id	sid	tid	token	lemma	pos
easat-10581	1	1	edelweiss	edelweiss	PROPN
easat-10581	1	2	applied	apply	VERB
easat-10581	1	3	science	science	NOUN
easat-10581	1	4	and	and	CCONJ
easat-10581	1	5	technology	technology	NOUN
easat-10581	1	6	issn	issn	PROPN
easat-10581	1	7	:	:	PUNCT
easat-10581	1	8	2576	2576	NUM
easat-10581	1	9	-	-	SYM
easat-10581	1	10	8484	8484	NUM
easat-10581	1	11	vol	vol	NOUN
easat-10581	1	12	.	.	PROPN
easat-10581	2	1	9	9	NUM
easat-10581	2	2	,	,	PUNCT
easat-10581	2	3	no	no	INTJ
easat-10581	2	4	.	.	NOUN
easat-10581	2	5	10	10	NUM
easat-10581	2	6	,	,	PUNCT
easat-10581	2	7	992	992	NUM
easat-10581	2	8	-	-	SYM
easat-10581	2	9	1004	1004	NUM
easat-10581	2	10	2025	2025	NUM
easat-10581	2	11	publisher	publisher	NOUN
easat-10581	2	12	:	:	PUNCT
easat-10581	2	13	learning	learn	VERB
easat-10581	2	14	gate	gate	NOUN
easat-10581	2	15	doi	doi	PROPN
easat-10581	2	16	:	:	PUNCT
easat-10581	2	17	10.55214/2576	10.55214/2576	NUM
easat-10581	2	18	-	-	SYM
easat-10581	2	19	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	3	1	©	©	ADP
easat-10581	3	2	2025	2025	NUM
easat-10581	3	3	by	by	ADP
easat-10581	3	4	the	the	DET
easat-10581	3	5	authors	author	NOUN
easat-10581	3	6	;	;	PUNCT
easat-10581	3	7	licensee	licensee	PROPN
easat-10581	3	8	learning	learning	NOUN
easat-10581	3	9	gate	gate	NOUN
easat-10581	3	10	©	©	PROPN
easat-10581	3	11	2025	2025	NUM
easat-10581	3	12	by	by	ADP
easat-10581	3	13	the	the	DET
easat-10581	3	14	authors	author	NOUN
easat-10581	3	15	;	;	PUNCT
easat-10581	3	16	licensee	licensee	PROPN
easat-10581	3	17	learning	learning	NOUN
easat-10581	3	18	gate	gate	NOUN
easat-10581	3	19	history	history	NOUN
easat-10581	3	20	:	:	PUNCT
easat-10581	3	21	received	receive	VERB
easat-10581	3	22	:	:	PUNCT
easat-10581	3	23	30	30	NUM
easat-10581	3	24	july	july	NOUN
easat-10581	3	25	2025	2025	NUM
easat-10581	3	26	;	;	PUNCT
easat-10581	3	27	revised	revise	VERB
easat-10581	3	28	:	:	PUNCT
easat-10581	3	29	17	17	NUM
easat-10581	3	30	september	september	PROPN
easat-10581	3	31	2025	2025	NUM
easat-10581	3	32	;	;	PUNCT
easat-10581	3	33	accepted	accept	VERB
easat-10581	3	34	:	:	PUNCT
easat-10581	3	35	22	22	NUM
easat-10581	3	36	september	september	PROPN
easat-10581	3	37	2025	2025	NUM
easat-10581	3	38	;	;	PUNCT
easat-10581	3	39	published	publish	VERB
easat-10581	3	40	:	:	PUNCT
easat-10581	4	1	16	16	NUM
easat-10581	4	2	october	october	PROPN
easat-10581	4	3	2025	2025	NUM
easat-10581	4	4	*	*	PUNCT
easat-10581	4	5	correspondence	correspondence	NOUN
easat-10581	4	6	:	:	PUNCT
easat-10581	4	7	ls30441@seeu.edu.mk	ls30441@seeu.edu.mk	ADJ
easat-10581	4	8	predicting	predict	VERB
easat-10581	4	9	road	road	NOUN
easat-10581	4	10	accident	accident	NOUN
easat-10581	4	11	risks	risk	NOUN
easat-10581	4	12	using	use	VERB
easat-10581	4	13	web	web	NOUN
easat-10581	4	14	data	datum	NOUN
easat-10581	4	15	:	:	PUNCT
easat-10581	4	16	a	a	DET
easat-10581	4	17	classification	classification	NOUN
easat-10581	4	18	approach	approach	NOUN
easat-10581	4	19	luan	luan	PROPN
easat-10581	4	20	sinanaj1	sinanaj1	PROPN
easat-10581	4	21	*	*	PROPN
easat-10581	4	22	,	,	PUNCT
easat-10581	4	23	erind	erind	PROPN
easat-10581	4	24	bedalli2	bedalli2	PROPN
easat-10581	4	25	,	,	PUNCT
easat-10581	4	26	lejla	lejla	VERB
easat-10581	4	27	abazi	abazi	NOUN
easat-10581	4	28	-	-	PUNCT
easat-10581	4	29	bexheti3	bexheti3	NOUN
easat-10581	4	30	1,3south	1,3south	PROPN
easat-10581	4	31	east	east	PROPN
easat-10581	4	32	european	european	PROPN
easat-10581	4	33	university	university	PROPN
easat-10581	4	34	,	,	PUNCT
easat-10581	4	35	north	north	NOUN
easat-10581	4	36	macedonia	macedonia	PROPN
easat-10581	4	37	;	;	PUNCT
easat-10581	4	38	ls30441@seeu.edu.mk	ls30441@seeu.edu.mk	NOUN
easat-10581	4	39	(	(	PUNCT
easat-10581	4	40	l.s	l.s	PROPN
easat-10581	4	41	.	.	PUNCT
easat-10581	4	42	)	)	PUNCT
easat-10581	5	1	l.abazi@seeu.edu.mk	l.abazi@seeu.edu.mk	PROPN
easat-10581	5	2	(	(	PUNCT
easat-10581	5	3	l.a.b	l.a.b	PROPN
easat-10581	5	4	.	.	PUNCT
easat-10581	5	5	)	)	PUNCT
easat-10581	5	6	.	.	PUNCT
easat-10581	6	1	2university	2university	NUM
easat-10581	6	2	of	of	ADP
easat-10581	6	3	elbasan	elbasan	NOUN
easat-10581	6	4	,	,	PUNCT
easat-10581	6	5	albania	albania	PROPN
easat-10581	6	6	;	;	PUNCT
easat-10581	6	7	erind.bedalli@uniel.edu.al	erind.bedalli@uniel.edu.al	X
easat-10581	6	8	(	(	PUNCT
easat-10581	6	9	e.b	e.b	PROPN
easat-10581	6	10	.	.	PUNCT
easat-10581	6	11	)	)	PUNCT
easat-10581	6	12	.	.	PUNCT
easat-10581	7	1	abstract	abstract	ADV
easat-10581	7	2	:	:	PUNCT
easat-10581	7	3	with	with	ADP
easat-10581	7	4	the	the	DET
easat-10581	7	5	rapidly	rapidly	ADV
easat-10581	7	6	increasing	increase	VERB
easat-10581	7	7	rates	rate	NOUN
easat-10581	7	8	of	of	ADP
easat-10581	7	9	vehicle	vehicle	NOUN
easat-10581	7	10	usage	usage	NOUN
easat-10581	7	11	during	during	ADP
easat-10581	7	12	recent	recent	ADJ
easat-10581	7	13	decades	decade	NOUN
easat-10581	7	14	,	,	PUNCT
easat-10581	7	15	road	road	NOUN
easat-10581	7	16	accidents	accident	NOUN
easat-10581	7	17	have	have	AUX
easat-10581	7	18	become	become	VERB
easat-10581	7	19	a	a	DET
easat-10581	7	20	significant	significant	ADJ
easat-10581	7	21	concern	concern	NOUN
easat-10581	7	22	,	,	PUNCT
easat-10581	7	23	posing	pose	VERB
easat-10581	7	24	not	not	PART
easat-10581	7	25	only	only	ADV
easat-10581	7	26	risks	risk	NOUN
easat-10581	7	27	of	of	ADP
easat-10581	7	28	injuries	injury	NOUN
easat-10581	7	29	but	but	CCONJ
easat-10581	7	30	also	also	ADV
easat-10581	7	31	ranking	rank	VERB
easat-10581	7	32	among	among	ADP
easat-10581	7	33	the	the	DET
easat-10581	7	34	leading	lead	VERB
easat-10581	7	35	causes	cause	NOUN
easat-10581	7	36	of	of	ADP
easat-10581	7	37	fatalities	fatality	NOUN
easat-10581	7	38	for	for	ADP
easat-10581	7	39	young	young	ADJ
easat-10581	7	40	and	and	CCONJ
easat-10581	7	41	middle	middle	ADJ
easat-10581	7	42	-	-	PUNCT
easat-10581	7	43	aged	aged	ADJ
easat-10581	7	44	individuals	individual	NOUN
easat-10581	7	45	.	.	PUNCT
easat-10581	8	1	several	several	ADJ
easat-10581	8	2	factors	factor	NOUN
easat-10581	8	3	influence	influence	VERB
easat-10581	8	4	the	the	DET
easat-10581	8	5	occurrence	occurrence	NOUN
easat-10581	8	6	of	of	ADP
easat-10581	8	7	accidents	accident	NOUN
easat-10581	8	8	,	,	PUNCT
easat-10581	8	9	including	include	VERB
easat-10581	8	10	careless	careless	ADJ
easat-10581	8	11	driving	driving	NOUN
easat-10581	8	12	,	,	PUNCT
easat-10581	8	13	atmospheric	atmospheric	ADJ
easat-10581	8	14	conditions	condition	NOUN
easat-10581	8	15	,	,	PUNCT
easat-10581	8	16	speeding	speeding	NOUN
easat-10581	8	17	,	,	PUNCT
easat-10581	8	18	and	and	CCONJ
easat-10581	8	19	driving	drive	VERB
easat-10581	8	20	under	under	ADP
easat-10581	8	21	the	the	DET
easat-10581	8	22	influence	influence	NOUN
easat-10581	8	23	.	.	PUNCT
easat-10581	9	1	understanding	understand	VERB
easat-10581	9	2	the	the	DET
easat-10581	9	3	circumstances	circumstance	NOUN
easat-10581	9	4	that	that	PRON
easat-10581	9	5	lead	lead	VERB
easat-10581	9	6	to	to	ADP
easat-10581	9	7	a	a	DET
easat-10581	9	8	greater	great	ADJ
easat-10581	9	9	risk	risk	NOUN
easat-10581	9	10	of	of	ADP
easat-10581	9	11	road	road	NOUN
easat-10581	9	12	accidents	accident	NOUN
easat-10581	9	13	is	be	AUX
easat-10581	9	14	very	very	ADV
easat-10581	9	15	helpful	helpful	ADJ
easat-10581	9	16	for	for	ADP
easat-10581	9	17	their	their	PRON
easat-10581	9	18	prevention	prevention	NOUN
easat-10581	9	19	.	.	PUNCT
easat-10581	10	1	the	the	DET
easat-10581	10	2	primary	primary	ADJ
easat-10581	10	3	goal	goal	NOUN
easat-10581	10	4	of	of	ADP
easat-10581	10	5	this	this	DET
easat-10581	10	6	work	work	NOUN
easat-10581	10	7	is	be	AUX
easat-10581	10	8	to	to	PART
easat-10581	10	9	explore	explore	VERB
easat-10581	10	10	patterns	pattern	NOUN
easat-10581	10	11	in	in	ADP
easat-10581	10	12	road	road	NOUN
easat-10581	10	13	accidents	accident	NOUN
easat-10581	10	14	that	that	PRON
easat-10581	10	15	have	have	AUX
easat-10581	10	16	occurred	occur	VERB
easat-10581	10	17	within	within	ADP
easat-10581	10	18	the	the	DET
easat-10581	10	19	state	state	NOUN
easat-10581	10	20	of	of	ADP
easat-10581	10	21	albania	albania	PROPN
easat-10581	10	22	based	base	VERB
easat-10581	10	23	on	on	ADP
easat-10581	10	24	web	web	NOUN
easat-10581	10	25	data	datum	NOUN
easat-10581	10	26	scraped	scrape	VERB
easat-10581	10	27	from	from	ADP
easat-10581	10	28	news	news	NOUN
easat-10581	10	29	portals	portal	NOUN
easat-10581	10	30	and	and	CCONJ
easat-10581	10	31	reports	report	NOUN
easat-10581	10	32	from	from	ADP
easat-10581	10	33	governmental	governmental	ADJ
easat-10581	10	34	institutions	institution	NOUN
easat-10581	10	35	.	.	PUNCT
easat-10581	11	1	the	the	DET
easat-10581	11	2	data	data	PROPN
easat-10581	11	3	mining	mining	NOUN
easat-10581	11	4	pipeline	pipeline	NOUN
easat-10581	11	5	first	first	ADV
easat-10581	11	6	involves	involve	VERB
easat-10581	11	7	an	an	DET
easat-10581	11	8	intensive	intensive	ADJ
easat-10581	11	9	data	datum	NOUN
easat-10581	11	10	preprocessing	preprocessing	NOUN
easat-10581	11	11	phase	phase	NOUN
easat-10581	11	12	where	where	SCONJ
easat-10581	11	13	scraping	scraping	NOUN
easat-10581	11	14	,	,	PUNCT
easat-10581	11	15	filtering	filtering	NOUN
easat-10581	11	16	,	,	PUNCT
easat-10581	11	17	and	and	CCONJ
easat-10581	11	18	refining	refining	NOUN
easat-10581	11	19	techniques	technique	NOUN
easat-10581	11	20	are	be	AUX
easat-10581	11	21	employed	employ	VERB
easat-10581	11	22	.	.	PUNCT
easat-10581	12	1	subsequently	subsequently	ADV
easat-10581	12	2	,	,	PUNCT
easat-10581	12	3	several	several	ADJ
easat-10581	12	4	classification	classification	NOUN
easat-10581	12	5	models	model	NOUN
easat-10581	12	6	are	be	AUX
easat-10581	12	7	built	build	VERB
easat-10581	12	8	on	on	ADP
easat-10581	12	9	the	the	DET
easat-10581	12	10	preprocessed	preprocesse	VERB
easat-10581	12	11	data	datum	NOUN
easat-10581	12	12	.	.	PUNCT
easat-10581	13	1	these	these	DET
easat-10581	13	2	models	model	NOUN
easat-10581	13	3	are	be	AUX
easat-10581	13	4	developed	develop	VERB
easat-10581	13	5	using	use	VERB
easat-10581	13	6	various	various	ADJ
easat-10581	13	7	methodologies	methodology	NOUN
easat-10581	13	8	,	,	PUNCT
easat-10581	13	9	including	include	VERB
easat-10581	13	10	naïve	naïve	ADJ
easat-10581	13	11	bayes	baye	NOUN
easat-10581	13	12	,	,	PUNCT
easat-10581	13	13	random	random	ADJ
easat-10581	13	14	forests	forest	NOUN
easat-10581	13	15	,	,	PUNCT
easat-10581	13	16	xgboost	xgboost	ADV
easat-10581	13	17	,	,	PUNCT
easat-10581	13	18	and	and	CCONJ
easat-10581	13	19	lightgbm	lightgbm	ADJ
easat-10581	13	20	.	.	PUNCT
easat-10581	14	1	the	the	DET
easat-10581	14	2	constructed	construct	VERB
easat-10581	14	3	classification	classification	NOUN
easat-10581	14	4	models	model	NOUN
easat-10581	14	5	are	be	AUX
easat-10581	14	6	evaluated	evaluate	VERB
easat-10581	14	7	based	base	VERB
easat-10581	14	8	on	on	ADP
easat-10581	14	9	training	training	NOUN
easat-10581	14	10	-	-	PUNCT
easat-10581	14	11	test	test	NOUN
easat-10581	14	12	splitting	splitting	NOUN
easat-10581	14	13	of	of	ADP
easat-10581	14	14	the	the	DET
easat-10581	14	15	preprocessed	preprocesse	VERB
easat-10581	14	16	data	datum	NOUN
easat-10581	14	17	using	use	VERB
easat-10581	14	18	various	various	ADJ
easat-10581	14	19	performance	performance	NOUN
easat-10581	14	20	measures	measure	NOUN
easat-10581	14	21	.	.	PUNCT
easat-10581	15	1	finally	finally	ADV
easat-10581	15	2	,	,	PUNCT
easat-10581	15	3	these	these	DET
easat-10581	15	4	models	model	NOUN
easat-10581	15	5	can	can	AUX
easat-10581	15	6	be	be	AUX
easat-10581	15	7	used	use	VERB
easat-10581	15	8	to	to	PART
easat-10581	15	9	predict	predict	VERB
easat-10581	15	10	the	the	DET
easat-10581	15	11	likelihood	likelihood	NOUN
easat-10581	15	12	of	of	ADP
easat-10581	15	13	accidents	accident	NOUN
easat-10581	15	14	based	base	VERB
easat-10581	15	15	on	on	ADP
easat-10581	15	16	certain	certain	ADJ
easat-10581	15	17	circumstances	circumstance	NOUN
easat-10581	15	18	.	.	PUNCT
easat-10581	16	1	keywords	keyword	NOUN
easat-10581	16	2	:	:	PUNCT
easat-10581	16	3	classification	classification	NOUN
easat-10581	16	4	algorithms	algorithm	NOUN
easat-10581	16	5	,	,	PUNCT
easat-10581	16	6	data	datum	NOUN
easat-10581	16	7	preprocessing	preprocessing	NOUN
easat-10581	16	8	,	,	PUNCT
easat-10581	16	9	ensemble	ensemble	ADJ
easat-10581	16	10	methods	method	NOUN
easat-10581	16	11	,	,	PUNCT
easat-10581	16	12	road	road	NOUN
easat-10581	16	13	accidents	accident	NOUN
easat-10581	16	14	prediction	prediction	NOUN
easat-10581	16	15	,	,	PUNCT
easat-10581	16	16	web	web	NOUN
easat-10581	16	17	scraping	scraping	NOUN
easat-10581	16	18	.	.	PUNCT
easat-10581	17	1	1	1	X
easat-10581	17	2	.	.	X
easat-10581	17	3	introduction	introduction	NOUN
easat-10581	17	4	road	road	NOUN
easat-10581	17	5	accidents	accident	NOUN
easat-10581	17	6	have	have	AUX
easat-10581	17	7	been	be	AUX
easat-10581	17	8	a	a	DET
easat-10581	17	9	serious	serious	ADJ
easat-10581	17	10	problem	problem	NOUN
easat-10581	17	11	in	in	ADP
easat-10581	17	12	recent	recent	ADJ
easat-10581	17	13	decades	decade	NOUN
easat-10581	17	14	in	in	ADP
easat-10581	17	15	every	every	DET
easat-10581	17	16	country	country	NOUN
easat-10581	17	17	of	of	ADP
easat-10581	17	18	the	the	DET
easat-10581	17	19	world	world	NOUN
easat-10581	17	20	,	,	PUNCT
easat-10581	17	21	and	and	CCONJ
easat-10581	17	22	this	this	PRON
easat-10581	17	23	has	have	AUX
easat-10581	17	24	also	also	ADV
easat-10581	17	25	occurred	occur	VERB
easat-10581	17	26	due	due	ADP
easat-10581	17	27	to	to	ADP
easat-10581	17	28	the	the	DET
easat-10581	17	29	increase	increase	NOUN
easat-10581	17	30	in	in	ADP
easat-10581	17	31	the	the	DET
easat-10581	17	32	use	use	NOUN
easat-10581	17	33	of	of	ADP
easat-10581	17	34	vehicles	vehicle	NOUN
easat-10581	17	35	.	.	PUNCT
easat-10581	18	1	the	the	DET
easat-10581	18	2	created	create	VERB
easat-10581	18	3	situation	situation	NOUN
easat-10581	18	4	requires	require	VERB
easat-10581	18	5	better	well	ADJ
easat-10581	18	6	management	management	NOUN
easat-10581	18	7	of	of	ADP
easat-10581	18	8	the	the	DET
easat-10581	18	9	problem	problem	NOUN
easat-10581	18	10	of	of	ADP
easat-10581	18	11	road	road	NOUN
easat-10581	18	12	accidents	accident	NOUN
easat-10581	18	13	to	to	PART
easat-10581	18	14	maximize	maximize	VERB
easat-10581	18	15	the	the	DET
easat-10581	18	16	safety	safety	NOUN
easat-10581	18	17	of	of	ADP
easat-10581	18	18	citizens	citizen	NOUN
easat-10581	18	19	.	.	PUNCT
easat-10581	19	1	the	the	DET
easat-10581	19	2	reasons	reason	NOUN
easat-10581	19	3	why	why	SCONJ
easat-10581	19	4	road	road	NOUN
easat-10581	19	5	accidents	accident	NOUN
easat-10581	19	6	occur	occur	VERB
easat-10581	19	7	are	be	AUX
easat-10581	19	8	among	among	ADP
easat-10581	19	9	the	the	DET
easat-10581	19	10	most	most	ADV
easat-10581	19	11	diverse	diverse	ADJ
easat-10581	19	12	,	,	PUNCT
easat-10581	19	13	such	such	ADJ
easat-10581	19	14	as	as	ADP
easat-10581	19	15	disobedience	disobedience	NOUN
easat-10581	19	16	to	to	PART
easat-10581	19	17	road	road	NOUN
easat-10581	19	18	traffic	traffic	NOUN
easat-10581	19	19	rules	rule	NOUN
easat-10581	19	20	by	by	ADP
easat-10581	19	21	drivers	driver	NOUN
easat-10581	19	22	or	or	CCONJ
easat-10581	19	23	pedestrians	pedestrian	NOUN
easat-10581	19	24	,	,	PUNCT
easat-10581	19	25	causes	cause	VERB
easat-10581	19	26	related	relate	VERB
easat-10581	19	27	to	to	ADP
easat-10581	19	28	the	the	DET
easat-10581	19	29	weather	weather	NOUN
easat-10581	19	30	and	and	CCONJ
easat-10581	19	31	natural	natural	ADJ
easat-10581	19	32	phenomena	phenomenon	NOUN
easat-10581	19	33	,	,	PUNCT
easat-10581	19	34	or	or	CCONJ
easat-10581	19	35	problems	problem	NOUN
easat-10581	19	36	related	relate	VERB
easat-10581	19	37	to	to	ADP
easat-10581	19	38	good	good	ADJ
easat-10581	19	39	or	or	CCONJ
easat-10581	19	40	bad	bad	ADJ
easat-10581	19	41	adaptation	adaptation	NOUN
easat-10581	19	42	of	of	ADP
easat-10581	19	43	the	the	DET
easat-10581	19	44	road	road	NOUN
easat-10581	19	45	infrastructure	infrastructure	NOUN
easat-10581	19	46	.	.	PUNCT
easat-10581	20	1	in	in	ADP
easat-10581	20	2	this	this	DET
easat-10581	20	3	context	context	NOUN
easat-10581	20	4	,	,	PUNCT
easat-10581	20	5	automated	automate	VERB
easat-10581	20	6	tools	tool	NOUN
easat-10581	20	7	for	for	ADP
easat-10581	20	8	identifying	identify	VERB
easat-10581	20	9	key	key	ADJ
easat-10581	20	10	accident	accident	NOUN
easat-10581	20	11	causes	cause	NOUN
easat-10581	20	12	and	and	CCONJ
easat-10581	20	13	geographic	geographic	ADJ
easat-10581	20	14	areas	area	NOUN
easat-10581	20	15	of	of	ADP
easat-10581	20	16	elevated	elevated	ADJ
easat-10581	20	17	risk	risk	NOUN
easat-10581	20	18	would	would	AUX
easat-10581	20	19	be	be	AUX
easat-10581	20	20	of	of	ADP
easat-10581	20	21	significant	significant	ADJ
easat-10581	20	22	utility	utility	NOUN
easat-10581	20	23	in	in	ADP
easat-10581	20	24	order	order	NOUN
easat-10581	20	25	to	to	PART
easat-10581	20	26	guide	guide	VERB
easat-10581	20	27	prevention	prevention	NOUN
easat-10581	20	28	strategies	strategy	NOUN
easat-10581	20	29	from	from	ADP
easat-10581	20	30	responsible	responsible	ADJ
easat-10581	20	31	entities	entity	NOUN
easat-10581	20	32	as	as	ADV
easat-10581	20	33	well	well	ADV
easat-10581	20	34	as	as	ADP
easat-10581	20	35	to	to	PART
easat-10581	20	36	sensitize	sensitize	VERB
easat-10581	20	37	citizens	citizen	NOUN
easat-10581	20	38	.	.	PUNCT
easat-10581	21	1	while	while	SCONJ
easat-10581	21	2	albania	albania	PROPN
easat-10581	21	3	faces	face	VERB
easat-10581	21	4	a	a	DET
easat-10581	21	5	substantial	substantial	ADJ
easat-10581	21	6	burden	burden	NOUN
easat-10581	21	7	of	of	ADP
easat-10581	21	8	road	road	NOUN
easat-10581	21	9	traffic	traffic	NOUN
easat-10581	21	10	accidents	accident	NOUN
easat-10581	21	11	,	,	PUNCT
easat-10581	21	12	the	the	DET
easat-10581	21	13	data	datum	NOUN
easat-10581	21	14	available	available	ADJ
easat-10581	21	15	from	from	ADP
easat-10581	21	16	official	official	ADJ
easat-10581	21	17	institutions	institution	NOUN
easat-10581	21	18	are	be	AUX
easat-10581	21	19	,	,	PUNCT
easat-10581	21	20	in	in	ADP
easat-10581	21	21	general	general	ADJ
easat-10581	21	22	,	,	PUNCT
easat-10581	21	23	limited	limit	VERB
easat-10581	21	24	to	to	PART
easat-10581	21	25	aggregated	aggregate	VERB
easat-10581	21	26	monthly	monthly	ADJ
easat-10581	21	27	statistics	statistic	NOUN
easat-10581	21	28	.	.	PUNCT
easat-10581	22	1	the	the	DET
easat-10581	22	2	national	national	PROPN
easat-10581	22	3	statistics	statistics	PROPN
easat-10581	22	4	institute	institute	PROPN
easat-10581	22	5	and	and	CCONJ
easat-10581	22	6	the	the	DET
easat-10581	22	7	ministry	ministry	PROPN
easat-10581	22	8	of	of	ADP
easat-10581	22	9	the	the	DET
easat-10581	22	10	interior	interior	PROPN
easat-10581	22	11	of	of	ADP
easat-10581	22	12	albania	albania	PROPN
easat-10581	22	13	only	only	ADV
easat-10581	22	14	provide	provide	VERB
easat-10581	22	15	periodic	periodic	ADJ
easat-10581	22	16	reports	report	NOUN
easat-10581	22	17	summarizing	summarize	VERB
easat-10581	22	18	statistics	statistic	NOUN
easat-10581	22	19	on	on	ADP
easat-10581	22	20	road	road	NOUN
easat-10581	22	21	accidents	accident	NOUN
easat-10581	22	22	,	,	PUNCT
easat-10581	22	23	as	as	ADV
easat-10581	22	24	well	well	ADV
easat-10581	22	25	as	as	ADP
easat-10581	22	26	the	the	DET
easat-10581	22	27	number	number	NOUN
easat-10581	22	28	of	of	ADP
easat-10581	22	29	individuals	individual	NOUN
easat-10581	22	30	injured	injure	VERB
easat-10581	22	31	or	or	CCONJ
easat-10581	22	32	deceased	decease	VERB
easat-10581	22	33	each	each	DET
easat-10581	22	34	month	month	NOUN
easat-10581	22	35	and	and	CCONJ
easat-10581	22	36	their	their	PRON
easat-10581	22	37	respective	respective	ADJ
easat-10581	22	38	genders	gender	NOUN
easat-10581	22	39	[	[	X
easat-10581	22	40	1	1	NUM
easat-10581	22	41	,	,	PUNCT
easat-10581	22	42	2	2	NUM
easat-10581	22	43	]	]	PUNCT
easat-10581	22	44	.	.	PUNCT
easat-10581	23	1	these	these	DET
easat-10581	23	2	published	publish	VERB
easat-10581	23	3	data	datum	NOUN
easat-10581	23	4	on	on	ADP
easat-10581	23	5	road	road	NOUN
easat-10581	23	6	accidents	accident	NOUN
easat-10581	23	7	from	from	ADP
easat-10581	23	8	the	the	DET
easat-10581	23	9	government	government	NOUN
easat-10581	23	10	are	be	AUX
easat-10581	23	11	insufficient	insufficient	ADJ
easat-10581	23	12	for	for	ADP
easat-10581	23	13	conducting	conduct	VERB
easat-10581	23	14	detailed	detailed	ADJ
easat-10581	23	15	studies	study	NOUN
easat-10581	23	16	on	on	ADP
easat-10581	23	17	the	the	DET
easat-10581	23	18	patterns	pattern	NOUN
easat-10581	23	19	of	of	ADP
easat-10581	23	20	accidents	accident	NOUN
easat-10581	23	21	.	.	PUNCT
easat-10581	24	1	to	to	PART
easat-10581	24	2	address	address	VERB
easat-10581	24	3	this	this	DET
easat-10581	24	4	gap	gap	NOUN
easat-10581	24	5	,	,	PUNCT
easat-10581	24	6	this	this	DET
easat-10581	24	7	study	study	NOUN
easat-10581	24	8	leverages	leverage	VERB
easat-10581	24	9	the	the	DET
easat-10581	24	10	use	use	NOUN
easat-10581	24	11	of	of	ADP
easat-10581	24	12	online	online	ADJ
easat-10581	24	13	news	news	NOUN
easat-10581	24	14	portals	portal	NOUN
easat-10581	24	15	as	as	ADP
easat-10581	24	16	an	an	DET
easat-10581	24	17	important	important	ADJ
easat-10581	24	18	additional	additional	ADJ
easat-10581	24	19	resource	resource	NOUN
easat-10581	24	20	that	that	PRON
easat-10581	24	21	provides	provide	VERB
easat-10581	24	22	more	more	ADV
easat-10581	24	23	detailed	detailed	ADJ
easat-10581	24	24	information	information	NOUN
easat-10581	24	25	about	about	ADP
easat-10581	24	26	accidents	accident	NOUN
easat-10581	24	27	,	,	PUNCT
easat-10581	24	28	capturing	capture	VERB
easat-10581	24	29	data	datum	NOUN
easat-10581	24	30	about	about	ADP
easat-10581	24	31	the	the	DET
easat-10581	24	32	cause	cause	NOUN
easat-10581	24	33	,	,	PUNCT
easat-10581	24	34	location	location	NOUN
easat-10581	24	35	,	,	PUNCT
easat-10581	24	36	road	road	NOUN
easat-10581	24	37	type	type	NOUN
easat-10581	24	38	,	,	PUNCT
easat-10581	24	39	and	and	CCONJ
easat-10581	24	40	severity	severity	NOUN
easat-10581	24	41	.	.	PUNCT
easat-10581	25	1	an	an	DET
easat-10581	25	2	exploration	exploration	NOUN
easat-10581	25	3	of	of	ADP
easat-10581	25	4	the	the	DET
easat-10581	25	5	literature	literature	NOUN
easat-10581	25	6	concerning	concern	VERB
easat-10581	25	7	the	the	DET
easat-10581	25	8	state	state	NOUN
easat-10581	25	9	of	of	ADP
easat-10581	25	10	albania	albania	PROPN
easat-10581	25	11	revealed	reveal	VERB
easat-10581	25	12	that	that	SCONJ
easat-10581	25	13	there	there	PRON
easat-10581	25	14	are	be	VERB
easat-10581	25	15	only	only	ADV
easat-10581	25	16	a	a	DET
easat-10581	25	17	few	few	ADJ
easat-10581	25	18	studies	study	NOUN
easat-10581	25	19	on	on	ADP
easat-10581	25	20	accidents	accident	NOUN
easat-10581	25	21	utilizing	utilize	VERB
easat-10581	25	22	news	news	NOUN
easat-10581	25	23	portals	portal	NOUN
easat-10581	25	24	as	as	ADP
easat-10581	25	25	a	a	DET
easat-10581	25	26	data	data	NOUN
easat-10581	25	27	source	source	NOUN
easat-10581	25	28	[	[	X
easat-10581	25	29	3	3	NUM
easat-10581	25	30	,	,	PUNCT
easat-10581	25	31	4	4	NUM
easat-10581	25	32	]	]	PUNCT
easat-10581	25	33	.	.	PUNCT
easat-10581	26	1	this	this	DET
easat-10581	26	2	positions	position	NOUN
easat-10581	26	3	the	the	DET
easat-10581	26	4	current	current	ADJ
easat-10581	26	5	study	study	NOUN
easat-10581	26	6	among	among	ADP
easat-10581	26	7	the	the	DET
easat-10581	26	8	first	first	ADJ
easat-10581	26	9	systematic	systematic	ADJ
easat-10581	26	10	efforts	effort	NOUN
easat-10581	26	11	to	to	PART
easat-10581	26	12	use	use	VERB
easat-10581	26	13	unstructured	unstructured	ADJ
easat-10581	26	14	web	web	NOUN
easat-10581	26	15	data	datum	NOUN
easat-10581	26	16	for	for	ADP
easat-10581	26	17	structured	structured	ADJ
easat-10581	26	18	accident	accident	NOUN
easat-10581	26	19	data	datum	NOUN
easat-10581	26	20	analytics	analytic	NOUN
easat-10581	26	21	and	and	CCONJ
easat-10581	26	22	prediction	prediction	NOUN
easat-10581	26	23	in	in	ADP
easat-10581	26	24	albania	albania	PROPN
easat-10581	26	25	.	.	PUNCT
easat-10581	27	1	in	in	ADP
easat-10581	27	2	this	this	DET
easat-10581	27	3	research	research	NOUN
easat-10581	27	4	,	,	PUNCT
easat-10581	27	5	the	the	DET
easat-10581	27	6	main	main	ADJ
easat-10581	27	7	goal	goal	NOUN
easat-10581	27	8	has	have	AUX
easat-10581	27	9	been	be	AUX
easat-10581	27	10	the	the	DET
easat-10581	27	11	analysis	analysis	NOUN
easat-10581	27	12	and	and	CCONJ
easat-10581	27	13	discovery	discovery	NOUN
easat-10581	27	14	of	of	ADP
easat-10581	27	15	the	the	DET
easat-10581	27	16	main	main	ADJ
easat-10581	27	17	reasons	reason	NOUN
easat-10581	27	18	that	that	PRON
easat-10581	27	19	cause	cause	VERB
easat-10581	27	20	https://orcid.org/0009-0009-4852-5571	https://orcid.org/0009-0009-4852-5571	PROPN
easat-10581	27	21	https://orcid.org/0000-0002-1107-0165	https://orcid.org/0000-0002-1107-0165	PROPN
easat-10581	27	22	https://orcid.org/0000-0002-4354-146x	https://orcid.org/0000-0002-4354-146x	PROPN
easat-10581	27	23	993	993	NUM
easat-10581	27	24	edelweiss	edelweiss	PROPN
easat-10581	27	25	applied	apply	VERB
easat-10581	27	26	science	science	NOUN
easat-10581	27	27	and	and	CCONJ
easat-10581	27	28	technology	technology	NOUN
easat-10581	27	29	issn	issn	PROPN
easat-10581	27	30	:	:	PUNCT
easat-10581	27	31	2576	2576	NUM
easat-10581	27	32	-	-	SYM
easat-10581	27	33	8484	8484	NUM
easat-10581	27	34	vol	vol	NOUN
easat-10581	27	35	.	.	PROPN
easat-10581	28	1	9	9	NUM
easat-10581	28	2	,	,	PUNCT
easat-10581	28	3	no	no	INTJ
easat-10581	28	4	.	.	NOUN
easat-10581	28	5	10	10	NUM
easat-10581	28	6	:	:	PUNCT
easat-10581	28	7	992	992	NUM
easat-10581	28	8	-	-	SYM
easat-10581	28	9	1004	1004	NUM
easat-10581	28	10	,	,	PUNCT
easat-10581	28	11	2025	2025	NUM
easat-10581	28	12	doi	doi	NOUN
easat-10581	28	13	:	:	PUNCT
easat-10581	28	14	10.55214/2576	10.55214/2576	NUM
easat-10581	28	15	-	-	SYM
easat-10581	28	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	28	17	©	©	ADP
easat-10581	28	18	2025	2025	NUM
easat-10581	28	19	by	by	ADP
easat-10581	28	20	the	the	DET
easat-10581	28	21	authors	author	NOUN
easat-10581	28	22	;	;	PUNCT
easat-10581	28	23	licensee	licensee	PROPN
easat-10581	28	24	learning	learn	VERB
easat-10581	28	25	gate	gate	PROPN
easat-10581	28	26	road	road	NOUN
easat-10581	28	27	accidents	accident	NOUN
easat-10581	28	28	,	,	PUNCT
easat-10581	28	29	as	as	ADV
easat-10581	28	30	well	well	ADV
easat-10581	28	31	as	as	ADP
easat-10581	28	32	,	,	PUNCT
easat-10581	28	33	if	if	SCONJ
easat-10581	28	34	possible	possible	ADJ
easat-10581	28	35	,	,	PUNCT
easat-10581	28	36	the	the	DET
easat-10581	28	37	discovery	discovery	NOUN
easat-10581	28	38	of	of	ADP
easat-10581	28	39	the	the	DET
easat-10581	28	40	combination	combination	NOUN
easat-10581	28	41	of	of	ADP
easat-10581	28	42	circumstances	circumstance	NOUN
easat-10581	28	43	that	that	PRON
easat-10581	28	44	increase	increase	VERB
easat-10581	28	45	the	the	DET
easat-10581	28	46	possibility	possibility	NOUN
easat-10581	28	47	of	of	ADP
easat-10581	28	48	a	a	DET
easat-10581	28	49	road	road	NOUN
easat-10581	28	50	accident	accident	NOUN
easat-10581	28	51	based	base	VERB
easat-10581	28	52	on	on	ADP
easat-10581	28	53	the	the	DET
easat-10581	28	54	data	datum	NOUN
easat-10581	28	55	processed	process	VERB
easat-10581	28	56	from	from	ADP
easat-10581	28	57	online	online	ADJ
easat-10581	28	58	newspapers	newspaper	NOUN
easat-10581	28	59	that	that	PRON
easat-10581	28	60	publish	publish	VERB
easat-10581	28	61	articles	article	NOUN
easat-10581	28	62	about	about	ADP
easat-10581	28	63	road	road	NOUN
easat-10581	28	64	accidents	accident	NOUN
easat-10581	28	65	.	.	PUNCT
easat-10581	29	1	citizens	citizen	NOUN
easat-10581	29	2	can	can	AUX
easat-10581	29	3	benefit	benefit	VERB
easat-10581	29	4	from	from	ADP
easat-10581	29	5	the	the	DET
easat-10581	29	6	results	result	NOUN
easat-10581	29	7	of	of	ADP
easat-10581	29	8	this	this	DET
easat-10581	29	9	study	study	NOUN
easat-10581	29	10	,	,	PUNCT
easat-10581	29	11	who	who	PRON
easat-10581	29	12	can	can	AUX
easat-10581	29	13	be	be	AUX
easat-10581	29	14	informed	inform	VERB
easat-10581	29	15	about	about	ADP
easat-10581	29	16	the	the	DET
easat-10581	29	17	causes	cause	NOUN
easat-10581	29	18	or	or	CCONJ
easat-10581	29	19	areas	area	NOUN
easat-10581	29	20	of	of	ADP
easat-10581	29	21	road	road	NOUN
easat-10581	29	22	accidents	accident	NOUN
easat-10581	29	23	more	more	ADV
easat-10581	29	24	carefully	carefully	ADV
easat-10581	29	25	,	,	PUNCT
easat-10581	29	26	as	as	ADV
easat-10581	29	27	well	well	ADV
easat-10581	29	28	as	as	ADP
easat-10581	29	29	responsible	responsible	ADJ
easat-10581	29	30	state	state	NOUN
easat-10581	29	31	institutes	institutes	NOUN
easat-10581	29	32	that	that	PRON
easat-10581	29	33	can	can	AUX
easat-10581	29	34	undertake	undertake	VERB
easat-10581	29	35	awareness	awareness	NOUN
easat-10581	29	36	campaigns	campaign	NOUN
easat-10581	29	37	for	for	ADP
easat-10581	29	38	the	the	DET
easat-10581	29	39	prevention	prevention	NOUN
easat-10581	29	40	of	of	ADP
easat-10581	29	41	road	road	NOUN
easat-10581	29	42	accidents	accident	NOUN
easat-10581	29	43	.	.	PUNCT
easat-10581	30	1	for	for	ADP
easat-10581	30	2	the	the	DET
easat-10581	30	3	realization	realization	NOUN
easat-10581	30	4	of	of	ADP
easat-10581	30	5	this	this	DET
easat-10581	30	6	research	research	NOUN
easat-10581	30	7	,	,	PUNCT
easat-10581	30	8	a	a	DET
easat-10581	30	9	methodology	methodology	NOUN
easat-10581	30	10	was	be	AUX
easat-10581	30	11	followed	follow	VERB
easat-10581	30	12	,	,	PUNCT
easat-10581	30	13	which	which	PRON
easat-10581	30	14	is	be	AUX
easat-10581	30	15	briefly	briefly	ADV
easat-10581	30	16	described	describe	VERB
easat-10581	30	17	in	in	ADP
easat-10581	30	18	the	the	DET
easat-10581	30	19	following	follow	VERB
easat-10581	30	20	steps	step	NOUN
easat-10581	30	21	:	:	PUNCT
easat-10581	30	22	•	•	ADP
easat-10581	30	23	implementing	implement	VERB
easat-10581	30	24	an	an	DET
easat-10581	30	25	algorithm	algorithm	NOUN
easat-10581	30	26	in	in	ADP
easat-10581	30	27	the	the	DET
easat-10581	30	28	python	python	NOUN
easat-10581	30	29	programming	programming	NOUN
easat-10581	30	30	language	language	NOUN
easat-10581	30	31	that	that	PRON
easat-10581	30	32	reads	read	VERB
easat-10581	30	33	and	and	CCONJ
easat-10581	30	34	extracts	extract	VERB
easat-10581	30	35	articles	article	NOUN
easat-10581	30	36	discussing	discuss	VERB
easat-10581	30	37	road	road	NOUN
easat-10581	30	38	accidents	accident	NOUN
easat-10581	30	39	from	from	ADP
easat-10581	30	40	online	online	ADJ
easat-10581	30	41	newspapers	newspaper	NOUN
easat-10581	30	42	using	use	VERB
easat-10581	30	43	scraping	scrape	VERB
easat-10581	30	44	techniques	technique	NOUN
easat-10581	30	45	,	,	PUNCT
easat-10581	30	46	and	and	CCONJ
easat-10581	30	47	saves	save	VERB
easat-10581	30	48	them	they	PRON
easat-10581	30	49	in	in	ADP
easat-10581	30	50	a	a	DET
easat-10581	30	51	file	file	NOUN
easat-10581	30	52	.	.	PUNCT
easat-10581	31	1	•	•	NUM
easat-10581	31	2	implement	implement	VERB
easat-10581	31	3	another	another	DET
easat-10581	31	4	program	program	NOUN
easat-10581	31	5	in	in	ADP
easat-10581	31	6	the	the	DET
easat-10581	31	7	python	python	NOUN
easat-10581	31	8	programming	programming	NOUN
easat-10581	31	9	language	language	NOUN
easat-10581	31	10	for	for	ADP
easat-10581	31	11	processing	process	VERB
easat-10581	31	12	the	the	DET
easat-10581	31	13	articles	article	NOUN
easat-10581	31	14	of	of	ADP
easat-10581	31	15	the	the	DET
easat-10581	31	16	above	above	ADJ
easat-10581	31	17	step	step	NOUN
easat-10581	31	18	by	by	ADP
easat-10581	31	19	filtering	filter	VERB
easat-10581	31	20	and	and	CCONJ
easat-10581	31	21	finding	find	VERB
easat-10581	31	22	data	datum	NOUN
easat-10581	31	23	on	on	ADP
easat-10581	31	24	road	road	NOUN
easat-10581	31	25	accidents	accident	NOUN
easat-10581	31	26	and	and	CCONJ
easat-10581	31	27	saving	save	VERB
easat-10581	31	28	them	they	PRON
easat-10581	31	29	in	in	ADP
easat-10581	31	30	another	another	DET
easat-10581	31	31	file	file	NOUN
easat-10581	31	32	.	.	PUNCT
easat-10581	32	1	•	•	NUM
