id	sid	tid	token	lemma	pos
cana-6128	1	1	dhanroop	dhanroop	NOUN
cana-6128	1	2	unmasking	unmask	VERB
cana-6128	1	3	online	online	ADJ
cana-6128	1	4	aggression	aggression	NOUN
cana-6128	1	5	:	:	PUNCT
cana-6128	1	6	iterative	iterative	NOUN
cana-6128	1	7	sentiment	sentiment	NOUN
cana-6128	1	8	analysis	analysis	NOUN
cana-6128	1	9	and	and	CCONJ
cana-6128	1	10	machine	machine	NOUN
cana-6128	1	11	learning	learn	VERB
cana-6128	1	12	for	for	ADP
cana-6128	1	13	enhanced	enhance	VERB
cana-6128	1	14	bully	bully	PROPN
cana-6128	1	15	tweet	tweet	PROPN
cana-6128	1	16	detection	detection	NOUN
cana-6128	1	17	communications	communication	NOUN
cana-6128	1	18	on	on	ADP
cana-6128	1	19	applied	apply	VERB
cana-6128	1	20	nonlinear	nonlinear	ADJ
cana-6128	1	21	analysis	analysis	NOUN
cana-6128	1	22	issn	issn	NOUN
cana-6128	1	23	:	:	PUNCT
cana-6128	1	24	1074	1074	NUM
cana-6128	1	25	-	-	PUNCT
cana-6128	1	26	133x	133x	NUM
cana-6128	1	27	vol	vol	NOUN
cana-6128	1	28	32	32	NUM
cana-6128	1	29	no	no	NOUN
cana-6128	1	30	.	.	PUNCT
cana-6128	2	1	6s	6s	NUM
cana-6128	2	2	(	(	PUNCT
cana-6128	2	3	2025	2025	NUM
cana-6128	2	4	)	)	PUNCT
cana-6128	2	5	604	604	NUM
cana-6128	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	2	7	unmasking	unmask	VERB
cana-6128	2	8	online	online	ADJ
cana-6128	2	9	aggression	aggression	NOUN
cana-6128	2	10	:	:	PUNCT
cana-6128	2	11	iterative	iterative	NOUN
cana-6128	2	12	sentiment	sentiment	NOUN
cana-6128	2	13	analysis	analysis	NOUN
cana-6128	2	14	and	and	CCONJ
cana-6128	2	15	machine	machine	NOUN
cana-6128	2	16	learning	learn	VERB
cana-6128	2	17	for	for	ADP
cana-6128	2	18	enhanced	enhance	VERB
cana-6128	2	19	bully	bully	PROPN
cana-6128	2	20	tweet	tweet	PROPN
cana-6128	2	21	detection	detection	PROPN
cana-6128	2	22	dhanroop	dhanroop	NOUN
cana-6128	2	23	mal	mal	ADJ
cana-6128	2	24	nagar	nagar	NOUN
cana-6128	2	25	assistant	assistant	NOUN
cana-6128	2	26	professor	professor	NOUN
cana-6128	2	27	,	,	PUNCT
cana-6128	2	28	it	it	PRON
cana-6128	2	29	dept	dept	VERB
cana-6128	2	30	.	.	PUNCT
cana-6128	2	31	,	,	PUNCT
cana-6128	2	32	engineering	engineering	NOUN
cana-6128	2	33	college	college	NOUN
cana-6128	2	34	bikaner	bikaner	PROPN
cana-6128	3	1	dhanroopmalnagar@gmail.com	dhanroopmalnagar@gmail.com	X
cana-6128	4	1	narpat	narpat	VERB
cana-6128	4	2	singh	singh	PROPN
cana-6128	4	3	shekhawat	shekhawat	PROPN
cana-6128	4	4	assistant	assistant	PROPN
cana-6128	4	5	professor	professor	NOUN
cana-6128	4	6	,	,	PUNCT
cana-6128	4	7	cse	cse	PROPN
cana-6128	4	8	dept	dept	PROPN
cana-6128	4	9	.	.	PROPN
cana-6128	4	10	,	,	PUNCT
cana-6128	4	11	engineering	engineering	NOUN
cana-6128	4	12	college	college	NOUN
cana-6128	4	13	bikaner	bikaner	NOUN
cana-6128	4	14	narpatsingh67@gmail.com	narpatsingh67@gmail.com	X
cana-6128	4	15	pratap	pratap	PROPN
cana-6128	4	16	singh	singh	PROPN
cana-6128	4	17	barth	barth	PROPN
cana-6128	4	18	assistant	assistant	PROPN
cana-6128	4	19	professor	professor	PROPN
cana-6128	4	20	,	,	PUNCT
cana-6128	4	21	cse	cse	PROPN
cana-6128	4	22	dept	dept	PROPN
cana-6128	4	23	.	.	PROPN
cana-6128	4	24	,	,	PUNCT
cana-6128	5	1	engineering	engineering	NOUN
cana-6128	5	2	college	college	NOUN
cana-6128	5	3	bikaner	bikaner	PROPN
cana-6128	5	4	pratapcharan1985@gmail.com	pratapcharan1985@gmail.com	PUNCT
cana-6128	6	1	article	article	NOUN
cana-6128	6	2	history	history	NOUN
cana-6128	6	3	:	:	PUNCT
cana-6128	6	4	received	receive	VERB
cana-6128	6	5	:	:	PUNCT
cana-6128	6	6	19	19	NUM
cana-6128	6	7	-	-	PUNCT
cana-6128	6	8	05	05	NUM
cana-6128	6	9	-	-	PUNCT
cana-6128	6	10	2025	2025	NUM
cana-6128	6	11	revised	revise	VERB
cana-6128	6	12	:	:	PUNCT
cana-6128	6	13	24	24	NUM
cana-6128	6	14	-	-	PUNCT
cana-6128	6	15	06	06	NUM
cana-6128	6	16	-	-	PUNCT
cana-6128	6	17	2025	2025	NUM
cana-6128	6	18	accepted	accept	VERB
cana-6128	6	19	:	:	PUNCT
cana-6128	6	20	15	15	NUM
cana-6128	6	21	-	-	SYM
cana-6128	6	22	07	07	NUM
cana-6128	6	23	-	-	PUNCT
cana-6128	6	24	2025	2025	NUM
cana-6128	6	25	abstract	abstract	NOUN
cana-6128	6	26	:	:	PUNCT
cana-6128	6	27	this	this	DET
cana-6128	6	28	research	research	NOUN
cana-6128	6	29	paper	paper	NOUN
cana-6128	6	30	details	detail	NOUN
cana-6128	6	31	the	the	DET
cana-6128	6	32	development	development	NOUN
cana-6128	6	33	and	and	CCONJ
cana-6128	6	34	iterative	iterative	NOUN
cana-6128	6	35	evaluation	evaluation	NOUN
cana-6128	6	36	of	of	ADP
cana-6128	6	37	various	various	ADJ
cana-6128	6	38	machine	machine	NOUN
cana-6128	6	39	learning	learning	NOUN
cana-6128	6	40	models	model	NOUN
cana-6128	6	41	for	for	ADP
cana-6128	6	42	sentiment	sentiment	NOUN
cana-6128	6	43	analysis	analysis	NOUN
cana-6128	6	44	specifically	specifically	ADV
cana-6128	6	45	applied	apply	VERB
cana-6128	6	46	to	to	ADP
cana-6128	6	47	the	the	DET
cana-6128	6	48	detection	detection	NOUN
cana-6128	6	49	of	of	ADP
cana-6128	6	50	bully	bully	NOUN
cana-6128	6	51	tweets	tweet	NOUN
cana-6128	6	52	.	.	PUNCT
cana-6128	7	1	the	the	DET
cana-6128	7	2	study	study	NOUN
cana-6128	7	3	systematically	systematically	ADV
cana-6128	7	4	employs	employ	VERB
cana-6128	7	5	a	a	DET
cana-6128	7	6	comprehensive	comprehensive	ADJ
cana-6128	7	7	range	range	NOUN
cana-6128	7	8	of	of	ADP
cana-6128	7	9	algorithms	algorithm	NOUN
cana-6128	7	10	,	,	PUNCT
cana-6128	7	11	including	include	VERB
cana-6128	7	12	support	support	NOUN
cana-6128	7	13	vector	vector	NOUN
cana-6128	7	14	machine	machine	NOUN
cana-6128	7	15	,	,	PUNCT
cana-6128	7	16	naïve	naïve	ADJ
cana-6128	7	17	bayes	bayes	NOUN
cana-6128	7	18	,	,	PUNCT
cana-6128	7	19	random	random	ADJ
cana-6128	7	20	forest	forest	NOUN
cana-6128	7	21	,	,	PUNCT
cana-6128	7	22	logistic	logistic	ADJ
cana-6128	7	23	regression	regression	NOUN
cana-6128	7	24	,	,	PUNCT
cana-6128	7	25	bootstrap	bootstrap	NOUN
cana-6128	7	26	aggregating	aggregating	NOUN
cana-6128	7	27	,	,	PUNCT
cana-6128	7	28	gradient	gradient	ADJ
cana-6128	7	29	boosting	boosting	NOUN
cana-6128	7	30	,	,	PUNCT
cana-6128	7	31	light	light	ADJ
cana-6128	7	32	gradient	gradient	NOUN
cana-6128	7	33	boosting	boost	VERB
cana-6128	7	34	machine	machine	NOUN
cana-6128	7	35	,	,	PUNCT
cana-6128	7	36	adaptive	adaptive	ADJ
cana-6128	7	37	boosting	boosting	NOUN
cana-6128	7	38	,	,	PUNCT
cana-6128	7	39	and	and	CCONJ
cana-6128	7	40	extreme	extreme	ADJ
cana-6128	7	41	gradient	gradient	NOUN
cana-6128	7	42	boosting	boosting	NOUN
cana-6128	7	43	,	,	PUNCT
cana-6128	7	44	to	to	PART
cana-6128	7	45	classify	classify	VERB
cana-6128	7	46	twitter	twitter	NOUN
cana-6128	7	47	data	datum	NOUN
cana-6128	7	48	.	.	PUNCT
cana-6128	8	1	the	the	DET
cana-6128	8	2	primary	primary	ADJ
cana-6128	8	3	objective	objective	NOUN
cana-6128	8	4	is	be	AUX
cana-6128	8	5	to	to	PART
cana-6128	8	6	leverage	leverage	VERB
cana-6128	8	7	sentiment	sentiment	NOUN
cana-6128	8	8	analysis	analysis	NOUN
cana-6128	8	9	techniques	technique	NOUN
cana-6128	8	10	to	to	PART
cana-6128	8	11	accurately	accurately	ADV
cana-6128	8	12	identify	identify	VERB
cana-6128	8	13	and	and	CCONJ
cana-6128	8	14	categorize	categorize	VERB
cana-6128	8	15	aggressive	aggressive	ADJ
cana-6128	8	16	sentiment	sentiment	NOUN
cana-6128	8	17	indicative	indicative	ADJ
cana-6128	8	18	of	of	ADP
cana-6128	8	19	cyberbullying	cyberbullye	VERB
cana-6128	8	20	within	within	ADP
cana-6128	8	21	social	social	ADJ
cana-6128	8	22	media	medium	NOUN
cana-6128	8	23	interactions	interaction	NOUN
cana-6128	8	24	,	,	PUNCT
cana-6128	8	25	thereby	thereby	ADV
cana-6128	8	26	contributing	contribute	VERB
cana-6128	8	27	to	to	PART
cana-6128	8	28	safer	safe	ADJ
cana-6128	8	29	online	online	ADJ
cana-6128	8	30	environments	environment	NOUN
cana-6128	8	31	.	.	PUNCT
cana-6128	9	1	through	through	ADP
cana-6128	9	2	the	the	DET
cana-6128	9	3	initial	initial	ADJ
cana-6128	9	4	application	application	NOUN
cana-6128	9	5	of	of	ADP
cana-6128	9	6	advanced	advanced	ADJ
cana-6128	9	7	vectorization	vectorization	NOUN
cana-6128	9	8	techniques	technique	NOUN
cana-6128	9	9	and	and	CCONJ
cana-6128	9	10	rigorous	rigorous	ADJ
cana-6128	9	11	cross	cross	ADJ
cana-6128	9	12	-	-	ADJ
cana-6128	9	13	validation	validation	ADJ
cana-6128	9	14	methods	method	NOUN
cana-6128	9	15	,	,	PUNCT
cana-6128	9	16	models	model	NOUN
cana-6128	9	17	were	be	AUX
cana-6128	9	18	evaluated	evaluate	VERB
cana-6128	9	19	using	use	VERB
cana-6128	9	20	the	the	DET
cana-6128	9	21	f1	f1	NOUN
cana-6128	9	22	-	-	PUNCT
cana-6128	9	23	score	score	NOUN
cana-6128	9	24	.	.	PUNCT
cana-6128	10	1	a	a	DET
cana-6128	10	2	critical	critical	ADJ
cana-6128	10	3	phase	phase	NOUN
cana-6128	10	4	involved	involve	VERB
cana-6128	10	5	a	a	DET
cana-6128	10	6	detailed	detailed	ADJ
cana-6128	10	7	misclassification	misclassification	NOUN
cana-6128	10	8	analysis	analysis	NOUN
cana-6128	10	9	of	of	ADP
cana-6128	10	10	initially	initially	ADV
cana-6128	10	11	top	top	ADV
cana-6128	10	12	-	-	PUNCT
cana-6128	10	13	performing	perform	VERB
cana-6128	10	14	models	model	NOUN
cana-6128	10	15	,	,	PUNCT
cana-6128	10	16	identifying	identify	VERB
cana-6128	10	17	18	18	NUM
cana-6128	10	18	specific	specific	ADJ
cana-6128	10	19	instances	instance	NOUN
cana-6128	10	20	where	where	SCONJ
cana-6128	10	21	sentiment	sentiment	NOUN
cana-6128	10	22	interpretation	interpretation	NOUN
cana-6128	10	23	failed	fail	VERB
cana-6128	10	24	.	.	PUNCT
cana-6128	11	1	this	this	DET
cana-6128	11	2	analysis	analysis	NOUN
cana-6128	11	3	informed	inform	VERB
cana-6128	11	4	the	the	DET
cana-6128	11	5	engineering	engineering	NOUN
cana-6128	11	6	of	of	ADP
cana-6128	11	7	new	new	ADJ
cana-6128	11	8	sentiment	sentiment	NOUN
cana-6128	11	9	-	-	PUNCT
cana-6128	11	10	driven	drive	VERB
cana-6128	11	11	features	feature	NOUN
cana-6128	11	12	,	,	PUNCT
cana-6128	11	13	which	which	PRON
cana-6128	11	14	were	be	AUX
cana-6128	11	15	subsequently	subsequently	ADV
cana-6128	11	16	integrated	integrate	VERB
cana-6128	11	17	to	to	PART
cana-6128	11	18	refine	refine	VERB
cana-6128	11	19	model	model	NOUN
cana-6128	11	20	performance	performance	NOUN
cana-6128	11	21	.	.	PUNCT
cana-6128	12	1	this	this	DET
cana-6128	12	2	systematic	systematic	ADJ
cana-6128	12	3	approach	approach	NOUN
cana-6128	12	4	ultimately	ultimately	ADV
cana-6128	12	5	culminated	culminate	VERB
cana-6128	12	6	in	in	ADP
cana-6128	12	7	the	the	DET
cana-6128	12	8	identification	identification	NOUN
cana-6128	12	9	of	of	ADP
cana-6128	12	10	extreme	extreme	ADJ
cana-6128	12	11	gradient	gradient	NOUN
cana-6128	12	12	boosting	boosting	NOUN
cana-6128	12	13	,	,	PUNCT
cana-6128	12	14	when	when	SCONJ
cana-6128	12	15	combined	combine	VERB
cana-6128	12	16	with	with	ADP
cana-6128	12	17	a	a	DET
cana-6128	12	18	count	count	NOUN
cana-6128	12	19	vectorizer	vectorizer	NOUN
cana-6128	12	20	and	and	CCONJ
cana-6128	12	21	stratified	stratify	VERB
cana-6128	12	22	shuffle	shuffle	NOUN
cana-6128	12	23	split	split	NOUN
cana-6128	12	24	,	,	PUNCT
cana-6128	12	25	as	as	ADP
cana-6128	12	26	the	the	DET
cana-6128	12	27	superior	superior	ADJ
cana-6128	12	28	model	model	NOUN
cana-6128	12	29	.	.	PUNCT
cana-6128	13	1	after	after	ADP
cana-6128	13	2	optimization	optimization	NOUN
cana-6128	13	3	through	through	ADP
cana-6128	13	4	iterative	iterative	ADJ
cana-6128	13	5	misclassification	misclassification	NOUN
cana-6128	13	6	analysis	analysis	NOUN
cana-6128	13	7	and	and	CCONJ
cana-6128	13	8	feature	feature	NOUN
cana-6128	13	9	engineering	engineering	NOUN
cana-6128	13	10	,	,	PUNCT
cana-6128	13	11	this	this	DET
cana-6128	13	12	model	model	NOUN
cana-6128	13	13	achieved	achieve	VERB
cana-6128	13	14	an	an	DET
cana-6128	13	15	f1	f1	NOUN
cana-6128	13	16	-	-	PUNCT
cana-6128	13	17	score	score	NOUN
cana-6128	13	18	of	of	ADP
cana-6128	13	19	approximately	approximately	ADV
cana-6128	13	20	0.833	0.833	NUM
cana-6128	13	21	,	,	PUNCT
cana-6128	13	22	representing	represent	VERB
cana-6128	13	23	a	a	DET
cana-6128	13	24	notable	notable	ADJ
cana-6128	13	25	improvement	improvement	NOUN
cana-6128	13	26	in	in	ADP
cana-6128	13	27	discerning	discern	VERB
cana-6128	13	28	aggressive	aggressive	ADJ
cana-6128	13	29	sentiment	sentiment	NOUN
cana-6128	13	30	.	.	PUNCT
cana-6128	14	1	this	this	DET
cana-6128	14	2	enhanced	enhance	VERB
cana-6128	14	3	performance	performance	NOUN
cana-6128	14	4	underscores	underscore	VERB
cana-6128	14	5	the	the	DET
cana-6128	14	6	profound	profound	ADJ
cana-6128	14	7	potential	potential	NOUN
cana-6128	14	8	of	of	ADP
cana-6128	14	9	machine	machine	NOUN
cana-6128	14	10	learning	learning	NOUN
cana-6128	14	11	,	,	PUNCT
cana-6128	14	12	particularly	particularly	ADV
cana-6128	14	13	through	through	ADP
cana-6128	14	14	refined	refined	ADJ
cana-6128	14	15	sentiment	sentiment	NOUN
cana-6128	14	16	analysis	analysis	NOUN
cana-6128	14	17	,	,	PUNCT
cana-6128	14	18	in	in	ADP
cana-6128	14	19	addressing	address	VERB
cana-6128	14	20	the	the	DET
cana-6128	14	21	complex	complex	ADJ
cana-6128	14	22	and	and	CCONJ
cana-6128	14	23	pervasive	pervasive	ADJ
cana-6128	14	24	issue	issue	NOUN
cana-6128	14	25	of	of	ADP
cana-6128	14	26	cyberbullying	cyberbullye	VERB
cana-6128	14	27	by	by	ADP
cana-6128	14	28	effectively	effectively	ADV
cana-6128	14	29	analyzing	analyze	VERB
cana-6128	14	30	the	the	DET
cana-6128	14	31	emotional	emotional	ADJ
cana-6128	14	32	nuances	nuance	NOUN
cana-6128	14	33	embedded	embed	VERB
cana-6128	14	34	in	in	ADP
cana-6128	14	35	textual	textual	ADJ
cana-6128	14	36	data	datum	NOUN
cana-6128	14	37	.	.	PUNCT
cana-6128	15	1	keywords	keyword	NOUN
cana-6128	15	2	-	-	PUNCT
cana-6128	15	3	cyberbullying	cyberbullying	NOUN
cana-6128	15	4	,	,	PUNCT
cana-6128	15	5	machine	machine	NOUN
cana-6128	15	6	learning	learning	NOUN
cana-6128	15	7	,	,	PUNCT
cana-6128	15	8	text	text	NOUN
cana-6128	15	9	classification	classification	NOUN
cana-6128	15	10	,	,	PUNCT
cana-6128	15	11	logistic	logistic	ADJ
cana-6128	15	12	regression	regression	NOUN
cana-6128	15	13	,	,	PUNCT
cana-6128	15	14	count	count	NOUN
cana-6128	15	15	vectorizer	vectorizer	NOUN
cana-6128	15	16	,	,	PUNCT
cana-6128	15	17	sentiment	sentiment	NOUN
cana-6128	15	18	analysis	analysis	NOUN
cana-6128	15	19	,	,	PUNCT
cana-6128	15	20	f1	f1	NOUN
cana-6128	15	21	-	-	PUNCT
cana-6128	15	22	score	score	NOUN
cana-6128	15	23	,	,	PUNCT
cana-6128	15	24	xgboost	xgboost	PROPN
cana-6128	15	25	.	.	PUNCT
cana-6128	16	1	mailto:dhanroopmalnagar@gmail.com	mailto:dhanroopmalnagar@gmail.com	PROPN
cana-6128	16	2	mailto:narpatsingh67@gmail.com	mailto:narpatsingh67@gmail.com	PROPN
cana-6128	16	3	communications	communication	NOUN
cana-6128	16	4	on	on	ADP
cana-6128	16	5	applied	apply	VERB
cana-6128	16	6	nonlinear	nonlinear	ADJ
cana-6128	16	7	analysis	analysis	NOUN
cana-6128	16	8	issn	issn	NOUN
cana-6128	16	9	:	:	PUNCT
cana-6128	16	10	1074	1074	NUM
cana-6128	16	11	-	-	PUNCT
cana-6128	16	12	133x	133x	NUM
cana-6128	16	13	vol	vol	NOUN
cana-6128	16	14	32	32	NUM
cana-6128	16	15	no	no	NOUN
cana-6128	16	16	.	.	PUNCT
cana-6128	17	1	6s	6s	NUM
cana-6128	17	2	(	(	PUNCT
cana-6128	17	3	2025	2025	NUM
cana-6128	17	4	)	)	PUNCT
cana-6128	17	5	605	605	NUM
cana-6128	18	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	18	2	introduction	introduction	NOUN
cana-6128	18	3	cyberbullying	cyberbullye	VERB
cana-6128	18	4	is	be	AUX
cana-6128	18	5	one	one	NUM
cana-6128	18	6	of	of	ADP
cana-6128	18	7	the	the	DET
cana-6128	18	8	pressing	press	VERB
cana-6128	18	9	problems	problem	NOUN
cana-6128	18	10	in	in	ADP
cana-6128	18	11	this	this	DET
cana-6128	18	12	digital	digital	ADJ
cana-6128	18	13	era	era	NOUN
cana-6128	18	14	and	and	CCONJ
cana-6128	18	15	there	there	PRON
cana-6128	18	16	is	be	VERB
cana-6128	18	17	a	a	DET
cana-6128	18	18	need	need	NOUN
cana-6128	18	19	to	to	PART
cana-6128	18	20	develop	develop	VERB
cana-6128	18	21	accurate	accurate	ADJ
cana-6128	18	22	detection	detection	NOUN
cana-6128	18	23	systems	system	NOUN
cana-6128	18	24	as	as	ADP
cana-6128	18	25	preventive	preventive	ADJ
cana-6128	18	26	measures	measure	NOUN
cana-6128	18	27	to	to	PART
cana-6128	18	28	help	help	VERB
cana-6128	18	29	mitigate	mitigate	VERB
cana-6128	18	30	its	its	PRON
cana-6128	18	31	effects	effect	NOUN
cana-6128	18	32	on	on	ADP
cana-6128	18	33	individuals	individual	NOUN
cana-6128	18	34	and	and	CCONJ
cana-6128	18	35	communities	community	NOUN
cana-6128	18	36	(	(	PUNCT
cana-6128	18	37	ostayeva	ostayeva	PROPN
cana-6128	18	38	et	et	PROPN
cana-6128	18	39	al	al	PROPN
cana-6128	18	40	.	.	PROPN
cana-6128	18	41	,	,	PUNCT
cana-6128	18	42	2024	2024	NUM
cana-6128	18	43	)	)	PUNCT
cana-6128	18	44	.	.	PUNCT
cana-6128	19	1	sentiment	sentiment	NOUN
cana-6128	19	2	analysis	analysis	NOUN
cana-6128	19	3	,	,	PUNCT
cana-6128	19	4	an	an	DET
cana-6128	19	5	nlp	nlp	NOUN
cana-6128	19	6	subtask	subtask	NOUN
cana-6128	19	7	,	,	PUNCT
cana-6128	19	8	is	be	AUX
cana-6128	19	9	a	a	DET
cana-6128	19	10	computational	computational	ADJ
cana-6128	19	11	method	method	NOUN
cana-6128	19	12	which	which	PRON
cana-6128	19	13	contains	contain	VERB
cana-6128	19	14	a	a	DET
cana-6128	19	15	high	high	ADJ
cana-6128	19	16	algorithmic	algorithmic	ADJ
cana-6128	19	17	relevance	relevance	NOUN
cana-6128	19	18	,	,	PUNCT
cana-6128	19	19	useful	useful	ADJ
cana-6128	19	20	to	to	PART
cana-6128	19	21	detect	detect	VERB
cana-6128	19	22	,	,	PUNCT
cana-6128	19	23	extract	extract	VERB
cana-6128	19	24	or	or	CCONJ
cana-6128	19	25	quantify	quantify	VERB
cana-6128	19	26	subjective	subjective	ADJ
cana-6128	19	27	information	information	NOUN
cana-6128	19	28	from	from	ADP
cana-6128	19	29	the	the	DET
cana-6128	19	30	text	text	NOUN
cana-6128	19	31	,	,	PUNCT
cana-6128	19	32	such	such	ADJ
cana-6128	19	33	that	that	SCONJ
cana-6128	19	34	it	it	PRON
cana-6128	19	35	is	be	AUX
cana-6128	19	36	applicable	applicable	ADJ
cana-6128	19	37	for	for	ADP
cana-6128	19	38	detection	detection	NOUN
cana-6128	19	39	and	and	CCONJ
cana-6128	19	40	analysis	analysis	NOUN
cana-6128	19	41	of	of	ADP
cana-6128	19	42	aggressive	aggressive	ADJ
cana-6128	19	43	or	or	CCONJ
cana-6128	19	44	harmful	harmful	ADJ
cana-6128	19	45	intent	intent	NOUN
cana-6128	19	46	in	in	ADP
cana-6128	19	47	electronic	electronic	ADJ
cana-6128	19	48	messages	message	NOUN
cana-6128	19	49	(	(	PUNCT
cana-6128	19	50	nina	nina	NOUN
cana-6128	19	51	-	-	PROPN
cana-6128	19	52	gutiérrez	gutiérrez	PROPN
cana-6128	19	53	et	et	PROPN
cana-6128	19	54	al	al	PROPN
cana-6128	19	55	.	.	PROPN
cana-6128	19	56	,	,	PUNCT
cana-6128	19	57	2024	2024	NUM
cana-6128	19	58	)	)	PUNCT
cana-6128	19	59	.	.	PUNCT
cana-6128	20	1	thus	thus	ADV
cana-6128	20	2	,	,	PUNCT
cana-6128	20	3	this	this	DET
cana-6128	20	4	study	study	NOUN
cana-6128	20	5	aims	aim	VERB
cana-6128	20	6	to	to	PART
cana-6128	20	7	apply	apply	VERB
cana-6128	20	8	and	and	CCONJ
cana-6128	20	9	evaluate	evaluate	VERB
cana-6128	20	10	several	several	ADJ
cana-6128	20	11	machine	machine	NOUN
cana-6128	20	12	learning	learning	NOUN
cana-6128	20	13	models	model	NOUN
cana-6128	20	14	for	for	ADP
cana-6128	20	15	sentiment	sentiment	NOUN
cana-6128	20	16	analysis	analysis	NOUN
cana-6128	20	17	to	to	PART
cana-6128	20	18	determine	determine	VERB
cana-6128	20	19	bully	bully	NOUN
cana-6128	20	20	tweets	tweet	NOUN
