cana-731	102	3	applied	apply	VERB
cana-731	102	4	nonlinear	nonlinear	ADJ
cana-731	102	5	analysis	analysis	NOUN
cana-731	102	6	issn	issn	NOUN
cana-731	102	7	:	:	PUNCT
cana-731	102	8	1074	1074	NUM
cana-731	102	9	-	-	PUNCT
cana-731	102	10	133x	133x	NUM
cana-731	102	11	vol	vol	NOUN
cana-731	102	12	31	31	NUM
cana-731	102	13	no	no	NOUN
cana-731	102	14	.	.	PUNCT
cana-731	103	1	3s	3s	NUM
cana-731	103	2	(	(	PUNCT
cana-731	103	3	2024	2024	NUM
cana-731	103	4	)	)	PUNCT
cana-731	103	5	66	66	NUM
cana-731	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	103	7	b.	b.	PROPN
cana-731	103	8	artificial	artificial	ADJ
cana-731	103	9	neural	neural	ADJ
cana-731	103	10	networks	network	NOUN
cana-731	103	11	(	(	PUNCT
cana-731	103	12	ann	ann	PROPN
cana-731	103	13	)	)	PUNCT
cana-731	103	14	the	the	DET
cana-731	103	15	amazing	amazing	ADJ
cana-731	103	16	capacities	capacity	NOUN
cana-731	103	17	of	of	ADP
cana-731	103	18	the	the	DET
cana-731	103	19	human	human	ADJ
cana-731	103	20	brain	brain	NOUN
cana-731	103	21	have	have	AUX
cana-731	103	22	inspired	inspire	VERB
cana-731	103	23	the	the	DET
cana-731	103	24	development	development	NOUN
cana-731	103	25	of	of	ADP
cana-731	103	26	an	an	DET
cana-731	103	27	intriguing	intriguing	ADJ
cana-731	103	28	computer	computer	NOUN
cana-731	103	29	paradigm	paradigm	NOUN
cana-731	103	30	known	know	VERB
cana-731	103	31	as	as	ADP
cana-731	103	32	artificial	artificial	ADJ
cana-731	103	33	neural	neural	ADJ
cana-731	103	34	networks	network	NOUN
cana-731	103	35	,	,	PUNCT
cana-731	103	36	or	or	CCONJ
cana-731	103	37	anns	ann	NOUN
cana-731	103	38	.	.	PUNCT
cana-731	104	1	because	because	SCONJ
cana-731	104	2	of	of	ADP
cana-731	104	3	their	their	PRON
cana-731	104	4	superior	superior	ADJ
cana-731	104	5	performance	performance	NOUN
cana-731	104	6	on	on	ADP
cana-731	104	7	tasks	task	NOUN
cana-731	104	8	like	like	ADP
cana-731	104	9	pattern	pattern	NOUN
cana-731	104	10	recognition	recognition	NOUN
cana-731	104	11	,	,	PUNCT
cana-731	104	12	regression	regression	NOUN
cana-731	104	13	,	,	PUNCT
cana-731	104	14	classification	classification	NOUN
cana-731	104	15	,	,	PUNCT
cana-731	104	16	and	and	CCONJ
cana-731	104	17	clustering	clustering	NOUN
cana-731	104	18	,	,	PUNCT
cana-731	104	19	these	these	DET
cana-731	104	20	networks	network	NOUN
cana-731	104	21	—	—	PUNCT
cana-731	104	22	the	the	DET
cana-731	104	23	foundation	foundation	NOUN
cana-731	104	24	of	of	ADP
cana-731	104	25	machine	machine	NOUN
cana-731	104	26	learning	learning	NOUN
cana-731	104	27	—	—	PUNCT
cana-731	104	28	have	have	AUX
cana-731	104	29	transformed	transform	VERB
cana-731	104	30	a	a	DET
cana-731	104	31	number	number	NOUN
cana-731	104	32	of	of	ADP
cana-731	104	33	fields	field	NOUN
cana-731	104	34	.	.	PUNCT
cana-731	105	1	artificial	artificial	ADJ
cana-731	105	2	neurones	neurone	NOUN
cana-731	105	3	,	,	PUNCT
cana-731	105	4	sometimes	sometimes	ADV
cana-731	105	5	referred	refer	VERB
cana-731	105	6	to	to	ADP
cana-731	105	7	as	as	ADP
cana-731	105	8	nodes	node	NOUN
cana-731	105	9	or	or	CCONJ
cana-731	105	10	units	unit	NOUN
cana-731	105	11	,	,	PUNCT
cana-731	105	12	are	be	AUX
cana-731	105	13	coupled	couple	VERB
cana-731	105	14	to	to	PART
cana-731	105	15	form	form	VERB
cana-731	105	16	anns	ann	NOUN
cana-731	105	17	.	.	PUNCT
cana-731	106	1	an	an	DET
cana-731	106	2	info	info	NOUN
cana-731	106	3	layer	layer	NOUN
cana-731	106	4	,	,	PUNCT
cana-731	106	5	various	various	ADJ
cana-731	106	6	hidden	hidden	ADJ
cana-731	106	7	layers	layer	NOUN
cana-731	106	8	,	,	PUNCT
cana-731	106	9	with	with	ADP
cana-731	106	10	a	a	DET
cana-731	106	11	result	result	NOUN
cana-731	106	12	layer	layer	NOUN
cana-731	106	13	make	make	VERB
cana-731	106	14	up	up	ADP
cana-731	106	15	the	the	DET
cana-731	106	16	layers	layer	NOUN
cana-731	106	17	that	that	PRON
cana-731	106	18	these	these	DET
cana-731	106	19	neurons	neuron	NOUN
cana-731	106	20	are	be	AUX
cana-731	106	21	organized	organize	VERB
cana-731	106	22	into	into	ADP
cana-731	106	23	.	.	PUNCT
cana-731	107	1	each	each	DET
cana-731	107	2	neuron	neuron	NOUN
cana-731	107	3	learns	learn	VERB
cana-731	107	4	,	,	PUNCT
cana-731	107	5	changes	change	VERB
cana-731	107	6	it	it	PRON
cana-731	107	7	utilizing	utilize	VERB
cana-731	107	8	an	an	DET
cana-731	107	9	actuation	actuation	NOUN
cana-731	107	10	capability	capability	NOUN
cana-731	107	11	,	,	PUNCT
cana-731	107	12	and	and	CCONJ
cana-731	107	13	afterward	afterward	ADV
cana-731	107	14	produces	produce	VERB
cana-731	107	15	a	a	DET
cana-731	107	16	result	result	NOUN
cana-731	107	17	that	that	PRON
cana-731	107	18	is	be	AUX
cana-731	107	19	utilized	utilize	VERB
cana-731	107	20	as	as	ADP
cana-731	107	21	a	a	DET
cana-731	107	22	contribution	contribution	NOUN
cana-731	107	23	by	by	ADP
cana-731	107	24	neurons	neuron	NOUN
cana-731	107	25	in	in	ADP
cana-731	107	26	the	the	DET
cana-731	107	27	layer	layer	NOUN
cana-731	107	28	above	above	ADV
cana-731	107	29	.	.	PUNCT
cana-731	108	1	weighted	weight	VERB
cana-731	108	2	associations	association	NOUN
cana-731	108	3	connect	connect	VERB
cana-731	108	4	neurons	neuron	NOUN
cana-731	108	5	inside	inside	ADP
cana-731	108	6	adjoining	adjoining	ADJ
cana-731	108	7	layers	layer	NOUN
cana-731	108	8	.	.	PUNCT
cana-731	109	1	each	each	DET
cana-731	109	2	relationship	relationship	NOUN
cana-731	109	3	has	have	VERB
cana-731	109	4	a	a	DET
cana-731	109	5	weight	weight	NOUN
cana-731	109	6	that	that	PRON
cana-731	109	7	compares	compare	VERB
cana-731	109	8	to	to	ADP
cana-731	109	9	its	its	PRON
cana-731	109	10	solidarity	solidarity	NOUN
cana-731	109	11	or	or	CCONJ
cana-731	109	12	importance	importance	NOUN
cana-731	109	13	.	.	PUNCT
cana-731	110	1	these	these	DET
cana-731	110	2	loads	load	NOUN
cana-731	110	3	are	be	AUX
cana-731	110	4	changed	change	VERB
cana-731	110	5	during	during	ADP
cana-731	110	6	preparing	prepare	VERB
cana-731	110	7	to	to	PART
cana-731	110	8	diminish	diminish	VERB
cana-731	110	9	the	the	DET
cana-731	110	10	disparity	disparity	NOUN
cana-731	110	11	between	between	ADP
cana-731	110	12	the	the	DET
cana-731	110	13	anticipated	anticipate	VERB
cana-731	110	14	and	and	CCONJ
cana-731	110	15	genuine	genuine	ADJ
cana-731	110	16	results	result	NOUN
cana-731	110	17	of	of	ADP
cana-731	110	18	the	the	DET
cana-731	110	19	organization	organization	NOUN
cana-731	110	20	.	.	PUNCT
cana-731	111	1	figure	figure	VERB
cana-731	111	2	4	4	NUM
cana-731	111	3	shows	show	VERB
cana-731	111	4	engineering	engineering	NOUN
cana-731	111	5	of	of	ADP
cana-731	111	6	ann	ann	PROPN
cana-731	111	7	calculation	calculation	NOUN
cana-731	111	8	.	.	PUNCT
cana-731	112	1	figure	figure	VERB
cana-731	112	2	4	4	NUM
cana-731	112	3	:	:	PUNCT
cana-731	112	4	architecture	architecture	NOUN
cana-731	112	5	of	of	ADP
cana-731	112	6	ann	ann	PROPN
cana-731	112	7	algorithm	algorithm	PROPN
cana-731	112	8	pseudo	pseudo	NOUN
cana-731	112	9	code	code	NOUN
cana-731	112	10	for	for	ADP
cana-731	112	11	ann	ann	PROPN
cana-731	112	12	step	step	NOUN
cana-731	112	13	1	1	NUM
cana-731	112	14	:	:	PUNCT
cana-731	112	15	randomly	randomly	ADV
cana-731	112	16	or	or	CCONJ
cana-731	112	17	with	with	ADP
cana-731	112	18	predetermined	predetermine	VERB
cana-731	112	19	settings	setting	NOUN
cana-731	112	20	,	,	PUNCT
cana-731	112	21	establish	establish	VERB
cana-731	112	22	the	the	DET
cana-731	112	23	weights	weight	NOUN
cana-731	112	24	and	and	CCONJ
cana-731	112	25	biases	bias	NOUN
cana-731	112	26	.	.	PUNCT
cana-731	113	1	step	step	NOUN
cana-731	113	2	2	2	NUM
cana-731	113	3	:	:	PUNCT
cana-731	113	4	give	give	VERB
cana-731	113	5	definitions	definition	NOUN
cana-731	113	6	to	to	ADP
cana-731	113	7	the	the	DET
cana-731	113	8	derivative	derivative	ADJ
cana-731	113	9	and	and	CCONJ
cana-731	113	10	activation	activation	NOUN
cana-731	113	11	function	function	NOUN
cana-731	113	12	.	.	PUNCT
cana-731	114	1	the	the	DET
cana-731	114	2	derivative	derivative	ADJ
cana-731	114	3	ofthe	ofthe	NOUN
cana-731	114	4	sigmoid	sigmoid	NOUN
cana-731	114	5	activation	activation	NOUN
cana-731	114	6	function	function	NOUN
cana-731	114	7	is	be	AUX
cana-731	114	8	one	one	NUM
cana-731	114	9	example	example	NOUN
cana-731	114	10	.	.	PUNCT
cana-731	115	1	step	step	NOUN
cana-731	115	2	3	3	NUM
cana-731	115	3	:	:	PUNCT
cana-731	115	4	establish	establish	VERB
cana-731	115	5	the	the	DET
cana-731	115	6	loss	loss	NOUN
cana-731	115	7	function	function	NOUN
cana-731	115	8	.	.	PUNCT
cana-731	116	1	mean	mean	VERB
cana-731	116	2	squared	square	VERB
cana-731	116	3	error	error	NOUN
cana-731	116	4	(	(	PUNCT
cana-731	116	5	mse	mse	NOUN
cana-731	116	6	)	)	PUNCT
cana-731	116	7	and	and	CCONJ
cana-731	116	8	cross	cross	ADJ
cana-731	116	9	-	-	ADJ
cana-731	116	10	entropy	entropy	ADJ
cana-731	116	11	loss	loss	NOUN
cana-731	116	12	are	be	AUX
cana-731	116	13	two	two	NUM
cana-731	116	14	examples	example	NOUN
cana-731	116	15	.	.	PUNCT
cana-731	117	1	step	step	NOUN
cana-731	117	2	4	4	NUM
cana-731	117	3	:	:	PUNCT
cana-731	117	4	establish	establish	VERB
cana-731	117	5	the	the	DET
cana-731	117	6	amount	amount	NOUN
cana-731	117	7	of	of	ADP
cana-731	117	8	epochs	epoch	NOUN
cana-731	117	9	and	and	CCONJ
cana-731	117	10	the	the	DET
cana-731	117	11	learning	learning	NOUN
cana-731	117	12	rate	rate	NOUN
cana-731	117	13	.	.	PUNCT
cana-731	118	1	step	step	NOUN
cana-731	118	2	5	5	NUM
cana-731	118	3	:	:	PUNCT
cana-731	118	4	continue	continue	VERB
cana-731	118	5	around	around	ADP
cana-731	118	6	the	the	DET
cana-731	118	7	epochs	epoch	NOUN
cana-731	118	8	:	:	PUNCT
cana-731	118	9	repeat	repeat	VERB
cana-731	118	10	for	for	ADP
cana-731	118	11	every	every	DET
cana-731	118	12	training	training	NOUN
cana-731	118	13	case	case	NOUN
cana-731	118	14	:	:	PUNCT
cana-731	118	15	•	•	PUNCT
cana-731	118	16	carry	carry	VERB
cana-731	118	17	out	out	ADP
cana-731	118	18	forward	forward	ADJ
cana-731	118	19	diffusion	diffusion	NOUN
cana-731	118	20	and	and	CCONJ
cana-731	118	21	determine	determine	VERB
cana-731	118	22	the	the	DET
cana-731	118	23	input	input	NOUN
cana-731	118	24	and	and	CCONJ
cana-731	118	25	bias	bias	NOUN
cana-731	118	26	weights	weight	NOUN
cana-731	118	27	,	,	PUNCT
cana-731	118	28	weighted	weight	VERB
cana-731	118	29	collectively	collectively	ADV
cana-731	118	30	,	,	PUNCT
cana-731	118	31	for	for	ADP
cana-731	118	32	every	every	DET
cana-731	118	33	neuron	neuron	NOUN
cana-731	118	34	in	in	ADP
cana-731	118	35	every	every	DET
cana-731	118	36	layer	layer	NOUN
cana-731	118	37	.	.	PUNCT
cana-731	119	1	to	to	PART
cana-731	119	2	obtain	obtain	VERB
cana-731	119	3	each	each	DET
cana-731	119	4	neuron	neuron	NOUN
cana-731	119	5	's	's	PART
cana-731	119	6	output	output	NOUN
cana-731	119	7	,	,	PUNCT
cana-731	119	8	apply	apply	VERB
cana-731	119	9	the	the	DET
cana-731	119	10	stimulation	stimulation	NOUN
cana-731	119	11	function	function	NOUN
cana-731	119	12	to	to	ADP
cana-731	119	13	the	the	DET
cana-731	119	14	scaled	scale	VERB
cana-731	119	15	aggregate	aggregate	NOUN
cana-731	119	16	.	.	PUNCT
cana-731	120	1	•	•	NUM
cana-731	120	2	determine	determine	VERB
cana-731	120	3	the	the	DET
cana-731	120	4	amount	amount	NOUN
cana-731	120	5	of	of	ADP
cana-731	120	6	loss	loss	NOUN
cana-731	120	7	that	that	PRON
cana-731	120	8	exists	exist	VERB
cana-731	120	9	between	between	ADP
cana-731	120	10	the	the	DET
cana-731	120	11	expected	expect	VERB
cana-731	120	12	and	and	CCONJ
cana-731	120	13	actual	actual	ADJ
cana-731	120	14	output	output	NOUN
cana-731	120	15	.	.	PUNCT
cana-731	121	1	•	•	NUM
cana-731	121	2	carry	carry	VERB
cana-731	121	3	out	out	ADP
cana-731	121	4	backward	backward	ADJ
cana-731	121	5	propagation	propagation	NOUN
cana-731	121	6	by	by	ADP
cana-731	121	7	utilizing	utilize	VERB
cana-731	121	8	the	the	DET
cana-731	121	9	chain	chain	NOUN
cana-731	121	10	rule	rule	NOUN
cana-731	121	11	to	to	PART
cana-731	121	12	calculate	calculate	VERB
cana-731	121	13	the	the	DET
cana-731	121	14	gradient	gradient	NOUN
cana-731	121	15	of	of	ADP
cana-731	121	16	the	the	DET
cana-731	121	17	loss	loss	NOUN
cana-731	121	18	with	with	ADP
cana-731	121	19	regard	regard	NOUN
cana-731	121	20	to	to	ADP
cana-731	121	21	the	the	DET
cana-731	121	22	biases	bias	NOUN
cana-731	121	23	and	and	CCONJ
cana-731	121	24	weights	weight	NOUN
cana-731	121	25	.	.	PUNCT
cana-731	122	1	communications	communication	NOUN
cana-731	122	2	on	on	ADP
cana-731	122	3	applied	apply	VERB
cana-731	122	4	nonlinear	nonlinear	ADJ
cana-731	122	5	analysis	analysis	NOUN
cana-731	122	6	issn	issn	NOUN
cana-731	122	7	:	:	PUNCT
cana-731	122	8	1074	1074	NUM
cana-731	122	9	-	-	PUNCT
cana-731	122	10	133x	133x	NUM
cana-731	122	11	vol	vol	NOUN
cana-731	122	12	31	31	NUM
cana-731	122	13	no	no	NOUN
cana-731	122	14	.	.	PUNCT
cana-731	123	1	3s	3s	NUM
cana-731	123	2	(	(	PUNCT
cana-731	123	3	2024	2024	NUM
cana-731	123	4	)	)	PUNCT
cana-731	123	5	67	67	NUM
cana-731	123	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	123	7	•	•	NUM
cana-731	123	8	apply	apply	VERB
cana-731	123	9	gradient	gradient	ADJ
cana-731	123	10	descent	descent	NOUN
cana-731	123	11	to	to	PART
cana-731	123	12	modify	modify	VERB
cana-731	123	13	the	the	DET
cana-731	123	14	weights	weight	NOUN
cana-731	123	15	and	and	CCONJ
cana-731	123	16	biases	bias	NOUN
cana-731	123	17	:	:	PUNCT