easat-10581	32	2	the	the	DET
easat-10581	32	3	manual	manual	ADJ
easat-10581	32	4	processing	processing	NOUN
easat-10581	32	5	and	and	CCONJ
easat-10581	32	6	control	control	NOUN
easat-10581	32	7	of	of	ADP
easat-10581	32	8	the	the	DET
easat-10581	32	9	data	datum	NOUN
easat-10581	32	10	mentioned	mention	VERB
easat-10581	32	11	above	above	ADV
easat-10581	32	12	are	be	AUX
easat-10581	32	13	essential	essential	ADJ
easat-10581	32	14	for	for	ADP
easat-10581	32	15	ensuring	ensure	VERB
easat-10581	32	16	highquality	highquality	NOUN
easat-10581	32	17	data	datum	NOUN
easat-10581	32	18	for	for	ADP
easat-10581	32	19	study	study	NOUN
easat-10581	32	20	and	and	CCONJ
easat-10581	32	21	for	for	ADP
easat-10581	32	22	applying	apply	VERB
easat-10581	32	23	it	it	PRON
easat-10581	32	24	in	in	ADP
easat-10581	32	25	the	the	DET
easat-10581	32	26	most	most	ADV
easat-10581	32	27	effective	effective	ADJ
easat-10581	32	28	way	way	NOUN
easat-10581	32	29	using	use	VERB
easat-10581	32	30	machine	machine	NOUN
easat-10581	32	31	learning	learning	NOUN
easat-10581	32	32	algorithms	algorithm	NOUN
easat-10581	32	33	.	.	PUNCT
easat-10581	33	1	•	•	NOUN
easat-10581	33	2	the	the	DET
easat-10581	33	3	last	last	ADJ
easat-10581	33	4	step	step	NOUN
easat-10581	33	5	is	be	AUX
easat-10581	33	6	the	the	DET
easat-10581	33	7	application	application	NOUN
easat-10581	33	8	of	of	ADP
easat-10581	33	9	classification	classification	NOUN
easat-10581	33	10	methods	method	NOUN
easat-10581	33	11	such	such	ADJ
easat-10581	33	12	as	as	ADP
easat-10581	33	13	k	k	NOUN
easat-10581	33	14	-	-	PUNCT
easat-10581	33	15	nearest	near	ADJ
easat-10581	33	16	neighbors	neighbor	NOUN
easat-10581	33	17	,	,	PUNCT
easat-10581	33	18	naïve	naïve	ADJ
easat-10581	33	19	bayes	bayes	NOUN
easat-10581	33	20	,	,	PUNCT
easat-10581	33	21	and	and	CCONJ
easat-10581	33	22	random	random	ADJ
easat-10581	33	23	forest	forest	NOUN
easat-10581	33	24	.	.	PUNCT
easat-10581	34	1	the	the	DET
easat-10581	34	2	research	research	NOUN
easat-10581	34	3	questions	question	NOUN
easat-10581	34	4	raised	raise	VERB
easat-10581	34	5	for	for	ADP
easat-10581	34	6	this	this	DET
easat-10581	34	7	case	case	NOUN
easat-10581	34	8	study	study	NOUN
easat-10581	34	9	are	be	AUX
easat-10581	34	10	as	as	SCONJ
easat-10581	34	11	follows	follow	VERB
easat-10581	34	12	:	:	PUNCT
easat-10581	34	13	•	•	NUM
easat-10581	34	14	rq1	rq1	NOUN
easat-10581	34	15	:	:	PUNCT
easat-10581	34	16	how	how	SCONJ
easat-10581	34	17	can	can	AUX
easat-10581	34	18	web	web	NOUN
easat-10581	34	19	scraping	scraping	NOUN
easat-10581	34	20	be	be	AUX
easat-10581	34	21	used	use	VERB
easat-10581	34	22	to	to	PART
easat-10581	34	23	build	build	VERB
easat-10581	34	24	a	a	DET
easat-10581	34	25	database	database	NOUN
easat-10581	34	26	of	of	ADP
easat-10581	34	27	data	datum	NOUN
easat-10581	34	28	from	from	ADP
easat-10581	34	29	online	online	ADJ
easat-10581	34	30	newspaper	newspaper	NOUN
easat-10581	34	31	articles	article	NOUN
easat-10581	34	32	?	?	PUNCT
easat-10581	35	1	•	•	NUM
easat-10581	35	2	rq2	rq2	NOUN
easat-10581	35	3	:	:	PUNCT
easat-10581	35	4	how	how	SCONJ
easat-10581	35	5	can	can	AUX
easat-10581	35	6	data	datum	NOUN
easat-10581	35	7	preprocessing	preprocesse	VERB
easat-10581	35	8	techniques	technique	NOUN
easat-10581	35	9	such	such	ADJ
easat-10581	35	10	as	as	ADP
easat-10581	35	11	filtering	filter	VERB
easat-10581	35	12	,	,	PUNCT
easat-10581	35	13	text	text	NOUN
easat-10581	35	14	normalization	normalization	NOUN
easat-10581	35	15	and	and	CCONJ
easat-10581	35	16	data	datum	NOUN
easat-10581	35	17	refinement	refinement	NOUN
easat-10581	35	18	be	be	AUX
easat-10581	35	19	applied	apply	VERB
easat-10581	35	20	to	to	PART
easat-10581	35	21	prepare	prepare	VERB
easat-10581	35	22	a	a	DET
easat-10581	35	23	cleaned	clean	VERB
easat-10581	35	24	dataset	dataset	NOUN
easat-10581	35	25	for	for	ADP
easat-10581	35	26	applying	apply	VERB
easat-10581	35	27	classification	classification	NOUN
easat-10581	35	28	algorithms	algorithm	NOUN
easat-10581	35	29	?	?	PUNCT
easat-10581	36	1	•	•	NOUN
easat-10581	36	2	rq3	rq3	NOUN
easat-10581	36	3	:	:	PUNCT
easat-10581	36	4	how	how	SCONJ
easat-10581	36	5	can	can	AUX
easat-10581	36	6	simple	simple	VERB
easat-10581	36	7	and	and	CCONJ
easat-10581	36	8	ensemble	ensemble	ADJ
easat-10581	36	9	classification	classification	NOUN
easat-10581	36	10	models	model	NOUN
easat-10581	36	11	be	be	AUX
easat-10581	36	12	set	set	VERB
easat-10581	36	13	to	to	PART
easat-10581	36	14	operate	operate	VERB
easat-10581	36	15	on	on	ADP
easat-10581	36	16	preprocessed	preprocesse	VERB
easat-10581	36	17	data	datum	NOUN
easat-10581	36	18	?	?	PUNCT
easat-10581	37	1	•	•	NUM
easat-10581	37	2	rq4	rq4	NOUN
easat-10581	37	3	:	:	PUNCT
easat-10581	37	4	which	which	PRON
easat-10581	37	5	of	of	ADP
easat-10581	37	6	the	the	DET
easat-10581	37	7	classification	classification	NOUN
easat-10581	37	8	models	model	NOUN
easat-10581	37	9	performs	perform	VERB
easat-10581	37	10	better	well	ADV
easat-10581	37	11	in	in	ADP
easat-10581	37	12	predicting	predict	VERB
easat-10581	37	13	the	the	DET
easat-10581	37	14	possibility	possibility	NOUN
easat-10581	37	15	of	of	ADP
easat-10581	37	16	an	an	DET
easat-10581	37	17	accident	accident	NOUN
easat-10581	37	18	on	on	ADP
easat-10581	37	19	the	the	DET
easat-10581	37	20	basis	basis	NOUN
easat-10581	37	21	of	of	ADP
easat-10581	37	22	the	the	DET
easat-10581	37	23	circumstances	circumstance	NOUN
easat-10581	37	24	?	?	PUNCT
easat-10581	38	1	this	this	DET
easat-10581	38	2	study	study	NOUN
easat-10581	38	3	contributes	contribute	VERB
easat-10581	38	4	to	to	ADP
easat-10581	38	5	the	the	DET
easat-10581	38	6	implementation	implementation	NOUN
easat-10581	38	7	of	of	ADP
easat-10581	38	8	a	a	DET
easat-10581	38	9	multi	multi	ADJ
easat-10581	38	10	-	-	ADJ
easat-10581	38	11	staged	stage	VERB
easat-10581	38	12	methodology	methodology	NOUN
easat-10581	38	13	that	that	PRON
easat-10581	38	14	includes	include	VERB
easat-10581	38	15	web	web	NOUN
easat-10581	38	16	scraping	scraping	NOUN
easat-10581	38	17	of	of	ADP
easat-10581	38	18	accident	accident	NOUN
easat-10581	38	19	data	datum	NOUN
easat-10581	38	20	from	from	ADP
easat-10581	38	21	albanian	albanian	PROPN
easat-10581	38	22	online	online	PROPN
easat-10581	38	23	news	news	NOUN
easat-10581	38	24	portals	portal	NOUN
easat-10581	38	25	,	,	PUNCT
easat-10581	38	26	automated	automate	VERB
easat-10581	38	27	preprocessing	preprocessing	NOUN
easat-10581	38	28	associated	associate	VERB
easat-10581	38	29	with	with	ADP
easat-10581	38	30	manual	manual	ADJ
easat-10581	38	31	refinement	refinement	NOUN
easat-10581	38	32	of	of	ADP
easat-10581	38	33	the	the	DET
easat-10581	38	34	extracted	extract	VERB
easat-10581	38	35	data	datum	NOUN
easat-10581	38	36	,	,	PUNCT
easat-10581	38	37	to	to	PART
easat-10581	38	38	build	build	VERB
easat-10581	38	39	a	a	DET
easat-10581	38	40	structured	structured	ADJ
easat-10581	38	41	dataset	dataset	NOUN
easat-10581	38	42	focused	focus	VERB
easat-10581	38	43	on	on	ADP
easat-10581	38	44	road	road	NOUN
easat-10581	38	45	accidents	accident	NOUN
easat-10581	38	46	.	.	PUNCT
easat-10581	39	1	two	two	NUM
easat-10581	39	2	custom	custom	NOUN
easat-10581	39	3	albanian	albanian	ADJ
easat-10581	39	4	language	language	PROPN
easat-10581	39	5	corpora	corpora	PROPN
easat-10581	39	6	were	be	AUX
easat-10581	39	7	developed	develop	VERB
easat-10581	39	8	to	to	PART
easat-10581	39	9	support	support	VERB
easat-10581	39	10	the	the	DET
easat-10581	39	11	filtering	filtering	NOUN
easat-10581	39	12	of	of	ADP
easat-10581	39	13	relevant	relevant	ADJ
easat-10581	39	14	content	content	NOUN
easat-10581	39	15	and	and	CCONJ
easat-10581	39	16	the	the	DET
easat-10581	39	17	identification	identification	NOUN
easat-10581	39	18	of	of	ADP
easat-10581	39	19	accident	accident	NOUN
easat-10581	39	20	-	-	PUNCT
easat-10581	39	21	related	relate	VERB
easat-10581	39	22	features	feature	NOUN
easat-10581	39	23	such	such	ADJ
easat-10581	39	24	as	as	ADP
easat-10581	39	25	location	location	NOUN
easat-10581	39	26	,	,	PUNCT
easat-10581	39	27	cause	cause	NOUN
easat-10581	39	28	,	,	PUNCT
easat-10581	39	29	and	and	CCONJ
easat-10581	39	30	severity	severity	NOUN
easat-10581	39	31	.	.	PUNCT
easat-10581	40	1	the	the	DET
easat-10581	40	2	resulting	result	VERB
easat-10581	40	3	dataset	dataset	NOUN
easat-10581	40	4	was	be	AUX
easat-10581	40	5	then	then	ADV
easat-10581	40	6	used	use	VERB
easat-10581	40	7	to	to	PART
easat-10581	40	8	train	train	VERB
easat-10581	40	9	and	and	CCONJ
easat-10581	40	10	evaluate	evaluate	VERB
easat-10581	40	11	several	several	ADJ
easat-10581	40	12	classification	classification	NOUN
easat-10581	40	13	models	model	NOUN
easat-10581	40	14	,	,	PUNCT
easat-10581	40	15	including	include	VERB
easat-10581	40	16	basic	basic	ADJ
easat-10581	40	17	models	model	NOUN
easat-10581	40	18	such	such	ADJ
easat-10581	40	19	as	as	ADP
easat-10581	40	20	naïve	naïve	ADJ
easat-10581	40	21	bayes	bayes	NOUN
easat-10581	40	22	,	,	PUNCT
easat-10581	40	23	and	and	CCONJ
easat-10581	40	24	several	several	ADJ
easat-10581	40	25	ensemble	ensemble	ADJ
easat-10581	40	26	models	model	NOUN
easat-10581	40	27	such	such	ADJ
easat-10581	40	28	as	as	ADP
easat-10581	40	29	random	random	ADJ
easat-10581	40	30	forests	forest	NOUN
easat-10581	40	31	,	,	PUNCT
easat-10581	40	32	xgboost	xgboost	ADV
easat-10581	40	33	,	,	PUNCT
easat-10581	40	34	and	and	CCONJ
easat-10581	40	35	lightgbm	lightgbm	ADJ
easat-10581	40	36	,	,	PUNCT
easat-10581	40	37	in	in	ADP
easat-10581	40	38	order	order	NOUN
easat-10581	40	39	to	to	PART
easat-10581	40	40	predict	predict	VERB
easat-10581	40	41	accident	accident	NOUN
easat-10581	40	42	severity	severity	NOUN
easat-10581	40	43	based	base	VERB
easat-10581	40	44	on	on	ADP
easat-10581	40	45	contextual	contextual	ADJ
easat-10581	40	46	variables	variable	NOUN
easat-10581	40	47	.	.	PUNCT
easat-10581	41	1	this	this	DET
easat-10581	41	2	paper	paper	NOUN
easat-10581	41	3	is	be	AUX
easat-10581	41	4	structured	structure	VERB
easat-10581	41	5	as	as	SCONJ
easat-10581	41	6	follows	follow	VERB
easat-10581	41	7	:	:	PUNCT
easat-10581	41	8	in	in	ADP
easat-10581	41	9	section	section	NOUN
easat-10581	41	10	two	two	NUM
easat-10581	41	11	,	,	PUNCT
easat-10581	41	12	an	an	DET
easat-10581	41	13	approach	approach	NOUN
easat-10581	41	14	is	be	AUX
easat-10581	41	15	provided	provide	VERB
easat-10581	41	16	to	to	PART
easat-10581	41	17	review	review	VERB
easat-10581	41	18	the	the	DET
easat-10581	41	19	literature	literature	NOUN
easat-10581	41	20	related	relate	VERB
easat-10581	41	21	to	to	ADP
easat-10581	41	22	studies	study	NOUN
easat-10581	41	23	conducted	conduct	VERB
easat-10581	41	24	on	on	ADP
easat-10581	41	25	road	road	NOUN
easat-10581	41	26	accidents	accident	NOUN
easat-10581	41	27	and	and	CCONJ
easat-10581	41	28	related	related	ADJ
easat-10581	41	29	topics	topic	NOUN
easat-10581	41	30	;	;	PUNCT
easat-10581	41	31	in	in	ADP
easat-10581	41	32	the	the	DET
easat-10581	41	33	next	next	ADJ
easat-10581	41	34	section	section	NOUN
easat-10581	41	35	(	(	PUNCT
easat-10581	41	36	three	three	NUM
easat-10581	41	37	)	)	PUNCT
easat-10581	41	38	,	,	PUNCT
easat-10581	41	39	the	the	DET
easat-10581	41	40	methodology	methodology	NOUN
easat-10581	41	41	followed	follow	VERB
easat-10581	41	42	for	for	ADP
easat-10581	41	43	this	this	DET
easat-10581	41	44	research	research	NOUN
easat-10581	41	45	is	be	AUX
easat-10581	41	46	explained	explain	VERB
easat-10581	41	47	in	in	ADP
easat-10581	41	48	detail	detail	NOUN
easat-10581	41	49	;	;	PUNCT
easat-10581	41	50	in	in	ADP
easat-10581	41	51	the	the	DET
easat-10581	41	52	fourth	fourth	ADJ
easat-10581	41	53	section	section	NOUN
easat-10581	41	54	,	,	PUNCT
easat-10581	41	55	the	the	DET
easat-10581	41	56	analysis	analysis	NOUN
easat-10581	41	57	of	of	ADP
easat-10581	41	58	the	the	DET
easat-10581	41	59	results	result	NOUN
easat-10581	41	60	and	and	CCONJ
easat-10581	41	61	findings	finding	NOUN
easat-10581	41	62	of	of	ADP
easat-10581	41	63	the	the	DET
easat-10581	41	64	study	study	NOUN
easat-10581	41	65	is	be	AUX
easat-10581	41	66	included	include	VERB
easat-10581	41	67	;	;	PUNCT
easat-10581	41	68	and	and	CCONJ
easat-10581	41	69	in	in	ADP
easat-10581	41	70	the	the	DET
easat-10581	41	71	last	last	ADJ
easat-10581	41	72	part	part	NOUN
easat-10581	41	73	of	of	ADP
easat-10581	41	74	the	the	DET
easat-10581	41	75	paper	paper	NOUN
easat-10581	41	76	,	,	PUNCT
easat-10581	41	77	the	the	DET
easat-10581	41	78	conclusions	conclusion	NOUN
easat-10581	41	79	followed	follow	VERB
easat-10581	41	80	by	by	ADP
easat-10581	41	81	the	the	DET
easat-10581	41	82	references	reference	NOUN
easat-10581	41	83	used	use	VERB
easat-10581	41	84	during	during	ADP
easat-10581	41	85	this	this	DET
easat-10581	41	86	research	research	NOUN
easat-10581	41	87	are	be	AUX
easat-10581	41	88	presented	present	VERB
easat-10581	41	89	.	.	PUNCT
easat-10581	42	1	2	2	X
easat-10581	42	2	.	.	X
easat-10581	42	3	literature	literature	NOUN
easat-10581	42	4	review	review	VERB
easat-10581	42	5	a	a	DET
easat-10581	42	6	good	good	ADJ
easat-10581	42	7	approach	approach	NOUN
easat-10581	42	8	to	to	ADP
easat-10581	42	9	scientific	scientific	ADJ
easat-10581	42	10	research	research	NOUN
easat-10581	42	11	is	be	AUX
easat-10581	42	12	when	when	SCONJ
easat-10581	42	13	previous	previous	ADJ
easat-10581	42	14	studies	study	NOUN
easat-10581	42	15	and	and	CCONJ
easat-10581	42	16	results	result	NOUN
easat-10581	42	17	are	be	AUX
easat-10581	42	18	examined	examine	VERB
easat-10581	42	19	in	in	ADP
easat-10581	42	20	relation	relation	NOUN
easat-10581	42	21	to	to	ADP
easat-10581	42	22	what	what	PRON
easat-10581	42	23	we	we	PRON
easat-10581	42	24	are	be	AUX
easat-10581	42	25	interested	interested	ADJ
easat-10581	42	26	in	in	ADP
easat-10581	42	27	studying	study	VERB
easat-10581	42	28	and	and	CCONJ
easat-10581	42	29	developing	develop	VERB
easat-10581	42	30	further	far	ADV
easat-10581	42	31	.	.	PUNCT
easat-10581	43	1	for	for	ADP
easat-10581	43	2	this	this	DET
easat-10581	43	3	reason	reason	NOUN
easat-10581	43	4	,	,	PUNCT
easat-10581	43	5	several	several	ADJ
easat-10581	43	6	more	more	ADJ
easat-10581	43	7	in	in	ADP
easat-10581	43	8	-	-	PUNCT
easat-10581	43	9	depth	depth	NOUN
easat-10581	43	10	literature	literature	NOUN
easat-10581	43	11	searches	search	NOUN
easat-10581	43	12	were	be	AUX
easat-10581	43	13	conducted	conduct	VERB
easat-10581	43	14	to	to	PART
easat-10581	43	15	identify	identify	VERB
easat-10581	43	16	previous	previous	ADJ
easat-10581	43	17	scientific	scientific	ADJ
easat-10581	43	18	works	work	NOUN
easat-10581	43	19	related	relate	VERB
easat-10581	43	20	to	to	ADP
easat-10581	43	21	the	the	DET
easat-10581	43	22	risk	risk	NOUN
easat-10581	43	23	and	and	CCONJ
easat-10581	43	24	prediction	prediction	NOUN
easat-10581	43	25	of	of	ADP
easat-10581	43	26	road	road	NOUN
easat-10581	43	27	accidents	accident	NOUN
easat-10581	43	28	,	,	PUNCT
easat-10581	43	29	as	as	ADV
easat-10581	43	30	well	well	ADV
easat-10581	43	31	as	as	ADP
easat-10581	43	32	the	the	DET
easat-10581	43	33	methods	method	NOUN
easat-10581	43	34	and	and	CCONJ
easat-10581	43	35	techniques	technique	NOUN
easat-10581	43	36	used	use	VERB
easat-10581	43	37	to	to	PART
easat-10581	43	38	achieve	achieve	VERB
easat-10581	43	39	the	the	DET
easat-10581	43	40	results	result	NOUN
easat-10581	43	41	.	.	PUNCT
easat-10581	44	1	in	in	ADP
easat-10581	44	2	the	the	DET
easat-10581	44	3	following	following	NOUN
easat-10581	44	4	,	,	PUNCT
easat-10581	44	5	some	some	DET
easat-10581	44	6	information	information	NOUN
easat-10581	44	7	is	be	AUX
easat-10581	44	8	provided	provide	VERB
easat-10581	44	9	from	from	ADP
easat-10581	44	10	the	the	DET
easat-10581	44	11	literature	literature	NOUN
easat-10581	44	12	review	review	NOUN
easat-10581	44	13	of	of	ADP
easat-10581	44	14	previous	previous	ADJ
easat-10581	44	15	works	work	NOUN
easat-10581	44	16	about	about	ADP
easat-10581	44	17	the	the	DET
easat-10581	44	18	techniques	technique	NOUN
easat-10581	44	19	used	use	VERB
easat-10581	44	20	to	to	PART
easat-10581	44	21	find	find	VERB
easat-10581	44	22	the	the	DET
easat-10581	44	23	causes	cause	NOUN
easat-10581	44	24	or	or	CCONJ
easat-10581	44	25	predict	predict	VERB
easat-10581	44	26	road	road	NOUN
easat-10581	44	27	accidents	accident	NOUN
easat-10581	44	28	.	.	PUNCT
easat-10581	45	1	a	a	DET
easat-10581	45	2	search	search	NOUN
easat-10581	45	3	of	of	ADP
easat-10581	45	4	the	the	DET
easat-10581	45	5	literature	literature	NOUN
easat-10581	45	6	revealed	reveal	VERB
easat-10581	45	7	that	that	SCONJ
easat-10581	45	8	in	in	ADP
easat-10581	45	9	the	the	DET
easat-10581	45	10	state	state	NOUN
easat-10581	45	11	of	of	ADP
easat-10581	45	12	albania	albania	PROPN
easat-10581	45	13	,	,	PUNCT
easat-10581	45	14	few	few	ADJ
easat-10581	45	15	studies	study	NOUN
easat-10581	45	16	related	relate	VERB
easat-10581	45	17	to	to	ADP
easat-10581	45	18	the	the	DET
easat-10581	45	19	prediction	prediction	NOUN
easat-10581	45	20	of	of	ADP
easat-10581	45	21	road	road	NOUN
easat-10581	45	22	accidents	accident	NOUN
easat-10581	45	23	exist	exist	VERB
easat-10581	45	24	,	,	PUNCT
easat-10581	45	25	with	with	ADP
easat-10581	45	26	the	the	DET
easat-10581	45	27	exception	exception	NOUN
easat-10581	45	28	of	of	ADP
easat-10581	45	29	the	the	DET
easat-10581	45	30	studies	study	NOUN
easat-10581	45	31	conducted	conduct	VERB
easat-10581	45	32	by	by	ADP
easat-10581	45	33	the	the	DET
easat-10581	45	34	authors	author	NOUN
easat-10581	45	35	of	of	ADP
easat-10581	45	36	this	this	DET
easat-10581	45	37	paper	paper	NOUN
easat-10581	45	38	.	.	PUNCT
easat-10581	46	1	the	the	DET
easat-10581	46	2	only	only	ADJ
easat-10581	46	3	simple	simple	ADJ
easat-10581	46	4	statistical	statistical	ADJ
easat-10581	46	5	information	information	NOUN
easat-10581	46	6	published	publish	VERB
easat-10581	46	7	in	in	ADP
easat-10581	46	8	the	the	DET
easat-10581	46	9	state	state	NOUN
easat-10581	46	10	of	of	ADP
easat-10581	46	11	albania	albania	PROPN
easat-10581	46	12	on	on	ADP
easat-10581	46	13	road	road	NOUN
easat-10581	46	14	accidents	accident	NOUN
easat-10581	46	15	is	be	AUX
easat-10581	46	16	that	that	PRON
easat-10581	46	17	of	of	ADP
easat-10581	46	18	the	the	DET
easat-10581	46	19	ministry	ministry	PROPN
easat-10581	46	20	of	of	ADP
easat-10581	46	21	the	the	DET
easat-10581	46	22	interior	interior	PROPN
easat-10581	46	23	[	[	X
easat-10581	46	24	1	1	NUM
easat-10581	46	25	,	,	PUNCT
easat-10581	46	26	2	2	NUM
easat-10581	46	27	]	]	PUNCT
easat-10581	46	28	.	.	PUNCT
easat-10581	47	1	studies	study	NOUN
easat-10581	47	2	and	and	CCONJ
easat-10581	47	3	scientific	scientific	ADJ
easat-10581	47	4	research	research	NOUN
easat-10581	47	5	on	on	ADP
easat-10581	47	6	the	the	DET
easat-10581	47	7	prediction	prediction	NOUN
easat-10581	47	8	or	or	CCONJ
easat-10581	47	9	analysis	analysis	NOUN
easat-10581	47	10	of	of	ADP
easat-10581	47	11	road	road	NOUN
easat-10581	47	12	accidents	accident	NOUN
easat-10581	47	13	have	have	AUX
easat-10581	47	14	been	be	AUX
easat-10581	47	15	conducted	conduct	VERB
easat-10581	47	16	994	994	NUM
easat-10581	47	17	edelweiss	edelweiss	PROPN
easat-10581	47	18	applied	apply	VERB
easat-10581	47	19	science	science	NOUN
easat-10581	47	20	and	and	CCONJ
easat-10581	47	21	technology	technology	NOUN
easat-10581	47	22	issn	issn	PROPN
easat-10581	47	23	:	:	PUNCT
easat-10581	47	24	2576	2576	NUM
easat-10581	47	25	-	-	SYM
easat-10581	47	26	8484	8484	NUM
easat-10581	47	27	vol	vol	NOUN
easat-10581	47	28	.	.	PROPN
easat-10581	48	1	9	9	NUM
easat-10581	48	2	,	,	PUNCT
easat-10581	48	3	no	no	INTJ
easat-10581	48	4	.	.	NOUN
easat-10581	48	5	10	10	NUM
easat-10581	48	6	:	:	PUNCT
easat-10581	48	7	992	992	NUM
easat-10581	48	8	-	-	SYM
easat-10581	48	9	1004	1004	NUM
easat-10581	48	10	,	,	PUNCT
easat-10581	48	11	2025	2025	NUM
easat-10581	48	12	doi	doi	NOUN
easat-10581	48	13	:	:	PUNCT
easat-10581	48	14	10.55214/2576	10.55214/2576	NUM
easat-10581	48	15	-	-	SYM
easat-10581	48	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	48	17	©	©	ADP
easat-10581	48	18	2025	2025	NUM
easat-10581	48	19	by	by	ADP
easat-10581	48	20	the	the	DET
easat-10581	48	21	authors	author	NOUN
easat-10581	48	22	;	;	PUNCT
easat-10581	48	23	licensee	licensee	PROPN
easat-10581	48	24	learning	learn	VERB
easat-10581	48	25	gate	gate	NOUN
easat-10581	48	26	since	since	SCONJ
easat-10581	48	27	the	the	DET
easat-10581	48	28	1980s	1980	NOUN
easat-10581	48	29	and	and	CCONJ
easat-10581	48	30	1990s	1990	NOUN
easat-10581	48	31	.	.	PUNCT
easat-10581	49	1	a	a	DET
easat-10581	49	2	prominent	prominent	ADJ
easat-10581	49	3	work	work	NOUN
easat-10581	49	4	from	from	ADP
easat-10581	49	5	this	this	DET
easat-10581	49	6	period	period	NOUN
easat-10581	49	7	was	be	AUX
easat-10581	49	8	that	that	SCONJ
easat-10581	49	9	conducted	conduct	VERB
easat-10581	49	10	by	by	ADP
easat-10581	49	11	miaou	miaou	NOUN
easat-10581	49	12	[	[	X
easat-10581	49	13	5	5	NUM
easat-10581	49	14	]	]	PUNCT
easat-10581	49	15	who	who	PRON
easat-10581	49	16	proposed	propose	VERB
easat-10581	49	17	an	an	DET
easat-10581	49	18	alternative	alternative	ADJ
easat-10581	49	19	method	method	NOUN
easat-10581	49	20	for	for	ADP
easat-10581	49	21	estimating	estimate	VERB
easat-10581	49	22	basic	basic	ADJ
easat-10581	49	23	roadside	roadside	NOUN
easat-10581	49	24	encroachment	encroachment	NOUN
easat-10581	49	25	data	datum	NOUN
easat-10581	49	26	without	without	ADP
easat-10581	49	27	field	field	NOUN
easat-10581	49	28	collection	collection	NOUN
easat-10581	49	29	[	[	X
easat-10581	49	30	5	5	NUM
easat-10581	49	31	]	]	PUNCT
easat-10581	49	32	.	.	PUNCT
easat-10581	50	1	this	this	DET
easat-10581	50	2	method	method	NOUN
easat-10581	50	3	explores	explore	VERB
easat-10581	50	4	the	the	DET
easat-10581	50	5	probabilistic	probabilistic	ADJ
easat-10581	50	6	relationships	relationship	NOUN
easat-10581	50	7	between	between	ADP
easat-10581	50	8	encroachment	encroachment	NOUN
easat-10581	50	9	events	event	NOUN
easat-10581	50	10	and	and	CCONJ
easat-10581	50	11	run	run	VERB
easat-10581	50	12	-	-	PUNCT
easat-10581	50	13	off	off	ADP
easat-10581	50	14	-	-	PUNCT
easat-10581	50	15	road	road	NOUN
easat-10581	50	16	events	event	NOUN
easat-10581	50	17	,	,	PUNCT
easat-10581	50	18	providing	provide	VERB
easat-10581	50	19	a	a	DET
easat-10581	50	20	wide	wide	ADJ
easat-10581	50	21	range	range	NOUN
easat-10581	50	22	of	of	ADP
easat-10581	50	23	data	datum	NOUN
easat-10581	50	24	from	from	ADP
easat-10581	50	25	conventional	conventional	ADJ
easat-10581	50	26	accident	accident	NOUN
easat-10581	50	27	prediction	prediction	NOUN
easat-10581	50	28	models	model	NOUN
easat-10581	50	29	.	.	PUNCT
easat-10581	51	1	in	in	ADP
easat-10581	51	2	a	a	DET
easat-10581	51	3	subsequent	subsequent	ADJ
easat-10581	51	4	study	study	NOUN
easat-10581	51	5	,	,	PUNCT
easat-10581	51	6	miaou	miaou	NOUN
easat-10581	51	7	and	and	CCONJ
easat-10581	51	8	lum	lum	NOUN
easat-10581	51	9	[	[	X
easat-10581	51	10	6	6	NUM
easat-10581	51	11	]	]	PUNCT
easat-10581	51	12	have	have	AUX
easat-10581	51	13	examined	examine	VERB
easat-10581	51	14	the	the	DET
easat-10581	51	15	statistical	statistical	ADJ
easat-10581	51	16	properties	property	NOUN
easat-10581	51	17	of	of	ADP
easat-10581	51	18	two	two	NUM
easat-10581	51	19	conventional	conventional	ADJ
easat-10581	51	20	linear	linear	NOUN
easat-10581	51	21	regression	regression	NOUN
easat-10581	51	22	models	model	NOUN
easat-10581	51	23	and	and	CCONJ
easat-10581	51	24	two	two	NUM
easat-10581	51	25	poisson	poisson	NOUN
easat-10581	51	26	regression	regression	NOUN
easat-10581	51	27	models	model	NOUN
easat-10581	51	28	for	for	ADP
easat-10581	51	29	vehicle	vehicle	NOUN
easat-10581	51	30	accidents	accident	NOUN
easat-10581	51	31	and	and	CCONJ
easat-10581	51	32	highway	highway	NOUN
easat-10581	51	33	geometric	geometric	ADJ
easat-10581	51	34	design	design	NOUN
easat-10581	51	35	relationships	relationship	NOUN
easat-10581	51	36	.	.	PUNCT
easat-10581	52	1	it	it	PRON
easat-10581	52	2	identifies	identify	VERB
easat-10581	52	3	limitations	limitation	NOUN
easat-10581	52	4	,	,	PUNCT
easat-10581	52	5	such	such	ADJ
easat-10581	52	6	as	as	ADP
easat-10581	52	7	distributional	distributional	ADJ
easat-10581	52	8	assumptions	assumption	NOUN
easat-10581	52	9	,	,	PUNCT
easat-10581	52	10	estimation	estimation	NOUN
easat-10581	52	11	procedures	procedure	NOUN
easat-10581	52	12	,	,	PUNCT
easat-10581	52	13	and	and	CCONJ
easat-10581	52	14	sensitivity	sensitivity	NOUN
easat-10581	52	15	to	to	ADP
easat-10581	52	16	short	short	ADJ
easat-10581	52	17	road	road	NOUN
easat-10581	52	18	sections	section	NOUN
easat-10581	52	19	[	[	X
easat-10581	52	20	6	6	NUM
easat-10581	52	21	]	]	PUNCT
easat-10581	52	22	.	.	PUNCT
easat-10581	53	1	moreover	moreover	ADV
easat-10581	53	2	,	,	PUNCT
easat-10581	53	3	furlonge	furlonge	VERB
easat-10581	53	4	[	[	X
easat-10581	53	5	7	7	X
easat-10581	53	6	]	]	PUNCT
easat-10581	53	7	aimed	aim	VERB
easat-10581	53	8	to	to	PART
easat-10581	53	9	develop	develop	VERB
easat-10581	53	10	an	an	DET
easat-10581	53	11	economic	economic	ADJ
easat-10581	53	12	model	model	NOUN
easat-10581	53	13	for	for	ADP
easat-10581	53	14	estimating	estimate	VERB
easat-10581	53	15	future	future	ADJ
easat-10581	53	16	road	road	NOUN
easat-10581	53	17	fatalities	fatality	NOUN
easat-10581	53	18	and	and	CCONJ
easat-10581	53	19	determining	determine	VERB
easat-10581	53	20	the	the	DET
easat-10581	53	21	monetary	monetary	ADJ
easat-10581	53	22	value	value	NOUN
easat-10581	53	23	of	of	ADP
easat-10581	53	24	fatal	fatal	ADJ
easat-10581	53	25	accidents	accident	NOUN
easat-10581	53	26	via	via	ADP
easat-10581	53	27	easily	easily	ADV
easat-10581	53	28	obtainable	obtainable	ADJ
easat-10581	53	29	parameters	parameter	NOUN
easat-10581	53	30	[	[	X
easat-10581	53	31	7	7	NUM
easat-10581	53	32	]	]	PUNCT
easat-10581	53	33	.	.	PUNCT
easat-10581	54	1	in	in	ADP
easat-10581	54	2	the	the	DET
easat-10581	54	3	early	early	ADJ
easat-10581	54	4	2000s	2000s	NUM
easat-10581	54	5	,	,	PUNCT
easat-10581	54	6	many	many	ADJ
easat-10581	54	7	research	research	NOUN
easat-10581	54	8	studies	study	NOUN
easat-10581	54	9	on	on	ADP
easat-10581	54	10	road	road	NOUN
easat-10581	54	11	accidents	accident	NOUN
easat-10581	54	12	were	be	AUX
easat-10581	54	13	conducted	conduct	VERB
easat-10581	54	14	;	;	PUNCT
easat-10581	54	15	for	for	ADP
easat-10581	54	16	example	example	NOUN
easat-10581	54	17	,	,	PUNCT
easat-10581	54	18	pattern	pattern	NOUN
easat-10581	54	19	recognition	recognition	NOUN
easat-10581	54	20	algorithms	algorithm	NOUN
easat-10581	54	21	and	and	CCONJ
easat-10581	54	22	direct	direct	ADJ
easat-10581	54	23	diagnostic	diagnostic	ADJ
easat-10581	54	24	approaches	approach	NOUN
easat-10581	54	25	were	be	AUX
easat-10581	54	26	employed	employ	VERB
easat-10581	54	27	by	by	ADP
easat-10581	54	28	kononov	kononov	PROPN
easat-10581	55	1	[	[	X
easat-10581	55	2	8	8	NUM
easat-10581	55	3	]	]	PUNCT
easat-10581	55	4	to	to	PART
easat-10581	55	5	model	model	VERB
easat-10581	55	6	the	the	DET
easat-10581	55	7	prediction	prediction	NOUN
easat-10581	55	8	of	of	ADP
easat-10581	55	9	traffic	traffic	NOUN
easat-10581	55	10	accidents	accident	NOUN
easat-10581	55	11	and	and	CCONJ
easat-10581	55	12	diagnose	diagnose	VERB
easat-10581	55	13	the	the	DET
easat-10581	55	14	causality	causality	NOUN
easat-10581	55	15	of	of	ADP
easat-10581	55	16	accidents	accident	NOUN
easat-10581	55	17	[	[	X
easat-10581	55	18	8	8	NUM
easat-10581	55	19	]	]	PUNCT
easat-10581	55	20	.	.	PUNCT
easat-10581	56	1	additionally	additionally	ADV
easat-10581	56	2	,	,	PUNCT
easat-10581	56	3	the	the	DET
easat-10581	56	4	study	study	NOUN
easat-10581	56	5	conducted	conduct	VERB
easat-10581	56	6	by	by	ADP
easat-10581	56	7	larsen	larsen	PROPN
easat-10581	57	1	[	[	X
easat-10581	57	2	9	9	NUM
easat-10581	57	3	]	]	PUNCT
easat-10581	57	4	employed	employ	VERB
easat-10581	57	5	a	a	DET
easat-10581	57	6	multidisciplinary	multidisciplinary	ADJ
easat-10581	57	7	approach	approach	NOUN
easat-10581	57	8	and	and	CCONJ
easat-10581	57	9	provided	provide	VERB
easat-10581	57	10	accurate	accurate	ADJ
easat-10581	57	11	information	information	NOUN
easat-10581	57	12	regarding	regard	VERB
easat-10581	57	13	the	the	DET
easat-10581	57	14	causes	cause	NOUN
easat-10581	57	15	of	of	ADP
easat-10581	57	16	traffic	traffic	NOUN
easat-10581	57	17	accidents	accident	NOUN
easat-10581	57	18	[	[	X
easat-10581	57	19	9	9	NUM
easat-10581	57	20	]	]	PUNCT
easat-10581	57	21	.	.	PUNCT
easat-10581	58	1	in	in	ADP
easat-10581	58	2	the	the	DET
easat-10581	58	3	last	last	ADJ
easat-10581	58	4	decade	decade	NOUN
easat-10581	58	5	,	,	PUNCT
easat-10581	58	6	various	various	ADJ
easat-10581	58	7	publications	publication	NOUN
easat-10581	58	8	have	have	AUX
easat-10581	58	9	focused	focus	VERB
easat-10581	58	10	on	on	ADP
easat-10581	58	11	road	road	NOUN
easat-10581	58	12	accidents	accident	NOUN
easat-10581	58	13	in	in	ADP
easat-10581	58	14	different	different	ADJ
easat-10581	58	15	countries	country	NOUN
easat-10581	58	16	,	,	PUNCT
easat-10581	58	17	including	include	VERB
easat-10581	58	18	the	the	DET
easat-10581	58	19	use	use	NOUN
easat-10581	58	20	of	of	ADP
easat-10581	58	21	different	different	ADJ
easat-10581	58	22	machine	machine	NOUN
easat-10581	58	23	learning	learning	NOUN
easat-10581	58	24	or	or	CCONJ
easat-10581	58	25	deep	deep	ADJ
easat-10581	58	26	learning	learning	NOUN
easat-10581	58	27	algorithms	algorithm	NOUN
easat-10581	58	28	.	.	PUNCT
easat-10581	59	1	in	in	ADP
easat-10581	59	2	a	a	DET
easat-10581	59	3	notable	notable	ADJ
easat-10581	59	4	study	study	NOUN
easat-10581	59	5	conducted	conduct	VERB
easat-10581	59	6	by	by	ADP
easat-10581	59	7	lnenicka	lnenicka	PROPN
easat-10581	59	8	et	et	PROPN
easat-10581	59	9	al	al	PROPN
easat-10581	59	10	.	.	PUNCT
easat-10581	60	1	[	[	X
easat-10581	60	2	10	10	NUM
easat-10581	60	3	]	]	PUNCT
easat-10581	60	4	,	,	PUNCT
easat-10581	60	5	which	which	PRON
easat-10581	60	6	has	have	AUX
easat-10581	60	7	attracted	attract	VERB
easat-10581	60	8	our	our	PRON
easat-10581	60	9	interest	interest	NOUN
easat-10581	60	10	and	and	CCONJ
easat-10581	60	11	sparked	spark	VERB
easat-10581	60	12	the	the	DET
easat-10581	60	13	inspiration	inspiration	NOUN
easat-10581	60	14	for	for	ADP
easat-10581	60	15	the	the	DET
easat-10581	60	16	current	current	ADJ
easat-10581	60	17	research	research	NOUN
easat-10581	60	18	work	work	NOUN
easat-10581	60	19	,	,	PUNCT
easat-10581	60	20	the	the	DET
easat-10581	60	21	authors	author	NOUN
easat-10581	60	22	developed	develop	VERB
easat-10581	60	23	an	an	DET
easat-10581	60	24	application	application	NOUN
easat-10581	60	25	employing	employ	VERB
easat-10581	60	26	web	web	NOUN
easat-10581	60	27	scraping	scrape	VERB
easat-10581	60	28	techniques	technique	NOUN
easat-10581	60	29	to	to	PART
easat-10581	60	30	collect	collect	VERB
easat-10581	60	31	and	and	CCONJ
easat-10581	60	32	extract	extract	VERB
easat-10581	60	33	crime	crime	NOUN
easat-10581	60	34	-	-	PUNCT
easat-10581	60	35	related	relate	VERB
easat-10581	60	36	news	news	NOUN
easat-10581	60	37	from	from	ADP
easat-10581	60	38	online	online	ADJ
easat-10581	60	39	newspaper	newspaper	NOUN
easat-10581	60	40	portals	portal	NOUN
easat-10581	60	41	.	.	PUNCT
easat-10581	61	1	the	the	DET
easat-10581	61	2	extracted	extract	VERB
easat-10581	61	3	information	information	NOUN
easat-10581	61	4	was	be	AUX
easat-10581	61	5	subsequently	subsequently	ADV
easat-10581	61	6	processed	process	VERB
easat-10581	61	7	,	,	PUNCT
easat-10581	61	8	analyzed	analyze	VERB
easat-10581	61	9	,	,	PUNCT
easat-10581	61	10	and	and	CCONJ
easat-10581	61	11	visualized	visualize	VERB
easat-10581	61	12	,	,	PUNCT
easat-10581	61	13	providing	provide	VERB
easat-10581	61	14	as	as	ADP
easat-10581	61	15	an	an	DET
easat-10581	61	16	outcome	outcome	NOUN
easat-10581	61	17	both	both	CCONJ
easat-10581	61	18	a	a	DET
easat-10581	61	19	geographical	geographical	ADJ
easat-10581	61	20	map	map	NOUN
easat-10581	61	21	and	and	CCONJ
easat-10581	61	22	a	a	DET
easat-10581	61	23	statistical	statistical	ADJ
easat-10581	61	24	tabular	tabular	NOUN
easat-10581	61	25	form	form	NOUN
easat-10581	61	26	,	,	PUNCT