cana-6128	20	21	accurately	accurately	ADV
cana-6128	20	22	to	to	PART
cana-6128	20	23	expand	expand	VERB
cana-6128	20	24	the	the	DET
cana-6128	20	25	effort	effort	NOUN
cana-6128	20	26	towards	towards	ADP
cana-6128	20	27	developing	develop	VERB
cana-6128	20	28	a	a	DET
cana-6128	20	29	more	more	ADV
cana-6128	20	30	secure	secure	ADJ
cana-6128	20	31	atmosphere	atmosphere	NOUN
cana-6128	20	32	on	on	ADP
cana-6128	20	33	the	the	DET
cana-6128	20	34	internet	internet	NOUN
cana-6128	20	35	(	(	PUNCT
cana-6128	20	36	ostayeva	ostayeva	PROPN
cana-6128	20	37	et	et	PROPN
cana-6128	20	38	al	al	PROPN
cana-6128	20	39	.	.	PROPN
cana-6128	20	40	,	,	PUNCT
cana-6128	20	41	2024	2024	NUM
cana-6128	20	42	)	)	PUNCT
cana-6128	20	43	.	.	PUNCT
cana-6128	21	1	1	1	X
cana-6128	21	2	.	.	X
cana-6128	21	3	cyberbullying	cyberbullye	VERB
cana-6128	21	4	cyberbullying	cyberbullying	NOUN
cana-6128	21	5	is	be	AUX
cana-6128	21	6	characterized	characterize	VERB
cana-6128	21	7	by	by	ADP
cana-6128	21	8	repetitive	repetitive	ADJ
cana-6128	21	9	,	,	PUNCT
cana-6128	21	10	aggressive	aggressive	ADJ
cana-6128	21	11	behavior	behavior	NOUN
cana-6128	21	12	delivered	deliver	VERB
cana-6128	21	13	through	through	ADP
cana-6128	21	14	electronic	electronic	ADJ
cana-6128	21	15	means	mean	NOUN
cana-6128	21	16	,	,	PUNCT
cana-6128	21	17	encompassing	encompass	VERB
cana-6128	21	18	a	a	DET
cana-6128	21	19	wide	wide	ADJ
cana-6128	21	20	range	range	NOUN
cana-6128	21	21	of	of	ADP
cana-6128	21	22	harmful	harmful	ADJ
cana-6128	21	23	online	online	ADJ
cana-6128	21	24	interactions	interaction	NOUN
cana-6128	21	25	such	such	ADJ
cana-6128	21	26	as	as	ADP
cana-6128	21	27	harassment	harassment	NOUN
cana-6128	21	28	,	,	PUNCT
cana-6128	21	29	denigration	denigration	NOUN
cana-6128	21	30	,	,	PUNCT
cana-6128	21	31	and	and	CCONJ
cana-6128	21	32	exclusion	exclusion	NOUN
cana-6128	21	33	.	.	PUNCT
cana-6128	22	1	the	the	DET
cana-6128	22	2	anonymity	anonymity	NOUN
cana-6128	22	3	and	and	CCONJ
cana-6128	22	4	widespread	widespread	ADJ
cana-6128	22	5	reach	reach	NOUN
cana-6128	22	6	of	of	ADP
cana-6128	22	7	digital	digital	ADJ
cana-6128	22	8	platforms	platform	NOUN
cana-6128	22	9	often	often	ADV
cana-6128	22	10	amplify	amplify	VERB
cana-6128	22	11	the	the	DET
cana-6128	22	12	impact	impact	NOUN
cana-6128	22	13	of	of	ADP
cana-6128	22	14	such	such	ADJ
cana-6128	22	15	behaviors	behavior	NOUN
cana-6128	22	16	,	,	PUNCT
cana-6128	22	17	making	make	VERB
cana-6128	22	18	their	their	PRON
cana-6128	22	19	detection	detection	NOUN
cana-6128	22	20	through	through	ADP
cana-6128	22	21	automated	automate	VERB
cana-6128	22	22	sentiment	sentiment	NOUN
cana-6128	22	23	analysis	analysis	NOUN
cana-6128	22	24	crucial	crucial	ADJ
cana-6128	22	25	for	for	ADP
cana-6128	22	26	timely	timely	ADJ
cana-6128	22	27	intervention	intervention	NOUN
cana-6128	22	28	and	and	CCONJ
cana-6128	22	29	support	support	NOUN
cana-6128	22	30	(	(	PUNCT
cana-6128	22	31	li	li	PROPN
cana-6128	22	32	et	et	PROPN
cana-6128	22	33	al	al	PROPN
cana-6128	22	34	.	.	PROPN
cana-6128	22	35	,	,	PUNCT
cana-6128	22	36	2024	2024	NUM
cana-6128	22	37	)	)	PUNCT
cana-6128	22	38	.	.	PUNCT
cana-6128	23	1	2	2	X
cana-6128	23	2	.	.	NOUN
cana-6128	23	3	sentiment	sentiment	NOUN
cana-6128	23	4	analysis	analysis	NOUN
cana-6128	23	5	sentiment	sentiment	NOUN
cana-6128	23	6	analysis	analysis	NOUN
cana-6128	23	7	,	,	PUNCT
cana-6128	23	8	also	also	ADV
cana-6128	23	9	known	know	VERB
cana-6128	23	10	as	as	ADP
cana-6128	23	11	opinion	opinion	NOUN
cana-6128	23	12	mining	mining	NOUN
cana-6128	23	13	,	,	PUNCT
cana-6128	23	14	employs	employ	VERB
cana-6128	23	15	computational	computational	ADJ
cana-6128	23	16	linguistics	linguistic	NOUN
cana-6128	23	17	and	and	CCONJ
cana-6128	23	18	natural	natural	ADJ
cana-6128	23	19	language	language	NOUN
cana-6128	23	20	processing	processing	NOUN
cana-6128	23	21	to	to	PART
cana-6128	23	22	systematically	systematically	ADV
cana-6128	23	23	identify	identify	VERB
cana-6128	23	24	,	,	PUNCT
cana-6128	23	25	extract	extract	VERB
cana-6128	23	26	,	,	PUNCT
cana-6128	23	27	quantify	quantify	ADJ
cana-6128	23	28	,	,	PUNCT
cana-6128	23	29	and	and	CCONJ
cana-6128	23	30	study	study	VERB
cana-6128	23	31	affective	affective	ADJ
cana-6128	23	32	states	state	NOUN
cana-6128	23	33	and	and	CCONJ
cana-6128	23	34	subjective	subjective	ADJ
cana-6128	23	35	information	information	NOUN
cana-6128	23	36	.	.	PUNCT
cana-6128	24	1	this	this	DET
cana-6128	24	2	process	process	NOUN
cana-6128	24	3	extends	extend	VERB
cana-6128	24	4	beyond	beyond	ADP
cana-6128	24	5	mere	mere	ADJ
cana-6128	24	6	polarity	polarity	NOUN
cana-6128	24	7	classification	classification	NOUN
cana-6128	24	8	,	,	PUNCT
cana-6128	24	9	delving	delve	VERB
cana-6128	24	10	into	into	ADP
cana-6128	24	11	the	the	DET
cana-6128	24	12	nuances	nuance	NOUN
cana-6128	24	13	of	of	ADP
cana-6128	24	14	emotional	emotional	ADJ
cana-6128	24	15	expression	expression	NOUN
cana-6128	24	16	,	,	PUNCT
cana-6128	24	17	sarcasm	sarcasm	NOUN
cana-6128	24	18	,	,	PUNCT
cana-6128	24	19	and	and	CCONJ
cana-6128	24	20	implicit	implicit	ADJ
cana-6128	24	21	aggression	aggression	NOUN
cana-6128	24	22	within	within	ADP
cana-6128	24	23	textual	textual	ADJ
cana-6128	24	24	data	datum	NOUN
cana-6128	24	25	.	.	PUNCT
cana-6128	25	1	for	for	ADP
cana-6128	25	2	the	the	DET
cana-6128	25	3	purpose	purpose	NOUN
cana-6128	25	4	of	of	ADP
cana-6128	25	5	bully	bully	PROPN
cana-6128	25	6	tweet	tweet	PROPN
cana-6128	25	7	detection	detection	NOUN
cana-6128	25	8	,	,	PUNCT
cana-6128	25	9	sentiment	sentiment	NOUN
cana-6128	25	10	analysis	analysis	NOUN
cana-6128	25	11	shifts	shift	NOUN
cana-6128	25	12	its	its	PRON
cana-6128	25	13	focus	focus	NOUN
cana-6128	25	14	to	to	ADP
cana-6128	25	15	identifying	identify	VERB
cana-6128	25	16	negative	negative	ADJ
cana-6128	25	17	sentiments	sentiment	NOUN
cana-6128	25	18	that	that	PRON
cana-6128	25	19	indicate	indicate	VERB
cana-6128	25	20	direct	direct	ADJ
cana-6128	25	21	or	or	CCONJ
cana-6128	25	22	indirect	indirect	ADJ
cana-6128	25	23	aggressive	aggressive	ADJ
cana-6128	25	24	intent	intent	NOUN
cana-6128	25	25	,	,	PUNCT
cana-6128	25	26	rather	rather	ADV
cana-6128	25	27	than	than	ADP
cana-6128	25	28	general	general	ADJ
cana-6128	25	29	positive	positive	ADJ
cana-6128	25	30	or	or	CCONJ
cana-6128	25	31	negative	negative	ADJ
cana-6128	25	32	opinions	opinion	NOUN
cana-6128	25	33	.	.	PUNCT
cana-6128	26	1	relation	relation	NOUN
cana-6128	26	2	between	between	ADP
cana-6128	26	3	cyberbullying	cyberbullye	VERB
cana-6128	26	4	&	&	CCONJ
cana-6128	26	5	sentiment	sentiment	NOUN
cana-6128	26	6	analysis	analysis	NOUN
cana-6128	26	7	the	the	DET
cana-6128	26	8	application	application	NOUN
cana-6128	26	9	of	of	ADP
cana-6128	26	10	sentiment	sentiment	NOUN
cana-6128	26	11	analysis	analysis	NOUN
cana-6128	26	12	within	within	ADP
cana-6128	26	13	the	the	DET
cana-6128	26	14	domain	domain	NOUN
cana-6128	26	15	of	of	ADP
cana-6128	26	16	cyberbullying	cyberbullye	VERB
cana-6128	26	17	detection	detection	NOUN
cana-6128	26	18	represents	represent	VERB
cana-6128	26	19	a	a	DET
cana-6128	26	20	critical	critical	ADJ
cana-6128	26	21	area	area	NOUN
cana-6128	26	22	of	of	ADP
cana-6128	26	23	contemporary	contemporary	ADJ
cana-6128	26	24	research	research	NOUN
cana-6128	26	25	,	,	PUNCT
cana-6128	26	26	driven	drive	VERB
cana-6128	26	27	by	by	ADP
cana-6128	26	28	the	the	DET
cana-6128	26	29	escalating	escalate	VERB
cana-6128	26	30	prevalence	prevalence	NOUN
cana-6128	26	31	and	and	CCONJ
cana-6128	26	32	detrimental	detrimental	ADJ
cana-6128	26	33	impact	impact	NOUN
cana-6128	26	34	of	of	ADP
cana-6128	26	35	online	online	ADJ
cana-6128	26	36	harassment	harassment	NOUN
cana-6128	26	37	.	.	PUNCT
cana-6128	27	1	cyberbullying	cyberbullye	VERB
cana-6128	27	2	,	,	PUNCT
cana-6128	27	3	characterized	characterize	VERB
cana-6128	27	4	by	by	ADP
cana-6128	27	5	repetitive	repetitive	ADJ
cana-6128	27	6	,	,	PUNCT
cana-6128	27	7	aggressive	aggressive	ADJ
cana-6128	27	8	behaviors	behavior	NOUN
cana-6128	27	9	enacted	enact	VERB
cana-6128	27	10	through	through	ADP
cana-6128	27	11	electronic	electronic	ADJ
cana-6128	27	12	mediums	medium	NOUN
cana-6128	27	13	,	,	PUNCT
cana-6128	27	14	encompasses	encompass	VERB
cana-6128	27	15	a	a	DET
cana-6128	27	16	spectrum	spectrum	NOUN
cana-6128	27	17	of	of	ADP
cana-6128	27	18	harmful	harmful	ADJ
cana-6128	27	19	online	online	ADJ
cana-6128	27	20	interactions	interaction	NOUN
cana-6128	27	21	,	,	PUNCT
cana-6128	27	22	including	include	VERB
cana-6128	27	23	harassment	harassment	NOUN
cana-6128	27	24	,	,	PUNCT
cana-6128	27	25	denigration	denigration	NOUN
cana-6128	27	26	,	,	PUNCT
cana-6128	27	27	and	and	CCONJ
cana-6128	27	28	social	social	ADJ
cana-6128	27	29	exclusion	exclusion	NOUN
cana-6128	27	30	.	.	PUNCT
cana-6128	28	1	the	the	DET
cana-6128	28	2	inherent	inherent	ADJ
cana-6128	28	3	anonymity	anonymity	NOUN
cana-6128	28	4	and	and	CCONJ
cana-6128	28	5	extensive	extensive	ADJ
cana-6128	28	6	reach	reach	NOUN
cana-6128	28	7	of	of	ADP
cana-6128	28	8	digital	digital	ADJ
cana-6128	28	9	platforms	platform	NOUN
cana-6128	28	10	amplify	amplify	VERB
cana-6128	28	11	the	the	DET
cana-6128	28	12	psychological	psychological	ADJ
cana-6128	28	13	and	and	CCONJ
cana-6128	28	14	social	social	ADJ
cana-6128	28	15	ramifications	ramification	NOUN
cana-6128	28	16	of	of	ADP
cana-6128	28	17	these	these	DET
cana-6128	28	18	behaviors	behavior	NOUN
cana-6128	28	19	,	,	PUNCT
cana-6128	28	20	underscoring	underscore	VERB
cana-6128	28	21	the	the	DET
cana-6128	28	22	urgent	urgent	ADJ
cana-6128	28	23	need	need	NOUN
cana-6128	28	24	for	for	ADP
cana-6128	28	25	robust	robust	ADJ
cana-6128	28	26	,	,	PUNCT
cana-6128	28	27	automated	automated	ADJ
cana-6128	28	28	detection	detection	NOUN
cana-6128	28	29	and	and	CCONJ
cana-6128	28	30	intervention	intervention	NOUN
cana-6128	28	31	mechanisms	mechanism	NOUN
cana-6128	28	32	.	.	PUNCT
cana-6128	29	1	sentiment	sentiment	NOUN
cana-6128	29	2	analysis	analysis	NOUN
cana-6128	29	3	,	,	PUNCT
cana-6128	29	4	a	a	DET
cana-6128	29	5	specialized	specialized	ADJ
cana-6128	29	6	subfield	subfield	NOUN
cana-6128	29	7	of	of	ADP
cana-6128	29	8	natural	natural	ADJ
cana-6128	29	9	language	language	NOUN
cana-6128	29	10	processing	processing	NOUN
cana-6128	29	11	,	,	PUNCT
cana-6128	29	12	provides	provide	VERB
cana-6128	29	13	a	a	DET
cana-6128	29	14	powerful	powerful	ADJ
cana-6128	29	15	computational	computational	ADJ
cana-6128	29	16	framework	framework	NOUN
cana-6128	29	17	for	for	ADP
cana-6128	29	18	systematically	systematically	ADV
cana-6128	29	19	identifying	identify	VERB
cana-6128	29	20	,	,	PUNCT
cana-6128	29	21	extracting	extract	VERB
cana-6128	29	22	,	,	PUNCT
cana-6128	29	23	quantifying	quantifying	NOUN
cana-6128	29	24	,	,	PUNCT
cana-6128	29	25	and	and	CCONJ
cana-6128	29	26	studying	study	VERB
cana-6128	29	27	affective	affective	ADJ
cana-6128	29	28	states	state	NOUN
cana-6128	29	29	and	and	CCONJ
cana-6128	29	30	subjective	subjective	ADJ
cana-6128	29	31	information	information	NOUN
cana-6128	29	32	embedded	embed	VERB
cana-6128	29	33	within	within	ADP
cana-6128	29	34	textual	textual	ADJ
cana-6128	29	35	data	datum	NOUN
cana-6128	29	36	.	.	PUNCT
cana-6128	30	1	our	our	PRON
cana-6128	30	2	communications	communication	NOUN
cana-6128	30	3	on	on	ADP
cana-6128	30	4	applied	apply	VERB
cana-6128	30	5	nonlinear	nonlinear	ADJ
cana-6128	30	6	analysis	analysis	NOUN
cana-6128	30	7	issn	issn	NOUN
cana-6128	30	8	:	:	PUNCT
cana-6128	30	9	1074	1074	NUM
cana-6128	30	10	-	-	PUNCT
cana-6128	30	11	133x	133x	NUM
cana-6128	30	12	vol	vol	NOUN
cana-6128	30	13	32	32	NUM
cana-6128	30	14	no	no	NOUN
cana-6128	30	15	.	.	PUNCT
cana-6128	31	1	6s	6s	NUM
cana-6128	31	2	(	(	PUNCT
cana-6128	31	3	2025	2025	NUM
cana-6128	31	4	)	)	PUNCT
cana-6128	31	5	606	606	NUM
cana-6128	31	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	31	7	research	research	NOUN
cana-6128	31	8	investigates	investigate	VERB
cana-6128	31	9	the	the	DET
cana-6128	31	10	profound	profound	ADJ
cana-6128	31	11	relationship	relationship	NOUN
cana-6128	31	12	between	between	ADP
cana-6128	31	13	cyberbullying	cyberbullye	VERB
cana-6128	31	14	and	and	CCONJ
cana-6128	31	15	sentiment	sentiment	NOUN
cana-6128	31	16	analysis	analysis	NOUN
cana-6128	31	17	,	,	PUNCT
cana-6128	31	18	particularly	particularly	ADV
cana-6128	31	19	in	in	ADP
cana-6128	31	20	advancing	advance	VERB
cana-6128	31	21	automated	automate	VERB
cana-6128	31	22	detection	detection	NOUN
cana-6128	31	23	capabilities	capability	NOUN
cana-6128	31	24	.	.	PUNCT
cana-6128	32	1	key	key	ADJ
cana-6128	32	2	research	research	NOUN
cana-6128	32	3	aspects	aspect	NOUN
cana-6128	32	4	elucidating	elucidate	VERB
cana-6128	32	5	this	this	DET
cana-6128	32	6	relationship	relationship	NOUN
cana-6128	32	7	include	include	VERB
cana-6128	32	8	:	:	PUNCT
cana-6128	32	9	●	●	PUNCT
cana-6128	32	10	identification	identification	NOUN
cana-6128	32	11	of	of	ADP
cana-6128	32	12	malicious	malicious	ADJ
cana-6128	32	13	intent	intent	NOUN
cana-6128	32	14	and	and	CCONJ
cana-6128	32	15	emotional	emotional	ADJ
cana-6128	32	16	tone	tone	NOUN
cana-6128	32	17	:	:	PUNCT
cana-6128	32	18	the	the	DET
cana-6128	32	19	intrinsic	intrinsic	ADJ
cana-6128	32	20	link	link	NOUN
cana-6128	32	21	between	between	ADP
cana-6128	32	22	cyberbullying	cyberbullye	VERB
cana-6128	32	23	and	and	CCONJ
cana-6128	32	24	sentiment	sentiment	NOUN
cana-6128	32	25	analysis	analysis	NOUN
cana-6128	32	26	stems	stem	VERB
cana-6128	32	27	from	from	ADP
cana-6128	32	28	the	the	DET
cana-6128	32	29	latter	latter	NOUN
cana-6128	32	30	's	's	PART
cana-6128	32	31	ability	ability	NOUN
cana-6128	32	32	to	to	PART
cana-6128	32	33	reveal	reveal	VERB
cana-6128	32	34	the	the	DET
cana-6128	32	35	underlying	underlie	VERB
cana-6128	32	36	emotional	emotional	ADJ
cana-6128	32	37	tone	tone	NOUN
cana-6128	32	38	and	and	CCONJ
cana-6128	32	39	malicious	malicious	ADJ
cana-6128	32	40	intent	intent	NOUN
cana-6128	32	41	in	in	ADP
cana-6128	32	42	online	online	ADJ
cana-6128	32	43	communications	communication	NOUN
cana-6128	32	44	,	,	PUNCT
cana-6128	32	45	key	key	ADJ
cana-6128	32	46	characteristics	characteristic	NOUN
cana-6128	32	47	of	of	ADP
cana-6128	32	48	cyberbullying	cyberbullye	VERB
cana-6128	32	49	.	.	PUNCT
cana-6128	33	1	this	this	PRON
cana-6128	33	2	goes	go	VERB
cana-6128	33	3	beyond	beyond	ADP
cana-6128	33	4	simple	simple	ADJ
cana-6128	33	5	positive	positive	ADJ
cana-6128	33	6	/	/	SYM
cana-6128	33	7	negative	negative	ADJ
cana-6128	33	8	polarity	polarity	NOUN
cana-6128	33	9	,	,	PUNCT
cana-6128	33	10	focusing	focus	VERB
cana-6128	33	11	on	on	ADP
cana-6128	33	12	discerning	discern	VERB
cana-6128	33	13	negative	negative	ADJ
cana-6128	33	14	sentiments	sentiment	NOUN
cana-6128	33	15	indicative	indicative	ADJ
cana-6128	33	16	of	of	ADP
cana-6128	33	17	direct	direct	ADJ
cana-6128	33	18	or	or	CCONJ
cana-6128	33	19	indirect	indirect	ADJ
cana-6128	33	20	aggressive	aggressive	ADJ
cana-6128	33	21	intent	intent	NOUN
cana-6128	33	22	.	.	PUNCT
cana-6128	34	1	●	●	PUNCT
cana-6128	34	2	recognition	recognition	NOUN
cana-6128	34	3	of	of	ADP
cana-6128	34	4	subtle	subtle	ADJ
cana-6128	34	5	linguistic	linguistic	ADJ
cana-6128	34	6	cues	cue	NOUN
cana-6128	34	7	:	:	PUNCT
cana-6128	34	8	sentiment	sentiment	NOUN
cana-6128	34	9	analysis	analysis	NOUN
cana-6128	34	10	models	model	NOUN
cana-6128	34	11	recognize	recognize	VERB
cana-6128	34	12	nuanced	nuanced	ADJ
cana-6128	34	13	linguistic	linguistic	ADJ
cana-6128	34	14	cues	cue	NOUN
cana-6128	34	15	and	and	CCONJ
cana-6128	34	16	emotional	emotional	ADJ
cana-6128	34	17	valence	valence	NOUN
cana-6128	34	18	to	to	PART
cana-6128	34	19	differentiate	differentiate	VERB
cana-6128	34	20	general	general	ADJ
cana-6128	34	21	negative	negative	ADJ
cana-6128	34	22	expressions	expression	NOUN
cana-6128	34	23	from	from	ADP
cana-6128	34	24	targeted	target	VERB
cana-6128	34	25	aggression	aggression	NOUN
cana-6128	34	26	or	or	CCONJ
cana-6128	34	27	harassment	harassment	NOUN
cana-6128	34	28	,	,	PUNCT
cana-6128	34	29	vital	vital	ADJ
cana-6128	34	30	due	due	ADJ
cana-6128	34	31	to	to	ADP
cana-6128	34	32	cyberbullying	cyberbullye	VERB
cana-6128	34	33	's	's	PART
cana-6128	34	34	contextual	contextual	ADJ
cana-6128	34	35	complexities	complexity	NOUN
cana-6128	34	36	and	and	CCONJ
cana-6128	34	37	indirect	indirect	ADJ
cana-6128	34	38	language	language	NOUN
cana-6128	34	39	that	that	PRON
cana-6128	34	40	traditional	traditional	ADJ
cana-6128	34	41	methods	method	NOUN
cana-6128	34	42	might	might	AUX
cana-6128	34	43	miss	miss	VERB
cana-6128	34	44	(	(	PUNCT
cana-6128	34	45	salawu	salawu	NOUN
cana-6128	34	46	et	et	PROPN
cana-6128	34	47	al	al	PROPN
cana-6128	34	48	.	.	PROPN
cana-6128	34	49	,	,	PUNCT
cana-6128	34	50	2017	2017	NUM
cana-6128	34	51	)	)	PUNCT
cana-6128	34	52	.	.	PUNCT
cana-6128	35	1	●	●	PUNCT
cana-6128	35	2	application	application	NOUN
cana-6128	35	3	of	of	ADP
cana-6128	35	4	machine	machine	NOUN
cana-6128	35	5	learning	learning	NOUN
cana-6128	35	6	models	model	NOUN
cana-6128	35	7	:	:	PUNCT
cana-6128	35	8	research	research	NOUN
cana-6128	35	9	employs	employ	VERB
cana-6128	35	10	various	various	ADJ
cana-6128	35	11	machine	machine	NOUN
cana-6128	35	12	learning	learn	VERB
cana-6128	35	13	algorithms	algorithm	NOUN
cana-6128	35	14	,	,	PUNCT
cana-6128	35	15	including	include	VERB
cana-6128	35	16	support	support	NOUN
cana-6128	35	17	vector	vector	NOUN
cana-6128	35	18	machines	machine	NOUN
cana-6128	35	19	,	,	PUNCT
cana-6128	35	20	naïve	naïve	ADJ
cana-6128	35	21	bayes	bayes	NOUN
cana-6128	35	22	,	,	PUNCT
cana-6128	35	23	logistic	logistic	ADJ
cana-6128	35	24	regression	regression	NOUN
cana-6128	35	25	,	,	PUNCT
cana-6128	35	26	and	and	CCONJ
cana-6128	35	27	ensemble	ensemble	ADJ
cana-6128	35	28	methods	method	NOUN
cana-6128	35	29	,	,	PUNCT
cana-6128	35	30	to	to	PART
cana-6128	35	31	classify	classify	VERB
cana-6128	35	32	social	social	ADJ
cana-6128	35	33	media	medium	NOUN
cana-6128	35	34	content	content	NOUN
cana-6128	35	35	for	for	ADP
cana-6128	35	36	cyberbullying	cyberbullye	VERB
cana-6128	35	37	detection	detection	NOUN
cana-6128	35	38	.	.	PUNCT
cana-6128	36	1	these	these	DET
cana-6128	36	2	models	model	NOUN
cana-6128	36	3	utilize	utilize	VERB
cana-6128	36	4	advanced	advanced	ADJ
cana-6128	36	5	vectorization	vectorization	NOUN
cana-6128	36	6	and	and	CCONJ
cana-6128	36	7	rigorous	rigorous	ADJ
cana-6128	36	8	cross	cross	NOUN
cana-6128	36	9	-	-	NOUN
cana-6128	36	10	validation	validation	NOUN
cana-6128	36	11	to	to	PART
cana-6128	36	12	differentiate	differentiate	VERB
cana-6128	36	13	bullying	bullying	NOUN
cana-6128	36	14	from	from	ADP
cana-6128	36	15	general	general	ADJ
cana-6128	36	16	online	online	ADJ
cana-6128	36	17	interactions	interaction	NOUN
cana-6128	36	18	.	.	PUNCT
cana-6128	37	1	●	●	PUNCT
cana-6128	37	2	challenges	challenge	NOUN
cana-6128	37	3	in	in	ADP
cana-6128	37	4	automated	automated	ADJ
cana-6128	37	5	detection	detection	NOUN