cana-731	123	18	using	use	VERB
cana-731	123	19	the	the	DET
cana-731	123	20	gradient	gradient	NOUN
cana-731	123	21	and	and	CCONJ
cana-731	123	22	learning	learn	VERB
cana-731	123	23	rate	rate	NOUN
cana-731	123	24	of	of	ADP
cana-731	123	25	each	each	DET
cana-731	123	26	weight	weight	NOUN
cana-731	123	27	,	,	PUNCT
cana-731	123	28	update	update	VERB
cana-731	123	29	the	the	DET
cana-731	123	30	bias	bias	NOUN
cana-731	123	31	.	.	PUNCT
cana-731	124	1	step	step	NOUN
cana-731	124	2	6	6	NUM
cana-731	124	3	:	:	PUNCT
cana-731	124	4	the	the	DET
cana-731	124	5	artificial	artificial	ADJ
cana-731	124	6	neural	neural	ADJ
cana-731	124	7	network	network	NOUN
cana-731	124	8	(	(	PUNCT
cana-731	124	9	ann	ann	PROPN
cana-731	124	10	)	)	PUNCT
cana-731	124	11	model	model	NOUN
cana-731	124	12	is	be	AUX
cana-731	124	13	trained	train	VERB
cana-731	124	14	following	follow	VERB
cana-731	124	15	the	the	DET
cana-731	124	16	predetermined	predetermine	VERB
cana-731	124	17	number	number	NOUN
cana-731	124	18	of	of	ADP
cana-731	124	19	epochs	epoch	NOUN
cana-731	124	20	.	.	PUNCT
cana-731	125	1	step	step	NOUN
cana-731	125	2	7	7	NUM
cana-731	125	3	:	:	PUNCT
cana-731	125	4	to	to	PART
cana-731	125	5	forecast	forecast	VERB
cana-731	125	6	:	:	PUNCT
cana-731	125	7	implement	implement	VERB
cana-731	125	8	forward	forward	ADJ
cana-731	125	9	propagation	propagation	NOUN
cana-731	125	10	with	with	ADP
cana-731	125	11	the	the	DET
cana-731	125	12	biases	bias	NOUN
cana-731	125	13	and	and	CCONJ
cana-731	125	14	weights	weight	NOUN
cana-731	125	15	that	that	PRON
cana-731	125	16	have	have	AUX
cana-731	125	17	been	be	AUX
cana-731	125	18	trained	train	VERB
cana-731	125	19	and	and	CCONJ
cana-731	125	20	determine	determine	VERB
cana-731	125	21	each	each	DET
cana-731	125	22	layer	layer	NOUN
cana-731	125	23	's	's	PART
cana-731	125	24	neuron	neuron	NOUN
cana-731	125	25	's	's	PART
cana-731	125	26	output	output	NOUN
cana-731	125	27	.	.	PUNCT
cana-731	126	1	give	give	VERB
cana-731	126	2	the	the	DET
cana-731	126	3	forecast	forecast	NOUN
cana-731	126	4	back	back	ADV
cana-731	126	5	as	as	ADP
cana-731	126	6	the	the	DET
cana-731	126	7	last	last	ADJ
cana-731	126	8	layer	layer	NOUN
cana-731	126	9	's	's	PART
cana-731	126	10	output	output	NOUN
cana-731	126	11	.	.	PUNCT
cana-731	127	1	c.	c.	PROPN
cana-731	127	2	radial	radial	ADJ
cana-731	127	3	basis	basis	NOUN
cana-731	127	4	function	function	NOUN
cana-731	127	5	network	network	NOUN
cana-731	127	6	(	(	PUNCT
cana-731	127	7	rbfn	rbfn	NOUN
cana-731	127	8	)	)	PUNCT
cana-731	127	9	in	in	ADP
cana-731	127	10	the	the	DET
cana-731	127	11	field	field	NOUN
cana-731	127	12	of	of	ADP
cana-731	127	13	artificial	artificial	ADJ
cana-731	127	14	neural	neural	ADJ
cana-731	127	15	networks	network	NOUN
cana-731	127	16	,	,	PUNCT
cana-731	127	17	the	the	DET
cana-731	127	18	radial	radial	ADJ
cana-731	127	19	basis	basis	NOUN
cana-731	127	20	function	function	NOUN
cana-731	127	21	network	network	NOUN
cana-731	127	22	(	(	PUNCT
cana-731	127	23	rbfn	rbfn	NOUN
cana-731	127	24	)	)	PUNCT
cana-731	127	25	algorithm	algorithm	NOUN
cana-731	127	26	is	be	AUX
cana-731	127	27	a	a	DET
cana-731	127	28	potent	potent	ADJ
cana-731	127	29	tool	tool	NOUN
cana-731	127	30	that	that	PRON
cana-731	127	31	offers	offer	VERB
cana-731	127	32	a	a	DET
cana-731	127	33	distinctive	distinctive	ADJ
cana-731	127	34	architecture	architecture	NOUN
cana-731	127	35	and	and	CCONJ
cana-731	127	36	learning	learn	VERB
cana-731	127	37	methodology	methodology	NOUN
cana-731	127	38	apart	apart	ADV
cana-731	127	39	from	from	ADP
cana-731	127	40	conventional	conventional	ADJ
cana-731	127	41	feedforward	feedforward	NOUN
cana-731	127	42	networks	network	NOUN
cana-731	127	43	.	.	PUNCT
cana-731	128	1	regression	regression	NOUN
cana-731	128	2	tasks	task	NOUN
cana-731	128	3	,	,	PUNCT
cana-731	128	4	pattern	pattern	NOUN
cana-731	128	5	recognition	recognition	NOUN
cana-731	128	6	applications	application	NOUN
cana-731	128	7	,	,	PUNCT
cana-731	128	8	and	and	CCONJ
cana-731	128	9	function	function	NOUN
cana-731	128	10	approximation	approximation	NOUN
cana-731	128	11	are	be	AUX
cana-731	128	12	areas	area	NOUN
cana-731	128	13	where	where	SCONJ
cana-731	128	14	rbfns	rbfns	NOUN
cana-731	128	15	excel	excel	VERB
cana-731	128	16	.	.	PUNCT
cana-731	129	1	the	the	DET
cana-731	129	2	three	three	NUM
cana-731	129	3	primary	primary	ADJ
cana-731	129	4	layers	layer	NOUN
cana-731	129	5	that	that	PRON
cana-731	129	6	make	make	VERB
cana-731	129	7	up	up	ADP
cana-731	129	8	an	an	DET
cana-731	129	9	rbfn	rbfn	NOUN
cana-731	129	10	's	's	PART
cana-731	129	11	layered	layered	ADJ
cana-731	129	12	structure	structure	NOUN
cana-731	129	13	are	be	AUX
cana-731	129	14	the	the	DET
cana-731	129	15	input	input	NOUN
cana-731	129	16	,	,	PUNCT
cana-731	129	17	hidden	hide	VERB
cana-731	129	18	,	,	PUNCT
cana-731	129	19	and	and	CCONJ
cana-731	129	20	output	output	NOUN
cana-731	129	21	layers	layer	NOUN
cana-731	129	22	.	.	PUNCT
cana-731	130	1	each	each	DET
cana-731	130	2	neuron	neuron	NOUN
cana-731	130	3	in	in	ADP
cana-731	130	4	the	the	DET
cana-731	130	5	input	input	NOUN
cana-731	130	6	layer	layer	NOUN
cana-731	130	7	represents	represent	VERB
cana-731	130	8	an	an	DET
cana-731	130	9	area	area	NOUN
cana-731	130	10	of	of	ADP
cana-731	130	11	the	the	DET
cana-731	130	12	input	input	NOUN
cana-731	130	13	space	space	NOUN
cana-731	130	14	,	,	PUNCT
cana-731	130	15	acting	act	VERB
cana-731	130	16	as	as	ADP
cana-731	130	17	the	the	DET
cana-731	130	18	data	data	NOUN
cana-731	130	19	entry	entry	NOUN
cana-731	130	20	point	point	NOUN
cana-731	130	21	.	.	PUNCT
cana-731	131	1	the	the	DET
cana-731	131	2	unique	unique	ADJ
cana-731	131	3	quality	quality	NOUN
cana-731	131	4	of	of	ADP
cana-731	131	5	rbfns	rbfns	NOUN
cana-731	131	6	appears	appear	VERB
cana-731	131	7	in	in	ADP
cana-731	131	8	the	the	DET
cana-731	131	9	concealed	conceal	VERB
cana-731	131	10	layer	layer	NOUN
cana-731	131	11	.	.	PUNCT
cana-731	132	1	each	each	DET
cana-731	132	2	neuron	neuron	NOUN
cana-731	132	3	in	in	ADP
cana-731	132	4	it	it	PRON
cana-731	132	5	is	be	AUX
cana-731	132	6	linked	link	VERB
cana-731	132	7	to	to	ADP
cana-731	132	8	a	a	DET
cana-731	132	9	radial	radial	ADJ
cana-731	132	10	basis	basis	NOUN
cana-731	132	11	function	function	NOUN
cana-731	132	12	(	(	PUNCT
cana-731	132	13	rbf	rbf	PROPN
cana-731	132	14	)	)	PUNCT
cana-731	132	15	.	.	PUNCT
cana-731	133	1	these	these	DET
cana-731	133	2	rbfs	rbfs	NOUN
cana-731	133	3	calculate	calculate	VERB
cana-731	133	4	how	how	SCONJ
cana-731	133	5	similar	similar	ADJ
cana-731	133	6	the	the	DET
cana-731	133	7	input	input	NOUN
cana-731	133	8	data	data	NOUN
cana-731	133	9	is	be	AUX
cana-731	133	10	to	to	ADP
cana-731	133	11	a	a	DET
cana-731	133	12	set	set	NOUN
cana-731	133	13	of	of	ADP
cana-731	133	14	centroids	centroid	NOUN
cana-731	133	15	,	,	PUNCT
cana-731	133	16	or	or	CCONJ
cana-731	133	17	reference	reference	NOUN
cana-731	133	18	vectors	vector	NOUN
cana-731	133	19	.	.	PUNCT
cana-731	134	1	the	the	DET
cana-731	134	2	gaussian	gaussian	ADJ
cana-731	134	3	function	function	NOUN
cana-731	134	4	,	,	PUNCT
cana-731	134	5	that	that	PRON
cana-731	134	6	determines	determine	VERB
cana-731	134	7	the	the	DET
cana-731	134	8	separation	separation	NOUN
cana-731	134	9	between	between	ADP
cana-731	134	10	the	the	DET
cana-731	134	11	input	input	NOUN
cana-731	134	12	value	value	NOUN
cana-731	134	13	and	and	CCONJ
cana-731	134	14	centroid	centroid	NOUN
cana-731	134	15	in	in	ADP
cana-731	134	16	a	a	DET
cana-731	134	17	space	space	NOUN
cana-731	134	18	with	with	ADP
cana-731	134	19	multiple	multiple	ADJ
cana-731	134	20	dimensions	dimension	NOUN
cana-731	134	21	,	,	PUNCT
cana-731	134	22	is	be	AUX
cana-731	134	23	a	a	DET
cana-731	134	24	popular	popular	ADJ
cana-731	134	25	option	option	NOUN
cana-731	134	26	for	for	ADP
cana-731	134	27	rbfs	rbfs	NOUN
cana-731	134	28	.	.	PUNCT
cana-731	135	1	figure	figure	NOUN
cana-731	135	2	5	5	NUM
cana-731	135	3	shows	show	VERB
cana-731	135	4	the	the	DET
cana-731	135	5	architecture	architecture	NOUN
cana-731	135	6	of	of	ADP
cana-731	135	7	rbfn	rbfn	NOUN
cana-731	135	8	algorithm	algorithm	NOUN
cana-731	135	9	.	.	PUNCT
cana-731	136	1	figure	figure	VERB
cana-731	136	2	5	5	NUM
cana-731	136	3	:	:	PUNCT
cana-731	136	4	architecture	architecture	NOUN
cana-731	136	5	of	of	ADP
cana-731	136	6	rbfn	rbfn	NOUN
cana-731	136	7	algorithm	algorithm	PROPN
cana-731	136	8	pseudo	pseudo	NOUN
cana-731	136	9	code	code	NOUN
cana-731	136	10	for	for	ADP
cana-731	136	11	rbfn	rbfn	NOUN
cana-731	136	12	step	step	NOUN
cana-731	136	13	1	1	NUM
cana-731	136	14	:	:	PUNCT
cana-731	136	15	set	set	VERB
cana-731	136	16	the	the	DET
cana-731	136	17	length	length	NOUN
cana-731	136	18	parameter	parameter	NOUN
cana-731	136	19	(	(	PUNCT
cana-731	136	20	sigma	sigma	PROPN
cana-731	136	21	)	)	PUNCT
cana-731	136	22	and	and	CCONJ
cana-731	136	23	the	the	DET
cana-731	136	24	total	total	ADJ
cana-731	136	25	amount	amount	NOUN
cana-731	136	26	of	of	ADP
cana-731	136	27	centers	center	NOUN
cana-731	136	28	(	(	PUNCT
cana-731	136	29	num_centers	num_center	NOUN
cana-731	136	30	)	)	PUNCT
cana-731	136	31	to	to	ADP
cana-731	136	32	initial	initial	ADJ
cana-731	136	33	values	value	NOUN
cana-731	136	34	.	.	PUNCT
cana-731	137	1	step	step	NOUN
cana-731	137	2	2	2	NUM
cana-731	137	3	:	:	PUNCT
cana-731	137	4	initialize	initialize	VERB
cana-731	137	5	the	the	DET
cana-731	137	6	centers	center	NOUN
cana-731	137	7	at	at	ADP
cana-731	137	8	random	random	ADJ
cana-731	137	9	.	.	PUNCT
cana-731	138	1	step3	step3	PROPN
cana-731	138	2	:	:	PUNCT
cana-731	138	3	educate	educate	VERB
cana-731	138	4	the	the	DET
cana-731	138	5	rbfn	rbfn	NOUN
cana-731	138	6	:	:	PUNCT
cana-731	138	7	determine	determine	VERB
cana-731	138	8	each	each	DET
cana-731	138	9	rbf	rbf	PROPN
cana-731	138	10	neuron	neuron	PROPN
cana-731	138	11	's	's	PART
cana-731	138	12	activity	activity	NOUN
cana-731	138	13	for	for	ADP
cana-731	138	14	the	the	DET
cana-731	138	15	given	give	VERB
cana-731	138	16	input	input	NOUN
cana-731	138	17	data	datum	NOUN
cana-731	138	18	.	.	PUNCT
cana-731	139	1	•	•	NUM
cana-731	139	2	calculate	calculate	VERB
cana-731	139	3	the	the	DET
cana-731	139	4	output	output	NOUN
cana-731	139	5	of	of	ADP
cana-731	139	6	the	the	DET
cana-731	139	7	radial	radial	ADJ
cana-731	139	8	base	base	NOUN
cana-731	139	9	function	function	NOUN
cana-731	139	10	based	base	VERB
cana-731	139	11	on	on	ADP
cana-731	139	12	the	the	DET
cana-731	139	13	input	input	NOUN
cana-731	139	14	data	data	NOUN
cana-731	139	15	point	point	NOUN
cana-731	139	16	(	(	PUNCT
cana-731	139	17	x	x	NOUN
cana-731	139	18	)	)	PUNCT
cana-731	139	19	and	and	CCONJ
cana-731	139	20	center	center	NOUN
cana-731	139	21	(	(	PUNCT
cana-731	139	22	c	c	NOUN
cana-731	139	23	)	)	PUNCT
cana-731	139	24	for	for	ADP
cana-731	139	25	each	each	PRON
cana-731	139	26	.	.	PUNCT
cana-731	140	1	•	•	NOUN
cana-731	140	2	save	save	VERB
cana-731	140	3	the	the	DET
cana-731	140	4	result	result	NOUN
cana-731	140	5	as	as	ADP
cana-731	140	6	the	the	DET
cana-731	140	7	relevant	relevant	ADJ
cana-731	140	8	rbf	rbf	PROPN
cana-731	140	9	neuron	neuron	PROPN
cana-731	140	10	's	's	PART
cana-731	140	11	activation	activation	NOUN
cana-731	140	12	.	.	PUNCT
cana-731	141	1	communications	communication	NOUN
cana-731	141	2	on	on	ADP
cana-731	141	3	applied	apply	VERB
cana-731	141	4	nonlinear	nonlinear	ADJ
cana-731	141	5	analysis	analysis	NOUN
cana-731	141	6	issn	issn	NOUN
cana-731	141	7	:	:	PUNCT
cana-731	141	8	1074	1074	NUM
cana-731	141	9	-	-	PUNCT
cana-731	141	10	133x	133x	NUM
cana-731	141	11	vol	vol	NOUN
cana-731	141	12	31	31	NUM
cana-731	141	13	no	no	NOUN
cana-731	141	14	.	.	PUNCT
cana-731	142	1	3s	3s	NUM
cana-731	142	2	(	(	PUNCT
cana-731	142	3	2024	2024	NUM
cana-731	142	4	)	)	PUNCT
cana-731	142	5	68	68	NUM
cana-731	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	142	7	•	•	NOUN
cana-731	142	8	give	give	VERB
cana-731	142	9	the	the	DET
cana-731	142	10	activations	activation	NOUN
cana-731	142	11	a	a	DET
cana-731	142	12	bias	bias	NOUN
cana-731	142	13	term	term	NOUN
cana-731	142	14	.	.	PUNCT
cana-731	143	1	utilizing	utilize	VERB
cana-731	143	2	least	least	ADJ
cana-731	143	3	squares	square	NOUN
cana-731	143	4	regression	regression	NOUN
cana-731	143	5	,	,	PUNCT
cana-731	143	6	determine	determine	VERB
cana-731	143	7	the	the	DET
cana-731	143	8	weights	weight	NOUN
cana-731	143	9	:	:	PUNCT
cana-731	143	10	join	join	VERB
cana-731	143	11	the	the	DET
cana-731	143	12	activations	activation	NOUN
cana-731	143	13	together	together	ADV
cana-731	143	14	with	with	ADP
cana-731	143	15	a	a	DET
cana-731	143	16	bias	bias	NOUN
cana-731	143	17	column	column	NOUN
cana-731	143	18	of	of	ADP
cana-731	143	19	ones	one	NOUN
cana-731	143	20	.	.	PUNCT
cana-731	144	1	•	•	ADP
cana-731	144	2	to	to	PART
cana-731	144	3	determine	determine	VERB
cana-731	144	4	the	the	DET
cana-731	144	5	weights	weight	NOUN
cana-731	144	6	that	that	PRON
cana-731	144	7	minimizes	minimize	VERB
cana-731	144	8	the	the	DET
cana-731	144	9	error	error	NOUN
cana-731	144	10	between	between	ADP
cana-731	144	11	the	the	DET
cana-731	144	12	expected	expect	VERB
cana-731	144	13	and	and	CCONJ
cana-731	144	14	actual	actual	ADJ