easat-10581	61	27	allowing	allow	VERB
easat-10581	61	28	for	for	ADP
easat-10581	61	29	the	the	DET
easat-10581	61	30	classification	classification	NOUN
easat-10581	61	31	of	of	ADP
easat-10581	61	32	regions	region	NOUN
easat-10581	61	33	according	accord	VERB
easat-10581	61	34	to	to	ADP
easat-10581	61	35	their	their	PRON
easat-10581	61	36	level	level	NOUN
easat-10581	61	37	of	of	ADP
easat-10581	61	38	crime	crime	NOUN
easat-10581	61	39	risk	risk	NOUN
easat-10581	61	40	[	[	X
easat-10581	61	41	10	10	NUM
easat-10581	61	42	]	]	PUNCT
easat-10581	61	43	.	.	PUNCT
easat-10581	62	1	in	in	ADP
easat-10581	62	2	the	the	DET
easat-10581	62	3	study	study	NOUN
easat-10581	62	4	by	by	ADP
easat-10581	62	5	biswas	biswas	PROPN
easat-10581	62	6	et	et	PROPN
easat-10581	62	7	al	al	PROPN
easat-10581	62	8	.	.	PUNCT
easat-10581	63	1	[	[	X
easat-10581	63	2	11	11	NUM
easat-10581	63	3	]	]	PUNCT
easat-10581	63	4	,	,	PUNCT
easat-10581	63	5	random	random	ADJ
easat-10581	63	6	forest	forest	NOUN
easat-10581	63	7	regression	regression	NOUN
easat-10581	63	8	was	be	AUX
easat-10581	63	9	used	use	VERB
easat-10581	63	10	to	to	PART
easat-10581	63	11	predict	predict	VERB
easat-10581	63	12	the	the	DET
easat-10581	63	13	number	number	NOUN
easat-10581	63	14	of	of	ADP
easat-10581	63	15	road	road	NOUN
easat-10581	63	16	accidents	accident	NOUN
easat-10581	63	17	and	and	CCONJ
easat-10581	63	18	their	their	PRON
easat-10581	63	19	casualties	casualty	NOUN
easat-10581	63	20	.	.	PUNCT
easat-10581	64	1	the	the	DET
easat-10581	64	2	results	result	NOUN
easat-10581	64	3	of	of	ADP
easat-10581	64	4	the	the	DET
easat-10581	64	5	study	study	NOUN
easat-10581	64	6	revealed	reveal	VERB
easat-10581	64	7	that	that	SCONJ
easat-10581	64	8	random	random	ADJ
easat-10581	64	9	forest	forest	NOUN
easat-10581	64	10	regression	regression	NOUN
easat-10581	64	11	is	be	AUX
easat-10581	64	12	relatively	relatively	ADV
easat-10581	64	13	effective	effective	ADJ
easat-10581	64	14	for	for	ADP
easat-10581	64	15	prediction	prediction	NOUN
easat-10581	64	16	and	and	CCONJ
easat-10581	64	17	application	application	NOUN
easat-10581	64	18	in	in	ADP
easat-10581	64	19	this	this	DET
easat-10581	64	20	field	field	NOUN
easat-10581	64	21	of	of	ADP
easat-10581	64	22	study	study	NOUN
easat-10581	64	23	[	[	X
easat-10581	64	24	11	11	NUM
easat-10581	64	25	]	]	PUNCT
easat-10581	64	26	.	.	PUNCT
easat-10581	65	1	additionally	additionally	ADV
easat-10581	65	2	,	,	PUNCT
easat-10581	65	3	siddik	siddik	PROPN
easat-10581	65	4	et	et	PROPN
easat-10581	65	5	al	al	PROPN
easat-10581	65	6	.	.	PUNCT
easat-10581	66	1	[	[	X
easat-10581	66	2	12	12	NUM
easat-10581	66	3	]	]	PUNCT
easat-10581	66	4	have	have	AUX
easat-10581	66	5	used	use	VERB
easat-10581	66	6	four	four	NUM
easat-10581	66	7	classification	classification	NOUN
easat-10581	66	8	models	model	NOUN
easat-10581	66	9	:	:	PUNCT
easat-10581	66	10	decision	decision	NOUN
easat-10581	66	11	tree	tree	NOUN
easat-10581	66	12	,	,	PUNCT
easat-10581	66	13	k	k	NOUN
easat-10581	66	14	-	-	PUNCT
easat-10581	66	15	nearest	near	ADJ
easat-10581	66	16	neighbors	neighbor	NOUN
easat-10581	66	17	(	(	PUNCT
easat-10581	66	18	knn	knn	PROPN
easat-10581	66	19	)	)	PUNCT
easat-10581	66	20	,	,	PUNCT
easat-10581	66	21	naïve	naïve	ADJ
easat-10581	66	22	bayes	bayes	NOUN
easat-10581	66	23	,	,	PUNCT
easat-10581	66	24	and	and	CCONJ
easat-10581	66	25	logistic	logistic	ADJ
easat-10581	66	26	regression	regression	NOUN
easat-10581	66	27	to	to	PART
easat-10581	66	28	predict	predict	VERB
easat-10581	66	29	deaths	death	NOUN
easat-10581	66	30	from	from	ADP
easat-10581	66	31	road	road	NOUN
easat-10581	66	32	accidents	accident	NOUN
easat-10581	66	33	.	.	PUNCT
easat-10581	67	1	their	their	PRON
easat-10581	67	2	models	model	NOUN
easat-10581	67	3	were	be	AUX
easat-10581	67	4	tested	test	VERB
easat-10581	67	5	on	on	ADP
easat-10581	67	6	traffic	traffic	NOUN
easat-10581	67	7	accident	accident	NOUN
easat-10581	67	8	data	datum	NOUN
easat-10581	67	9	taken	take	VERB
easat-10581	67	10	from	from	ADP
easat-10581	67	11	online	online	ADJ
easat-10581	67	12	newspapers	newspaper	NOUN
easat-10581	67	13	.	.	PUNCT
easat-10581	68	1	among	among	ADP
easat-10581	68	2	these	these	DET
easat-10581	68	3	methods	method	NOUN
easat-10581	68	4	,	,	PUNCT
easat-10581	68	5	the	the	DET
easat-10581	68	6	decision	decision	NOUN
easat-10581	68	7	tree	tree	NOUN
easat-10581	68	8	algorithm	algorithm	NOUN
easat-10581	68	9	produced	produce	VERB
easat-10581	68	10	the	the	DET
easat-10581	68	11	best	good	ADJ
easat-10581	68	12	accuracy	accuracy	NOUN
easat-10581	68	13	,	,	PUNCT
easat-10581	68	14	with	with	ADP
easat-10581	68	15	an	an	DET
easat-10581	68	16	accuracy	accuracy	NOUN
easat-10581	68	17	of	of	ADP
easat-10581	68	18	88	88	NUM
easat-10581	68	19	%	%	NOUN
easat-10581	68	20	.	.	PUNCT
easat-10581	69	1	these	these	DET
easat-10581	69	2	results	result	NOUN
easat-10581	69	3	will	will	AUX
easat-10581	69	4	subsequently	subsequently	ADV
easat-10581	69	5	assist	assist	VERB
easat-10581	69	6	institutions	institution	NOUN
easat-10581	69	7	in	in	ADP
easat-10581	69	8	enhancing	enhance	VERB
easat-10581	69	9	road	road	NOUN
easat-10581	69	10	safety	safety	NOUN
easat-10581	69	11	[	[	X
easat-10581	69	12	12	12	NUM
easat-10581	69	13	]	]	PUNCT
easat-10581	69	14	.	.	PUNCT
easat-10581	70	1	a	a	DET
easat-10581	70	2	recent	recent	ADJ
easat-10581	70	3	study	study	NOUN
easat-10581	70	4	conducted	conduct	VERB
easat-10581	70	5	by	by	ADP
easat-10581	70	6	researchers	researcher	NOUN
easat-10581	70	7	has	have	AUX
easat-10581	70	8	developed	develop	VERB
easat-10581	70	9	nonlinear	nonlinear	ADJ
easat-10581	70	10	regression	regression	NOUN
easat-10581	70	11	models	model	NOUN
easat-10581	70	12	to	to	PART
easat-10581	70	13	analyze	analyze	VERB
easat-10581	70	14	and	and	CCONJ
easat-10581	70	15	predict	predict	VERB
easat-10581	70	16	road	road	NOUN
easat-10581	70	17	traffic	traffic	NOUN
easat-10581	70	18	accidents	accident	NOUN
easat-10581	70	19	in	in	ADP
easat-10581	70	20	albania	albania	PROPN
easat-10581	70	21	using	use	VERB
easat-10581	70	22	population	population	NOUN
easat-10581	70	23	projections	projection	NOUN
easat-10581	70	24	and	and	CCONJ
easat-10581	70	25	vehicle	vehicle	NOUN
easat-10581	70	26	registration	registration	NOUN
easat-10581	70	27	data	datum	NOUN
easat-10581	70	28	as	as	ADP
easat-10581	70	29	independent	independent	ADJ
easat-10581	70	30	variables	variable	NOUN
easat-10581	70	31	.	.	PUNCT
easat-10581	71	1	chen	chen	PROPN
easat-10581	71	2	and	and	CCONJ
easat-10581	71	3	wang	wang	PROPN
easat-10581	72	1	[	[	X
easat-10581	72	2	13	13	NUM
easat-10581	72	3	]	]	PUNCT
easat-10581	72	4	have	have	AUX
easat-10581	72	5	analyzed	analyze	VERB
easat-10581	72	6	traffic	traffic	NOUN
easat-10581	72	7	accident	accident	NOUN
easat-10581	72	8	factors	factor	NOUN
easat-10581	72	9	for	for	ADP
easat-10581	72	10	different	different	ADJ
easat-10581	72	11	ages	age	NOUN
easat-10581	72	12	via	via	ADP
easat-10581	72	13	road	road	NOUN
easat-10581	72	14	accident	accident	NOUN
easat-10581	72	15	data	datum	NOUN
easat-10581	72	16	.	.	PUNCT
easat-10581	73	1	it	it	PRON
easat-10581	73	2	proposes	propose	VERB
easat-10581	73	3	an	an	DET
easat-10581	73	4	adaptive	adaptive	ADJ
easat-10581	73	5	boosting	boost	VERB
easat-10581	73	6	algorithm	algorithm	NOUN
easat-10581	73	7	(	(	PUNCT
easat-10581	73	8	adaboost	adaboost	ADV
easat-10581	73	9	)	)	PUNCT
easat-10581	73	10	for	for	ADP
easat-10581	73	11	data	data	NOUN
easat-10581	73	12	processing	processing	NOUN
easat-10581	73	13	.	.	PUNCT
easat-10581	74	1	the	the	DET
easat-10581	74	2	results	result	NOUN
easat-10581	74	3	revealed	reveal	VERB
easat-10581	74	4	that	that	SCONJ
easat-10581	74	5	weather	weather	NOUN
easat-10581	74	6	and	and	CCONJ
easat-10581	74	7	time	time	NOUN
easat-10581	74	8	of	of	ADP
easat-10581	74	9	day	day	NOUN
easat-10581	74	10	significantly	significantly	ADV
easat-10581	74	11	influence	influence	VERB
easat-10581	74	12	driving	drive	VERB
easat-10581	74	13	safety	safety	NOUN
easat-10581	74	14	for	for	ADP
easat-10581	74	15	senior	senior	ADJ
easat-10581	74	16	drivers	driver	NOUN
easat-10581	74	17	,	,	PUNCT
easat-10581	74	18	with	with	ADP
easat-10581	74	19	rainy	rainy	ADJ
easat-10581	74	20	and	and	CCONJ
easat-10581	74	21	snowy	snowy	ADJ
easat-10581	74	22	days	day	NOUN
easat-10581	74	23	affecting	affect	VERB
easat-10581	74	24	older	old	ADJ
easat-10581	74	25	drivers	driver	NOUN
easat-10581	74	26	the	the	DET
easat-10581	74	27	most	most	ADJ
easat-10581	75	1	[	[	X
easat-10581	75	2	13	13	NUM
easat-10581	75	3	]	]	PUNCT
easat-10581	75	4	.	.	PUNCT
easat-10581	76	1	also	also	ADV
easat-10581	76	2	,	,	PUNCT
easat-10581	76	3	zhao	zhao	PROPN
easat-10581	76	4	et	et	PROPN
easat-10581	76	5	al	al	PROPN
easat-10581	76	6	.	.	PUNCT
easat-10581	77	1	[	[	X
easat-10581	77	2	14	14	NUM
easat-10581	77	3	]	]	PUNCT
easat-10581	77	4	have	have	AUX
easat-10581	77	5	proposed	propose	VERB
easat-10581	77	6	a	a	DET
easat-10581	77	7	vehicle	vehicle	NOUN
easat-10581	77	8	accident	accident	NOUN
easat-10581	77	9	risk	risk	NOUN
easat-10581	77	10	prediction	prediction	NOUN
easat-10581	77	11	model	model	NOUN
easat-10581	77	12	via	via	ADP
easat-10581	77	13	the	the	DET
easat-10581	77	14	trichotomy	trichotomy	NOUN
easat-10581	77	15	adaboost	adaboost	ADV
easat-10581	77	16	with	with	ADP
easat-10581	77	17	smote	smote	NOUN
easat-10581	77	18	and	and	CCONJ
easat-10581	77	19	the	the	DET
easat-10581	77	20	one	one	NUM
easat-10581	77	21	-	-	PUNCT
easat-10581	77	22	hot	hot	ADJ
easat-10581	77	23	encoding	encoding	NOUN
easat-10581	77	24	algorithm	algorithm	NOUN
easat-10581	77	25	.	.	PUNCT
easat-10581	78	1	the	the	DET
easat-10581	78	2	model	model	NOUN
easat-10581	78	3	uses	use	VERB
easat-10581	78	4	big	big	ADJ
easat-10581	78	5	data	datum	NOUN
easat-10581	78	6	mining	mining	NOUN
easat-10581	78	7	and	and	CCONJ
easat-10581	78	8	real	real	ADJ
easat-10581	78	9	-	-	PUNCT
easat-10581	78	10	life	life	NOUN
easat-10581	78	11	accident	accident	NOUN
easat-10581	78	12	data	datum	NOUN
easat-10581	78	13	analysis	analysis	NOUN
easat-10581	78	14	.	.	PUNCT
easat-10581	79	1	the	the	DET
easat-10581	79	2	experimental	experimental	ADJ
easat-10581	79	3	dataset	dataset	NOUN
easat-10581	79	4	is	be	AUX
easat-10581	79	5	reconstructed	reconstruct	VERB
easat-10581	79	6	via	via	ADP
easat-10581	79	7	synthetic	synthetic	ADJ
easat-10581	79	8	minority	minority	NOUN
easat-10581	79	9	oversampling	oversampling	NOUN
easat-10581	79	10	,	,	PUNCT
easat-10581	79	11	and	and	CCONJ
easat-10581	79	12	weak	weak	ADJ
easat-10581	79	13	classifiers	classifier	NOUN
easat-10581	79	14	are	be	AUX
easat-10581	79	15	trained	train	VERB
easat-10581	79	16	via	via	ADP
easat-10581	79	17	the	the	DET
easat-10581	79	18	adaboost	adaboost	ADJ
easat-10581	79	19	algorithm	algorithm	NOUN
easat-10581	79	20	.	.	PUNCT
easat-10581	80	1	the	the	DET
easat-10581	80	2	model	model	NOUN
easat-10581	80	3	considers	consider	VERB
easat-10581	80	4	a	a	DET
easat-10581	80	5	real	real	ADJ
easat-10581	80	6	-	-	PUNCT
easat-10581	80	7	time	time	NOUN
easat-10581	80	8	area	area	NOUN
easat-10581	80	9	under	under	ADP
easat-10581	80	10	the	the	DET
easat-10581	80	11	curve	curve	NOUN
easat-10581	80	12	of	of	ADP
easat-10581	80	13	0.77	0.77	NUM
easat-10581	80	14	,	,	PUNCT
easat-10581	80	15	as	as	SCONJ
easat-10581	80	16	demonstrated	demonstrate	VERB
easat-10581	80	17	by	by	ADP
easat-10581	80	18	extensive	extensive	ADJ
easat-10581	80	19	simulation	simulation	NOUN
easat-10581	80	20	results	result	VERB
easat-10581	80	21	zhao	zhao	PROPN
easat-10581	80	22	et	et	PROPN
easat-10581	80	23	al	al	PROPN
easat-10581	80	24	.	.	PUNCT
easat-10581	81	1	[	[	X
easat-10581	81	2	14	14	NUM
easat-10581	81	3	]	]	PUNCT
easat-10581	81	4	.	.	PUNCT
easat-10581	82	1	almamlook	almamlook	NOUN
easat-10581	82	2	et	et	PROPN
easat-10581	82	3	al	al	PROPN
easat-10581	82	4	.	.	PUNCT
easat-10581	83	1	[	[	X
easat-10581	83	2	15	15	NUM
easat-10581	83	3	]	]	PUNCT
easat-10581	83	4	have	have	AUX
easat-10581	83	5	investigated	investigate	VERB
easat-10581	83	6	accurate	accurate	ADJ
easat-10581	83	7	models	model	NOUN
easat-10581	83	8	for	for	ADP
easat-10581	83	9	predicting	predict	VERB
easat-10581	83	10	traffic	traffic	NOUN
easat-10581	83	11	accident	accident	NOUN
easat-10581	83	12	severity	severity	NOUN
easat-10581	83	13	via	via	ADP
easat-10581	83	14	machine	machine	NOUN
easat-10581	83	15	learning	learn	VERB
easat-10581	83	16	techniques	technique	NOUN
easat-10581	83	17	such	such	ADJ
easat-10581	83	18	as	as	ADP
easat-10581	83	19	adaboost	adaboost	ADJ
easat-10581	83	20	,	,	PUNCT
easat-10581	83	21	logistic	logistic	ADJ
easat-10581	83	22	regression	regression	NOUN
easat-10581	83	23	,	,	PUNCT
easat-10581	83	24	naïve	naïve	ADJ
easat-10581	83	25	bayes	bayes	NOUN
easat-10581	83	26	,	,	PUNCT
easat-10581	83	27	and	and	CCONJ
easat-10581	83	28	random	random	ADJ
easat-10581	83	29	forests	forest	NOUN
easat-10581	83	30	.	.	PUNCT
easat-10581	84	1	the	the	DET
easat-10581	84	2	rf	rf	ADJ
easat-10581	84	3	model	model	NOUN
easat-10581	84	4	,	,	PUNCT
easat-10581	84	5	with	with	ADP
easat-10581	84	6	a	a	DET
easat-10581	84	7	75.5	75.5	NUM
easat-10581	84	8	%	%	NOUN
easat-10581	84	9	accuracy	accuracy	NOUN
easat-10581	84	10	rate	rate	NOUN
easat-10581	84	11	,	,	PUNCT
easat-10581	84	12	outperforms	outperform	VERB
easat-10581	84	13	other	other	ADJ
easat-10581	84	14	algorithms	algorithm	NOUN
easat-10581	84	15	,	,	PUNCT
easat-10581	84	16	such	such	ADJ
easat-10581	84	17	as	as	ADP
easat-10581	84	18	lr	lr	PROPN
easat-10581	84	19	,	,	PUNCT
easat-10581	84	20	nb	nb	INTJ
easat-10581	84	21	,	,	PUNCT
easat-10581	84	22	and	and	CCONJ
easat-10581	84	23	adaboost	adaboost	ADV
easat-10581	84	24	,	,	PUNCT
easat-10581	84	25	demonstrating	demonstrate	VERB
easat-10581	84	26	its	its	PRON
easat-10581	84	27	potential	potential	NOUN
easat-10581	84	28	for	for	ADP
easat-10581	84	29	predicting	predict	VERB
easat-10581	84	30	injury	injury	NOUN
easat-10581	84	31	severity	severity	NOUN
easat-10581	84	32	in	in	ADP
easat-10581	84	33	traffic	traffic	NOUN
easat-10581	84	34	accidents	accident	NOUN
easat-10581	84	35	[	[	X
easat-10581	84	36	15	15	NUM
easat-10581	84	37	]	]	PUNCT
easat-10581	84	38	.	.	PUNCT
easat-10581	85	1	three	three	NUM
easat-10581	85	2	machine	machine	NOUN
easat-10581	85	3	learning	learn	VERB
easat-10581	85	4	algorithms	algorithm	NOUN
easat-10581	85	5	were	be	AUX
easat-10581	85	6	tested	test	VERB
easat-10581	85	7	against	against	ADP
easat-10581	85	8	decision	decision	NOUN
easat-10581	85	9	trees	tree	NOUN
easat-10581	85	10	,	,	PUNCT
easat-10581	85	11	random	random	ADJ
easat-10581	85	12	forests	forest	NOUN
easat-10581	85	13	,	,	PUNCT
easat-10581	85	14	and	and	CCONJ
easat-10581	85	15	gradient	gradient	NOUN
easat-10581	85	16	-	-	PUNCT
easat-10581	85	17	boosted	boost	VERB
easat-10581	85	18	trees	tree	NOUN
easat-10581	85	19	via	via	ADP
easat-10581	85	20	automobile	automobile	NOUN
easat-10581	85	21	crash	crash	NOUN
easat-10581	85	22	data	datum	NOUN
easat-10581	85	23	from	from	ADP
easat-10581	85	24	the	the	DET
easat-10581	85	25	maryland	maryland	NOUN
easat-10581	85	26	state	state	NOUN
easat-10581	85	27	police	police	NOUN
easat-10581	85	28	in	in	ADP
easat-10581	85	29	the	the	DET
easat-10581	85	30	research	research	NOUN
easat-10581	85	31	work	work	NOUN
easat-10581	85	32	by	by	ADP
easat-10581	85	33	elyassami	elyassami	PROPN
easat-10581	85	34	et	et	PROPN
easat-10581	85	35	al	al	PROPN
easat-10581	85	36	.	.	PUNCT
easat-10581	86	1	[	[	X
easat-10581	86	2	16	16	NUM
easat-10581	86	3	]	]	PUNCT
easat-10581	86	4	.	.	PUNCT
easat-10581	87	1	the	the	DET
easat-10581	87	2	study	study	NOUN
easat-10581	87	3	's	's	PART
easat-10581	87	4	conclusions	conclusion	NOUN
easat-10581	87	5	demonstrated	demonstrate	VERB
easat-10581	87	6	that	that	SCONJ
easat-10581	87	7	the	the	DET
easat-10581	87	8	most	most	ADV
easat-10581	87	9	significant	significant	ADJ
easat-10581	87	10	variables	variable	NOUN
easat-10581	87	11	in	in	ADP
easat-10581	87	12	the	the	DET
easat-10581	87	13	predictive	predictive	ADJ
easat-10581	87	14	model	model	NOUN
easat-10581	87	15	of	of	ADP
easat-10581	87	16	traffic	traffic	NOUN
easat-10581	87	17	accidents	accident	NOUN
easat-10581	87	18	are	be	AUX
easat-10581	87	19	disregard	disregard	NOUN
easat-10581	87	20	for	for	ADP
easat-10581	87	21	stop	stop	NOUN
easat-10581	87	22	signs	sign	NOUN
easat-10581	87	23	and	and	CCONJ
easat-10581	87	24	traffic	traffic	NOUN
easat-10581	87	25	signals	signal	NOUN
easat-10581	87	26	,	,	PUNCT
easat-10581	87	27	issues	issue	NOUN
easat-10581	87	28	with	with	ADP
easat-10581	87	29	road	road	NOUN
easat-10581	87	30	995	995	NUM
easat-10581	87	31	edelweiss	edelweiss	PROPN
easat-10581	87	32	applied	apply	VERB
easat-10581	87	33	science	science	NOUN
easat-10581	87	34	and	and	CCONJ
easat-10581	87	35	technology	technology	NOUN
easat-10581	87	36	issn	issn	PROPN
easat-10581	87	37	:	:	PUNCT
easat-10581	87	38	2576	2576	NUM
easat-10581	87	39	-	-	SYM
easat-10581	87	40	8484	8484	NUM
easat-10581	87	41	vol	vol	NOUN
easat-10581	87	42	.	.	PROPN
easat-10581	88	1	9	9	NUM
easat-10581	88	2	,	,	PUNCT
easat-10581	88	3	no	no	INTJ
easat-10581	88	4	.	.	NOUN
easat-10581	88	5	10	10	NUM
easat-10581	88	6	:	:	PUNCT
easat-10581	88	7	992	992	NUM
easat-10581	88	8	-	-	SYM
easat-10581	88	9	1004	1004	NUM
easat-10581	88	10	,	,	PUNCT
easat-10581	88	11	2025	2025	NUM
easat-10581	88	12	doi	doi	NOUN
easat-10581	88	13	:	:	PUNCT
easat-10581	88	14	10.55214/2576	10.55214/2576	NUM
easat-10581	88	15	-	-	SYM
easat-10581	88	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	89	1	©	©	ADP
easat-10581	89	2	2025	2025	NUM
easat-10581	89	3	by	by	ADP
easat-10581	89	4	the	the	DET
easat-10581	89	5	authors	author	NOUN
easat-10581	89	6	;	;	PUNCT
easat-10581	89	7	licensee	licensee	PROPN
easat-10581	89	8	learning	learning	PROPN
easat-10581	89	9	gate	gate	PROPN
easat-10581	89	10	design	design	PROPN
easat-10581	89	11	,	,	PUNCT
easat-10581	89	12	low	low	ADJ
easat-10581	89	13	visibility	visibility	NOUN
easat-10581	89	14	,	,	PUNCT
easat-10581	89	15	and	and	CCONJ
easat-10581	89	16	unfavorable	unfavorable	ADJ
easat-10581	89	17	weather	weather	NOUN
easat-10581	89	18	.	.	PUNCT
easat-10581	90	1	according	accord	VERB
easat-10581	90	2	to	to	ADP
easat-10581	90	3	work	work	NOUN
easat-10581	90	4	by	by	ADP
easat-10581	90	5	chen	chen	PROPN
easat-10581	90	6	and	and	CCONJ
easat-10581	90	7	chen	chen	PROPN
easat-10581	90	8	[	[	X
easat-10581	90	9	17	17	NUM
easat-10581	90	10	]	]	PUNCT
easat-10581	90	11	,	,	PUNCT
easat-10581	90	12	the	the	DET
easat-10581	90	13	random	random	ADJ
easat-10581	90	14	forest	forest	NOUN
easat-10581	90	15	outperforms	outperform	NOUN
easat-10581	90	16	logistic	logistic	ADJ
easat-10581	90	17	regression	regression	NOUN
easat-10581	90	18	and	and	CCONJ
easat-10581	90	19	classification	classification	NOUN
easat-10581	90	20	and	and	CCONJ
easat-10581	90	21	regression	regression	NOUN
easat-10581	90	22	trees	tree	NOUN
easat-10581	90	23	in	in	ADP
easat-10581	90	24	terms	term	NOUN
easat-10581	90	25	of	of	ADP
easat-10581	90	26	accuracy	accuracy	NOUN
easat-10581	90	27	and	and	CCONJ
easat-10581	90	28	specificity	specificity	NOUN
easat-10581	90	29	in	in	ADP
easat-10581	90	30	modeling	model	VERB
easat-10581	90	31	the	the	DET
easat-10581	90	32	severity	severity	NOUN
easat-10581	90	33	of	of	ADP
easat-10581	90	34	traffic	traffic	NOUN
easat-10581	90	35	accidents	accident	NOUN
easat-10581	90	36	.	.	PUNCT
easat-10581	91	1	in	in	ADP
easat-10581	91	2	line	line	NOUN
easat-10581	91	3	with	with	ADP
easat-10581	91	4	earlier	early	ADJ
easat-10581	91	5	research	research	NOUN
easat-10581	91	6	findings	finding	NOUN
easat-10581	91	7	,	,	PUNCT
easat-10581	91	8	the	the	DET
easat-10581	91	9	random	random	ADJ
easat-10581	91	10	forest	forest	NOUN
easat-10581	91	11	emerged	emerge	VERB
easat-10581	91	12	as	as	ADP
easat-10581	91	13	the	the	DET
easat-10581	91	14	most	most	ADV
easat-10581	91	15	successful	successful	ADJ
easat-10581	91	16	forecasting	forecasting	NOUN
easat-10581	91	17	model	model	NOUN
easat-10581	91	18	among	among	ADP
easat-10581	91	19	the	the	DET
easat-10581	91	20	three	three	NUM
easat-10581	91	21	[	[	X
easat-10581	91	22	17	17	NUM
easat-10581	91	23	]	]	PUNCT
easat-10581	91	24	.	.	PUNCT
easat-10581	92	1	yan	yan	PROPN
easat-10581	93	1	and	and	CCONJ
easat-10581	93	2	shen	shen	VERB
easat-10581	94	1	[	[	X
easat-10581	94	2	18	18	NUM
easat-10581	94	3	]	]	PUNCT
easat-10581	94	4	have	have	AUX
easat-10581	94	5	employed	employ	VERB
easat-10581	94	6	a	a	DET
easat-10581	94	7	hybrid	hybrid	ADJ
easat-10581	94	8	model	model	NOUN
easat-10581	94	9	that	that	PRON
easat-10581	94	10	combines	combine	VERB
easat-10581	94	11	random	random	ADJ
easat-10581	94	12	forest	forest	NOUN
easat-10581	94	13	and	and	CCONJ
easat-10581	94	14	bayesian	bayesian	NOUN
easat-10581	94	15	optimization	optimization	NOUN
easat-10581	94	16	to	to	PART
easat-10581	94	17	obtain	obtain	VERB
easat-10581	94	18	highly	highly	ADV
easat-10581	94	19	accurate	accurate	ADJ
easat-10581	94	20	results	result	NOUN
easat-10581	94	21	.	.	PUNCT
easat-10581	95	1	random	random	ADJ
easat-10581	95	2	forest	forest	NOUN
easat-10581	95	3	was	be	AUX
easat-10581	95	4	used	use	VERB
easat-10581	95	5	as	as	ADP
easat-10581	95	6	a	a	DET
easat-10581	95	7	basic	basic	ADJ
easat-10581	95	8	predictive	predictive	ADJ
easat-10581	95	9	model	model	NOUN
easat-10581	95	10	,	,	PUNCT
easat-10581	95	11	and	and	CCONJ
easat-10581	95	12	bayesian	bayesian	NOUN
easat-10581	95	13	optimization	optimization	NOUN
easat-10581	95	14	was	be	AUX
easat-10581	95	15	used	use	VERB
easat-10581	95	16	to	to	PART
easat-10581	95	17	alter	alter	VERB
easat-10581	95	18	the	the	DET
easat-10581	95	19	random	random	ADJ
easat-10581	95	20	forest	forest	NOUN
easat-10581	95	21	parameters	parameter	NOUN
easat-10581	95	22	.	.	PUNCT
easat-10581	96	1	according	accord	VERB
easat-10581	96	2	to	to	ADP
easat-10581	96	3	the	the	DET
easat-10581	96	4	experimental	experimental	ADJ
easat-10581	96	5	results	result	NOUN
easat-10581	96	6	,	,	PUNCT
easat-10581	96	7	this	this	DET
easat-10581	96	8	model	model	NOUN
easat-10581	96	9	outperforms	outperform	VERB
easat-10581	96	10	traditional	traditional	ADJ
easat-10581	96	11	algorithms	algorithm	NOUN
easat-10581	96	12	in	in	ADP
easat-10581	96	13	terms	term	NOUN
easat-10581	96	14	of	of	ADP
easat-10581	96	15	accuracy	accuracy	NOUN
easat-10581	96	16	[	[	X
easat-10581	96	17	18	18	NUM
easat-10581	96	18	]	]	PUNCT
easat-10581	96	19	.	.	PUNCT
easat-10581	97	1	the	the	DET
easat-10581	97	2	work	work	NOUN
easat-10581	97	3	by	by	ADP
easat-10581	97	4	karamanlis	karamanlis	PROPN
easat-10581	97	5	et	et	PROPN
easat-10581	97	6	al	al	PROPN
easat-10581	97	7	.	.	PUNCT
easat-10581	98	1	[	[	X
easat-10581	98	2	19	19	NUM
easat-10581	98	3	]	]	PUNCT
easat-10581	98	4	is	be	AUX
easat-10581	98	5	another	another	DET
easat-10581	98	6	relevant	relevant	ADJ
easat-10581	98	7	contribution	contribution	NOUN
easat-10581	98	8	focusing	focus	VERB
easat-10581	98	9	on	on	ADP
easat-10581	98	10	the	the	DET
easat-10581	98	11	identification	identification	NOUN
easat-10581	98	12	of	of	ADP
easat-10581	98	13	black	black	ADJ
easat-10581	98	14	spots	spot	NOUN
easat-10581	98	15	(	(	PUNCT
easat-10581	98	16	high	high	ADJ
easat-10581	98	17	-	-	PUNCT
easat-10581	98	18	risk	risk	NOUN
easat-10581	98	19	zones	zone	NOUN
easat-10581	98	20	)	)	PUNCT
easat-10581	98	21	in	in	ADP
easat-10581	98	22	northern	northern	ADJ
easat-10581	98	23	greece	greece	PROPN
easat-10581	98	24	via	via	ADP
easat-10581	98	25	classical	classical	ADJ
easat-10581	98	26	statistical	statistical	ADJ
easat-10581	98	27	models	model	NOUN
easat-10581	98	28	and	and	CCONJ
easat-10581	98	29	modern	modern	ADJ
easat-10581	98	30	machine	machine	NOUN
easat-10581	98	31	learning	learn	VERB
easat-10581	98	32	algorithms	algorithm	NOUN
easat-10581	98	33	.	.	PUNCT
easat-10581	99	1	their	their	PRON
easat-10581	99	2	research	research	NOUN
easat-10581	99	3	achieved	achieve	VERB
easat-10581	99	4	promising	promising	ADJ
easat-10581	99	5	accuracy	accuracy	NOUN
easat-10581	99	6	and	and	CCONJ
easat-10581	99	7	advocates	advocate	VERB
easat-10581	99	8	hybrid	hybrid	ADJ
easat-10581	99	9	approaches	approach	NOUN
easat-10581	99	10	that	that	PRON
easat-10581	99	11	integrate	integrate	VERB
easat-10581	99	12	logistic	logistic	ADJ
easat-10581	99	13	regression	regression	NOUN
easat-10581	99	14	and	and	CCONJ
easat-10581	99	15	deep	deep	ADJ
easat-10581	99	16	learning	learning	NOUN
easat-10581	99	17	architectures	architecture	NOUN
easat-10581	99	18	as	as	ADP
easat-10581	99	19	karamanlis	karamanlis	PROPN
easat-10581	99	20	et	et	PROPN
easat-10581	99	21	al	al	PROPN
easat-10581	99	22	.	.	PUNCT
easat-10581	100	1	[	[	X
easat-10581	100	2	19	19	NUM
easat-10581	100	3	]	]	PUNCT
easat-10581	100	4	.	.	PUNCT
easat-10581	101	1	dong	dong	PROPN
easat-10581	101	2	et	et	PROPN
easat-10581	101	3	al	al	PROPN
easat-10581	101	4	.	.	PUNCT
easat-10581	102	1	[	[	X
easat-10581	102	2	20	20	NUM
easat-10581	102	3	]	]	PUNCT
easat-10581	102	4	have	have	AUX
easat-10581	102	5	proposed	propose	VERB
easat-10581	102	6	four	four	NUM
easat-10581	102	7	boosting	boost	VERB
easat-10581	102	8	-	-	PUNCT
easat-10581	102	9	based	base	VERB
easat-10581	102	10	ensemble	ensemble	ADJ
easat-10581	102	11	learning	learning	NOUN
easat-10581	102	12	models	model	NOUN
easat-10581	102	13	for	for	ADP
easat-10581	102	14	predicting	predict	VERB
easat-10581	102	15	road	road	NOUN
easat-10581	102	16	traffic	traffic	NOUN
easat-10581	102	17	injury	injury	NOUN
easat-10581	102	18	severity	severity	NOUN
easat-10581	102	19	,	,	PUNCT
easat-10581	102	20	such	such	ADJ
easat-10581	102	21	as	as	ADP
easat-10581	102	22	adaptive	adaptive	ADJ
easat-10581	102	23	gradient	gradient	NOUN
easat-10581	102	24	boosting	boosting	NOUN
easat-10581	102	25	,	,	PUNCT
easat-10581	102	26	natural	natural	ADJ
easat-10581	102	27	gradient	gradient	NOUN
easat-10581	102	28	boosting	boosting	NOUN
easat-10581	102	29	,	,	PUNCT
easat-10581	102	30	categorical	categorical	ADJ
easat-10581	102	31	gradient	gradient	NOUN
easat-10581	102	32	boosting	boosting	NOUN
easat-10581	102	33	,	,	PUNCT
easat-10581	102	34	and	and	CCONJ
easat-10581	102	35	light	light	ADJ
easat-10581	102	36	gradient	gradient	NOUN
easat-10581	102	37	boosting	boost	VERB
easat-10581	102	38	machines	machine	NOUN
easat-10581	102	39	.	.	PUNCT
easat-10581	103	1	the	the	DET
easat-10581	103	2	light	light	ADJ
easat-10581	103	3	gradient	gradient	NOUN
easat-10581	103	4	boosting	boost	VERB
easat-10581	103	5	machine	machine	NOUN
easat-10581	103	6	(	(	PUNCT
easat-10581	103	7	lightgbm	lightgbm	ADJ
easat-10581	103	8	)	)	PUNCT
easat-10581	103	9	achieves	achieve	VERB
easat-10581	103	10	the	the	DET
easat-10581	103	11	highest	high	ADJ
easat-10581	103	12	classification	classification	NOUN
easat-10581	103	13	accuracy	accuracy	NOUN
easat-10581	103	14	and	and	CCONJ
easat-10581	103	15	precision	precision	NOUN
easat-10581	103	16	.	.	PUNCT
easat-10581	104	1	the	the	DET
easat-10581	104	2	study	study	NOUN
easat-10581	104	3	revealed	reveal	VERB
easat-10581	104	4	that	that	SCONJ
easat-10581	104	5	factors	factor	NOUN
easat-10581	104	6	or	or	CCONJ
easat-10581	104	7	variables	variable	NOUN
easat-10581	104	8	such	such	ADJ
easat-10581	104	9	as	as	ADP
easat-10581	104	10	the	the	DET
easat-10581	104	11	month	month	NOUN
easat-10581	104	12	of	of	ADP
easat-10581	104	13	the	the	DET
easat-10581	104	14	year	year	NOUN
easat-10581	104	15	,	,	PUNCT
easat-10581	104	16	driver	driver	NOUN
easat-10581	104	17	age	age	NOUN
easat-10581	104	18	,	,	PUNCT
easat-10581	104	19	cause	cause	NOUN
easat-10581	104	20	of	of	ADP
easat-10581	104	21	accident	accident	NOUN
easat-10581	104	22	,	,	PUNCT
easat-10581	104	23	and	and	CCONJ
easat-10581	104	24	collision	collision	NOUN
easat-10581	104	25	type	type	NOUN
easat-10581	104	26	significantly	significantly	ADV
easat-10581	104	27	influence	influence	NOUN
easat-10581	104	28	injury	injury	NOUN
easat-10581	104	29	risk	risk	NOUN
easat-10581	104	30	[	[	X
easat-10581	104	31	20	20	NUM
easat-10581	104	32	]	]	PUNCT
easat-10581	104	33	.	.	PUNCT
easat-10581	105	1	combining	combine	VERB
easat-10581	105	2	lightgbm	lightgbm	ADJ
easat-10581	105	3	and	and	CCONJ
easat-10581	105	4	shap	shap	PROPN
easat-10581	105	5	could	could	AUX
easat-10581	105	6	lead	lead	VERB
easat-10581	105	7	to	to	ADP
easat-10581	105	8	the	the	DET
easat-10581	105	9	development	development	NOUN
easat-10581	105	10	of	of	ADP
easat-10581	105	11	an	an	DET
easat-10581	105	12	interpretable	interpretable	ADJ
easat-10581	105	13	model	model	NOUN
easat-10581	105	14	.	.	PUNCT
easat-10581	106	1	in	in	ADP
easat-10581	106	2	the	the	DET
easat-10581	106	3	study	study	NOUN
easat-10581	106	4	by	by	ADP
easat-10581	106	5	mahendra	mahendra	PROPN
easat-10581	106	6	and	and	CCONJ
easat-10581	106	7	roopashree	roopashree	NOUN
easat-10581	107	1	[	[	X
easat-10581	107	2	21	21	NUM
easat-10581	107	3	]	]	X
easat-10581	107	4	,	,	PUNCT
easat-10581	107	5	four	four	NUM
easat-10581	107	6	criteria	criterion	NOUN
easat-10581	107	7	are	be	AUX
easat-10581	107	8	used	use	VERB
easat-10581	107	9	to	to	PART
easat-10581	107	10	predict	predict	VERB
easat-10581	107	11	road	road	NOUN
easat-10581	107	12	accidents	accident	NOUN
easat-10581	107	13	:	:	PUNCT
easat-10581	107	14	the	the	DET
easat-10581	107	15	type	type	NOUN
easat-10581	107	16	of	of	ADP
easat-10581	107	17	collision	collision	NOUN
easat-10581	107	18	,	,	PUNCT
easat-10581	107	19	the	the	DET
easat-10581	107	20	road	road	NOUN
easat-10581	107	21	type	type	NOUN
easat-10581	107	22	,	,	PUNCT
easat-10581	107	23	the	the	DET
easat-10581	107	24	location	location	NOUN
easat-10581	107	25	,	,	PUNCT
easat-10581	107	26	and	and	CCONJ
easat-10581	107	27	the	the	DET
easat-10581	107	28	weather	weather	NOUN
easat-10581	107	29	.	.	PUNCT
easat-10581	108	1	both	both	PRON
easat-10581	108	2	a	a	DET
easat-10581	108	3	random	random	ADJ
easat-10581	108	4	forest	forest	NOUN
easat-10581	108	5	and	and	CCONJ
easat-10581	108	6	a	a	DET
easat-10581	108	7	decision	decision	NOUN
easat-10581	108	8	tree	tree	NOUN
easat-10581	108	9	regressor	regressor	NOUN
easat-10581	108	10	were	be	AUX
easat-10581	108	11	included	include	VERB
easat-10581	108	12	in	in	ADP
easat-10581	108	13	their	their	PRON
easat-10581	108	14	machine	machine	NOUN
easat-10581	108	15	learning	learning	NOUN
easat-10581	108	16	model	model	NOUN
easat-10581	108	17	,	,	PUNCT
easat-10581	108	18	and	and	CCONJ
easat-10581	108	19	the	the	DET
easat-10581	108	20	findings	finding	NOUN
easat-10581	108	21	of	of	ADP
easat-10581	108	22	the	the	DET
easat-10581	108	23	analysis	analysis	NOUN
easat-10581	108	24	demonstrated	demonstrate	VERB
easat-10581	108	25	that	that	SCONJ
easat-10581	108	26	the	the	DET
easat-10581	108	27	random	random	ADJ
easat-10581	108	28	forest	forest	NOUN
easat-10581	108	29	regressor	regressor	NOUN
easat-10581	108	30	model	model	NOUN
easat-10581	108	31	outperforms	outperform	VERB
easat-10581	108	32	the	the	DET
easat-10581	108	33	decision	decision	NOUN
easat-10581	108	34	tree	tree	NOUN
easat-10581	108	35	regressor	regressor	NOUN
easat-10581	108	36	model	model	NOUN
easat-10581	108	37	[	[	X
easat-10581	108	38	21	21	NUM
easat-10581	108	39	]	]	PUNCT
easat-10581	108	40	.	.	PUNCT
easat-10581	109	1	3	3	X
easat-10581	109	2	.	.	X
easat-10581	109	3	methodology	methodology	NOUN
easat-10581	109	4	this	this	DET
easat-10581	109	5	section	section	NOUN
easat-10581	109	6	explains	explain	VERB
easat-10581	109	7	the	the	DET
easat-10581	109	8	methodology	methodology	NOUN
easat-10581	109	9	followed	follow	VERB
easat-10581	109	10	for	for	ADP
easat-10581	109	11	this	this	DET
easat-10581	109	12	research	research	NOUN
easat-10581	109	13	,	,	PUNCT
easat-10581	109	14	the	the	DET
easat-10581	109	15	phases	phase	NOUN
easat-10581	109	16	that	that	PRON
easat-10581	109	17	have	have	AUX
easat-10581	109	18	been	be	AUX
easat-10581	109	19	completed	complete	VERB
easat-10581	109	20	,	,	PUNCT
easat-10581	109	21	the	the	DET
easat-10581	109	22	data	data	NOUN
easat-10581	109	23	collection	collection	NOUN
easat-10581	109	24	process	process	NOUN