cana-6128	37	6	:	:	PUNCT
cana-6128	37	7	despite	despite	SCONJ
cana-6128	37	8	significant	significant	ADJ
cana-6128	37	9	advancements	advancement	NOUN
cana-6128	37	10	,	,	PUNCT
cana-6128	37	11	automated	automate	VERB
cana-6128	37	12	cyberbullying	cyberbullye	VERB
cana-6128	37	13	detection	detection	NOUN
cana-6128	37	14	faces	face	VERB
cana-6128	37	15	challenges	challenge	NOUN
cana-6128	37	16	such	such	ADJ
cana-6128	37	17	as	as	ADP
cana-6128	37	18	modeling	model	VERB
cana-6128	37	19	natural	natural	ADJ
cana-6128	37	20	language	language	NOUN
cana-6128	37	21	variation	variation	NOUN
cana-6128	37	22	,	,	PUNCT
cana-6128	37	23	scarcity	scarcity	NOUN
cana-6128	37	24	of	of	ADP
cana-6128	37	25	annotated	annotate	VERB
cana-6128	37	26	datasets	dataset	NOUN
cana-6128	37	27	(	(	PUNCT
cana-6128	37	28	nina	nina	PROPN
cana-6128	37	29	-	-	PROPN
cana-6128	37	30	gutiérrez	gutiérrez	PROPN
cana-6128	37	31	et	et	PROPN
cana-6128	37	32	al	al	PROPN
cana-6128	37	33	.	.	PROPN
cana-6128	37	34	,	,	PUNCT
cana-6128	37	35	2024	2024	NUM
cana-6128	37	36	)	)	PUNCT
cana-6128	37	37	,	,	PUNCT
cana-6128	37	38	and	and	CCONJ
cana-6128	37	39	the	the	DET
cana-6128	37	40	evolving	evolve	VERB
cana-6128	37	41	nature	nature	NOUN
cana-6128	37	42	of	of	ADP
cana-6128	37	43	online	online	ADJ
cana-6128	37	44	language	language	NOUN
cana-6128	37	45	,	,	PUNCT
cana-6128	37	46	slang	slang	PROPN
cana-6128	37	47	,	,	PUNCT
cana-6128	37	48	and	and	CCONJ
cana-6128	37	49	sarcasm	sarcasm	NOUN
cana-6128	37	50	,	,	PUNCT
cana-6128	37	51	which	which	PRON
cana-6128	37	52	complicate	complicate	VERB
cana-6128	37	53	accurate	accurate	ADJ
cana-6128	37	54	sentiment	sentiment	NOUN
cana-6128	37	55	interpretation	interpretation	NOUN
cana-6128	37	56	(	(	PUNCT
cana-6128	37	57	emmery	emmery	NOUN
cana-6128	37	58	et	et	PROPN
cana-6128	37	59	al	al	PROPN
cana-6128	37	60	.	.	PROPN
cana-6128	37	61	,	,	PUNCT
cana-6128	37	62	2020	2020	NUM
cana-6128	37	63	)	)	PUNCT
cana-6128	37	64	.	.	PUNCT
cana-6128	38	1	●	●	PUNCT
cana-6128	38	2	contribution	contribution	NOUN
cana-6128	38	3	to	to	PART
cana-6128	38	4	safer	safer	VERB
cana-6128	38	5	online	online	ADJ
cana-6128	38	6	environments	environment	NOUN
cana-6128	38	7	:	:	PUNCT
cana-6128	38	8	by	by	ADP
cana-6128	38	9	analyzing	analyze	VERB
cana-6128	38	10	textual	textual	ADJ
cana-6128	38	11	sentiment	sentiment	NOUN
cana-6128	38	12	,	,	PUNCT
cana-6128	38	13	sentiment	sentiment	NOUN
cana-6128	38	14	analysis	analysis	NOUN
cana-6128	38	15	assists	assist	NOUN
cana-6128	38	16	machine	machine	NOUN
cana-6128	38	17	learning	learning	NOUN
cana-6128	38	18	models	model	NOUN
cana-6128	38	19	in	in	ADP
cana-6128	38	20	accurately	accurately	ADV
cana-6128	38	21	detecting	detect	VERB
cana-6128	38	22	bully	bully	NOUN
cana-6128	38	23	tweets	tweet	NOUN
cana-6128	38	24	(	(	PUNCT
cana-6128	38	25	ostayeva	ostayeva	PROPN
cana-6128	38	26	et	et	PROPN
cana-6128	38	27	al	al	PROPN
cana-6128	38	28	.	.	PROPN
cana-6128	38	29	,	,	PUNCT
cana-6128	38	30	2024	2024	NUM
cana-6128	38	31	)	)	PUNCT
cana-6128	38	32	,	,	PUNCT
cana-6128	38	33	specifically	specifically	ADV
cana-6128	38	34	by	by	ADP
cana-6128	38	35	differentiating	differentiate	VERB
cana-6128	38	36	general	general	ADJ
cana-6128	38	37	negative	negative	ADJ
cana-6128	38	38	expressions	expression	NOUN
cana-6128	38	39	from	from	ADP
cana-6128	38	40	targeted	target	VERB
cana-6128	38	41	aggression	aggression	NOUN
cana-6128	38	42	or	or	CCONJ
cana-6128	38	43	harassment	harassment	NOUN
cana-6128	38	44	(	(	PUNCT
cana-6128	38	45	salawu	salawu	NOUN
cana-6128	38	46	et	et	PROPN
cana-6128	38	47	al	al	PROPN
cana-6128	38	48	.	.	PROPN
cana-6128	38	49	,	,	PUNCT
cana-6128	38	50	2017	2017	NUM
cana-6128	38	51	)	)	PUNCT
cana-6128	38	52	,	,	PUNCT
cana-6128	38	53	thereby	thereby	ADV
cana-6128	38	54	fostering	foster	VERB
cana-6128	38	55	safer	safe	ADJ
cana-6128	38	56	online	online	ADJ
cana-6128	38	57	environments	environment	NOUN
cana-6128	38	58	(	(	PUNCT
cana-6128	38	59	ostayeva	ostayeva	PROPN
cana-6128	38	60	et	et	PROPN
cana-6128	38	61	al	al	PROPN
cana-6128	38	62	.	.	PROPN
cana-6128	38	63	,	,	PUNCT
cana-6128	38	64	2024	2024	NUM
cana-6128	38	65	)	)	PUNCT
cana-6128	38	66	.	.	PUNCT
cana-6128	39	1	in	in	ADP
cana-6128	39	2	conclusion	conclusion	NOUN
cana-6128	39	3	,	,	PUNCT
cana-6128	39	4	the	the	DET
cana-6128	39	5	integration	integration	NOUN
cana-6128	39	6	of	of	ADP
cana-6128	39	7	sentiment	sentiment	NOUN
cana-6128	39	8	analysis	analysis	NOUN
cana-6128	39	9	into	into	ADP
cana-6128	39	10	cyberbullying	cyberbullye	VERB
cana-6128	39	11	detection	detection	NOUN
cana-6128	39	12	research	research	NOUN
cana-6128	39	13	is	be	AUX
cana-6128	39	14	instrumental	instrumental	ADJ
cana-6128	39	15	for	for	ADP
cana-6128	39	16	developing	develop	VERB
cana-6128	39	17	sophisticated	sophisticated	ADJ
cana-6128	39	18	automated	automate	VERB
cana-6128	39	19	systems	system	NOUN
cana-6128	39	20	capable	capable	ADJ
cana-6128	39	21	of	of	ADP
cana-6128	39	22	identifying	identify	VERB
cana-6128	39	23	and	and	CCONJ
cana-6128	39	24	mitigating	mitigate	VERB
cana-6128	39	25	online	online	ADJ
cana-6128	39	26	aggression	aggression	NOUN
cana-6128	39	27	.	.	PUNCT
cana-6128	40	1	methodology	methodology	NOUN
cana-6128	40	2	our	our	PRON
cana-6128	40	3	methodology	methodology	NOUN
cana-6128	40	4	outlines	outline	VERB
cana-6128	40	5	a	a	DET
cana-6128	40	6	systematic	systematic	ADJ
cana-6128	40	7	approach	approach	NOUN
cana-6128	40	8	for	for	ADP
cana-6128	40	9	developing	develop	VERB
cana-6128	40	10	and	and	CCONJ
cana-6128	40	11	evaluating	evaluate	VERB
cana-6128	40	12	machine	machine	NOUN
cana-6128	40	13	learning	learning	NOUN
cana-6128	40	14	models	model	NOUN
cana-6128	40	15	tailored	tailor	VERB
cana-6128	40	16	for	for	ADP
cana-6128	40	17	sentiment	sentiment	NOUN
cana-6128	40	18	analysis	analysis	NOUN
cana-6128	40	19	in	in	ADP
cana-6128	40	20	the	the	DET
cana-6128	40	21	context	context	NOUN
cana-6128	40	22	of	of	ADP
cana-6128	40	23	cyberbullying	cyberbullye	VERB
cana-6128	40	24	detection	detection	NOUN
cana-6128	40	25	on	on	ADP
cana-6128	40	26	twitter	twitter	NOUN
cana-6128	40	27	data	data	PROPN
cana-6128	40	28	.	.	PUNCT
cana-6128	41	1	the	the	DET
cana-6128	41	2	overall	overall	ADJ
cana-6128	41	3	process	process	NOUN
cana-6128	41	4	involved	involve	VERB
cana-6128	41	5	data	datum	NOUN
cana-6128	41	6	acquisition	acquisition	NOUN
cana-6128	41	7	and	and	CCONJ
cana-6128	41	8	preprocessing	preprocessing	NOUN
cana-6128	41	9	,	,	PUNCT
cana-6128	41	10	feature	feature	NOUN
cana-6128	41	11	engineering	engineering	NOUN
cana-6128	41	12	grounded	ground	VERB
cana-6128	41	13	in	in	ADP
cana-6128	41	14	sentiment	sentiment	NOUN
cana-6128	41	15	-	-	PUNCT
cana-6128	41	16	driven	drive	VERB
cana-6128	41	17	representations	representation	NOUN
cana-6128	41	18	,	,	PUNCT
cana-6128	41	19	training	training	NOUN
cana-6128	41	20	and	and	CCONJ
cana-6128	41	21	evaluation	evaluation	NOUN
cana-6128	41	22	of	of	ADP
cana-6128	41	23	a	a	DET
cana-6128	41	24	communications	communication	NOUN
cana-6128	41	25	on	on	ADP
cana-6128	41	26	applied	apply	VERB
cana-6128	41	27	nonlinear	nonlinear	ADJ
cana-6128	41	28	analysis	analysis	NOUN
cana-6128	41	29	issn	issn	NOUN
cana-6128	41	30	:	:	PUNCT
cana-6128	41	31	1074	1074	NUM
cana-6128	41	32	-	-	PUNCT
cana-6128	41	33	133x	133x	NUM
cana-6128	41	34	vol	vol	NOUN
cana-6128	41	35	32	32	NUM
cana-6128	41	36	no	no	NOUN
cana-6128	41	37	.	.	PUNCT
cana-6128	42	1	6s	6s	NUM
cana-6128	42	2	(	(	PUNCT
cana-6128	42	3	2025	2025	NUM
cana-6128	42	4	)	)	PUNCT
cana-6128	42	5	607	607	NUM
cana-6128	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	42	7	diverse	diverse	ADJ
cana-6128	42	8	set	set	NOUN
cana-6128	42	9	of	of	ADP
cana-6128	42	10	machine	machine	NOUN
cana-6128	42	11	learning	learning	NOUN
cana-6128	42	12	algorithms	algorithm	NOUN
cana-6128	42	13	,	,	PUNCT
cana-6128	42	14	and	and	CCONJ
cana-6128	42	15	an	an	DET
cana-6128	42	16	iterative	iterative	NOUN
cana-6128	42	17	optimization	optimization	NOUN
cana-6128	42	18	phase	phase	NOUN
cana-6128	42	19	through	through	ADP
cana-6128	42	20	misclassification	misclassification	NOUN
cana-6128	42	21	analysis	analysis	NOUN
cana-6128	42	22	.	.	PUNCT
cana-6128	43	1	1	1	X
cana-6128	43	2	.	.	X
cana-6128	43	3	dataset	dataset	ADJ
cana-6128	43	4	acquisition	acquisition	NOUN
cana-6128	43	5	and	and	CCONJ
cana-6128	43	6	preprocessing	preprocesse	VERB
cana-6128	43	7	the	the	DET
cana-6128	43	8	foundation	foundation	NOUN
cana-6128	43	9	of	of	ADP
cana-6128	43	10	this	this	DET
cana-6128	43	11	research	research	NOUN
cana-6128	43	12	utilized	utilize	VERB
cana-6128	43	13	a	a	DET
cana-6128	43	14	comprehensive	comprehensive	ADJ
cana-6128	43	15	dataset	dataset	NOUN
cana-6128	43	16	comprising	comprising	NOUN
cana-6128	43	17	twitter	twitter	NOUN
cana-6128	43	18	posts	post	NOUN
cana-6128	43	19	.	.	PUNCT
cana-6128	44	1	for	for	ADP
cana-6128	44	2	this	this	DET
cana-6128	44	3	study	study	NOUN
cana-6128	44	4	,	,	PUNCT
cana-6128	44	5	we	we	PRON
cana-6128	44	6	utilized	utilize	VERB
cana-6128	44	7	a	a	DET
cana-6128	44	8	dataset	dataset	NOUN
cana-6128	44	9	comprising	comprising	NOUN
cana-6128	44	10	6,373	6,373	NUM
cana-6128	44	11	twitter	twitter	NOUN
cana-6128	44	12	data	datum	NOUN
cana-6128	44	13	entries	entry	NOUN
cana-6128	44	14	at	at	ADP
cana-6128	44	15	github	github	PROPN
cana-6128	44	16	.	.	PUNCT
cana-6128	45	1	this	this	DET
cana-6128	45	2	dataset	dataset	NOUN
cana-6128	45	3	,	,	PUNCT
cana-6128	45	4	structured	structure	VERB
cana-6128	45	5	in	in	ADP
cana-6128	45	6	an	an	DET
cana-6128	45	7	excel	excel	NOUN
cana-6128	45	8	file	file	NOUN
cana-6128	45	9	format	format	NOUN
cana-6128	45	10	,	,	PUNCT
cana-6128	45	11	was	be	AUX
cana-6128	45	12	meticulously	meticulously	ADV
cana-6128	45	13	collected	collect	VERB
cana-6128	45	14	and	and	CCONJ
cana-6128	45	15	labeled	label	VERB
cana-6128	45	16	to	to	PART
cana-6128	45	17	differentiate	differentiate	VERB
cana-6128	45	18	between	between	ADP
cana-6128	45	19	'	'	PUNCT
cana-6128	45	20	bully	bully	NOUN
cana-6128	45	21	'	'	PUNCT
cana-6128	45	22	and	and	CCONJ
cana-6128	45	23	'	'	PUNCT
cana-6128	45	24	non_bully	non_bully	ADV
cana-6128	45	25	'	'	PUNCT
cana-6128	45	26	tweets	tweet	NOUN
cana-6128	45	27	,	,	PUNCT
cana-6128	45	28	providing	provide	VERB
cana-6128	45	29	the	the	DET
cana-6128	45	30	empirical	empirical	ADJ
cana-6128	45	31	basis	basis	NOUN
cana-6128	45	32	for	for	ADP
cana-6128	45	33	model	model	NOUN
cana-6128	45	34	training	training	NOUN
cana-6128	45	35	and	and	CCONJ
cana-6128	45	36	evaluation	evaluation	NOUN
cana-6128	45	37	.	.	PUNCT
cana-6128	46	1	this	this	DET
cana-6128	46	2	dataset	dataset	NOUN
cana-6128	46	3	was	be	AUX
cana-6128	46	4	meticulously	meticulously	ADV
cana-6128	46	5	prepared	prepared	ADJ
cana-6128	46	6	to	to	PART
cana-6128	46	7	ensure	ensure	VERB
cana-6128	46	8	its	its	PRON
cana-6128	46	9	suitability	suitability	NOUN
cana-6128	46	10	for	for	ADP
cana-6128	46	11	sentiment	sentiment	NOUN
cana-6128	46	12	analysis	analysis	NOUN
cana-6128	46	13	and	and	CCONJ
cana-6128	46	14	machine	machine	NOUN
cana-6128	46	15	learning	learning	NOUN
cana-6128	46	16	applications	application	NOUN
cana-6128	46	17	.	.	PUNCT
cana-6128	47	1	initial	initial	ADJ
cana-6128	47	2	preprocessing	preprocessing	NOUN
cana-6128	47	3	steps	step	NOUN
cana-6128	47	4	were	be	AUX
cana-6128	47	5	crucial	crucial	ADJ
cana-6128	47	6	to	to	PART
cana-6128	47	7	transform	transform	VERB
cana-6128	47	8	raw	raw	ADJ
cana-6128	47	9	textual	textual	ADJ
cana-6128	47	10	data	datum	NOUN
cana-6128	47	11	into	into	ADP
cana-6128	47	12	a	a	DET
cana-6128	47	13	usable	usable	ADJ
cana-6128	47	14	format	format	NOUN
cana-6128	47	15	,	,	PUNCT
cana-6128	47	16	which	which	PRON
cana-6128	47	17	typically	typically	ADV
cana-6128	47	18	includes	include	VERB
cana-6128	47	19	:	:	PUNCT
cana-6128	47	20	●	●	PUNCT
cana-6128	47	21	tokenization	tokenization	NOUN
cana-6128	47	22	:	:	PUNCT
cana-6128	47	23	breaking	break	VERB
cana-6128	47	24	down	down	ADP
cana-6128	47	25	tweets	tweet	NOUN
cana-6128	47	26	into	into	ADP
cana-6128	47	27	individual	individual	ADJ
cana-6128	47	28	words	word	NOUN
cana-6128	47	29	or	or	CCONJ
cana-6128	47	30	sub	sub	ADJ
cana-6128	47	31	-	-	ADJ
cana-6128	47	32	word	word	ADJ
cana-6128	47	33	units	unit	NOUN
cana-6128	47	34	(	(	PUNCT
cana-6128	47	35	joseph	joseph	PROPN
cana-6128	47	36	et	et	PROPN
cana-6128	47	37	al	al	PROPN
cana-6128	47	38	.	.	PROPN
cana-6128	47	39	,	,	PUNCT
cana-6128	47	40	2024	2024	NUM
cana-6128	47	41	)	)	PUNCT
cana-6128	47	42	.	.	PUNCT
cana-6128	48	1	●	●	PUNCT
cana-6128	48	2	noise	noise	NOUN
cana-6128	48	3	reduction	reduction	NOUN
cana-6128	48	4	:	:	PUNCT
cana-6128	48	5	removing	remove	VERB
cana-6128	48	6	irrelevant	irrelevant	ADJ
cana-6128	48	7	elements	element	NOUN
cana-6128	48	8	such	such	ADJ
cana-6128	48	9	as	as	ADP
cana-6128	48	10	urls	url	NOUN
cana-6128	48	11	,	,	PUNCT
cana-6128	48	12	mentions	mention	NOUN
cana-6128	48	13	(	(	PUNCT
cana-6128	48	14	@user	@user	NOUN
cana-6128	48	15	)	)	PUNCT
cana-6128	48	16	,	,	PUNCT
cana-6128	48	17	hashtags	hashtag	NOUN
cana-6128	48	18	(	(	PUNCT
cana-6128	48	19	#	#	NOUN
cana-6128	48	20	)	)	PUNCT
cana-6128	48	21	,	,	PUNCT
cana-6128	48	22	special	special	ADJ
cana-6128	48	23	characters	character	NOUN
cana-6128	48	24	,	,	PUNCT
cana-6128	48	25	and	and	CCONJ
cana-6128	48	26	numbers	number	NOUN
cana-6128	48	27	that	that	PRON
cana-6128	48	28	do	do	AUX
cana-6128	48	29	not	not	PART
cana-6128	48	30	contribute	contribute	VERB
cana-6128	48	31	to	to	ADP
cana-6128	48	32	sentiment	sentiment	NOUN
cana-6128	48	33	classification	classification	NOUN
cana-6128	48	34	.	.	PUNCT
cana-6128	49	1	this	this	PRON
cana-6128	49	2	also	also	ADV
cana-6128	49	3	involved	involve	VERB
cana-6128	49	4	handling	handle	VERB
cana-6128	49	5	stop	stop	VERB
cana-6128	49	6	words	word	NOUN
cana-6128	49	7	and	and	CCONJ
cana-6128	49	8	punctuation	punctuation	NOUN
cana-6128	49	9	(	(	PUNCT
cana-6128	49	10	fati	fati	PROPN
cana-6128	49	11	,	,	PUNCT
cana-6128	49	12	2021	2021	NUM
cana-6128	49	13	)	)	PUNCT
cana-6128	49	14	.	.	PUNCT
cana-6128	50	1	●	●	PUNCT
cana-6128	50	2	normalization	normalization	NOUN
cana-6128	50	3	:	:	PUNCT
cana-6128	50	4	converting	convert	VERB
cana-6128	50	5	text	text	NOUN
cana-6128	50	6	to	to	PART
cana-6128	50	7	lowercase	lowercase	VERB
cana-6128	50	8	to	to	PART
cana-6128	50	9	ensure	ensure	VERB
cana-6128	50	10	consistency	consistency	NOUN
cana-6128	50	11	and	and	CCONJ
cana-6128	50	12	reduce	reduce	VERB
cana-6128	50	13	vocabulary	vocabulary	ADJ
cana-6128	50	14	size	size	NOUN
cana-6128	50	15	.	.	PUNCT
cana-6128	51	1	these	these	DET
cana-6128	51	2	preprocessing	preprocessing	NOUN
cana-6128	51	3	steps	step	NOUN
cana-6128	51	4	are	be	AUX
cana-6128	51	5	vital	vital	ADJ
cana-6128	51	6	for	for	ADP
cana-6128	51	7	enhancing	enhance	VERB
cana-6128	51	8	the	the	DET
cana-6128	51	9	quality	quality	NOUN
cana-6128	51	10	of	of	ADP
cana-6128	51	11	features	feature	NOUN
cana-6128	51	12	extracted	extract	VERB
cana-6128	51	13	for	for	ADP
cana-6128	51	14	sentiment	sentiment	NOUN
cana-6128	51	15	analysis	analysis	NOUN
cana-6128	51	16	,	,	PUNCT
cana-6128	51	17	enabling	enable	VERB
cana-6128	51	18	the	the	DET
cana-6128	51	19	models	model	NOUN
cana-6128	51	20	to	to	PART
cana-6128	51	21	focus	focus	VERB
cana-6128	51	22	on	on	ADP
cana-6128	51	23	the	the	DET
cana-6128	51	24	semantic	semantic	ADJ
cana-6128	51	25	content	content	NOUN
cana-6128	51	26	indicative	indicative	ADJ
cana-6128	51	27	of	of	ADP
cana-6128	51	28	bullying	bully	VERB
cana-6128	51	29	behavior	behavior	NOUN
cana-6128	51	30	.	.	PUNCT
cana-6128	52	1	2	2	X
cana-6128	52	2	.	.	NOUN
cana-6128	52	3	feature	feature	NOUN
cana-6128	52	4	engineering	engineering	NOUN
cana-6128	52	5	and	and	CCONJ
cana-6128	52	6	vectorization	vectorization	NOUN
cana-6128	52	7	at	at	ADP
cana-6128	52	8	the	the	DET
cana-6128	52	9	heart	heart	NOUN
cana-6128	52	10	of	of	ADP
cana-6128	52	11	our	our	PRON
cana-6128	52	12	sentiment	sentiment	NOUN
cana-6128	52	13	-	-	PUNCT
cana-6128	52	14	driven	drive	VERB
cana-6128	52	15	approach	approach	NOUN
cana-6128	52	16	was	be	AUX
cana-6128	52	17	the	the	DET
cana-6128	52	18	conversion	conversion	NOUN
cana-6128	52	19	of	of	ADP
cana-6128	52	20	the	the	DET
cana-6128	52	21	processed	process	VERB
cana-6128	52	22	text	text	NOUN
cana-6128	52	23	into	into	ADP
cana-6128	52	24	numerical	numerical	ADJ
cana-6128	52	25	arrays	array	NOUN
cana-6128	52	26	,	,	PUNCT
cana-6128	52	27	which	which	PRON
cana-6128	52	28	the	the	DET
cana-6128	52	29	machine	machine	NOUN
cana-6128	52	30	learning	learn	VERB
cana-6128	52	31	algorithms	algorithm	NOUN
cana-6128	52	32	could	could	AUX
cana-6128	52	33	recognize	recognize	VERB
cana-6128	52	34	.	.	PUNCT
cana-6128	53	1	text	text	NOUN
cana-6128	53	2	representation	representation	NOUN
cana-6128	53	3	:	:	PUNCT
cana-6128	53	4	this	this	DET
cana-6128	53	5	study	study	NOUN
cana-6128	53	6	used	use	VERB
cana-6128	53	7	count	count	NOUN
cana-6128	53	8	vectorizer	vectorizer	NOUN
cana-6128	53	9	as	as	ADP
cana-6128	53	10	a	a	DET
cana-6128	53	11	text	text	NOUN
cana-6128	53	12	representation	representation	NOUN
cana-6128	53	13	method	method	NOUN
cana-6128	53	14	,	,	PUNCT
cana-6128	53	15	which	which	PRON
cana-6128	53	16	converts	convert	VERB
cana-6128	53	17	a	a	DET
cana-6128	53	18	collection	collection	NOUN
cana-6128	53	19	of	of	ADP
cana-6128	53	20	text	text	NOUN
cana-6128	53	21	documents	document	NOUN
cana-6128	53	22	to	to	ADP
cana-6128	53	23	a	a	DET
cana-6128	53	24	matrix	matrix	NOUN
cana-6128	53	25	of	of	ADP
cana-6128	53	26	token	token	ADJ
cana-6128	53	27	counts	count	NOUN
cana-6128	53	28	(	(	PUNCT
cana-6128	53	29	alabdulwahab	alabdulwahab	PROPN
cana-6128	53	30	et	et	PROPN
cana-6128	53	31	al	al	PROPN
cana-6128	53	32	.	.	PROPN
cana-6128	53	33	,	,	PUNCT
cana-6128	53	34	2023	2023	NUM
cana-6128	53	35	)	)	PUNCT
cana-6128	53	36	.	.	PUNCT
cana-6128	54	1	thus	thus	ADV
cana-6128	54	2	every	every	DET
cana-6128	54	3	feature	feature	NOUN
cana-6128	54	4	of	of	ADP
cana-6128	54	5	this	this	DET
cana-6128	54	6	vector	vector	NOUN
cana-6128	54	7	space	space	NOUN
cana-6128	54	8	is	be	AUX
cana-6128	54	9	relative	relative	ADJ
cana-6128	54	10	to	to	ADP
cana-6128	54	11	frequency	frequency	NOUN
cana-6128	54	12	of	of	ADP
cana-6128	54	13	words	word	NOUN
cana-6128	54	14	in	in	ADP
cana-6128	54	15	a	a	DET
cana-6128	54	16	particular	particular	ADJ
cana-6128	54	17	tweet	tweet	NOUN
cana-6128	54	18	,	,	PUNCT
cana-6128	54	19	it	it	PRON
cana-6128	54	20	gives	give	VERB
cana-6128	54	21	the	the	DET
cana-6128	54	22	financial	financial	ADJ
cana-6128	54	23	measurement	measurement	NOUN
cana-6128	54	24	of	of	ADP
cana-6128	54	25	linguistic	linguistic	ADJ
cana-6128	54	26	elements	element	NOUN
cana-6128	54	27	.	.	PUNCT
cana-6128	55	1	this	this	DET
cana-6128	55	2	vectorization	vectorization	NOUN
cana-6128	55	3	method	method	NOUN
cana-6128	55	4	captures	capture	VERB
cana-6128	55	5	the	the	DET
cana-6128	55	6	vocabulary	vocabulary	NOUN