cana-731	144	15	outputs	output	NOUN
cana-731	144	16	,	,	PUNCT
cana-731	144	17	use	use	NOUN
cana-731	144	18	least	least	ADJ
cana-731	144	19	squares	square	NOUN
cana-731	144	20	regression	regression	NOUN
cana-731	144	21	.	.	PUNCT
cana-731	145	1	step	step	NOUN
cana-731	145	2	4	4	NUM
cana-731	145	3	:	:	PUNCT
cana-731	145	4	with	with	ADP
cana-731	145	5	the	the	DET
cana-731	145	6	trained	train	VERB
cana-731	145	7	rbfn	rbfn	NOUN
cana-731	145	8	,	,	PUNCT
cana-731	145	9	forecast	forecast	NOUN
cana-731	145	10	:	:	PUNCT
cana-731	145	11	•	•	NOUN
cana-731	145	12	determine	determine	VERB
cana-731	145	13	how	how	SCONJ
cana-731	145	14	much	much	ADJ
cana-731	145	15	each	each	PRON
cana-731	145	16	and	and	CCONJ
cana-731	145	17	every	every	DET
cana-731	145	18	rbf	rbf	PROPN
cana-731	145	19	neuron	neuron	PROPN
cana-731	145	20	is	be	AUX
cana-731	145	21	activated	activate	VERB
cana-731	145	22	given	give	VERB
cana-731	145	23	the	the	DET
cana-731	145	24	input	input	NOUN
cana-731	145	25	data	datum	NOUN
cana-731	145	26	•	•	NOUN
cana-731	145	27	give	give	VERB
cana-731	145	28	the	the	DET
cana-731	145	29	activations	activation	NOUN
cana-731	145	30	a	a	DET
cana-731	145	31	bias	bias	NOUN
cana-731	145	32	term	term	NOUN
cana-731	145	33	.	.	PUNCT
cana-731	146	1	•	•	NUM
cana-731	146	2	multiply	multiply	VERB
cana-731	146	3	the	the	DET
cana-731	146	4	activations	activation	NOUN
cana-731	146	5	by	by	ADP
cana-731	146	6	the	the	DET
cana-731	146	7	weights	weight	NOUN
cana-731	146	8	to	to	PART
cana-731	146	9	calculate	calculate	VERB
cana-731	146	10	the	the	DET
cana-731	146	11	predictions	prediction	NOUN
cana-731	146	12	.	.	PUNCT
cana-731	147	1	step	step	NOUN
cana-731	147	2	5	5	NUM
cana-731	147	3	:	:	PUNCT
cana-731	147	4	present	present	VERB
cana-731	147	5	the	the	DET
cana-731	147	6	forecasts	forecast	NOUN
cana-731	147	7	.	.	PUNCT
cana-731	148	1	v.	v.	ADP
cana-731	148	2	experimental	experimental	ADJ
cana-731	148	3	results	result	NOUN
cana-731	148	4	the	the	DET
cana-731	148	5	objective	objective	NOUN
cana-731	148	6	of	of	ADP
cana-731	148	7	this	this	DET
cana-731	148	8	research	research	NOUN
cana-731	148	9	work	work	NOUN
cana-731	148	10	is	be	AUX
cana-731	148	11	to	to	PART
cana-731	148	12	use	use	VERB
cana-731	148	13	text	text	NOUN
cana-731	148	14	datasets	dataset	NOUN
cana-731	148	15	(	(	PUNCT
cana-731	148	16	categorical	categorical	ADJ
cana-731	148	17	data	datum	NOUN
cana-731	148	18	)	)	PUNCT
cana-731	148	19	to	to	PART
cana-731	148	20	forecast	forecast	VERB
cana-731	148	21	heart	heart	NOUN
cana-731	148	22	disease	disease	NOUN
cana-731	148	23	.	.	PUNCT
cana-731	149	1	numerous	numerous	ADJ
cana-731	149	2	techniques	technique	NOUN
cana-731	149	3	are	be	AUX
cana-731	149	4	employed	employ	VERB
cana-731	149	5	to	to	PART
cana-731	149	6	identify	identify	VERB
cana-731	149	7	problems	problem	NOUN
cana-731	149	8	in	in	ADP
cana-731	149	9	the	the	DET
cana-731	149	10	healthcare	healthcare	NOUN
cana-731	149	11	industry	industry	NOUN
cana-731	149	12	,	,	PUNCT
cana-731	149	13	such	such	ADJ
cana-731	149	14	as	as	ADP
cana-731	149	15	medical	medical	ADJ
cana-731	149	16	data	data	NOUN
cana-731	149	17	sets	set	NOUN
cana-731	149	18	,	,	PUNCT
cana-731	149	19	and	and	CCONJ
cana-731	149	20	to	to	PART
cana-731	149	21	forecast	forecast	VERB
cana-731	149	22	patient	patient	ADJ
cana-731	149	23	illness	illness	NOUN
cana-731	149	24	risks	risk	NOUN
cana-731	149	25	and	and	CCONJ
cana-731	149	26	individual	individual	ADJ
cana-731	149	27	costs	cost	NOUN
cana-731	149	28	.	.	PUNCT
cana-731	150	1	preprocessing	preprocesse	VERB
cana-731	150	2	the	the	DET
cana-731	150	3	data	datum	NOUN
cana-731	150	4	and	and	CCONJ
cana-731	150	5	making	make	VERB
cana-731	150	6	predictions	prediction	NOUN
cana-731	150	7	are	be	AUX
cana-731	150	8	the	the	DET
cana-731	150	9	two	two	NUM
cana-731	150	10	primary	primary	ADJ
cana-731	150	11	processes	process	NOUN
cana-731	150	12	in	in	ADP
cana-731	150	13	this	this	DET
cana-731	150	14	research	research	NOUN
cana-731	150	15	project	project	NOUN
cana-731	150	16	.	.	PUNCT
cana-731	151	1	during	during	ADP
cana-731	151	2	preprocessing	preprocessing	NOUN
cana-731	151	3	,	,	PUNCT
cana-731	151	4	the	the	DET
cana-731	151	5	duplicate	duplicate	NOUN
cana-731	151	6	record	record	NOUN
cana-731	151	7	,	,	PUNCT
cana-731	151	8	data	datum	NOUN
cana-731	151	9	that	that	PRON
cana-731	151	10	is	be	AUX
cana-731	151	11	missing	miss	VERB
cana-731	151	12	,	,	PUNCT
cana-731	151	13	and	and	CCONJ
cana-731	151	14	noise	noise	NOUN
cana-731	151	15	in	in	ADP
cana-731	151	16	the	the	DET
cana-731	151	17	reliable	reliable	ADJ
cana-731	151	18	information	information	NOUN
cana-731	151	19	will	will	AUX
cana-731	151	20	be	be	AUX
cana-731	151	21	eliminated	eliminate	VERB
cana-731	151	22	from	from	ADP
cana-731	151	23	the	the	DET
cana-731	151	24	database	database	NOUN
cana-731	151	25	.	.	PUNCT
cana-731	152	1	in	in	ADP
cana-731	152	2	order	order	NOUN
cana-731	152	3	to	to	PART
cana-731	152	4	predict	predict	VERB
cana-731	152	5	the	the	DET
cana-731	152	6	attitudes	attitude	NOUN
cana-731	152	7	and	and	CCONJ
cana-731	152	8	viewpoints	viewpoint	NOUN
cana-731	152	9	in	in	ADP
cana-731	152	10	the	the	DET
cana-731	152	11	kind	kind	NOUN
cana-731	152	12	of	of	ADP
cana-731	152	13	textual	textual	ADJ
cana-731	152	14	data	datum	NOUN
cana-731	152	15	,	,	PUNCT
cana-731	152	16	the	the	DET
cana-731	152	17	dataset	dataset	NOUN
cana-731	152	18	was	be	AUX
cana-731	152	19	used	use	VERB
cana-731	152	20	in	in	ADP
cana-731	152	21	the	the	DET
cana-731	152	22	prediction	prediction	NOUN
cana-731	152	23	process	process	NOUN
cana-731	152	24	using	use	VERB
cana-731	152	25	deep	deep	ADJ
cana-731	152	26	neural	neural	ADJ
cana-731	152	27	network	network	NOUN
cana-731	152	28	,	,	PUNCT
cana-731	152	29	artificial	artificial	ADJ
cana-731	152	30	neural	neural	ADJ
cana-731	152	31	network	network	NOUN
cana-731	152	32	,	,	PUNCT
cana-731	152	33	radial	radial	ADJ
cana-731	152	34	basis	basis	NOUN
cana-731	152	35	function	function	NOUN
cana-731	152	36	network	network	NOUN
cana-731	152	37	.	.	PUNCT
cana-731	153	1	a.	a.	NOUN
cana-731	153	2	data	data	PROPN
cana-731	153	3	set	set	VERB
cana-731	153	4	the	the	DET
cana-731	153	5	text	text	NOUN
cana-731	153	6	-	-	PUNCT
cana-731	153	7	based	base	VERB
cana-731	153	8	dataset	dataset	NOUN
cana-731	153	9	used	use	VERB
cana-731	153	10	in	in	ADP
cana-731	153	11	this	this	DET
cana-731	153	12	study	study	NOUN
cana-731	153	13	was	be	AUX
cana-731	153	14	downloaded	download	VERB
cana-731	153	15	as	as	ADP
cana-731	153	16	a.csv	a.csv	NUM
cana-731	153	17	file	file	NOUN
cana-731	153	18	from	from	ADP
cana-731	153	19	the	the	DET
cana-731	153	20	kaggle	kaggle	ADJ
cana-731	153	21	repository	repository	NOUN
cana-731	153	22	.	.	PUNCT
cana-731	154	1	the	the	DET
cana-731	154	2	dataset	dataset	NOUN
cana-731	154	3	's	's	PART
cana-731	154	4	filename	filename	NOUN
cana-731	154	5	is	be	AUX
cana-731	154	6	text_data.csv	text_data.csv	NUM
cana-731	154	7	.	.	PUNCT
cana-731	155	1	this	this	DET
cana-731	155	2	research	research	NOUN
cana-731	155	3	project	project	NOUN
cana-731	155	4	has	have	VERB
cana-731	155	5	around	around	ADV
cana-731	155	6	5000	5000	NUM
cana-731	155	7	records	record	NOUN
cana-731	155	8	,	,	PUNCT
cana-731	155	9	of	of	ADP
cana-731	155	10	which	which	PRON
cana-731	155	11	500	500	NUM
cana-731	155	12	text	text	NOUN
cana-731	155	13	records	record	NOUN
cana-731	155	14	were	be	AUX
cana-731	155	15	taken	take	VERB
cana-731	155	16	and	and	CCONJ
cana-731	155	17	examined	examine	VERB
cana-731	155	18	.	.	PUNCT
cana-731	156	1	figure	figure	VERB
cana-731	156	2	6	6	NUM
cana-731	156	3	:	:	PUNCT
cana-731	156	4	sample	sample	NOUN
cana-731	156	5	dataset	dataset	NOUN
cana-731	156	6	communications	communication	NOUN
cana-731	156	7	on	on	ADP
cana-731	156	8	applied	apply	VERB
cana-731	156	9	nonlinear	nonlinear	ADJ
cana-731	156	10	analysis	analysis	NOUN
cana-731	156	11	issn	issn	NOUN
cana-731	156	12	:	:	PUNCT
cana-731	156	13	1074	1074	NUM
cana-731	156	14	-	-	PUNCT
cana-731	156	15	133x	133x	NUM
cana-731	156	16	vol	vol	NOUN
cana-731	156	17	31	31	NUM
cana-731	156	18	no	no	NOUN
cana-731	156	19	.	.	PUNCT
cana-731	157	1	3s	3s	NUM
cana-731	157	2	(	(	PUNCT
cana-731	157	3	2024	2024	NUM
cana-731	157	4	)	)	PUNCT
cana-731	157	5	69	69	NUM
cana-731	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	158	1	the	the	DET
cana-731	158	2	dataset	dataset	NOUN
cana-731	158	3	used	use	VERB
cana-731	158	4	in	in	ADP
cana-731	158	5	this	this	DET
cana-731	158	6	research	research	NOUN
cana-731	158	7	project	project	NOUN
cana-731	158	8	is	be	AUX
cana-731	158	9	in.csv	in.csv	VERB
cana-731	158	10	format	format	NOUN
cana-731	158	11	.	.	PUNCT
cana-731	159	1	there	there	PRON
cana-731	159	2	are	be	VERB
cana-731	159	3	five	five	NUM
cana-731	159	4	attributes	attribute	NOUN
cana-731	159	5	in	in	ADP
cana-731	159	6	the	the	DET
cana-731	159	7	dataset	dataset	NOUN
cana-731	159	8	,	,	PUNCT
cana-731	159	9	and	and	CCONJ
cana-731	159	10	500	500	NUM
cana-731	159	11	entries	entry	NOUN
cana-731	159	12	are	be	AUX
cana-731	159	13	examined	examine	VERB
cana-731	159	14	.	.	PUNCT
cana-731	160	1	the	the	DET
cana-731	160	2	text	text	NOUN
cana-731	160	3	was	be	AUX
cana-731	160	4	categorised	categorise	VERB
cana-731	160	5	as	as	ADP
cana-731	160	6	abuse	abuse	NOUN
cana-731	160	7	,	,	PUNCT
cana-731	160	8	highly	highly	ADV
cana-731	160	9	malignant	malignant	ADJ
cana-731	160	10	,	,	PUNCT
cana-731	160	11	malignant	malignant	ADJ
cana-731	160	12	,	,	PUNCT
cana-731	160	13	threat	threat	NOUN
cana-731	160	14	,	,	PUNCT
cana-731	160	15	and	and	CCONJ
cana-731	160	16	loathe	loathe	VERB
cana-731	160	17	in	in	ADP
cana-731	160	18	this	this	DET
cana-731	160	19	regard	regard	NOUN
cana-731	160	20	.	.	PUNCT
cana-731	161	1	figure	figure	NOUN
cana-731	161	2	6	6	NUM
cana-731	161	3	displays	display	VERB
cana-731	161	4	the	the	DET
cana-731	161	5	dataset	dataset	NOUN
cana-731	161	6	sample	sample	NOUN
cana-731	161	7	.	.	PUNCT
cana-731	162	1	the	the	DET
cana-731	162	2	characteristics	characteristic	NOUN
cana-731	162	3	vary	vary	VERB
cana-731	162	4	throughout	throughout	ADP
cana-731	162	5	texts	text	NOUN
cana-731	162	6	.	.	PUNCT
cana-731	163	1	b.	b.	PROPN
cana-731	163	2	data	data	PROPN
cana-731	163	3	preprocessing	preprocesse	VERB
cana-731	163	4	we	we	PRON
cana-731	163	5	can	can	AUX
cana-731	163	6	pre	pre	VERB
cana-731	163	7	-	-	NOUN
cana-731	163	8	process	process	NOUN
cana-731	163	9	data	datum	NOUN
cana-731	163	10	with	with	ADP
cana-731	163	11	the	the	DET
cana-731	163	12	help	help	NOUN
cana-731	163	13	of	of	ADP
cana-731	163	14	natural	natural	ADJ
cana-731	163	15	language	language	NOUN
cana-731	163	16	processing	processing	NOUN
cana-731	163	17	(	(	PUNCT
cana-731	163	18	nlp	nlp	NOUN
cana-731	163	19	)	)	PUNCT
cana-731	163	20	libraries	library	NOUN
cana-731	163	21	.	.	PUNCT
cana-731	164	1	the	the	DET
cana-731	164	2	preprocessing	preprocessing	NOUN
cana-731	164	3	steps	step	NOUN
cana-731	164	4	involved	involve	VERB
cana-731	164	5	are	be	AUX
cana-731	164	6	as	as	SCONJ
cana-731	164	7	follows	follow	VERB
cana-731	164	8	:	:	PUNCT
cana-731	164	9	a	a	X
cana-731	164	10	)	)	PUNCT
cana-731	164	11	converting	convert	VERB
cana-731	164	12	all	all	DET
cana-731	164	13	text	text	NOUN
cana-731	164	14	to	to	PART
cana-731	164	15	lowercase	lowercase	VERB
cana-731	164	16	(	(	PUNCT
cana-731	164	17	for	for	ADP
cana-731	164	18	uniformity	uniformity	NOUN
cana-731	164	19	)	)	PUNCT
cana-731	164	20	b	b	NOUN
cana-731	164	21	)	)	PUNCT
cana-731	164	22	stop	stop	VERB
cana-731	164	23	word	word	NOUN
cana-731	164	24	removal	removal	NOUN
cana-731	164	25	c	c	NOUN
cana-731	164	26	)	)	PUNCT
cana-731	164	27	hashtag	hashtag	NOUN
cana-731	164	28	and	and	CCONJ
cana-731	164	29	url	url	X
cana-731	164	30	removal	removal	NOUN
cana-731	164	31	d	d	NOUN
cana-731	164	32	)	)	PUNCT
cana-731	164	33	tokenization	tokenization	NOUN
cana-731	164	34	of	of	ADP
cana-731	164	35	text	text	NOUN
cana-731	164	36	e	e	NOUN
cana-731	164	37	)	)	PUNCT
cana-731	164	38	punctuation	punctuation	NOUN
cana-731	164	39	removal	removal	NOUN
cana-731	164	40	f	f	X
cana-731	164	41	)	)	PUNCT
cana-731	164	42	lemmatization	lemmatization	NOUN
cana-731	164	43	and	and	CCONJ
cana-731	164	44	stemming	stem	VERB
cana-731	164	45	b.	b.	NOUN
cana-731	164	46	performance	performance	NOUN
cana-731	164	47	metrics	metric	NOUN
cana-731	164	48	performance	performance	NOUN
cana-731	164	49	metrics	metric	NOUN
cana-731	164	50	provide	provide	VERB
cana-731	164	51	information	information	NOUN
cana-731	164	52	about	about	ADP
cana-731	164	53	the	the	DET
cana-731	164	54	dataset	dataset	NOUN
cana-731	164	55	's	's	PART
cana-731	164	56	performance	performance	NOUN
cana-731	164	57	.	.	PUNCT
cana-731	165	1	the	the	DET
cana-731	165	2	evaluation	evaluation	NOUN
cana-731	165	3	criteria	criterion	NOUN
cana-731	165	4	used	use	VERB
cana-731	165	5	to	to	PART
cana-731	165	6	evaluate	evaluate	VERB
cana-731	165	7	the	the	DET
cana-731	165	8	suggested	suggest	VERB
cana-731	165	9	scheme	scheme	NOUN
cana-731	165	10	's	's	PART
cana-731	165	11	presentation	presentation	NOUN
cana-731	165	12	are	be	AUX
cana-731	165	13	precision	precision	NOUN