easat-10581	109	25	,	,	PUNCT
easat-10581	109	26	and	and	CCONJ
easat-10581	109	27	the	the	DET
easat-10581	109	28	data	data	NOUN
easat-10581	109	29	mining	mining	NOUN
easat-10581	109	30	models	model	NOUN
easat-10581	109	31	used	use	VERB
easat-10581	109	32	for	for	ADP
easat-10581	109	33	these	these	DET
easat-10581	109	34	data	datum	NOUN
easat-10581	109	35	.	.	PUNCT
easat-10581	110	1	for	for	ADP
easat-10581	110	2	the	the	DET
easat-10581	110	3	realization	realization	NOUN
easat-10581	110	4	of	of	ADP
easat-10581	110	5	this	this	DET
easat-10581	110	6	project	project	NOUN
easat-10581	110	7	,	,	PUNCT
easat-10581	110	8	the	the	DET
easat-10581	110	9	methodology	methodology	NOUN
easat-10581	110	10	was	be	AUX
easat-10581	110	11	divided	divide	VERB
easat-10581	110	12	into	into	ADP
easat-10581	110	13	two	two	NUM
easat-10581	110	14	main	main	ADJ
easat-10581	110	15	parts	part	NOUN
easat-10581	110	16	:	:	PUNCT
easat-10581	110	17	data	datum	NOUN
easat-10581	110	18	preprocessing	preprocessing	NOUN
easat-10581	110	19	and	and	CCONJ
easat-10581	110	20	classification	classification	NOUN
easat-10581	110	21	models	model	NOUN
easat-10581	110	22	based	base	VERB
easat-10581	110	23	on	on	ADP
easat-10581	110	24	the	the	DET
easat-10581	110	25	naive	naive	ADJ
easat-10581	110	26	bayes	bayes	NOUN
easat-10581	110	27	,	,	PUNCT
easat-10581	110	28	random	random	ADJ
easat-10581	110	29	forests	forest	NOUN
easat-10581	110	30	,	,	PUNCT
easat-10581	110	31	xgboost	xgboost	ADV
easat-10581	110	32	,	,	PUNCT
easat-10581	110	33	and	and	CCONJ
easat-10581	110	34	lightgbm	lightgbm	ADJ
easat-10581	110	35	algorithms	algorithm	NOUN
easat-10581	110	36	.	.	PUNCT
easat-10581	111	1	3.1	3.1	NUM
easat-10581	111	2	.	.	PUNCT
easat-10581	111	3	data	datum	NOUN
easat-10581	111	4	collection	collection	NOUN
easat-10581	111	5	and	and	CCONJ
easat-10581	111	6	preprocessing	preprocesse	VERB
easat-10581	111	7	one	one	NUM
easat-10581	111	8	of	of	ADP
easat-10581	111	9	the	the	DET
easat-10581	111	10	key	key	ADJ
easat-10581	111	11	parts	part	NOUN
easat-10581	111	12	of	of	ADP
easat-10581	111	13	this	this	DET
easat-10581	111	14	study	study	NOUN
easat-10581	111	15	was	be	AUX
easat-10581	111	16	extracting	extract	VERB
easat-10581	111	17	and	and	CCONJ
easat-10581	111	18	preparing	prepare	VERB
easat-10581	111	19	the	the	DET
easat-10581	111	20	data	datum	NOUN
easat-10581	111	21	,	,	PUNCT
easat-10581	111	22	which	which	PRON
easat-10581	111	23	were	be	AUX
easat-10581	111	24	then	then	ADV
easat-10581	111	25	utilized	utilize	VERB
easat-10581	111	26	in	in	ADP
easat-10581	111	27	the	the	DET
easat-10581	111	28	data	data	NOUN
easat-10581	111	29	mining	mining	NOUN
easat-10581	111	30	models	model	NOUN
easat-10581	111	31	to	to	PART
easat-10581	111	32	meet	meet	VERB
easat-10581	111	33	the	the	DET
easat-10581	111	34	goals	goal	NOUN
easat-10581	111	35	of	of	ADP
easat-10581	111	36	this	this	DET
easat-10581	111	37	research	research	NOUN
easat-10581	111	38	work	work	NOUN
easat-10581	111	39	.	.	PUNCT
easat-10581	112	1	this	this	PRON
easat-10581	112	2	was	be	AUX
easat-10581	112	3	an	an	DET
easat-10581	112	4	especially	especially	ADV
easat-10581	112	5	challenging	challenging	ADJ
easat-10581	112	6	endeavor	endeavor	NOUN
easat-10581	112	7	,	,	PUNCT
easat-10581	112	8	as	as	SCONJ
easat-10581	112	9	only	only	ADV
easat-10581	112	10	a	a	DET
easat-10581	112	11	limited	limited	ADJ
easat-10581	112	12	number	number	NOUN
easat-10581	112	13	of	of	ADP
easat-10581	112	14	papers	paper	NOUN
easat-10581	112	15	and	and	CCONJ
easat-10581	112	16	studies	study	NOUN
easat-10581	112	17	are	be	AUX
easat-10581	112	18	available	available	ADJ
easat-10581	112	19	that	that	SCONJ
easat-10581	112	20	target	target	NOUN
easat-10581	112	21	text	text	NOUN
easat-10581	112	22	processing	processing	NOUN
easat-10581	112	23	in	in	ADP
easat-10581	112	24	the	the	DET
easat-10581	112	25	albanian	albanian	ADJ
easat-10581	112	26	language	language	NOUN
easat-10581	112	27	.	.	PUNCT
easat-10581	113	1	during	during	ADP
easat-10581	113	2	the	the	DET
easat-10581	113	3	preprocessing	preprocessing	NOUN
easat-10581	113	4	phase	phase	NOUN
easat-10581	113	5	,	,	PUNCT
easat-10581	113	6	the	the	DET
easat-10581	113	7	work	work	NOUN
easat-10581	113	8	was	be	AUX
easat-10581	113	9	organized	organize	VERB
easat-10581	113	10	into	into	ADP
easat-10581	113	11	four	four	NUM
easat-10581	113	12	important	important	ADJ
easat-10581	113	13	steps	step	NOUN
easat-10581	113	14	:	:	PUNCT
easat-10581	113	15	data	data	NOUN
easat-10581	113	16	extraction	extraction	NOUN
easat-10581	113	17	,	,	PUNCT
easat-10581	113	18	filtering	filtering	NOUN
easat-10581	113	19	,	,	PUNCT
easat-10581	113	20	refinement	refinement	NOUN
easat-10581	113	21	,	,	PUNCT
easat-10581	113	22	and	and	CCONJ
easat-10581	113	23	manual	manual	ADJ
easat-10581	113	24	control	control	NOUN
easat-10581	113	25	.	.	PUNCT
easat-10581	114	1	these	these	DET
easat-10581	114	2	steps	step	NOUN
easat-10581	114	3	were	be	AUX
easat-10581	114	4	followed	follow	VERB
easat-10581	114	5	to	to	PART
easat-10581	114	6	provide	provide	VERB
easat-10581	114	7	the	the	DET
easat-10581	114	8	dataset	dataset	NOUN
easat-10581	114	9	for	for	ADP
easat-10581	114	10	the	the	DET
easat-10581	114	11	study	study	NOUN
easat-10581	114	12	,	,	PUNCT
easat-10581	114	13	as	as	SCONJ
easat-10581	114	14	described	describe	VERB
easat-10581	114	15	in	in	ADP
easat-10581	114	16	the	the	DET
easat-10581	114	17	following	follow	VERB
easat-10581	114	18	sections	section	NOUN
easat-10581	114	19	:	:	PUNCT
easat-10581	114	20	step	step	NOUN
easat-10581	114	21	1	1	NUM
easat-10581	114	22	:	:	PUNCT
easat-10581	114	23	data	datum	NOUN
easat-10581	114	24	extraction	extraction	NOUN
easat-10581	114	25	.	.	PUNCT
easat-10581	115	1	as	as	ADP
easat-10581	115	2	the	the	DET
easat-10581	115	3	primary	primary	ADJ
easat-10581	115	4	resource	resource	NOUN
easat-10581	115	5	for	for	ADP
easat-10581	115	6	our	our	PRON
easat-10581	115	7	data	datum	NOUN
easat-10581	115	8	collection	collection	NOUN
easat-10581	115	9	,	,	PUNCT
easat-10581	115	10	several	several	ADJ
easat-10581	115	11	albanian	albanian	ADJ
easat-10581	115	12	online	online	PROPN
easat-10581	115	13	news	news	NOUN
easat-10581	115	14	portals	portal	NOUN
easat-10581	115	15	are	be	AUX
easat-10581	115	16	utilized	utilize	VERB
easat-10581	115	17	,	,	PUNCT
easat-10581	115	18	from	from	ADP
easat-10581	115	19	which	which	PRON
easat-10581	115	20	the	the	DET
easat-10581	115	21	texts	text	NOUN
easat-10581	115	22	of	of	ADP
easat-10581	115	23	various	various	ADJ
easat-10581	115	24	articles	article	NOUN
easat-10581	115	25	are	be	AUX
easat-10581	115	26	extracted	extract	VERB
easat-10581	115	27	.	.	PUNCT
easat-10581	116	1	this	this	PRON
easat-10581	116	2	was	be	AUX
easat-10581	116	3	achieved	achieve	VERB
easat-10581	116	4	by	by	ADP
easat-10581	116	5	implementing	implement	VERB
easat-10581	116	6	a	a	DET
easat-10581	116	7	web	web	NOUN
easat-10581	116	8	-	-	PUNCT
easat-10581	116	9	scraping	scrape	VERB
easat-10581	116	10	python	python	NOUN
easat-10581	116	11	application	application	NOUN
easat-10581	116	12	based	base	VERB
easat-10581	116	13	on	on	ADP
easat-10581	116	14	the	the	DET
easat-10581	116	15	beautifulsoup	beautifulsoup	NOUN
easat-10581	116	16	library	library	NOUN
easat-10581	117	1	[	[	X
easat-10581	117	2	22	22	NUM
easat-10581	117	3	]	]	PUNCT
easat-10581	117	4	.	.	PUNCT
easat-10581	118	1	this	this	DET
easat-10581	118	2	collection	collection	NOUN
easat-10581	118	3	is	be	AUX
easat-10581	118	4	designed	design	VERB
easat-10581	118	5	to	to	PART
easat-10581	118	6	serve	serve	VERB
easat-10581	118	7	even	even	ADV
easat-10581	118	8	for	for	ADP
easat-10581	118	9	further	further	ADJ
easat-10581	118	10	research	research	NOUN
easat-10581	118	11	directions	direction	NOUN
easat-10581	118	12	,	,	PUNCT
easat-10581	118	13	as	as	SCONJ
easat-10581	118	14	it	it	PRON
easat-10581	118	15	will	will	AUX
easat-10581	118	16	be	be	AUX
easat-10581	118	17	a	a	DET
easat-10581	118	18	large	large	ADJ
easat-10581	118	19	base	base	NOUN
easat-10581	118	20	with	with	ADP
easat-10581	118	21	articles	article	NOUN
easat-10581	118	22	from	from	ADP
easat-10581	118	23	various	various	ADJ
easat-10581	118	24	topics	topic	NOUN
easat-10581	118	25	.	.	PUNCT
easat-10581	119	1	the	the	DET
easat-10581	119	2	beautifulsoup	beautifulsoup	NOUN
easat-10581	119	3	python	python	NOUN
easat-10581	119	4	module	module	NOUN
easat-10581	119	5	is	be	AUX
easat-10581	119	6	designed	design	VERB
easat-10581	119	7	to	to	PART
easat-10581	119	8	simplify	simplify	VERB
easat-10581	119	9	the	the	DET
easat-10581	119	10	extraction	extraction	NOUN
easat-10581	119	11	of	of	ADP
easat-10581	119	12	data	datum	NOUN
easat-10581	119	13	from	from	ADP
easat-10581	119	14	html	html	NOUN
easat-10581	119	15	or	or	CCONJ
easat-10581	119	16	xml	xml	VERB
easat-10581	119	17	pages	page	NOUN
easat-10581	119	18	.	.	PUNCT
easat-10581	120	1	through	through	ADP
easat-10581	120	2	this	this	DET
easat-10581	120	3	process	process	NOUN
easat-10581	120	4	,	,	PUNCT
easat-10581	120	5	approximately	approximately	ADV
easat-10581	120	6	80,750	80,750	NUM
easat-10581	120	7	articles	article	NOUN
easat-10581	120	8	were	be	AUX
easat-10581	120	9	extracted	extract	VERB
easat-10581	120	10	and	and	CCONJ
easat-10581	120	11	stored	store	VERB
easat-10581	120	12	in	in	ADP
easat-10581	120	13	a	a	DET
easat-10581	120	14	csv	csv	NOUN
easat-10581	120	15	file	file	NOUN
easat-10581	120	16	,	,	PUNCT
easat-10581	120	17	where	where	SCONJ
easat-10581	120	18	the	the	DET
easat-10581	120	19	data	datum	NOUN
easat-10581	120	20	were	be	AUX
easat-10581	120	21	structured	structure	VERB
easat-10581	120	22	into	into	ADP
easat-10581	120	23	a	a	DET
easat-10581	120	24	tabular	tabular	ADJ
easat-10581	120	25	format	format	NOUN
easat-10581	120	26	containing	contain	VERB
easat-10581	120	27	the	the	DET
easat-10581	120	28	following	follow	VERB
easat-10581	120	29	fields	field	NOUN
easat-10581	120	30	:	:	PUNCT
easat-10581	120	31	number	number	NOUN
easat-10581	120	32	,	,	PUNCT
easat-10581	120	33	news	news	NOUN
easat-10581	120	34	source	source	NOUN
easat-10581	120	35	,	,	PUNCT
easat-10581	120	36	article	article	NOUN
easat-10581	120	37	date	date	NOUN
easat-10581	120	38	,	,	PUNCT
easat-10581	120	39	and	and	CCONJ
easat-10581	120	40	the	the	DET
easat-10581	120	41	article	article	NOUN
easat-10581	120	42	body	body	NOUN
easat-10581	120	43	.	.	PUNCT
easat-10581	121	1	step	step	NOUN
easat-10581	121	2	2	2	NUM
easat-10581	121	3	:	:	PUNCT
easat-10581	121	4	during	during	ADP
easat-10581	121	5	the	the	DET
easat-10581	121	6	second	second	ADJ
easat-10581	121	7	stage	stage	NOUN
easat-10581	121	8	,	,	PUNCT
easat-10581	121	9	preprocessing	preprocesse	VERB
easat-10581	121	10	on	on	ADP
easat-10581	121	11	a	a	DET
easat-10581	121	12	large	large	ADJ
easat-10581	121	13	database	database	NOUN
easat-10581	121	14	of	of	ADP
easat-10581	121	15	news	news	NOUN
easat-10581	121	16	articles	article	NOUN
easat-10581	121	17	is	be	AUX
easat-10581	121	18	applied	apply	VERB
easat-10581	121	19	,	,	PUNCT
easat-10581	121	20	filtering	filter	VERB
easat-10581	121	21	it	it	PRON
easat-10581	121	22	to	to	PART
easat-10581	121	23	extract	extract	VERB
easat-10581	121	24	articles	article	NOUN
easat-10581	121	25	related	relate	VERB
easat-10581	121	26	to	to	ADP
easat-10581	121	27	road	road	NOUN
easat-10581	121	28	accidents	accident	NOUN
easat-10581	121	29	that	that	PRON
easat-10581	121	30	have	have	AUX
easat-10581	121	31	occurred	occur	VERB
easat-10581	121	32	within	within	ADP
easat-10581	121	33	the	the	DET
easat-10581	121	34	state	state	NOUN
easat-10581	121	35	of	of	ADP
easat-10581	121	36	albania	albania	PROPN
easat-10581	121	37	.	.	PUNCT
easat-10581	122	1	during	during	ADP
easat-10581	122	2	this	this	DET
easat-10581	122	3	stage	stage	NOUN
easat-10581	122	4	,	,	PUNCT
easat-10581	122	5	in	in	ADP
easat-10581	122	6	addition	addition	NOUN
easat-10581	122	7	to	to	ADP
easat-10581	122	8	common	common	ADJ
easat-10581	122	9	data	datum	NOUN
easat-10581	122	10	preprocessing	preprocessing	NOUN
easat-10581	122	11	libraries	library	NOUN
easat-10581	122	12	,	,	PUNCT
easat-10581	122	13	such	such	ADJ
easat-10581	122	14	as	as	SCONJ
easat-10581	122	15	pandas	panda	NOUN
easat-10581	122	16	and	and	CCONJ
easat-10581	122	17	numpy	numpy	NOUN
easat-10581	122	18	,	,	PUNCT
easat-10581	122	19	extensive	extensive	ADJ
easat-10581	122	20	use	use	NOUN
easat-10581	122	21	of	of	ADP
easat-10581	122	22	the	the	DET
easat-10581	122	23	text	text	NOUN
easat-10581	122	24	processing	processing	NOUN
easat-10581	122	25	library	library	NOUN
easat-10581	122	26	nltk	nltk	NOUN
easat-10581	122	27	was	be	AUX
easat-10581	122	28	employed	employ	VERB
easat-10581	122	29	.	.	PUNCT
easat-10581	123	1	nltk	nltk	PROPN
easat-10581	123	2	is	be	AUX
easat-10581	123	3	a	a	DET
easat-10581	123	4	widely	widely	ADV
easat-10581	123	5	used	use	VERB
easat-10581	123	6	python	python	NOUN
easat-10581	123	7	996	996	NUM
easat-10581	123	8	edelweiss	edelweiss	PROPN
easat-10581	123	9	applied	apply	VERB
easat-10581	123	10	science	science	NOUN
easat-10581	123	11	and	and	CCONJ
easat-10581	123	12	technology	technology	NOUN
easat-10581	123	13	issn	issn	PROPN
easat-10581	123	14	:	:	PUNCT
easat-10581	123	15	2576	2576	NUM
easat-10581	123	16	-	-	SYM
easat-10581	123	17	8484	8484	NUM
easat-10581	123	18	vol	vol	NOUN
easat-10581	123	19	.	.	PROPN
easat-10581	124	1	9	9	NUM
easat-10581	124	2	,	,	PUNCT
easat-10581	124	3	no	no	INTJ
easat-10581	124	4	.	.	NOUN
easat-10581	124	5	10	10	NUM
easat-10581	124	6	:	:	PUNCT
easat-10581	124	7	992	992	NUM
easat-10581	124	8	-	-	SYM
easat-10581	124	9	1004	1004	NUM
easat-10581	124	10	,	,	PUNCT
easat-10581	124	11	2025	2025	NUM
easat-10581	124	12	doi	doi	NOUN
easat-10581	124	13	:	:	PUNCT
easat-10581	124	14	10.55214/2576	10.55214/2576	NUM
easat-10581	124	15	-	-	SYM
easat-10581	124	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	125	1	©	©	ADP
easat-10581	125	2	2025	2025	NUM
easat-10581	125	3	by	by	ADP
easat-10581	125	4	the	the	DET
easat-10581	125	5	authors	author	NOUN
easat-10581	125	6	;	;	PUNCT
easat-10581	125	7	licensee	licensee	PROPN
easat-10581	125	8	learning	learn	VERB
easat-10581	125	9	gate	gate	NOUN
easat-10581	125	10	toolkit	toolkit	NOUN
easat-10581	125	11	for	for	ADP
easat-10581	125	12	working	work	VERB
easat-10581	125	13	with	with	ADP
easat-10581	125	14	natural	natural	ADJ
easat-10581	125	15	language	language	NOUN
easat-10581	125	16	processing	processing	NOUN
easat-10581	125	17	,	,	PUNCT
easat-10581	125	18	providing	provide	VERB
easat-10581	125	19	versatile	versatile	ADJ
easat-10581	125	20	tools	tool	NOUN
easat-10581	125	21	for	for	ADP
easat-10581	125	22	various	various	ADJ
easat-10581	125	23	language	language	NOUN
easat-10581	125	24	processing	processing	NOUN
easat-10581	125	25	tasks	task	NOUN
easat-10581	125	26	,	,	PUNCT
easat-10581	125	27	such	such	ADJ
easat-10581	125	28	as	as	ADP
easat-10581	125	29	text	text	NOUN
easat-10581	125	30	segmentation	segmentation	NOUN
easat-10581	125	31	,	,	PUNCT
easat-10581	125	32	tokenization	tokenization	NOUN
easat-10581	125	33	,	,	PUNCT
easat-10581	125	34	stemming	stemming	NOUN
easat-10581	125	35	,	,	PUNCT
easat-10581	125	36	and	and	CCONJ
easat-10581	125	37	part	part	NOUN
easat-10581	125	38	-	-	PUNCT
easat-10581	125	39	of	of	ADP
easat-10581	125	40	-	-	PUNCT
easat-10581	125	41	speech	speech	NOUN
easat-10581	125	42	tagging	tagging	NOUN
easat-10581	125	43	.	.	PUNCT
easat-10581	126	1	despite	despite	SCONJ
easat-10581	126	2	being	be	AUX
easat-10581	126	3	primarily	primarily	ADV
easat-10581	126	4	designed	design	VERB
easat-10581	126	5	for	for	ADP
easat-10581	126	6	english	english	PROPN
easat-10581	126	7	,	,	PUNCT
easat-10581	126	8	modifications	modification	NOUN
easat-10581	126	9	were	be	AUX
easat-10581	126	10	made	make	VERB
easat-10581	126	11	to	to	ADP
easat-10581	126	12	several	several	ADJ
easat-10581	126	13	of	of	ADP
easat-10581	126	14	its	its	PRON
easat-10581	126	15	components	component	NOUN
easat-10581	126	16	to	to	PART
easat-10581	126	17	support	support	VERB
easat-10581	126	18	the	the	DET
easat-10581	126	19	albanian	albanian	ADJ
easat-10581	126	20	language	language	NOUN
easat-10581	126	21	,	,	PUNCT
easat-10581	126	22	owing	owe	VERB
easat-10581	126	23	to	to	ADP
easat-10581	126	24	its	its	PRON
easat-10581	126	25	modular	modular	ADJ
easat-10581	126	26	and	and	CCONJ
easat-10581	126	27	extensible	extensible	ADJ
easat-10581	126	28	nature	nature	NOUN
easat-10581	126	29	[	[	X
easat-10581	126	30	23	23	NUM
easat-10581	126	31	]	]	PUNCT
easat-10581	126	32	.	.	PUNCT
easat-10581	127	1	to	to	PART
easat-10581	127	2	assist	assist	VERB
easat-10581	127	3	the	the	DET
easat-10581	127	4	nlp	nlp	NOUN
easat-10581	127	5	tasks	task	NOUN
easat-10581	127	6	in	in	ADP
easat-10581	127	7	the	the	DET
easat-10581	127	8	albanian	albanian	ADJ
easat-10581	127	9	language	language	NOUN
easat-10581	127	10	,	,	PUNCT
easat-10581	127	11	we	we	PRON
easat-10581	127	12	manually	manually	ADV
easat-10581	127	13	constructed	construct	VERB
easat-10581	127	14	two	two	NUM
easat-10581	127	15	dedicated	dedicated	ADJ
easat-10581	127	16	domain	domain	NOUN
easat-10581	127	17	-	-	PUNCT
easat-10581	127	18	specific	specific	NOUN
easat-10581	127	19	corpora	corpora	NOUN
easat-10581	127	20	.	.	PUNCT
easat-10581	128	1	the	the	DET
easat-10581	128	2	first	first	ADJ
easat-10581	128	3	corpus	corpus	NOUN
easat-10581	128	4	(	(	PUNCT
easat-10581	128	5	corpus	corpus	NOUN
easat-10581	128	6	1	1	NUM
easat-10581	128	7	)	)	PUNCT
easat-10581	128	8	included	include	VERB
easat-10581	128	9	keywords	keyword	NOUN
easat-10581	128	10	and	and	CCONJ
easat-10581	128	11	expressions	expression	NOUN
easat-10581	128	12	in	in	ADP
easat-10581	128	13	albanian	albanian	PROPN
easat-10581	128	14	related	relate	VERB
easat-10581	128	15	to	to	ADP
easat-10581	128	16	accident	accident	NOUN
easat-10581	128	17	types	type	NOUN
easat-10581	128	18	,	,	PUNCT
easat-10581	128	19	consequences	consequence	NOUN
easat-10581	128	20	,	,	PUNCT
easat-10581	128	21	and	and	CCONJ
easat-10581	128	22	severity	severity	NOUN
easat-10581	128	23	(	(	PUNCT
easat-10581	128	24	e.g.	e.g.	ADV
easat-10581	128	25	,	,	PUNCT
easat-10581	128	26	“	"	PUNCT
easat-10581	128	27	aksident	aksident	ADJ
easat-10581	128	28	”	"	PUNCT
easat-10581	128	29	,	,	PUNCT
easat-10581	128	30	“	"	PUNCT
easat-10581	128	31	plagosje	plagosje	NOUN
easat-10581	128	32	”	"	PUNCT
easat-10581	128	33	,	,	PUNCT
easat-10581	128	34	“	"	PUNCT
easat-10581	128	35	vdekje	vdekje	NOUN
easat-10581	128	36	”	"	PUNCT
easat-10581	128	37	,	,	PUNCT
easat-10581	128	38	etc	etc	X
easat-10581	128	39	.	.	X
easat-10581	128	40	)	)	PUNCT
easat-10581	128	41	,	,	PUNCT
easat-10581	128	42	while	while	SCONJ
easat-10581	128	43	the	the	DET
easat-10581	128	44	second	second	ADJ
easat-10581	128	45	corpus	corpus	NOUN
easat-10581	128	46	(	(	PUNCT
easat-10581	128	47	corpus	corpus	NOUN
easat-10581	128	48	2	2	NUM
easat-10581	128	49	)	)	PUNCT
easat-10581	128	50	consisted	consist	VERB
easat-10581	128	51	of	of	ADP
easat-10581	128	52	all	all	DET
easat-10581	128	53	known	know	VERB
easat-10581	128	54	cities	city	NOUN
easat-10581	128	55	,	,	PUNCT
easat-10581	128	56	towns	town	NOUN
easat-10581	128	57	,	,	PUNCT
easat-10581	128	58	main	main	ADJ
easat-10581	128	59	villages	village	NOUN
easat-10581	128	60	,	,	PUNCT
easat-10581	128	61	and	and	CCONJ
easat-10581	128	62	roads	road	NOUN
easat-10581	128	63	of	of	ADP
easat-10581	128	64	albania	albania	PROPN
easat-10581	128	65	,	,	PUNCT
easat-10581	128	66	based	base	VERB
easat-10581	128	67	on	on	ADP
easat-10581	128	68	governmental	governmental	ADJ
easat-10581	128	69	administrative	administrative	ADJ
easat-10581	128	70	resources	resource	NOUN
easat-10581	128	71	.	.	PUNCT
easat-10581	129	1	both	both	DET
easat-10581	129	2	corpora	corpora	PROPN
easat-10581	129	3	provided	provide	VERB
easat-10581	129	4	significant	significant	ADJ
easat-10581	129	5	assistance	assistance	NOUN
easat-10581	129	6	for	for	ADP
easat-10581	129	7	semantic	semantic	ADJ
easat-10581	129	8	filtering	filtering	NOUN
easat-10581	129	9	and	and	CCONJ
easat-10581	129	10	geolocation	geolocation	NOUN
easat-10581	129	11	tagging	tagging	NOUN
easat-10581	129	12	.	.	PUNCT
easat-10581	130	1	a	a	DET
easat-10581	130	2	python	python	NOUN
easat-10581	130	3	script	script	NOUN
easat-10581	130	4	utilizing	utilize	VERB
easat-10581	130	5	these	these	DET
easat-10581	130	6	corpora	corpora	NOUN
easat-10581	130	7	processed	process	VERB
easat-10581	130	8	the	the	DET
easat-10581	130	9	large	large	ADJ
easat-10581	130	10	base	base	NOUN
easat-10581	130	11	of	of	ADP
easat-10581	130	12	news	news	NOUN
easat-10581	130	13	articles	article	NOUN
easat-10581	130	14	into	into	ADP
easat-10581	130	15	a	a	DET
easat-10581	130	16	filtered	filter	VERB
easat-10581	130	17	set	set	NOUN
easat-10581	130	18	of	of	ADP
easat-10581	130	19	2,286	2,286	NUM
easat-10581	130	20	articles	article	NOUN
easat-10581	130	21	related	relate	VERB
easat-10581	130	22	to	to	ADP
easat-10581	130	23	road	road	NOUN
easat-10581	130	24	accidents	accident	NOUN
easat-10581	130	25	.	.	PUNCT
easat-10581	131	1	the	the	DET
easat-10581	131	2	filtered	filter	VERB
easat-10581	131	3	database	database	NOUN
easat-10581	131	4	is	be	AUX
easat-10581	131	5	structured	structure	VERB
easat-10581	131	6	into	into	ADP
easat-10581	131	7	a	a	DET
easat-10581	131	8	tabular	tabular	ADJ
easat-10581	131	9	data	data	NOUN
easat-10581	131	10	frame	frame	NOUN
easat-10581	131	11	with	with	ADP
easat-10581	131	12	the	the	DET
easat-10581	131	13	following	follow	VERB
easat-10581	131	14	columns	column	NOUN
easat-10581	131	15	:	:	PUNCT
easat-10581	131	16	number	number	NOUN
easat-10581	131	17	,	,	PUNCT
easat-10581	131	18	date	date	NOUN
easat-10581	131	19	,	,	PUNCT
easat-10581	131	20	region	region	NOUN
easat-10581	131	21	,	,	PUNCT
easat-10581	131	22	location	location	NOUN
easat-10581	131	23	,	,	PUNCT
easat-10581	131	24	injured	injure	VERB
easat-10581	131	25	,	,	PUNCT
easat-10581	131	26	dead	dead	ADJ
easat-10581	131	27	,	,	PUNCT
easat-10581	131	28	number	number	NOUN
easat-10581	131	29	of	of	ADP
easat-10581	131	30	involved	involved	ADJ
easat-10581	131	31	vehicles	vehicle	NOUN
easat-10581	131	32	,	,	PUNCT
easat-10581	131	33	type	type	NOUN
easat-10581	131	34	of	of	ADP
easat-10581	131	35	road	road	NOUN
easat-10581	131	36	,	,	PUNCT
easat-10581	131	37	gender	gender	NOUN
easat-10581	131	38	,	,	PUNCT
easat-10581	131	39	cause	cause	NOUN
easat-10581	131	40	,	,	PUNCT
easat-10581	131	41	relevance	relevance	NOUN
easat-10581	131	42	score	score	NOUN
easat-10581	131	43	,	,	PUNCT
easat-10581	131	44	and	and	CCONJ
easat-10581	131	45	gravity	gravity	NOUN
easat-10581	131	46	of	of	ADP
easat-10581	131	47	the	the	DET
easat-10581	131	48	accident	accident	NOUN
easat-10581	131	49	.	.	PUNCT
easat-10581	132	1	in	in	ADP
easat-10581	132	2	addition	addition	NOUN
easat-10581	132	3	to	to	ADP
easat-10581	132	4	these	these	DET
easat-10581	132	5	natural	natural	ADJ
easat-10581	132	6	attributes	attribute	NOUN
easat-10581	132	7	,	,	PUNCT
easat-10581	132	8	an	an	DET
easat-10581	132	9	extra	extra	ADJ
easat-10581	132	10	attribute	attribute	NOUN
easat-10581	132	11	was	be	AUX
easat-10581	132	12	added	add	VERB
easat-10581	132	13	to	to	PART
easat-10581	132	14	express	express	VERB
easat-10581	132	15	the	the	DET
easat-10581	132	16	relevance	relevance	NOUN
easat-10581	132	17	score	score	NOUN
easat-10581	132	18	of	of	ADP
easat-10581	132	19	each	each	DET
easat-10581	132	20	article	article	NOUN
easat-10581	132	21	.	.	PUNCT
easat-10581	133	1	this	this	DET
easat-10581	133	2	score	score	NOUN
easat-10581	133	3	is	be	AUX
easat-10581	133	4	calculated	calculate	VERB
easat-10581	133	5	during	during	ADP
easat-10581	133	6	the	the	DET
easat-10581	133	7	third	third	ADJ
easat-10581	133	8	step	step	NOUN
easat-10581	133	9	of	of	ADP
easat-10581	133	10	preprocessing	preprocessing	NOUN
easat-10581	133	11	.	.	PUNCT
easat-10581	134	1	the	the	DET
easat-10581	134	2	type	type	NOUN
easat-10581	134	3	of	of	ADP
easat-10581	134	4	road	road	NOUN
easat-10581	134	5	is	be	AUX
easat-10581	134	6	a	a	DET
easat-10581	134	7	categorical	categorical	ADJ
easat-10581	134	8	attribute	attribute	NOUN
easat-10581	134	9	with	with	ADP
easat-10581	134	10	the	the	DET
easat-10581	134	11	following	following	ADJ
easat-10581	134	12	possible	possible	ADJ
easat-10581	134	13	values	value	NOUN
easat-10581	134	14	:	:	PUNCT
easat-10581	134	15	highway	highway	NOUN
easat-10581	134	16	,	,	PUNCT
easat-10581	134	17	interurban	interurban	NOUN
easat-10581	134	18	,	,	PUNCT
easat-10581	134	19	urban	urban	ADJ
easat-10581	134	20	,	,	PUNCT
easat-10581	134	21	and	and	CCONJ
easat-10581	134	22	rural	rural	ADJ
easat-10581	134	23	.	.	PUNCT
easat-10581	135	1	the	the	DET
easat-10581	135	2	primary	primary	ADJ
easat-10581	135	3	cause	cause	NOUN
easat-10581	135	4	of	of	ADP
easat-10581	135	5	each	each	DET
easat-10581	135	6	accident	accident	NOUN
easat-10581	135	7	is	be	AUX
easat-10581	135	8	assessed	assess	VERB
easat-10581	135	9	based	base	VERB
easat-10581	135	10	on	on	ADP
easat-10581	135	11	text	text	NOUN
easat-10581	135	12	processing	processing	NOUN
easat-10581	135	13	of	of	ADP
easat-10581	135	14	the	the	DET
easat-10581	135	15	news	news	NOUN
easat-10581	135	16	article	article	NOUN
easat-10581	135	17	contents	content	NOUN
easat-10581	135	18	,	,	PUNCT
easat-10581	135	19	aiming	aim	VERB
easat-10581	135	20	to	to	PART
easat-10581	135	21	classify	classify	VERB
easat-10581	135	22	it	it	PRON
easat-10581	135	23	into	into	ADP
easat-10581	135	24	one	one	NUM
easat-10581	135	25	of	of	ADP
easat-10581	135	26	the	the	DET
easat-10581	135	27	predefined	predefine	VERB
easat-10581	135	28	causes	cause	NOUN
easat-10581	135	29	:	:	PUNCT
easat-10581	135	30	careless	careless	ADJ
easat-10581	135	31	driving	driving	NOUN
easat-10581	135	32	,	,	PUNCT
easat-10581	135	33	atmospheric	atmospheric	ADJ
easat-10581	135	34	conditions	condition	NOUN
easat-10581	135	35	,	,	PUNCT
easat-10581	135	36	driving	drive	VERB
easat-10581	135	37	under	under	ADP
easat-10581	135	38	the	the	DET
easat-10581	135	39	influence	influence	NOUN
easat-10581	135	40	,	,	PUNCT
easat-10581	135	41	wrong	wrong	ADJ
easat-10581	135	42	overtaking	overtaking	NOUN
easat-10581	135	43	,	,	PUNCT
easat-10581	135	44	speeding	speed	VERB
easat-10581	135	45	,	,	PUNCT
easat-10581	135	46	running	run	VERB
easat-10581	135	47	a	a	DET
easat-10581	135	48	red	red	ADJ
easat-10581	135	49	traffic	traffic	NOUN
easat-10581	135	50	light	light	NOUN
easat-10581	135	51	,	,	PUNCT
easat-10581	135	52	or	or	CCONJ
easat-10581	135	53	vehicle	vehicle	NOUN
easat-10581	135	54	malfunctioning	malfunctioning	NOUN
easat-10581	135	55	.	.	PUNCT
easat-10581	136	1	the	the	DET
easat-10581	136	2	gender	gender	NOUN
easat-10581	136	3	of	of	ADP
easat-10581	136	4	the	the	DET
easat-10581	136	5	person	person	NOUN
easat-10581	136	6	causing	cause	VERB
easat-10581	136	7	the	the	DET
easat-10581	136	8	accident	accident	NOUN
easat-10581	136	9	has	have	AUX
easat-10581	136	10	been	be	AUX
easat-10581	136	11	extracted	extract	VERB
easat-10581	136	12	through	through	ADP
easat-10581	136	13	text	text	NOUN
easat-10581	136	14	processing	processing	NOUN
easat-10581	136	15	,	,	PUNCT
easat-10581	136	16	with	with	ADP
easat-10581	136	17	values	value	NOUN
easat-10581	136	18	m	m	VERB
easat-10581	136	19	(	(	PUNCT
easat-10581	136	20	male	male	NOUN
easat-10581	136	21	)	)	PUNCT
easat-10581	136	22	,	,	PUNCT
easat-10581	136	23	f	f	PROPN
easat-10581	136	24	(	(	PUNCT
easat-10581	136	25	female	female	NOUN
easat-10581	136	26	)	)	PUNCT
easat-10581	136	27	,	,	PUNCT
easat-10581	136	28	or	or	CCONJ
easat-10581	136	29	n	n	CCONJ
easat-10581	136	30	/	/	SYM
easat-10581	136	31	a	a	PRON
easat-10581	136	32	(	(	PUNCT
easat-10581	136	33	not	not	PART
easat-10581	136	34	determined	determine	VERB
easat-10581	136	35	by	by	ADP
easat-10581	136	36	the	the	DET
easat-10581	136	37	contents	content	NOUN
easat-10581	136	38	of	of	ADP
easat-10581	136	39	the	the	DET
easat-10581	136	40	article	article	NOUN
easat-10581	136	41	)	)	PUNCT
easat-10581	136	42	.	.	PUNCT
easat-10581	137	1	gravity	gravity	NOUN
easat-10581	137	2	ranges	range	VERB
easat-10581	137	3	from	from	ADP
easat-10581	137	4	1	1	NUM
easat-10581	137	5	(	(	PUNCT
easat-10581	137	6	light	light	NOUN
easat-10581	137	7	)	)	PUNCT
easat-10581	137	8	to	to	ADP
easat-10581	137	9	8	8	NUM
easat-10581	137	10	(	(	PUNCT
easat-10581	137	11	severe	severe	ADJ
easat-10581	137	12	)	)	PUNCT
easat-10581	137	13	,	,	PUNCT
easat-10581	137	14	according	accord	VERB
easat-10581	137	15	to	to	ADP
easat-10581	137	16	the	the	DET
easat-10581	137	17	number	number	NOUN
easat-10581	137	18	of	of	ADP
easat-10581	137	19	people	people	NOUN
easat-10581	137	20	and	and	CCONJ
easat-10581	137	21	vehicles	vehicle	NOUN
easat-10581	137	22	involved	involve	VERB
easat-10581	137	23	in	in	ADP
easat-10581	137	24	the	the	DET
easat-10581	137	25	accident	accident	NOUN
easat-10581	137	26	and	and	CCONJ
easat-10581	137	27	the	the	DET
easat-10581	137	28	number	number	NOUN
easat-10581	137	29	of	of	ADP
easat-10581	137	30	casualties	casualty	NOUN
easat-10581	137	31	and	and	CCONJ
easat-10581	137	32	injuries	injury	NOUN
easat-10581	137	33	resulting	result	VERB
easat-10581	137	34	from	from	ADP
easat-10581	137	35	it	it	PRON
easat-10581	137	36	.	.	PUNCT
easat-10581	138	1	step	step	NOUN
easat-10581	138	2	3	3	NUM
easat-10581	138	3	:	:	PUNCT
easat-10581	138	4	a	a	DET
easat-10581	138	5	further	further	ADJ
easat-10581	138	6	preprocessing	preprocessing	NOUN
easat-10581	138	7	step	step	NOUN
easat-10581	138	8	is	be	AUX
easat-10581	138	9	applied	apply	VERB
easat-10581	138	10	to	to	PART
easat-10581	138	11	merge	merge	VERB
easat-10581	138	12	the	the	DET
easat-10581	138	13	articles	article	NOUN
easat-10581	138	14	referring	refer	VERB
easat-10581	138	15	to	to	ADP
easat-10581	138	16	the	the	DET
easat-10581	138	17	same	same	ADJ
easat-10581	138	18	accident	accident	NOUN
easat-10581	138	19	.	.	PUNCT
easat-10581	139	1	during	during	ADP
easat-10581	139	2	this	this	DET
easat-10581	139	3	stage	stage	NOUN
easat-10581	139	4	,	,	PUNCT
easat-10581	139	5	a	a	DET
easat-10581	139	6	relevance	relevance	NOUN
easat-10581	139	7	score	score	NOUN
easat-10581	139	8	is	be	AUX
easat-10581	139	9	evaluated	evaluate	VERB
easat-10581	139	10	for	for	ADP
easat-10581	139	11	each	each	DET
easat-10581	139	12	accident	accident	NOUN
easat-10581	139	13	according	accord	VERB
easat-10581	139	14	to	to	ADP
easat-10581	139	15	the	the	DET
easat-10581	139	16	number	number	NOUN
easat-10581	139	17	of	of	ADP
easat-10581	139	18	news	news	NOUN
easat-10581	139	19	resources	resource	NOUN
easat-10581	139	20	referring	refer	VERB
easat-10581	139	21	to	to	ADP
easat-10581	139	22	it	it	PRON
easat-10581	139	23	and	and	CCONJ
easat-10581	139	24	the	the	DET
easat-10581	139	25	matches	match	NOUN
easat-10581	139	26	among	among	ADP
easat-10581	139	27	these	these	DET
easat-10581	139	28	accidents	accident	NOUN
easat-10581	139	29	.	.	PUNCT
easat-10581	140	1	furthermore	furthermore	ADV
easat-10581	140	2	,	,	PUNCT
easat-10581	140	3	refinement	refinement	NOUN
easat-10581	140	4	is	be	AUX
easat-10581	140	5	applied	apply	VERB
easat-10581	140	6	to	to	ADP
easat-10581	140	7	mismatching	mismatching	ADJ
easat-10581	140	8	data	datum	NOUN
easat-10581	140	9	,	,	PUNCT
easat-10581	140	10	using	use	VERB
easat-10581	140	11	a	a	DET
easat-10581	140	12	weighted	weight	VERB
easat-10581	140	13	majority	majority	NOUN
easat-10581	140	14	vote	vote	NOUN
easat-10581	140	15	according	accord	VERB
easat-10581	140	16	to	to	ADP
easat-10581	140	17	the	the	DET
easat-10581	140	18	credibility	credibility	NOUN
easat-10581	140	19	score	score	NOUN
easat-10581	140	20	of	of	ADP
easat-10581	140	21	the	the	DET
easat-10581	140	22	news	news	NOUN
easat-10581	140	23	portals	portal	NOUN
easat-10581	140	24	.	.	PUNCT
easat-10581	141	1	the	the	DET
easat-10581	141	2	credibility	credibility	NOUN
easat-10581	141	3	score	score	NOUN
easat-10581	141	4	was	be	AUX
easat-10581	141	5	manually	manually	ADV
easat-10581	141	6	assigned	assign	VERB
easat-10581	141	7	,	,	PUNCT