cana-6128	55	7	and	and	CCONJ
cana-6128	55	8	words(given	words(given	VERB
cana-6128	55	9	a	a	DET
cana-6128	55	10	sentence	sentence	NOUN
cana-6128	55	11	)	)	PUNCT
cana-6128	55	12	with	with	ADP
cana-6128	55	13	the	the	DET
cana-6128	55	14	help	help	NOUN
cana-6128	55	15	of	of	ADP
cana-6128	55	16	a	a	DET
cana-6128	55	17	simple	simple	ADJ
cana-6128	55	18	model	model	NOUN
cana-6128	55	19	which	which	PRON
cana-6128	55	20	is	be	AUX
cana-6128	55	21	a	a	DET
cana-6128	55	22	complex	complex	ADJ
cana-6128	55	23	representation	representation	NOUN
cana-6128	55	24	of	of	ADP
cana-6128	55	25	the	the	DET
cana-6128	55	26	functional	functional	ADJ
cana-6128	55	27	words	word	NOUN
cana-6128	55	28	,	,	PUNCT
cana-6128	55	29	relevant	relevant	ADJ
cana-6128	55	30	for	for	ADP
cana-6128	55	31	distinguishing	distinguish	VERB
cana-6128	55	32	the	the	DET
cana-6128	55	33	relatedness	relatedness	NOUN
cana-6128	55	34	with	with	ADP
cana-6128	55	35	the	the	DET
cana-6128	55	36	emotional	emotional	ADJ
cana-6128	55	37	tone	tone	NOUN
cana-6128	55	38	and	and	CCONJ
cana-6128	55	39	the	the	DET
cana-6128	55	40	badness	badness	NOUN
cana-6128	55	41	aspect	aspect	NOUN
cana-6128	55	42	of	of	ADP
cana-6128	55	43	the	the	DET
cana-6128	55	44	cyber	cyber	NOUN
cana-6128	55	45	-	-	PUNCT
cana-6128	55	46	bullied	bully	VERB
cana-6128	55	47	text	text	NOUN
cana-6128	55	48	.	.	PUNCT
cana-6128	56	1	all	all	DET
cana-6128	56	2	the	the	DET
cana-6128	56	3	downstream	downstream	ADJ
cana-6128	56	4	machine	machine	NOUN
cana-6128	56	5	learning	learning	NOUN
cana-6128	56	6	nodes	node	NOUN
cana-6128	56	7	take	take	VERB
cana-6128	56	8	in	in	ADP
cana-6128	56	9	these	these	DET
cana-6128	56	10	feature	feature	NOUN
cana-6128	56	11	vectors	vector	NOUN
cana-6128	56	12	as	as	ADP
cana-6128	56	13	input	input	NOUN
cana-6128	56	14	.	.	PUNCT
cana-6128	57	1	feature	feature	NOUN
cana-6128	57	2	selection	selection	NOUN
cana-6128	57	3	is	be	AUX
cana-6128	57	4	vital	vital	ADJ
cana-6128	57	5	to	to	PART
cana-6128	57	6	help	help	VERB
cana-6128	57	7	the	the	DET
cana-6128	57	8	classifiers	classifier	NOUN
cana-6128	57	9	separate	separate	VERB
cana-6128	57	10	the	the	DET
cana-6128	57	11	instances	instance	NOUN
cana-6128	57	12	of	of	ADP
cana-6128	57	13	cyberbullying	cyberbullye	VERB
cana-6128	57	14	from	from	ADP
cana-6128	57	15	neutral	neutral	ADJ
cana-6128	57	16	instances(ostayeva	instances(ostayeva	PROPN
cana-6128	57	17	et	et	PROPN
cana-6128	57	18	al	al	PROPN
cana-6128	57	19	.	.	PROPN
cana-6128	57	20	,	,	PUNCT
cana-6128	57	21	2024	2024	NUM
cana-6128	57	22	)	)	PUNCT
cana-6128	57	23	.	.	PUNCT
cana-6128	58	1	3	3	X
cana-6128	58	2	.	.	X
cana-6128	58	3	machine	machine	NOUN
cana-6128	58	4	learning	learning	NOUN
cana-6128	58	5	models	model	NOUN
cana-6128	58	6	for	for	ADP
cana-6128	58	7	sentiment	sentiment	NOUN
cana-6128	58	8	classification	classification	NOUN
cana-6128	58	9	development	development	NOUN
cana-6128	58	10	and	and	CCONJ
cana-6128	58	11	evaluation	evaluation	NOUN
cana-6128	58	12	of	of	ADP
cana-6128	58	13	a	a	DET
cana-6128	58	14	new	new	ADJ
cana-6128	58	15	suite	suite	NOUN
cana-6128	58	16	of	of	ADP
cana-6128	58	17	nine	nine	NUM
cana-6128	58	18	individual	individual	ADJ
cana-6128	58	19	machine	machine	NOUN
cana-6128	58	20	learning	learning	NOUN
cana-6128	58	21	models	model	NOUN
cana-6128	58	22	for	for	ADP
cana-6128	58	23	analysing	analyse	VERB
cana-6128	58	24	tweets	tweet	NOUN
cana-6128	58	25	that	that	PRON
cana-6128	58	26	express	express	VERB
cana-6128	58	27	bullying	bully	VERB
cana-6128	58	28	behaviour	behaviour	NOUN
cana-6128	58	29	in	in	ADP
cana-6128	58	30	relation	relation	NOUN
cana-6128	58	31	to	to	ADP
cana-6128	58	32	their	their	PRON
cana-6128	58	33	sentiment	sentiment	NOUN
cana-6128	58	34	we	we	PRON
cana-6128	58	35	selected	select	VERB
cana-6128	58	36	communications	communication	NOUN
cana-6128	58	37	on	on	ADP
cana-6128	58	38	applied	apply	VERB
cana-6128	58	39	nonlinear	nonlinear	ADJ
cana-6128	58	40	analysis	analysis	NOUN
cana-6128	58	41	issn	issn	NOUN
cana-6128	58	42	:	:	PUNCT
cana-6128	58	43	1074	1074	NUM
cana-6128	58	44	-	-	PUNCT
cana-6128	58	45	133x	133x	NUM
cana-6128	58	46	vol	vol	NOUN
cana-6128	58	47	32	32	NUM
cana-6128	58	48	no	no	NOUN
cana-6128	58	49	.	.	PUNCT
cana-6128	59	1	6s	6s	NUM
cana-6128	59	2	(	(	PUNCT
cana-6128	59	3	2025	2025	NUM
cana-6128	59	4	)	)	PUNCT
cana-6128	59	5	608	608	NUM
cana-6128	59	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	59	7	these	these	DET
cana-6128	59	8	models	model	NOUN
cana-6128	59	9	to	to	PART
cana-6128	59	10	illustrate	illustrate	VERB
cana-6128	59	11	diversity	diversity	NOUN
cana-6128	59	12	in	in	ADP
cana-6128	59	13	algorithmic	algorithmic	ADJ
cana-6128	59	14	strategies	strategy	NOUN
cana-6128	59	15	,	,	PUNCT
cana-6128	59	16	including	include	VERB
cana-6128	59	17	both	both	CCONJ
cana-6128	59	18	classic	classic	ADJ
cana-6128	59	19	statistical	statistical	ADJ
cana-6128	59	20	techniques	technique	NOUN
cana-6128	59	21	and	and	CCONJ
cana-6128	59	22	more	more	ADJ
cana-6128	59	23	modern	modern	ADJ
cana-6128	59	24	ensemble	ensemble	ADJ
cana-6128	59	25	methods	method	NOUN
cana-6128	59	26	.	.	PUNCT
cana-6128	60	1	the	the	DET
cana-6128	60	2	models	model	NOUN
cana-6128	60	3	investigated	investigate	VERB
cana-6128	60	4	include	include	VERB
cana-6128	60	5	:	:	PUNCT
cana-6128	60	6	●	●	PUNCT
cana-6128	60	7	support	support	NOUN
cana-6128	60	8	vector	vector	NOUN
cana-6128	60	9	machine	machine	NOUN
cana-6128	60	10	●	●	PUNCT
cana-6128	60	11	naïve	naïve	ADJ
cana-6128	60	12	bayes	bayes	NOUN
cana-6128	60	13	●	●	PUNCT
cana-6128	60	14	random	random	ADJ
cana-6128	60	15	forest	forest	NOUN
cana-6128	60	16	●	●	PUNCT
cana-6128	60	17	logistic	logistic	ADJ
cana-6128	60	18	regression	regression	NOUN
cana-6128	60	19	●	●	PUNCT
cana-6128	60	20	bootstrap	bootstrap	NOUN
cana-6128	60	21	aggregating	aggregate	VERB
cana-6128	60	22	●	●	NUM
cana-6128	60	23	gradient	gradient	NOUN
cana-6128	60	24	boosting	boost	VERB
cana-6128	60	25	●	●	NUM
cana-6128	60	26	light	light	ADJ
cana-6128	60	27	gradient	gradient	NOUN
cana-6128	60	28	boosting	boost	VERB
cana-6128	60	29	machine	machine	NOUN
cana-6128	60	30	●	●	PUNCT
cana-6128	60	31	adaptive	adaptive	ADJ
cana-6128	60	32	boosting	boost	VERB
cana-6128	60	33	●	●	NUM
cana-6128	60	34	extreme	extreme	ADJ
cana-6128	60	35	gradient	gradient	NOUN
cana-6128	60	36	boosting	boost	VERB
cana-6128	60	37	these	these	DET
cana-6128	60	38	classifiers	classifier	NOUN
cana-6128	60	39	have	have	AUX
cana-6128	60	40	been	be	AUX
cana-6128	60	41	widely	widely	ADV
cana-6128	60	42	utilized	utilize	VERB
cana-6128	60	43	in	in	ADP
cana-6128	60	44	similar	similar	ADJ
cana-6128	60	45	studies	study	NOUN
cana-6128	60	46	for	for	ADP
cana-6128	60	47	cyberbullying	cyberbullye	VERB
cana-6128	60	48	detection	detection	NOUN
cana-6128	60	49	and	and	CCONJ
cana-6128	60	50	sentiment	sentiment	NOUN
cana-6128	60	51	analysis	analysis	NOUN
cana-6128	60	52	(	(	PUNCT
cana-6128	60	53	khairy	khairy	PROPN
cana-6128	60	54	et	et	PROPN
cana-6128	60	55	al	al	PROPN
cana-6128	60	56	.	.	PROPN
cana-6128	60	57	,	,	PUNCT
cana-6128	60	58	2023	2023	NUM
cana-6128	60	59	;	;	PUNCT
cana-6128	60	60	muneer	muneer	NOUN
cana-6128	60	61	&	&	CCONJ
cana-6128	60	62	fati	fati	PROPN
cana-6128	60	63	,	,	PUNCT
cana-6128	60	64	2020	2020	NUM
cana-6128	60	65	;	;	PUNCT
cana-6128	60	66	ostayeva	ostayeva	PROPN
cana-6128	60	67	et	et	PROPN
cana-6128	60	68	al	al	PROPN
cana-6128	60	69	.	.	PROPN
cana-6128	60	70	,	,	PUNCT
cana-6128	60	71	2024	2024	NUM
cana-6128	60	72	)	)	PUNCT
cana-6128	60	73	,	,	PUNCT
cana-6128	60	74	each	each	PRON
cana-6128	60	75	offering	offer	VERB
cana-6128	60	76	unique	unique	ADJ
cana-6128	60	77	strengths	strength	NOUN
cana-6128	60	78	in	in	ADP
cana-6128	60	79	pattern	pattern	NOUN
cana-6128	60	80	recognition	recognition	NOUN
cana-6128	60	81	and	and	CCONJ
cana-6128	60	82	classification	classification	NOUN
cana-6128	60	83	.	.	PUNCT
cana-6128	61	1	their	their	PRON
cana-6128	61	2	comparative	comparative	ADJ
cana-6128	61	3	analysis	analysis	NOUN
cana-6128	61	4	provides	provide	VERB
cana-6128	61	5	insights	insight	NOUN
cana-6128	61	6	into	into	ADP
cana-6128	61	7	their	their	PRON
cana-6128	61	8	suitability	suitability	NOUN
cana-6128	61	9	for	for	ADP
cana-6128	61	10	identifying	identify	VERB
cana-6128	61	11	sentiments	sentiment	NOUN
cana-6128	61	12	indicative	indicative	ADJ
cana-6128	61	13	of	of	ADP
cana-6128	61	14	cyberbullying	cyberbullye	VERB
cana-6128	61	15	.	.	PUNCT
cana-6128	62	1	4	4	X
cana-6128	62	2	.	.	X
cana-6128	62	3	experimental	experimental	ADJ
cana-6128	62	4	setup	setup	NOUN
cana-6128	62	5	and	and	CCONJ
cana-6128	62	6	evaluation	evaluation	NOUN
cana-6128	62	7	the	the	DET
cana-6128	62	8	meticulously	meticulously	ADV
cana-6128	62	9	preprocessed	preprocesse	VERB
cana-6128	62	10	dataset	dataset	NOUN
cana-6128	62	11	was	be	AUX
cana-6128	62	12	systematically	systematically	ADV
cana-6128	62	13	partitioned	partition	VERB
cana-6128	62	14	into	into	ADP
cana-6128	62	15	training	training	NOUN
cana-6128	62	16	and	and	CCONJ
cana-6128	62	17	testing	testing	NOUN
cana-6128	62	18	sets	set	NOUN
cana-6128	62	19	,	,	PUNCT
cana-6128	62	20	typically	typically	ADV
cana-6128	62	21	employing	employ	VERB
cana-6128	62	22	a	a	DET
cana-6128	62	23	75	75	NUM
cana-6128	62	24	%	%	NOUN
cana-6128	62	25	training	training	NOUN
cana-6128	62	26	and	and	CCONJ
cana-6128	62	27	25	25	NUM
cana-6128	62	28	%	%	NOUN
cana-6128	62	29	testing	testing	NOUN
cana-6128	62	30	split	split	NOUN
cana-6128	62	31	,	,	PUNCT
cana-6128	62	32	to	to	PART
cana-6128	62	33	ensure	ensure	VERB
cana-6128	62	34	robust	robust	ADJ
cana-6128	62	35	and	and	CCONJ
cana-6128	62	36	unbiased	unbiased	ADJ
cana-6128	62	37	model	model	NOUN
cana-6128	62	38	evaluation	evaluation	NOUN
cana-6128	62	39	.	.	PUNCT
cana-6128	63	1	to	to	PART
cana-6128	63	2	address	address	VERB
cana-6128	63	3	potential	potential	ADJ
cana-6128	63	4	class	class	NOUN
cana-6128	63	5	imbalance	imbalance	NOUN
cana-6128	63	6	,	,	PUNCT
cana-6128	63	7	a	a	DET
cana-6128	63	8	common	common	ADJ
cana-6128	63	9	challenge	challenge	NOUN
cana-6128	63	10	in	in	ADP
cana-6128	63	11	cyberbullying	cyberbullye	VERB
cana-6128	63	12	detection	detection	NOUN
cana-6128	63	13	datasets	dataset	NOUN
cana-6128	63	14	,	,	PUNCT
cana-6128	63	15	and	and	CCONJ
cana-6128	63	16	to	to	PART
cana-6128	63	17	enhance	enhance	VERB
cana-6128	63	18	the	the	DET
cana-6128	63	19	generalizability	generalizability	NOUN
cana-6128	63	20	of	of	ADP
cana-6128	63	21	our	our	PRON
cana-6128	63	22	findings	finding	NOUN
cana-6128	63	23	,	,	PUNCT
cana-6128	63	24	a	a	DET
cana-6128	63	25	rigorous	rigorous	ADJ
cana-6128	63	26	cross	cross	ADJ
cana-6128	63	27	-	-	ADJ
cana-6128	63	28	validation	validation	ADJ
cana-6128	63	29	strategy	strategy	NOUN
cana-6128	63	30	,	,	PUNCT
cana-6128	63	31	specifically	specifically	ADV
cana-6128	63	32	stratified	stratify	VERB
cana-6128	63	33	shuffle	shuffle	NOUN
cana-6128	63	34	split	split	NOUN
cana-6128	63	35	,	,	PUNCT
cana-6128	63	36	was	be	AUX
cana-6128	63	37	employed	employ	VERB
cana-6128	63	38	.	.	PUNCT
cana-6128	64	1	this	this	DET
cana-6128	64	2	technique	technique	NOUN
cana-6128	64	3	preserves	preserve	VERB
cana-6128	64	4	the	the	DET
cana-6128	64	5	proportional	proportional	ADJ
cana-6128	64	6	representation	representation	NOUN
cana-6128	64	7	of	of	ADP
cana-6128	64	8	'	'	PUNCT
cana-6128	64	9	bully	bully	NOUN
cana-6128	64	10	'	'	PUNCT
cana-6128	64	11	and	and	CCONJ
cana-6128	64	12	'	'	PUNCT
cana-6128	64	13	non_bully	non_bully	ADV
cana-6128	64	14	'	'	PUNCT
cana-6128	64	15	instances	instance	NOUN
cana-6128	64	16	across	across	ADP
cana-6128	64	17	folds	fold	NOUN
cana-6128	64	18	,	,	PUNCT
cana-6128	64	19	which	which	PRON
cana-6128	64	20	is	be	AUX
cana-6128	64	21	crucial	crucial	ADJ
cana-6128	64	22	for	for	ADP
cana-6128	64	23	reliable	reliable	ADJ
cana-6128	64	24	performance	performance	NOUN
cana-6128	64	25	assessment	assessment	NOUN
cana-6128	64	26	when	when	SCONJ
cana-6128	64	27	dealing	deal	VERB
cana-6128	64	28	with	with	ADP
cana-6128	64	29	sentiment	sentiment	NOUN
cana-6128	64	30	classifications	classification	NOUN
cana-6128	64	31	where	where	SCONJ
cana-6128	64	32	one	one	NUM
cana-6128	64	33	class	class	NOUN
cana-6128	64	34	may	may	AUX
cana-6128	64	35	be	be	AUX
cana-6128	64	36	significantly	significantly	ADV
cana-6128	64	37	less	less	ADV
cana-6128	64	38	frequent	frequent	ADJ
cana-6128	64	39	.	.	PUNCT
cana-6128	65	1	we	we	PRON
cana-6128	65	2	mainly	mainly	ADV
cana-6128	65	3	evaluated	evaluate	VERB
cana-6128	65	4	the	the	DET
cana-6128	65	5	performance	performance	NOUN
cana-6128	65	6	of	of	ADP
cana-6128	65	7	each	each	DET
cana-6128	65	8	machine	machine	NOUN
cana-6128	65	9	learning	learn	VERB
cana-6128	65	10	model	model	NOUN
cana-6128	65	11	through	through	ADP
cana-6128	65	12	the	the	DET
cana-6128	65	13	f1	f1	NOUN
cana-6128	65	14	-	-	PUNCT
cana-6128	65	15	score	score	NOUN
cana-6128	65	16	,	,	PUNCT
cana-6128	65	17	which	which	PRON
cana-6128	65	18	reflects	reflect	VERB
cana-6128	65	19	precision	precision	NOUN
cana-6128	65	20	and	and	CCONJ
cana-6128	65	21	recall	recall	NOUN
cana-6128	65	22	in	in	ADP
cana-6128	65	23	a	a	DET
cana-6128	65	24	harmonic	harmonic	ADJ
cana-6128	65	25	mean	mean	NOUN
cana-6128	65	26	.	.	PUNCT
cana-6128	66	1	f1	f1	NOUN
cana-6128	66	2	score	score	NOUN
cana-6128	66	3	is	be	AUX
cana-6128	66	4	one	one	NUM
cana-6128	66	5	of	of	ADP
cana-6128	66	6	the	the	DET
cana-6128	66	7	most	most	ADV
cana-6128	66	8	useful	useful	ADJ
cana-6128	66	9	targets	target	NOUN
cana-6128	66	10	here	here	ADV
cana-6128	66	11	,	,	PUNCT
cana-6128	66	12	since	since	SCONJ
cana-6128	66	13	it	it	PRON
cana-6128	66	14	is	be	AUX
cana-6128	66	15	a	a	DET
cana-6128	66	16	balanced	balanced	ADJ
cana-6128	66	17	measure	measure	NOUN
cana-6128	66	18	between	between	ADP
cana-6128	66	19	the	the	DET
cana-6128	66	20	precision	precision	NOUN
cana-6128	66	21	and	and	CCONJ
cana-6128	66	22	recall	recall	NOUN
cana-6128	66	23	of	of	ADP
cana-6128	66	24	a	a	DET
cana-6128	66	25	model	model	NOUN
cana-6128	66	26	and	and	CCONJ
cana-6128	66	27	would	would	AUX
cana-6128	66	28	be	be	AUX
cana-6128	66	29	vital	vital	ADJ
cana-6128	66	30	for	for	ADP
cana-6128	66	31	classification	classification	NOUN
cana-6128	66	32	tasks	task	NOUN
cana-6128	66	33	where	where	SCONJ
cana-6128	66	34	the	the	DET
cana-6128	66	35	data	datum	NOUN
cana-6128	66	36	set	set	VERB
cana-6128	66	37	is	be	AUX
cana-6128	66	38	imbalanced	imbalance	VERB
cana-6128	66	39	,	,	PUNCT
cana-6128	66	40	such	such	ADJ
cana-6128	66	41	as	as	ADP
cana-6128	66	42	finding	find	VERB
cana-6128	66	43	cyberbullying	cyberbullye	VERB
cana-6128	66	44	detection	detection	NOUN
cana-6128	66	45	.	.	PUNCT
cana-6128	67	1	finally	finally	ADV
cana-6128	67	2	,	,	PUNCT
cana-6128	67	3	complementary	complementary	ADJ
cana-6128	67	4	metrics	metric	NOUN
cana-6128	67	5	were	be	AUX
cana-6128	67	6	taken	take	VERB
cana-6128	67	7	into	into	ADP
cana-6128	67	8	consideration	consideration	NOUN
cana-6128	67	9	as	as	ADP
cana-6128	67	10	precision	precision	NOUN
cana-6128	67	11	,	,	PUNCT
cana-6128	67	12	recall	recall	NOUN
cana-6128	67	13	and	and	CCONJ
cana-6128	67	14	accuracy	accuracy	NOUN
cana-6128	67	15	used	use	VERB
cana-6128	67	16	in	in	ADP
cana-6128	67	17	order	order	NOUN
cana-6128	67	18	to	to	PART
cana-6128	67	19	get	get	VERB
cana-6128	67	20	a	a	DET
cana-6128	67	21	better	well	ADJ
cana-6128	67	22	idea	idea	NOUN
cana-6128	67	23	of	of	ADP
cana-6128	67	24	each	each	DET
cana-6128	67	25	model	model	NOUN
cana-6128	67	26	strengths	strength	NOUN
cana-6128	67	27	and	and	CCONJ
cana-6128	67	28	weaknesses	weakness	NOUN
cana-6128	67	29	in	in	ADP
cana-6128	67	30	distinguishing	distinguish	VERB
cana-6128	67	31	positive	positive	ADJ
cana-6128	67	32	(	(	PUNCT
cana-6128	67	33	bullying	bullying	NOUN
cana-6128	67	34	)	)	PUNCT
cana-6128	67	35	from	from	ADP
cana-6128	67	36	negative	negative	ADJ
cana-6128	67	37	(	(	PUNCT
cana-6128	67	38	non	non	ADJ
cana-6128	67	39	-	-	ADJ
cana-6128	67	40	bullying	bullying	ADJ
cana-6128	67	41	)	)	PUNCT
cana-6128	67	42	instances	instance	NOUN
cana-6128	67	43	.	.	PUNCT
cana-6128	68	1	initial	initial	ADJ
cana-6128	68	2	evaluation	evaluation	NOUN
cana-6128	68	3	of	of	ADP
cana-6128	68	4	the	the	DET
cana-6128	68	5	models	model	NOUN
cana-6128	68	6	across	across	ADP
cana-6128	68	7	various	various	ADJ
cana-6128	68	8	vectorization	vectorization	NOUN
cana-6128	68	9	techniques	technique	NOUN
cana-6128	68	10	and	and	CCONJ
cana-6128	68	11	cross	cross	ADJ
cana-6128	68	12	-	-	ADJ
cana-6128	68	13	validation	validation	ADJ
cana-6128	68	14	methods	method	NOUN
cana-6128	68	15	revealed	reveal	VERB
cana-6128	68	16	a	a	DET
cana-6128	68	17	diverse	diverse	ADJ
cana-6128	68	18	range	range	NOUN
cana-6128	68	19	of	of	ADP
cana-6128	68	20	performance	performance	NOUN
cana-6128	68	21	.	.	PUNCT
cana-6128	69	1	as	as	SCONJ
cana-6128	69	2	detailed	detailed	ADJ
cana-6128	69	3	in	in	ADP
cana-6128	69	4	our	our	PRON
cana-6128	69	5	comprehensive	comprehensive	ADJ
cana-6128	69	6	model	model	NOUN
cana-6128	69	7	comparison	comparison	NOUN
cana-6128	69	8	,	,	PUNCT
cana-6128	69	9	the	the	DET
cana-6128	69	10	initial	initial	ADJ
cana-6128	69	11	f1	f1	NOUN
cana-6128	69	12	-	-	PUNCT
cana-6128	69	13	scores	score	NOUN
cana-6128	69	14	for	for	ADP
cana-6128	69	15	the	the	DET
cana-6128	69	16	various	various	ADJ
cana-6128	69	17	models	model	NOUN
cana-6128	69	18	using	use	VERB
cana-6128	69	19	count	count	NOUN
cana-6128	69	20	vectorizer	vectorizer	NOUN
cana-6128	69	21	with	with	ADP
cana-6128	69	22	stratified	stratified	ADJ
cana-6128	69	23	shuffle	shuffle	NOUN
cana-6128	69	24	split	split	NOUN
cana-6128	69	25	were	be	AUX
cana-6128	69	26	as	as	SCONJ
cana-6128	69	27	follows	follow	VERB
cana-6128	69	28	(	(	PUNCT
cana-6128	69	29	identified	identify	VERB
cana-6128	69	30	18	18	NUM
cana-6128	69	31	misclassified	misclassifie	VERB
cana-6128	69	32	instances.pdf	instances.pdf	PRON
cana-6128	69	33	,	,	PUNCT
cana-6128	69	34	n.d	n.d	PROPN
cana-6128	69	35	.	.	PROPN
cana-6128	69	36	):	):	PUNCT
cana-6128	69	37	tiptap://citation/?d	tiptap://citation/?d	NUM
cana-6128	69	38	=	=	NOUN
cana-6128	69	39	w3sid29yayi6eyj0axrszsi6iklkzw50awzpzwqgmtggbwlzy2xhc3npzmllzcbpbnn0yw5jzxmucgrmiiwidhlwzsi6mcwic3vidhlwzsi6e30simnvbnryawj1dg9ycyi6w10simlkcyi6eyj1cgxvywrjzci6im5oc2fldhn5uhbbsddmae0wv0pxiiwiaxnibii6w10simlzc24ioltdfx0sim9yawdpbii6mx1d	w3sid29yayi6eyj0axrszsi6iklkzw50awzpzwqgmtggbwlzy2xhc3npzmllzcbpbnn0yw5jzxmucgrmiiwidhlwzsi6mcwic3vidhlwzsi6e30simnvbnryawj1dg9ycyi6w10simlkcyi6eyj1cgxvywrjzci6im5oc2fldhn5uhbbsddmae0wv0pxiiwiaxnibii6w10simlzc24ioltdfx0sim9yawdpbii6mx1d	NOUN
cana-6128	69	40	communications	communication	NOUN
cana-6128	69	41	on	on	ADP
cana-6128	69	42	applied	apply	VERB
cana-6128	69	43	nonlinear	nonlinear	ADJ
cana-6128	69	44	analysis	analysis	NOUN
cana-6128	69	45	issn	issn	NOUN
cana-6128	69	46	:	:	PUNCT
cana-6128	69	47	1074	1074	NUM
cana-6128	69	48	-	-	PUNCT
cana-6128	69	49	133x	133x	NUM
cana-6128	69	50	vol	vol	NOUN