cana-731	165	14	,	,	PUNCT
cana-731	165	15	recall	recall	NOUN
cana-731	165	16	,	,	PUNCT
cana-731	165	17	f	f	NOUN
cana-731	165	18	-	-	PUNCT
cana-731	165	19	measure	measure	NOUN
cana-731	165	20	and	and	CCONJ
cana-731	165	21	accuracy	accuracy	NOUN
cana-731	165	22	.	.	PUNCT
cana-731	166	1	here	here	ADV
cana-731	166	2	,	,	PUNCT
cana-731	166	3	conventional	conventional	ADJ
cana-731	166	4	count	count	NOUN
cana-731	166	5	values	value	NOUN
cana-731	166	6	are	be	AUX
cana-731	166	7	taken	take	VERB
cana-731	166	8	advantage	advantage	NOUN
cana-731	166	9	of	of	ADP
cana-731	166	10	,	,	PUNCT
cana-731	166	11	including	include	VERB
cana-731	166	12	true	true	ADJ
cana-731	166	13	positive	positive	ADJ
cana-731	166	14	(	(	PUNCT
cana-731	166	15	tp	tp	NOUN
cana-731	166	16	)	)	PUNCT
cana-731	166	17	,	,	PUNCT
cana-731	166	18	true	true	ADJ
cana-731	166	19	negative	negative	ADJ
cana-731	166	20	(	(	PUNCT
cana-731	166	21	tn	tn	NOUN
cana-731	166	22	)	)	PUNCT
cana-731	166	23	,	,	PUNCT
cana-731	166	24	false	false	ADJ
cana-731	166	25	positive	positive	ADJ
cana-731	166	26	(	(	PUNCT
cana-731	166	27	fp	fp	NOUN
cana-731	166	28	)	)	PUNCT
cana-731	166	29	,	,	PUNCT
cana-731	166	30	and	and	CCONJ
cana-731	166	31	false	false	ADJ
cana-731	166	32	negative	negative	ADJ
cana-731	166	33	(	(	PUNCT
cana-731	166	34	fn	fn	NOUN
cana-731	166	35	)	)	PUNCT
cana-731	166	36	.	.	PUNCT
cana-731	167	1	these	these	DET
cana-731	167	2	estimations	estimation	NOUN
cana-731	167	3	are	be	AUX
cana-731	167	4	unequivocally	unequivocally	ADV
cana-731	167	5	taken	take	VERB
cana-731	167	6	to	to	PART
cana-731	167	7	decide	decide	VERB
cana-731	167	8	the	the	DET
cana-731	167	9	calculations	calculation	NOUN
cana-731	167	10	'	'	PART
cana-731	167	11	presentation	presentation	NOUN
cana-731	167	12	in	in	ADP
cana-731	167	13	light	light	NOUN
cana-731	167	14	of	of	ADP
cana-731	167	15	the	the	DET
cana-731	167	16	assessment	assessment	NOUN
cana-731	167	17	of	of	ADP
cana-731	167	18	the	the	DET
cana-731	167	19	informational	informational	ADJ
cana-731	167	20	index	index	NOUN
cana-731	167	21	chose	choose	VERB
cana-731	167	22	for	for	ADP
cana-731	167	23	the	the	DET
cana-731	167	24	review	review	NOUN
cana-731	167	25	.	.	PUNCT
cana-731	168	1	c.	c.	NOUN
cana-731	168	2	results	result	NOUN
cana-731	168	3	and	and	CCONJ
cana-731	168	4	discussions	discussion	NOUN
cana-731	168	5	this	this	DET
cana-731	168	6	part	part	NOUN
cana-731	168	7	gives	give	VERB
cana-731	168	8	a	a	DET
cana-731	168	9	full	full	ADJ
cana-731	168	10	report	report	NOUN
cana-731	168	11	on	on	ADP
cana-731	168	12	the	the	DET
cana-731	168	13	results	result	NOUN
cana-731	168	14	of	of	ADP
cana-731	168	15	the	the	DET
cana-731	168	16	cyberbullying	cyberbullye	VERB
cana-731	168	17	calculations	calculation	NOUN
cana-731	168	18	,	,	PUNCT
cana-731	168	19	which	which	PRON
cana-731	168	20	are	be	AUX
cana-731	168	21	implicit	implicit	ADJ
cana-731	168	22	the	the	DET
cana-731	168	23	python	python	NOUN
cana-731	168	24	scripting	scripting	NOUN
cana-731	168	25	language	language	NOUN
cana-731	168	26	.	.	PUNCT
cana-731	169	1	the	the	DET
cana-731	169	2	calculations	calculation	NOUN
cana-731	169	3	incorporate	incorporate	VERB
cana-731	169	4	dnn	dnn	PROPN
cana-731	169	5	,	,	PUNCT
cana-731	169	6	ann	ann	PROPN
cana-731	169	7	,	,	PUNCT
cana-731	169	8	rbfn	rbfn	NOUN
cana-731	169	9	.	.	PUNCT
cana-731	170	1	all	all	DET
cana-731	170	2	the	the	DET
cana-731	170	3	calculation	calculation	NOUN
cana-731	170	4	viability	viability	NOUN
cana-731	170	5	is	be	AUX
cana-731	170	6	assessed	assess	VERB
cana-731	170	7	utilizing	utilize	VERB
cana-731	170	8	f	f	NOUN
cana-731	170	9	-	-	PUNCT
cana-731	170	10	measure	measure	NOUN
cana-731	170	11	,	,	PUNCT
cana-731	170	12	exactness	exactness	NOUN
cana-731	170	13	,	,	PUNCT
cana-731	170	14	accuracy	accuracy	NOUN
cana-731	170	15	,	,	PUNCT
cana-731	170	16	and	and	CCONJ
cana-731	170	17	review	review	NOUN
cana-731	170	18	.	.	PUNCT
cana-731	171	1	the	the	DET
cana-731	171	2	figure	figure	NOUN
cana-731	171	3	8	8	NUM
cana-731	171	4	shows	show	VERB
cana-731	171	5	the	the	DET
cana-731	171	6	extent	extent	NOUN
cana-731	171	7	of	of	ADP
cana-731	171	8	accuracy	accuracy	NOUN
cana-731	171	9	,	,	PUNCT
cana-731	171	10	review	review	NOUN
cana-731	171	11	and	and	CCONJ
cana-731	171	12	f	f	X
cana-731	171	13	-	-	PUNCT
cana-731	171	14	measure	measure	NOUN
cana-731	171	15	for	for	ADP
cana-731	171	16	every	every	DET
cana-731	171	17	one	one	NUM
cana-731	171	18	of	of	ADP
cana-731	171	19	the	the	DET
cana-731	171	20	three	three	NUM
cana-731	171	21	techniques	technique	NOUN
cana-731	171	22	.	.	PUNCT
cana-731	172	1	figure	figure	NOUN
cana-731	172	2	7	7	NUM
cana-731	172	3	shows	show	VERB
cana-731	172	4	the	the	DET
cana-731	172	5	consequences	consequence	NOUN
cana-731	172	6	of	of	ADP
cana-731	172	7	the	the	DET
cana-731	172	8	exhibition	exhibition	NOUN
cana-731	172	9	investigation	investigation	NOUN
cana-731	172	10	of	of	ADP
cana-731	172	11	each	each	PRON
cana-731	172	12	of	of	ADP
cana-731	172	13	the	the	DET
cana-731	172	14	three	three	NUM
cana-731	172	15	calculations	calculation	NOUN
cana-731	172	16	before	before	ADP
cana-731	172	17	information	information	NOUN
cana-731	172	18	pre	pre	ADJ
cana-731	172	19	-	-	NOUN
cana-731	172	20	handling	handling	NOUN
cana-731	172	21	.	.	PUNCT
cana-731	173	1	the	the	DET
cana-731	173	2	dnn	dnn	PROPN
cana-731	173	3	calculation	calculation	NOUN
cana-731	173	4	accomplishes	accomplish	VERB
cana-731	173	5	the	the	DET
cana-731	173	6	most	most	ADV
cana-731	173	7	noteworthy	noteworthy	ADJ
cana-731	173	8	accuracy	accuracy	NOUN
cana-731	173	9	(	(	PUNCT
cana-731	173	10	84.80	84.80	NUM
cana-731	173	11	%	%	NOUN
cana-731	173	12	)	)	PUNCT
cana-731	173	13	,	,	PUNCT
cana-731	173	14	review	review	NOUN
cana-731	173	15	(	(	PUNCT
cana-731	173	16	82.24	82.24	NUM
cana-731	173	17	%	%	NOUN
cana-731	173	18	)	)	PUNCT
cana-731	173	19	,	,	PUNCT
cana-731	173	20	and	and	CCONJ
cana-731	173	21	f	f	X
cana-731	173	22	-	-	PUNCT
cana-731	173	23	measure	measure	NOUN
cana-731	173	24	(	(	PUNCT
cana-731	173	25	83.01	83.01	NUM
cana-731	173	26	%	%	NOUN
cana-731	173	27	)	)	PUNCT
cana-731	173	28	values	value	NOUN
cana-731	173	29	.	.	PUNCT
cana-731	174	1	the	the	DET
cana-731	174	2	accuracy	accuracy	NOUN
cana-731	174	3	communications	communication	NOUN
cana-731	174	4	on	on	ADP
cana-731	174	5	applied	apply	VERB
cana-731	174	6	nonlinear	nonlinear	ADJ
cana-731	174	7	analysis	analysis	NOUN
cana-731	174	8	issn	issn	NOUN
cana-731	174	9	:	:	PUNCT
cana-731	174	10	1074	1074	NUM
cana-731	174	11	-	-	PUNCT
cana-731	174	12	133x	133x	NUM
cana-731	174	13	vol	vol	NOUN
cana-731	174	14	31	31	NUM
cana-731	174	15	no	no	NOUN
cana-731	174	16	.	.	PUNCT
cana-731	175	1	3s	3s	NUM
cana-731	175	2	(	(	PUNCT
cana-731	175	3	2024	2024	NUM
cana-731	175	4	)	)	PUNCT
cana-731	175	5	70	70	NUM
cana-731	175	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	175	7	worth	worth	NOUN
cana-731	175	8	of	of	ADP
cana-731	175	9	80.29	80.29	NUM
cana-731	175	10	%	%	NOUN
cana-731	175	11	,	,	PUNCT
cana-731	175	12	review	review	VERB
cana-731	175	13	worth	worth	ADJ
cana-731	175	14	of	of	ADP
cana-731	175	15	81.30	81.30	NUM
cana-731	175	16	%	%	NOUN
cana-731	175	17	,	,	PUNCT
cana-731	175	18	and	and	CCONJ
cana-731	175	19	f	f	X
cana-731	175	20	-	-	PUNCT
cana-731	175	21	measure	measure	NOUN
cana-731	175	22	worth	worth	NOUN
cana-731	175	23	of	of	ADP
cana-731	175	24	81.25	81.25	NUM
cana-731	175	25	%	%	NOUN
cana-731	175	26	are	be	AUX
cana-731	175	27	accomplished	accomplish	VERB
cana-731	175	28	utilizing	utilize	VERB
cana-731	175	29	dnn	dnn	PROPN
cana-731	175	30	.	.	PUNCT
cana-731	176	1	the	the	DET
cana-731	176	2	ann	ann	PROPN
cana-731	176	3	calculation	calculation	NOUN
cana-731	176	4	is	be	AUX
cana-731	176	5	accomplished	accomplish	VERB
cana-731	176	6	with	with	ADP
cana-731	176	7	accuracy	accuracy	NOUN
cana-731	176	8	of	of	ADP
cana-731	176	9	81.58	81.58	NUM
cana-731	176	10	%	%	NOUN
cana-731	176	11	,	,	PUNCT
cana-731	176	12	review	review	NOUN
cana-731	176	13	of	of	ADP
cana-731	176	14	80.37	80.37	NUM
cana-731	176	15	%	%	NOUN
cana-731	176	16	,	,	PUNCT
cana-731	176	17	and	and	CCONJ
cana-731	176	18	f	f	X
cana-731	176	19	-	-	PUNCT
cana-731	176	20	proportion	proportion	NOUN
cana-731	176	21	of	of	ADP
cana-731	176	22	82.29	82.29	NUM
cana-731	176	23	%	%	NOUN
cana-731	176	24	.	.	PUNCT
cana-731	177	1	figure	figure	VERB
cana-731	177	2	7	7	NUM
cana-731	177	3	:	:	PUNCT
cana-731	177	4	performance	performance	NOUN
cana-731	177	5	analysis	analysis	NOUN
cana-731	177	6	of	of	ADP
cana-731	177	7	algorithm	algorithm	NOUN
cana-731	177	8	before	before	ADP
cana-731	177	9	preprocessing	preprocesse	VERB
cana-731	177	10	as	as	SCONJ
cana-731	177	11	demonstrated	demonstrate	VERB
cana-731	177	12	in	in	ADP
cana-731	177	13	figure	figure	NOUN
cana-731	177	14	7	7	NUM
cana-731	177	15	,	,	PUNCT
cana-731	177	16	the	the	DET
cana-731	177	17	accuracy	accuracy	NOUN
cana-731	177	18	of	of	ADP
cana-731	177	19	the	the	DET
cana-731	177	20	comparison	comparison	NOUN
cana-731	177	21	measure	measure	NOUN
cana-731	177	22	is	be	AUX
cana-731	177	23	assessed	assess	VERB
cana-731	177	24	using	use	VERB
cana-731	177	25	methods	method	NOUN
cana-731	177	26	that	that	PRON
cana-731	177	27	are	be	AUX
cana-731	177	28	currently	currently	ADV
cana-731	177	29	available	available	ADJ
cana-731	177	30	and	and	CCONJ
cana-731	177	31	advised	advise	VERB
cana-731	177	32	.	.	PUNCT
cana-731	178	1	the	the	DET
cana-731	178	2	algorithm	algorithm	NOUN
cana-731	178	3	is	be	AUX
cana-731	178	4	shown	show	VERB
cana-731	178	5	on	on	ADP
cana-731	178	6	the	the	DET
cana-731	178	7	x	x	NOUN
cana-731	178	8	-	-	NOUN
cana-731	178	9	axis	axis	ADJ
cana-731	178	10	,	,	PUNCT
cana-731	178	11	while	while	SCONJ
cana-731	178	12	the	the	DET
cana-731	178	13	accuracy	accuracy	NOUN
cana-731	178	14	numbers	number	NOUN
cana-731	178	15	are	be	AUX
cana-731	178	16	shown	show	VERB
cana-731	178	17	on	on	ADP
cana-731	178	18	the	the	DET
cana-731	178	19	y	y	NOUN
cana-731	178	20	-	-	PUNCT
cana-731	178	21	axis	axis	NOUN
cana-731	179	1	.	.	PUNCT
cana-731	179	2	table	table	NOUN
cana-731	179	3	2	2	NUM
cana-731	179	4	:	:	PUNCT
cana-731	179	5	performance	performance	NOUN
cana-731	179	6	analysis	analysis	NOUN
cana-731	179	7	of	of	ADP
cana-731	179	8	algorithm	algorithm	NOUN
cana-731	179	9	algorithms	algorithms	NOUN
cana-731	179	10	accuracy	accuracy	NOUN
cana-731	179	11	precision	precision	NOUN
cana-731	179	12	recall	recall	PROPN
cana-731	179	13	fmeasure	fmeasure	PROPN
cana-731	179	14	dnn	dnn	PROPN
cana-731	179	15	86.25	86.25	NUM
cana-731	179	16	83.80952	83.80952	NUM
cana-731	179	17	82.24299	82.24299	NUM
cana-731	179	18	83.01887	83.01887	NUM
cana-731	180	1	ann	ann	PROPN
cana-731	180	2	82.25	82.25	NUM
cana-731	180	3	80.29412	80.29412	NUM
cana-731	180	4	81.30841	81.30841	NUM
cana-731	180	5	81.25359	81.25359	NUM
cana-731	180	6	rbfn	rbfn	NOUN
cana-731	180	7	84.76	84.76	NUM
cana-731	180	8	81.58333	81.58333	NUM
cana-731	180	9	80.37383	80.37383	NUM
cana-731	180	10	82.29064	82.29064	NUM
cana-731	180	11	the	the	DET
cana-731	180	12	results	result	NOUN
cana-731	180	13	demonstrate	demonstrate	VERB
cana-731	180	14	that	that	SCONJ
cana-731	180	15	,	,	PUNCT
cana-731	180	16	in	in	ADP
cana-731	180	17	comparison	comparison	NOUN
cana-731	180	18	to	to	ADP
cana-731	180	19	the	the	DET
cana-731	180	20	other	other	ADJ
cana-731	180	21	two	two	NUM
cana-731	180	22	available	available	ADJ
cana-731	180	23	approaches	approach	NOUN
cana-731	180	24	,	,	PUNCT
cana-731	180	25	the	the	DET
cana-731	180	26	dnn	dnn	PROPN
cana-731	180	27	performs	perform	VERB
cana-731	180	28	better	well	ADV
cana-731	180	29	.	.	PUNCT
cana-731	181	1	the	the	DET
cana-731	181	2	performance	performance	NOUN
cana-731	181	3	analysis	analysis	NOUN
cana-731	181	4	is	be	AUX
cana-731	181	5	displayed	display	VERB
cana-731	181	6	in	in	ADP
cana-731	181	7	table	table	NOUN
cana-731	181	8	2	2	NUM
cana-731	181	9	.	.	PUNCT
cana-731	181	10	figure	figure	NOUN
cana-731	181	11	8	8	NUM
cana-731	181	12	shows	show	VERB
cana-731	181	13	the	the	DET
cana-731	181	14	consequences	consequence	NOUN
cana-731	181	15	of	of	ADP
cana-731	181	16	the	the	DET
cana-731	181	17	exhibition	exhibition	NOUN
cana-731	181	18	investigation	investigation	NOUN
cana-731	181	19	of	of	ADP
cana-731	181	20	each	each	PRON
cana-731	181	21	of	of	ADP
cana-731	181	22	the	the	DET
cana-731	181	23	three	three	NUM
cana-731	181	24	calculations	calculation	NOUN
cana-731	181	25	after	after	ADP
cana-731	181	26	information	information	NOUN
cana-731	181	27	pre	pre	ADJ
cana-731	181	28	-	-	NOUN
cana-731	181	29	handling	handling	NOUN
cana-731	181	30	.	.	PUNCT
cana-731	182	1	the	the	DET
cana-731	182	2	dnn	dnn	PROPN
cana-731	182	3	calculation	calculation	NOUN
cana-731	182	4	accomplishes	accomplish	VERB
cana-731	182	5	the	the	DET
cana-731	182	6	most	most	ADV
cana-731	182	7	elevated	elevated	ADJ
cana-731	182	8	accuracy	accuracy	NOUN
cana-731	182	9	(	(	PUNCT
cana-731	182	10	85.80	85.80	NUM
cana-731	182	11	%	%	NOUN
cana-731	182	12	)	)	PUNCT
cana-731	182	13	,	,	PUNCT
cana-731	182	14	review	review	NOUN
cana-731	182	15	(	(	PUNCT
cana-731	182	16	83.24	83.24	NUM
cana-731	182	17	%	%	NOUN
cana-731	182	18	)	)	PUNCT