easat-10581	141	8	varying	vary	VERB
easat-10581	141	9	from	from	ADP
easat-10581	141	10	5	5	NUM
easat-10581	141	11	(	(	PUNCT
easat-10581	141	12	very	very	ADV
easat-10581	141	13	well	well	ADV
easat-10581	141	14	known	know	VERB
easat-10581	141	15	)	)	PUNCT
easat-10581	141	16	to	to	ADP
easat-10581	141	17	1	1	NUM
easat-10581	141	18	(	(	PUNCT
easat-10581	141	19	less	less	ADV
easat-10581	141	20	known	known	ADJ
easat-10581	141	21	)	)	PUNCT
easat-10581	141	22	portals	portal	NOUN
easat-10581	141	23	.	.	PUNCT
easat-10581	142	1	step	step	NOUN
easat-10581	142	2	4	4	NUM
easat-10581	142	3	:	:	PUNCT
easat-10581	142	4	after	after	ADP
easat-10581	142	5	the	the	DET
easat-10581	142	6	application	application	NOUN
easat-10581	142	7	of	of	ADP
easat-10581	142	8	the	the	DET
easat-10581	142	9	four	four	NUM
easat-10581	142	10	aforementioned	aforementioned	ADJ
easat-10581	142	11	preprocessing	preprocessing	NOUN
easat-10581	142	12	stages	stage	NOUN
easat-10581	142	13	,	,	PUNCT
easat-10581	142	14	which	which	PRON
easat-10581	142	15	operate	operate	VERB
easat-10581	142	16	in	in	ADP
easat-10581	142	17	an	an	DET
easat-10581	142	18	automated	automate	VERB
easat-10581	142	19	way	way	NOUN
easat-10581	142	20	,	,	PUNCT
easat-10581	142	21	a	a	DET
easat-10581	142	22	final	final	ADJ
easat-10581	142	23	stage	stage	NOUN
easat-10581	142	24	of	of	ADP
easat-10581	142	25	preprocessing	preprocessing	NOUN
easat-10581	142	26	is	be	AUX
easat-10581	142	27	conducted	conduct	VERB
easat-10581	142	28	,	,	PUNCT
easat-10581	142	29	consisting	consist	VERB
easat-10581	142	30	of	of	ADP
easat-10581	142	31	manual	manual	ADJ
easat-10581	142	32	control	control	NOUN
easat-10581	142	33	and	and	CCONJ
easat-10581	142	34	refinement	refinement	NOUN
easat-10581	142	35	of	of	ADP
easat-10581	142	36	the	the	DET
easat-10581	142	37	obtained	obtain	VERB
easat-10581	142	38	dataset	dataset	NOUN
easat-10581	142	39	.	.	PUNCT
easat-10581	143	1	the	the	DET
easat-10581	143	2	control	control	NOUN
easat-10581	143	3	was	be	AUX
easat-10581	143	4	primarily	primarily	ADV
easat-10581	143	5	performed	perform	VERB
easat-10581	143	6	on	on	ADP
easat-10581	143	7	data	datum	NOUN
easat-10581	143	8	where	where	SCONJ
easat-10581	143	9	mismatches	mismatch	NOUN
easat-10581	143	10	occurred	occur	VERB
easat-10581	143	11	to	to	PART
easat-10581	143	12	confirm	confirm	VERB
easat-10581	143	13	that	that	SCONJ
easat-10581	143	14	the	the	DET
easat-10581	143	15	algorithm	algorithm	NOUN
easat-10581	143	16	based	base	VERB
easat-10581	143	17	on	on	ADP
easat-10581	143	18	the	the	DET
easat-10581	143	19	majority	majority	NOUN
easat-10581	143	20	vote	vote	NOUN
easat-10581	143	21	score	score	NOUN
easat-10581	143	22	properly	properly	ADV
easat-10581	143	23	selected	select	VERB
easat-10581	143	24	the	the	DET
easat-10581	143	25	most	most	ADV
easat-10581	143	26	reliable	reliable	ADJ
easat-10581	143	27	version	version	NOUN
easat-10581	143	28	of	of	ADP
easat-10581	143	29	the	the	DET
easat-10581	143	30	attributes	attribute	NOUN
easat-10581	143	31	.	.	PUNCT
easat-10581	144	1	furthermore	furthermore	ADV
easat-10581	144	2	,	,	PUNCT
easat-10581	144	3	the	the	DET
easat-10581	144	4	dataset	dataset	NOUN
easat-10581	144	5	was	be	AUX
easat-10581	144	6	refined	refine	VERB
easat-10581	144	7	to	to	PART
easat-10581	144	8	fill	fill	VERB
easat-10581	144	9	some	some	DET
easat-10581	144	10	cases	case	NOUN
easat-10581	144	11	of	of	ADP
easat-10581	144	12	missing	miss	VERB
easat-10581	144	13	values	value	NOUN
easat-10581	144	14	via	via	ADP
easat-10581	144	15	brief	brief	ADJ
easat-10581	144	16	human	human	ADJ
easat-10581	144	17	inspection	inspection	NOUN
easat-10581	144	18	of	of	ADP
easat-10581	144	19	the	the	DET
easat-10581	144	20	source	source	NOUN
easat-10581	144	21	news	news	NOUN
easat-10581	144	22	articles	article	NOUN
easat-10581	144	23	.	.	PUNCT
easat-10581	145	1	in	in	ADP
easat-10581	145	2	summary	summary	NOUN
easat-10581	145	3	,	,	PUNCT
easat-10581	145	4	a	a	DET
easat-10581	145	5	set	set	NOUN
easat-10581	145	6	of	of	ADP
easat-10581	145	7	1854	1854	NUM
easat-10581	145	8	instances	instance	NOUN
easat-10581	145	9	was	be	AUX
easat-10581	145	10	obtained	obtain	VERB
easat-10581	145	11	at	at	ADP
easat-10581	145	12	the	the	DET
easat-10581	145	13	end	end	NOUN
easat-10581	145	14	of	of	ADP
easat-10581	145	15	the	the	DET
easat-10581	145	16	third	third	ADJ
easat-10581	145	17	stage	stage	NOUN
easat-10581	145	18	,	,	PUNCT
easat-10581	145	19	containing	contain	VERB
easat-10581	145	20	183	183	NUM
easat-10581	145	21	articles	article	NOUN
easat-10581	145	22	where	where	SCONJ
easat-10581	145	23	mismatching	mismatching	PROPN
easat-10581	145	24	data	datum	NOUN
easat-10581	145	25	occurred	occur	VERB
easat-10581	145	26	.	.	PUNCT
easat-10581	146	1	manual	manual	ADJ
easat-10581	146	2	inspection	inspection	NOUN
easat-10581	146	3	identified	identify	VERB
easat-10581	146	4	34	34	NUM
easat-10581	146	5	of	of	ADP
easat-10581	146	6	these	these	DET
easat-10581	146	7	articles	article	NOUN
easat-10581	146	8	.	.	PUNCT
easat-10581	147	1	furthermore	furthermore	ADV
easat-10581	147	2	,	,	PUNCT
easat-10581	147	3	there	there	PRON
easat-10581	147	4	were	be	VERB
easat-10581	147	5	124	124	NUM
easat-10581	147	6	cases	case	NOUN
easat-10581	147	7	of	of	ADP
easat-10581	147	8	missing	miss	VERB
easat-10581	147	9	values	value	NOUN
easat-10581	147	10	in	in	ADP
easat-10581	147	11	the	the	DET
easat-10581	147	12	dataset	dataset	NOUN
easat-10581	147	13	,	,	PUNCT
easat-10581	147	14	40	40	NUM
easat-10581	147	15	of	of	ADP
easat-10581	147	16	which	which	PRON
easat-10581	147	17	were	be	AUX
easat-10581	147	18	manually	manually	ADV
easat-10581	147	19	inspected	inspect	VERB
easat-10581	147	20	.	.	PUNCT
easat-10581	148	1	figure	figure	NOUN
easat-10581	148	2	1	1	NUM
easat-10581	148	3	schematically	schematically	NOUN
easat-10581	148	4	illustrates	illustrate	VERB
easat-10581	148	5	the	the	DET
easat-10581	148	6	workflow	workflow	NOUN
easat-10581	148	7	of	of	ADP
easat-10581	148	8	the	the	DET
easat-10581	148	9	steps	step	NOUN
easat-10581	148	10	described	describe	VERB
easat-10581	148	11	above	above	ADV
easat-10581	148	12	to	to	PART
easat-10581	148	13	obtain	obtain	VERB
easat-10581	148	14	the	the	DET
easat-10581	148	15	final	final	ADJ
easat-10581	148	16	dataset	dataset	NOUN
easat-10581	148	17	related	relate	VERB
easat-10581	148	18	to	to	ADP
easat-10581	148	19	road	road	NOUN
easat-10581	148	20	accidents	accident	NOUN
easat-10581	148	21	in	in	ADP
easat-10581	148	22	the	the	DET
easat-10581	148	23	state	state	NOUN
easat-10581	148	24	of	of	ADP
easat-10581	148	25	albania	albania	PROPN
easat-10581	148	26	.	.	PUNCT
easat-10581	149	1	the	the	DET
easat-10581	149	2	program	program	NOUN
easat-10581	149	3	for	for	ADP
easat-10581	149	4	web	web	NOUN
easat-10581	149	5	scraping	scraping	NOUN
easat-10581	149	6	,	,	PUNCT
easat-10581	149	7	which	which	PRON
easat-10581	149	8	reads	read	VERB
easat-10581	149	9	articles	article	NOUN
easat-10581	149	10	from	from	ADP
easat-10581	149	11	online	online	ADJ
easat-10581	149	12	portals	portal	NOUN
easat-10581	149	13	and	and	CCONJ
easat-10581	149	14	stores	store	VERB
easat-10581	149	15	them	they	PRON
easat-10581	149	16	in	in	ADP
easat-10581	149	17	the	the	DET
easat-10581	149	18	large	large	ADJ
easat-10581	149	19	csv	csv	NOUN
easat-10581	149	20	articles	article	NOUN
easat-10581	149	21	database	database	NOUN
easat-10581	149	22	file	file	NOUN
easat-10581	149	23	,	,	PUNCT
easat-10581	149	24	is	be	AUX
easat-10581	149	25	executed	execute	VERB
easat-10581	149	26	initially	initially	ADV
easat-10581	149	27	.	.	PUNCT
easat-10581	150	1	the	the	DET
easat-10581	150	2	script	script	NOUN
easat-10581	150	3	then	then	ADV
easat-10581	150	4	reads	read	VERB
easat-10581	150	5	all	all	DET
easat-10581	150	6	articles	article	NOUN
easat-10581	150	7	from	from	ADP
easat-10581	150	8	the	the	DET
easat-10581	150	9	large	large	ADJ
easat-10581	150	10	csv	csv	NOUN
easat-10581	150	11	article	article	NOUN
easat-10581	150	12	database	database	NOUN
easat-10581	150	13	file	file	NOUN
easat-10581	150	14	,	,	PUNCT
easat-10581	150	15	filters	filter	VERB
easat-10581	150	16	those	those	PRON
easat-10581	150	17	related	relate	VERB
easat-10581	150	18	to	to	ADP
easat-10581	150	19	road	road	NOUN
easat-10581	150	20	accidents	accident	NOUN
easat-10581	150	21	within	within	ADP
easat-10581	150	22	the	the	DET
easat-10581	150	23	state	state	NOUN
easat-10581	150	24	of	of	ADP
easat-10581	150	25	albania	albania	PROPN
easat-10581	150	26	,	,	PUNCT
easat-10581	150	27	and	and	CCONJ
easat-10581	150	28	stores	store	VERB
easat-10581	150	29	them	they	PRON
easat-10581	150	30	in	in	ADP
easat-10581	150	31	another	another	DET
easat-10581	150	32	csv	csv	NOUN
easat-10581	150	33	file	file	NOUN
easat-10581	150	34	named	name	VERB
easat-10581	150	35	accidents	accident	NOUN
easat-10581	150	36	raw	raw	ADJ
easat-10581	150	37	.	.	PUNCT
easat-10581	151	1	the	the	DET
easat-10581	151	2	script	script	NOUN
easat-10581	151	3	was	be	AUX
easat-10581	151	4	trained	train	VERB
easat-10581	151	5	with	with	ADP
easat-10581	151	6	albanian	albanian	ADJ
easat-10581	151	7	language	language	NOUN
easat-10581	151	8	data	datum	NOUN
easat-10581	151	9	from	from	ADP
easat-10581	151	10	the	the	DET
easat-10581	151	11	corpus1	corpus1	NOUN
easat-10581	151	12	and	and	CCONJ
easat-10581	151	13	corpus2	corpus2	NOUN
easat-10581	151	14	files	file	NOUN
easat-10581	151	15	(	(	PUNCT
easat-10581	151	16	which	which	PRON
easat-10581	151	17	were	be	AUX
easat-10581	151	18	described	describe	VERB
easat-10581	151	19	above	above	ADP
easat-10581	151	20	)	)	PUNCT
easat-10581	151	21	.	.	PUNCT
easat-10581	152	1	997	997	NUM
easat-10581	152	2	edelweiss	edelweiss	PROPN
easat-10581	152	3	applied	apply	VERB
easat-10581	152	4	science	science	NOUN
easat-10581	152	5	and	and	CCONJ
easat-10581	152	6	technology	technology	NOUN
easat-10581	152	7	issn	issn	PROPN
easat-10581	152	8	:	:	PUNCT
easat-10581	152	9	2576	2576	NUM
easat-10581	152	10	-	-	SYM
easat-10581	152	11	8484	8484	NUM
easat-10581	152	12	vol	vol	NOUN
easat-10581	152	13	.	.	PROPN
easat-10581	153	1	9	9	NUM
easat-10581	153	2	,	,	PUNCT
easat-10581	153	3	no	no	INTJ
easat-10581	153	4	.	.	NOUN
easat-10581	153	5	10	10	NUM
easat-10581	153	6	:	:	PUNCT
easat-10581	153	7	992	992	NUM
easat-10581	153	8	-	-	SYM
easat-10581	153	9	1004	1004	NUM
easat-10581	153	10	,	,	PUNCT
easat-10581	153	11	2025	2025	NUM
easat-10581	153	12	doi	doi	NOUN
easat-10581	153	13	:	:	PUNCT
easat-10581	153	14	10.55214/2576	10.55214/2576	NUM
easat-10581	153	15	-	-	SYM
easat-10581	153	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	153	17	©	©	ADP
easat-10581	153	18	2025	2025	NUM
easat-10581	153	19	by	by	ADP
easat-10581	153	20	the	the	DET
easat-10581	153	21	authors	author	NOUN
easat-10581	153	22	;	;	PUNCT
easat-10581	153	23	licensee	licensee	PROPN
easat-10581	153	24	learning	learn	VERB
easat-10581	153	25	gate	gate	NOUN
easat-10581	153	26	figure	figure	NOUN
easat-10581	153	27	1	1	NUM
easat-10581	153	28	.	.	PUNCT
easat-10581	153	29	application	application	NOUN
easat-10581	153	30	model	model	NOUN
easat-10581	153	31	for	for	ADP
easat-10581	153	32	data	data	NOUN
easat-10581	153	33	preprocessing	preprocessing	NOUN
easat-10581	153	34	.	.	PUNCT
easat-10581	154	1	after	after	ADP
easat-10581	154	2	preprocessing	preprocesse	VERB
easat-10581	154	3	,	,	PUNCT
easat-10581	154	4	the	the	DET
easat-10581	154	5	data	data	NOUN
easat-10581	154	6	contains	contain	VERB
easat-10581	154	7	11	11	NUM
easat-10581	154	8	features	feature	NOUN
easat-10581	154	9	,	,	PUNCT
easat-10581	154	10	namely	namely	ADV
easat-10581	154	11	,	,	PUNCT
easat-10581	154	12	number	number	NOUN
easat-10581	154	13	,	,	PUNCT
easat-10581	154	14	date	date	NOUN
easat-10581	154	15	,	,	PUNCT
easat-10581	154	16	region	region	NOUN
easat-10581	154	17	,	,	PUNCT
easat-10581	154	18	address	address	NOUN
easat-10581	154	19	,	,	PUNCT
easat-10581	154	20	type	type	NOUN
easat-10581	154	21	of	of	ADP
easat-10581	154	22	road	road	NOUN
easat-10581	154	23	,	,	PUNCT
easat-10581	154	24	age	age	NOUN
easat-10581	154	25	,	,	PUNCT
easat-10581	154	26	gender	gender	NOUN
easat-10581	154	27	,	,	PUNCT
easat-10581	154	28	cause	cause	NOUN
easat-10581	154	29	,	,	PUNCT
easat-10581	154	30	relevance	relevance	NOUN
easat-10581	154	31	score	score	NOUN
easat-10581	154	32	,	,	PUNCT
easat-10581	154	33	and	and	CCONJ
easat-10581	154	34	gravity	gravity	NOUN
easat-10581	154	35	.	.	PUNCT
easat-10581	155	1	more	more	ADV
easat-10581	155	2	detailed	detailed	ADJ
easat-10581	155	3	descriptions	description	NOUN
easat-10581	155	4	of	of	ADP
easat-10581	155	5	these	these	DET
easat-10581	155	6	fields	field	NOUN
easat-10581	155	7	are	be	AUX
easat-10581	155	8	presented	present	VERB
easat-10581	155	9	in	in	ADP
easat-10581	155	10	table	table	NOUN
easat-10581	155	11	1	1	NUM
easat-10581	155	12	.	.	PUNCT
easat-10581	156	1	these	these	DET
easat-10581	156	2	data	datum	NOUN
easat-10581	156	3	served	serve	VERB
easat-10581	156	4	as	as	ADP
easat-10581	156	5	the	the	DET
easat-10581	156	6	input	input	NOUN
easat-10581	156	7	for	for	ADP
easat-10581	156	8	the	the	DET
easat-10581	156	9	classification	classification	NOUN
easat-10581	156	10	models	model	NOUN
easat-10581	156	11	.	.	PUNCT
easat-10581	157	1	table	table	NOUN
easat-10581	157	2	1	1	NUM
easat-10581	157	3	.	.	PUNCT
easat-10581	157	4	features	feature	NOUN
easat-10581	157	5	after	after	ADP
easat-10581	157	6	the	the	DET
easat-10581	157	7	preprocessing	preprocessing	NOUN
easat-10581	157	8	stage	stage	NOUN
easat-10581	157	9	.	.	PUNCT
easat-10581	158	1	feature	feature	NOUN
easat-10581	158	2	description	description	NOUN
easat-10581	158	3	range	range	NOUN
easat-10581	158	4	date	date	NOUN
easat-10581	158	5	the	the	DET
easat-10581	158	6	date	date	NOUN
easat-10581	158	7	of	of	ADP
easat-10581	158	8	the	the	DET
easat-10581	158	9	publication	publication	NOUN
easat-10581	158	10	of	of	ADP
easat-10581	158	11	the	the	DET
easat-10581	158	12	road	road	NOUN
easat-10581	158	13	accident	accident	NOUN
easat-10581	158	14	01/01/2022	01/01/2022	NOUN
easat-10581	158	15	–	–	PUNCT
easat-10581	158	16	31/12/2023	31/12/2023	NUM
easat-10581	158	17	region	region	NOUN
easat-10581	158	18	the	the	DET
easat-10581	158	19	region	region	NOUN
easat-10581	158	20	of	of	ADP
easat-10581	158	21	the	the	DET
easat-10581	158	22	road	road	NOUN
easat-10581	158	23	accident	accident	NOUN
easat-10581	158	24	albanian	albanian	ADJ
easat-10581	158	25	regions	region	NOUN
easat-10581	158	26	location	location	VERB
easat-10581	158	27	an	an	DET
easat-10581	158	28	approximate	approximate	ADJ
easat-10581	158	29	description	description	NOUN
easat-10581	158	30	of	of	ADP
easat-10581	158	31	the	the	DET
easat-10581	158	32	address	address	NOUN
easat-10581	158	33	albanian	albanian	ADJ
easat-10581	158	34	locations	location	NOUN
easat-10581	158	35	according	accord	VERB
easat-10581	158	36	to	to	ADP
easat-10581	158	37	corpus2	corpus2	NOUN
easat-10581	158	38	injured	injure	VERB
easat-10581	158	39	the	the	DET
easat-10581	158	40	number	number	NOUN
easat-10581	158	41	of	of	ADP
easat-10581	158	42	injured	injure	VERB
easat-10581	158	43	persons	person	NOUN
easat-10581	158	44	in	in	ADP
easat-10581	158	45	the	the	DET
easat-10581	158	46	accident	accident	NOUN
easat-10581	158	47	nonnegative	nonnegative	ADJ
easat-10581	158	48	integer	integer	NOUN
easat-10581	158	49	dead	dead	VERB
easat-10581	158	50	the	the	DET
easat-10581	158	51	number	number	NOUN
easat-10581	158	52	of	of	ADP
easat-10581	158	53	deceased	deceased	ADJ
easat-10581	158	54	persons	person	NOUN
easat-10581	158	55	in	in	ADP
easat-10581	158	56	the	the	DET
easat-10581	158	57	accident	accident	NOUN
easat-10581	158	58	nonnegative	nonnegative	ADJ
easat-10581	158	59	integer	integer	NOUN
easat-10581	158	60	cars	car	NOUN
easat-10581	158	61	involved	involve	VERB
easat-10581	158	62	the	the	DET
easat-10581	158	63	number	number	NOUN
easat-10581	158	64	of	of	ADP
easat-10581	158	65	vehicles	vehicle	NOUN
easat-10581	158	66	involved	involve	VERB
easat-10581	158	67	in	in	ADP
easat-10581	158	68	the	the	DET
easat-10581	158	69	accident	accident	NOUN
easat-10581	158	70	nonnegative	nonnegative	ADJ
easat-10581	158	71	integer	integer	NOUN
easat-10581	158	72	type	type	NOUN
easat-10581	158	73	of	of	ADP
easat-10581	158	74	road	road	NOUN
easat-10581	158	75	types	type	NOUN
easat-10581	158	76	of	of	ADP
easat-10581	158	77	roads	road	NOUN
easat-10581	158	78	in	in	ADP
easat-10581	158	79	the	the	DET
easat-10581	158	80	albanian	albanian	ADJ
easat-10581	158	81	state	state	NOUN
easat-10581	158	82	interurban	interurban	PROPN
easat-10581	158	83	,	,	PUNCT
easat-10581	158	84	urban	urban	ADJ
easat-10581	158	85	,	,	PUNCT
easat-10581	158	86	rural	rural	ADJ
easat-10581	158	87	,	,	PUNCT
easat-10581	158	88	highway	highway	NOUN
easat-10581	158	89	cause	cause	VERB
easat-10581	158	90	categorizing	categorize	VERB
easat-10581	158	91	the	the	DET
easat-10581	158	92	cause	cause	NOUN
easat-10581	158	93	into	into	ADP
easat-10581	158	94	one	one	NUM
easat-10581	158	95	of	of	ADP
easat-10581	158	96	the	the	DET
easat-10581	158	97	7	7	NUM
easat-10581	158	98	foreseen	foreseen	ADJ
easat-10581	158	99	categories	category	NOUN
easat-10581	158	100	(	(	PUNCT
easat-10581	158	101	as	as	SCONJ
easat-10581	158	102	given	give	VERB
easat-10581	158	103	in	in	ADP
easat-10581	158	104	the	the	DET
easat-10581	158	105	range	range	NOUN
easat-10581	158	106	column	column	NOUN
easat-10581	158	107	)	)	PUNCT
easat-10581	158	108	careless	careless	ADJ
easat-10581	158	109	driving	driving	NOUN
easat-10581	158	110	,	,	PUNCT
easat-10581	158	111	atmospheric	atmospheric	ADJ
easat-10581	158	112	conditions	condition	NOUN
easat-10581	158	113	,	,	PUNCT
easat-10581	158	114	driving	drive	VERB
easat-10581	158	115	under	under	ADP
easat-10581	158	116	the	the	DET
easat-10581	158	117	influence	influence	NOUN
easat-10581	158	118	,	,	PUNCT
easat-10581	158	119	wrong	wrong	ADJ
easat-10581	158	120	overtaking	overtaking	NOUN
easat-10581	158	121	,	,	PUNCT
easat-10581	158	122	speeding	speed	VERB
easat-10581	158	123	,	,	PUNCT
easat-10581	158	124	running	run	VERB
easat-10581	158	125	through	through	ADP
easat-10581	158	126	a	a	DET
easat-10581	158	127	red	red	ADJ
easat-10581	158	128	traffic	traffic	NOUN
easat-10581	158	129	light	light	NOUN
easat-10581	158	130	,	,	PUNCT
easat-10581	158	131	or	or	CCONJ
easat-10581	158	132	vehicle	vehicle	NOUN
easat-10581	158	133	malfunctioning	malfunctioning	NOUN
easat-10581	158	134	.	.	PUNCT
easat-10581	159	1	gender	gender	NOUN
easat-10581	159	2	the	the	DET
easat-10581	159	3	gender	gender	NOUN
easat-10581	159	4	of	of	ADP
easat-10581	159	5	the	the	DET
easat-10581	159	6	person	person	NOUN
easat-10581	159	7	causing	cause	VERB
easat-10581	159	8	the	the	DET
easat-10581	159	9	accident	accident	NOUN
easat-10581	159	10	m	m	NOUN
easat-10581	159	11	,	,	PUNCT
easat-10581	159	12	f	f	PROPN
easat-10581	159	13	,	,	PUNCT
easat-10581	159	14	n	n	CCONJ
easat-10581	159	15	/	/	SYM
easat-10581	159	16	a	a	DET
easat-10581	159	17	relevance	relevance	NOUN
easat-10581	159	18	score	score	VERB
easat-10581	159	19	a	a	DET
easat-10581	159	20	numerical	numerical	ADJ
easat-10581	159	21	value	value	NOUN
easat-10581	159	22	based	base	VERB
easat-10581	159	23	on	on	ADP
easat-10581	159	24	the	the	DET
easat-10581	159	25	number	number	NOUN
easat-10581	159	26	of	of	ADP
easat-10581	159	27	resources	resource	NOUN
easat-10581	159	28	reporting	report	VERB
easat-10581	159	29	the	the	DET
easat-10581	159	30	accident	accident	NOUN
easat-10581	159	31	and	and	CCONJ
easat-10581	159	32	the	the	DET
easat-10581	159	33	compatibility	compatibility	NOUN
easat-10581	159	34	of	of	ADP
easat-10581	159	35	their	their	PRON
easat-10581	159	36	data	datum	NOUN
easat-10581	159	37	nonnegative	nonnegative	ADJ
easat-10581	159	38	integer	integer	NOUN
easat-10581	159	39	gravity	gravity	NOUN
easat-10581	159	40	a	a	DET
easat-10581	159	41	numerical	numerical	ADJ
easat-10581	159	42	value	value	NOUN
easat-10581	159	43	assessing	assess	VERB
easat-10581	159	44	the	the	DET
easat-10581	159	45	gravity	gravity	NOUN
easat-10581	159	46	of	of	ADP
easat-10581	159	47	the	the	DET
easat-10581	159	48	accident	accident	NOUN
easat-10581	159	49	1	1	NUM
easat-10581	159	50	(	(	PUNCT
easat-10581	159	51	light	light	NOUN
easat-10581	159	52	)	)	PUNCT
easat-10581	159	53	to	to	ADP
easat-10581	159	54	8	8	NUM
easat-10581	159	55	(	(	PUNCT
easat-10581	159	56	severe	severe	ADJ
easat-10581	159	57	)	)	PUNCT
easat-10581	159	58	3.2	3.2	NUM
easat-10581	159	59	.	.	PUNCT
easat-10581	160	1	classification	classification	NOUN
easat-10581	160	2	model	model	NOUN
easat-10581	160	3	this	this	DET
easat-10581	160	4	model	model	NOUN
easat-10581	160	5	is	be	AUX
easat-10581	160	6	applied	apply	VERB
easat-10581	160	7	to	to	ADP
easat-10581	160	8	novel	novel	NOUN
easat-10581	160	9	,	,	PUNCT
easat-10581	160	10	unseen	unseen	ADJ
easat-10581	160	11	records	record	NOUN
easat-10581	160	12	,	,	PUNCT
easat-10581	160	13	and	and	CCONJ
easat-10581	160	14	on	on	ADP
easat-10581	160	15	the	the	DET
easat-10581	160	16	basis	basis	NOUN
easat-10581	160	17	of	of	ADP
easat-10581	160	18	their	their	PRON
easat-10581	160	19	features	feature	NOUN
easat-10581	160	20	,	,	PUNCT
easat-10581	160	21	their	their	PRON
easat-10581	160	22	classes	class	NOUN
easat-10581	160	23	are	be	AUX
easat-10581	160	24	determined	determine	VERB
easat-10581	160	25	.	.	PUNCT
easat-10581	161	1	classification	classification	NOUN
easat-10581	161	2	has	have	AUX
easat-10581	161	3	been	be	AUX
easat-10581	161	4	successfully	successfully	ADV
easat-10581	161	5	utilized	utilize	VERB
easat-10581	161	6	in	in	ADP
easat-10581	161	7	a	a	DET
easat-10581	161	8	wide	wide	ADJ
easat-10581	161	9	variety	variety	NOUN
easat-10581	161	10	of	of	ADP
easat-10581	161	11	domains	domain	NOUN
easat-10581	161	12	,	,	PUNCT
easat-10581	161	13	including	include	VERB
easat-10581	161	14	diagnostics	diagnostic	NOUN
easat-10581	161	15	in	in	ADP
easat-10581	161	16	medicine	medicine	NOUN
easat-10581	161	17	,	,	PUNCT
easat-10581	161	18	spam	spam	VERB
easat-10581	161	19	detection	detection	NOUN
easat-10581	161	20	and	and	CCONJ
easat-10581	161	21	sentiment	sentiment	NOUN
easat-10581	161	22	analysis	analysis	NOUN
easat-10581	161	23	in	in	ADP
easat-10581	161	24	natural	natural	ADJ
easat-10581	161	25	language	language	NOUN
easat-10581	161	26	processing	processing	NOUN
easat-10581	161	27	,	,	PUNCT
easat-10581	161	28	fraud	fraud	NOUN
easat-10581	161	29	detection	detection	NOUN
easat-10581	161	30	and	and	CCONJ
easat-10581	161	31	risk	risk	NOUN
easat-10581	161	32	assessment	assessment	NOUN
easat-10581	161	33	in	in	ADP
easat-10581	161	34	finance	finance	NOUN
easat-10581	161	35	,	,	PUNCT
easat-10581	161	36	threat	threat	NOUN
easat-10581	161	37	assessment	assessment	NOUN
easat-10581	161	38	in	in	ADP
easat-10581	161	39	cybersecurity	cybersecurity	NOUN
easat-10581	161	40	,	,	PUNCT
easat-10581	161	41	and	and	CCONJ
easat-10581	161	42	environmental	environmental	ADJ
easat-10581	161	43	monitoring	monitoring	NOUN
easat-10581	161	44	.	.	PUNCT
easat-10581	162	1	the	the	DET
easat-10581	162	2	workflow	workflow	NOUN
easat-10581	162	3	of	of	ADP
easat-10581	162	4	a	a	DET
easat-10581	162	5	classification	classification	NOUN
easat-10581	162	6	task	task	NOUN
easat-10581	162	7	typically	typically	ADV
easat-10581	162	8	involves	involve	VERB
easat-10581	162	9	several	several	ADJ
easat-10581	162	10	key	key	ADJ
easat-10581	162	11	steps	step	NOUN
easat-10581	162	12	,	,	PUNCT
easat-10581	162	13	such	such	ADJ
easat-10581	162	14	as	as	ADP
easat-10581	162	15	data	data	NOUN
easat-10581	162	16	preprocessing	preprocessing	NOUN
easat-10581	162	17	,	,	PUNCT
easat-10581	162	18	model	model	NOUN
easat-10581	162	19	selection	selection	NOUN
easat-10581	162	20	,	,	PUNCT
easat-10581	162	21	training	training	NOUN
easat-10581	162	22	,	,	PUNCT
easat-10581	162	23	testing	testing	NOUN
easat-10581	162	24	,	,	PUNCT
easat-10581	162	25	evaluation	evaluation	NOUN
easat-10581	162	26	,	,	PUNCT
easat-10581	162	27	and	and	CCONJ
easat-10581	162	28	prediction	prediction	NOUN
easat-10581	162	29	.	.	PUNCT
easat-10581	163	1	during	during	ADP
easat-10581	163	2	the	the	DET
easat-10581	163	3	preprocessing	preprocessing	NOUN
easat-10581	163	4	stage	stage	NOUN
easat-10581	163	5	,	,	PUNCT
easat-10581	163	6	the	the	DET
easat-10581	163	7	data	datum	NOUN
easat-10581	163	8	are	be	AUX
easat-10581	163	9	cleaned	clean	VERB
easat-10581	163	10	and	and	CCONJ
easat-10581	163	11	transformed	transform	VERB
easat-10581	163	12	into	into	ADP
easat-10581	163	13	a	a	DET
easat-10581	163	14	suitable	suitable	ADJ
easat-10581	163	15	format	format	NOUN
easat-10581	163	16	for	for	ADP
easat-10581	163	17	training	training	NOUN
easat-10581	163	18	.	.	PUNCT
easat-10581	164	1	subsequently	subsequently	ADV
easat-10581	164	2	,	,	PUNCT
easat-10581	164	3	the	the	DET
easat-10581	164	4	training	training	NOUN
easat-10581	164	5	model	model	NOUN
easat-10581	164	6	(	(	PUNCT
easat-10581	164	7	i.e.	i.e.	X
easat-10581	164	8	,	,	PUNCT
easat-10581	164	9	the	the	DET
easat-10581	164	10	training	training	NOUN
easat-10581	164	11	algorithm	algorithm	NOUN
easat-10581	164	12	)	)	PUNCT
easat-10581	164	13	is	be	AUX
easat-10581	164	14	selected	select	VERB
easat-10581	164	15	and	and	CCONJ
easat-10581	164	16	applied	apply	VERB
easat-10581	164	17	to	to	ADP
easat-10581	164	18	the	the	DET
easat-10581	164	19	dataset	dataset	NOUN
easat-10581	164	20	to	to	PART
easat-10581	164	21	infer	infer	VERB
easat-10581	164	22	the	the	DET
easat-10581	164	23	decision	decision	NOUN
easat-10581	164	24	998	998	NUM
easat-10581	164	25	edelweiss	edelweiss	PROPN
easat-10581	164	26	applied	apply	VERB
easat-10581	164	27	science	science	NOUN
easat-10581	164	28	and	and	CCONJ
easat-10581	164	29	technology	technology	NOUN
easat-10581	164	30	issn	issn	PROPN
easat-10581	164	31	:	:	PUNCT
easat-10581	164	32	2576	2576	NUM
easat-10581	164	33	-	-	SYM
easat-10581	164	34	8484	8484	NUM
easat-10581	164	35	vol	vol	NOUN
easat-10581	164	36	.	.	PROPN
easat-10581	165	1	9	9	NUM
easat-10581	165	2	,	,	PUNCT
easat-10581	165	3	no	no	INTJ
easat-10581	165	4	.	.	NOUN
easat-10581	165	5	10	10	NUM
easat-10581	165	6	:	:	PUNCT
easat-10581	165	7	992	992	NUM
easat-10581	165	8	-	-	SYM
easat-10581	165	9	1004	1004	NUM
easat-10581	165	10	,	,	PUNCT
easat-10581	165	11	2025	2025	NUM
easat-10581	165	12	doi	doi	NOUN
easat-10581	165	13	:	:	PUNCT
easat-10581	165	14	10.55214/2576	10.55214/2576	NUM
easat-10581	165	15	-	-	SYM
easat-10581	165	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	166	1	©	©	ADP
easat-10581	166	2	2025	2025	NUM
easat-10581	166	3	by	by	ADP
easat-10581	166	4	the	the	DET
easat-10581	166	5	authors	author	NOUN
easat-10581	166	6	;	;	PUNCT
easat-10581	166	7	licensee	licensee	PROPN
easat-10581	166	8	learning	learn	VERB
easat-10581	166	9	gate	gate	NOUN
easat-10581	166	10	boundaries	boundary	NOUN
easat-10581	166	11	or	or	CCONJ
easat-10581	166	12	rules	rule	NOUN
easat-10581	166	13	for	for	ADP
easat-10581	166	14	the	the	DET
easat-10581	166	15	separation	separation	NOUN
easat-10581	166	16	of	of	ADP
easat-10581	166	17	classes	class	NOUN
easat-10581	166	18	.	.	PUNCT
easat-10581	167	1	several	several	ADJ
easat-10581	167	2	options	option	NOUN
easat-10581	167	3	are	be	AUX
easat-10581	167	4	available	available	ADJ
easat-10581	167	5	for	for	ADP
easat-10581	167	6	the	the	DET
easat-10581	167	7	training	training	NOUN
easat-10581	167	8	model	model	NOUN
easat-10581	167	9	,	,	PUNCT
easat-10581	167	10	including	include	VERB
easat-10581	167	11	naïve	naïve	ADJ
easat-10581	167	12	bayes	bayes	PROPN
easat-10581	167	13	classifiers	classifier	NOUN
easat-10581	167	14	,	,	PUNCT
easat-10581	167	15	logistic	logistic	ADJ
easat-10581	167	16	regression	regression	NOUN
easat-10581	167	17	,	,	PUNCT
easat-10581	167	18	decision	decision	NOUN
easat-10581	167	19	trees	tree	NOUN
easat-10581	167	20	,	,	PUNCT
easat-10581	167	21	support	support	NOUN
easat-10581	167	22	vector	vector	NOUN
easat-10581	167	23	machines	machine	NOUN
easat-10581	167	24	,	,	PUNCT
easat-10581	167	25	ensemble	ensemble	ADJ
easat-10581	167	26	techniques	technique	NOUN
easat-10581	167	27	,	,	PUNCT
easat-10581	167	28	or	or	CCONJ
easat-10581	167	29	neural	neural	ADJ
easat-10581	167	30	networks	network	NOUN
easat-10581	167	31	.	.	PUNCT
easat-10581	168	1	the	the	DET
easat-10581	168	2	choice	choice	NOUN
easat-10581	168	3	of	of	ADP
easat-10581	168	4	training	training	NOUN
easat-10581	168	5	model	model	NOUN
easat-10581	168	6	generally	generally	ADV
easat-10581	168	7	depends	depend	VERB
easat-10581	168	8	on	on	ADP
easat-10581	168	9	the	the	DET
easat-10581	168	10	nature	nature	NOUN
easat-10581	168	11	of	of	ADP
easat-10581	168	12	the	the	DET
easat-10581	168	13	problem	problem	NOUN
easat-10581	168	14	and	and	CCONJ
easat-10581	168	15	the	the	DET
easat-10581	168	16	complexity	complexity	NOUN
easat-10581	168	17	of	of	ADP
easat-10581	168	18	the	the	DET
easat-10581	168	19	data	datum	NOUN
easat-10581	168	20	,	,	PUNCT
easat-10581	168	21	with	with	ADP
easat-10581	168	22	multiple	multiple	ADJ
easat-10581	168	23	models	model	NOUN
easat-10581	168	24	often	often	ADV
easat-10581	168	25	being	be	AUX
easat-10581	168	26	applicable	applicable	ADJ
easat-10581	168	27	.	.	PUNCT
easat-10581	169	1	the	the	DET
easat-10581	169	2	inferred	infer	VERB
easat-10581	169	3	model	model	NOUN
easat-10581	169	4	is	be	AUX
easat-10581	169	5	then	then	ADV
easat-10581	169	6	applied	apply	VERB
easat-10581	169	7	to	to	AUX
easat-10581	169	8	test	test	NOUN
easat-10581	169	9	data	datum	NOUN
easat-10581	169	10	to	to	PART
easat-10581	169	11	assess	assess	VERB
easat-10581	169	12	various	various	ADJ
easat-10581	169	13	performance	performance	NOUN
easat-10581	169	14	evaluation	evaluation	NOUN
easat-10581	169	15	metrics	metric	NOUN
easat-10581	169	16	,	,	PUNCT
easat-10581	169	17	such	such	ADJ
easat-10581	169	18	as	as	ADP
easat-10581	169	19	accuracy	accuracy	NOUN
easat-10581	169	20	,	,	PUNCT
easat-10581	169	21	precision	precision	NOUN
easat-10581	169	22	,	,	PUNCT
easat-10581	169	23	recall	recall	NOUN
easat-10581	169	24	,	,	PUNCT
easat-10581	169	25	and	and	CCONJ
easat-10581	169	26	f1	f1	NOUN
easat-10581	169	27	score	score	NOUN
easat-10581	169	28	.	.	PUNCT
easat-10581	170	1	once	once	ADV
easat-10581	170	2	the	the	DET
easat-10581	170	3	performance	performance	NOUN
easat-10581	170	4	evaluation	evaluation	NOUN
easat-10581	170	5	indicates	indicate	VERB
easat-10581	170	6	that	that	SCONJ
easat-10581	170	7	the	the	DET
easat-10581	170	8	algorithm	algorithm	NOUN
easat-10581	170	9	is	be	AUX
easat-10581	170	10	capable	capable	ADJ
easat-10581	170	11	of	of	ADP
easat-10581	170	12	generalizing	generalize	VERB
easat-10581	170	13	well	well	ADV
easat-10581	170	14	to	to	ADP
easat-10581	170	15	new	new	ADJ
easat-10581	170	16	data	datum	NOUN
easat-10581	170	17	,	,	PUNCT
easat-10581	170	18	the	the	DET
easat-10581	170	19	ultimate	ultimate	ADJ
easat-10581	170	20	goal	goal	NOUN
easat-10581	170	21	of	of	ADP
easat-10581	170	22	classification	classification	NOUN
easat-10581	170	23	is	be	AUX
easat-10581	170	24	achieved	achieve	VERB
easat-10581	170	25	:	:	PUNCT
easat-10581	170	26	determining	determine	VERB
easat-10581	170	27	the	the	DET
easat-10581	170	28	classes	class	NOUN
easat-10581	170	29	of	of	ADP
easat-10581	170	30	previously	previously	ADV
easat-10581	170	31	unseen	unseen	ADJ
easat-10581	170	32	data	datum	NOUN
easat-10581	170	33	.	.	PUNCT
easat-10581	171	1	in	in	ADP
easat-10581	171	2	this	this	DET
easat-10581	171	3	work	work	NOUN
easat-10581	171	4	,	,	PUNCT
easat-10581	171	5	an	an	DET
easat-10581	171	6	extensive	extensive	ADJ
easat-10581	171	7	application	application	NOUN
easat-10581	171	8	of	of	ADP
easat-10581	171	9	four	four	NUM
easat-10581	171	10	classification	classification	NOUN
easat-10581	171	11	methodologies	methodology	NOUN
easat-10581	171	12	is	be	AUX
easat-10581	171	13	conducted	conduct	VERB
easat-10581	171	14	:	:	PUNCT
easat-10581	171	15	the	the	DET
easat-10581	171	16	naïve	naïve	ADJ
easat-10581	171	17	bayes	bayes	PROPN
easat-10581	171	18	classifier	classifier	NOUN