cana-6128	69	51	32	32	NUM
cana-6128	69	52	no	no	NOUN
cana-6128	69	53	.	.	PUNCT
cana-6128	70	1	6s	6s	NUM
cana-6128	70	2	(	(	PUNCT
cana-6128	70	3	2025	2025	NUM
cana-6128	70	4	)	)	PUNCT
cana-6128	70	5	609	609	NUM
cana-6128	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	70	7	model	model	NOUN
cana-6128	70	8	f1	f1	NOUN
cana-6128	70	9	-	-	PUNCT
cana-6128	70	10	score	score	NOUN
cana-6128	70	11	xgboost	xgboost	ADV
cana-6128	70	12	0.812	0.812	NUM
cana-6128	70	13	lightgbm	lightgbm	VERB
cana-6128	70	14	0.803	0.803	NUM
cana-6128	70	15	logistic	logistic	ADJ
cana-6128	70	16	regression	regression	NOUN
cana-6128	70	17	0.802	0.802	NUM
cana-6128	70	18	gradient	gradient	NOUN
cana-6128	70	19	boosting	boost	VERB
cana-6128	70	20	0.798	0.798	NUM
cana-6128	70	21	support	support	NOUN
cana-6128	70	22	vector	vector	NOUN
cana-6128	70	23	machine	machine	NOUN
cana-6128	70	24	0.793	0.793	NUM
cana-6128	70	25	random	random	ADJ
cana-6128	70	26	forest	forest	NOUN
cana-6128	70	27	0.785	0.785	NUM
cana-6128	70	28	adaboost	adaboost	ADV
cana-6128	70	29	0.782	0.782	NUM
cana-6128	70	30	naive	naive	ADJ
cana-6128	70	31	bayes	bayes	NOUN
cana-6128	70	32	0.745	0.745	NUM
cana-6128	70	33	bagging	bag	VERB
cana-6128	70	34	0.730	0.730	NUM
cana-6128	70	35	based	base	VERB
cana-6128	70	36	on	on	ADP
cana-6128	70	37	these	these	DET
cana-6128	70	38	initial	initial	ADJ
cana-6128	70	39	results	result	NOUN
cana-6128	70	40	,	,	PUNCT
cana-6128	70	41	the	the	DET
cana-6128	70	42	top	top	ADJ
cana-6128	70	43	five	five	NUM
cana-6128	70	44	performing	perform	VERB
cana-6128	70	45	models	model	NOUN
cana-6128	70	46	were	be	AUX
cana-6128	70	47	identified	identify	VERB
cana-6128	70	48	as	as	ADP
cana-6128	70	49	xgboost	xgboost	ADV
cana-6128	70	50	,	,	PUNCT
cana-6128	70	51	lightgbm	lightgbm	ADJ
cana-6128	70	52	,	,	PUNCT
cana-6128	70	53	logistic	logistic	ADJ
cana-6128	70	54	regression	regression	NOUN
cana-6128	70	55	,	,	PUNCT
cana-6128	70	56	gradient	gradient	NOUN
cana-6128	70	57	boosting	boosting	NOUN
cana-6128	70	58	,	,	PUNCT
cana-6128	70	59	and	and	CCONJ
cana-6128	70	60	support	support	VERB
cana-6128	70	61	vector	vector	NOUN
cana-6128	70	62	machine	machine	NOUN
cana-6128	70	63	,	,	PUNCT
cana-6128	70	64	with	with	ADP
cana-6128	70	65	f1scores	f1score	NOUN
cana-6128	70	66	ranging	range	VERB
cana-6128	70	67	from	from	ADP
cana-6128	70	68	0.793	0.793	NUM
cana-6128	70	69	to	to	ADP
cana-6128	70	70	0.812	0.812	NUM
cana-6128	70	71	.	.	PUNCT
cana-6128	71	1	the	the	DET
cana-6128	71	2	precision	precision	NOUN
cana-6128	71	3	,	,	PUNCT
cana-6128	71	4	recall	recall	NOUN
cana-6128	71	5	,	,	PUNCT
cana-6128	71	6	and	and	CCONJ
cana-6128	71	7	accuracy	accuracy	NOUN
cana-6128	71	8	for	for	ADP
cana-6128	71	9	these	these	DET
cana-6128	71	10	top	top	ADJ
cana-6128	71	11	five	five	NUM
cana-6128	71	12	models	model	NOUN
cana-6128	71	13	before	before	ADP
cana-6128	71	14	further	further	ADJ
cana-6128	71	15	optimization	optimization	NOUN
cana-6128	71	16	were	be	AUX
cana-6128	71	17	also	also	ADV
cana-6128	71	18	recorded	record	VERB
cana-6128	71	19	,	,	PUNCT
cana-6128	71	20	providing	provide	VERB
cana-6128	71	21	a	a	DET
cana-6128	71	22	baseline	baseline	NOUN
cana-6128	71	23	for	for	ADP
cana-6128	71	24	subsequent	subsequent	ADJ
cana-6128	71	25	improvements	improvement	NOUN
cana-6128	71	26	(	(	PUNCT
cana-6128	71	27	index	index	NOUN
cana-6128	71	28	model	model	NOUN
cana-6128	71	29	vectorizer	vectorizer	PROPN
cana-6128	71	30	cross	cross	PROPN
cana-6128	71	31	validation	validation	NOUN
cana-6128	71	32	technique	technique	NOUN
cana-6128	71	33	accuracy	accuracy	NOUN
cana-6128	71	34	precision	precision	NOUN
cana-6128	71	35	recall	recall	VERB
cana-6128	71	36	f1	f1	NOUN
cana-6128	71	37	-	-	PUNCT
cana-6128	71	38	score	score	NOUN
cana-6128	71	39	auc	auc	NOUN
cana-6128	71	40	-	-	PUNCT
cana-6128	71	41	roc	roc	PROPN
cana-6128	71	42	,	,	PUNCT
cana-6128	71	43	n.d	n.d	PROPN
cana-6128	71	44	.	.	PROPN
cana-6128	71	45	)	)	PUNCT
cana-6128	71	46	.	.	PUNCT
cana-6128	72	1	5	5	X
cana-6128	72	2	.	.	PUNCT
cana-6128	72	3	model	model	NOUN
cana-6128	72	4	optimization	optimization	NOUN
cana-6128	72	5	and	and	CCONJ
cana-6128	72	6	misclassification	misclassification	NOUN
cana-6128	72	7	analysis	analysis	NOUN
cana-6128	72	8	after	after	ADP
cana-6128	72	9	the	the	DET
cana-6128	72	10	pre	pre	ADJ
cana-6128	72	11	-	-	ADJ
cana-6128	72	12	exploratory	exploratory	ADJ
cana-6128	72	13	assessment	assessment	NOUN
cana-6128	72	14	,	,	PUNCT
cana-6128	72	15	there	there	PRON
cana-6128	72	16	was	be	VERB
cana-6128	72	17	a	a	DET
cana-6128	72	18	series	series	NOUN
cana-6128	72	19	of	of	ADP
cana-6128	72	20	optimization	optimization	NOUN
cana-6128	72	21	loop	loop	NOUN
cana-6128	72	22	that	that	PRON
cana-6128	72	23	improved	improve	VERB
cana-6128	72	24	the	the	DET
cana-6128	72	25	performance	performance	NOUN
cana-6128	72	26	of	of	ADP
cana-6128	72	27	the	the	DET
cana-6128	72	28	model	model	NOUN
cana-6128	72	29	by	by	ADP
cana-6128	72	30	orders	order	NOUN
cana-6128	72	31	of	of	ADP
cana-6128	72	32	magnitude	magnitude	NOUN
cana-6128	72	33	,	,	PUNCT
cana-6128	72	34	mainly	mainly	ADV
cana-6128	72	35	based	base	VERB
cana-6128	72	36	upon	upon	SCONJ
cana-6128	72	37	improving	improve	VERB
cana-6128	72	38	on	on	ADP
cana-6128	72	39	the	the	DET
cana-6128	72	40	sentiment	sentiment	NOUN
cana-6128	72	41	analysis	analysis	NOUN
cana-6128	72	42	process	process	NOUN
cana-6128	72	43	.	.	PUNCT
cana-6128	73	1	this	this	DET
cana-6128	73	2	stage	stage	NOUN
cana-6128	73	3	consisted	consist	VERB
cana-6128	73	4	of	of	ADP
cana-6128	73	5	an	an	DET
cana-6128	73	6	elaborate	elaborate	ADJ
cana-6128	73	7	analysis	analysis	NOUN
cana-6128	73	8	of	of	ADP
cana-6128	73	9	the	the	DET
cana-6128	73	10	misclassifications	misclassification	NOUN
cana-6128	73	11	produced	produce	VERB
cana-6128	73	12	and	and	CCONJ
cana-6128	73	13	the	the	DET
cana-6128	73	14	feature	feature	NOUN
cana-6128	73	15	engineering	engineering	NOUN
cana-6128	73	16	that	that	PRON
cana-6128	73	17	followed	follow	VERB
cana-6128	73	18	up	up	ADP
cana-6128	73	19	on	on	ADP
cana-6128	73	20	this	this	DET
cana-6128	73	21	analysis	analysis	NOUN
cana-6128	73	22	.	.	PUNCT
cana-6128	74	1	⒈	⒈	NUM
cana-6128	74	2	misclassification	misclassification	NOUN
cana-6128	74	3	analysis	analysis	NOUN
cana-6128	74	4	:	:	PUNCT
cana-6128	74	5	one	one	NUM
cana-6128	74	6	important	important	ADJ
cana-6128	74	7	step	step	NOUN
cana-6128	74	8	was	be	AUX
cana-6128	74	9	a	a	DET
cana-6128	74	10	more	more	ADV
cana-6128	74	11	qualitative	qualitative	ADJ
cana-6128	74	12	and	and	CCONJ
cana-6128	74	13	quantitative	quantitative	ADJ
cana-6128	74	14	analysis	analysis	NOUN
cana-6128	74	15	of	of	ADP
cana-6128	74	16	cases	case	NOUN
cana-6128	74	17	being	be	AUX
cana-6128	74	18	classified	classify	VERB
cana-6128	74	19	incorrectly	incorrectly	ADV
cana-6128	74	20	from	from	ADP
cana-6128	74	21	the	the	DET
cana-6128	74	22	best	good	ADJ
cana-6128	74	23	performing	performing	NOUN
cana-6128	74	24	models	model	NOUN
cana-6128	74	25	in	in	ADP
cana-6128	74	26	the	the	DET
cana-6128	74	27	base	base	NOUN
cana-6128	74	28	step	step	NOUN
cana-6128	74	29	.	.	PUNCT
cana-6128	75	1	this	this	DET
cana-6128	75	2	deeper	deep	ADJ
cana-6128	75	3	inspection	inspection	NOUN
cana-6128	75	4	was	be	AUX
cana-6128	75	5	intended	intend	VERB
cana-6128	75	6	to	to	PART
cana-6128	75	7	reveal	reveal	VERB
cana-6128	75	8	patterns	pattern	NOUN
cana-6128	75	9	,	,	PUNCT
cana-6128	75	10	common	common	ADJ
cana-6128	75	11	mistakes	mistake	NOUN
cana-6128	75	12	,	,	PUNCT
cana-6128	75	13	or	or	CCONJ
cana-6128	75	14	idiosyncrasies	idiosyncrasy	NOUN
cana-6128	75	15	that	that	SCONJ
cana-6128	75	16	the	the	DET
cana-6128	75	17	models	model	NOUN
cana-6128	75	18	did	do	AUX
cana-6128	75	19	not	not	PART
cana-6128	75	20	capture	capture	VERB
cana-6128	75	21	well	well	ADV
cana-6128	75	22	especially	especially	ADV
cana-6128	75	23	around	around	ADP
cana-6128	75	24	the	the	DET
cana-6128	75	25	fine	fine	ADV
cana-6128	75	26	-	-	PUNCT
cana-6128	75	27	grained	grain	VERB
cana-6128	75	28	nature	nature	NOUN
cana-6128	75	29	of	of	ADP
cana-6128	75	30	sentiment	sentiment	NOUN
cana-6128	75	31	expression	expression	NOUN
cana-6128	75	32	in	in	ADP
cana-6128	75	33	cyberbullying	cyberbullye	VERB
cana-6128	75	34	.	.	PUNCT
cana-6128	76	1	we	we	PRON
cana-6128	76	2	have	have	AUX
cana-6128	76	3	discovered	discover	VERB
cana-6128	76	4	18	18	NUM
cana-6128	76	5	of	of	ADP
cana-6128	76	6	those	those	DET
cana-6128	76	7	instances	instance	NOUN
cana-6128	76	8	in	in	ADP
cana-6128	76	9	our	our	PRON
cana-6128	76	10	analysis	analysis	NOUN
cana-6128	76	11	.	.	PUNCT
cana-6128	77	1	this	this	PRON
cana-6128	77	2	often	often	ADV
cana-6128	77	3	arose	arise	VERB
cana-6128	77	4	as	as	SCONJ
cana-6128	77	5	the	the	DET
cana-6128	77	6	models	model	NOUN
cana-6128	77	7	failed	fail	VERB
cana-6128	77	8	to	to	PART
cana-6128	77	9	differentiate	differentiate	VERB
cana-6128	77	10	between	between	ADP
cana-6128	77	11	negative	negative	ADJ
cana-6128	77	12	sentiment	sentiment	NOUN
cana-6128	77	13	indicative	indicative	ADJ
cana-6128	77	14	of	of	ADP
cana-6128	77	15	bullying	bullying	NOUN
cana-6128	77	16	and	and	CCONJ
cana-6128	77	17	any	any	DET
cana-6128	77	18	negative	negative	ADJ
cana-6128	77	19	expression	expression	NOUN
cana-6128	77	20	as	as	ADP
cana-6128	77	21	sarcasm	sarcasm	NOUN
cana-6128	77	22	,	,	PUNCT
cana-6128	77	23	general	general	ADJ
cana-6128	77	24	frustration	frustration	NOUN
cana-6128	77	25	or	or	CCONJ
cana-6128	77	26	legitimate	legitimate	ADJ
cana-6128	77	27	(	(	PUNCT
cana-6128	77	28	non	non	ADJ
cana-6128	77	29	-	-	ADJ
cana-6128	77	30	bullying	bullying	ADJ
cana-6128	77	31	)	)	PUNCT
cana-6128	77	32	criticism	criticism	NOUN
cana-6128	77	33	.	.	PUNCT
cana-6128	78	1	these	these	DET
cana-6128	78	2	errors	error	NOUN
cana-6128	78	3	helped	help	VERB
cana-6128	78	4	me	i	PRON
cana-6128	78	5	pinpoint	pinpoint	VERB
cana-6128	78	6	where	where	SCONJ
cana-6128	78	7	the	the	DET
cana-6128	78	8	sentiment	sentiment	NOUN
cana-6128	78	9	-	-	PUNCT
cana-6128	78	10	based	base	VERB
cana-6128	78	11	features	feature	NOUN
cana-6128	78	12	needed	need	VERB
cana-6128	78	13	to	to	PART
cana-6128	78	14	be	be	AUX
cana-6128	78	15	improved	improve	VERB
cana-6128	78	16	.	.	PUNCT
cana-6128	79	1	for	for	ADP
cana-6128	79	2	instance	instance	NOUN
cana-6128	79	3	,	,	PUNCT
cana-6128	79	4	the	the	DET
cana-6128	79	5	models	model	NOUN
cana-6128	79	6	could	could	AUX
cana-6128	79	7	not	not	PART
cana-6128	79	8	differentiate	differentiate	VERB
cana-6128	79	9	between	between	ADP
cana-6128	79	10	an	an	DET
cana-6128	79	11	aggressive	aggressive	ADJ
cana-6128	79	12	insult	insult	NOUN
cana-6128	79	13	and	and	CCONJ
cana-6128	79	14	a	a	DET
cana-6128	79	15	strong	strong	ADJ
cana-6128	79	16	opinion	opinion	NOUN
cana-6128	79	17	,	,	PUNCT
cana-6128	79	18	hence	hence	ADV
cana-6128	79	19	misclassifying	misclassifye	VERB
cana-6128	79	20	some	some	DET
cana-6128	79	21	instances	instance	NOUN
cana-6128	79	22	,	,	PUNCT
cana-6128	79	23	and	and	CCONJ
cana-6128	79	24	indicating	indicate	VERB
cana-6128	79	25	a	a	DET
cana-6128	79	26	semantic	semantic	ADJ
cana-6128	79	27	gap	gap	NOUN
cana-6128	79	28	in	in	ADP
cana-6128	79	29	their	their	PRON
cana-6128	79	30	sentiment	sentiment	NOUN
cana-6128	79	31	interpretation	interpretation	NOUN
cana-6128	79	32	(	(	PUNCT
cana-6128	79	33	model	model	NOUN
cana-6128	79	34	comparison	comparison	NOUN
cana-6128	79	35	results	result	NOUN
cana-6128	79	36	(	(	PUNCT
cana-6128	79	37	with	with	ADP
cana-6128	79	38	cross	cross	ADJ
cana-6128	79	39	-	-	ADJ
cana-6128	79	40	validation	validation	ADJ
cana-6128	79	41	techniques	technique	NOUN
cana-6128	79	42	)	)	PUNCT
cana-6128	79	43	,	,	PUNCT
cana-6128	79	44	n.d	n.d	PROPN
cana-6128	79	45	.	.	PROPN
cana-6128	79	46	)	)	PUNCT
cana-6128	79	47	tiptap://citation/?d	tiptap://citation/?d	PUNCT
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cana-6128	79	50	tiptap://citation/?d	tiptap://citation/?d	NUM
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cana-6128	79	52	w3sib3jpz2luijoxlcj3b3jrijp7imlkcyi6eyj1cgxvywrjzci6imtmzjlfdhjqv1zhdkfizhy1tk9biiwiaxnzbii6w10simlzym4ioltdfswidhlwzsi6mcwiy29udhjpynv0b3jzijpbxswidgl0bguioijpbmrlecbnb2rlbcbwzwn0b3jpemvyienyb3nzifzhbglkyxrpb24gvgvjag5pcxvliefjy3vyywn5ifbyzwnpc2lvbibszwnhbgwgrjetu2nvcmugqvvdlvjpqyisinn1ynr5cguiont9fx1d	w3sib3jpz2luijoxlcj3b3jrijp7imlkcyi6eyj1cgxvywrjzci6imtmzjlfdhjqv1zhdkfizhy1tk9biiwiaxnzbii6w10simlzym4ioltdfswidhlwzsi6mcwiy29udhjpynv0b3jzijpbxswidgl0bguioijpbmrlecbnb2rlbcbwzwn0b3jpemvyienyb3nzifzhbglkyxrpb24gvgvjag5pcxvliefjy3vyywn5ifbyzwnpc2lvbibszwnhbgwgrjetu2nvcmugqvvdlvjpqyisinn1ynr5cguiont9fx1d	NOUN
cana-6128	79	53	tiptap://citation/?d	tiptap://citation/?d	NOUN
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cana-6128	79	56	tiptap://citation/?d	tiptap://citation/?d	NUM
cana-6128	79	57	=	=	NOUN
cana-6128	79	58	w3sib3jpz2luijoxlcj3b3jrijp7inrpdgxlijoitw9kzwwgq29tcgfyaxnvbibszxn1bhrzich3axroienyb3nzlvzhbglkyxrpb24gvgvjag5pcxvlcykilcjzdwj0exblijp7fswiawrzijp7imlzym4ioltdlcjpc3nuijpbxswidxbsb2fkswqioijzvha1sktrvzczauvyzhzja0dwwsj9lcjjb250cmlidxrvcnmioltdlcj0exblijowfx1d	w3sib3jpz2luijoxlcj3b3jrijp7inrpdgxlijoitw9kzwwgq29tcgfyaxnvbibszxn1bhrzich3axroienyb3nzlvzhbglkyxrpb24gvgvjag5pcxvlcykilcjzdwj0exblijp7fswiawrzijp7imlzym4ioltdlcjpc3nuijpbxswidxbsb2fkswqioijzvha1sktrvzczauvyzhzja0dwwsj9lcjjb250cmlidxrvcnmioltdlcj0exblijowfx1d	NOUN
cana-6128	79	59	communications	communication	NOUN
cana-6128	79	60	on	on	ADP
cana-6128	79	61	applied	apply	VERB
cana-6128	79	62	nonlinear	nonlinear	ADJ
cana-6128	79	63	analysis	analysis	NOUN
cana-6128	79	64	issn	issn	NOUN
cana-6128	79	65	:	:	PUNCT
cana-6128	79	66	1074	1074	NUM
cana-6128	79	67	-	-	PUNCT
cana-6128	79	68	133x	133x	NUM
cana-6128	79	69	vol	vol	NOUN
cana-6128	79	70	32	32	NUM
cana-6128	79	71	no	no	NOUN
cana-6128	79	72	.	.	PUNCT
cana-6128	80	1	6s	6s	NUM
cana-6128	80	2	(	(	PUNCT
cana-6128	80	3	2025	2025	NUM
cana-6128	80	4	)	)	PUNCT
cana-6128	80	5	610	610	NUM
cana-6128	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	80	7	⒉	⒉	NUM
cana-6128	80	8	feature	feature	NOUN
cana-6128	80	9	engineering	engineering	NOUN
cana-6128	80	10	:	:	PUNCT
cana-6128	80	11	new	new	ADJ
cana-6128	80	12	features	feature	NOUN
cana-6128	80	13	were	be	AUX
cana-6128	80	14	engineered	engineer	VERB
cana-6128	80	15	and	and	CCONJ
cana-6128	80	16	then	then	ADV
cana-6128	80	17	added	add	VERB
cana-6128	80	18	to	to	ADP
cana-6128	80	19	the	the	DET
cana-6128	80	20	models	model	NOUN
cana-6128	80	21	based	base	VERB
cana-6128	80	22	on	on	ADP
cana-6128	80	23	the	the	DET
cana-6128	80	24	learnings	learning	NOUN
cana-6128	80	25	from	from	ADP
cana-6128	80	26	the	the	DET
cana-6128	80	27	misclassification	misclassification	NOUN
cana-6128	80	28	analysis	analysis	NOUN
cana-6128	80	29	.	.	PUNCT
cana-6128	81	1	these	these	DET
cana-6128	81	2	new	new	ADJ
cana-6128	81	3	features	feature	NOUN
cana-6128	81	4	were	be	AUX
cana-6128	81	5	created	create	VERB
cana-6128	81	6	with	with	ADP
cana-6128	81	7	the	the	DET
cana-6128	81	8	intent	intent	NOUN
cana-6128	81	9	of	of	ADP
cana-6128	81	10	reducings	reducing	NOUN
cana-6128	81	11	the	the	DET
cana-6128	81	12	classification	classification	NOUN
cana-6128	81	13	problems	problem	NOUN
cana-6128	81	14	that	that	PRON
cana-6128	81	15	were	be	AUX
cana-6128	81	16	largely	largely	ADV
cana-6128	81	17	due	due	ADJ
cana-6128	81	18	to	to	ADP
cana-6128	81	19	a	a	DET
cana-6128	81	20	lack	lack	NOUN
cana-6128	81	21	of	of	ADP
cana-6128	81	22	resolution	resolution	NOUN
cana-6128	81	23	in	in	ADP
cana-6128	81	24	the	the	DET
cana-6128	81	25	sentiment	sentiment	NOUN
cana-6128	81	26	related	relate	VERB
cana-6128	81	27	to	to	ADP
cana-6128	81	28	the	the	DET
cana-6128	81	29	train	train	NOUN
cana-6128	81	30	and	and	CCONJ
cana-6128	81	31	test	test	NOUN
cana-6128	81	32	data	datum	NOUN
cana-6128	81	33	,	,	PUNCT
cana-6128	81	34	or	or	CCONJ
cana-6128	81	35	a	a	DET
cana-6128	81	36	lack	lack	NOUN
cana-6128	81	37	of	of	ADP
cana-6128	81	38	lexical	lexical	ADJ
cana-6128	81	39	context	context	NOUN
cana-6128	81	40	valuative	valuative	VERB
cana-6128	81	41	towards	towards	ADP
cana-6128	81	42	a	a	DET
cana-6128	81	43	potentially	potentially	ADV
cana-6128	81	44	important	important	ADJ
cana-6128	81	45	target	target	NOUN
cana-6128	81	46	that	that	PRON
cana-6128	81	47	was	be	AUX
cana-6128	81	48	perhaps	perhaps	ADV
cana-6128	81	49	not	not	PART
cana-6128	81	50	considered	consider	VERB
cana-6128	81	51	.	.	PUNCT
cana-6128	82	1	our	our	PRON
cana-6128	82	2	goal	goal	NOUN
cana-6128	82	3	was	be	AUX
cana-6128	82	4	to	to	PART
cana-6128	82	5	improve	improve	VERB
cana-6128	82	6	the	the	DET
cana-6128	82	7	models	model	NOUN
cana-6128	82	8	in	in	ADP
cana-6128	82	9	instances	instance	NOUN
cana-6128	82	10	where	where	SCONJ
cana-6128	82	11	they	they	PRON
cana-6128	82	12	misclassified	misclassifie	VERB
cana-6128	82	13	sentiment	sentiment	NOUN
cana-6128	82	14	,	,	PUNCT
cana-6128	82	15	particularly	particularly	ADV
cana-6128	82	16	where	where	SCONJ
cana-6128	82	17	sentiment	sentiment	NOUN
cana-6128	82	18	was	be	AUX
cana-6128	82	19	ambiguous	ambiguous	ADJ
cana-6128	82	20	.	.	PUNCT
cana-6128	83	1	the	the	DET
cana-6128	83	2	feature	feature	NOUN
cana-6128	83	3	selection	selection	NOUN
cana-6128	83	4	is	be	AUX
cana-6128	83	5	an	an	DET
cana-6128	83	6	essential	essential	ADJ
cana-6128	83	7	repeated	repeat	VERB
cana-6128	83	8	process	process	NOUN
cana-6128	83	9	towards	towards	ADP
cana-6128	83	10	fine	fine	ADV
cana-6128	83	11	-	-	PUNCT
cana-6128	83	12	tuning	tune	VERB
cana-6128	83	13	the	the	DET
cana-6128	83	14	capabilities	capability	NOUN
cana-6128	83	15	of	of	ADP
cana-6128	83	16	both	both	DET
cana-6128	83	17	models	model	NOUN
cana-6128	83	18	to	to	PART
cana-6128	83	19	detect	detect	VERB
cana-6128	83	20	the	the	DET
cana-6128	83	21	subtle	subtle	ADJ
cana-6128	83	22	cues	cue	NOUN
cana-6128	83	23	in	in	ADP
cana-6128	83	24	emotions	emotion	NOUN
cana-6128	83	25	present	present	ADJ
cana-6128	83	26	in	in	ADP
cana-6128	83	27	the	the	DET
cana-6128	83	28	context	context	NOUN
cana-6128	83	29	of	of	ADP
cana-6128	83	30	cyberbullying	cyberbullye	VERB
cana-6128	83	31	,	,	PUNCT
cana-6128	83	32	thereby	thereby	ADV
cana-6128	83	33	improving	improve	VERB
cana-6128	83	34	the	the	DET
cana-6128	83	35	accuracy	accuracy	NOUN
cana-6128	83	36	of	of	ADP
cana-6128	83	37	sentiment	sentiment	NOUN
cana-6128	83	38	classification	classification	NOUN
cana-6128	83	39	.	.	PUNCT
cana-6128	84	1	this	this	DET
cana-6128	84	2	systematic	systematic	ADJ
cana-6128	84	3	approach	approach	NOUN
cana-6128	84	4	ultimately	ultimately	ADV
cana-6128	84	5	culminated	culminate	VERB
cana-6128	84	6	in	in	ADP
cana-6128	84	7	a	a	DET
cana-6128	84	8	notable	notable	ADJ
cana-6128	84	9	improvement	improvement	NOUN
cana-6128	84	10	in	in	ADP
cana-6128	84	11	model	model	NOUN
cana-6128	84	12	performance	performance	NOUN
cana-6128	84	13	.	.	PUNCT
cana-6128	85	1	results	result	VERB