cana-731	182	19	,	,	PUNCT
cana-731	182	20	and	and	CCONJ
cana-731	182	21	f	f	X
cana-731	182	22	-	-	PUNCT
cana-731	182	23	measure	measure	NOUN
cana-731	182	24	(	(	PUNCT
cana-731	182	25	83.24	83.24	NUM
cana-731	182	26	%	%	NOUN
cana-731	182	27	)	)	PUNCT
cana-731	182	28	values	value	NOUN
cana-731	182	29	.	.	PUNCT
cana-731	183	1	the	the	DET
cana-731	183	2	accuracy	accuracy	NOUN
cana-731	183	3	worth	worth	ADJ
cana-731	183	4	of	of	ADP
cana-731	183	5	81.29	81.29	NUM
cana-731	183	6	%	%	NOUN
cana-731	183	7	,	,	PUNCT
cana-731	183	8	review	review	VERB
cana-731	183	9	worth	worth	ADJ
cana-731	183	10	of	of	ADP
cana-731	183	11	82.30	82.30	NUM
cana-731	183	12	%	%	NOUN
cana-731	183	13	,	,	PUNCT
cana-731	183	14	and	and	CCONJ
cana-731	183	15	f	f	X
cana-731	183	16	-	-	PUNCT
cana-731	183	17	measure	measure	NOUN
cana-731	183	18	worth	worth	NOUN
cana-731	183	19	of	of	ADP
cana-731	183	20	80.25	80.25	NUM
cana-731	183	21	%	%	NOUN
cana-731	183	22	are	be	AUX
cana-731	183	23	accomplished	accomplish	VERB
cana-731	183	24	utilizing	utilize	VERB
cana-731	183	25	dnn	dnn	PROPN
cana-731	183	26	.	.	PUNCT
cana-731	184	1	the	the	DET
cana-731	184	2	ann	ann	PROPN
cana-731	184	3	calculation	calculation	NOUN
cana-731	184	4	is	be	AUX
cana-731	184	5	accomplished	accomplish	VERB
cana-731	184	6	with	with	ADP
cana-731	184	7	accuracy	accuracy	NOUN
cana-731	184	8	of	of	ADP
cana-731	184	9	84.83	84.83	NUM
cana-731	184	10	%	%	NOUN
cana-731	184	11	,	,	PUNCT
cana-731	184	12	review	review	NOUN
cana-731	184	13	of	of	ADP
cana-731	184	14	82.37	82.37	NUM
cana-731	184	15	%	%	NOUN
cana-731	184	16	,	,	PUNCT
cana-731	184	17	and	and	CCONJ
cana-731	184	18	f	f	X
cana-731	184	19	-	-	PUNCT
cana-731	184	20	proportion	proportion	NOUN
cana-731	184	21	of	of	ADP
cana-731	184	22	81.29	81.29	NUM
cana-731	184	23	%	%	NOUN
cana-731	184	24	.	.	PUNCT
cana-731	185	1	0.74	0.74	NUM
cana-731	185	2	0.76	0.76	NUM
cana-731	185	3	0.78	0.78	NUM
cana-731	185	4	0.8	0.8	NUM
cana-731	185	5	0.82	0.82	NUM
cana-731	185	6	0.84	0.84	NUM
cana-731	185	7	0.86	0.86	NUM
cana-731	185	8	0.88	0.88	NUM
cana-731	185	9	0.9	0.9	NUM
cana-731	185	10	dnn	dnn	PROPN
cana-731	185	11	ann	ann	PROPN
cana-731	185	12	rbfn	rbfn	PROPN
cana-731	185	13	p	p	PROPN
cana-731	186	1	er	er	INTJ
cana-731	186	2	c	c	X
cana-731	186	3	en	en	X
cana-731	186	4	ta	ta	PROPN
cana-731	186	5	g	g	PROPN
cana-731	186	6	e	e	PROPN
cana-731	186	7	alogrithms	alogrithm	NOUN
cana-731	186	8	performance	performance	NOUN
cana-731	186	9	analysis	analysis	NOUN
cana-731	186	10	accuracy	accuracy	NOUN
cana-731	186	11	precision	precision	NOUN
cana-731	186	12	recall	recall	VERB
cana-731	186	13	f1	f1	NOUN
cana-731	186	14	-	-	PUNCT
cana-731	186	15	score	score	NOUN
cana-731	186	16	communications	communication	NOUN
cana-731	186	17	on	on	ADP
cana-731	186	18	applied	apply	VERB
cana-731	186	19	nonlinear	nonlinear	ADJ
cana-731	186	20	analysis	analysis	NOUN
cana-731	186	21	issn	issn	NOUN
cana-731	186	22	:	:	PUNCT
cana-731	186	23	1074	1074	NUM
cana-731	186	24	-	-	PUNCT
cana-731	186	25	133x	133x	NUM
cana-731	186	26	vol	vol	NOUN
cana-731	186	27	31	31	NUM
cana-731	186	28	no	no	NOUN
cana-731	186	29	.	.	PUNCT
cana-731	187	1	3s	3s	NUM
cana-731	187	2	(	(	PUNCT
cana-731	187	3	2024	2024	NUM
cana-731	187	4	)	)	PUNCT
cana-731	187	5	71	71	NUM
cana-731	187	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	187	7	figure	figure	NOUN
cana-731	187	8	9	9	NUM
cana-731	187	9	:	:	PUNCT
cana-731	187	10	performance	performance	NOUN
cana-731	187	11	analysis	analysis	NOUN
cana-731	187	12	of	of	ADP
cana-731	187	13	algorithm	algorithm	NOUN
cana-731	187	14	after	after	ADP
cana-731	187	15	preprocessing	preprocesse	VERB
cana-731	187	16	as	as	SCONJ
cana-731	187	17	demonstrated	demonstrate	VERB
cana-731	187	18	in	in	ADP
cana-731	187	19	figure	figure	NOUN
cana-731	187	20	9	9	NUM
cana-731	187	21	,	,	PUNCT
cana-731	187	22	the	the	DET
cana-731	187	23	accuracy	accuracy	NOUN
cana-731	187	24	of	of	ADP
cana-731	187	25	the	the	DET
cana-731	187	26	comparison	comparison	NOUN
cana-731	187	27	measure	measure	NOUN
cana-731	187	28	is	be	AUX
cana-731	187	29	assessed	assess	VERB
cana-731	187	30	using	use	VERB
cana-731	187	31	methods	method	NOUN
cana-731	187	32	that	that	PRON
cana-731	187	33	are	be	AUX
cana-731	187	34	currently	currently	ADV
cana-731	187	35	available	available	ADJ
cana-731	187	36	and	and	CCONJ
cana-731	187	37	advised	advise	VERB
cana-731	187	38	.	.	PUNCT
cana-731	188	1	the	the	DET
cana-731	188	2	algorithm	algorithm	NOUN
cana-731	188	3	is	be	AUX
cana-731	188	4	shown	show	VERB
cana-731	188	5	on	on	ADP
cana-731	188	6	the	the	DET
cana-731	188	7	x	x	NOUN
cana-731	188	8	-	-	NOUN
cana-731	188	9	axis	axis	ADJ
cana-731	188	10	,	,	PUNCT
cana-731	188	11	while	while	SCONJ
cana-731	188	12	the	the	DET
cana-731	188	13	accuracy	accuracy	NOUN
cana-731	188	14	numbers	number	NOUN
cana-731	188	15	are	be	AUX
cana-731	188	16	shown	show	VERB
cana-731	188	17	on	on	ADP
cana-731	188	18	the	the	DET
cana-731	188	19	y	y	NOUN
cana-731	188	20	-	-	PUNCT
cana-731	188	21	axis	axis	NOUN
cana-731	188	22	.	.	PUNCT
cana-731	189	1	table	table	NOUN
cana-731	189	2	3	3	NUM
cana-731	189	3	:	:	PUNCT
cana-731	189	4	performance	performance	NOUN
cana-731	189	5	analysis	analysis	NOUN
cana-731	189	6	of	of	ADP
cana-731	189	7	algorithm	algorithm	NOUN
cana-731	189	8	algorithms	algorithms	NOUN
cana-731	189	9	accuracy	accuracy	NOUN
cana-731	189	10	precision	precision	NOUN
cana-731	189	11	recall	recall	PROPN
cana-731	189	12	fmeasure	fmeasure	PROPN
cana-731	189	13	dnn	dnn	PROPN
cana-731	189	14	89.80	89.80	NUM
cana-731	189	15	85.80952	85.80952	NUM
cana-731	189	16	83.24299	83.24299	NUM
cana-731	189	17	84.01887	84.01887	NUM
cana-731	189	18	ann	ann	PROPN
cana-731	189	19	83.67	83.67	NUM
cana-731	189	20	81.29412	81.29412	NUM
cana-731	189	21	82.30841	82.30841	NUM
cana-731	189	22	80.25359	80.25359	NUM
cana-731	189	23	rbfn	rbfn	NOUN
cana-731	189	24	86.12	86.12	NUM
cana-731	189	25	84.83333	84.83333	NUM
cana-731	189	26	82.37383	82.37383	NUM
cana-731	189	27	81.29064	81.29064	NUM
cana-731	189	28	the	the	DET
cana-731	189	29	results	result	NOUN
cana-731	189	30	demonstrate	demonstrate	VERB
cana-731	189	31	that	that	SCONJ
cana-731	189	32	,	,	PUNCT
cana-731	189	33	in	in	ADP
cana-731	189	34	comparison	comparison	NOUN
cana-731	189	35	to	to	ADP
cana-731	189	36	the	the	DET
cana-731	189	37	other	other	ADJ
cana-731	189	38	two	two	NUM
cana-731	189	39	available	available	ADJ
cana-731	189	40	approaches	approach	NOUN
cana-731	189	41	,	,	PUNCT
cana-731	189	42	the	the	DET
cana-731	189	43	dnn	dnn	PROPN
cana-731	189	44	performs	perform	VERB
cana-731	189	45	better	well	ADV
cana-731	189	46	.	.	PUNCT
cana-731	190	1	the	the	DET
cana-731	190	2	performance	performance	NOUN
cana-731	190	3	analysis	analysis	NOUN
cana-731	190	4	is	be	AUX
cana-731	190	5	displayed	display	VERB
cana-731	190	6	in	in	ADP
cana-731	190	7	table	table	NOUN
cana-731	190	8	3	3	NUM
cana-731	190	9	.	.	X
cana-731	190	10	vi	vi	PROPN
cana-731	190	11	.	.	NOUN
cana-731	191	1	conclusion	conclusion	NOUN
cana-731	191	2	it	it	PRON
cana-731	191	3	was	be	AUX
cana-731	191	4	observed	observe	VERB
cana-731	191	5	that	that	SCONJ
cana-731	191	6	the	the	DET
cana-731	191	7	most	most	ADV
cana-731	191	8	investigated	investigated	ADJ
cana-731	191	9	subject	subject	NOUN
cana-731	191	10	in	in	ADP
cana-731	191	11	the	the	DET
cana-731	191	12	climate	climate	NOUN
cana-731	191	13	of	of	ADP
cana-731	191	14	online	online	ADJ
cana-731	191	15	entertainment	entertainment	NOUN
cana-731	191	16	was	be	AUX
cana-731	191	17	the	the	DET
cana-731	191	18	i	i	PROPN
cana-731	191	19	d	d	PROPN
cana-731	191	20	of	of	ADP
cana-731	191	21	cyberbullying	cyberbullye	VERB
cana-731	191	22	.	.	PUNCT
cana-731	192	1	making	make	VERB
cana-731	192	2	a	a	DET
cana-731	192	3	framework	framework	NOUN
cana-731	192	4	to	to	PART
cana-731	192	5	recognize	recognize	VERB
cana-731	192	6	cyberbullying	cyberbullye	VERB
cana-731	192	7	is	be	AUX
cana-731	192	8	fundamental	fundamental	ADJ
cana-731	192	9	for	for	ADP
cana-731	192	10	safeguarding	safeguard	VERB
cana-731	192	11	individuals	individual	NOUN
cana-731	192	12	from	from	ADP
cana-731	192	13	provocation	provocation	NOUN
cana-731	192	14	and	and	CCONJ
cana-731	192	15	guaranteeing	guarantee	VERB
cana-731	192	16	wellbeing	wellbee	VERB
cana-731	192	17	.	.	PUNCT
cana-731	193	1	in	in	ADP
cana-731	193	2	this	this	DET
cana-731	193	3	work	work	NOUN
cana-731	193	4	,	,	PUNCT
cana-731	193	5	the	the	DET
cana-731	193	6	dnn	dnn	PROPN
cana-731	193	7	is	be	AUX
cana-731	193	8	utilized	utilize	VERB
cana-731	193	9	to	to	PART
cana-731	193	10	accomplish	accomplish	VERB
cana-731	193	11	this	this	PRON
cana-731	193	12	.	.	PUNCT
cana-731	194	1	in	in	ADP
cana-731	194	2	this	this	DET
cana-731	194	3	examination	examination	NOUN
cana-731	194	4	exertion	exertion	NOUN
cana-731	194	5	,	,	PUNCT
cana-731	194	6	the	the	DET
cana-731	194	7	accentuation	accentuation	NOUN
cana-731	194	8	,	,	PUNCT
cana-731	194	9	urls	url	NOUN
cana-731	194	10	,	,	PUNCT
cana-731	194	11	html	html	NOUN
cana-731	194	12	labels	label	NOUN
cana-731	194	13	,	,	PUNCT
cana-731	194	14	and	and	CCONJ
cana-731	194	15	feelings	feeling	NOUN
cana-731	194	16	from	from	ADP
cana-731	194	17	the	the	DET
cana-731	194	18	info	info	NOUN
cana-731	194	19	tweet	tweet	NOUN
cana-731	194	20	messages	message	NOUN
cana-731	194	21	are	be	AUX
cana-731	194	22	dispensed	dispense	VERB
cana-731	194	23	with	with	ADP
cana-731	194	24	first	first	ADJ
cana-731	194	25	.	.	PUNCT
cana-731	195	1	preprocessing	preprocessing	NOUN
cana-731	195	2	is	be	AUX
cana-731	195	3	followed	follow	VERB
cana-731	195	4	by	by	ADP
cana-731	195	5	sentiment	sentiment	NOUN
cana-731	195	6	feature	feature	NOUN
cana-731	195	7	extraction	extraction	NOUN
cana-731	195	8	to	to	PART
cana-731	195	9	increase	increase	VERB
cana-731	195	10	classification	classification	NOUN
cana-731	195	11	accuracy	accuracy	NOUN
cana-731	195	12	.	.	PUNCT
cana-731	196	1	the	the	DET
cana-731	196	2	study	study	NOUN
cana-731	196	3	's	's	PART
cana-731	196	4	test	test	NOUN
cana-731	196	5	results	result	NOUN
cana-731	196	6	demonstrate	demonstrate	VERB
cana-731	196	7	the	the	DET
cana-731	196	8	effectiveness	effectiveness	NOUN
cana-731	196	9	of	of	ADP
cana-731	196	10	the	the	DET
cana-731	196	11	recommended	recommend	VERB
cana-731	196	12	strategy	strategy	NOUN
cana-731	196	13	.	.	PUNCT
cana-731	197	1	the	the	DET
cana-731	197	2	dnn	dnn	PROPN
cana-731	197	3	outperforms	outperform	VERB
cana-731	197	4	in	in	ADP
cana-731	197	5	terms	term	NOUN
cana-731	197	6	of	of	ADP
cana-731	197	7	classification	classification	NOUN
cana-731	197	8	performance	performance	NOUN
cana-731	197	9	when	when	SCONJ
cana-731	197	10	it	it	PRON
cana-731	197	11	comes	come	VERB
cana-731	197	12	to	to	PART
cana-731	197	13	decreased	decrease	VERB
cana-731	197	14	better	well	ADJ
cana-731	197	15	precision	precision	NOUN
cana-731	197	16	,	,	PUNCT
cana-731	197	17	recall	recall	NOUN
cana-731	197	18	,	,	PUNCT
cana-731	197	19	fmeasure	fmeasure	NOUN
cana-731	197	20	,	,	PUNCT
cana-731	197	21	and	and	CCONJ
cana-731	197	22	accuracy	accuracy	NOUN
cana-731	197	23	.	.	PUNCT
cana-731	198	1	references	reference	NOUN
cana-731	198	2	[	[	X
cana-731	198	3	1	1	NUM
cana-731	198	4	]	]	X
cana-731	198	5	nowland	nowland	NOUN
cana-731	198	6	,	,	PUNCT
cana-731	198	7	r.	r.	PROPN
cana-731	198	8	,	,	PUNCT
cana-731	198	9	necka	necka	PROPN
cana-731	198	10	,	,	PUNCT
cana-731	198	11	e.	e.	PROPN
cana-731	198	12	a.	a.	PROPN
cana-731	198	13	,	,	PUNCT
cana-731	198	14	&	&	CCONJ
cana-731	198	15	cacioppo	cacioppo	PROPN
cana-731	198	16	,	,	PUNCT
cana-731	198	17	j.	j.	PROPN
cana-731	198	18	t.	t.	PROPN
cana-731	198	19	,“loneliness	,“loneliness	PUNCT
cana-731	198	20	and	and	CCONJ
cana-731	198	21	social	social	ADJ
cana-731	198	22	internet	internet	NOUN
cana-731	198	23	use	use	NOUN
cana-731	198	24	:	:	PUNCT
cana-731	198	25	pathways	pathway	NOUN
cana-731	198	26	to	to	PART
cana-731	198	27	reconnection	reconnection	VERB
cana-731	198	28	in	in	ADP
cana-731	198	29	a	a	DET
cana-731	198	30	digital	digital	ADJ
cana-731	198	31	world?”,perspectives	world?”,perspective	NOUN
cana-731	198	32	on	on	ADP
cana-731	198	33	psychological	psychological	ADJ
cana-731	198	34	science,13(1	science,13(1	PROPN
cana-731	198	35	)	)	PUNCT
cana-731	198	36	,	,	PUNCT
cana-731	198	37	70	70	NUM
cana-731	198	38	-	-	SYM
cana-731	198	39	87	87	NUM
cana-731	198	40	,	,	PUNCT
cana-731	198	41	2018	2018	NUM
cana-731	198	42	.	.	PUNCT
cana-731	199	1	0.74	0.74	NUM
cana-731	199	2	0.76	0.76	NUM
cana-731	199	3	0.78	0.78	NUM
cana-731	199	4	0.8	0.8	NUM
cana-731	199	5	0.82	0.82	NUM
cana-731	199	6	0.84	0.84	NUM
cana-731	199	7	0.86	0.86	NUM
cana-731	199	8	0.88	0.88	NUM
cana-731	199	9	0.9	0.9	NUM
cana-731	199	10	dnn	dnn	PROPN
cana-731	199	11	ann	ann	PROPN
cana-731	199	12	rbfn	rbfn	PROPN
cana-731	199	13	p	p	PROPN
cana-731	200	1	er	er	INTJ
cana-731	200	2	c	c	X
cana-731	200	3	en	en	X
cana-731	200	4	ta	ta	PROPN
cana-731	200	5	g	g	PROPN
cana-731	200	6	e	e	PROPN
cana-731	200	7	algorithms	algorithm	NOUN
cana-731	200	8	performance	performance	NOUN
cana-731	200	9	analysis	analysis	NOUN
cana-731	200	10	accuracy	accuracy	NOUN
cana-731	200	11	precision	precision	NOUN