easat-10581	171	19	,	,	PUNCT
easat-10581	171	20	random	random	ADJ
easat-10581	171	21	forests	forest	NOUN
easat-10581	171	22	,	,	PUNCT
easat-10581	171	23	and	and	CCONJ
easat-10581	171	24	two	two	NUM
easat-10581	171	25	gradient	gradient	NOUN
easat-10581	171	26	-	-	PUNCT
easat-10581	171	27	based	base	VERB
easat-10581	171	28	boosting	boost	VERB
easat-10581	171	29	methodologies	methodology	NOUN
easat-10581	171	30	:	:	PUNCT
easat-10581	171	31	the	the	DET
easat-10581	171	32	xgboost	xgboost	ADV
easat-10581	171	33	and	and	CCONJ
easat-10581	171	34	lightgbm	lightgbm	ADJ
easat-10581	171	35	algorithms	algorithm	NOUN
easat-10581	171	36	.	.	PUNCT
easat-10581	172	1	after	after	ADP
easat-10581	172	2	the	the	DET
easat-10581	172	3	preprocessing	preprocessing	NOUN
easat-10581	172	4	stage	stage	NOUN
easat-10581	172	5	,	,	PUNCT
easat-10581	172	6	the	the	DET
easat-10581	172	7	training	training	NOUN
easat-10581	172	8	/	/	SYM
easat-10581	172	9	testing	testing	NOUN
easat-10581	172	10	split	split	NOUN
easat-10581	172	11	procedure	procedure	NOUN
easat-10581	172	12	is	be	AUX
easat-10581	172	13	applied	apply	VERB
easat-10581	172	14	to	to	ADP
easat-10581	172	15	the	the	DET
easat-10581	172	16	transformed	transform	VERB
easat-10581	172	17	training	training	NOUN
easat-10581	172	18	dataset	dataset	VERB
easat-10581	172	19	with	with	ADP
easat-10581	172	20	a	a	DET
easat-10581	172	21	ratio	ratio	NOUN
easat-10581	172	22	of	of	ADP
easat-10581	172	23	80	80	NUM
easat-10581	172	24	%	%	NOUN
easat-10581	172	25	(	(	PUNCT
easat-10581	172	26	training	training	NOUN
easat-10581	172	27	)	)	PUNCT
easat-10581	172	28	20	20	NUM
easat-10581	172	29	%	%	NOUN
easat-10581	172	30	(	(	PUNCT
easat-10581	172	31	testing	testing	NOUN
easat-10581	172	32	)	)	PUNCT
easat-10581	172	33	.	.	PUNCT
easat-10581	173	1	the	the	DET
easat-10581	173	2	results	result	NOUN
easat-10581	173	3	of	of	ADP
easat-10581	173	4	the	the	DET
easat-10581	173	5	classification	classification	NOUN
easat-10581	173	6	model	model	NOUN
easat-10581	173	7	are	be	AUX
easat-10581	173	8	compared	compare	VERB
easat-10581	173	9	with	with	ADP
easat-10581	173	10	those	those	PRON
easat-10581	173	11	of	of	ADP
easat-10581	173	12	the	the	DET
easat-10581	173	13	original	original	ADJ
easat-10581	173	14	training	training	NOUN
easat-10581	173	15	set	set	VERB
easat-10581	173	16	to	to	PART
easat-10581	173	17	evaluate	evaluate	VERB
easat-10581	173	18	the	the	DET
easat-10581	173	19	performance	performance	NOUN
easat-10581	173	20	based	base	VERB
easat-10581	173	21	on	on	ADP
easat-10581	173	22	several	several	ADJ
easat-10581	173	23	performance	performance	NOUN
easat-10581	173	24	metrics	metric	NOUN
easat-10581	173	25	,	,	PUNCT
easat-10581	173	26	such	such	ADJ
easat-10581	173	27	as	as	ADP
easat-10581	173	28	accuracy	accuracy	NOUN
easat-10581	173	29	,	,	PUNCT
easat-10581	173	30	precision	precision	NOUN
easat-10581	173	31	,	,	PUNCT
easat-10581	173	32	recall	recall	NOUN
easat-10581	173	33	,	,	PUNCT
easat-10581	173	34	and	and	CCONJ
easat-10581	173	35	logarithmic	logarithmic	ADJ
easat-10581	173	36	loss	loss	NOUN
easat-10581	173	37	.	.	PUNCT
easat-10581	174	1	figure	figure	NOUN
easat-10581	174	2	2	2	NUM
easat-10581	174	3	.	.	PUNCT
easat-10581	174	4	application	application	NOUN
easat-10581	174	5	of	of	ADP
easat-10581	174	6	the	the	DET
easat-10581	174	7	classification	classification	NOUN
easat-10581	174	8	models	model	NOUN
easat-10581	174	9	.	.	PUNCT
easat-10581	175	1	3.2.1	3.2.1	X
easat-10581	175	2	.	.	PUNCT
easat-10581	175	3	naïve	naïve	ADJ
easat-10581	175	4	bayes	bayes	PROPN
easat-10581	175	5	classifier	classifier	AUX
easat-10581	175	6	the	the	DET
easat-10581	175	7	naïve	naïve	ADJ
easat-10581	175	8	bayes	bayes	NOUN
easat-10581	175	9	classifier	classifier	PROPN
easat-10581	175	10	handles	handle	VERB
easat-10581	175	11	the	the	DET
easat-10581	175	12	classification	classification	NOUN
easat-10581	175	13	problem	problem	NOUN
easat-10581	175	14	via	via	ADP
easat-10581	175	15	a	a	DET
easat-10581	175	16	probabilistic	probabilistic	ADJ
easat-10581	175	17	approach	approach	NOUN
easat-10581	175	18	.	.	PUNCT
easat-10581	176	1	the	the	DET
easat-10581	176	2	evaluation	evaluation	NOUN
easat-10581	176	3	of	of	ADP
easat-10581	176	4	the	the	DET
easat-10581	176	5	joint	joint	ADJ
easat-10581	176	6	probability	probability	NOUN
easat-10581	176	7	distribution	distribution	NOUN
easat-10581	176	8	values	value	NOUN
easat-10581	176	9	is	be	AUX
easat-10581	176	10	significantly	significantly	ADV
easat-10581	176	11	simplified	simplify	VERB
easat-10581	176	12	by	by	ADP
easat-10581	176	13	the	the	DET
easat-10581	176	14	‘	'	PUNCT
easat-10581	176	15	naïve	naïve	ADJ
easat-10581	176	16	’	'	PUNCT
easat-10581	176	17	assumption	assumption	NOUN
easat-10581	176	18	that	that	SCONJ
easat-10581	176	19	the	the	DET
easat-10581	176	20	features	feature	NOUN
easat-10581	176	21	are	be	AUX
easat-10581	176	22	conditionally	conditionally	ADV
easat-10581	176	23	independent	independent	ADJ
easat-10581	176	24	.	.	PUNCT
easat-10581	177	1	this	this	DET
easat-10581	177	2	simplification	simplification	NOUN
easat-10581	177	3	makes	make	VERB
easat-10581	177	4	the	the	DET
easat-10581	177	5	naïve	naïve	ADJ
easat-10581	177	6	bayes	bayes	NOUN
easat-10581	177	7	classifier	classifier	AUX
easat-10581	177	8	computationally	computationally	ADV
easat-10581	177	9	efficient	efficient	ADJ
easat-10581	177	10	even	even	ADV
easat-10581	177	11	for	for	ADP
easat-10581	177	12	large	large	ADJ
easat-10581	177	13	and	and	CCONJ
easat-10581	177	14	high	high	ADJ
easat-10581	177	15	-	-	PUNCT
easat-10581	177	16	dimensional	dimensional	ADJ
easat-10581	177	17	datasets	dataset	NOUN
easat-10581	177	18	.	.	PUNCT
easat-10581	178	1	the	the	DET
easat-10581	178	2	conditional	conditional	ADJ
easat-10581	178	3	probabilities	probability	NOUN
easat-10581	178	4	for	for	ADP
easat-10581	178	5	the	the	DET
easat-10581	178	6	new	new	ADJ
easat-10581	178	7	entry	entry	NOUN
easat-10581	178	8	belonging	belong	VERB
easat-10581	178	9	to	to	ADP
easat-10581	178	10	each	each	DET
easat-10581	178	11	class	class	NOUN
easat-10581	178	12	are	be	AUX
easat-10581	178	13	evaluated	evaluate	VERB
easat-10581	178	14	on	on	ADP
easat-10581	178	15	the	the	DET
easat-10581	178	16	basis	basis	NOUN
easat-10581	178	17	of	of	ADP
easat-10581	178	18	bayes	bayes	PROPN
easat-10581	178	19	'	'	PART
easat-10581	178	20	rule	rule	NOUN
easat-10581	178	21	,	,	PUNCT
easat-10581	178	22	and	and	CCONJ
easat-10581	178	23	the	the	DET
easat-10581	178	24	maximal	maximal	ADJ
easat-10581	178	25	value	value	NOUN
easat-10581	178	26	among	among	ADP
easat-10581	178	27	these	these	DET
easat-10581	178	28	probabilities	probability	NOUN
easat-10581	178	29	determines	determine	VERB
easat-10581	178	30	the	the	DET
easat-10581	178	31	class	class	NOUN
easat-10581	178	32	assignment	assignment	NOUN
easat-10581	178	33	of	of	ADP
easat-10581	178	34	the	the	DET
easat-10581	178	35	new	new	ADJ
easat-10581	178	36	entry	entry	NOUN
easat-10581	179	1	[	[	X
easat-10581	179	2	24	24	NUM
easat-10581	179	3	]	]	PUNCT
easat-10581	179	4	.	.	PUNCT
easat-10581	180	1	more	more	ADV
easat-10581	180	2	specifically	specifically	ADV
easat-10581	180	3	,	,	PUNCT
easat-10581	180	4	the	the	DET
easat-10581	180	5	evaluation	evaluation	NOUN
easat-10581	180	6	of	of	ADP
easat-10581	180	7	the	the	DET
easat-10581	180	8	conditional	conditional	ADJ
easat-10581	180	9	probabilities	probability	NOUN
easat-10581	180	10	is	be	AUX
easat-10581	180	11	handled	handle	VERB
easat-10581	180	12	as	as	SCONJ
easat-10581	180	13	follows	follow	VERB
easat-10581	180	14	.	.	PUNCT
easat-10581	181	1	𝑃(𝑐	𝑃(𝑐	ADJ
easat-10581	181	2	=	=	PUNCT
easat-10581	181	3	𝐶𝑖|𝑎1	𝐶𝑖|𝑎1	NOUN
easat-10581	181	4	=	=	SYM
easat-10581	181	5	𝑣1	𝑣1	NOUN
easat-10581	181	6	,	,	PUNCT
easat-10581	181	7	𝑎2	𝑎2	PROPN
easat-10581	181	8	=	=	SYM
easat-10581	181	9	𝑣2	𝑣2	PROPN
easat-10581	181	10	,	,	PUNCT
easat-10581	181	11	…	…	PUNCT
easat-10581	181	12	,	,	PUNCT
easat-10581	181	13	𝑎𝑛	𝑎𝑛	PROPN
easat-10581	181	14	=	=	SYM
easat-10581	181	15	𝑣𝑛	𝑣𝑛	NOUN
easat-10581	181	16	)	)	PUNCT
easat-10581	181	17	=	=	SYM
easat-10581	181	18	𝑃(𝑎1	𝑃(𝑎1	PROPN
easat-10581	181	19	=	=	SYM
easat-10581	181	20	𝑣1	𝑣1	NOUN
easat-10581	181	21	,	,	PUNCT
easat-10581	181	22	𝑎2	𝑎2	PROPN
easat-10581	181	23	=	=	SYM
easat-10581	181	24	𝑣2	𝑣2	PROPN
easat-10581	181	25	,	,	PUNCT
easat-10581	181	26	…	…	PUNCT
easat-10581	181	27	,	,	PUNCT
easat-10581	181	28	𝑎𝑛	𝑎𝑛	NOUN
easat-10581	181	29	=	=	PUNCT
easat-10581	181	30	𝑣𝑛|𝑐	𝑣𝑛|𝑐	NOUN
easat-10581	181	31	=	=	SYM
easat-10581	181	32	𝐶𝑖	𝐶𝑖	PROPN
easat-10581	181	33	)	)	PUNCT
easat-10581	181	34	𝑃(𝑎1=𝑣1,𝑎2=𝑣2,	𝑃(𝑎1=𝑣1,𝑎2=𝑣2,	NOUN
easat-10581	181	35	…	…	PUNCT
easat-10581	181	36	,𝑎𝑛=𝑣𝑛	,𝑎𝑛=𝑣𝑛	NUM
easat-10581	181	37	)	)	PUNCT
easat-10581	181	38	(	(	PUNCT
easat-10581	181	39	1	1	X
easat-10581	181	40	)	)	PUNCT
easat-10581	181	41	here	here	ADV
easat-10581	181	42	v1	v1	PROPN
easat-10581	181	43	,	,	PUNCT
easat-10581	181	44	v2	v2	PROPN
easat-10581	181	45	,	,	PUNCT
easat-10581	181	46	…	…	PUNCT
easat-10581	181	47	,	,	PUNCT
easat-10581	181	48	vn	vn	AUX
easat-10581	181	49	represent	represent	VERB
easat-10581	181	50	the	the	DET
easat-10581	181	51	values	value	NOUN
easat-10581	181	52	of	of	ADP
easat-10581	181	53	the	the	DET
easat-10581	181	54	features	feature	NOUN
easat-10581	181	55	of	of	ADP
easat-10581	181	56	the	the	DET
easat-10581	181	57	new	new	ADJ
easat-10581	181	58	entry	entry	NOUN
easat-10581	181	59	and	and	CCONJ
easat-10581	181	60	the	the	DET
easat-10581	181	61	above	above	ADJ
easat-10581	181	62	calculation	calculation	NOUN
easat-10581	181	63	is	be	AUX
easat-10581	181	64	repeated	repeat	VERB
easat-10581	181	65	for	for	ADP
easat-10581	181	66	each	each	PRON
easat-10581	181	67	of	of	ADP
easat-10581	181	68	the	the	DET
easat-10581	181	69	classes	class	NOUN
easat-10581	181	70	c1	c1	PROPN
easat-10581	181	71	,	,	PUNCT
easat-10581	181	72	c2	c2	PROPN
easat-10581	181	73	,	,	PUNCT
easat-10581	181	74	…	…	PUNCT
easat-10581	181	75	,	,	PUNCT
easat-10581	181	76	cm	cm	NOUN
easat-10581	181	77	of	of	ADP
easat-10581	181	78	the	the	DET
easat-10581	181	79	training	training	NOUN
easat-10581	181	80	set	set	NOUN
easat-10581	181	81	.	.	PUNCT
easat-10581	182	1	as	as	SCONJ
easat-10581	182	2	the	the	DET
easat-10581	182	3	denominator	denominator	NOUN
easat-10581	182	4	in	in	ADP
easat-10581	182	5	the	the	DET
easat-10581	182	6	above	above	ADJ
easat-10581	182	7	calculations	calculation	NOUN
easat-10581	182	8	is	be	AUX
easat-10581	182	9	precisely	precisely	ADV
easat-10581	182	10	the	the	DET
easat-10581	182	11	same	same	ADJ
easat-10581	182	12	for	for	ADP
easat-10581	182	13	all	all	DET
easat-10581	182	14	classes	class	NOUN
easat-10581	182	15	and	and	CCONJ
easat-10581	182	16	the	the	DET
easat-10581	182	17	objective	objective	NOUN
easat-10581	182	18	is	be	AUX
easat-10581	182	19	to	to	PART
easat-10581	182	20	find	find	VERB
easat-10581	182	21	the	the	DET
easat-10581	182	22	maximum	maximum	ADJ
easat-10581	182	23	value	value	NOUN
easat-10581	182	24	,	,	PUNCT
easat-10581	182	25	then	then	ADV
easat-10581	182	26	the	the	DET
easat-10581	182	27	procedure	procedure	NOUN
easat-10581	182	28	can	can	AUX
easat-10581	182	29	be	be	AUX
easat-10581	182	30	carried	carry	VERB
easat-10581	182	31	out	out	ADP
easat-10581	182	32	just	just	ADV
easat-10581	182	33	by	by	ADP
easat-10581	182	34	evaluating	evaluate	VERB
easat-10581	182	35	the	the	DET
easat-10581	182	36	numerators	numerator	NOUN
easat-10581	182	37	of	of	ADP
easat-10581	182	38	these	these	DET
easat-10581	182	39	fractions	fraction	NOUN
easat-10581	182	40	.	.	PUNCT
easat-10581	183	1	despite	despite	SCONJ
easat-10581	183	2	being	be	AUX
easat-10581	183	3	a	a	DET
easat-10581	183	4	fairly	fairly	ADV
easat-10581	183	5	simple	simple	ADJ
easat-10581	183	6	classification	classification	NOUN
easat-10581	183	7	model	model	NOUN
easat-10581	183	8	,	,	PUNCT
easat-10581	183	9	naïve	naïve	ADJ
easat-10581	183	10	bayes	bayes	NOUN
easat-10581	183	11	classification	classification	NOUN
easat-10581	183	12	operates	operate	VERB
easat-10581	183	13	reasonably	reasonably	ADV
easat-10581	183	14	well	well	ADV
easat-10581	183	15	in	in	ADP
easat-10581	183	16	practice	practice	NOUN
easat-10581	183	17	,	,	PUNCT
easat-10581	183	18	making	make	VERB
easat-10581	183	19	it	it	PRON
easat-10581	183	20	a	a	DET
easat-10581	183	21	999	999	NUM
easat-10581	183	22	edelweiss	edelweiss	PROPN
easat-10581	183	23	applied	apply	VERB
easat-10581	183	24	science	science	NOUN
easat-10581	183	25	and	and	CCONJ
easat-10581	183	26	technology	technology	NOUN
easat-10581	183	27	issn	issn	PROPN
easat-10581	183	28	:	:	PUNCT
easat-10581	183	29	2576	2576	NUM
easat-10581	183	30	-	-	SYM
easat-10581	183	31	8484	8484	NUM
easat-10581	183	32	vol	vol	NOUN
easat-10581	183	33	.	.	PROPN
easat-10581	184	1	9	9	NUM
easat-10581	184	2	,	,	PUNCT
easat-10581	184	3	no	no	INTJ
easat-10581	184	4	.	.	NOUN
easat-10581	184	5	10	10	NUM
easat-10581	184	6	:	:	PUNCT
easat-10581	184	7	992	992	NUM
easat-10581	184	8	-	-	SYM
easat-10581	184	9	1004	1004	NUM
easat-10581	184	10	,	,	PUNCT
easat-10581	184	11	2025	2025	NUM
easat-10581	184	12	doi	doi	NOUN
easat-10581	184	13	:	:	PUNCT
easat-10581	184	14	10.55214/2576	10.55214/2576	NUM
easat-10581	184	15	-	-	SYM
easat-10581	184	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	184	17	©	©	ADP
easat-10581	184	18	2025	2025	NUM
easat-10581	184	19	by	by	ADP
easat-10581	184	20	the	the	DET
easat-10581	184	21	authors	author	NOUN
easat-10581	184	22	;	;	PUNCT
easat-10581	184	23	licensee	licensee	PROPN
easat-10581	184	24	learning	learning	NOUN
easat-10581	184	25	gate	gate	VERB
easat-10581	184	26	significant	significant	ADJ
easat-10581	184	27	tool	tool	NOUN
easat-10581	184	28	in	in	ADP
easat-10581	184	29	classification	classification	NOUN
easat-10581	184	30	problems	problem	NOUN
easat-10581	184	31	.	.	PUNCT
easat-10581	185	1	3.2.2	3.2.2	X
easat-10581	185	2	.	.	PUNCT
easat-10581	185	3	random	random	ADJ
easat-10581	185	4	forests	forest	NOUN
easat-10581	185	5	the	the	DET
easat-10581	185	6	central	central	ADJ
easat-10581	185	7	idea	idea	NOUN
easat-10581	185	8	of	of	ADP
easat-10581	185	9	ensemble	ensemble	ADJ
easat-10581	185	10	methods	method	NOUN
easat-10581	185	11	is	be	AUX
easat-10581	185	12	constructing	construct	VERB
easat-10581	185	13	multiple	multiple	ADJ
easat-10581	185	14	classification	classification	NOUN
easat-10581	185	15	models	model	NOUN
easat-10581	185	16	simultaneously	simultaneously	ADV
easat-10581	185	17	and	and	CCONJ
easat-10581	185	18	yielding	yield	VERB
easat-10581	185	19	the	the	DET
easat-10581	185	20	final	final	ADJ
easat-10581	185	21	decision	decision	NOUN
easat-10581	185	22	by	by	ADP
easat-10581	185	23	aggregating	aggregate	VERB
easat-10581	185	24	the	the	DET
easat-10581	185	25	results	result	NOUN
easat-10581	185	26	of	of	ADP
easat-10581	185	27	these	these	DET
easat-10581	185	28	classifiers	classifier	NOUN
easat-10581	185	29	.	.	PUNCT
easat-10581	186	1	each	each	DET
easat-10581	186	2	component	component	NOUN
easat-10581	186	3	classifier	classifier	NOUN
easat-10581	186	4	,	,	PUNCT
easat-10581	186	5	known	know	VERB
easat-10581	186	6	as	as	ADP
easat-10581	186	7	a	a	DET
easat-10581	186	8	base	base	NOUN
easat-10581	186	9	learner	learner	NOUN
easat-10581	186	10	,	,	PUNCT
easat-10581	186	11	can	can	AUX
easat-10581	186	12	be	be	AUX
easat-10581	186	13	a	a	DET
easat-10581	186	14	simple	simple	ADJ
easat-10581	186	15	model	model	NOUN
easat-10581	186	16	like	like	ADP
easat-10581	186	17	a	a	DET
easat-10581	186	18	decision	decision	NOUN
easat-10581	186	19	tree	tree	NOUN
easat-10581	186	20	or	or	CCONJ
easat-10581	186	21	a	a	DET
easat-10581	186	22	more	more	ADV
easat-10581	186	23	complex	complex	ADJ
easat-10581	186	24	model	model	NOUN
easat-10581	186	25	like	like	ADP
easat-10581	186	26	a	a	DET
easat-10581	186	27	support	support	NOUN
easat-10581	186	28	vector	vector	NOUN
easat-10581	186	29	machine	machine	NOUN
easat-10581	186	30	.	.	PUNCT
easat-10581	187	1	the	the	DET
easat-10581	187	2	results	result	NOUN
easat-10581	187	3	provided	provide	VERB
easat-10581	187	4	by	by	ADP
easat-10581	187	5	the	the	DET
easat-10581	187	6	base	base	NOUN
easat-10581	187	7	learners	learner	NOUN
easat-10581	187	8	can	can	AUX
easat-10581	187	9	be	be	AUX
easat-10581	187	10	combined	combine	VERB
easat-10581	187	11	into	into	ADP
easat-10581	187	12	a	a	DET
easat-10581	187	13	single	single	ADJ
easat-10581	187	14	classification	classification	NOUN
easat-10581	187	15	result	result	NOUN
easat-10581	187	16	by	by	ADP
easat-10581	187	17	various	various	ADJ
easat-10581	187	18	methods	method	NOUN
easat-10581	187	19	,	,	PUNCT
easat-10581	187	20	such	such	ADJ
easat-10581	187	21	as	as	ADP
easat-10581	187	22	majority	majority	NOUN
easat-10581	187	23	vote	vote	NOUN
easat-10581	187	24	,	,	PUNCT
easat-10581	187	25	weighted	weighted	ADJ
easat-10581	187	26	vote	vote	NOUN
easat-10581	187	27	,	,	PUNCT
easat-10581	187	28	averaging	average	VERB
easat-10581	187	29	probabilities	probability	NOUN
easat-10581	187	30	,	,	PUNCT
easat-10581	187	31	etc	etc	X
easat-10581	187	32	.	.	X
easat-10581	188	1	the	the	DET
easat-10581	188	2	rationale	rationale	NOUN
easat-10581	188	3	behind	behind	ADP
easat-10581	188	4	the	the	DET
easat-10581	188	5	ensemble	ensemble	ADJ
easat-10581	188	6	methodology	methodology	NOUN
easat-10581	188	7	is	be	AUX
easat-10581	188	8	that	that	SCONJ
easat-10581	188	9	the	the	DET
easat-10581	188	10	aggregation	aggregation	NOUN
easat-10581	188	11	of	of	ADP
easat-10581	188	12	different	different	ADJ
easat-10581	188	13	methodologies	methodology	NOUN
easat-10581	188	14	eliminates	eliminate	VERB
easat-10581	188	15	errors	error	NOUN
easat-10581	188	16	caused	cause	VERB
easat-10581	188	17	by	by	ADP
easat-10581	188	18	noise	noise	NOUN
easat-10581	188	19	,	,	PUNCT
easat-10581	188	20	biases	bias	NOUN
easat-10581	188	21	,	,	PUNCT
easat-10581	188	22	or	or	CCONJ
easat-10581	188	23	variance	variance	NOUN
easat-10581	188	24	in	in	ADP
easat-10581	188	25	any	any	DET
easat-10581	188	26	particular	particular	ADJ
easat-10581	188	27	base	base	NOUN
easat-10581	188	28	learner	learner	NOUN
easat-10581	188	29	.	.	PUNCT
easat-10581	189	1	ensemble	ensemble	ADJ
easat-10581	189	2	methods	method	NOUN
easat-10581	189	3	are	be	AUX
easat-10581	189	4	used	use	VERB
easat-10581	189	5	successfully	successfully	ADV
easat-10581	189	6	in	in	ADP
easat-10581	189	7	both	both	CCONJ
easat-10581	189	8	classification	classification	NOUN
easat-10581	189	9	and	and	CCONJ
easat-10581	189	10	clustering	clustering	NOUN
easat-10581	189	11	problems	problem	NOUN
easat-10581	189	12	,	,	PUNCT
easat-10581	189	13	significantly	significantly	ADV
easat-10581	189	14	increasing	increase	VERB
easat-10581	189	15	the	the	DET
easat-10581	189	16	stability	stability	NOUN
easat-10581	189	17	of	of	ADP
easat-10581	189	18	performance	performance	NOUN
easat-10581	189	19	metrics	metric	NOUN
easat-10581	189	20	,	,	PUNCT
easat-10581	189	21	but	but	CCONJ
easat-10581	189	22	at	at	ADP
easat-10581	189	23	a	a	DET
easat-10581	189	24	higher	high	ADJ
easat-10581	189	25	computational	computational	ADJ
easat-10581	189	26	cost	cost	NOUN
easat-10581	189	27	[	[	X
easat-10581	189	28	25	25	NUM
easat-10581	189	29	]	]	PUNCT
easat-10581	189	30	.	.	PUNCT
easat-10581	190	1	the	the	DET
easat-10581	190	2	random	random	ADJ
easat-10581	190	3	forests	forest	NOUN
easat-10581	190	4	classification	classification	NOUN
easat-10581	190	5	method	method	NOUN
easat-10581	190	6	is	be	AUX
easat-10581	190	7	an	an	DET
easat-10581	190	8	ensemble	ensemble	ADJ
easat-10581	190	9	method	method	NOUN
easat-10581	190	10	that	that	PRON
easat-10581	190	11	operates	operate	VERB
easat-10581	190	12	by	by	ADP
easat-10581	190	13	constructing	construct	VERB
easat-10581	190	14	several	several	ADJ
easat-10581	190	15	decision	decision	NOUN
easat-10581	190	16	trees	tree	NOUN
easat-10581	190	17	simultaneously	simultaneously	ADV
easat-10581	190	18	during	during	ADP
easat-10581	190	19	the	the	DET
easat-10581	190	20	training	training	NOUN
easat-10581	190	21	phase	phase	NOUN
easat-10581	190	22	.	.	PUNCT
easat-10581	191	1	each	each	PRON
easat-10581	191	2	of	of	ADP
easat-10581	191	3	these	these	DET
easat-10581	191	4	decision	decision	NOUN
easat-10581	191	5	trees	tree	NOUN
easat-10581	191	6	is	be	AUX
easat-10581	191	7	built	build	VERB
easat-10581	191	8	using	use	VERB
easat-10581	191	9	a	a	DET
easat-10581	191	10	randomly	randomly	ADV
easat-10581	191	11	selected	select	VERB
easat-10581	191	12	subset	subset	NOUN
easat-10581	191	13	of	of	ADP
easat-10581	191	14	the	the	DET
easat-10581	191	15	original	original	ADJ
easat-10581	191	16	training	training	NOUN
easat-10581	191	17	set	set	NOUN
easat-10581	191	18	,	,	PUNCT
easat-10581	191	19	via	via	ADP
easat-10581	191	20	a	a	DET
easat-10581	191	21	procedure	procedure	NOUN
easat-10581	191	22	known	know	VERB
easat-10581	191	23	as	as	ADP
easat-10581	191	24	bootstrap	bootstrap	NOUN
easat-10581	191	25	aggregation	aggregation	NOUN
easat-10581	191	26	(	(	PUNCT
easat-10581	191	27	bagging	bagging	NOUN
easat-10581	191	28	)	)	PUNCT
easat-10581	191	29	.	.	PUNCT
easat-10581	192	1	this	this	DET
easat-10581	192	2	randomness	randomness	NOUN
easat-10581	192	3	in	in	ADP
easat-10581	192	4	data	datum	NOUN
easat-10581	192	5	selection	selection	NOUN
easat-10581	192	6	provides	provide	VERB
easat-10581	192	7	diversity	diversity	NOUN
easat-10581	192	8	in	in	ADP
easat-10581	192	9	the	the	DET
easat-10581	192	10	generated	generate	VERB
easat-10581	192	11	decision	decision	NOUN
easat-10581	192	12	trees	tree	NOUN
easat-10581	192	13	.	.	PUNCT
easat-10581	193	1	additionally	additionally	ADV
easat-10581	193	2	,	,	PUNCT
easat-10581	193	3	the	the	DET
easat-10581	193	4	diversity	diversity	NOUN
easat-10581	193	5	is	be	AUX
easat-10581	193	6	further	far	ADV
easat-10581	193	7	enhanced	enhance	VERB
easat-10581	193	8	as	as	SCONJ
easat-10581	193	9	the	the	DET
easat-10581	193	10	splits	split	NOUN
easat-10581	193	11	during	during	ADP
easat-10581	193	12	the	the	DET
easat-10581	193	13	construction	construction	NOUN
easat-10581	193	14	of	of	ADP
easat-10581	193	15	the	the	DET
easat-10581	193	16	trees	tree	NOUN
easat-10581	193	17	are	be	AUX
easat-10581	193	18	conducted	conduct	VERB
easat-10581	193	19	by	by	ADP
easat-10581	193	20	picking	pick	VERB
easat-10581	193	21	random	random	ADJ
easat-10581	193	22	subsets	subset	NOUN
easat-10581	193	23	of	of	ADP
easat-10581	193	24	features	feature	NOUN
easat-10581	193	25	rather	rather	ADV
easat-10581	193	26	than	than	ADP
easat-10581	193	27	the	the	DET
easat-10581	193	28	entire	entire	ADJ
easat-10581	193	29	spectrum	spectrum	NOUN
easat-10581	193	30	of	of	ADP
easat-10581	193	31	features	feature	NOUN
easat-10581	193	32	.	.	PUNCT
easat-10581	194	1	the	the	DET
easat-10581	194	2	enhanced	enhanced	ADJ
easat-10581	194	3	diversity	diversity	NOUN
easat-10581	194	4	enables	enable	VERB
easat-10581	194	5	the	the	DET
easat-10581	194	6	model	model	NOUN
easat-10581	194	7	to	to	PART
easat-10581	194	8	be	be	AUX
easat-10581	194	9	not	not	PART
easat-10581	194	10	only	only	ADV
easat-10581	194	11	more	more	ADV
easat-10581	194	12	resistant	resistant	ADJ
easat-10581	194	13	to	to	AUX
easat-10581	194	14	noise	noise	NOUN
easat-10581	194	15	and	and	CCONJ
easat-10581	194	16	biases	bias	NOUN
easat-10581	194	17	but	but	CCONJ
easat-10581	194	18	also	also	ADV
easat-10581	194	19	much	much	ADV
easat-10581	194	20	less	less	ADV
easat-10581	194	21	susceptible	susceptible	ADJ
easat-10581	194	22	to	to	ADP
easat-10581	194	23	overfitting	overfitte	VERB
easat-10581	194	24	.	.	PUNCT
easat-10581	195	1	other	other	ADJ
easat-10581	195	2	significant	significant	ADJ
easat-10581	195	3	strengths	strength	NOUN
easat-10581	195	4	include	include	VERB
easat-10581	195	5	the	the	DET
easat-10581	195	6	capability	capability	NOUN
easat-10581	195	7	to	to	PART
easat-10581	195	8	operate	operate	VERB
easat-10581	195	9	on	on	ADP
easat-10581	195	10	combinations	combination	NOUN
easat-10581	195	11	of	of	ADP
easat-10581	195	12	both	both	CCONJ
easat-10581	195	13	categorical	categorical	ADJ
easat-10581	195	14	and	and	CCONJ
easat-10581	195	15	numerical	numerical	ADJ
easat-10581	195	16	features	feature	NOUN
easat-10581	195	17	,	,	PUNCT
easat-10581	195	18	management	management	NOUN
easat-10581	195	19	of	of	ADP
easat-10581	195	20	imbalanced	imbalanced	ADJ
easat-10581	195	21	datasets	dataset	NOUN
easat-10581	195	22	,	,	PUNCT
easat-10581	195	23	and	and	CCONJ
easat-10581	195	24	handling	handling	NOUN
easat-10581	195	25	of	of	ADP
easat-10581	195	26	missing	miss	VERB
easat-10581	195	27	values	value	NOUN
easat-10581	195	28	.	.	PUNCT
easat-10581	196	1	the	the	DET
easat-10581	196	2	random	random	ADJ
easat-10581	196	3	forests	forest	NOUN
easat-10581	196	4	method	method	NOUN
easat-10581	196	5	has	have	AUX
easat-10581	196	6	been	be	AUX
easat-10581	196	7	widely	widely	ADV
easat-10581	196	8	adopted	adopt	VERB
easat-10581	196	9	in	in	ADP
easat-10581	196	10	practice	practice	NOUN
easat-10581	196	11	due	due	ADP
easat-10581	196	12	to	to	ADP
easat-10581	196	13	its	its	PRON
easat-10581	196	14	ease	ease	NOUN
easat-10581	196	15	of	of	ADP
easat-10581	196	16	use	use	NOUN
easat-10581	196	17	,	,	PUNCT
easat-10581	196	18	versatility	versatility	NOUN
easat-10581	196	19	supported	support	VERB
easat-10581	196	20	by	by	ADP
easat-10581	196	21	its	its	PRON
easat-10581	196	22	set	set	NOUN
easat-10581	196	23	of	of	ADP
easat-10581	196	24	strengths	strength	NOUN
easat-10581	196	25	,	,	PUNCT
easat-10581	196	26	and	and	CCONJ
easat-10581	196	27	capability	capability	NOUN
easat-10581	196	28	of	of	ADP
easat-10581	196	29	dealing	deal	VERB
easat-10581	196	30	with	with	ADP
easat-10581	196	31	both	both	CCONJ
easat-10581	196	32	classification	classification	NOUN
easat-10581	196	33	and	and	CCONJ
easat-10581	196	34	regression	regression	NOUN
easat-10581	196	35	problems	problem	NOUN
easat-10581	196	36	[	[	X
easat-10581	196	37	26	26	NUM
easat-10581	196	38	]	]	PUNCT
easat-10581	196	39	.	.	PUNCT
easat-10581	197	1	3.2.3	3.2.3	X
easat-10581	197	2	.	.	X
easat-10581	198	1	xgboost	xgboost	X
easat-10581	199	1	both	both	CCONJ
easat-10581	199	2	xgboost	xgboost	ADV
easat-10581	199	3	and	and	CCONJ
easat-10581	199	4	lightgbm	lightgbm	VERB
easat-10581	199	5	belong	belong	VERB
easat-10581	199	6	to	to	ADP
easat-10581	199	7	the	the	DET
easat-10581	199	8	gradient	gradient	NOUN
easat-10581	199	9	boosting	boost	VERB
easat-10581	199	10	ensemble	ensemble	ADJ
easat-10581	199	11	methods	method	NOUN
easat-10581	199	12	.	.	PUNCT
easat-10581	200	1	the	the	DET
easat-10581	200	2	central	central	ADJ
easat-10581	200	3	idea	idea	NOUN
easat-10581	200	4	here	here	ADV
easat-10581	200	5	is	be	AUX
easat-10581	200	6	still	still	ADV
easat-10581	200	7	the	the	DET
easat-10581	200	8	construction	construction	NOUN
easat-10581	200	9	of	of	ADP
easat-10581	200	10	multiple	multiple	ADJ
easat-10581	200	11	base	base	NOUN
easat-10581	200	12	learners	learner	NOUN
easat-10581	200	13	,	,	PUNCT
easat-10581	200	14	but	but	CCONJ
easat-10581	200	15	unlike	unlike	ADP
easat-10581	200	16	bagging	bag	VERB
easat-10581	200	17	ensembles	ensemble	NOUN
easat-10581	200	18	(	(	PUNCT
easat-10581	200	19	e.g.	e.g.	ADV
easat-10581	200	20	,	,	PUNCT
easat-10581	200	21	random	random	ADJ
easat-10581	200	22	forests	forest	NOUN
easat-10581	200	23	)	)	PUNCT
easat-10581	200	24	where	where	SCONJ
easat-10581	200	25	the	the	DET
easat-10581	200	26	trees	tree	NOUN
easat-10581	200	27	are	be	AUX
easat-10581	200	28	constructed	construct	VERB
easat-10581	200	29	independently	independently	ADV
easat-10581	200	30	,	,	PUNCT
easat-10581	200	31	here	here	ADV
easat-10581	200	32	,	,	PUNCT
easat-10581	200	33	trees	tree	NOUN
easat-10581	200	34	are	be	AUX
easat-10581	200	35	constructed	construct	VERB
easat-10581	200	36	in	in	ADP
easat-10581	200	37	an	an	DET
easat-10581	200	38	iterative	iterative	NOUN
easat-10581	200	39	manner	manner	NOUN
easat-10581	200	40	,	,	PUNCT
easat-10581	200	41	each	each	PRON
easat-10581	200	42	focusing	focus	VERB
easat-10581	200	43	on	on	ADP
easat-10581	200	44	rectifying	rectify	VERB
easat-10581	200	45	the	the	DET
easat-10581	200	46	errors	error	NOUN
easat-10581	200	47	made	make	VERB
easat-10581	200	48	by	by	ADP
easat-10581	200	49	the	the	DET
easat-10581	200	50	previous	previous	ADJ
easat-10581	200	51	one	one	NUM
easat-10581	200	52	by	by	ADP
easat-10581	200	53	optimizing	optimize	VERB
easat-10581	200	54	a	a	DET
easat-10581	200	55	specific	specific	ADJ
easat-10581	200	56	loss	loss	NOUN
easat-10581	200	57	function	function	NOUN
easat-10581	200	58	.	.	PUNCT
easat-10581	201	1	extreme	extreme	ADJ
easat-10581	201	2	gradient	gradient	NOUN
easat-10581	201	3	boosting	boost	VERB
easat-10581	201	4	(	(	PUNCT
easat-10581	201	5	xgboost	xgboost	X
easat-10581	201	6	)	)	PUNCT
easat-10581	201	7	is	be	AUX
easat-10581	201	8	a	a	DET
easat-10581	201	9	powerful	powerful	ADJ
easat-10581	201	10	gradient	gradient	NOUN
easat-10581	201	11	boosting	boost	VERB
easat-10581	201	12	method	method	NOUN
easat-10581	201	13	that	that	PRON
easat-10581	201	14	uses	use	VERB
easat-10581	201	15	a	a	DET
easat-10581	201	16	loss	loss	NOUN
easat-10581	201	17	function	function	NOUN
easat-10581	201	18	to	to	PART
easat-10581	201	19	guide	guide	VERB
easat-10581	201	20	the	the	DET
easat-10581	201	21	tree	tree	NOUN
easat-10581	201	22	construction	construction	NOUN
easat-10581	201	23	process	process	NOUN
easat-10581	201	24	.	.	PUNCT
easat-10581	202	1	the	the	DET
easat-10581	202	2	loss	loss	NOUN
easat-10581	202	3	function	function	NOUN
easat-10581	202	4	assesses	assess	VERB
easat-10581	202	5	the	the	DET
easat-10581	202	6	distances	distance	NOUN
easat-10581	202	7	between	between	ADP
easat-10581	202	8	predicted	predict	VERB
easat-10581	202	9	values	value	NOUN
easat-10581	202	10	and	and	CCONJ
easat-10581	202	11	the	the	DET
easat-10581	202	12	actual	actual	ADJ
easat-10581	202	13	values	value	NOUN
easat-10581	202	14	(	(	PUNCT
easat-10581	202	15	known	know	VERB
easat-10581	202	16	as	as	ADP
easat-10581	202	17	residual	residual	ADJ
easat-10581	202	18	errors	error	NOUN
easat-10581	202	19	)	)	PUNCT
easat-10581	202	20	,	,	PUNCT
easat-10581	202	21	and	and	CCONJ
easat-10581	202	22	the	the	DET
easat-10581	202	23	gradient	gradient	NOUN
easat-10581	202	24	boosting	boost	VERB
easat-10581	202	25	approach	approach	NOUN
easat-10581	202	26	minimizes	minimize	VERB
easat-10581	202	27	this	this	DET
easat-10581	202	28	loss	loss	NOUN
easat-10581	202	29	iteratively	iteratively	ADV
easat-10581	202	30	.	.	PUNCT
easat-10581	203	1	at	at	ADP
easat-10581	203	2	each	each	DET
easat-10581	203	3	iteration	iteration	NOUN
easat-10581	203	4	,	,	PUNCT
easat-10581	203	5	a	a	DET
easat-10581	203	6	new	new	ADJ
easat-10581	203	7	tree	tree	NOUN
easat-10581	203	8	is	be	AUX
easat-10581	203	9	constructed	construct	VERB
easat-10581	203	10	,	,	PUNCT
easat-10581	203	11	which	which	PRON
easat-10581	203	12	strives	strive	VERB
easat-10581	203	13	to	to	PART
easat-10581	203	14	reduce	reduce	VERB
easat-10581	203	15	the	the	DET
easat-10581	203	16	residual	residual	ADJ
easat-10581	203	17	errors	error	NOUN
easat-10581	203	18	manifested	manifest	VERB
easat-10581	203	19	in	in	ADP
easat-10581	203	20	the	the	DET
easat-10581	203	21	previous	previous	ADJ
easat-10581	203	22	tree	tree	NOUN
easat-10581	203	23	,	,	PUNCT
easat-10581	203	24	thus	thus	ADV
easat-10581	203	25	,	,	PUNCT
easat-10581	203	26	the	the	DET
easat-10581	203	27	overall	overall	ADJ
easat-10581	203	28	performance	performance	NOUN
easat-10581	203	29	of	of	ADP
easat-10581	203	30	the	the	DET
easat-10581	203	31	model	model	NOUN
easat-10581	203	32	is	be	AUX
easat-10581	203	33	gradually	gradually	ADV
easat-10581	203	34	improved	improve	VERB
easat-10581	203	35	.	.	PUNCT
easat-10581	204	1	this	this	DET
easat-10581	204	2	approach	approach	NOUN
easat-10581	204	3	is	be	AUX
easat-10581	204	4	characterized	characterize	VERB
easat-10581	204	5	by	by	ADP
easat-10581	204	6	very	very	ADV
easat-10581	204	7	decent	decent	ADJ
easat-10581	204	8	efficiency	efficiency	NOUN
easat-10581	204	9	as	as	SCONJ