cana-6128	85	2	this	this	DET
cana-6128	85	3	section	section	NOUN
cana-6128	85	4	presents	present	VERB
cana-6128	85	5	the	the	DET
cana-6128	85	6	comprehensive	comprehensive	ADJ
cana-6128	85	7	evaluation	evaluation	NOUN
cana-6128	85	8	of	of	ADP
cana-6128	85	9	machine	machine	NOUN
cana-6128	85	10	learning	learning	NOUN
cana-6128	85	11	models	model	NOUN
cana-6128	85	12	employed	employ	VERB
cana-6128	85	13	for	for	ADP
cana-6128	85	14	sentiment	sentiment	NOUN
cana-6128	85	15	analysis	analysis	NOUN
cana-6128	85	16	in	in	ADP
cana-6128	85	17	bully	bully	PROPN
cana-6128	85	18	tweet	tweet	PROPN
cana-6128	85	19	detection	detection	PROPN
cana-6128	85	20	,	,	PUNCT
cana-6128	85	21	detailing	detail	VERB
cana-6128	85	22	their	their	PRON
cana-6128	85	23	initial	initial	ADJ
cana-6128	85	24	performance	performance	NOUN
cana-6128	85	25	,	,	PUNCT
cana-6128	85	26	the	the	DET
cana-6128	85	27	insights	insight	NOUN
cana-6128	85	28	gained	gain	VERB
cana-6128	85	29	from	from	ADP
cana-6128	85	30	misclassification	misclassification	NOUN
cana-6128	85	31	analysis	analysis	NOUN
cana-6128	85	32	,	,	PUNCT
cana-6128	85	33	and	and	CCONJ
cana-6128	85	34	the	the	DET
cana-6128	85	35	final	final	ADJ
cana-6128	85	36	optimized	optimize	VERB
cana-6128	85	37	outcomes	outcome	NOUN
cana-6128	85	38	after	after	ADP
cana-6128	85	39	feature	feature	NOUN
cana-6128	85	40	engineering	engineering	NOUN
cana-6128	85	41	.	.	PUNCT
cana-6128	86	1	the	the	DET
cana-6128	86	2	evaluation	evaluation	NOUN
cana-6128	86	3	metrics	metric	NOUN
cana-6128	86	4	focused	focus	VERB
cana-6128	86	5	primarily	primarily	ADV
cana-6128	86	6	on	on	ADP
cana-6128	86	7	the	the	DET
cana-6128	86	8	f1	f1	NOUN
cana-6128	86	9	-	-	PUNCT
cana-6128	86	10	score	score	NOUN
cana-6128	86	11	,	,	PUNCT
cana-6128	86	12	complemented	complement	VERB
cana-6128	86	13	by	by	ADP
cana-6128	86	14	precision	precision	NOUN
cana-6128	86	15	,	,	PUNCT
cana-6128	86	16	recall	recall	NOUN
cana-6128	86	17	,	,	PUNCT
cana-6128	86	18	and	and	CCONJ
cana-6128	86	19	accuracy	accuracy	NOUN
cana-6128	86	20	,	,	PUNCT
cana-6128	86	21	to	to	PART
cana-6128	86	22	provide	provide	VERB
cana-6128	86	23	a	a	DET
cana-6128	86	24	balanced	balanced	ADJ
cana-6128	86	25	assessment	assessment	NOUN
cana-6128	86	26	,	,	PUNCT
cana-6128	86	27	particularly	particularly	ADV
cana-6128	86	28	crucial	crucial	ADJ
cana-6128	86	29	for	for	ADP
cana-6128	86	30	imbalanced	imbalanced	ADJ
cana-6128	86	31	datasets	dataset	NOUN
cana-6128	86	32	characteristic	characteristic	ADJ
cana-6128	86	33	of	of	ADP
cana-6128	86	34	cyberbullying	cyberbullye	VERB
cana-6128	86	35	detection	detection	NOUN
cana-6128	86	36	.	.	PUNCT
cana-6128	87	1	1	1	X
cana-6128	87	2	.	.	X
cana-6128	87	3	initial	initial	ADJ
cana-6128	87	4	model	model	NOUN
cana-6128	87	5	performance	performance	NOUN
cana-6128	87	6	the	the	DET
cana-6128	87	7	initial	initial	ADJ
cana-6128	87	8	evaluation	evaluation	NOUN
cana-6128	87	9	involved	involve	VERB
cana-6128	87	10	nine	nine	NUM
cana-6128	87	11	distinct	distinct	ADJ
cana-6128	87	12	machine	machine	NOUN
cana-6128	87	13	learning	learning	NOUN
cana-6128	87	14	models	model	NOUN
cana-6128	87	15	,	,	PUNCT
cana-6128	87	16	each	each	PRON
cana-6128	87	17	trained	train	VERB
cana-6128	87	18	and	and	CCONJ
cana-6128	87	19	validated	validate	VERB
cana-6128	87	20	using	use	VERB
cana-6128	87	21	the	the	DET
cana-6128	87	22	count	count	NOUN
cana-6128	87	23	vectorizer	vectorizer	NOUN
cana-6128	87	24	for	for	ADP
cana-6128	87	25	feature	feature	NOUN
cana-6128	87	26	representation	representation	NOUN
cana-6128	87	27	and	and	CCONJ
cana-6128	87	28	the	the	DET
cana-6128	87	29	stratified	stratified	ADJ
cana-6128	87	30	shuffle	shuffle	NOUN
cana-6128	87	31	split	split	VERB
cana-6128	87	32	for	for	ADP
cana-6128	87	33	cross	cross	NOUN
cana-6128	87	34	-	-	NOUN
cana-6128	87	35	validation	validation	NOUN
cana-6128	87	36	.	.	PUNCT
cana-6128	88	1	the	the	DET
cana-6128	88	2	f1	f1	NOUN
cana-6128	88	3	-	-	PUNCT
cana-6128	88	4	score	score	NOUN
cana-6128	88	5	served	serve	VERB
cana-6128	88	6	as	as	ADP
cana-6128	88	7	the	the	DET
cana-6128	88	8	primary	primary	ADJ
cana-6128	88	9	metric	metric	NOUN
cana-6128	88	10	for	for	ADP
cana-6128	88	11	comparison	comparison	NOUN
cana-6128	88	12	.	.	PUNCT
cana-6128	89	1	the	the	DET
cana-6128	89	2	performance	performance	NOUN
cana-6128	89	3	across	across	ADP
cana-6128	89	4	all	all	DET
cana-6128	89	5	models	model	NOUN
cana-6128	89	6	,	,	PUNCT
cana-6128	89	7	before	before	ADP
cana-6128	89	8	any	any	DET
cana-6128	89	9	iterative	iterative	NOUN
cana-6128	89	10	optimization	optimization	NOUN
cana-6128	89	11	,	,	PUNCT
cana-6128	89	12	is	be	AUX
cana-6128	89	13	summarized	summarize	VERB
cana-6128	89	14	in	in	ADP
cana-6128	89	15	table	table	NOUN
cana-6128	89	16	1	1	NUM
cana-6128	89	17	,	,	PUNCT
cana-6128	89	18	drawing	draw	VERB
cana-6128	89	19	data	datum	NOUN
cana-6128	89	20	from	from	ADP
cana-6128	89	21	the	the	DET
cana-6128	89	22	comprehensive	comprehensive	ADJ
cana-6128	89	23	model	model	NOUN
cana-6128	89	24	comparison	comparison	NOUN
cana-6128	89	25	results	result	NOUN
cana-6128	89	26	(	(	PUNCT
cana-6128	89	27	model	model	NOUN
cana-6128	89	28	comparison	comparison	NOUN
cana-6128	89	29	results	result	NOUN
cana-6128	89	30	(	(	PUNCT
cana-6128	89	31	with	with	ADP
cana-6128	89	32	cross	cross	ADJ
cana-6128	89	33	-	-	ADJ
cana-6128	89	34	validation	validation	ADJ
cana-6128	89	35	techniques	technique	NOUN
cana-6128	89	36	)	)	PUNCT
cana-6128	89	37	,	,	PUNCT
cana-6128	89	38	n.d	n.d	PROPN
cana-6128	89	39	.	.	PROPN
cana-6128	89	40	)	)	PUNCT
cana-6128	89	41	.	.	PUNCT
cana-6128	90	1	table	table	NOUN
cana-6128	90	2	1	1	NUM
cana-6128	90	3	|	|	ADV
cana-6128	90	4	initial	initial	ADJ
cana-6128	90	5	f1	f1	NOUN
cana-6128	90	6	-	-	PUNCT
cana-6128	90	7	scores	score	NOUN
cana-6128	90	8	of	of	ADP
cana-6128	90	9	machine	machine	NOUN
cana-6128	90	10	learning	learning	NOUN
cana-6128	90	11	models	model	NOUN
cana-6128	90	12	model	model	VERB
cana-6128	90	13	f1	f1	ADJ
cana-6128	90	14	-	-	PUNCT
cana-6128	90	15	score	score	NOUN
cana-6128	90	16	logistic	logistic	ADJ
cana-6128	90	17	regression	regression	NOUN
cana-6128	90	18	0.845973	0.845973	NUM
cana-6128	90	19	random	random	ADJ
cana-6128	90	20	forest	forest	NOUN
cana-6128	90	21	0.838902	0.838902	NUM
cana-6128	90	22	xgboost	xgboost	NOUN
cana-6128	91	1	0.833148	0.833148	NUM
cana-6128	91	2	gradient	gradient	NOUN
cana-6128	91	3	boosting	boost	VERB
cana-6128	91	4	0.83258	0.83258	NUM
cana-6128	91	5	naive	naive	ADJ
cana-6128	91	6	bayes	bayes	NOUN
cana-6128	91	7	0.825405	0.825405	NUM
cana-6128	91	8	bagging	bag	VERB
cana-6128	91	9	0.813081	0.813081	NUM
cana-6128	91	10	communications	communication	NOUN
cana-6128	91	11	on	on	ADP
cana-6128	91	12	applied	apply	VERB
cana-6128	91	13	nonlinear	nonlinear	ADJ
cana-6128	91	14	analysis	analysis	NOUN
cana-6128	91	15	issn	issn	NOUN
cana-6128	91	16	:	:	PUNCT
cana-6128	91	17	1074	1074	NUM
cana-6128	91	18	-	-	PUNCT
cana-6128	91	19	133x	133x	NUM
cana-6128	91	20	vol	vol	NOUN
cana-6128	91	21	32	32	NUM
cana-6128	91	22	no	no	NOUN
cana-6128	91	23	.	.	PUNCT
cana-6128	92	1	6s	6s	NUM
cana-6128	92	2	(	(	PUNCT
cana-6128	92	3	2025	2025	NUM
cana-6128	92	4	)	)	PUNCT
cana-6128	92	5	611	611	NUM
cana-6128	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	92	7	support	support	NOUN
cana-6128	92	8	vector	vector	NOUN
cana-6128	92	9	machine	machine	NOUN
cana-6128	92	10	0.798541	0.798541	NUM
cana-6128	92	11	lightgbm	lightgbm	VERB
cana-6128	92	12	0.786384	0.786384	NUM
cana-6128	92	13	adaboost	adaboost	ADJ
cana-6128	92	14	0.706172	0.706172	NUM
cana-6128	92	15	based	base	VERB
cana-6128	92	16	on	on	ADP
cana-6128	92	17	these	these	DET
cana-6128	92	18	initial	initial	ADJ
cana-6128	92	19	results	result	NOUN
cana-6128	92	20	from	from	ADP
cana-6128	92	21	the	the	DET
cana-6128	92	22	comprehensive	comprehensive	ADJ
cana-6128	92	23	comparison	comparison	NOUN
cana-6128	92	24	,	,	PUNCT
cana-6128	92	25	the	the	DET
cana-6128	92	26	top	top	ADJ
cana-6128	92	27	five	five	NUM
cana-6128	92	28	performing	perform	VERB
cana-6128	92	29	models	model	NOUN
cana-6128	92	30	,	,	PUNCT
cana-6128	92	31	considering	consider	VERB
cana-6128	92	32	various	various	ADJ
cana-6128	92	33	vectorizers	vectorizer	NOUN
cana-6128	92	34	and	and	CCONJ
cana-6128	92	35	cross	cross	ADJ
cana-6128	92	36	-	-	ADJ
cana-6128	92	37	validation	validation	ADJ
cana-6128	92	38	techniques	technique	NOUN
cana-6128	92	39	,	,	PUNCT
cana-6128	92	40	were	be	AUX
cana-6128	92	41	identified	identify	VERB
cana-6128	92	42	for	for	ADP
cana-6128	92	43	more	more	ADV
cana-6128	92	44	detailed	detailed	ADJ
cana-6128	92	45	analysis	analysis	NOUN
cana-6128	92	46	.	.	PUNCT
cana-6128	93	1	table	table	NOUN
cana-6128	93	2	2	2	NUM
cana-6128	93	3	presents	present	VERB
cana-6128	93	4	their	their	PRON
cana-6128	93	5	specific	specific	ADJ
cana-6128	93	6	metrics	metric	NOUN
cana-6128	93	7	,	,	PUNCT
cana-6128	93	8	providing	provide	VERB
cana-6128	93	9	a	a	DET
cana-6128	93	10	baseline	baseline	NOUN
cana-6128	93	11	prior	prior	ADV
cana-6128	93	12	to	to	ADP
cana-6128	93	13	optimization	optimization	NOUN
cana-6128	93	14	(	(	PUNCT
cana-6128	93	15	model	model	NOUN
cana-6128	93	16	vectoriz	vectoriz	ADP
cana-6128	93	17	er	er	INTJ
cana-6128	93	18	cross	cross	NOUN
cana-6128	93	19	validatio	validatio	PROPN
cana-6128	93	20	n	n	PRON
cana-6128	93	21	accurac	accurac	NOUN
cana-6128	93	22	y	y	PROPN
cana-6128	93	23	precisio	precisio	VERB
cana-6128	93	24	n	n	PRON
cana-6128	93	25	recall	recall	VERB
cana-6128	93	26	f1score	f1score	NOUN
cana-6128	93	27	auc	auc	NOUN
cana-6128	93	28	-	-	PUNCT
cana-6128	93	29	roc	roc	NOUN
cana-6128	93	30	features	feature	NOUN
cana-6128	93	31	,	,	PUNCT
cana-6128	93	32	n.d	n.d	PROPN
cana-6128	93	33	.	.	PROPN
cana-6128	93	34	)	)	PUNCT
cana-6128	93	35	.	.	PUNCT
cana-6128	94	1	table	table	NOUN
cana-6128	94	2	2	2	NUM
cana-6128	95	1	|	|	NOUN
cana-6128	95	2	top	top	ADJ
cana-6128	95	3	5	5	NUM
cana-6128	95	4	models	model	NOUN
cana-6128	95	5	:	:	PUNCT
cana-6128	95	6	initial	initial	ADJ
cana-6128	95	7	performance	performance	NOUN
cana-6128	95	8	metrics	metric	NOUN
cana-6128	95	9	model	model	NOUN
cana-6128	95	10	vectorizer	vectorizer	PROPN
cana-6128	95	11	cross	cross	PROPN
cana-6128	95	12	validation	validation	NOUN
cana-6128	95	13	technique	technique	NOUN
cana-6128	95	14	accuracy	accuracy	NOUN
cana-6128	95	15	precision	precision	NOUN
cana-6128	95	16	recall	recall	VERB
cana-6128	95	17	f1	f1	NOUN
cana-6128	95	18	-	-	PUNCT
cana-6128	95	19	score	score	NOUN
cana-6128	95	20	auc	auc	NOUN
cana-6128	95	21	-	-	PUNCT
cana-6128	95	22	roc	roc	NOUN
cana-6128	95	23	lr	lr	PROPN
cana-6128	95	24	tf	tf	PROPN
cana-6128	95	25	-	-	PUNCT
cana-6128	95	26	idf	idf	PROPN
cana-6128	95	27	stratified	stratify	VERB
cana-6128	95	28	kfold	kfold	NOUN
cana-6128	95	29	0.81468	0.81468	NUM
cana-6128	95	30	0.79811	0.79811	NUM
cana-6128	95	31	0.89143	0.89143	NUM
cana-6128	95	32	0.80879	0.80879	NUM
cana-6128	95	33	0.89277	0.89277	NUM
cana-6128	95	34	rf	rf	ADJ
cana-6128	95	35	tf	tf	NUM
cana-6128	95	36	-	-	PUNCT
cana-6128	95	37	idf	idf	PROPN
cana-6128	95	38	stratified	stratify	VERB
cana-6128	95	39	kfold	kfold	NOUN
cana-6128	95	40	0.81309	0.81309	NUM
cana-6128	95	41	0.79763	0.79763	NUM
cana-6128	95	42	0.88857	0.88857	NUM
cana-6128	95	43	0.80715	0.80715	NUM
cana-6128	95	44	0.88614	0.88614	NUM
cana-6128	95	45	lr	lr	NOUN
cana-6128	95	46	count	count	NOUN
cana-6128	95	47	stratified	stratify	VERB
cana-6128	95	48	kfold	kfold	NOUN
cana-6128	95	49	0.80838	0.80838	NUM
cana-6128	95	50	0.80425	0.80425	NUM
cana-6128	95	51	0.86571	0.86571	NUM
cana-6128	96	1	0.80366	0.80366	NUM
cana-6128	96	2	0.89551	0.89551	NUM
cana-6128	96	3	rf	rf	NUM
cana-6128	96	4	count	count	NOUN
cana-6128	96	5	stratified	stratify	VERB
cana-6128	96	6	kfold	kfold	NOUN
cana-6128	96	7	0.80994	0.80994	NUM
cana-6128	96	8	0.78979	0.78979	NUM
cana-6128	96	9	0.89429	0.89429	NUM
cana-6128	96	10	0.80353	0.80353	NUM
cana-6128	96	11	0.89435	0.89435	NUM
cana-6128	96	12	svm	svm	PROPN
cana-6128	96	13	tf	tf	PROPN
cana-6128	96	14	-	-	PUNCT
cana-6128	96	15	idf	idf	PROPN
cana-6128	96	16	stratified	stratify	VERB
cana-6128	96	17	kfold	kfold	NOUN
cana-6128	96	18	0.80838	0.80838	NUM
cana-6128	96	19	0.79128	0.79128	NUM
cana-6128	96	20	0.88857	0.88857	NUM
cana-6128	96	21	0.80216	0.80216	NUM
cana-6128	96	22	0.89272	0.89272	NUM
cana-6128	96	23	2	2	NUM
cana-6128	96	24	.	.	PUNCT
cana-6128	96	25	misclassification	misclassification	NOUN
cana-6128	96	26	analysis	analysis	NOUN
cana-6128	96	27	and	and	CCONJ
cana-6128	96	28	feature	feature	NOUN
cana-6128	96	29	engineering	engineer	VERB
cana-6128	96	30	a	a	DET
cana-6128	96	31	critical	critical	ADJ
cana-6128	96	32	phase	phase	NOUN
cana-6128	96	33	of	of	ADP
cana-6128	96	34	this	this	DET
cana-6128	96	35	research	research	NOUN
cana-6128	96	36	involved	involve	VERB
cana-6128	96	37	a	a	DET
cana-6128	96	38	detailed	detailed	ADJ
cana-6128	96	39	misclassification	misclassification	NOUN
cana-6128	96	40	analysis	analysis	NOUN
cana-6128	96	41	of	of	ADP
cana-6128	96	42	the	the	DET
cana-6128	96	43	initial	initial	ADJ
cana-6128	96	44	top	top	ADV
cana-6128	96	45	-	-	PUNCT
cana-6128	96	46	performing	perform	VERB
cana-6128	96	47	models	model	NOUN
cana-6128	96	48	.	.	PUNCT
cana-6128	97	1	this	this	DET
cana-6128	97	2	qualitative	qualitative	ADJ
cana-6128	97	3	and	and	CCONJ
cana-6128	97	4	quantitative	quantitative	ADJ
cana-6128	97	5	examination	examination	NOUN
cana-6128	97	6	aimed	aim	VERB
cana-6128	97	7	to	to	PART
cana-6128	97	8	uncover	uncover	VERB
cana-6128	97	9	patterns	pattern	NOUN
cana-6128	97	10	,	,	PUNCT
cana-6128	97	11	recurring	recur	VERB
cana-6128	97	12	errors	error	NOUN
cana-6128	97	13	,	,	PUNCT
cana-6128	97	14	and	and	CCONJ
cana-6128	97	15	specific	specific	ADJ
cana-6128	97	16	linguistic	linguistic	ADJ
cana-6128	97	17	nuances	nuance	NOUN
cana-6128	97	18	that	that	PRON
cana-6128	97	19	the	the	DET
cana-6128	97	20	models	model	NOUN
cana-6128	97	21	failed	fail	VERB
cana-6128	97	22	to	to	PART
cana-6128	97	23	capture	capture	VERB
cana-6128	97	24	accurately	accurately	ADV
cana-6128	97	25	,	,	PUNCT
cana-6128	97	26	particularly	particularly	ADV
cana-6128	97	27	concerning	concern	VERB
cana-6128	97	28	the	the	DET
cana-6128	97	29	subtle	subtle	ADJ
cana-6128	97	30	expressions	expression	NOUN
cana-6128	97	31	of	of	ADP
cana-6128	97	32	sentiment	sentiment	NOUN
cana-6128	97	33	in	in	ADP
cana-6128	97	34	cyberbullying	cyberbullye	VERB
cana-6128	97	35	.	.	PUNCT
cana-6128	98	1	our	our	PRON
cana-6128	98	2	analysis	analysis	NOUN
cana-6128	98	3	identified	identify	VERB
cana-6128	98	4	18	18	NUM
cana-6128	98	5	specific	specific	ADJ
cana-6128	98	6	misclassified	misclassifie	VERB
cana-6128	98	7	instances	instance	NOUN
cana-6128	98	8	,	,	PUNCT
cana-6128	98	9	which	which	PRON
cana-6128	98	10	revealed	reveal	VERB
cana-6128	98	11	crucial	crucial	ADJ
cana-6128	98	12	insights	insight	NOUN
cana-6128	98	13	into	into	ADP
cana-6128	98	14	the	the	DET
cana-6128	98	15	limitations	limitation	NOUN
cana-6128	98	16	of	of	ADP
cana-6128	98	17	the	the	DET
cana-6128	98	18	initial	initial	ADJ
cana-6128	98	19	sentiment	sentiment	NOUN
cana-6128	98	20	-	-	PUNCT
cana-6128	98	21	driven	drive	VERB
cana-6128	98	22	features	feature	NOUN
cana-6128	98	23	(	(	PUNCT
cana-6128	98	24	identified	identify	VERB
cana-6128	98	25	18	18	NUM
cana-6128	98	26	misclassified	misclassifie	VERB
cana-6128	98	27	instances.pdf	instances.pdf	PRON
cana-6128	98	28	,	,	PUNCT
cana-6128	98	29	n.d	n.d	PROPN
cana-6128	98	30	.	.	PROPN
cana-6128	98	31	)	)	PUNCT
cana-6128	98	32	.	.	PUNCT
cana-6128	99	1	these	these	DET
cana-6128	99	2	misclassifications	misclassification	NOUN
cana-6128	99	3	often	often	ADV
cana-6128	99	4	stemmed	stem	VERB
cana-6128	99	5	from	from	ADP
cana-6128	99	6	the	the	DET
cana-6128	99	7	models	model	NOUN
cana-6128	99	8	'	'	PART
cana-6128	99	9	inability	inability	NOUN
cana-6128	99	10	to	to	PART
cana-6128	99	11	distinguish	distinguish	VERB
cana-6128	99	12	between	between	ADP
cana-6128	99	13	genuine	genuine	ADJ
cana-6128	99	14	negative	negative	ADJ
cana-6128	99	15	sentiment	sentiment	NOUN
cana-6128	99	16	indicative	indicative	ADJ
cana-6128	99	17	of	of	ADP
cana-6128	99	18	bullying	bullying	NOUN
cana-6128	99	19	and	and	CCONJ
cana-6128	99	20	other	other	ADJ
cana-6128	99	21	forms	form	NOUN
cana-6128	99	22	of	of	ADP
cana-6128	99	23	negative	negative	ADJ
cana-6128	99	24	expressions	expression	NOUN
cana-6128	99	25	,	,	PUNCT
cana-6128	99	26	such	such	ADJ
cana-6128	99	27	as	as	ADP
cana-6128	99	28	sarcasm	sarcasm	NOUN
cana-6128	99	29	,	,	PUNCT
cana-6128	99	30	general	general	ADJ
cana-6128	99	31	frustration	frustration	NOUN
cana-6128	99	32	,	,	PUNCT
cana-6128	99	33	or	or	CCONJ
cana-6128	99	34	legitimate	legitimate	ADJ
cana-6128	99	35	criticism	criticism	NOUN
cana-6128	99	36	that	that	PRON
cana-6128	99	37	are	be	AUX
cana-6128	99	38	not	not	PART
cana-6128	99	39	bullying	bully	VERB
cana-6128	99	40	.	.	PUNCT
cana-6128	100	1	for	for	ADP
cana-6128	100	2	instance	instance	NOUN
cana-6128	100	3	,	,	PUNCT
cana-6128	100	4	some	some	DET
cana-6128	100	5	examples	example	NOUN
cana-6128	100	6	show	show	VERB
cana-6128	100	7	tweets	tweet	NOUN
cana-6128	100	8	labeled	label	VERB
cana-6128	100	9	as	as	ADP
cana-6128	100	10	'	'	PUNCT
cana-6128	100	11	non_bully	non_bully	ADV
cana-6128	100	12	'	'	AUX
cana-6128	100	13	being	be	AUX
cana-6128	100	14	incorrectly	incorrectly	ADV
cana-6128	100	15	predicted	predict	VERB
cana-6128	100	16	as	as	ADP
cana-6128	100	17	bullying	bullying	NOUN
cana-6128	100	18	,	,	PUNCT
cana-6128	100	19	often	often	ADV
cana-6128	100	20	due	due	ADP
cana-6128	100	21	to	to	ADP
cana-6128	100	22	the	the	DET
cana-6128	100	23	presence	presence	NOUN
cana-6128	100	24	of	of	ADP
cana-6128	100	25	strong	strong	ADJ
cana-6128	100	26	negative	negative	ADJ
cana-6128	100	27	language	language	NOUN
cana-6128	100	28	or	or	CCONJ
cana-6128	100	29	perceived	perceive	VERB
cana-6128	100	30	aggressive	aggressive	ADJ
cana-6128	100	31	intent	intent	NOUN
cana-6128	100	32	that	that	PRON
cana-6128	100	33	lacked	lack	VERB
cana-6128	100	34	the	the	DET
cana-6128	100	35	true	true	ADJ
cana-6128	100	36	bullying	bullying	NOUN
cana-6128	100	37	context	context	NOUN
cana-6128	100	38	.	.	PUNCT
cana-6128	101	1	the	the	DET
cana-6128	101	2	'	'	PUNCT
cana-6128	101	3	sentiment	sentiment	NOUN
cana-6128	101	4	'	'	PUNCT
cana-6128	101	5	and	and	CCONJ
cana-6128	101	6	'	'	PUNCT
cana-6128	101	7	explain	explain	VERB
cana-6128	101	8	'	'	PUNCT
cana-6128	101	9	columns	column	NOUN
cana-6128	101	10	within	within	ADP
cana-6128	101	11	the	the	DET
cana-6128	101	12	misclassified	misclassifie	VERB
cana-6128	101	13	instances	instance	NOUN
cana-6128	101	14	data	datum	NOUN
cana-6128	101	15	provided	provide	VERB
cana-6128	101	16	detailed	detailed	ADJ
cana-6128	101	17	justifications	justification	NOUN
cana-6128	101	18	for	for	ADP
cana-6128	101	19	these	these	DET
cana-6128	101	20	errors	error	NOUN
cana-6128	101	21	,	,	PUNCT