cana-731	200	12	recall	recall	VERB
cana-731	200	13	f1	f1	NOUN
cana-731	200	14	-	-	PUNCT
cana-731	200	15	score	score	NOUN
cana-731	200	16	communications	communication	NOUN
cana-731	200	17	on	on	ADP
cana-731	200	18	applied	apply	VERB
cana-731	200	19	nonlinear	nonlinear	ADJ
cana-731	200	20	analysis	analysis	NOUN
cana-731	200	21	issn	issn	NOUN
cana-731	200	22	:	:	PUNCT
cana-731	200	23	1074	1074	NUM
cana-731	200	24	-	-	PUNCT
cana-731	200	25	133x	133x	NUM
cana-731	200	26	vol	vol	NOUN
cana-731	200	27	31	31	NUM
cana-731	200	28	no	no	NOUN
cana-731	200	29	.	.	PUNCT
cana-731	201	1	3s	3s	NUM
cana-731	201	2	(	(	PUNCT
cana-731	201	3	2024	2024	NUM
cana-731	201	4	)	)	PUNCT
cana-731	201	5	72	72	NUM
cana-731	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	202	1	[	[	X
cana-731	202	2	2	2	NUM
cana-731	202	3	]	]	X
cana-731	202	4	miller	miller	PROPN
cana-731	202	5	,	,	PUNCT
cana-731	202	6	d.	d.	PROPN
cana-731	202	7	,“social	,“social	PUNCT
cana-731	202	8	networking	network	VERB
cana-731	202	9	sites”,digital	sites”,digital	ADJ
cana-731	202	10	anthropology	anthropology	NOUN
cana-731	202	11	,	,	PUNCT
cana-731	202	12	pp	pp	ADP
cana-731	202	13	.	.	PUNCT
cana-731	203	1	146	146	NUM
cana-731	203	2	-	-	SYM
cana-731	203	3	161	161	NUM
cana-731	203	4	,	,	PUNCT
cana-731	203	5	2020	2020	NUM
cana-731	203	6	.	.	PUNCT
cana-731	204	1	[	[	X
cana-731	204	2	3	3	NUM
cana-731	204	3	]	]	X
cana-731	204	4	cao	cao	PROPN
cana-731	204	5	,	,	PUNCT
cana-731	204	6	x.	x.	PROPN
cana-731	204	7	,	,	PUNCT
cana-731	204	8	khan	khan	PROPN
cana-731	204	9	,	,	PUNCT
cana-731	204	10	a.	a.	PROPN
cana-731	204	11	n.	n.	PROPN
cana-731	204	12	,	,	PUNCT
cana-731	204	13	ali	ali	PROPN
cana-731	204	14	,	,	PUNCT
cana-731	204	15	a.	a.	PROPN
cana-731	204	16	,	,	PUNCT
cana-731	204	17	&	&	CCONJ
cana-731	204	18	khan	khan	PROPN
cana-731	204	19	,	,	PUNCT
cana-731	204	20	n.	n.	PROPN
cana-731	204	21	a.	a.	PROPN
cana-731	204	22	,	,	PUNCT
cana-731	204	23	“	"	PUNCT
cana-731	204	24	consequences	consequence	NOUN
cana-731	204	25	of	of	ADP
cana-731	204	26	cyberbullying	cyberbullye	VERB
cana-731	204	27	and	and	CCONJ
cana-731	204	28	social	social	ADJ
cana-731	204	29	overload	overload	NOUN
cana-731	204	30	while	while	SCONJ
cana-731	204	31	using	use	VERB
cana-731	204	32	snss	sns	NOUN
cana-731	204	33	:	:	PUNCT
cana-731	204	34	a	a	DET
cana-731	204	35	study	study	NOUN
cana-731	204	36	of	of	ADP
cana-731	204	37	users	user	NOUN
cana-731	204	38	’	'	PUNCT
cana-731	204	39	discontinuous	discontinuous	ADJ
cana-731	204	40	usage	usage	NOUN
cana-731	204	41	behavior	behavior	NOUN
cana-731	204	42	in	in	ADP
cana-731	204	43	snss”,information	snss”,information	NOUN
cana-731	204	44	systems	system	NOUN
cana-731	204	45	frontiers	frontier	NOUN
cana-731	204	46	,	,	PUNCT
cana-731	204	47	22(6	22(6	NUM
cana-731	204	48	)	)	PUNCT
cana-731	204	49	,	,	PUNCT
cana-731	204	50	pp	pp	ADP
cana-731	204	51	.	.	PUNCT
cana-731	205	1	13431356	13431356	NUM
cana-731	205	2	,	,	PUNCT
cana-731	205	3	2020	2020	NUM
cana-731	205	4	.	.	PUNCT
cana-731	206	1	[	[	X
cana-731	206	2	4	4	NUM
cana-731	206	3	]	]	X
cana-731	206	4	patchin	patchin	NOUN
cana-731	206	5	,	,	PUNCT
cana-731	206	6	j.	j.	PROPN
cana-731	206	7	w.	w.	PROPN
cana-731	206	8	,	,	PUNCT
cana-731	206	9	&	&	CCONJ
cana-731	206	10	hinduja	hinduja	PROPN
cana-731	206	11	,	,	PUNCT
cana-731	206	12	s.	s.	PROPN
cana-731	206	13	,	,	PUNCT
cana-731	206	14	“	"	PUNCT
cana-731	206	15	measuring	measure	VERB
cana-731	206	16	cyberbullying	cyberbullying	NOUN
cana-731	206	17	:	:	PUNCT
cana-731	206	18	implications	implication	NOUN
cana-731	206	19	for	for	ADP
cana-731	206	20	research”,aggression	research”,aggression	NOUN
cana-731	206	21	and	and	CCONJ
cana-731	206	22	violent	violent	ADJ
cana-731	206	23	,	,	PUNCT
cana-731	206	24	behavior23	behavior23	NOUN
cana-731	206	25	,	,	PUNCT
cana-731	206	26	pp	pp	X
cana-731	206	27	.	.	PUNCT
cana-731	206	28	69	69	NUM
cana-731	206	29	-	-	SYM
cana-731	206	30	74	74	NUM
cana-731	206	31	,	,	PUNCT
cana-731	206	32	2015	2015	NUM
cana-731	206	33	.	.	PUNCT
cana-731	207	1	[	[	X
cana-731	207	2	5	5	NUM
cana-731	207	3	]	]	PUNCT
cana-731	207	4	deschamps	deschamp	NOUN
cana-731	207	5	,	,	PUNCT
cana-731	207	6	r.	r.	PROPN
cana-731	207	7	,	,	PUNCT
cana-731	207	8	&	&	CCONJ
cana-731	207	9	mcnutt	mcnutt	PROPN
cana-731	207	10	,	,	PUNCT
cana-731	207	11	k.	k.	PROPN
cana-731	207	12	,	,	PUNCT
cana-731	207	13	“	"	PUNCT
cana-731	207	14	cyberbullying	cyberbullye	VERB
cana-731	207	15	:	:	PUNCT
cana-731	207	16	what	what	PRON
cana-731	207	17	's	be	AUX
cana-731	207	18	the	the	DET
cana-731	207	19	problem?”,canadian	problem?”,canadian	ADJ
cana-731	207	20	public	public	ADJ
cana-731	207	21	administration	administration	NOUN
cana-731	207	22	,	,	PUNCT
cana-731	207	23	59(1	59(1	NUM
cana-731	207	24	)	)	PUNCT
cana-731	207	25	,	,	PUNCT
cana-731	207	26	pp	pp	ADP
cana-731	207	27	.	.	PUNCT
cana-731	208	1	45	45	NUM
cana-731	208	2	-	-	SYM
cana-731	208	3	71	71	NUM
cana-731	208	4	,	,	PUNCT
cana-731	208	5	2016	2016	NUM
cana-731	208	6	.	.	PUNCT
cana-731	209	1	[	[	X
cana-731	209	2	6	6	NUM
cana-731	209	3	]	]	X
cana-731	209	4	kubiszewski	kubiszewski	ADJ
cana-731	209	5	,	,	PUNCT
cana-731	209	6	v.	v.	PROPN
cana-731	209	7	,	,	PUNCT
cana-731	209	8	fontaine	fontaine	PROPN
cana-731	209	9	,	,	PUNCT
cana-731	209	10	r.	r.	PROPN
cana-731	209	11	,	,	PUNCT
cana-731	209	12	potard	potard	NOUN
cana-731	209	13	,	,	PUNCT
cana-731	209	14	c.	c.	PROPN
cana-731	209	15	,	,	PUNCT
cana-731	209	16	&	&	CCONJ
cana-731	209	17	auzoult	auzoult	PROPN
cana-731	209	18	,	,	PUNCT
cana-731	209	19	l.	l.	PROPN
cana-731	209	20	(	(	PUNCT
cana-731	209	21	2015	2015	NUM
cana-731	209	22	)	)	PUNCT
cana-731	209	23	.	.	PUNCT
cana-731	210	1	does	do	AUX
cana-731	210	2	cyberbullying	cyberbullye	VERB
cana-731	210	3	overlap	overlap	NOUN
cana-731	210	4	with	with	ADP
cana-731	210	5	school	school	NOUN
cana-731	210	6	bullying	bullying	NOUN
cana-731	210	7	when	when	SCONJ
cana-731	210	8	taking	take	VERB
cana-731	210	9	modality	modality	NOUN
cana-731	210	10	of	of	ADP
cana-731	210	11	involvement	involvement	NOUN
cana-731	210	12	into	into	ADP
cana-731	210	13	account	account	NOUN
cana-731	210	14	?	?	PUNCT
cana-731	210	15	.	.	PUNCT
cana-731	211	1	computers	computer	NOUN
cana-731	211	2	in	in	ADP
cana-731	211	3	human	human	ADJ
cana-731	211	4	behavior	behavior	NOUN
cana-731	211	5	,	,	PUNCT
cana-731	211	6	43	43	NUM
cana-731	211	7	,	,	PUNCT
cana-731	211	8	49	49	NUM
cana-731	211	9	-	-	SYM
cana-731	211	10	57	57	NUM
cana-731	211	11	.	.	PUNCT
cana-731	212	1	[	[	X
cana-731	212	2	7	7	NUM
cana-731	212	3	]	]	X
cana-731	212	4	jane	jane	NOUN
cana-731	212	5	,	,	PUNCT
cana-731	212	6	e.	e.	PROPN
cana-731	212	7	a.	a.	PROPN
cana-731	212	8	,	,	PUNCT
cana-731	212	9	“	"	PUNCT
cana-731	212	10	flaming	flaming	NOUN
cana-731	212	11	?	?	PUNCT
cana-731	213	1	what	what	PRON
cana-731	213	2	flaming	flame	VERB
cana-731	213	3	?	?	PUNCT
cana-731	214	1	the	the	DET
cana-731	214	2	pitfalls	pitfall	NOUN
cana-731	214	3	and	and	CCONJ
cana-731	214	4	potentials	potential	NOUN
cana-731	214	5	of	of	ADP
cana-731	214	6	researching	research	VERB
cana-731	214	7	online	online	ADJ
cana-731	214	8	hostility	hostility	NOUN
cana-731	214	9	”	"	PUNCT
cana-731	214	10	,	,	PUNCT
cana-731	214	11	ethics	ethic	NOUN
cana-731	214	12	and	and	CCONJ
cana-731	214	13	information	information	NOUN
cana-731	214	14	technology	technology	NOUN
cana-731	214	15	,	,	PUNCT
cana-731	214	16	17(1	17(1	NUM
cana-731	214	17	)	)	PUNCT
cana-731	214	18	,	,	PUNCT
cana-731	214	19	65	65	NUM
cana-731	214	20	-	-	SYM
cana-731	214	21	87	87	NUM
cana-731	214	22	,	,	PUNCT
cana-731	214	23	2015	2015	NUM
cana-731	214	24	.	.	PUNCT
cana-731	215	1	[	[	X
cana-731	215	2	8	8	NUM
cana-731	215	3	]	]	X
cana-731	215	4	watts	watt	NOUN
cana-731	215	5	,	,	PUNCT
cana-731	215	6	l.	l.	PROPN
cana-731	215	7	k.	k.	PROPN
cana-731	215	8	,	,	PUNCT
cana-731	215	9	wagner	wagner	PROPN
cana-731	215	10	,	,	PUNCT
cana-731	215	11	j.	j.	PROPN
cana-731	215	12	,	,	PUNCT
cana-731	215	13	velasquez	velasquez	PROPN
cana-731	215	14	,	,	PUNCT
cana-731	215	15	b.	b.	PROPN
cana-731	215	16	,	,	PUNCT
cana-731	215	17	&	&	CCONJ
cana-731	215	18	behrens	behrens	PROPN
cana-731	215	19	,	,	PUNCT
cana-731	215	20	p.	p.	NOUN
cana-731	215	21	i.	i.	PROPN
cana-731	215	22	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	215	23	in	in	ADP
cana-731	215	24	higher	high	ADJ
cana-731	215	25	education	education	NOUN
cana-731	215	26	:	:	PUNCT
cana-731	215	27	a	a	DET
cana-731	215	28	literature	literature	NOUN
cana-731	215	29	review	review	NOUN
cana-731	215	30	.	.	PUNCT
cana-731	216	1	computers	computer	NOUN
cana-731	216	2	in	in	ADP
cana-731	216	3	human	human	ADJ
cana-731	216	4	behavior	behavior	NOUN
cana-731	216	5	,	,	PUNCT
cana-731	216	6	69	69	NUM
cana-731	216	7	,	,	PUNCT
cana-731	216	8	pp	pp	ADJ
cana-731	216	9	.	.	PUNCT
cana-731	217	1	268	268	NUM
cana-731	217	2	-	-	SYM
cana-731	217	3	274	274	NUM
cana-731	217	4	,	,	PUNCT
cana-731	217	5	2017	2017	NUM
cana-731	217	6	.	.	PUNCT
cana-731	218	1	[	[	X
cana-731	218	2	9	9	NUM
cana-731	218	3	]	]	SYM
cana-731	218	4	ali	ali	PROPN
cana-731	218	5	,	,	PUNCT
cana-731	218	6	w.	w.	PROPN
cana-731	218	7	n.	n.	PROPN
cana-731	218	8	h.	h.	PROPN
cana-731	218	9	w.	w.	PROPN
cana-731	218	10	,	,	PUNCT
cana-731	218	11	mohd	mohd	PROPN
cana-731	218	12	,	,	PUNCT
cana-731	218	13	m.	m.	NOUN
cana-731	218	14	,	,	PUNCT
cana-731	218	15	&	&	CCONJ
cana-731	218	16	fauzi	fauzi	PROPN
cana-731	218	17	,	,	PUNCT
cana-731	218	18	f.	f.	PROPN
cana-731	218	19	,	,	PUNCT
cana-731	218	20	“	"	PUNCT
cana-731	218	21	cyberbullying	cyberbullye	VERB
cana-731	218	22	detection	detection	NOUN
cana-731	218	23	:	:	PUNCT
cana-731	218	24	an	an	DET
cana-731	218	25	overview”,ieee	overview”,ieee	NOUN
cana-731	218	26	cyber	cyber	NOUN
cana-731	218	27	resilience	resilience	NOUN
cana-731	218	28	conference	conference	NOUN
cana-731	218	29	(	(	PUNCT
cana-731	218	30	crc	crc	NOUN
cana-731	218	31	)	)	PUNCT
cana-731	218	32	,	,	PUNCT
cana-731	218	33	pp	pp	PROPN
cana-731	218	34	.	.	PUNCT
cana-731	219	1	1	1	NUM
cana-731	219	2	-	-	SYM
cana-731	219	3	3	3	NUM
cana-731	219	4	,	,	PUNCT
cana-731	219	5	2018	2018	NUM
cana-731	219	6	.	.	PUNCT
cana-731	220	1	[	[	X
cana-731	220	2	10	10	NUM
cana-731	220	3	]	]	X
cana-731	220	4	novitasari	novitasari	ADJ
cana-731	220	5	,	,	PUNCT
cana-731	220	6	n.	n.	PROPN
cana-731	220	7	f.	f.	PROPN
cana-731	220	8	,	,	PUNCT
cana-731	220	9	&	&	CCONJ
cana-731	220	10	hia	hia	PROPN
cana-731	220	11	,	,	PUNCT
cana-731	220	12	n.	n.	PROPN
cana-731	220	13	i.	i.	PROPN
cana-731	220	14	a.	a.	PROPN
cana-731	220	15	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	220	16	in	in	ADP
cana-731	220	17	movie	movie	NOUN
cana-731	220	18	cyberbully	cyberbully	ADV
cana-731	220	19	:	:	PUNCT
cana-731	220	20	an	an	DET
cana-731	220	21	analysis	analysis	NOUN
cana-731	220	22	from	from	ADP
cana-731	220	23	the	the	DET
cana-731	220	24	psychological	psychological	ADJ
cana-731	220	25	perspective”,celtic	perspective”,celtic	NOUN
cana-731	220	26	:	:	PUNCT
cana-731	220	27	a	a	DET
cana-731	220	28	journal	journal	NOUN
cana-731	220	29	of	of	ADP
cana-731	220	30	culture	culture	NOUN
cana-731	220	31	,	,	PUNCT
cana-731	220	32	english	english	ADJ
cana-731	220	33	language	language	NOUN
cana-731	220	34	teaching	teaching	NOUN
cana-731	220	35	,	,	PUNCT
cana-731	220	36	literature	literature	NOUN
cana-731	220	37	and	and	CCONJ
cana-731	220	38	linguistics	linguistic	NOUN
cana-731	220	39	,	,	PUNCT
cana-731	220	40	8(1	8(1	NOUN
cana-731	220	41	)	)	PUNCT
cana-731	220	42	,	,	PUNCT
cana-731	220	43	pp	pp	PROPN
cana-731	220	44	.	.	PUNCT
cana-731	221	1	44	44	NUM
cana-731	221	2	-	-	SYM
cana-731	221	3	64	64	NUM
cana-731	221	4	,	,	PUNCT
cana-731	221	5	2021	2021	NUM
cana-731	221	6	.	.	PUNCT
cana-731	222	1	[	[	X
cana-731	222	2	11	11	NUM
cana-731	222	3	]	]	X
cana-731	222	4	al	al	PROPN
cana-731	222	5	-	-	PUNCT
cana-731	222	6	rahmi	rahmi	PROPN
cana-731	222	7	,	,	PUNCT
cana-731	222	8	w.	w.	PROPN
cana-731	222	9	m.	m.	PROPN
cana-731	222	10	,	,	PUNCT
cana-731	222	11	yahaya	yahaya	PROPN
cana-731	222	12	,	,	PUNCT
cana-731	222	13	n.	n.	NOUN
cana-731	222	14	,	,	PUNCT
cana-731	222	15	alamri	alamri	ADJ
cana-731	222	16	,	,	PUNCT
cana-731	222	17	m.	m.	NOUN
cana-731	222	18	m.	m.	NOUN
cana-731	222	19	,	,	PUNCT
cana-731	222	20	aljarboa	aljarboa	ADJ
cana-731	222	21	,	,	PUNCT
cana-731	222	22	n.	n.	PROPN
cana-731	222	23	a.	a.	PROPN
cana-731	222	24	,	,	PUNCT
cana-731	222	25	kamin	kamin	PROPN
cana-731	222	26	,	,	PUNCT
cana-731	222	27	y.	y.	PROPN
cana-731	222	28	b.	b.	PROPN
cana-731	222	29	,	,	PUNCT
cana-731	222	30	&	&	CCONJ
cana-731	222	31	saud	saud	PROPN
cana-731	222	32	,	,	PUNCT
cana-731	222	33	m.	m.	PROPN
cana-731	222	34	s.	s.	PROPN
cana-731	222	35	b.	b.	PROPN
cana-731	222	36	,	,	PUNCT
cana-731	222	37	“	"	PUNCT
cana-731	222	38	how	how	SCONJ
cana-731	222	39	cyber	cyber	ADJ
cana-731	222	40	stalking	stalk	VERB
cana-731	222	41	and	and	CCONJ
cana-731	222	42	cyber	cyber	NOUN
cana-731	222	43	bullying	bullying	NOUN
cana-731	222	44	affect	affect	ADJ
cana-731	222	45	students	student	NOUN
cana-731	222	46	’	'	PUNCT
cana-731	222	47	open	open	ADJ
cana-731	222	48	learning	learning	NOUN
cana-731	222	49	”	"	PUNCT
cana-731	222	50	,	,	PUNCT