easat-10581	204	10	it	it	PRON
easat-10581	204	11	employs	employ	VERB
easat-10581	204	12	a	a	DET
easat-10581	204	13	histogram	histogram	NOUN
easat-10581	204	14	-	-	PUNCT
easat-10581	204	15	based	base	VERB
easat-10581	204	16	accommodation	accommodation	NOUN
easat-10581	204	17	of	of	ADP
easat-10581	204	18	the	the	DET
easat-10581	204	19	splits	split	NOUN
easat-10581	204	20	,	,	PUNCT
easat-10581	204	21	which	which	PRON
easat-10581	204	22	is	be	AUX
easat-10581	204	23	faster	fast	ADJ
easat-10581	204	24	than	than	ADP
easat-10581	204	25	classical	classical	ADJ
easat-10581	204	26	methods	method	NOUN
easat-10581	204	27	.	.	PUNCT
easat-10581	205	1	moreover	moreover	ADV
easat-10581	205	2	,	,	PUNCT
easat-10581	205	3	it	it	PRON
easat-10581	205	4	is	be	AUX
easat-10581	205	5	very	very	ADV
easat-10581	205	6	well	well	ADV
easat-10581	205	7	scalable	scalable	ADJ
easat-10581	205	8	,	,	PUNCT
easat-10581	205	9	providing	provide	VERB
easat-10581	205	10	excellent	excellent	ADJ
easat-10581	205	11	support	support	NOUN
easat-10581	205	12	for	for	ADP
easat-10581	205	13	parallel	parallel	ADJ
easat-10581	205	14	processing	processing	NOUN
easat-10581	205	15	during	during	ADP
easat-10581	205	16	the	the	DET
easat-10581	205	17	training	training	NOUN
easat-10581	205	18	phase	phase	NOUN
easat-10581	205	19	.	.	PUNCT
easat-10581	206	1	another	another	DET
easat-10581	206	2	important	important	ADJ
easat-10581	206	3	feature	feature	NOUN
easat-10581	206	4	of	of	ADP
easat-10581	206	5	the	the	DET
easat-10581	206	6	xgboost	xgboost	PROPN
easat-10581	206	7	algorithm	algorithm	PROPN
easat-10581	206	8	is	be	AUX
easat-10581	206	9	the	the	DET
easat-10581	206	10	usage	usage	NOUN
easat-10581	206	11	of	of	ADP
easat-10581	206	12	regularization	regularization	NOUN
easat-10581	206	13	in	in	ADP
easat-10581	206	14	two	two	NUM
easat-10581	206	15	forms	form	NOUN
easat-10581	206	16	:	:	PUNCT
easat-10581	206	17	l1	l1	PROPN
easat-10581	206	18	(	(	PUNCT
easat-10581	206	19	lasso	lasso	PROPN
easat-10581	206	20	)	)	PUNCT
easat-10581	206	21	and	and	CCONJ
easat-10581	206	22	l2	l2	NOUN
easat-10581	206	23	(	(	PUNCT
easat-10581	206	24	ridge	ridge	NOUN
easat-10581	206	25	)	)	PUNCT
easat-10581	206	26	,	,	PUNCT
easat-10581	206	27	restraining	restrain	VERB
easat-10581	206	28	the	the	DET
easat-10581	206	29	complexity	complexity	NOUN
easat-10581	206	30	of	of	ADP
easat-10581	206	31	the	the	DET
easat-10581	206	32	trees	tree	NOUN
easat-10581	206	33	to	to	PART
easat-10581	206	34	avoid	avoid	VERB
easat-10581	206	35	overfitting	overfitte	VERB
easat-10581	206	36	the	the	DET
easat-10581	206	37	training	training	NOUN
easat-10581	206	38	data	datum	NOUN
easat-10581	206	39	.	.	PUNCT
easat-10581	207	1	the	the	DET
easat-10581	207	2	model	model	NOUN
easat-10581	207	3	includes	include	VERB
easat-10581	207	4	several	several	ADJ
easat-10581	207	5	hyperparameters	hyperparameter	NOUN
easat-10581	207	6	(	(	PUNCT
easat-10581	207	7	like	like	ADP
easat-10581	207	8	the	the	DET
easat-10581	207	9	number	number	NOUN
easat-10581	207	10	of	of	ADP
easat-10581	207	11	trees	tree	NOUN
easat-10581	207	12	,	,	PUNCT
easat-10581	207	13	depth	depth	NOUN
easat-10581	207	14	of	of	ADP
easat-10581	207	15	trees	tree	NOUN
easat-10581	207	16	,	,	PUNCT
easat-10581	207	17	and	and	CCONJ
easat-10581	207	18	learning	learn	VERB
easat-10581	207	19	rate	rate	NOUN
easat-10581	207	20	)	)	PUNCT
easat-10581	207	21	,	,	PUNCT
easat-10581	207	22	which	which	PRON
easat-10581	207	23	allow	allow	VERB
easat-10581	207	24	for	for	ADP
easat-10581	207	25	the	the	DET
easat-10581	207	26	adjustment	adjustment	NOUN
easat-10581	207	27	of	of	ADP
easat-10581	207	28	a	a	DET
easat-10581	207	29	balance	balance	NOUN
easat-10581	207	30	among	among	ADP
easat-10581	207	31	accuracy	accuracy	NOUN
easat-10581	207	32	and	and	CCONJ
easat-10581	207	33	computational	computational	ADJ
easat-10581	207	34	complexity	complexity	NOUN
easat-10581	207	35	according	accord	VERB
easat-10581	207	36	to	to	ADP
easat-10581	207	37	the	the	DET
easat-10581	207	38	priorities	priority	NOUN
easat-10581	207	39	of	of	ADP
easat-10581	207	40	the	the	DET
easat-10581	207	41	scenario	scenario	NOUN
easat-10581	207	42	[	[	X
easat-10581	207	43	27	27	NUM
easat-10581	207	44	,	,	PUNCT
easat-10581	207	45	28	28	NUM
easat-10581	207	46	]	]	PUNCT
easat-10581	207	47	.	.	PUNCT
easat-10581	208	1	3.2.4	3.2.4	NUM
easat-10581	208	2	.	.	PUNCT
easat-10581	208	3	lightgbm	lightgbm	VERB
easat-10581	208	4	the	the	DET
easat-10581	208	5	lightgbm	lightgbm	ADJ
easat-10581	208	6	algorithm	algorithm	NOUN
easat-10581	208	7	is	be	AUX
easat-10581	208	8	another	another	DET
easat-10581	208	9	gradient	gradient	NOUN
easat-10581	208	10	boosting	boost	VERB
easat-10581	208	11	ensemble	ensemble	ADJ
easat-10581	208	12	method	method	NOUN
easat-10581	208	13	that	that	PRON
easat-10581	208	14	is	be	AUX
easat-10581	208	15	devised	devise	VERB
easat-10581	208	16	focusing	focus	VERB
easat-10581	208	17	on	on	ADP
easat-10581	208	18	being	be	AUX
easat-10581	208	19	light	light	ADJ
easat-10581	208	20	in	in	ADP
easat-10581	208	21	terms	term	NOUN
easat-10581	208	22	of	of	ADP
easat-10581	208	23	memory	memory	NOUN
easat-10581	208	24	usage	usage	NOUN
easat-10581	208	25	and	and	CCONJ
easat-10581	208	26	computational	computational	ADJ
easat-10581	208	27	complexity	complexity	NOUN
easat-10581	208	28	,	,	PUNCT
easat-10581	208	29	typically	typically	ADV
easat-10581	208	30	being	be	AUX
easat-10581	208	31	faster	fast	ADV
easat-10581	208	32	compared	compare	VERB
easat-10581	208	33	to	to	ADP
easat-10581	208	34	other	other	ADJ
easat-10581	208	35	ensemble	ensemble	ADJ
easat-10581	208	36	methods	method	NOUN
easat-10581	208	37	.	.	PUNCT
easat-10581	209	1	the	the	DET
easat-10581	209	2	central	central	ADJ
easat-10581	209	3	idea	idea	NOUN
easat-10581	209	4	here	here	ADV
easat-10581	209	5	is	be	AUX
easat-10581	209	6	still	still	ADV
easat-10581	209	7	the	the	DET
easat-10581	209	8	construction	construction	NOUN
easat-10581	209	9	of	of	ADP
easat-10581	209	10	multiple	multiple	ADJ
easat-10581	209	11	base	base	NOUN
easat-10581	209	12	learners	learner	NOUN
easat-10581	209	13	,	,	PUNCT
easat-10581	209	14	where	where	SCONJ
easat-10581	209	15	the	the	DET
easat-10581	209	16	trees	tree	NOUN
easat-10581	209	17	are	be	AUX
easat-10581	209	18	constructed	construct	VERB
easat-10581	209	19	in	in	ADP
easat-10581	209	20	an	an	DET
easat-10581	209	21	iterative	iterative	ADJ
easat-10581	209	22	way	way	NOUN
easat-10581	209	23	,	,	PUNCT
easat-10581	209	24	each	each	DET
easat-10581	209	25	tree	tree	NOUN
easat-10581	209	26	focusing	focus	VERB
easat-10581	209	27	on	on	ADP
easat-10581	209	28	rectifying	rectify	VERB
easat-10581	209	29	the	the	DET
easat-10581	209	30	errors	error	NOUN
easat-10581	209	31	made	make	VERB
easat-10581	209	32	by	by	ADP
easat-10581	209	33	1000	1000	NUM
easat-10581	209	34	edelweiss	edelweiss	PROPN
easat-10581	209	35	applied	apply	VERB
easat-10581	209	36	science	science	NOUN
easat-10581	209	37	and	and	CCONJ
easat-10581	209	38	technology	technology	NOUN
easat-10581	209	39	issn	issn	PROPN
easat-10581	209	40	:	:	PUNCT
easat-10581	209	41	2576	2576	NUM
easat-10581	209	42	-	-	SYM
easat-10581	209	43	8484	8484	NUM
easat-10581	209	44	vol	vol	NOUN
easat-10581	209	45	.	.	PROPN
easat-10581	210	1	9	9	NUM
easat-10581	210	2	,	,	PUNCT
easat-10581	210	3	no	no	INTJ
easat-10581	210	4	.	.	NOUN
easat-10581	210	5	10	10	NUM
easat-10581	210	6	:	:	PUNCT
easat-10581	210	7	992	992	NUM
easat-10581	210	8	-	-	SYM
easat-10581	210	9	1004	1004	NUM
easat-10581	210	10	,	,	PUNCT
easat-10581	210	11	2025	2025	NUM
easat-10581	210	12	doi	doi	NOUN
easat-10581	210	13	:	:	PUNCT
easat-10581	210	14	10.55214/2576	10.55214/2576	NUM
easat-10581	210	15	-	-	SYM
easat-10581	210	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	210	17	©	©	ADP
easat-10581	210	18	2025	2025	NUM
easat-10581	210	19	by	by	ADP
easat-10581	210	20	the	the	DET
easat-10581	210	21	authors	author	NOUN
easat-10581	210	22	;	;	PUNCT
easat-10581	210	23	licensee	licensee	PROPN
easat-10581	210	24	learning	learning	NOUN
easat-10581	210	25	gate	gate	VERB
easat-10581	210	26	the	the	DET
easat-10581	210	27	previous	previous	ADJ
easat-10581	210	28	one	one	NOUN
easat-10581	210	29	,	,	PUNCT
easat-10581	210	30	via	via	ADP
easat-10581	210	31	optimization	optimization	NOUN
easat-10581	210	32	of	of	ADP
easat-10581	210	33	a	a	DET
easat-10581	210	34	specific	specific	ADJ
easat-10581	210	35	loss	loss	NOUN
easat-10581	210	36	function	function	NOUN
easat-10581	210	37	.	.	PUNCT
easat-10581	211	1	the	the	DET
easat-10581	211	2	central	central	ADJ
easat-10581	211	3	mechanism	mechanism	NOUN
easat-10581	211	4	is	be	AUX
easat-10581	211	5	a	a	DET
easat-10581	211	6	histogrambased	histogrambased	ADJ
easat-10581	211	7	algorithm	algorithm	NOUN
easat-10581	211	8	that	that	PRON
easat-10581	211	9	splits	split	VERB
easat-10581	211	10	the	the	DET
easat-10581	211	11	data	datum	NOUN
easat-10581	211	12	more	more	ADV
easat-10581	211	13	efficiently	efficiently	ADV
easat-10581	211	14	,	,	PUNCT
easat-10581	211	15	reducing	reduce	VERB
easat-10581	211	16	the	the	DET
easat-10581	211	17	memory	memory	NOUN
easat-10581	211	18	usage	usage	NOUN
easat-10581	211	19	and	and	CCONJ
easat-10581	211	20	computation	computation	NOUN
easat-10581	211	21	time	time	NOUN
easat-10581	211	22	[	[	X
easat-10581	211	23	29	29	NUM
easat-10581	211	24	]	]	PUNCT
easat-10581	211	25	.	.	PUNCT
easat-10581	212	1	one	one	NUM
easat-10581	212	2	of	of	ADP
easat-10581	212	3	the	the	DET
easat-10581	212	4	distinctive	distinctive	ADJ
easat-10581	212	5	operational	operational	ADJ
easat-10581	212	6	features	feature	NOUN
easat-10581	212	7	of	of	ADP
easat-10581	212	8	lightgmb	lightgmb	PROPN
easat-10581	212	9	is	be	AUX
easat-10581	212	10	its	its	PRON
easat-10581	212	11	leaf	leaf	NOUN
easat-10581	212	12	-	-	PUNCT
easat-10581	212	13	wise	wise	ADJ
easat-10581	212	14	growth	growth	NOUN
easat-10581	212	15	approach	approach	NOUN
easat-10581	212	16	.	.	PUNCT
easat-10581	213	1	while	while	SCONJ
easat-10581	213	2	other	other	ADJ
easat-10581	213	3	boosting	boost	VERB
easat-10581	213	4	algorithms	algorithm	NOUN
easat-10581	213	5	grow	grow	VERB
easat-10581	213	6	the	the	DET
easat-10581	213	7	decision	decision	NOUN
easat-10581	213	8	tree	tree	NOUN
easat-10581	213	9	level	level	NOUN
easat-10581	213	10	by	by	ADP
easat-10581	213	11	level	level	NOUN
easat-10581	213	12	,	,	PUNCT
easat-10581	213	13	lightgbm	lightgbm	X
easat-10581	213	14	grows	grow	VERB
easat-10581	213	15	leaf	leaf	NOUN
easat-10581	213	16	-	-	PUNCT
easat-10581	213	17	wise	wise	ADJ
easat-10581	213	18	,	,	PUNCT
easat-10581	213	19	expanding	expand	VERB
easat-10581	213	20	the	the	DET
easat-10581	213	21	most	most	ADV
easat-10581	213	22	promising	promising	ADJ
easat-10581	213	23	leaves	leave	NOUN
easat-10581	213	24	to	to	PART
easat-10581	213	25	reduce	reduce	VERB
easat-10581	213	26	the	the	DET
easat-10581	213	27	loss	loss	NOUN
easat-10581	213	28	function	function	NOUN
easat-10581	213	29	.	.	PUNCT
easat-10581	214	1	consequently	consequently	ADV
easat-10581	214	2	,	,	PUNCT
easat-10581	214	3	the	the	DET
easat-10581	214	4	generated	generate	VERB
easat-10581	214	5	trees	tree	NOUN
easat-10581	214	6	have	have	VERB
easat-10581	214	7	a	a	DET
easat-10581	214	8	larger	large	ADJ
easat-10581	214	9	depth	depth	NOUN
easat-10581	214	10	and	and	CCONJ
easat-10581	214	11	are	be	AUX
easat-10581	214	12	typically	typically	ADV
easat-10581	214	13	more	more	ADV
easat-10581	214	14	complex	complex	ADJ
easat-10581	214	15	,	,	PUNCT
easat-10581	214	16	improving	improve	VERB
easat-10581	214	17	performance	performance	NOUN
easat-10581	214	18	measures	measure	NOUN
easat-10581	214	19	such	such	ADJ
easat-10581	214	20	as	as	ADP
easat-10581	214	21	accuracy	accuracy	NOUN
easat-10581	214	22	.	.	PUNCT
easat-10581	215	1	however	however	ADV
easat-10581	215	2	,	,	PUNCT
easat-10581	215	3	this	this	DET
easat-10581	215	4	approach	approach	NOUN
easat-10581	215	5	involves	involve	VERB
easat-10581	215	6	an	an	DET
easat-10581	215	7	increased	increase	VERB
easat-10581	215	8	risk	risk	NOUN
easat-10581	215	9	of	of	ADP
easat-10581	215	10	overfitting	overfitting	NOUN
easat-10581	215	11	,	,	PUNCT
easat-10581	215	12	which	which	PRON
easat-10581	215	13	is	be	AUX
easat-10581	215	14	typically	typically	ADV
easat-10581	215	15	handled	handle	VERB
easat-10581	215	16	using	use	VERB
easat-10581	215	17	parameters	parameter	NOUN
easat-10581	215	18	such	such	ADJ
easat-10581	215	19	as	as	ADP
easat-10581	215	20	max_depth	max_depth	NOUN
easat-10581	215	21	to	to	PART
easat-10581	215	22	control	control	VERB
easat-10581	215	23	the	the	DET
easat-10581	215	24	growth	growth	NOUN
easat-10581	215	25	of	of	ADP
easat-10581	215	26	the	the	DET
easat-10581	215	27	tree	tree	NOUN
easat-10581	215	28	by	by	ADP
easat-10581	215	29	limiting	limit	VERB
easat-10581	215	30	the	the	DET
easat-10581	215	31	largest	large	ADJ
easat-10581	215	32	depth	depth	NOUN
easat-10581	215	33	it	it	PRON
easat-10581	215	34	can	can	AUX
easat-10581	215	35	achieve	achieve	VERB
easat-10581	215	36	[	[	PUNCT
easat-10581	215	37	30	30	NUM
easat-10581	215	38	]	]	PUNCT
easat-10581	215	39	.	.	PUNCT
easat-10581	216	1	for	for	ADP
easat-10581	216	2	each	each	PRON
easat-10581	216	3	of	of	ADP
easat-10581	216	4	the	the	DET
easat-10581	216	5	aforementioned	aforementioned	ADJ
easat-10581	216	6	classification	classification	NOUN
easat-10581	216	7	models	model	NOUN
easat-10581	216	8	,	,	PUNCT
easat-10581	216	9	several	several	ADJ
easat-10581	216	10	parameters	parameter	NOUN
easat-10581	216	11	can	can	AUX
easat-10581	216	12	be	be	AUX
easat-10581	216	13	controlled	control	VERB
easat-10581	216	14	.	.	PUNCT
easat-10581	217	1	in	in	ADP
easat-10581	217	2	our	our	PRON
easat-10581	217	3	application	application	NOUN
easat-10581	217	4	,	,	PUNCT
easat-10581	217	5	the	the	DET
easat-10581	217	6	gridsearchcv	gridsearchcv	NOUN
easat-10581	217	7	utility	utility	NOUN
easat-10581	217	8	is	be	AUX
easat-10581	217	9	employed	employ	VERB
easat-10581	217	10	to	to	PART
easat-10581	217	11	determine	determine	VERB
easat-10581	217	12	the	the	DET
easat-10581	217	13	best	good	ADJ
easat-10581	217	14	combination	combination	NOUN
easat-10581	217	15	of	of	ADP
easat-10581	217	16	the	the	DET
easat-10581	217	17	primary	primary	ADJ
easat-10581	217	18	parameters	parameter	NOUN
easat-10581	217	19	.	.	PUNCT
easat-10581	218	1	this	this	DET
easat-10581	218	2	utility	utility	NOUN
easat-10581	218	3	is	be	AUX
easat-10581	218	4	a	a	DET
easat-10581	218	5	hyperparameter	hyperparameter	NOUN
easat-10581	218	6	tuning	tuning	NOUN
easat-10581	218	7	technique	technique	NOUN
easat-10581	218	8	that	that	PRON
easat-10581	218	9	systematically	systematically	ADV
easat-10581	218	10	checks	check	VERB
easat-10581	218	11	all	all	DET
easat-10581	218	12	the	the	DET
easat-10581	218	13	possible	possible	ADJ
easat-10581	218	14	combinations	combination	NOUN
easat-10581	218	15	from	from	ADP
easat-10581	218	16	a	a	DET
easat-10581	218	17	predefined	predefine	VERB
easat-10581	218	18	set	set	NOUN
easat-10581	218	19	of	of	ADP
easat-10581	218	20	candidate	candidate	NOUN
easat-10581	218	21	values	value	NOUN
easat-10581	218	22	for	for	ADP
easat-10581	218	23	the	the	DET
easat-10581	218	24	parameters	parameter	NOUN
easat-10581	218	25	.	.	PUNCT
easat-10581	219	1	this	this	DET
easat-10581	219	2	technique	technique	NOUN
easat-10581	219	3	practically	practically	ADV
easat-10581	219	4	trains	train	VERB
easat-10581	219	5	the	the	DET
easat-10581	219	6	model	model	NOUN
easat-10581	219	7	and	and	CCONJ
easat-10581	219	8	assesses	assess	VERB
easat-10581	219	9	its	its	PRON
easat-10581	219	10	performance	performance	NOUN
easat-10581	219	11	via	via	ADP
easat-10581	219	12	cross	cross	NOUN
easat-10581	219	13	-	-	NOUN
easat-10581	219	14	validation	validation	ADJ
easat-10581	219	15	,	,	PUNCT
easat-10581	219	16	taking	take	VERB
easat-10581	219	17	the	the	DET
easat-10581	219	18	average	average	ADJ
easat-10581	219	19	performance	performance	NOUN
easat-10581	219	20	among	among	ADP
easat-10581	219	21	the	the	DET
easat-10581	219	22	folds	fold	NOUN
easat-10581	219	23	as	as	ADP
easat-10581	219	24	the	the	DET
easat-10581	219	25	final	final	ADJ
easat-10581	219	26	result	result	NOUN
easat-10581	219	27	.	.	PUNCT
easat-10581	220	1	table	table	NOUN
easat-10581	220	2	2	2	NUM
easat-10581	220	3	summarizes	summarize	NOUN
easat-10581	220	4	the	the	DET
easat-10581	220	5	main	main	ADJ
easat-10581	220	6	parameters	parameter	NOUN
easat-10581	220	7	and	and	CCONJ
easat-10581	220	8	their	their	PRON
easat-10581	220	9	respective	respective	ADJ
easat-10581	220	10	values	value	NOUN
easat-10581	220	11	for	for	ADP
easat-10581	220	12	each	each	DET
easat-10581	220	13	classification	classification	NOUN
easat-10581	220	14	model	model	NOUN
easat-10581	220	15	.	.	PUNCT
easat-10581	221	1	table	table	NOUN
easat-10581	221	2	2	2	NUM
easat-10581	221	3	.	.	PUNCT
easat-10581	221	4	main	main	ADJ
easat-10581	221	5	parameters	parameter	NOUN
easat-10581	221	6	for	for	ADP
easat-10581	221	7	the	the	DET
easat-10581	221	8	classification	classification	NOUN
easat-10581	221	9	models	model	NOUN
easat-10581	221	10	classification	classification	NOUN
easat-10581	221	11	model	model	NOUN
easat-10581	221	12	parameter	parameter	NOUN
easat-10581	221	13	1	1	NUM
easat-10581	221	14	name	name	NOUN
easat-10581	221	15	&	&	CCONJ
easat-10581	221	16	value	value	NOUN
easat-10581	221	17	parameter	parameter	NOUN
easat-10581	221	18	2	2	NUM
easat-10581	221	19	name	name	NOUN
easat-10581	221	20	&	&	CCONJ
easat-10581	221	21	value	value	NOUN
easat-10581	221	22	parameter	parameter	NOUN
easat-10581	221	23	3	3	NUM
easat-10581	221	24	name	name	NOUN
easat-10581	221	25	&	&	CCONJ
easat-10581	221	26	value	value	PROPN
easat-10581	221	27	naïve	naïve	ADJ
easat-10581	221	28	bayes	bayes	NOUN
easat-10581	221	29	alpha	alpha	NOUN
easat-10581	221	30	=	=	PUNCT
easat-10581	221	31	1.0	1.0	NUM
easat-10581	221	32	fit_prior	fit_prior	NOUN
easat-10581	221	33	=	=	SYM
easat-10581	221	34	true	true	ADJ
easat-10581	221	35	class_prior	class_prior	ADJ
easat-10581	221	36	=	=	NOUN
easat-10581	221	37	none	none	NOUN
easat-10581	221	38	random	random	ADJ
easat-10581	221	39	forest	forest	NOUN
easat-10581	221	40	n_estimators	n_estimator	NOUN
easat-10581	221	41	=	=	SYM
easat-10581	221	42	50	50	NUM
easat-10581	221	43	max_depth	max_depth	NOUN
easat-10581	221	44	=	=	SYM
easat-10581	221	45	10	10	NUM
easat-10581	221	46	min_samples_leaf	min_samples_leaf	NOUN
easat-10581	221	47	=	=	NOUN
easat-10581	221	48	5	5	NUM
easat-10581	221	49	xgboost	xgboost	NOUN
easat-10581	222	1	learning_rate	learning_rate	ADJ
easat-10581	222	2	=	=	SYM
easat-10581	222	3	0.1	0.1	NUM
easat-10581	222	4	n_estimators	n_estimator	NOUN
easat-10581	222	5	=	=	SYM
easat-10581	222	6	200	200	NUM
easat-10581	222	7	max_depth	max_depth	NOUN
easat-10581	222	8	=	=	SYM
easat-10581	222	9	5	5	NUM
easat-10581	222	10	lightgbm	lightgbm	VERB
easat-10581	222	11	n_estimators	n_estimator	NOUN
easat-10581	222	12	=	=	SYM
easat-10581	222	13	100	100	NUM
easat-10581	222	14	num_leaves	num_leave	NOUN
easat-10581	222	15	=	=	SYM
easat-10581	222	16	50	50	NUM
easat-10581	222	17	subsample	subsample	NOUN
easat-10581	222	18	=	=	NOUN
easat-10581	222	19	0.7	0.7	NUM
easat-10581	222	20	4	4	NUM
easat-10581	222	21	.	.	PUNCT
easat-10581	222	22	results	result	NOUN
easat-10581	222	23	as	as	SCONJ
easat-10581	222	24	described	describe	VERB
easat-10581	222	25	in	in	ADP
easat-10581	222	26	the	the	DET
easat-10581	222	27	methodology	methodology	NOUN
easat-10581	222	28	section	section	NOUN
easat-10581	222	29	,	,	PUNCT
easat-10581	222	30	first	first	ADV
easat-10581	222	31	,	,	PUNCT
easat-10581	222	32	the	the	DET
easat-10581	222	33	data	data	NOUN
easat-10581	222	34	collection	collection	NOUN
easat-10581	222	35	and	and	CCONJ
easat-10581	222	36	data	datum	NOUN
easat-10581	222	37	preprocessing	preprocessing	NOUN
easat-10581	222	38	stages	stage	NOUN
easat-10581	222	39	are	be	AUX
easat-10581	222	40	carried	carry	VERB
easat-10581	222	41	out	out	ADP
easat-10581	222	42	.	.	PUNCT
easat-10581	223	1	data	datum	NOUN
easat-10581	223	2	collection	collection	NOUN
easat-10581	223	3	was	be	AUX
easat-10581	223	4	implemented	implement	VERB
easat-10581	223	5	via	via	ADP
easat-10581	223	6	web	web	NOUN
easat-10581	223	7	scraping	scraping	NOUN
easat-10581	223	8	,	,	PUNCT
easat-10581	223	9	initially	initially	ADV
easat-10581	223	10	collecting	collect	VERB
easat-10581	223	11	a	a	DET
easat-10581	223	12	large	large	ADJ
easat-10581	223	13	base	base	NOUN
easat-10581	223	14	of	of	ADP
easat-10581	223	15	news	news	NOUN
easat-10581	223	16	from	from	ADP
easat-10581	223	17	albanian	albanian	ADJ
easat-10581	223	18	news	news	NOUN
easat-10581	223	19	portals	portal	NOUN
easat-10581	223	20	.	.	PUNCT
easat-10581	224	1	then	then	ADV
easat-10581	224	2	,	,	PUNCT
easat-10581	224	3	an	an	DET
easat-10581	224	4	intensive	intensive	ADJ
easat-10581	224	5	preprocessing	preprocessing	NOUN
easat-10581	224	6	stage	stage	NOUN
easat-10581	224	7	involving	involve	VERB
easat-10581	224	8	data	datum	NOUN
easat-10581	224	9	filtering	filtering	NOUN
easat-10581	224	10	,	,	PUNCT
easat-10581	224	11	text	text	NOUN
easat-10581	224	12	processing	processing	NOUN
easat-10581	224	13	,	,	PUNCT
easat-10581	224	14	and	and	CCONJ
easat-10581	224	15	data	datum	NOUN
easat-10581	224	16	refinement	refinement	NOUN
easat-10581	224	17	was	be	AUX
easat-10581	224	18	implemented	implement	VERB
easat-10581	224	19	.	.	PUNCT
easat-10581	225	1	the	the	DET
easat-10581	225	2	outcome	outcome	NOUN
easat-10581	225	3	of	of	ADP
easat-10581	225	4	this	this	DET
easat-10581	225	5	stage	stage	NOUN
easat-10581	225	6	will	will	AUX
easat-10581	225	7	be	be	AUX
easat-10581	225	8	a	a	DET
easat-10581	225	9	cleaned	clean	VERB
easat-10581	225	10	tabular	tabular	NOUN
easat-10581	225	11	dataset	dataset	NOUN
easat-10581	225	12	,	,	PUNCT
easat-10581	225	13	with	with	ADP
easat-10581	225	14	each	each	DET
easat-10581	225	15	row	row	NOUN
easat-10581	225	16	corresponding	correspond	VERB
easat-10581	225	17	to	to	ADP
easat-10581	225	18	a	a	DET
easat-10581	225	19	particular	particular	ADJ
easat-10581	225	20	accident	accident	NOUN
easat-10581	225	21	containing	contain	VERB
easat-10581	225	22	features	feature	NOUN
easat-10581	225	23	such	such	ADJ
easat-10581	225	24	as	as	ADP
easat-10581	225	25	date	date	NOUN
easat-10581	225	26	,	,	PUNCT
easat-10581	225	27	region	region	NOUN
easat-10581	225	28	,	,	PUNCT
easat-10581	225	29	location	location	NOUN
easat-10581	225	30	,	,	PUNCT
easat-10581	225	31	injured	injure	VERB
easat-10581	225	32	,	,	PUNCT
easat-10581	225	33	dead	dead	ADJ
easat-10581	225	34	,	,	PUNCT
easat-10581	225	35	involved	involved	ADJ
easat-10581	225	36	cars	car	NOUN
easat-10581	225	37	,	,	PUNCT
easat-10581	225	38	cause	cause	NOUN
easat-10581	225	39	,	,	PUNCT
easat-10581	225	40	gender	gender	NOUN
easat-10581	225	41	,	,	PUNCT
easat-10581	225	42	road	road	NOUN
easat-10581	225	43	type	type	NOUN
easat-10581	225	44	,	,	PUNCT
easat-10581	225	45	relevance	relevance	NOUN
easat-10581	225	46	score	score	NOUN
easat-10581	225	47	,	,	PUNCT
easat-10581	225	48	and	and	CCONJ
easat-10581	225	49	gravity	gravity	NOUN
easat-10581	225	50	.	.	PUNCT
easat-10581	226	1	an	an	DET
easat-10581	226	2	overview	overview	NOUN
easat-10581	226	3	of	of	ADP
easat-10581	226	4	this	this	DET
easat-10581	226	5	table	table	NOUN
easat-10581	226	6	is	be	AUX
easat-10581	226	7	provided	provide	VERB
easat-10581	226	8	in	in	ADP
easat-10581	226	9	figure	figure	NOUN
easat-10581	226	10	3	3	NUM
easat-10581	226	11	.	.	PUNCT
easat-10581	227	1	after	after	ADP
easat-10581	227	2	the	the	DET
easat-10581	227	3	second	second	ADJ
easat-10581	227	4	phase	phase	NOUN
easat-10581	227	5	,	,	PUNCT
easat-10581	227	6	four	four	NUM
easat-10581	227	7	classification	classification	NOUN
easat-10581	227	8	models	model	NOUN
easat-10581	227	9	are	be	AUX
easat-10581	227	10	applied	apply	VERB
easat-10581	227	11	to	to	ADP
easat-10581	227	12	the	the	DET
easat-10581	227	13	preprocessed	preprocesse	VERB
easat-10581	227	14	data	datum	NOUN
easat-10581	227	15	:	:	PUNCT
easat-10581	227	16	naïve	naïve	ADJ
easat-10581	227	17	bayes	bayes	NOUN
easat-10581	227	18	,	,	PUNCT
easat-10581	227	19	random	random	ADJ
easat-10581	227	20	forests	forest	NOUN
easat-10581	227	21	,	,	PUNCT
easat-10581	227	22	xgboost	xgboost	ADV
easat-10581	227	23	,	,	PUNCT
easat-10581	227	24	and	and	CCONJ
easat-10581	227	25	lightgbm	lightgbm	ADJ
easat-10581	227	26	.	.	PUNCT
easat-10581	228	1	for	for	ADP
easat-10581	228	2	each	each	DET
easat-10581	228	3	algorithm	algorithm	NOUN
easat-10581	228	4	,	,	PUNCT
easat-10581	228	5	the	the	DET
easat-10581	228	6	dataset	dataset	NOUN
easat-10581	228	7	is	be	AUX
easat-10581	228	8	first	first	ADV
easat-10581	228	9	randomly	randomly	ADV
easat-10581	228	10	split	split	VERB
easat-10581	228	11	into	into	ADP
easat-10581	228	12	training	training	NOUN
easat-10581	228	13	and	and	CCONJ
easat-10581	228	14	testing	testing	NOUN
easat-10581	228	15	data	datum	NOUN
easat-10581	228	16	,	,	PUNCT
easat-10581	228	17	with	with	ADP
easat-10581	228	18	the	the	DET
easat-10581	228	19	classification	classification	NOUN
easat-10581	228	20	model	model	NOUN
easat-10581	228	21	being	be	AUX
easat-10581	228	22	built	build	VERB
easat-10581	228	23	relying	rely	VERB
easat-10581	228	24	solely	solely	ADV
easat-10581	228	25	on	on	ADP
easat-10581	228	26	the	the	DET
easat-10581	228	27	training	training	NOUN
easat-10581	228	28	data	datum	NOUN
easat-10581	228	29	.	.	PUNCT
easat-10581	229	1	the	the	DET
easat-10581	229	2	target	target	NOUN
easat-10581	229	3	attribute	attribute	NOUN
easat-10581	229	4	of	of	ADP
easat-10581	229	5	these	these	DET
easat-10581	229	6	classification	classification	NOUN
easat-10581	229	7	models	model	NOUN
easat-10581	229	8	in	in	ADP
easat-10581	229	9	all	all	DET
easat-10581	229	10	cases	case	NOUN
easat-10581	229	11	is	be	AUX
easat-10581	229	12	the	the	DET
easat-10581	229	13	gravity	gravity	NOUN
easat-10581	229	14	scale	scale	NOUN
easat-10581	229	15	of	of	ADP
easat-10581	229	16	the	the	DET
easat-10581	229	17	accident	accident	NOUN
easat-10581	229	18	.	.	PUNCT
easat-10581	230	1	the	the	DET
easat-10581	230	2	generated	generate	VERB
easat-10581	230	3	classification	classification	NOUN
easat-10581	230	4	models	model	NOUN
easat-10581	230	5	are	be	AUX
easat-10581	230	6	then	then	ADV
easat-10581	230	7	applied	apply	VERB
easat-10581	230	8	to	to	ADP
easat-10581	230	9	the	the	DET
easat-10581	230	10	test	test	NOUN
easat-10581	230	11	data	datum	NOUN
easat-10581	230	12	to	to	PART
easat-10581	230	13	assess	assess	VERB
easat-10581	230	14	their	their	PRON
easat-10581	230	15	performance	performance	NOUN
easat-10581	230	16	.	.	PUNCT
easat-10581	231	1	the	the	DET
easat-10581	231	2	employed	employ	VERB
easat-10581	231	3	performance	performance	NOUN
easat-10581	231	4	measures	measure	NOUN
easat-10581	231	5	are	be	AUX
easat-10581	231	6	accuracy	accuracy	NOUN
easat-10581	231	7	,	,	PUNCT
easat-10581	231	8	precision	precision	NOUN
easat-10581	231	9	,	,	PUNCT
easat-10581	231	10	recall	recall	NOUN
easat-10581	231	11	,	,	PUNCT
easat-10581	231	12	and	and	CCONJ
easat-10581	231	13	logarithmic	logarithmic	ADJ
easat-10581	231	14	loss	loss	NOUN
easat-10581	231	15	.	.	PUNCT
easat-10581	232	1	the	the	DET
easat-10581	232	2	results	result	NOUN
easat-10581	232	3	of	of	ADP
easat-10581	232	4	these	these	DET
easat-10581	232	5	evaluations	evaluation	NOUN
easat-10581	232	6	are	be	AUX
easat-10581	232	7	summarized	summarize	VERB
easat-10581	232	8	in	in	ADP
easat-10581	232	9	table	table	NOUN
easat-10581	232	10	3	3	NUM
easat-10581	232	11	.	.	X
easat-10581	232	12	1001	1001	NUM
easat-10581	233	1	edelweiss	edelweiss	PROPN
easat-10581	233	2	applied	apply	VERB
easat-10581	233	3	science	science	NOUN
easat-10581	233	4	and	and	CCONJ
easat-10581	233	5	technology	technology	NOUN
easat-10581	233	6	issn	issn	PROPN
easat-10581	233	7	:	:	PUNCT
easat-10581	233	8	2576	2576	NUM
easat-10581	233	9	-	-	SYM
easat-10581	233	10	8484	8484	NUM
easat-10581	233	11	vol	vol	NOUN
easat-10581	233	12	.	.	PROPN
easat-10581	234	1	9	9	NUM
easat-10581	234	2	,	,	PUNCT
easat-10581	234	3	no	no	INTJ
easat-10581	234	4	.	.	NOUN
easat-10581	234	5	10	10	NUM
easat-10581	234	6	:	:	PUNCT
easat-10581	234	7	992	992	NUM
easat-10581	234	8	-	-	SYM
easat-10581	234	9	1004	1004	NUM
easat-10581	234	10	,	,	PUNCT
easat-10581	234	11	2025	2025	NUM
easat-10581	234	12	doi	doi	NOUN
easat-10581	234	13	:	:	PUNCT
easat-10581	234	14	10.55214/2576	10.55214/2576	NUM
easat-10581	234	15	-	-	SYM
easat-10581	234	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	234	17	©	©	ADP
easat-10581	234	18	2025	2025	NUM
easat-10581	234	19	by	by	ADP
easat-10581	234	20	the	the	DET
easat-10581	234	21	authors	author	NOUN
easat-10581	234	22	;	;	PUNCT
easat-10581	234	23	licensee	licensee	PROPN
easat-10581	234	24	learning	learn	VERB
easat-10581	234	25	gate	gate	PROPN
easat-10581	234	26	figure	figure	NOUN
easat-10581	234	27	3	3	NUM
easat-10581	234	28	.	.	NOUN
easat-10581	234	29	overview	overview	NOUN
easat-10581	234	30	of	of	ADP
easat-10581	234	31	the	the	DET
easat-10581	234	32	preprocessing	preprocessing	NOUN
easat-10581	234	33	stage	stage	NOUN
easat-10581	234	34	results	result	NOUN
easat-10581	234	35	.	.	PUNCT
easat-10581	235	1	table	table	NOUN
easat-10581	235	2	3	3	NUM
easat-10581	235	3	.	.	PUNCT
easat-10581	235	4	performance	performance	NOUN
easat-10581	235	5	evaluation	evaluation	NOUN
easat-10581	235	6	of	of	ADP
easat-10581	235	7	the	the	DET
easat-10581	235	8	classification	classification	NOUN
easat-10581	235	9	models	model	NOUN
easat-10581	235	10	.	.	PUNCT
easat-10581	236	1	classification	classification	NOUN
easat-10581	236	2	model	model	NOUN
easat-10581	236	3	accuracy	accuracy	NOUN
easat-10581	236	4	precision	precision	NOUN
easat-10581	236	5	recall	recall	VERB
easat-10581	236	6	logarithmic	logarithmic	ADJ
easat-10581	236	7	loss	loss	NOUN
easat-10581	236	8	naïve	naïve	ADJ
easat-10581	236	9	bayes	bayes	NOUN
easat-10581	236	10	0.77	0.77	NUM
easat-10581	236	11	0.78	0.78	NUM
easat-10581	236	12	0.76	0.76	NUM
easat-10581	236	13	0.09	0.09	NUM
easat-10581	236	14	random	random	ADJ
easat-10581	236	15	forest	forest	NOUN
easat-10581	236	16	0.81	0.81	NUM
easat-10581	236	17	0.80	0.80	NUM
easat-10581	236	18	0.82	0.82	NUM
easat-10581	236	19	0.075	0.075	NUM
easat-10581	236	20	xgboost	xgboost	ADV
easat-10581	236	21	0.84	0.84	NUM
easat-10581	236	22	0.83	0.83	NUM
easat-10581	236	23	0.84	0.84	NUM
easat-10581	236	24	0.05	0.05	NUM
easat-10581	236	25	lightgbm	lightgbm	VERB
easat-10581	236	26	0.85	0.85	NUM
easat-10581	236	27	0.85	0.85	NUM
easat-10581	236	28	0.86	0.86	NUM
easat-10581	236	29	0.045	0.045	NUM
easat-10581	236	30	for	for	ADP
easat-10581	236	31	each	each	DET
easat-10581	236	32	classification	classification	NOUN
easat-10581	236	33	model	model	NOUN
easat-10581	236	34	,	,	PUNCT
easat-10581	236	35	the	the	DET
easat-10581	236	36	preprocessed	preprocesse	VERB
easat-10581	236	37	dataset	dataset	NOUN
easat-10581	236	38	was	be	AUX
easat-10581	236	39	randomly	randomly	ADV
easat-10581	236	40	split	split	VERB
easat-10581	236	41	into	into	ADP
easat-10581	236	42	training	training	NOUN
easat-10581	236	43	and	and	CCONJ
easat-10581	236	44	testing	testing	NOUN
easat-10581	236	45	datasets	dataset	NOUN
easat-10581	236	46	at	at	ADP
easat-10581	236	47	a	a	DET
easat-10581	236	48	ratio	ratio	NOUN
easat-10581	236	49	of	of	ADP
easat-10581	236	50	80	80	NUM
easat-10581	236	51	%	%	NOUN
easat-10581	236	52	training–20	training–20	NOUN
easat-10581	236	53	%	%	NOUN
easat-10581	236	54	testing	testing	NOUN
easat-10581	236	55	,	,	PUNCT
easat-10581	236	56	and	and	CCONJ
easat-10581	236	57	this	this	DET
easat-10581	236	58	routine	routine	NOUN
easat-10581	236	59	was	be	AUX
easat-10581	236	60	repeated	repeat	VERB
easat-10581	236	61	200	200	NUM
easat-10581	236	62	times	time	NOUN
easat-10581	236	63	.	.	PUNCT
easat-10581	237	1	the	the	DET
easat-10581	237	2	values	value	NOUN
easat-10581	237	3	of	of	ADP
easat-10581	237	4	the	the	DET
easat-10581	237	5	performance	performance	NOUN