cana-6128	101	22	guiding	guide	VERB
cana-6128	101	23	the	the	DET
cana-6128	101	24	refinement	refinement	NOUN
cana-6128	101	25	of	of	ADP
cana-6128	101	26	sentiment	sentiment	NOUN
cana-6128	101	27	interpretation	interpretation	NOUN
cana-6128	101	28	and	and	CCONJ
cana-6128	101	29	feature	feature	NOUN
cana-6128	101	30	engineering	engineering	NOUN
cana-6128	101	31	.	.	PUNCT
cana-6128	102	1	communications	communication	NOUN
cana-6128	102	2	on	on	ADP
cana-6128	102	3	applied	apply	VERB
cana-6128	102	4	nonlinear	nonlinear	ADJ
cana-6128	102	5	analysis	analysis	NOUN
cana-6128	102	6	issn	issn	NOUN
cana-6128	102	7	:	:	PUNCT
cana-6128	102	8	1074	1074	NUM
cana-6128	102	9	-	-	PUNCT
cana-6128	102	10	133x	133x	NUM
cana-6128	102	11	vol	vol	NOUN
cana-6128	102	12	32	32	NUM
cana-6128	102	13	no	no	NOUN
cana-6128	102	14	.	.	PUNCT
cana-6128	103	1	6s	6s	NUM
cana-6128	103	2	(	(	PUNCT
cana-6128	103	3	2025	2025	NUM
cana-6128	103	4	)	)	PUNCT
cana-6128	103	5	612	612	NUM
cana-6128	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	103	7	based	base	VERB
cana-6128	103	8	on	on	ADP
cana-6128	103	9	these	these	DET
cana-6128	103	10	insights	insight	NOUN
cana-6128	103	11	,	,	PUNCT
cana-6128	103	12	new	new	ADJ
cana-6128	103	13	features	feature	NOUN
cana-6128	103	14	were	be	AUX
cana-6128	103	15	engineered	engineer	VERB
cana-6128	103	16	and	and	CCONJ
cana-6128	103	17	incorporated	incorporate	VERB
cana-6128	103	18	into	into	ADP
cana-6128	103	19	the	the	DET
cana-6128	103	20	models	model	NOUN
cana-6128	103	21	.	.	PUNCT
cana-6128	104	1	these	these	DET
cana-6128	104	2	new	new	ADJ
cana-6128	104	3	features	feature	NOUN
cana-6128	104	4	were	be	AUX
cana-6128	104	5	meticulously	meticulously	ADV
cana-6128	104	6	designed	design	VERB
cana-6128	104	7	to	to	PART
cana-6128	104	8	address	address	VERB
cana-6128	104	9	the	the	DET
cana-6128	104	10	identified	identify	VERB
cana-6128	104	11	classification	classification	NOUN
cana-6128	104	12	issues	issue	NOUN
cana-6128	104	13	by	by	ADP
cana-6128	104	14	providing	provide	VERB
cana-6128	104	15	more	more	ADV
cana-6128	104	16	nuanced	nuanced	ADJ
cana-6128	104	17	sentiment	sentiment	NOUN
cana-6128	104	18	-	-	PUNCT
cana-6128	104	19	related	relate	VERB
cana-6128	104	20	attributes	attribute	NOUN
cana-6128	104	21	or	or	CCONJ
cana-6128	104	22	contextual	contextual	ADJ
cana-6128	104	23	information	information	NOUN
cana-6128	104	24	previously	previously	ADV
cana-6128	104	25	overlooked	overlook	VERB
cana-6128	104	26	.	.	PUNCT
cana-6128	105	1	this	this	DET
cana-6128	105	2	iterative	iterative	ADJ
cana-6128	105	3	process	process	NOUN
cana-6128	105	4	of	of	ADP
cana-6128	105	5	feature	feature	NOUN
cana-6128	105	6	refinement	refinement	NOUN
cana-6128	105	7	aimed	aim	VERB
cana-6128	105	8	to	to	PART
cana-6128	105	9	enhance	enhance	VERB
cana-6128	105	10	the	the	DET
cana-6128	105	11	models	model	NOUN
cana-6128	105	12	'	'	PART
cana-6128	105	13	ability	ability	NOUN
cana-6128	105	14	to	to	PART
cana-6128	105	15	interpret	interpret	VERB
cana-6128	105	16	sentiment	sentiment	NOUN
cana-6128	105	17	more	more	ADV
cana-6128	105	18	accurately	accurately	ADV
cana-6128	105	19	,	,	PUNCT
cana-6128	105	20	especially	especially	ADV
cana-6128	105	21	in	in	ADP
cana-6128	105	22	ambiguous	ambiguous	ADJ
cana-6128	105	23	cases	case	NOUN
cana-6128	105	24	that	that	PRON
cana-6128	105	25	led	lead	VERB
cana-6128	105	26	to	to	ADP
cana-6128	105	27	misclassifications	misclassification	NOUN
cana-6128	105	28	,	,	PUNCT
cana-6128	105	29	thereby	thereby	ADV
cana-6128	105	30	improving	improve	VERB
cana-6128	105	31	the	the	DET
cana-6128	105	32	overall	overall	ADJ
cana-6128	105	33	sentiment	sentiment	NOUN
cana-6128	105	34	classification	classification	NOUN
cana-6128	105	35	accuracy	accuracy	NOUN
cana-6128	105	36	.	.	PUNCT
cana-6128	106	1	3	3	X
cana-6128	106	2	.	.	NUM
cana-6128	106	3	optimized	optimize	VERB
cana-6128	106	4	model	model	NOUN
cana-6128	106	5	performance	performance	NOUN
cana-6128	106	6	the	the	DET
cana-6128	106	7	integration	integration	NOUN
cana-6128	106	8	of	of	ADP
cana-6128	106	9	newly	newly	ADV
cana-6128	106	10	engineered	engineer	VERB
cana-6128	106	11	features	feature	NOUN
cana-6128	106	12	resulted	result	VERB
cana-6128	106	13	in	in	ADP
cana-6128	106	14	a	a	DET
cana-6128	106	15	notable	notable	ADJ
cana-6128	106	16	improvement	improvement	NOUN
cana-6128	106	17	in	in	ADP
cana-6128	106	18	model	model	NOUN
cana-6128	106	19	performance	performance	NOUN
cana-6128	106	20	for	for	ADP
cana-6128	106	21	several	several	ADJ
cana-6128	106	22	classifiers	classifier	NOUN
cana-6128	106	23	.	.	PUNCT
cana-6128	107	1	the	the	DET
cana-6128	107	2	f1	f1	NOUN
cana-6128	107	3	-	-	PUNCT
cana-6128	107	4	scores	score	NOUN
cana-6128	107	5	for	for	ADP
cana-6128	107	6	the	the	DET
cana-6128	107	7	top	top	ADJ
cana-6128	107	8	models	model	NOUN
cana-6128	107	9	were	be	AUX
cana-6128	107	10	re	re	VERB
cana-6128	107	11	-	-	VERB
cana-6128	107	12	evaluated	evaluated	ADJ
cana-6128	107	13	,	,	PUNCT
cana-6128	107	14	confirming	confirm	VERB
cana-6128	107	15	the	the	DET
cana-6128	107	16	effectiveness	effectiveness	NOUN
cana-6128	107	17	of	of	ADP
cana-6128	107	18	the	the	DET
cana-6128	107	19	optimization	optimization	NOUN
cana-6128	107	20	process	process	NOUN
cana-6128	107	21	.	.	PUNCT
cana-6128	108	1	table	table	NOUN
cana-6128	108	2	3	3	NUM
cana-6128	108	3	presents	present	VERB
cana-6128	108	4	the	the	DET
cana-6128	108	5	performance	performance	NOUN
cana-6128	108	6	metrics	metric	NOUN
cana-6128	108	7	for	for	ADP
cana-6128	108	8	the	the	DET
cana-6128	108	9	top	top	ADJ
cana-6128	108	10	5	5	NUM
cana-6128	108	11	models	model	NOUN
cana-6128	108	12	after	after	ADP
cana-6128	108	13	incorporating	incorporate	VERB
cana-6128	108	14	these	these	DET
cana-6128	108	15	enhanced	enhance	VERB
cana-6128	108	16	features	feature	NOUN
cana-6128	108	17	(	(	PUNCT
cana-6128	108	18	index	index	NOUN
cana-6128	108	19	model	model	NOUN
cana-6128	108	20	vectorizer	vectorizer	PROPN
cana-6128	108	21	cross	cross	PROPN
cana-6128	108	22	validation	validation	NOUN
cana-6128	108	23	technique	technique	NOUN
cana-6128	108	24	accuracy	accuracy	NOUN
cana-6128	108	25	precision	precision	NOUN
cana-6128	108	26	recall	recall	VERB
cana-6128	108	27	f1	f1	NOUN
cana-6128	108	28	-	-	PUNCT
cana-6128	108	29	score	score	NOUN
cana-6128	108	30	auc	auc	NOUN
cana-6128	108	31	-	-	PUNCT
cana-6128	108	32	roc	roc	PROPN
cana-6128	108	33	,	,	PUNCT
cana-6128	108	34	n.d	n.d	PROPN
cana-6128	108	35	.	.	PROPN
cana-6128	108	36	)	)	PUNCT
cana-6128	108	37	.	.	PUNCT
cana-6128	109	1	table	table	NOUN
cana-6128	109	2	3	3	NUM
cana-6128	109	3	|	|	ADV
cana-6128	109	4	top	top	ADJ
cana-6128	109	5	5	5	NUM
cana-6128	109	6	models	model	NOUN
cana-6128	109	7	:	:	PUNCT
cana-6128	109	8	optimized	optimize	VERB
cana-6128	109	9	performance	performance	NOUN
cana-6128	109	10	metrics	metric	NOUN
cana-6128	109	11	model	model	NOUN
cana-6128	109	12	vectorizer	vectorizer	PROPN
cana-6128	109	13	cross	cross	PROPN
cana-6128	109	14	validation	validation	NOUN
cana-6128	109	15	technique	technique	NOUN
cana-6128	109	16	accuracy	accuracy	NOUN
cana-6128	109	17	precision	precision	NOUN
cana-6128	109	18	recall	recall	VERB
cana-6128	109	19	f1	f1	NOUN
cana-6128	109	20	-	-	PUNCT
cana-6128	109	21	score	score	NOUN
cana-6128	109	22	aucroc	aucroc	NOUN
cana-6128	109	23	xgboost	xgboost	ADP
cana-6128	109	24	count_new	count_new	PRON
cana-6128	109	25	stratified	stratify	VERB
cana-6128	109	26	shuffle	shuffle	NOUN
cana-6128	109	27	0.833333	0.833333	NUM
cana-6128	109	28	0.82881	0.82881	NUM
cana-6128	109	29	0.84	0.84	NUM
cana-6128	109	30	0.833207	0.833207	NUM
cana-6128	109	31	0.902667	0.902667	PRON
cana-6128	109	32	random	random	ADJ
cana-6128	109	33	forest	forest	NOUN
cana-6128	109	34	count_new	count_new	ADV
cana-6128	109	35	stratified	stratify	VERB
cana-6128	109	36	shuffle	shuffle	NOUN
cana-6128	110	1	0.833333	0.833333	NUM
cana-6128	110	2	0.880357	0.880357	NUM
cana-6128	110	3	0.786667	0.786667	NUM
cana-6128	110	4	0.830513	0.830513	NUM
cana-6128	110	5	0.920889	0.920889	NUM
cana-6128	110	6	gradient	gradient	NOUN
cana-6128	110	7	boosting	boost	VERB
cana-6128	110	8	count_new	count_new	ADV
cana-6128	110	9	stratified	stratify	VERB
cana-6128	110	10	shuffle	shuffle	NOUN
cana-6128	110	11	0.826667	0.826667	NUM
cana-6128	110	12	0.790751	0.790751	NUM
cana-6128	110	13	0.893333	0.893333	NUM
cana-6128	110	14	0.825526	0.825526	NUM
cana-6128	110	15	0.897333	0.897333	NUM
cana-6128	110	16	bagging	bag	VERB
cana-6128	110	17	count_new	count_new	ADV
cana-6128	110	18	stratified	stratify	VERB
cana-6128	110	19	shuffle	shuffle	NOUN
cana-6128	110	20	0.82	0.82	NUM
cana-6128	110	21	0.808417	0.808417	NUM
cana-6128	110	22	0.84	0.84	NUM
cana-6128	110	23	0.819695	0.819695	NUM
cana-6128	110	24	0.909333	0.909333	NUM
cana-6128	110	25	naive	naive	ADJ
cana-6128	110	26	bayes	bayes	NOUN
cana-6128	110	27	count_new	count_new	ADV
cana-6128	110	28	stratified	stratify	VERB
cana-6128	110	29	shuffle	shuffle	NOUN
cana-6128	110	30	0.82	0.82	NUM
cana-6128	110	31	0.870897	0.870897	NUM
cana-6128	110	32	0.76	0.76	NUM
cana-6128	110	33	0.818375	0.818375	NUM
cana-6128	110	34	0.899556	0.899556	NUM
cana-6128	110	35	as	as	SCONJ
cana-6128	110	36	demonstrated	demonstrate	VERB
cana-6128	110	37	in	in	ADP
cana-6128	110	38	table	table	NOUN
cana-6128	110	39	3	3	NUM
cana-6128	110	40	,	,	PUNCT
cana-6128	110	41	xgboost	xgboost	X
cana-6128	110	42	,	,	PUNCT
cana-6128	110	43	when	when	SCONJ
cana-6128	110	44	combined	combine	VERB
cana-6128	110	45	with	with	ADP
cana-6128	110	46	a	a	DET
cana-6128	110	47	count	count	NOUN
cana-6128	110	48	vectorizer	vectorizer	NOUN
cana-6128	110	49	(	(	PUNCT
cana-6128	110	50	count_new	count_new	ADV
cana-6128	110	51	)	)	PUNCT
cana-6128	110	52	and	and	CCONJ
cana-6128	110	53	stratified	stratify	VERB
cana-6128	110	54	shuffle	shuffle	NOUN
cana-6128	110	55	split	split	NOUN
cana-6128	110	56	,	,	PUNCT
cana-6128	110	57	emerged	emerge	VERB
cana-6128	110	58	with	with	ADP
cana-6128	110	59	an	an	DET
cana-6128	110	60	f1	f1	NOUN
cana-6128	110	61	-	-	PUNCT
cana-6128	110	62	score	score	NOUN
cana-6128	110	63	of	of	ADP
cana-6128	110	64	approximately	approximately	ADV
cana-6128	110	65	0.833	0.833	NUM
cana-6128	110	66	,	,	PUNCT
cana-6128	110	67	representing	represent	VERB
cana-6128	110	68	a	a	DET
cana-6128	110	69	strong	strong	ADJ
cana-6128	110	70	performance	performance	NOUN
cana-6128	110	71	.	.	PUNCT
cana-6128	111	1	this	this	DET
cana-6128	111	2	model	model	NOUN
cana-6128	111	3	,	,	PUNCT
cana-6128	111	4	after	after	ADP
cana-6128	111	5	iterative	iterative	NOUN
cana-6128	111	6	refinement	refinement	NOUN
cana-6128	111	7	,	,	PUNCT
cana-6128	111	8	demonstrated	demonstrate	VERB
cana-6128	111	9	an	an	DET
cana-6128	111	10	effective	effective	ADJ
cana-6128	111	11	capability	capability	NOUN
cana-6128	111	12	in	in	ADP
cana-6128	111	13	analyzing	analyze	VERB
cana-6128	111	14	the	the	DET
cana-6128	111	15	sentiment	sentiment	NOUN
cana-6128	111	16	embedded	embed	VERB
cana-6128	111	17	in	in	ADP
cana-6128	111	18	textual	textual	ADJ
cana-6128	111	19	data	datum	NOUN
cana-6128	111	20	for	for	ADP
cana-6128	111	21	cyberbullying	cyberbullye	VERB
cana-6128	111	22	detection	detection	NOUN
cana-6128	111	23	.	.	PUNCT
cana-6128	112	1	the	the	DET
cana-6128	112	2	comprehensive	comprehensive	ADJ
cana-6128	112	3	analysis	analysis	NOUN
cana-6128	112	4	of	of	ADP
cana-6128	112	5	misclassifications	misclassification	NOUN
cana-6128	112	6	and	and	CCONJ
cana-6128	112	7	subsequent	subsequent	ADJ
cana-6128	112	8	feature	feature	NOUN
cana-6128	112	9	engineering	engineering	NOUN
cana-6128	112	10	proved	prove	VERB
cana-6128	112	11	instrumental	instrumental	ADJ
cana-6128	112	12	in	in	ADP
cana-6128	112	13	refining	refine	VERB
cana-6128	112	14	the	the	DET
cana-6128	112	15	sentiment	sentiment	NOUN
cana-6128	112	16	interpretation	interpretation	NOUN
cana-6128	112	17	capabilities	capability	NOUN
cana-6128	112	18	of	of	ADP
cana-6128	112	19	the	the	DET
cana-6128	112	20	models	model	NOUN
cana-6128	112	21	,	,	PUNCT
cana-6128	112	22	leading	lead	VERB
cana-6128	112	23	to	to	ADP
cana-6128	112	24	more	more	ADV
cana-6128	112	25	robust	robust	ADJ
cana-6128	112	26	and	and	CCONJ
cana-6128	112	27	accurate	accurate	ADJ
cana-6128	112	28	cyberbullying	cyberbullye	VERB
cana-6128	112	29	detection	detection	NOUN
cana-6128	112	30	.	.	PUNCT
cana-6128	113	1	communications	communication	NOUN
cana-6128	113	2	on	on	ADP
cana-6128	113	3	applied	apply	VERB
cana-6128	113	4	nonlinear	nonlinear	ADJ
cana-6128	113	5	analysis	analysis	NOUN
cana-6128	113	6	issn	issn	NOUN
cana-6128	113	7	:	:	PUNCT
cana-6128	113	8	1074	1074	NUM
cana-6128	113	9	-	-	PUNCT
cana-6128	113	10	133x	133x	NUM
cana-6128	113	11	vol	vol	NOUN
cana-6128	113	12	32	32	NUM
cana-6128	113	13	no	no	NOUN
cana-6128	113	14	.	.	PUNCT
cana-6128	114	1	6s	6s	NUM
cana-6128	114	2	(	(	PUNCT
cana-6128	114	3	2025	2025	NUM
cana-6128	114	4	)	)	PUNCT
cana-6128	114	5	613	613	NUM
cana-6128	114	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	114	7	discussion	discussion	NOUN
cana-6128	114	8	this	this	DET
cana-6128	114	9	research	research	NOUN
cana-6128	114	10	provides	provide	VERB
cana-6128	114	11	significant	significant	ADJ
cana-6128	114	12	insights	insight	NOUN
cana-6128	114	13	into	into	ADP
cana-6128	114	14	the	the	DET
cana-6128	114	15	efficacy	efficacy	NOUN
cana-6128	114	16	of	of	ADP
cana-6128	114	17	machine	machine	NOUN
cana-6128	114	18	learning	learning	NOUN
cana-6128	114	19	models	model	NOUN
cana-6128	114	20	for	for	ADP
cana-6128	114	21	cyberbullying	cyberbullye	VERB
cana-6128	114	22	detection	detection	NOUN
cana-6128	114	23	,	,	PUNCT
cana-6128	114	24	underscoring	underscore	VERB
cana-6128	114	25	the	the	DET
cana-6128	114	26	critical	critical	ADJ
cana-6128	114	27	role	role	NOUN
cana-6128	114	28	of	of	ADP
cana-6128	114	29	iterative	iterative	NOUN
cana-6128	114	30	optimization	optimization	NOUN
cana-6128	114	31	and	and	CCONJ
cana-6128	114	32	refined	refined	ADJ
cana-6128	114	33	sentiment	sentiment	NOUN
cana-6128	114	34	interpretation	interpretation	NOUN
cana-6128	114	35	.	.	PUNCT
cana-6128	115	1	initial	initial	ADJ
cana-6128	115	2	f1	f1	PROPN
cana-6128	115	3	-	-	PUNCT
cana-6128	115	4	scores	score	NOUN
cana-6128	115	5	,	,	PUNCT
cana-6128	115	6	such	such	ADJ
cana-6128	115	7	as	as	ADP
cana-6128	115	8	0.802	0.802	NUM
cana-6128	115	9	for	for	ADP
cana-6128	115	10	logistic	logistic	ADJ
cana-6128	115	11	regression	regression	NOUN
cana-6128	115	12	and	and	CCONJ
cana-6128	115	13	0.785	0.785	NUM
cana-6128	115	14	for	for	ADP
cana-6128	115	15	random	random	ADJ
cana-6128	115	16	forest	forest	NOUN
cana-6128	115	17	,	,	PUNCT
cana-6128	115	18	established	establish	VERB
cana-6128	115	19	a	a	DET
cana-6128	115	20	baseline	baseline	NOUN
cana-6128	115	21	,	,	PUNCT
cana-6128	115	22	showing	show	VERB
cana-6128	115	23	respectable	respectable	ADJ
cana-6128	115	24	performance	performance	NOUN
cana-6128	115	25	even	even	ADV
cana-6128	115	26	without	without	ADP
cana-6128	115	27	explicit	explicit	ADJ
cana-6128	115	28	sentiment	sentiment	NOUN
cana-6128	115	29	-	-	PUNCT
cana-6128	115	30	specific	specific	ADJ
cana-6128	115	31	feature	feature	NOUN
cana-6128	115	32	engineering	engineering	NOUN
cana-6128	115	33	.	.	PUNCT
cana-6128	116	1	a	a	DET
cana-6128	116	2	pivotal	pivotal	ADJ
cana-6128	116	3	misclassification	misclassification	NOUN
cana-6128	116	4	analysis	analysis	NOUN
cana-6128	116	5	of	of	ADP
cana-6128	116	6	18	18	NUM
cana-6128	116	7	specific	specific	ADJ
cana-6128	116	8	instances	instance	NOUN
cana-6128	116	9	revealed	reveal	VERB
cana-6128	116	10	that	that	SCONJ
cana-6128	116	11	initial	initial	ADJ
cana-6128	116	12	models	model	NOUN
cana-6128	116	13	struggled	struggle	VERB
cana-6128	116	14	to	to	PART
cana-6128	116	15	differentiate	differentiate	VERB
cana-6128	116	16	genuine	genuine	ADJ
cana-6128	116	17	bullying	bullying	NOUN
cana-6128	116	18	sentiment	sentiment	NOUN
cana-6128	116	19	from	from	ADP
cana-6128	116	20	other	other	ADJ
cana-6128	116	21	negative	negative	ADJ
cana-6128	116	22	expressions	expression	NOUN
cana-6128	116	23	like	like	ADP
cana-6128	116	24	sarcasm	sarcasm	NOUN
cana-6128	116	25	or	or	CCONJ
cana-6128	116	26	criticism	criticism	NOUN
cana-6128	116	27	.	.	PUNCT
cana-6128	117	1	this	this	PRON
cana-6128	117	2	highlighted	highlight	VERB
cana-6128	117	3	a	a	DET
cana-6128	117	4	gap	gap	NOUN
cana-6128	117	5	in	in	ADP
cana-6128	117	6	sentiment	sentiment	NOUN
cana-6128	117	7	interpretation	interpretation	NOUN
cana-6128	117	8	due	due	ADP
cana-6128	117	9	to	to	ADP
cana-6128	117	10	contextual	contextual	ADJ
cana-6128	117	11	subtleties	subtlety	NOUN
cana-6128	117	12	,	,	PUNCT
cana-6128	117	13	where	where	SCONJ
cana-6128	117	14	deeper	deep	ADJ
cana-6128	117	15	contextual	contextual	ADJ
cana-6128	117	16	and	and	CCONJ
cana-6128	117	17	semantic	semantic	ADJ
cana-6128	117	18	understanding	understanding	NOUN
cana-6128	117	19	was	be	AUX
cana-6128	117	20	needed	need	VERB
cana-6128	117	21	.	.	PUNCT
cana-6128	118	1	insights	insight	NOUN
cana-6128	118	2	from	from	ADP
cana-6128	118	3	this	this	DET
cana-6128	118	4	analysis	analysis	NOUN
cana-6128	118	5	informed	inform	VERB
cana-6128	118	6	subsequent	subsequent	ADJ
cana-6128	118	7	feature	feature	NOUN
cana-6128	118	8	engineering	engineering	NOUN
cana-6128	118	9	,	,	PUNCT
cana-6128	118	10	leading	lead	VERB
cana-6128	118	11	to	to	ADP
cana-6128	118	12	new	new	ADJ
cana-6128	118	13	,	,	PUNCT
cana-6128	118	14	nuanced	nuanced	ADJ
cana-6128	118	15	sentiment	sentiment	NOUN
cana-6128	118	16	-	-	PUNCT
cana-6128	118	17	related	relate	VERB
cana-6128	118	18	attributes	attribute	NOUN
cana-6128	118	19	.	.	PUNCT
cana-6128	119	1	this	this	DET
cana-6128	119	2	iterative	iterative	NOUN
cana-6128	119	3	approach	approach	NOUN
cana-6128	119	4	,	,	PUNCT
cana-6128	119	5	where	where	SCONJ
cana-6128	119	6	model	model	NOUN
cana-6128	119	7	errors	error	NOUN
cana-6128	119	8	drive	drive	VERB
cana-6128	119	9	feature	feature	NOUN
cana-6128	119	10	enhancement	enhancement	NOUN
cana-6128	119	11	,	,	PUNCT
cana-6128	119	12	proved	prove	VERB
cana-6128	119	13	crucial	crucial	ADJ
cana-6128	119	14	.	.	PUNCT
cana-6128	120	1	the	the	DET
cana-6128	120	2	optimized	optimize	VERB
cana-6128	120	3	xgboost	xgboost	PROPN
cana-6128	120	4	model	model	PROPN
cana-6128	120	5	,	,	PUNCT
cana-6128	120	6	for	for	ADP
cana-6128	120	7	instance	instance	NOUN
cana-6128	120	8	,	,	PUNCT
cana-6128	120	9	achieved	achieve	VERB
cana-6128	120	10	an	an	DET
cana-6128	120	11	f1score	f1score	NOUN
cana-6128	120	12	of	of	ADP
cana-6128	120	13	approximately	approximately	ADV
cana-6128	120	14	0.833	0.833	NUM
cana-6128	120	15	,	,	PUNCT
cana-6128	120	16	a	a	DET
cana-6128	120	17	notable	notable	ADJ
cana-6128	120	18	improvement	improvement	NOUN
cana-6128	120	19	over	over	ADP
cana-6128	120	20	its	its	PRON
cana-6128	120	21	initial	initial	ADJ
cana-6128	120	22	0.812	0.812	NUM
cana-6128	120	23	.	.	PUNCT
cana-6128	121	1	this	this	PRON