cana-731	222	51	ieee	ieee	NOUN
cana-731	222	52	access	access	NOUN
cana-731	222	53	,	,	PUNCT
cana-731	222	54	7	7	NUM
cana-731	222	55	,	,	PUNCT
cana-731	222	56	pp	pp	ADJ
cana-731	222	57	.	.	PUNCT
cana-731	222	58	20199	20199	NUM
cana-731	222	59	-	-	SYM
cana-731	222	60	20210	20210	NUM
cana-731	222	61	,	,	PUNCT
cana-731	222	62	2019	2019	NUM
cana-731	222	63	.	.	PUNCT
cana-731	223	1	[	[	X
cana-731	223	2	12	12	NUM
cana-731	223	3	]	]	SYM
cana-731	223	4	vyawahare	vyawahare	NOUN
cana-731	223	5	,	,	PUNCT
cana-731	223	6	m.	m.	NOUN
cana-731	223	7	,	,	PUNCT
cana-731	223	8	&	&	CCONJ
cana-731	223	9	chatterjee	chatterjee	PROPN
cana-731	223	10	,	,	PUNCT
cana-731	223	11	m,“taxonomy	m,“taxonomy	NOUN
cana-731	223	12	of	of	ADP
cana-731	223	13	cyberbullying	cyberbullye	VERB
cana-731	223	14	detection	detection	NOUN
cana-731	223	15	and	and	CCONJ
cana-731	223	16	prediction	prediction	NOUN
cana-731	223	17	techniques	technique	NOUN
cana-731	223	18	in	in	ADP
cana-731	223	19	online	online	ADJ
cana-731	223	20	social	social	ADJ
cana-731	223	21	networks	network	NOUN
cana-731	223	22	”	"	PUNCT
cana-731	223	23	,	,	PUNCT
cana-731	223	24	data	datum	NOUN
cana-731	223	25	communication	communication	NOUN
cana-731	223	26	and	and	CCONJ
cana-731	223	27	networks	network	NOUN
cana-731	223	28	,	,	PUNCT
cana-731	223	29	pp	pp	ADV
cana-731	223	30	.	.	PUNCT
cana-731	224	1	21	21	NUM
cana-731	224	2	-	-	SYM
cana-731	224	3	37	37	NUM
cana-731	224	4	,	,	PUNCT
cana-731	224	5	springer	springer	NOUN
cana-731	224	6	,	,	PUNCT
cana-731	224	7	singapore	singapore	PROPN
cana-731	224	8	,	,	PUNCT
cana-731	224	9	2020	2020	NUM
cana-731	224	10	.	.	PUNCT
cana-731	225	1	[	[	X
cana-731	225	2	13	13	NUM
cana-731	225	3	]	]	PUNCT
cana-731	225	4	iwendi	iwendi	NOUN
cana-731	225	5	,	,	PUNCT
cana-731	225	6	c.	c.	PROPN
cana-731	225	7	,	,	PUNCT
cana-731	225	8	srivastava	srivastava	PROPN
cana-731	225	9	,	,	PUNCT
cana-731	225	10	g.	g.	PROPN
cana-731	225	11	,	,	PUNCT
cana-731	225	12	khan	khan	PROPN
cana-731	225	13	,	,	PUNCT
cana-731	225	14	s.	s.	PROPN
cana-731	225	15	,	,	PUNCT
cana-731	225	16	&	&	CCONJ
cana-731	225	17	maddikunta	maddikunta	PROPN
cana-731	225	18	,	,	PUNCT
cana-731	225	19	p.	p.	PROPN
cana-731	225	20	k.	k.	PROPN
cana-731	225	21	r.	r.	PROPN
cana-731	225	22	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	225	23	detection	detection	NOUN
cana-731	225	24	solutions	solution	NOUN
cana-731	225	25	based	base	VERB
cana-731	225	26	on	on	ADP
cana-731	225	27	deep	deep	ADJ
cana-731	225	28	learning	learn	VERB
cana-731	225	29	architectures”,multimedia	architectures”,multimedia	PROPN
cana-731	225	30	systems	system	NOUN
cana-731	225	31	,	,	PUNCT
cana-731	225	32	pp	pp	ADJ
cana-731	225	33	.	.	PUNCT
cana-731	226	1	1	1	NUM
cana-731	226	2	-	-	SYM
cana-731	226	3	14	14	NUM
cana-731	226	4	,	,	PUNCT
cana-731	226	5	2020	2020	NUM
cana-731	226	6	.	.	PUNCT
cana-731	227	1	[	[	X
cana-731	227	2	14	14	NUM
cana-731	227	3	]	]	X
cana-731	227	4	balakrishnan	balakrishnan	PROPN
cana-731	227	5	,	,	PUNCT
cana-731	227	6	v.	v.	PROPN
cana-731	227	7	,	,	PUNCT
cana-731	227	8	khan	khan	PROPN
cana-731	227	9	,	,	PUNCT
cana-731	227	10	s.	s.	PROPN
cana-731	227	11	,	,	PUNCT
cana-731	227	12	&	&	CCONJ
cana-731	227	13	arabnia	arabnia	PROPN
cana-731	227	14	,	,	PUNCT
cana-731	227	15	h.	h.	PROPN
cana-731	227	16	r.	r.	PROPN
cana-731	227	17	,“improving	,“improving	PUNCT
cana-731	227	18	cyberbullying	cyberbullye	VERB
cana-731	227	19	detection	detection	NOUN
cana-731	227	20	using	use	VERB
cana-731	227	21	twitter	twitter	NOUN
cana-731	227	22	users	user	NOUN
cana-731	227	23	’	’	PART
cana-731	227	24	psychological	psychological	ADJ
cana-731	227	25	features	feature	NOUN
cana-731	227	26	and	and	CCONJ
cana-731	227	27	machine	machine	NOUN
cana-731	227	28	learning”,computers	learning”,computer	NOUN
cana-731	227	29	&	&	CCONJ
cana-731	227	30	security	security	NOUN
cana-731	227	31	,	,	PUNCT
cana-731	227	32	90	90	NUM
cana-731	227	33	,	,	PUNCT
cana-731	227	34	pp	pp	ADJ
cana-731	227	35	.	.	PUNCT
cana-731	227	36	101710	101710	NUM
cana-731	227	37	,	,	PUNCT
cana-731	227	38	2020	2020	NUM
cana-731	227	39	.	.	PUNCT
cana-731	228	1	[	[	X
cana-731	228	2	15	15	NUM
cana-731	228	3	]	]	X
cana-731	228	4	cheng	cheng	PROPN
cana-731	228	5	,	,	PUNCT
cana-731	228	6	l.	l.	PROPN
cana-731	228	7	,	,	PUNCT
cana-731	228	8	guo	guo	PROPN
cana-731	228	9	,	,	PUNCT
cana-731	228	10	r.	r.	PROPN
cana-731	228	11	,	,	PUNCT
cana-731	228	12	silva	silva	PROPN
cana-731	228	13	,	,	PUNCT
cana-731	228	14	y.	y.	PROPN
cana-731	228	15	,	,	PUNCT
cana-731	228	16	hall	hall	PROPN
cana-731	228	17	,	,	PUNCT
cana-731	228	18	d.	d.	PROPN
cana-731	228	19	,	,	PUNCT
cana-731	228	20	&	&	CCONJ
cana-731	228	21	liu	liu	PROPN
cana-731	228	22	,	,	PUNCT
cana-731	228	23	h.	h.	PROPN
cana-731	228	24	,“hierarchical	,“hierarchical	PUNCT
cana-731	228	25	attention	attention	NOUN
cana-731	228	26	networks	network	NOUN
cana-731	228	27	for	for	ADP
cana-731	228	28	cyberbullying	cyberbullye	VERB
cana-731	228	29	detection	detection	NOUN
cana-731	228	30	on	on	ADP
cana-731	228	31	the	the	DET
cana-731	228	32	instagram	instagram	PROPN
cana-731	228	33	social	social	PROPN
cana-731	228	34	network”siam	network”siam	PROPN
cana-731	228	35	international	international	ADJ
cana-731	228	36	conference	conference	NOUN
cana-731	228	37	on	on	ADP
cana-731	228	38	data	datum	NOUN
cana-731	228	39	mining	mining	NOUN
cana-731	228	40	society	society	NOUN
cana-731	228	41	for	for	ADP
cana-731	228	42	industrial	industrial	ADJ
cana-731	228	43	and	and	CCONJ
cana-731	228	44	applied	applied	ADJ
cana-731	228	45	mathematics	mathematic	NOUN
cana-731	228	46	,	,	PUNCT
cana-731	228	47	pp	pp	ADJ
cana-731	228	48	.	.	PUNCT
cana-731	228	49	235	235	NUM
cana-731	228	50	-	-	SYM
cana-731	228	51	243	243	NUM
cana-731	228	52	,	,	PUNCT
cana-731	228	53	2019	2019	NUM
cana-731	228	54	.	.	PUNCT
cana-731	229	1	[	[	X
cana-731	229	2	16	16	NUM
cana-731	229	3	]	]	X
cana-731	229	4	singh	singh	PROPN
cana-731	229	5	,	,	PUNCT
cana-731	229	6	v.	v.	PROPN
cana-731	229	7	k.	k.	PROPN
cana-731	229	8	,	,	PUNCT
cana-731	229	9	ghosh	ghosh	PROPN
cana-731	229	10	,	,	PUNCT
cana-731	229	11	s.	s.	PROPN
cana-731	229	12	,	,	PUNCT
cana-731	229	13	&	&	CCONJ
cana-731	229	14	jose	jose	PROPN
cana-731	229	15	,	,	PUNCT
cana-731	229	16	c	c	X
cana-731	229	17	,	,	PUNCT
cana-731	229	18	“	"	PUNCT
cana-731	229	19	toward	toward	ADP
cana-731	229	20	multimodal	multimodal	NOUN
cana-731	229	21	cyberbullying	cyberbullying	NOUN
cana-731	229	22	detection”,chi	detection”,chi	PROPN
cana-731	229	23	conference	conference	NOUN
cana-731	229	24	extended	extend	VERB
cana-731	229	25	abstracts	abstract	NOUN
cana-731	229	26	on	on	ADP
cana-731	229	27	human	human	ADJ
cana-731	229	28	factors	factor	NOUN
cana-731	229	29	in	in	ADP
cana-731	229	30	computing	computing	NOUN
cana-731	229	31	systems	system	NOUN
cana-731	229	32	,	,	PUNCT
cana-731	229	33	pp	pp	ADP
cana-731	229	34	.	.	PUNCT
cana-731	230	1	2090	2090	NUM
cana-731	230	2	-	-	SYM
cana-731	230	3	2099	2099	NUM
cana-731	230	4	,	,	PUNCT
cana-731	230	5	2017	2017	NUM
cana-731	230	6	.	.	PUNCT
cana-731	231	1	[	[	X
cana-731	231	2	17	17	NUM
cana-731	231	3	]	]	X
cana-731	231	4	van	van	PROPN
cana-731	231	5	hee	hee	PROPN
cana-731	231	6	,	,	PUNCT
cana-731	231	7	c.	c.	PROPN
cana-731	231	8	,	,	PUNCT
cana-731	231	9	jacobs	jacobs	PROPN
cana-731	231	10	,	,	PUNCT
cana-731	231	11	g.	g.	PROPN
cana-731	231	12	,	,	PUNCT
cana-731	231	13	emmery	emmery	PROPN
cana-731	231	14	,	,	PUNCT
cana-731	231	15	c.	c.	PROPN
cana-731	231	16	,	,	PUNCT
cana-731	231	17	desmet	desmet	PROPN
cana-731	231	18	,	,	PUNCT
cana-731	231	19	b.	b.	PROPN
cana-731	231	20	,	,	PUNCT
cana-731	231	21	lefever	lefever	PROPN
cana-731	231	22	,	,	PUNCT
cana-731	231	23	e.	e.	PROPN
cana-731	231	24	,	,	PUNCT
cana-731	231	25	verhoeven	verhoeven	PROPN
cana-731	231	26	,	,	PUNCT
cana-731	231	27	b.	b.	PROPN
cana-731	231	28	,	,	PUNCT
cana-731	231	29	...	...	PUNCT
cana-731	231	30	&	&	CCONJ
cana-731	231	31	hoste	hoste	PROPN
cana-731	231	32	,	,	PUNCT
cana-731	231	33	v.	v.	PROPN
cana-731	231	34	,“automatic	,“automatic	PUNCT
cana-731	231	35	detection	detection	NOUN
cana-731	231	36	of	of	ADP
cana-731	231	37	cyberbullying	cyberbullye	VERB
cana-731	231	38	in	in	ADP
cana-731	231	39	social	social	ADJ
cana-731	231	40	media	medium	NOUN
cana-731	231	41	text”,plos	text”,plo	NOUN
cana-731	231	42	one	one	NUM
cana-731	231	43	,	,	PUNCT
cana-731	231	44	13(10	13(10	NUM
cana-731	231	45	)	)	PUNCT
cana-731	231	46	,	,	PUNCT
cana-731	231	47	pp	pp	PROPN
cana-731	231	48	.	.	PUNCT
cana-731	232	1	0203794	0203794	NUM
cana-731	232	2	,	,	PUNCT
cana-731	232	3	2018	2018	NUM
cana-731	232	4	.	.	PUNCT
cana-731	233	1	[	[	X
cana-731	233	2	18	18	NUM
cana-731	233	3	]	]	X
cana-731	233	4	haidar	haidar	PROPN
cana-731	233	5	,	,	PUNCT
cana-731	233	6	b.	b.	PROPN
cana-731	233	7	,	,	PUNCT
cana-731	233	8	chamoun	chamoun	NOUN
cana-731	233	9	,	,	PUNCT
cana-731	233	10	m.	m.	NOUN
cana-731	233	11	,	,	PUNCT
cana-731	233	12	&	&	CCONJ
cana-731	233	13	serhrouchni	serhrouchni	PROPN
cana-731	233	14	,	,	PUNCT
cana-731	233	15	a.	a.	NOUN
cana-731	233	16	,“a	,“a	NOUN
cana-731	233	17	multilingual	multilingual	ADJ
cana-731	233	18	system	system	NOUN
cana-731	233	19	for	for	ADP
cana-731	233	20	cyberbullying	cyberbullye	VERB
cana-731	233	21	detection	detection	NOUN
cana-731	233	22	:	:	PUNCT
cana-731	233	23	arabic	arabic	ADJ
cana-731	233	24	content	content	NOUN
cana-731	233	25	detection	detection	NOUN
cana-731	233	26	using	use	VERB
cana-731	233	27	machine	machine	NOUN
cana-731	233	28	learning	learning	NOUN
cana-731	233	29	”	"	PUNCT
cana-731	233	30	,	,	PUNCT
cana-731	233	31	advances	advance	NOUN
cana-731	233	32	in	in	ADP
cana-731	233	33	science	science	NOUN
cana-731	233	34	,	,	PUNCT
cana-731	233	35	technology	technology	NOUN
cana-731	233	36	and	and	CCONJ
cana-731	233	37	engineering	engineering	NOUN
cana-731	233	38	systems	system	NOUN
cana-731	233	39	journal	journal	NOUN
cana-731	233	40	,	,	PUNCT
cana-731	233	41	2(6	2(6	NUM
cana-731	233	42	)	)	PUNCT
cana-731	233	43	,	,	PUNCT
cana-731	233	44	pp	pp	ADJ
cana-731	233	45	.	.	PUNCT
cana-731	234	1	275	275	NUM
cana-731	234	2	-	-	SYM
cana-731	234	3	284	284	NUM
cana-731	234	4	,	,	PUNCT
cana-731	234	5	2017	2017	NUM
cana-731	234	6	.	.	PUNCT
cana-731	235	1	[	[	X
cana-731	235	2	19	19	NUM
cana-731	235	3	]	]	X
cana-731	235	4	agrawal	agrawal	PROPN
cana-731	235	5	,	,	PUNCT
cana-731	235	6	s.	s.	PROPN
cana-731	235	7	,	,	PUNCT
cana-731	235	8	&	&	CCONJ
cana-731	235	9	awekar	awekar	PROPN
cana-731	235	10	,	,	PUNCT
cana-731	235	11	a.	a.	NOUN
cana-731	235	12	,“deep	,“deep	PUNCT
cana-731	235	13	learning	learn	VERB
cana-731	235	14	for	for	ADP
cana-731	235	15	detecting	detect	VERB
cana-731	235	16	cyberbullying	cyberbullye	VERB
cana-731	235	17	across	across	ADP
cana-731	235	18	multiple	multiple	ADJ
cana-731	235	19	social	social	ADJ
cana-731	235	20	media	medium	NOUN
cana-731	235	21	platforms	platform	NOUN
cana-731	235	22	”	"	PUNCT
cana-731	235	23	,	,	PUNCT
cana-731	235	24	european	european	ADJ
cana-731	235	25	conference	conference	NOUN
cana-731	235	26	on	on	ADP
cana-731	235	27	information	information	NOUN
cana-731	235	28	retrieval	retrieval	NOUN
cana-731	235	29	,	,	PUNCT
cana-731	235	30	pp	pp	ADP
cana-731	235	31	.	.	PUNCT
cana-731	236	1	141	141	NUM
cana-731	236	2	-	-	SYM
cana-731	236	3	153	153	NUM
cana-731	236	4	,	,	PUNCT
cana-731	236	5	2018	2018	NUM
cana-731	236	6	.	.	PUNCT
cana-731	237	1	[	[	X
cana-731	237	2	20	20	NUM
cana-731	237	3	]	]	X
cana-731	237	4	gencoglu	gencoglu	NOUN
cana-731	237	5	,	,	PUNCT
cana-731	237	6	o.	o.	PROPN
cana-731	237	7	,	,	PUNCT
cana-731	237	8	“	"	PUNCT
cana-731	237	9	cyberbullying	cyberbullye	VERB
cana-731	237	10	detection	detection	NOUN
cana-731	237	11	with	with	ADP
cana-731	237	12	fairness	fairness	NOUN
cana-731	237	13	constraints”,ieee	constraints”,ieee	NOUN
cana-731	237	14	internet	internet	NOUN
cana-731	237	15	computing	computing	NOUN
cana-731	237	16	,	,	PUNCT
cana-731	237	17	25(1	25(1	NUM
cana-731	237	18	)	)	PUNCT
cana-731	237	19	,	,	PUNCT
cana-731	237	20	pp	pp	CCONJ
cana-731	237	21	,	,	PUNCT
cana-731	237	22	20	20	NUM
cana-731	237	23	-	-	SYM
cana-731	237	24	29	29	NUM
cana-731	237	25	,	,	PUNCT
cana-731	237	26	2020	2020	NUM
cana-731	237	27	.	.	PUNCT
cana-731	238	1	[	[	X
cana-731	238	2	21	21	NUM
cana-731	238	3	]	]	X
cana-731	238	4	balakrishnan	balakrishnan	PROPN
cana-731	238	5	,	,	PUNCT
cana-731	238	6	v.	v.	PROPN
cana-731	238	7	,	,	PUNCT
cana-731	238	8	khan	khan	PROPN
cana-731	238	9	,	,	PUNCT
cana-731	238	10	s.	s.	PROPN
cana-731	238	11	,	,	PUNCT
cana-731	238	12	fernandez	fernandez	PROPN
cana-731	238	13	,	,	PUNCT
cana-731	238	14	t.	t.	PROPN
cana-731	238	15	,	,	PUNCT
cana-731	238	16	&	&	CCONJ
cana-731	238	17	arabnia	arabnia	PROPN
cana-731	238	18	,	,	PUNCT
cana-731	238	19	h.	h.	PROPN
cana-731	238	20	r.	r.	PROPN
cana-731	238	21	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	238	22	detection	detection	NOUN
cana-731	238	23	on	on	ADP
cana-731	238	24	twitter	twitter	NOUN
cana-731	238	25	using	use	VERB
cana-731	238	26	big	big	ADJ
cana-731	238	27	five	five	NUM
cana-731	238	28	and	and	CCONJ
cana-731	238	29	dark	dark	ADJ
cana-731	238	30	triad	triad	ADJ
cana-731	238	31	features”,personality	features”,personality	NOUN
cana-731	238	32	and	and	CCONJ
cana-731	238	33	individual	individual	ADJ
cana-731	238	34	differences	difference	NOUN
cana-731	238	35	,	,	PUNCT
cana-731	238	36	141	141	NUM
cana-731	238	37	,	,	PUNCT
cana-731	238	38	pp	pp	ADJ
cana-731	238	39	.	.	PUNCT
cana-731	239	1	252	252	NUM
cana-731	239	2	-	-	SYM
cana-731	239	3	257	257	NUM
cana-731	239	4	,	,	PUNCT
cana-731	239	5	2019	2019	NUM
cana-731	239	6	.	.	PUNCT
cana-731	240	1	[	[	X
cana-731	240	2	22	22	NUM
cana-731	240	3	]	]	PUNCT
cana-731	240	4	iwendi	iwendi	PROPN
cana-731	240	5	,	,	PUNCT
cana-731	240	6	c.	c.	PROPN
cana-731	240	7	,	,	PUNCT
cana-731	240	8	srivastava	srivastava	PROPN
cana-731	240	9	,	,	PUNCT
cana-731	240	10	g.	g.	PROPN
cana-731	240	11	,	,	PUNCT
cana-731	240	12	khan	khan	PROPN
cana-731	240	13	,	,	PUNCT
cana-731	240	14	s.	s.	PROPN
cana-731	240	15	,	,	PUNCT
cana-731	240	16	&	&	CCONJ
cana-731	240	17	maddikunta	maddikunta	PROPN
cana-731	240	18	,	,	PUNCT
cana-731	240	19	p.	p.	PROPN
cana-731	240	20	k.	k.	PROPN
cana-731	240	21	r.	r.	PROPN
cana-731	240	22	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	240	23	detection	detection	NOUN
cana-731	240	24	solutions	solution	NOUN
cana-731	240	25	based	base	VERB
cana-731	240	26	on	on	ADP
cana-731	240	27	deep	deep	ADJ
cana-731	240	28	learning	learn	VERB
cana-731	240	29	architectures”,multimedia	architectures”,multimedia	PROPN
cana-731	240	30	systems	system	NOUN
cana-731	240	31	,	,	PUNCT
cana-731	240	32	pp	pp	ADJ
cana-731	240	33	.	.	PUNCT
cana-731	241	1	1	1	NUM
cana-731	241	2	-	-	SYM
cana-731	241	3	14	14	NUM
cana-731	241	4	,	,	PUNCT
cana-731	241	5	2020	2020	NUM
cana-731	241	6	.	.	PUNCT
cana-731	242	1	[	[	X
cana-731	242	2	23	23	NUM
cana-731	242	3	]	]	X
cana-731	242	4	yao	yao	NOUN
cana-731	242	5	,	,	PUNCT
cana-731	242	6	m.	m.	NOUN
cana-731	242	7	,	,	PUNCT
cana-731	242	8	chelmis	chelmis	NOUN
cana-731	242	9	,	,	PUNCT
cana-731	242	10	c.	c.	PROPN
cana-731	242	11	,	,	PUNCT
cana-731	242	12	&	&	CCONJ
cana-731	242	13	zois	zois	PROPN
cana-731	242	14	,	,	PUNCT
cana-731	242	15	d.	d.	PROPN
cana-731	242	16	s.	s.	PROPN
cana-731	242	17	,	,	PUNCT
cana-731	242	18	“	"	PUNCT
cana-731	242	19	cyberbullying	cyberbullye	VERB
cana-731	242	20	ends	end	NOUN
cana-731	242	21	here	here	ADV
cana-731	242	22	:	:	PUNCT
cana-731	242	23	towards	towards	ADP
cana-731	242	24	robust	robust	ADJ
cana-731	242	25	detection	detection	NOUN
cana-731	242	26	of	of	ADP
cana-731	242	27	cyberbullying	cyberbullye	VERB
cana-731	242	28	in	in	ADP
cana-731	242	29	social	social	ADJ
cana-731	242	30	media	medium	NOUN
cana-731	242	31	”	"	PUNCT
cana-731	242	32	,	,	PUNCT
cana-731	242	33	world	world	NOUN
cana-731	242	34	wide	wide	ADJ
cana-731	242	35	web	web	NOUN
cana-731	242	36	conference	conference	NOUN
cana-731	242	37	,	,	PUNCT
cana-731	242	38	pp	pp	X
cana-731	242	39	.	.	PUNCT
cana-731	243	1	3427	3427	NUM
cana-731	243	2	-	-	SYM
cana-731	243	3	3433	3433	NUM
cana-731	243	4	,	,	PUNCT
cana-731	243	5	2019	2019	NUM
cana-731	243	6	.	.	PUNCT
cana-731	244	1	[	[	X
cana-731	244	2	24	24	NUM
cana-731	244	3	]	]	X
cana-731	244	4	raisi	raisi	PROPN
cana-731	244	5	,	,	PUNCT
cana-731	244	6	e.	e.	PROPN
cana-731	244	7	,	,	PUNCT
cana-731	244	8	&	&	CCONJ
cana-731	244	9	huang	huang	PROPN
cana-731	244	10	,	,	PUNCT
cana-731	244	11	b.	b.	PROPN
cana-731	244	12	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	244	13	detection	detection	NOUN
cana-731	244	14	with	with	ADP
cana-731	244	15	weakly	weakly	ADJ
cana-731	244	16	supervised	supervised	ADJ
cana-731	244	17	machine	machine	NOUN
cana-731	244	18	learning	learning	NOUN
cana-731	244	19	”	"	PUNCT
cana-731	244	20	,	,	PUNCT
cana-731	244	21	ieee	ieee	PROPN
cana-731	244	22	/	/	SYM
cana-731	244	23	acm	acm	PROPN
cana-731	244	24	international	international	ADJ
cana-731	244	25	conference	conference	NOUN
cana-731	244	26	on	on	ADP
cana-731	244	27	advances	advance	NOUN
cana-731	244	28	in	in	ADP
cana-731	244	29	social	social	ADJ
cana-731	244	30	networks	network	NOUN
cana-731	244	31	analysis	analysis	NOUN
cana-731	244	32	and	and	CCONJ
cana-731	244	33	mining	mining	NOUN
cana-731	244	34	,	,	PUNCT
cana-731	244	35	pp	pp	ADJ
cana-731	244	36	.	.	PUNCT
cana-731	245	1	409	409	NUM
cana-731	245	2	-	-	SYM
cana-731	245	3	416	416	NUM
cana-731	245	4	,	,	PUNCT
cana-731	245	5	2017	2017	NUM
cana-731	245	6	.	.	PUNCT
cana-731	246	1	communications	communication	NOUN
cana-731	246	2	on	on	ADP
cana-731	246	3	applied	apply	VERB
cana-731	246	4	nonlinear	nonlinear	ADJ
cana-731	246	5	analysis	analysis	NOUN
cana-731	246	6	issn	issn	NOUN
cana-731	246	7	:	:	PUNCT
cana-731	246	8	1074	1074	NUM
cana-731	246	9	-	-	PUNCT
cana-731	246	10	133x	133x	NUM
cana-731	246	11	vol	vol	NOUN
cana-731	246	12	31	31	NUM
cana-731	246	13	no	no	NOUN
cana-731	246	14	.	.	PUNCT
cana-731	247	1	3s	3s	NUM
cana-731	247	2	(	(	PUNCT
cana-731	247	3	2024	2024	NUM
cana-731	247	4	)	)	PUNCT
cana-731	247	5	73	73	NUM
cana-731	247	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-731	248	1	[	[	X
cana-731	248	2	25	25	NUM
cana-731	248	3	]	]	X
cana-731	248	4	lu	lu	PROPN
cana-731	248	5	,	,	PUNCT
cana-731	248	6	s.	s.	PROPN
cana-731	248	7	,	,	PUNCT
cana-731	248	8	zhao	zhao	PROPN
cana-731	248	9	,	,	PUNCT
cana-731	248	10	l.	l.	PROPN
cana-731	248	11	,	,	PUNCT
cana-731	248	12	lai	lai	PROPN
cana-731	248	13	,	,	PUNCT
cana-731	248	14	l.	l.	PROPN
cana-731	248	15	,	,	PUNCT
cana-731	248	16	shi	shi	PROPN
cana-731	248	17	,	,	PUNCT
cana-731	248	18	c.	c.	PROPN
cana-731	248	19	,	,	PUNCT
cana-731	248	20	&	&	CCONJ
cana-731	248	21	jiang	jiang	PROPN
cana-731	248	22	,	,	PUNCT
cana-731	248	23	w.	w.	PROPN
cana-731	248	24	,“how	,“how	PUNCT
cana-731	248	25	do	do	AUX
cana-731	248	26	chinese	chinese	ADJ
cana-731	248	27	people	people	NOUN
cana-731	248	28	view	view	VERB
cana-731	248	29	cyberbullying	cyberbullye	VERB
cana-731	248	30	?	?	PUNCT
cana-731	249	1	a	a	DET
cana-731	249	2	text	text	NOUN
cana-731	249	3	analysis	analysis	NOUN
cana-731	249	4	based	base	VERB
cana-731	249	5	on	on	ADP
cana-731	249	6	social	social	ADJ
cana-731	249	7	media”,international	media”,international	ADJ
cana-731	249	8	journal	journal	NOUN
cana-731	249	9	of	of	ADP
cana-731	249	10	environmental	environmental	ADJ
cana-731	249	11	research	research	NOUN
cana-731	249	12	and	and	CCONJ
cana-731	249	13	public	public	ADJ
cana-731	249	14	health	health	NOUN
cana-731	249	15	,	,	PUNCT
cana-731	249	16	19(3	19(3	NUM
cana-731	249	17	)	)	PUNCT
cana-731	249	18	,	,	PUNCT
cana-731	249	19	pp	pp	ADP
cana-731	249	20	.	.	PUNCT
cana-731	249	21	1822	1822	NUM
cana-731	249	22	,	,	PUNCT
cana-731	249	23	2022	2022	NUM
cana-731	249	24	.	.	PUNCT
cana-731	250	1	[	[	X
cana-731	250	2	26	26	NUM
cana-731	250	3	]	]	X
cana-731	250	4	vismara	vismara	NOUN
cana-731	250	5	,	,	PUNCT
cana-731	250	6	m.	m.	NOUN
cana-731	250	7	,	,	PUNCT
cana-731	250	8	girone	girone	PROPN
cana-731	250	9	,	,	PUNCT
cana-731	250	10	n.	n.	NOUN
cana-731	250	11	,	,	PUNCT
cana-731	250	12	conti	conti	PROPN
cana-731	250	13	,	,	PUNCT
cana-731	250	14	d.	d.	PROPN
cana-731	250	15	,	,	PUNCT
cana-731	250	16	nicolini	nicolini	PROPN
cana-731	250	17	,	,	PUNCT
cana-731	250	18	g.	g.	PROPN
cana-731	250	19	,	,	PUNCT
cana-731	250	20	&	&	CCONJ
cana-731	250	21	dell’osso	dell’osso	PROPN
cana-731	250	22	,	,	PUNCT
cana-731	250	23	b.	b.	PROPN
cana-731	250	24	,“the	,“the	PROPN
cana-731	250	25	current	current	ADJ
cana-731	250	26	status	status	NOUN
cana-731	250	27	of	of	ADP
cana-731	250	28	cyberbullying	cyberbullye	VERB
cana-731	250	29	research	research	NOUN
cana-731	250	30	:	:	PUNCT
cana-731	250	31	a	a	DET
cana-731	250	32	short	short	ADJ
cana-731	250	33	review	review	NOUN
cana-731	250	34	of	of	ADP
cana-731	250	35	the	the	DET
cana-731	250	36	literature”,current	literature”,current	ADJ
cana-731	250	37	opinion	opinion	NOUN
cana-731	250	38	in	in	ADP
cana-731	250	39	behavioral	behavioral	ADJ
cana-731	250	40	sciences	science	NOUN
cana-731	250	41	,	,	PUNCT
cana-731	250	42	46	46	NUM
cana-731	250	43	,	,	PUNCT
cana-731	250	44	pp	pp	ADJ
cana-731	250	45	.	.	PUNCT
cana-731	250	46	101152	101152	NUM
cana-731	250	47	,	,	PUNCT
cana-731	250	48	2022	2022	NUM
cana-731	250	49	.	.	PUNCT
cana-731	251	1	[	[	X
cana-731	251	2	27	27	NUM
cana-731	251	3	]	]	X
cana-731	251	4	rosa	rosa	PROPN
cana-731	251	5	,	,	PUNCT
cana-731	251	6	h.	h.	PROPN
cana-731	251	7	,	,	PUNCT
cana-731	251	8	pereira	pereira	PROPN
cana-731	251	9	,	,	PUNCT
cana-731	251	10	n.	n.	PROPN
cana-731	251	11	,	,	PUNCT
cana-731	251	12	ribeiro	ribeiro	PROPN
cana-731	251	13	,	,	PUNCT
cana-731	251	14	r.	r.	PROPN
cana-731	251	15	,	,	PUNCT
cana-731	251	16	ferreira	ferreira	PROPN
cana-731	251	17	,	,	PUNCT
cana-731	251	18	p.	p.	PROPN
cana-731	251	19	c.	c.	PROPN
cana-731	251	20	,	,	PUNCT
cana-731	251	21	carvalho	carvalho	PROPN
cana-731	251	22	,	,	PUNCT
cana-731	251	23	j.	j.	PROPN
cana-731	251	24	p.	p.	PROPN
cana-731	251	25	,	,	PUNCT
cana-731	251	26	oliveira	oliveira	PROPN
cana-731	251	27	,	,	PUNCT
cana-731	251	28	s.	s.	PROPN
cana-731	251	29	,	,	PUNCT
cana-731	251	30	coheur	coheur	PROPN
cana-731	251	31	,	,	PUNCT
cana-731	251	32	l.	l.	PROPN
cana-731	251	33	,	,	PUNCT
cana-731	251	34	paulino	paulino	PROPN
cana-731	251	35	,	,	PUNCT
cana-731	251	36	p.	p.	PROPN
cana-731	251	37	,	,	PUNCT
cana-731	251	38	veiga	veiga	PROPN
cana-731	251	39	simão	simão	PROPN
cana-731	251	40	,	,	PUNCT
cana-731	251	41	a.	a.	NOUN
cana-731	251	42	m.	m.	NOUN
cana-731	251	43	,	,	PUNCT
cana-731	251	44	&	&	CCONJ
cana-731	251	45	trancoso	trancoso	NOUN
cana-731	251	46	,	,	PUNCT
cana-731	251	47	i.	i.	PROPN
cana-731	251	48	,“automatic	,“automatic	PUNCT
cana-731	251	49	cyberbullying	cyberbullye	VERB
cana-731	251	50	detection	detection	NOUN
cana-731	251	51	:	:	PUNCT
cana-731	251	52	a	a	DET
cana-731	251	53	systematic	systematic	ADJ
cana-731	251	54	review	review	NOUN
cana-731	251	55	,	,	PUNCT
cana-731	251	56	computers	computer	NOUN
cana-731	251	57	in	in	ADP
cana-731	251	58	human	human	ADJ
cana-731	251	59	behavior	behavior	NOUN
cana-731	251	60	,	,	PUNCT
cana-731	251	61	93	93	NUM
cana-731	251	62	,	,	PUNCT
cana-731	251	63	pp	pp	ADJ
cana-731	251	64	.	.	PUNCT
cana-731	252	1	333–345	333–345	NUM
cana-731	252	2	,	,	PUNCT
cana-731	252	3	2019	2019	NUM
cana-731	252	4	.	.	PUNCT
cana-731	253	1	[	[	X
cana-731	253	2	28	28	NUM
cana-731	253	3	]	]	PUNCT
cana-731	253	4	atoum	atoum	PROPN
cana-731	253	5	,	,	PUNCT
cana-731	253	6	j.	j.	PROPN
cana-731	253	7	o.	o.	PROPN
cana-731	253	8	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	253	9	detection	detection	NOUN
cana-731	253	10	through	through	ADP
cana-731	253	11	sentiment	sentiment	NOUN
cana-731	253	12	analysis”,international	analysis”,international	ADJ
cana-731	253	13	conference	conference	NOUN
cana-731	253	14	on	on	ADP
cana-731	253	15	computational	computational	ADJ
cana-731	253	16	science	science	NOUN
cana-731	253	17	and	and	CCONJ
cana-731	253	18	computational	computational	ADJ
cana-731	253	19	intelligence	intelligence	NOUN
cana-731	253	20	(	(	PUNCT
cana-731	253	21	csci	csci	NOUN
cana-731	253	22	)	)	PUNCT
cana-731	253	23	,	,	PUNCT
cana-731	253	24	2020	2020	NUM
cana-731	253	25	.	.	PUNCT
cana-731	254	1	[	[	X
cana-731	254	2	29	29	NUM
cana-731	254	3	]	]	X
cana-731	254	4	guo	guo	PROPN
cana-731	254	5	,	,	PUNCT
cana-731	254	6	s.	s.	PROPN
cana-731	254	7	,	,	PUNCT
cana-731	254	8	liu	liu	PROPN
cana-731	254	9	,	,	PUNCT
cana-731	254	10	j.	j.	PROPN
cana-731	254	11	,	,	PUNCT
cana-731	254	12	&	&	CCONJ
cana-731	254	13	wang	wang	PROPN
cana-731	254	14	,	,	PUNCT
cana-731	254	15	j.	j.	PROPN
cana-731	254	16	,“cyberbullying	,“cyberbullying	PUNCT
cana-731	254	17	roles	role	NOUN
cana-731	254	18	among	among	ADP
cana-731	254	19	adolescents	adolescent	NOUN
cana-731	254	20	:	:	PUNCT
cana-731	254	21	a	a	DET
cana-731	254	22	social	social	ADJ
cana-731	254	23	-	-	PUNCT
cana-731	254	24	ecological	ecological	ADJ
cana-731	254	25	theory	theory	NOUN
cana-731	254	26	perspective”journal	perspective”journal	NUM
cana-731	254	27	of	of	ADP
cana-731	254	28	school	school	NOUN
cana-731	254	29	violence	violence	NOUN
cana-731	254	30	,	,	PUNCT
cana-731	254	31	pp	pp	ADP
cana-731	254	32	.	.	PUNCT
cana-731	255	1	1–15	1–15	NUM
cana-731	255	2	,	,	PUNCT
cana-731	255	3	2021	2021	NUM
cana-731	255	4	.	.	PUNCT
cana-731	256	1	[	[	X
cana-731	256	2	30	30	NUM
cana-731	256	3	]	]	X
cana-731	256	4	zhang	zhang	PROPN
cana-731	256	5	,	,	PUNCT
cana-731	256	6	z.z	z.z	PROPN
cana-731	256	7	.	.	PROPN
cana-731	256	8	,“the	,“the	PRON
cana-731	256	9	concept	concept	NOUN
cana-731	256	10	,	,	PUNCT
cana-731	256	11	dimensions	dimension	NOUN
cana-731	256	12	,	,	PUNCT
cana-731	256	13	and	and	CCONJ
cana-731	256	14	scale	scale	NOUN
cana-731	256	15	development	development	NOUN
cana-731	256	16	of	of	ADP
cana-731	256	17	game	game	NOUN
cana-731	256	18	bullying	bully	VERB
cana-731	256	19	”	"	PUNCT
cana-731	256	20	international	international	ADJ
cana-731	256	21	news	news	NOUN
cana-731	256	22	,	,	PUNCT
cana-731	256	23	43	43	NUM
cana-731	256	24	(	(	PUNCT
cana-731	256	25	10	10	NUM
cana-731	256	26	)	)	PUNCT
cana-731	256	27	,	,	PUNCT
cana-731	256	28	pp	pp	PROPN
cana-731	256	29	.	.	PUNCT
cana-731	257	1	69	69	NUM
cana-731	257	2	-	-	SYM
cana-731	257	3	97	97	NUM
cana-731	257	4	,	,	PUNCT
cana-731	257	5	2021	2021	NUM
cana-731	257	6	.	.	PUNCT