cana-6128	121	2	demonstrates	demonstrate	VERB
cana-6128	121	3	that	that	SCONJ
cana-6128	121	4	focused	focused	ADJ
cana-6128	121	5	feature	feature	NOUN
cana-6128	121	6	engineering	engineering	NOUN
cana-6128	121	7	,	,	PUNCT
cana-6128	121	8	particularly	particularly	ADV
cana-6128	121	9	targeting	target	VERB
cana-6128	121	10	malicious	malicious	ADJ
cana-6128	121	11	intent	intent	NOUN
cana-6128	121	12	,	,	PUNCT
cana-6128	121	13	significantly	significantly	ADV
cana-6128	121	14	enhances	enhance	VERB
cana-6128	121	15	model	model	NOUN
cana-6128	121	16	robustness	robustness	NOUN
cana-6128	121	17	and	and	CCONJ
cana-6128	121	18	accuracy	accuracy	NOUN
cana-6128	121	19	.	.	PUNCT
cana-6128	122	1	the	the	DET
cana-6128	122	2	study	study	NOUN
cana-6128	122	3	confirms	confirm	VERB
cana-6128	122	4	the	the	DET
cana-6128	122	5	profound	profound	ADJ
cana-6128	122	6	potential	potential	NOUN
cana-6128	122	7	of	of	ADP
cana-6128	122	8	machine	machine	NOUN
cana-6128	122	9	learning	learning	NOUN
cana-6128	122	10	,	,	PUNCT
cana-6128	122	11	through	through	ADP
cana-6128	122	12	iteratively	iteratively	ADV
cana-6128	122	13	refined	refine	VERB
cana-6128	122	14	sentiment	sentiment	NOUN
cana-6128	122	15	analysis	analysis	NOUN
cana-6128	122	16	,	,	PUNCT
cana-6128	122	17	in	in	ADP
cana-6128	122	18	addressing	address	VERB
cana-6128	122	19	cyberbullying	cyberbullying	NOUN
cana-6128	122	20	.	.	PUNCT
cana-6128	123	1	while	while	SCONJ
cana-6128	123	2	the	the	DET
cana-6128	123	3	0.833	0.833	NUM
cana-6128	123	4	f1	f1	NOUN
cana-6128	123	5	-	-	PUNCT
cana-6128	123	6	score	score	NOUN
cana-6128	123	7	represents	represent	VERB
cana-6128	123	8	strong	strong	ADJ
cana-6128	123	9	performance	performance	NOUN
cana-6128	123	10	,	,	PUNCT
cana-6128	123	11	further	further	ADJ
cana-6128	123	12	refinement	refinement	NOUN
cana-6128	123	13	is	be	AUX
cana-6128	123	14	needed	need	VERB
cana-6128	123	15	to	to	PART
cana-6128	123	16	handle	handle	VERB
cana-6128	123	17	the	the	DET
cana-6128	123	18	evolving	evolve	VERB
cana-6128	123	19	nature	nature	NOUN
cana-6128	123	20	of	of	ADP
cana-6128	123	21	online	online	ADJ
cana-6128	123	22	language	language	NOUN
cana-6128	123	23	and	and	CCONJ
cana-6128	123	24	contextual	contextual	ADJ
cana-6128	123	25	subtleties	subtlety	NOUN
cana-6128	123	26	.	.	PUNCT
cana-6128	124	1	references	reference	NOUN
cana-6128	124	2	1	1	NUM
cana-6128	124	3	.	.	PUNCT
cana-6128	125	1	alabdulwahab	alabdulwahab	PROPN
cana-6128	125	2	,	,	PUNCT
cana-6128	125	3	a.	a.	NOUN
cana-6128	125	4	,	,	PUNCT
cana-6128	125	5	haq	haq	PROPN
cana-6128	125	6	,	,	PUNCT
cana-6128	125	7	m.	m.	NOUN
cana-6128	125	8	a.	a.	PROPN
cana-6128	125	9	,	,	PUNCT
cana-6128	125	10	&	&	CCONJ
cana-6128	125	11	alshehri	alshehri	PROPN
cana-6128	125	12	,	,	PUNCT
cana-6128	125	13	m.	m.	NOUN
cana-6128	125	14	s.	s.	PROPN
cana-6128	125	15	(	(	PUNCT
cana-6128	125	16	2023	2023	NUM
cana-6128	125	17	)	)	PUNCT
cana-6128	125	18	.	.	PUNCT
cana-6128	126	1	cyberbullying	cyberbullye	VERB
cana-6128	126	2	detection	detection	NOUN
cana-6128	126	3	using	use	VERB
cana-6128	126	4	machine	machine	NOUN
cana-6128	126	5	learning	learning	NOUN
cana-6128	126	6	and	and	CCONJ
cana-6128	126	7	deep	deep	ADJ
cana-6128	126	8	learning	learning	NOUN
cana-6128	126	9	.	.	PUNCT
cana-6128	127	1	international	international	ADJ
cana-6128	127	2	journal	journal	NOUN
cana-6128	127	3	of	of	ADP
cana-6128	127	4	advanced	advanced	ADJ
cana-6128	127	5	computer	computer	NOUN
cana-6128	127	6	science	science	NOUN
cana-6128	127	7	and	and	CCONJ
cana-6128	127	8	applications	application	NOUN
cana-6128	127	9	,	,	PUNCT
cana-6128	127	10	14(10	14(10	NUM
cana-6128	127	11	)	)	PUNCT
cana-6128	127	12	.	.	PUNCT
cana-6128	128	1	https://doi.org/10.14569/ijacsa.2023.0141045	https://doi.org/10.14569/ijacsa.2023.0141045	PROPN
cana-6128	128	2	communications	communication	NOUN
cana-6128	128	3	on	on	ADP
cana-6128	128	4	applied	apply	VERB
cana-6128	128	5	nonlinear	nonlinear	ADJ
cana-6128	128	6	analysis	analysis	NOUN
cana-6128	128	7	issn	issn	NOUN
cana-6128	128	8	:	:	PUNCT
cana-6128	128	9	1074	1074	NUM
cana-6128	128	10	-	-	PUNCT
cana-6128	128	11	133x	133x	NUM
cana-6128	128	12	vol	vol	NOUN
cana-6128	128	13	32	32	NUM
cana-6128	128	14	no	no	NOUN
cana-6128	128	15	.	.	PUNCT
cana-6128	129	1	6s	6s	NUM
cana-6128	129	2	(	(	PUNCT
cana-6128	129	3	2025	2025	NUM
cana-6128	129	4	)	)	PUNCT
cana-6128	129	5	614	614	NUM
cana-6128	129	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-6128	129	7	2	2	NUM
cana-6128	129	8	.	.	PUNCT
cana-6128	129	9	emmery	emmery	PROPN
cana-6128	129	10	,	,	PUNCT
cana-6128	129	11	c.	c.	PROPN
cana-6128	129	12	,	,	PUNCT
cana-6128	129	13	verhoeven	verhoeven	PROPN
cana-6128	129	14	,	,	PUNCT
cana-6128	129	15	b.	b.	PROPN
cana-6128	129	16	,	,	PUNCT
cana-6128	129	17	pauw	pauw	PROPN
cana-6128	129	18	,	,	PUNCT
cana-6128	129	19	g.	g.	PROPN
cana-6128	129	20	d.	d.	PROPN
cana-6128	129	21	,	,	PUNCT
cana-6128	129	22	jacobs	jacobs	PROPN
cana-6128	129	23	,	,	PUNCT
cana-6128	129	24	g.	g.	PROPN
cana-6128	129	25	,	,	PUNCT
cana-6128	129	26	hee	hee	PROPN
cana-6128	129	27	,	,	PUNCT
cana-6128	129	28	c.	c.	PROPN
cana-6128	129	29	v.	v.	PROPN
cana-6128	129	30	,	,	PUNCT
cana-6128	129	31	lefever	lefever	PROPN
cana-6128	129	32	,	,	PUNCT
cana-6128	129	33	e.	e.	PROPN
cana-6128	129	34	,	,	PUNCT
cana-6128	129	35	desmet	desmet	PROPN
cana-6128	129	36	,	,	PUNCT
cana-6128	129	37	b.	b.	PROPN
cana-6128	129	38	,	,	PUNCT
cana-6128	129	39	hoste	hoste	PROPN
cana-6128	129	40	,	,	PUNCT
cana-6128	129	41	v.	v.	PROPN
cana-6128	129	42	,	,	PUNCT
cana-6128	129	43	&	&	CCONJ
cana-6128	129	44	daelemans	daeleman	NOUN
cana-6128	129	45	,	,	PUNCT
cana-6128	129	46	w.	w.	NOUN
cana-6128	129	47	(	(	PUNCT
cana-6128	129	48	2020	2020	NUM
cana-6128	129	49	)	)	PUNCT
cana-6128	129	50	.	.	PUNCT
cana-6128	130	1	current	current	ADJ
cana-6128	130	2	limitations	limitation	NOUN
cana-6128	130	3	in	in	ADP
cana-6128	130	4	cyberbullying	cyberbullye	VERB
cana-6128	130	5	detection	detection	NOUN
cana-6128	130	6	:	:	PUNCT
cana-6128	130	7	on	on	ADP
cana-6128	130	8	evaluation	evaluation	NOUN
cana-6128	130	9	criteria	criterion	NOUN
cana-6128	130	10	,	,	PUNCT
cana-6128	130	11	reproducibility	reproducibility	NOUN
cana-6128	130	12	,	,	PUNCT
cana-6128	130	13	and	and	CCONJ
cana-6128	130	14	data	datum	NOUN
cana-6128	130	15	scarcity	scarcity	NOUN
cana-6128	130	16	.	.	PUNCT
cana-6128	131	1	language	language	NOUN
cana-6128	131	2	resources	resource	NOUN
cana-6128	131	3	and	and	CCONJ
cana-6128	131	4	evaluation	evaluation	NOUN
cana-6128	131	5	,	,	PUNCT
cana-6128	131	6	55(3	55(3	NUM
cana-6128	131	7	)	)	PUNCT
cana-6128	131	8	,	,	PUNCT
cana-6128	131	9	597	597	NUM
cana-6128	131	10	.	.	X
cana-6128	132	1	https://doi.org/10.1007/s10579-020-09509-1	https://doi.org/10.1007/s10579-020-09509-1	NUM
cana-6128	132	2	3	3	NUM
cana-6128	132	3	.	.	PUNCT
cana-6128	133	1	fati	fati	PROPN
cana-6128	133	2	,	,	PUNCT
cana-6128	133	3	s.	s.	PROPN
cana-6128	133	4	m.	m.	PROPN
cana-6128	133	5	(	(	PUNCT
cana-6128	133	6	2021	2021	NUM
cana-6128	133	7	)	)	PUNCT
cana-6128	133	8	.	.	PUNCT
cana-6128	134	1	detecting	detect	VERB
cana-6128	134	2	cyberbullying	cyberbullye	VERB
cana-6128	134	3	across	across	ADP
cana-6128	134	4	social	social	ADJ
cana-6128	134	5	media	medium	NOUN
cana-6128	134	6	platforms	platform	NOUN
cana-6128	134	7	in	in	ADP
cana-6128	134	8	saudi	saudi	PROPN
cana-6128	134	9	arabia	arabia	PROPN
cana-6128	134	10	using	use	VERB
cana-6128	134	11	sentiment	sentiment	NOUN
cana-6128	134	12	analysis	analysis	NOUN
cana-6128	134	13	:	:	PUNCT
cana-6128	134	14	a	a	DET
cana-6128	134	15	case	case	NOUN
cana-6128	134	16	study	study	NOUN
cana-6128	134	17	.	.	PUNCT
cana-6128	135	1	the	the	DET
cana-6128	135	2	computer	computer	NOUN
cana-6128	135	3	journal	journal	NOUN
cana-6128	135	4	,	,	PUNCT
cana-6128	135	5	65(7	65(7	NUM
cana-6128	135	6	)	)	PUNCT
cana-6128	135	7	,	,	PUNCT
cana-6128	135	8	1787	1787	NUM
cana-6128	135	9	.	.	PUNCT
cana-6128	135	10	https://doi.org/10.1093/comjnl/bxab019	https://doi.org/10.1093/comjnl/bxab019	PROPN
cana-6128	136	1	4	4	NUM
cana-6128	136	2	.	.	X
cana-6128	136	3	joseph	joseph	PROPN
cana-6128	136	4	,	,	PUNCT
cana-6128	136	5	v.	v.	ADV
cana-6128	136	6	,	,	PUNCT
cana-6128	136	7	prathap	prathap	NOUN
cana-6128	136	8	,	,	PUNCT
cana-6128	136	9	b.	b.	PROPN
cana-6128	136	10	r.	r.	PROPN
cana-6128	136	11	,	,	PUNCT
cana-6128	136	12	&	&	CCONJ
cana-6128	136	13	kumar	kumar	PROPN
cana-6128	136	14	,	,	PUNCT
cana-6128	136	15	k.	k.	PROPN
cana-6128	136	16	p.	p.	PROPN
cana-6128	136	17	(	(	PUNCT
cana-6128	136	18	2024	2024	NUM
cana-6128	136	19	)	)	PUNCT
cana-6128	136	20	.	.	PUNCT
cana-6128	137	1	detecting	detect	VERB
cana-6128	137	2	cyberbullying	cyberbullye	VERB
cana-6128	137	3	in	in	ADP
cana-6128	137	4	twitter	twitter	NOUN
cana-6128	137	5	:	:	PUNCT
cana-6128	137	6	a	a	DET
cana-6128	137	7	multi	multi	ADJ
cana-6128	137	8	-	-	ADJ
cana-6128	137	9	model	model	ADJ
cana-6128	137	10	approach	approach	NOUN
cana-6128	137	11	.	.	PUNCT
cana-6128	138	1	1	1	X
cana-6128	138	2	.	.	X
cana-6128	138	3	https://doi.org/10.1109/icdecs59733.2023.10502699	https://doi.org/10.1109/icdecs59733.2023.10502699	PROPN
cana-6128	138	4	5	5	NUM
cana-6128	138	5	.	.	PUNCT
cana-6128	139	1	khairy	khairy	PROPN
cana-6128	139	2	,	,	PUNCT
cana-6128	139	3	m.	m.	NOUN
cana-6128	139	4	,	,	PUNCT
cana-6128	139	5	mahmoud	mahmoud	PROPN
cana-6128	139	6	,	,	PUNCT
cana-6128	139	7	t.	t.	NOUN
cana-6128	139	8	m.	m.	NOUN
cana-6128	139	9	,	,	PUNCT
cana-6128	139	10	&	&	CCONJ
cana-6128	139	11	el‐hafeez	el‐hafeez	PROPN
cana-6128	139	12	,	,	PUNCT
cana-6128	139	13	t.	t.	NOUN
cana-6128	139	14	a.	a.	NOUN
cana-6128	139	15	(	(	PUNCT
cana-6128	139	16	2023	2023	NUM
cana-6128	139	17	)	)	PUNCT
cana-6128	139	18	.	.	PUNCT
cana-6128	140	1	the	the	DET
cana-6128	140	2	effect	effect	NOUN
cana-6128	140	3	of	of	ADP
cana-6128	140	4	rebalancing	rebalancing	NOUN
cana-6128	140	5	techniques	technique	NOUN
cana-6128	140	6	on	on	ADP
cana-6128	140	7	the	the	DET
cana-6128	140	8	classification	classification	NOUN
cana-6128	140	9	performance	performance	NOUN
cana-6128	140	10	in	in	ADP
cana-6128	140	11	cyberbullying	cyberbullye	VERB
cana-6128	140	12	datasets	dataset	NOUN
cana-6128	140	13	.	.	PUNCT
cana-6128	141	1	neural	neural	ADJ
cana-6128	141	2	computing	computing	NOUN
cana-6128	141	3	and	and	CCONJ
cana-6128	141	4	applications	application	NOUN
cana-6128	141	5	,	,	PUNCT
cana-6128	141	6	36(3	36(3	NUM
cana-6128	141	7	)	)	PUNCT
cana-6128	141	8	,	,	PUNCT
cana-6128	141	9	1049	1049	NUM
cana-6128	141	10	.	.	PUNCT
cana-6128	142	1	https://doi.org/10.1007/s00521-023-09084w	https://doi.org/10.1007/s00521-023-09084w	PROPN
cana-6128	142	2	6	6	NUM
cana-6128	142	3	.	.	PUNCT
cana-6128	142	4	li	li	PROPN
cana-6128	142	5	,	,	PUNCT
cana-6128	142	6	l.	l.	PROPN
cana-6128	142	7	,	,	PUNCT
cana-6128	142	8	zhou	zhou	PROPN
cana-6128	142	9	,	,	PUNCT
cana-6128	142	10	j.	j.	PROPN
cana-6128	142	11	,	,	PUNCT
cana-6128	142	12	mcmanus	mcmanus	PROPN
cana-6128	142	13	,	,	PUNCT
cana-6128	142	14	s.	s.	PROPN
cana-6128	142	15	,	,	PUNCT
cana-6128	142	16	stewart	stewart	PROPN
cana-6128	142	17	,	,	PUNCT
cana-6128	142	18	r.	r.	PROPN
cana-6128	142	19	,	,	PUNCT
cana-6128	142	20	&	&	CCONJ
cana-6128	142	21	roberts	roberts	PROPN
cana-6128	142	22	,	,	PUNCT
cana-6128	142	23	a.	a.	NOUN
cana-6128	142	24	(	(	PUNCT
cana-6128	142	25	2024	2024	NUM
cana-6128	142	26	)	)	PUNCT
cana-6128	142	27	.	.	PUNCT
cana-6128	143	1	social	social	ADJ
cana-6128	143	2	media	medium	NOUN
cana-6128	143	3	users	user	NOUN
cana-6128	143	4	’	’	PART
cana-6128	143	5	attitudes	attitude	NOUN
cana-6128	143	6	toward	toward	ADP
cana-6128	143	7	cyberbullying	cyberbullye	VERB
cana-6128	143	8	during	during	ADP
cana-6128	143	9	the	the	DET
cana-6128	143	10	covid-19	covid-19	PROPN
cana-6128	143	11	pandemic	pandemic	NOUN
cana-6128	143	12	:	:	PUNCT
cana-6128	143	13	associations	association	NOUN
cana-6128	143	14	with	with	ADP
cana-6128	143	15	gender	gender	NOUN
cana-6128	143	16	and	and	CCONJ
cana-6128	143	17	verification	verification	NOUN
cana-6128	143	18	status	status	NOUN
cana-6128	143	19	.	.	PUNCT
cana-6128	144	1	frontiers	frontier	NOUN
cana-6128	144	2	in	in	ADP
cana-6128	144	3	psychology	psychology	NOUN
cana-6128	144	4	,	,	PUNCT
cana-6128	144	5	15	15	NUM
cana-6128	144	6	.	.	PUNCT
cana-6128	145	1	https://doi.org/10.3389/fpsyg.2024.1395668	https://doi.org/10.3389/fpsyg.2024.1395668	PROPN
cana-6128	145	2	7	7	PROPN
cana-6128	145	3	.	.	PUNCT
cana-6128	145	4	muneer	muneer	NOUN
cana-6128	145	5	,	,	PUNCT
cana-6128	145	6	a.	a.	NOUN
cana-6128	145	7	,	,	PUNCT
cana-6128	145	8	&	&	CCONJ
cana-6128	145	9	fati	fati	PROPN
cana-6128	145	10	,	,	PUNCT
cana-6128	145	11	s.	s.	PROPN
cana-6128	145	12	m.	m.	PROPN
cana-6128	145	13	(	(	PUNCT
cana-6128	145	14	2020	2020	NUM
cana-6128	145	15	)	)	PUNCT
cana-6128	145	16	.	.	PUNCT
cana-6128	146	1	a	a	DET
cana-6128	146	2	comparative	comparative	ADJ
cana-6128	146	3	analysis	analysis	NOUN
cana-6128	146	4	of	of	ADP
cana-6128	146	5	machine	machine	NOUN
cana-6128	146	6	learning	learn	VERB
cana-6128	146	7	techniques	technique	NOUN
cana-6128	146	8	for	for	ADP
cana-6128	146	9	cyberbullying	cyberbullye	VERB
cana-6128	146	10	detection	detection	NOUN
cana-6128	146	11	on	on	ADP
cana-6128	146	12	twitter	twitter	NOUN
cana-6128	146	13	.	.	PUNCT
cana-6128	147	1	future	future	ADJ
cana-6128	147	2	internet	internet	NOUN
cana-6128	147	3	,	,	PUNCT
cana-6128	147	4	12(11	12(11	NUM
cana-6128	147	5	)	)	PUNCT
cana-6128	147	6	,	,	PUNCT
cana-6128	147	7	187	187	NUM
cana-6128	147	8	.	.	PUNCT
cana-6128	148	1	https://doi.org/10.3390/fi12110187	https://doi.org/10.3390/fi12110187	NUM
cana-6128	148	2	8	8	NUM
cana-6128	148	3	.	.	X
cana-6128	149	1	nina	nina	PROPN
cana-6128	149	2	-	-	PROPN
cana-6128	149	3	gutiérrez	gutiérrez	PROPN
cana-6128	149	4	,	,	PUNCT
cana-6128	149	5	e.	e.	PROPN
cana-6128	149	6	a.	a.	PROPN
cana-6128	149	7	,	,	PUNCT
cana-6128	149	8	pacheco	pacheco	PROPN
cana-6128	149	9	-	-	PUNCT
cana-6128	149	10	alanya	alanya	PROPN
cana-6128	149	11	,	,	PUNCT
cana-6128	149	12	j.	j.	PROPN
cana-6128	149	13	e.	e.	PROPN
cana-6128	149	14	,	,	PUNCT
cana-6128	149	15	&	&	CCONJ
cana-6128	149	16	morales	morales	PROPN
cana-6128	149	17	-	-	PUNCT
cana-6128	149	18	arevalo	arevalo	PROPN
cana-6128	149	19	,	,	PUNCT
cana-6128	149	20	j.	j.	PROPN
cana-6128	149	21	c.	c.	PROPN
cana-6128	149	22	(	(	PUNCT
cana-6128	149	23	2024	2024	NUM
cana-6128	149	24	)	)	PUNCT
cana-6128	149	25	.	.	PUNCT
cana-6128	150	1	socialbullyalert	socialbullyalert	NOUN
cana-6128	150	2	:	:	PUNCT
cana-6128	150	3	a	a	DET
cana-6128	150	4	web	web	NOUN
cana-6128	150	5	application	application	NOUN
cana-6128	150	6	for	for	ADP
cana-6128	150	7	cyberbullying	cyberbullye	VERB
cana-6128	150	8	detection	detection	NOUN
cana-6128	150	9	on	on	ADP
cana-6128	150	10	minors	minor	NOUN
cana-6128	150	11	’	’	PART
cana-6128	150	12	social	social	ADJ
cana-6128	150	13	media	medium	NOUN
cana-6128	150	14	.	.	PUNCT
cana-6128	151	1	international	international	ADJ
cana-6128	151	2	journal	journal	NOUN
cana-6128	151	3	of	of	ADP
cana-6128	151	4	advanced	advanced	ADJ
cana-6128	151	5	computer	computer	NOUN
cana-6128	151	6	science	science	NOUN
cana-6128	151	7	and	and	CCONJ
cana-6128	151	8	applications	application	NOUN
cana-6128	151	9	,	,	PUNCT
cana-6128	151	10	15(7	15(7	NUM
cana-6128	151	11	)	)	PUNCT
cana-6128	151	12	.	.	PUNCT
cana-6128	152	1	https://doi.org/10.14569/ijacsa.2024.0150776	https://doi.org/10.14569/ijacsa.2024.0150776	PROPN
cana-6128	152	2	9	9	NUM
cana-6128	152	3	.	.	X
cana-6128	152	4	ostayeva	ostayeva	PROPN
cana-6128	152	5	,	,	PUNCT
cana-6128	152	6	a.	a.	PROPN
cana-6128	152	7	,	,	PUNCT
cana-6128	152	8	kozhamkulova	kozhamkulova	PROPN
cana-6128	152	9	,	,	PUNCT
cana-6128	152	10	z.	z.	PROPN
cana-6128	152	11	,	,	PUNCT
cana-6128	152	12	kozhamkulova	kozhamkulova	PROPN
cana-6128	152	13	,	,	PUNCT
cana-6128	152	14	z.	z.	PROPN
cana-6128	152	15	,	,	PUNCT
cana-6128	152	16	aimakhanov	aimakhanov	VERB
cana-6128	152	17	,	,	PUNCT
cana-6128	152	18	y.	y.	PROPN
cana-6128	152	19	,	,	PUNCT
cana-6128	152	20	abylkhassenova	abylkhassenova	PROPN
cana-6128	152	21	,	,	PUNCT
cana-6128	152	22	d.	d.	PROPN
cana-6128	152	23	,	,	PUNCT
cana-6128	152	24	serik	serik	PROPN
cana-6128	152	25	,	,	PUNCT
cana-6128	152	26	a.	a.	NOUN
cana-6128	152	27	,	,	PUNCT
cana-6128	152	28	turganbay	turganbay	PROPN
cana-6128	152	29	,	,	PUNCT
cana-6128	152	30	k.	k.	PROPN
cana-6128	152	31	,	,	PUNCT
cana-6128	152	32	&	&	CCONJ
cana-6128	152	33	tenizbayev	tenizbayev	PROPN
cana-6128	152	34	,	,	PUNCT
cana-6128	152	35	y.	y.	PROPN
cana-6128	152	36	(	(	PUNCT
cana-6128	152	37	2024	2024	NUM
cana-6128	152	38	)	)	PUNCT
cana-6128	152	39	.	.	PUNCT
cana-6128	153	1	utilizing	utilize	VERB
cana-6128	153	2	machine	machine	NOUN
cana-6128	153	3	learning	learning	NOUN
cana-6128	153	4	and	and	CCONJ
cana-6128	153	5	deep	deep	ADJ
cana-6128	153	6	learning	learning	NOUN
cana-6128	153	7	approaches	approach	NOUN
cana-6128	153	8	for	for	ADP
cana-6128	153	9	the	the	DET
cana-6128	153	10	detection	detection	NOUN
cana-6128	153	11	of	of	ADP
cana-6128	153	12	cyberbullying	cyberbullye	VERB
cana-6128	153	13	issues	issue	NOUN
cana-6128	153	14	.	.	PUNCT
cana-6128	154	1	international	international	ADJ
cana-6128	154	2	journal	journal	NOUN
cana-6128	154	3	of	of	ADP
cana-6128	154	4	advanced	advanced	ADJ
cana-6128	154	5	computer	computer	NOUN
cana-6128	154	6	science	science	NOUN
cana-6128	154	7	and	and	CCONJ
cana-6128	154	8	applications	application	NOUN
cana-6128	154	9	,	,	PUNCT
cana-6128	154	10	15(6	15(6	NUM
cana-6128	154	11	)	)	PUNCT
cana-6128	154	12	.	.	PUNCT
cana-6128	155	1	https://doi.org/10.14569/ijacsa.2024.01506117	https://doi.org/10.14569/ijacsa.2024.01506117	ADJ
cana-6128	155	2	10	10	NUM
cana-6128	155	3	.	.	PUNCT
cana-6128	156	1	salawu	salawu	PROPN
cana-6128	156	2	,	,	PUNCT
cana-6128	156	3	s.	s.	PROPN
cana-6128	156	4	,	,	PUNCT
cana-6128	156	5	he	he	PRON
cana-6128	156	6	,	,	PUNCT
cana-6128	156	7	y.	y.	PROPN
cana-6128	156	8	,	,	PUNCT
cana-6128	156	9	&	&	CCONJ
cana-6128	156	10	lumsden	lumsden	PROPN
cana-6128	156	11	,	,	PUNCT
cana-6128	156	12	j.	j.	PROPN
cana-6128	156	13	(	(	PUNCT
cana-6128	156	14	2017	2017	NUM
cana-6128	156	15	)	)	PUNCT
cana-6128	156	16	.	.	PUNCT
cana-6128	157	1	approaches	approach	NOUN
cana-6128	157	2	to	to	ADP
cana-6128	157	3	automated	automate	VERB
cana-6128	157	4	detection	detection	NOUN
cana-6128	157	5	of	of	ADP
cana-6128	157	6	cyberbullying	cyberbullye	VERB
cana-6128	157	7	:	:	PUNCT
cana-6128	157	8	a	a	DET
cana-6128	157	9	survey	survey	NOUN
cana-6128	157	10	.	.	PUNCT
cana-6128	158	1	ieee	ieee	NOUN
cana-6128	158	2	transactions	transaction	NOUN
cana-6128	158	3	on	on	ADP
cana-6128	158	4	affective	affective	ADJ
cana-6128	158	5	computing	computing	NOUN
cana-6128	158	6	,	,	PUNCT
cana-6128	158	7	11(1	11(1	NUM
cana-6128	158	8	)	)	PUNCT
cana-6128	158	9	,	,	PUNCT
cana-6128	158	10	3	3	X
cana-6128	158	11	.	.	PUNCT
cana-6128	158	12	https://doi.org/10.1109/taffc.2017.2761757	https://doi.org/10.1109/taffc.2017.2761757	NOUN