easat-10581	237	6	measures	measure	NOUN
easat-10581	237	7	(	(	PUNCT
easat-10581	237	8	accuracy	accuracy	NOUN
easat-10581	237	9	,	,	PUNCT
easat-10581	237	10	precision	precision	NOUN
easat-10581	237	11	,	,	PUNCT
easat-10581	237	12	recall	recall	NOUN
easat-10581	237	13	,	,	PUNCT
easat-10581	237	14	and	and	CCONJ
easat-10581	237	15	logarithmic	logarithmic	ADJ
easat-10581	237	16	loss	loss	NOUN
easat-10581	237	17	)	)	PUNCT
easat-10581	237	18	summarized	summarize	VERB
easat-10581	237	19	in	in	ADP
easat-10581	237	20	the	the	DET
easat-10581	237	21	given	give	VERB
easat-10581	237	22	table	table	NOUN
easat-10581	237	23	represent	represent	VERB
easat-10581	237	24	the	the	DET
easat-10581	237	25	geometric	geometric	ADJ
easat-10581	237	26	averages	average	NOUN
easat-10581	237	27	of	of	ADP
easat-10581	237	28	these	these	DET
easat-10581	237	29	200	200	NUM
easat-10581	237	30	executions	execution	NOUN
easat-10581	237	31	.	.	PUNCT
easat-10581	238	1	notably	notably	ADV
easat-10581	238	2	,	,	PUNCT
easat-10581	238	3	the	the	DET
easat-10581	238	4	ensemble	ensemble	ADJ
easat-10581	238	5	methods	method	NOUN
easat-10581	238	6	(	(	PUNCT
easat-10581	238	7	random	random	ADJ
easat-10581	238	8	forests	forest	NOUN
easat-10581	238	9	,	,	PUNCT
easat-10581	238	10	xgboost	xgboost	ADV
easat-10581	238	11	,	,	PUNCT
easat-10581	238	12	and	and	CCONJ
easat-10581	238	13	lightgbm	lightgbm	ADJ
easat-10581	238	14	)	)	PUNCT
easat-10581	238	15	have	have	AUX
easat-10581	238	16	demonstrated	demonstrate	VERB
easat-10581	238	17	higher	high	ADJ
easat-10581	238	18	performance	performance	NOUN
easat-10581	238	19	measures	measure	NOUN
easat-10581	238	20	,	,	PUNCT
easat-10581	238	21	with	with	ADP
easat-10581	238	22	lightgbm	lightgbm	NOUN
easat-10581	238	23	being	be	AUX
easat-10581	238	24	slightly	slightly	ADV
easat-10581	238	25	superior	superior	ADJ
easat-10581	238	26	to	to	ADP
easat-10581	238	27	the	the	DET
easat-10581	238	28	other	other	ADJ
easat-10581	238	29	methods	method	NOUN
easat-10581	238	30	.	.	PUNCT
easat-10581	239	1	on	on	ADP
easat-10581	239	2	the	the	DET
easat-10581	239	3	other	other	ADJ
easat-10581	239	4	hand	hand	NOUN
easat-10581	239	5	,	,	PUNCT
easat-10581	239	6	the	the	DET
easat-10581	239	7	ensemble	ensemble	ADJ
easat-10581	239	8	methods	method	NOUN
easat-10581	239	9	are	be	AUX
easat-10581	239	10	characterized	characterize	VERB
easat-10581	239	11	by	by	ADP
easat-10581	239	12	higher	high	ADJ
easat-10581	239	13	computational	computational	ADJ
easat-10581	239	14	costs	cost	NOUN
easat-10581	239	15	,	,	PUNCT
easat-10581	239	16	especially	especially	ADV
easat-10581	239	17	when	when	SCONJ
easat-10581	239	18	large	large	ADJ
easat-10581	239	19	values	value	NOUN
easat-10581	239	20	of	of	ADP
easat-10581	239	21	number	number	NOUN
easat-10581	239	22	of	of	ADP
easat-10581	239	23	estimators	estimator	NOUN
easat-10581	239	24	are	be	AUX
easat-10581	239	25	used	use	VERB
easat-10581	239	26	.	.	PUNCT
easat-10581	240	1	nevertheless	nevertheless	ADV
easat-10581	240	2	,	,	PUNCT
easat-10581	240	3	the	the	DET
easat-10581	240	4	computational	computational	ADJ
easat-10581	240	5	complexity	complexity	NOUN
easat-10581	240	6	was	be	AUX
easat-10581	240	7	not	not	PART
easat-10581	240	8	the	the	DET
easat-10581	240	9	focus	focus	NOUN
easat-10581	240	10	of	of	ADP
easat-10581	240	11	this	this	DET
easat-10581	240	12	study	study	NOUN
easat-10581	240	13	.	.	PUNCT
easat-10581	241	1	5	5	X
easat-10581	241	2	.	.	X
easat-10581	241	3	discussion	discussion	NOUN
easat-10581	241	4	the	the	DET
easat-10581	241	5	findings	finding	NOUN
easat-10581	241	6	of	of	ADP
easat-10581	241	7	this	this	DET
easat-10581	241	8	study	study	NOUN
easat-10581	241	9	demonstrate	demonstrate	VERB
easat-10581	241	10	the	the	DET
easat-10581	241	11	feasibility	feasibility	NOUN
easat-10581	241	12	and	and	CCONJ
easat-10581	241	13	utility	utility	NOUN
easat-10581	241	14	of	of	ADP
easat-10581	241	15	the	the	DET
easat-10581	241	16	methodology	methodology	NOUN
easat-10581	241	17	of	of	ADP
easat-10581	241	18	data	datum	NOUN
easat-10581	241	19	from	from	ADP
easat-10581	241	20	online	online	ADJ
easat-10581	241	21	news	news	NOUN
easat-10581	241	22	portals	portal	NOUN
easat-10581	241	23	with	with	ADP
easat-10581	241	24	machine	machine	NOUN
easat-10581	241	25	learning	learn	VERB
easat-10581	241	26	techniques	technique	NOUN
easat-10581	241	27	to	to	PART
easat-10581	241	28	assess	assess	VERB
easat-10581	241	29	and	and	CCONJ
easat-10581	241	30	predict	predict	VERB
easat-10581	241	31	the	the	DET
easat-10581	241	32	road	road	NOUN
easat-10581	241	33	accident	accident	NOUN
easat-10581	241	34	risks	risk	NOUN
easat-10581	241	35	in	in	ADP
easat-10581	241	36	albania	albania	PROPN
easat-10581	241	37	.	.	PUNCT
easat-10581	242	1	this	this	PRON
easat-10581	242	2	was	be	AUX
easat-10581	242	3	achieved	achieve	VERB
easat-10581	242	4	through	through	ADP
easat-10581	242	5	the	the	DET
easat-10581	242	6	implementation	implementation	NOUN
easat-10581	242	7	of	of	ADP
easat-10581	242	8	a	a	DET
easat-10581	242	9	data	data	NOUN
easat-10581	242	10	mining	mining	NOUN
easat-10581	242	11	pipeline	pipeline	NOUN
easat-10581	242	12	starting	start	VERB
easat-10581	242	13	with	with	ADP
easat-10581	242	14	web	web	NOUN
easat-10581	242	15	scraping	scraping	NOUN
easat-10581	242	16	,	,	PUNCT
easat-10581	242	17	proceeding	proceed	VERB
easat-10581	242	18	with	with	ADP
easat-10581	242	19	a	a	DET
easat-10581	242	20	complex	complex	ADJ
easat-10581	242	21	sequence	sequence	NOUN
easat-10581	242	22	of	of	ADP
easat-10581	242	23	preprocessing	preprocesse	VERB
easat-10581	242	24	modules	module	NOUN
easat-10581	242	25	,	,	PUNCT
easat-10581	242	26	and	and	CCONJ
easat-10581	242	27	following	follow	VERB
easat-10581	242	28	with	with	ADP
easat-10581	242	29	classification	classification	NOUN
easat-10581	242	30	techniques	technique	NOUN
easat-10581	242	31	and	and	CCONJ
easat-10581	242	32	model	model	NOUN
easat-10581	242	33	evaluation	evaluation	NOUN
easat-10581	242	34	.	.	PUNCT
easat-10581	243	1	beautifulsoup	beautifulsoup	NOUN
easat-10581	243	2	served	serve	VERB
easat-10581	243	3	as	as	ADP
easat-10581	243	4	a	a	DET
easat-10581	243	5	valuable	valuable	ADJ
easat-10581	243	6	tool	tool	NOUN
easat-10581	243	7	for	for	ADP
easat-10581	243	8	web	web	NOUN
easat-10581	243	9	scraping	scraping	NOUN
easat-10581	243	10	,	,	PUNCT
easat-10581	243	11	providing	provide	VERB
easat-10581	243	12	a	a	DET
easat-10581	243	13	broad	broad	ADJ
easat-10581	243	14	collection	collection	NOUN
easat-10581	243	15	of	of	ADP
easat-10581	243	16	accidentrelated	accidentrelate	VERB
easat-10581	243	17	content	content	NOUN
easat-10581	243	18	.	.	PUNCT
easat-10581	244	1	however	however	ADV
easat-10581	244	2	,	,	PUNCT
easat-10581	244	3	significant	significant	ADJ
easat-10581	244	4	challenges	challenge	NOUN
easat-10581	244	5	were	be	AUX
easat-10581	244	6	encountered	encounter	VERB
easat-10581	244	7	during	during	ADP
easat-10581	244	8	the	the	DET
easat-10581	244	9	preprocessing	preprocessing	NOUN
easat-10581	244	10	phase	phase	NOUN
easat-10581	244	11	due	due	ADP
easat-10581	244	12	to	to	ADP
easat-10581	244	13	the	the	DET
easat-10581	244	14	lack	lack	NOUN
easat-10581	244	15	of	of	ADP
easat-10581	244	16	natural	natural	ADJ
easat-10581	244	17	language	language	NOUN
easat-10581	244	18	processing	processing	NOUN
easat-10581	244	19	(	(	PUNCT
easat-10581	244	20	nlp	nlp	NOUN
easat-10581	244	21	)	)	PUNCT
easat-10581	244	22	tools	tool	NOUN
easat-10581	244	23	designed	design	VERB
easat-10581	244	24	for	for	ADP
easat-10581	244	25	the	the	DET
easat-10581	244	26	albanian	albanian	ADJ
easat-10581	244	27	language	language	NOUN
easat-10581	244	28	.	.	PUNCT
easat-10581	245	1	in	in	ADP
easat-10581	245	2	this	this	DET
easat-10581	245	3	context	context	NOUN
easat-10581	245	4	,	,	PUNCT
easat-10581	245	5	the	the	DET
easat-10581	245	6	widely	widely	ADV
easat-10581	245	7	used	use	VERB
easat-10581	245	8	english	english	ADJ
easat-10581	245	9	-	-	PUNCT
easat-10581	245	10	language	language	NOUN
easat-10581	245	11	library	library	NOUN
easat-10581	245	12	nltk	nltk	NOUN
easat-10581	245	13	was	be	AUX
easat-10581	245	14	used	use	VERB
easat-10581	245	15	with	with	ADP
easat-10581	245	16	additional	additional	ADJ
easat-10581	245	17	python	python	NOUN
easat-10581	245	18	scripts	script	NOUN
easat-10581	245	19	customized	customize	VERB
easat-10581	245	20	to	to	PART
easat-10581	245	21	assist	assist	VERB
easat-10581	245	22	in	in	ADP
easat-10581	245	23	recognition	recognition	NOUN
easat-10581	245	24	and	and	CCONJ
easat-10581	245	25	text	text	NOUN
easat-10581	245	26	processing	processing	NOUN
easat-10581	245	27	in	in	ADP
easat-10581	245	28	the	the	DET
easat-10581	245	29	albanian	albanian	ADJ
easat-10581	245	30	language	language	NOUN
easat-10581	245	31	.	.	PUNCT
easat-10581	246	1	furthermore	furthermore	ADV
easat-10581	246	2	,	,	PUNCT
easat-10581	246	3	two	two	NUM
easat-10581	246	4	domain	domain	NOUN
easat-10581	246	5	-	-	PUNCT
easat-10581	246	6	specific	specific	ADJ
easat-10581	246	7	corpora	corpora	NOUN
easat-10581	246	8	were	be	AUX
easat-10581	246	9	prepared	prepared	ADJ
easat-10581	246	10	to	to	PART
easat-10581	246	11	assist	assist	VERB
easat-10581	246	12	in	in	ADP
easat-10581	246	13	semantic	semantic	ADJ
easat-10581	246	14	keywords	keyword	NOUN
easat-10581	246	15	detection	detection	NOUN
easat-10581	246	16	and	and	CCONJ
easat-10581	246	17	geographic	geographic	ADJ
easat-10581	246	18	location	location	NOUN
easat-10581	246	19	tagging	tagging	NOUN
easat-10581	246	20	.	.	PUNCT
easat-10581	247	1	a	a	DET
easat-10581	247	2	hybrid	hybrid	ADJ
easat-10581	247	3	approach	approach	NOUN
easat-10581	247	4	combining	combine	VERB
easat-10581	247	5	automated	automate	VERB
easat-10581	247	6	preprocessing	preprocessing	NOUN
easat-10581	247	7	and	and	CCONJ
easat-10581	247	8	final	final	ADJ
easat-10581	247	9	manual	manual	ADJ
easat-10581	247	10	refinement	refinement	NOUN
easat-10581	247	11	improved	improve	VERB
easat-10581	247	12	data	datum	NOUN
easat-10581	247	13	quality	quality	NOUN
easat-10581	247	14	and	and	CCONJ
easat-10581	247	15	enabled	enable	VERB
easat-10581	247	16	reliable	reliable	ADJ
easat-10581	247	17	feature	feature	NOUN
easat-10581	247	18	extraction	extraction	NOUN
easat-10581	247	19	,	,	PUNCT
easat-10581	247	20	including	include	VERB
easat-10581	247	21	cause	cause	NOUN
easat-10581	247	22	,	,	PUNCT
easat-10581	247	23	gender	gender	NOUN
easat-10581	247	24	,	,	PUNCT
easat-10581	247	25	type	type	NOUN
easat-10581	247	26	of	of	ADP
easat-10581	247	27	road	road	NOUN
easat-10581	247	28	,	,	PUNCT
easat-10581	247	29	and	and	CCONJ
easat-10581	247	30	severity	severity	NOUN
easat-10581	247	31	level	level	NOUN
easat-10581	247	32	of	of	ADP
easat-10581	247	33	the	the	DET
easat-10581	247	34	accidents	accident	NOUN
easat-10581	247	35	.	.	PUNCT
easat-10581	248	1	considering	consider	VERB
easat-10581	248	2	the	the	DET
easat-10581	248	3	complexity	complexity	NOUN
easat-10581	248	4	of	of	ADP
easat-10581	248	5	building	build	VERB
easat-10581	248	6	structured	structure	VERB
easat-10581	248	7	datasets	dataset	NOUN
easat-10581	248	8	from	from	ADP
easat-10581	248	9	unstructured	unstructured	ADJ
easat-10581	248	10	online	online	PROPN
easat-10581	248	11	news	news	NOUN
easat-10581	248	12	text	text	NOUN
easat-10581	248	13	,	,	PUNCT
easat-10581	248	14	especially	especially	ADV
easat-10581	248	15	in	in	ADP
easat-10581	248	16	the	the	DET
easat-10581	248	17	context	context	NOUN
easat-10581	248	18	of	of	ADP
easat-10581	248	19	the	the	DET
easat-10581	248	20	albanian	albanian	ADJ
easat-10581	248	21	language	language	NOUN
easat-10581	248	22	,	,	PUNCT
easat-10581	248	23	preprocessing	preprocessing	NOUN
easat-10581	248	24	represents	represent	VERB
easat-10581	248	25	a	a	DET
easat-10581	248	26	key	key	ADJ
easat-10581	248	27	methodological	methodological	ADJ
easat-10581	248	28	contribution	contribution	NOUN
easat-10581	248	29	of	of	ADP
easat-10581	248	30	this	this	DET
easat-10581	248	31	work	work	NOUN
easat-10581	248	32	.	.	PUNCT
easat-10581	249	1	1002	1002	NUM
easat-10581	249	2	edelweiss	edelweiss	PROPN
easat-10581	249	3	applied	apply	VERB
easat-10581	249	4	science	science	NOUN
easat-10581	249	5	and	and	CCONJ
easat-10581	249	6	technology	technology	NOUN
easat-10581	249	7	issn	issn	PROPN
easat-10581	249	8	:	:	PUNCT
easat-10581	249	9	2576	2576	NUM
easat-10581	249	10	-	-	SYM
easat-10581	249	11	8484	8484	NUM
easat-10581	249	12	vol	vol	NOUN
easat-10581	249	13	.	.	PROPN
easat-10581	250	1	9	9	NUM
easat-10581	250	2	,	,	PUNCT
easat-10581	250	3	no	no	INTJ
easat-10581	250	4	.	.	NOUN
easat-10581	250	5	10	10	NUM
easat-10581	250	6	:	:	PUNCT
easat-10581	250	7	992	992	NUM
easat-10581	250	8	-	-	SYM
easat-10581	250	9	1004	1004	NUM
easat-10581	250	10	,	,	PUNCT
easat-10581	250	11	2025	2025	NUM
easat-10581	250	12	doi	doi	NOUN
easat-10581	250	13	:	:	PUNCT
easat-10581	250	14	10.55214/2576	10.55214/2576	NUM
easat-10581	250	15	-	-	SYM
easat-10581	250	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	250	17	©	©	ADP
easat-10581	250	18	2025	2025	NUM
easat-10581	250	19	by	by	ADP
easat-10581	250	20	the	the	DET
easat-10581	250	21	authors	author	NOUN
easat-10581	250	22	;	;	PUNCT
easat-10581	250	23	licensee	licensee	PROPN
easat-10581	250	24	learning	learn	VERB
easat-10581	250	25	gate	gate	NOUN
easat-10581	250	26	in	in	ADP
easat-10581	250	27	the	the	DET
easat-10581	250	28	classification	classification	NOUN
easat-10581	250	29	phase	phase	NOUN
easat-10581	250	30	,	,	PUNCT
easat-10581	250	31	four	four	NUM
easat-10581	250	32	distinct	distinct	ADJ
easat-10581	250	33	machine	machine	NOUN
easat-10581	250	34	learning	learning	NOUN
easat-10581	250	35	models	model	NOUN
easat-10581	250	36	were	be	AUX
easat-10581	250	37	implemented	implement	VERB
easat-10581	250	38	,	,	PUNCT
easat-10581	250	39	including	include	VERB
easat-10581	250	40	the	the	DET
easat-10581	250	41	basic	basic	ADJ
easat-10581	250	42	naïve	naïve	ADJ
easat-10581	250	43	bayes	bayes	NOUN
easat-10581	250	44	method	method	NOUN
easat-10581	250	45	and	and	CCONJ
easat-10581	250	46	three	three	NUM
easat-10581	250	47	ensemble	ensemble	ADJ
easat-10581	250	48	methods	method	NOUN
easat-10581	250	49	,	,	PUNCT
easat-10581	250	50	namely	namely	ADV
easat-10581	250	51	random	random	ADJ
easat-10581	250	52	forest	forest	NOUN
easat-10581	250	53	,	,	PUNCT
easat-10581	250	54	xgboost	xgboost	ADV
easat-10581	250	55	,	,	PUNCT
easat-10581	250	56	and	and	CCONJ
easat-10581	250	57	lightgbm	lightgbm	ADJ
easat-10581	250	58	.	.	PUNCT
easat-10581	251	1	the	the	DET
easat-10581	251	2	results	result	NOUN
easat-10581	251	3	demonstrated	demonstrate	VERB
easat-10581	251	4	a	a	DET
easat-10581	251	5	better	well	ADJ
easat-10581	251	6	performance	performance	NOUN
easat-10581	251	7	score	score	NOUN
easat-10581	251	8	of	of	ADP
easat-10581	251	9	ensemble	ensemble	ADJ
easat-10581	251	10	methods	method	NOUN
easat-10581	251	11	,	,	PUNCT
easat-10581	251	12	especially	especially	ADV
easat-10581	251	13	lightgbm	lightgbm	ADJ
easat-10581	251	14	,	,	PUNCT
easat-10581	251	15	which	which	PRON
easat-10581	251	16	achieved	achieve	VERB
easat-10581	251	17	high	high	ADJ
easat-10581	251	18	scores	score	NOUN
easat-10581	251	19	across	across	ADP
easat-10581	251	20	all	all	DET
easat-10581	251	21	used	used	ADJ
easat-10581	251	22	evaluation	evaluation	NOUN
easat-10581	251	23	metrics	metric	NOUN
easat-10581	251	24	.	.	PUNCT
easat-10581	252	1	these	these	DET
easat-10581	252	2	results	result	NOUN
easat-10581	252	3	indicate	indicate	VERB
easat-10581	252	4	the	the	DET
easat-10581	252	5	effectiveness	effectiveness	NOUN
easat-10581	252	6	of	of	ADP
easat-10581	252	7	boosting	boost	VERB
easat-10581	252	8	-	-	PUNCT
easat-10581	252	9	based	base	VERB
easat-10581	252	10	models	model	NOUN
easat-10581	252	11	in	in	ADP
easat-10581	252	12	capturing	capture	VERB
easat-10581	252	13	complex	complex	ADJ
easat-10581	252	14	,	,	PUNCT
easat-10581	252	15	nonlinear	nonlinear	ADJ
easat-10581	252	16	relationships	relationship	NOUN
easat-10581	252	17	among	among	ADP
easat-10581	252	18	the	the	DET
easat-10581	252	19	features	feature	NOUN
easat-10581	252	20	of	of	ADP
easat-10581	252	21	a	a	DET
easat-10581	252	22	dataset	dataset	NOUN
easat-10581	252	23	.	.	PUNCT
easat-10581	253	1	nevertheless	nevertheless	ADV
easat-10581	253	2	,	,	PUNCT
easat-10581	253	3	even	even	ADV
easat-10581	253	4	the	the	DET
easat-10581	253	5	naïve	naïve	ADJ
easat-10581	253	6	bayes	bayes	NOUN
easat-10581	253	7	method	method	NOUN
easat-10581	253	8	,	,	PUNCT
easat-10581	253	9	due	due	ADP
easat-10581	253	10	to	to	ADP
easat-10581	253	11	its	its	PRON
easat-10581	253	12	simplicity	simplicity	NOUN
easat-10581	253	13	and	and	CCONJ
easat-10581	253	14	computational	computational	ADJ
easat-10581	253	15	efficiency	efficiency	NOUN
easat-10581	253	16	,	,	PUNCT
easat-10581	253	17	remains	remain	VERB
easat-10581	253	18	a	a	DET
easat-10581	253	19	useful	useful	ADJ
easat-10581	253	20	benchmark	benchmark	NOUN
easat-10581	253	21	and	and	CCONJ
easat-10581	253	22	a	a	DET
easat-10581	253	23	viable	viable	ADJ
easat-10581	253	24	option	option	NOUN
easat-10581	253	25	for	for	ADP
easat-10581	253	26	real	real	ADJ
easat-10581	253	27	-	-	PUNCT
easat-10581	253	28	time	time	NOUN
easat-10581	253	29	systems	system	NOUN
easat-10581	253	30	with	with	ADP
easat-10581	253	31	constrained	constrained	ADJ
easat-10581	253	32	resources	resource	NOUN
easat-10581	253	33	.	.	PUNCT
easat-10581	254	1	lightgbm	lightgbm	PROPN
easat-10581	254	2	’s	’s	PART
easat-10581	254	3	superior	superior	ADJ
easat-10581	254	4	performance	performance	NOUN
easat-10581	254	5	is	be	AUX
easat-10581	254	6	likely	likely	ADV
easat-10581	254	7	attributable	attributable	ADJ
easat-10581	254	8	to	to	ADP
easat-10581	254	9	the	the	DET
easat-10581	254	10	nature	nature	NOUN
easat-10581	254	11	of	of	ADP
easat-10581	254	12	its	its	PRON
easat-10581	254	13	histogram	histogram	NOUN
easat-10581	254	14	-	-	PUNCT
easat-10581	254	15	based	base	VERB
easat-10581	254	16	learning	learning	NOUN
easat-10581	254	17	algorithm	algorithm	NOUN
easat-10581	254	18	and	and	CCONJ
easat-10581	254	19	leaf	leaf	NOUN
easat-10581	254	20	-	-	PUNCT
easat-10581	254	21	wise	wise	ADJ
easat-10581	254	22	tree	tree	NOUN
easat-10581	254	23	growth	growth	NOUN
easat-10581	254	24	strategy	strategy	NOUN
easat-10581	254	25	,	,	PUNCT
easat-10581	254	26	which	which	PRON
easat-10581	254	27	enable	enable	VERB
easat-10581	254	28	efficient	efficient	ADJ
easat-10581	254	29	capturing	capturing	NOUN
easat-10581	254	30	of	of	ADP
easat-10581	254	31	complex	complex	ADJ
easat-10581	254	32	attribute	attribute	NOUN
easat-10581	254	33	relationships	relationship	NOUN
easat-10581	254	34	and	and	CCONJ
easat-10581	254	35	handling	handling	NOUN
easat-10581	254	36	of	of	ADP
easat-10581	254	37	imbalanced	imbalanced	ADJ
easat-10581	254	38	data	datum	NOUN
easat-10581	254	39	.	.	PUNCT
easat-10581	255	1	additionally	additionally	ADV
easat-10581	255	2	,	,	PUNCT
easat-10581	255	3	its	its	PRON
easat-10581	255	4	scalability	scalability	NOUN
easat-10581	255	5	and	and	CCONJ
easat-10581	255	6	capacity	capacity	NOUN
easat-10581	255	7	to	to	PART
easat-10581	255	8	handle	handle	VERB
easat-10581	255	9	high	high	ADJ
easat-10581	255	10	-	-	PUNCT
easat-10581	255	11	dimensional	dimensional	ADJ
easat-10581	255	12	numerical	numerical	ADJ
easat-10581	255	13	and	and	CCONJ
easat-10581	255	14	categorical	categorical	ADJ
easat-10581	255	15	characteristics	characteristic	NOUN
easat-10581	255	16	make	make	VERB
easat-10581	255	17	it	it	PRON
easat-10581	255	18	particularly	particularly	ADV
easat-10581	255	19	well	well	ADV
easat-10581	255	20	-	-	PUNCT
easat-10581	255	21	suited	suit	VERB
easat-10581	255	22	for	for	ADP
easat-10581	255	23	diverse	diverse	ADJ
easat-10581	255	24	feature	feature	NOUN
easat-10581	255	25	sets	set	NOUN
easat-10581	255	26	generated	generate	VERB
easat-10581	255	27	as	as	ADP
easat-10581	255	28	the	the	DET
easat-10581	255	29	outcome	outcome	NOUN
easat-10581	255	30	of	of	ADP
easat-10581	255	31	the	the	DET
easat-10581	255	32	preprocessing	preprocessing	NOUN
easat-10581	255	33	stage	stage	NOUN
easat-10581	255	34	.	.	PUNCT
easat-10581	256	1	building	build	VERB
easat-10581	256	2	a	a	DET
easat-10581	256	3	classification	classification	NOUN
easat-10581	256	4	model	model	NOUN
easat-10581	256	5	from	from	ADP
easat-10581	256	6	web	web	NOUN
easat-10581	256	7	-	-	VERB
easat-10581	256	8	scraped	scrape	VERB
easat-10581	256	9	data	datum	NOUN
easat-10581	256	10	to	to	PART
easat-10581	256	11	predict	predict	VERB
easat-10581	256	12	the	the	DET
easat-10581	256	13	likelihood	likelihood	NOUN
easat-10581	256	14	of	of	ADP
easat-10581	256	15	road	road	NOUN
easat-10581	256	16	accidents	accident	NOUN
easat-10581	256	17	according	accord	VERB
easat-10581	256	18	to	to	ADP
easat-10581	256	19	circumstances	circumstance	NOUN
easat-10581	256	20	is	be	AUX
easat-10581	256	21	a	a	DET
easat-10581	256	22	highly	highly	ADV
easat-10581	256	23	challenging	challenging	ADJ
easat-10581	256	24	procedure	procedure	NOUN
easat-10581	256	25	.	.	PUNCT
easat-10581	257	1	therefore	therefore	ADV
easat-10581	257	2	,	,	PUNCT
easat-10581	257	3	the	the	DET
easat-10581	257	4	performance	performance	NOUN
easat-10581	257	5	metrics	metric	NOUN
easat-10581	257	6	achieved	achieve	VERB
easat-10581	257	7	by	by	ADP
easat-10581	257	8	the	the	DET
easat-10581	257	9	applied	apply	VERB
easat-10581	257	10	classification	classification	NOUN
easat-10581	257	11	algorithms	algorithm	NOUN
easat-10581	257	12	,	,	PUNCT
easat-10581	257	13	especially	especially	ADV
easat-10581	257	14	by	by	ADP
easat-10581	257	15	ensemble	ensemble	ADJ
easat-10581	257	16	classifiers	classifier	NOUN
easat-10581	257	17	,	,	PUNCT
easat-10581	257	18	are	be	AUX
easat-10581	257	19	regarded	regard	VERB
easat-10581	257	20	as	as	ADP
easat-10581	257	21	not	not	PART
easat-10581	257	22	only	only	ADV
easat-10581	257	23	promising	promise	VERB
easat-10581	257	24	but	but	CCONJ
easat-10581	257	25	also	also	ADV
easat-10581	257	26	technically	technically	ADV
easat-10581	257	27	robust	robust	ADJ
easat-10581	257	28	.	.	PUNCT
easat-10581	258	1	despite	despite	SCONJ
easat-10581	258	2	these	these	DET
easat-10581	258	3	promising	promising	ADJ
easat-10581	258	4	results	result	NOUN
easat-10581	258	5	,	,	PUNCT
easat-10581	258	6	there	there	PRON
easat-10581	258	7	are	be	VERB
easat-10581	258	8	some	some	DET
easat-10581	258	9	limitations	limitation	NOUN
easat-10581	258	10	that	that	PRON
easat-10581	258	11	should	should	AUX
easat-10581	258	12	be	be	AUX
easat-10581	258	13	acknowledged	acknowledge	VERB
easat-10581	258	14	.	.	PUNCT
easat-10581	259	1	as	as	SCONJ
easat-10581	259	2	the	the	DET
easat-10581	259	3	dataset	dataset	NOUN
easat-10581	259	4	is	be	AUX
easat-10581	259	5	derived	derive	VERB
easat-10581	259	6	from	from	ADP
easat-10581	259	7	media	medium	NOUN
easat-10581	259	8	sources	source	NOUN
easat-10581	259	9	,	,	PUNCT
easat-10581	259	10	it	it	PRON
easat-10581	259	11	contains	contain	VERB
easat-10581	259	12	the	the	DET
easat-10581	259	13	potential	potential	NOUN
easat-10581	259	14	for	for	ADP
easat-10581	259	15	inherent	inherent	ADJ
easat-10581	259	16	biases	bias	NOUN
easat-10581	259	17	in	in	ADP
easat-10581	259	18	news	news	NOUN
easat-10581	259	19	reporting	reporting	NOUN
easat-10581	259	20	.	.	PUNCT
easat-10581	260	1	often	often	ADV
easat-10581	260	2	,	,	PUNCT
easat-10581	260	3	more	more	ADV
easat-10581	260	4	severe	severe	ADJ
easat-10581	260	5	or	or	CCONJ
easat-10581	260	6	sensational	sensational	ADJ
easat-10581	260	7	accidents	accident	NOUN
easat-10581	260	8	are	be	AUX
easat-10581	260	9	more	more	ADV
easat-10581	260	10	likely	likely	ADJ
easat-10581	260	11	to	to	PART
easat-10581	260	12	be	be	AUX
easat-10581	260	13	covered	cover	VERB
easat-10581	260	14	extensively	extensively	ADV
easat-10581	260	15	by	by	ADP
easat-10581	260	16	news	news	NOUN
easat-10581	260	17	portals	portal	NOUN
easat-10581	260	18	,	,	PUNCT
easat-10581	260	19	leading	lead	VERB
easat-10581	260	20	to	to	ADP
easat-10581	260	21	the	the	DET
easat-10581	260	22	under	under	NOUN
easat-10581	260	23	-	-	PUNCT
easat-10581	260	24	representation	representation	NOUN
easat-10581	260	25	of	of	ADP
easat-10581	260	26	minor	minor	ADJ
easat-10581	260	27	or	or	CCONJ
easat-10581	260	28	routine	routine	ADJ
easat-10581	260	29	accidents	accident	NOUN
easat-10581	260	30	,	,	PUNCT
easat-10581	260	31	consequently	consequently	ADV
easat-10581	260	32	skewing	skew	VERB
easat-10581	260	33	the	the	DET
easat-10581	260	34	distribution	distribution	NOUN
easat-10581	260	35	of	of	ADP
easat-10581	260	36	variables	variable	NOUN
easat-10581	260	37	.	.	PUNCT
easat-10581	261	1	from	from	ADP
easat-10581	261	2	a	a	DET
easat-10581	261	3	practical	practical	ADJ
easat-10581	261	4	perspective	perspective	NOUN
easat-10581	261	5	,	,	PUNCT
easat-10581	261	6	this	this	DET
easat-10581	261	7	work	work	NOUN
easat-10581	261	8	demonstrates	demonstrate	VERB
easat-10581	261	9	that	that	SCONJ
easat-10581	261	10	it	it	PRON
easat-10581	261	11	is	be	AUX
easat-10581	261	12	possible	possible	ADJ
easat-10581	261	13	to	to	PART
easat-10581	261	14	design	design	VERB
easat-10581	261	15	early	early	ADJ
easat-10581	261	16	warning	warning	NOUN
easat-10581	261	17	systems	system	NOUN
easat-10581	261	18	or	or	CCONJ
easat-10581	261	19	dashboards	dashboard	NOUN
easat-10581	261	20	that	that	PRON
easat-10581	261	21	automatically	automatically	ADV
easat-10581	261	22	track	track	VERB
easat-10581	261	23	accident	accident	NOUN
easat-10581	261	24	risk	risk	NOUN
easat-10581	261	25	levels	level	NOUN
easat-10581	261	26	using	use	VERB
easat-10581	261	27	real	real	ADJ
easat-10581	261	28	-	-	PUNCT
easat-10581	261	29	time	time	NOUN
easat-10581	261	30	data	datum	NOUN
easat-10581	261	31	from	from	ADP
easat-10581	261	32	news	news	NOUN
easat-10581	261	33	portals	portal	NOUN
easat-10581	261	34	.	.	PUNCT
easat-10581	262	1	such	such	ADJ
easat-10581	262	2	systems	system	NOUN
easat-10581	262	3	can	can	AUX
easat-10581	262	4	potentially	potentially	ADV
easat-10581	262	5	serve	serve	VERB
easat-10581	262	6	as	as	ADP
easat-10581	262	7	support	support	NOUN
easat-10581	262	8	tools	tool	NOUN
easat-10581	262	9	for	for	ADP
easat-10581	262	10	road	road	NOUN
easat-10581	262	11	safety	safety	NOUN
easat-10581	262	12	campaigns	campaign	NOUN
easat-10581	262	13	,	,	PUNCT
easat-10581	262	14	public	public	ADJ
easat-10581	262	15	awareness	awareness	NOUN
easat-10581	262	16	initiatives	initiative	NOUN
easat-10581	262	17	,	,	PUNCT
easat-10581	262	18	and	and	CCONJ
easat-10581	262	19	infrastructure	infrastructure	NOUN
easat-10581	262	20	planning	planning	NOUN
easat-10581	262	21	.	.	PUNCT
easat-10581	263	1	6	6	X
easat-10581	263	2	.	.	X
easat-10581	263	3	conclusion	conclusion	NOUN
easat-10581	263	4	the	the	DET
easat-10581	263	5	work	work	NOUN
easat-10581	263	6	presented	present	VERB
easat-10581	263	7	in	in	ADP
easat-10581	263	8	this	this	DET
easat-10581	263	9	paper	paper	NOUN
easat-10581	263	10	involved	involve	VERB
easat-10581	263	11	designing	design	VERB
easat-10581	263	12	a	a	DET
easat-10581	263	13	multi	multi	ADV
easat-10581	263	14	-	-	ADJ
easat-10581	263	15	staged	stage	VERB
easat-10581	263	16	data	datum	NOUN
easat-10581	263	17	mining	mining	NOUN
easat-10581	263	18	pipeline	pipeline	NOUN
easat-10581	263	19	for	for	ADP
easat-10581	263	20	predicting	predict	VERB
easat-10581	263	21	the	the	DET
easat-10581	263	22	likelihood	likelihood	NOUN
easat-10581	263	23	of	of	ADP
easat-10581	263	24	road	road	NOUN
easat-10581	263	25	accidents	accident	NOUN
easat-10581	263	26	based	base	VERB
easat-10581	263	27	on	on	ADP
easat-10581	263	28	specific	specific	ADJ
easat-10581	263	29	circumstances	circumstance	NOUN
easat-10581	263	30	.	.	PUNCT
easat-10581	264	1	the	the	DET
easat-10581	264	2	pipeline	pipeline	NOUN
easat-10581	264	3	comprised	comprise	VERB
easat-10581	264	4	data	datum	NOUN
easat-10581	264	5	collection	collection	NOUN
easat-10581	264	6	,	,	PUNCT
easat-10581	264	7	which	which	PRON
easat-10581	264	8	was	be	AUX
easat-10581	264	9	conducted	conduct	VERB
easat-10581	264	10	through	through	ADP
easat-10581	264	11	web	web	NOUN
easat-10581	264	12	scraping	scraping	NOUN
easat-10581	264	13	;	;	PUNCT
easat-10581	264	14	data	datum	NOUN
easat-10581	264	15	preprocessing	preprocessing	NOUN
easat-10581	264	16	,	,	PUNCT
easat-10581	264	17	involving	involve	VERB
easat-10581	264	18	various	various	ADJ
easat-10581	264	19	tools	tool	NOUN
easat-10581	264	20	such	such	ADJ
easat-10581	264	21	as	as	ADP
easat-10581	264	22	filtering	filter	VERB
easat-10581	264	23	,	,	PUNCT
easat-10581	264	24	text	text	NOUN
easat-10581	264	25	normalization	normalization	NOUN
easat-10581	264	26	,	,	PUNCT
easat-10581	264	27	and	and	CCONJ
easat-10581	264	28	data	datum	NOUN
easat-10581	264	29	refinement	refinement	NOUN
easat-10581	264	30	;	;	PUNCT
easat-10581	264	31	and	and	CCONJ
easat-10581	264	32	a	a	DET
easat-10581	264	33	classification	classification	NOUN
easat-10581	264	34	stage	stage	NOUN
easat-10581	264	35	,	,	PUNCT
easat-10581	264	36	executed	execute	VERB
easat-10581	264	37	using	use	VERB
easat-10581	264	38	several	several	ADJ
easat-10581	264	39	algorithms	algorithm	NOUN
easat-10581	264	40	,	,	PUNCT
easat-10581	264	41	including	include	VERB
easat-10581	264	42	naïve	naïve	ADJ
easat-10581	264	43	bayes	baye	NOUN
easat-10581	264	44	,	,	PUNCT
easat-10581	264	45	random	random	ADJ
easat-10581	264	46	forests	forest	NOUN
easat-10581	264	47	,	,	PUNCT
easat-10581	264	48	xgboost	xgboost	ADV
easat-10581	264	49	,	,	PUNCT
easat-10581	264	50	and	and	CCONJ
easat-10581	264	51	lightgbm	lightgbm	ADJ
easat-10581	264	52	.	.	PUNCT
easat-10581	265	1	multiple	multiple	ADJ
easat-10581	265	2	classification	classification	NOUN
easat-10581	265	3	models	model	NOUN
easat-10581	265	4	were	be	AUX
easat-10581	265	5	tested	test	VERB
easat-10581	265	6	within	within	ADP
easat-10581	265	7	this	this	DET
easat-10581	265	8	framework	framework	NOUN
easat-10581	265	9	,	,	PUNCT
easat-10581	265	10	and	and	CCONJ
easat-10581	265	11	the	the	DET
easat-10581	265	12	performance	performance	NOUN
easat-10581	265	13	evaluation	evaluation	NOUN
easat-10581	265	14	metrics	metric	NOUN
easat-10581	265	15	indicated	indicate	VERB
easat-10581	265	16	that	that	SCONJ
easat-10581	265	17	ensemble	ensemble	ADJ
easat-10581	265	18	classifiers	classifier	NOUN
easat-10581	265	19	,	,	PUNCT
easat-10581	265	20	particularly	particularly	ADV
easat-10581	265	21	lightgbm	lightgbm	ADJ
easat-10581	265	22	,	,	PUNCT
easat-10581	265	23	were	be	AUX
easat-10581	265	24	the	the	DET
easat-10581	265	25	most	most	ADV
easat-10581	265	26	effective	effective	ADJ
easat-10581	265	27	models	model	NOUN
easat-10581	265	28	.	.	PUNCT
easat-10581	266	1	although	although	SCONJ
easat-10581	266	2	there	there	PRON
easat-10581	266	3	have	have	AUX
easat-10581	266	4	been	be	AUX
easat-10581	266	5	similar	similar	ADJ
easat-10581	266	6	works	work	NOUN
easat-10581	266	7	in	in	ADP
easat-10581	266	8	various	various	ADJ
easat-10581	266	9	other	other	ADJ
easat-10581	266	10	languages	language	NOUN
easat-10581	266	11	,	,	PUNCT
easat-10581	266	12	this	this	PRON
easat-10581	266	13	is	be	AUX
easat-10581	266	14	one	one	NUM
easat-10581	266	15	of	of	ADP
easat-10581	266	16	the	the	DET
easat-10581	266	17	few	few	ADJ
easat-10581	266	18	works	work	NOUN
easat-10581	266	19	on	on	ADP
easat-10581	266	20	the	the	DET
easat-10581	266	21	albanian	albanian	ADJ
easat-10581	266	22	language	language	NOUN
easat-10581	266	23	.	.	PUNCT
easat-10581	267	1	the	the	DET
easat-10581	267	2	outcome	outcome	NOUN
easat-10581	267	3	of	of	ADP
easat-10581	267	4	this	this	DET
easat-10581	267	5	work	work	NOUN
easat-10581	267	6	may	may	AUX
easat-10581	267	7	assist	assist	VERB
easat-10581	267	8	in	in	ADP
easat-10581	267	9	the	the	DET
easat-10581	267	10	prevention	prevention	NOUN
easat-10581	267	11	of	of	ADP
easat-10581	267	12	accidents	accident	NOUN
easat-10581	267	13	by	by	ADP
easat-10581	267	14	identifying	identify	VERB
easat-10581	267	15	areas	area	NOUN
easat-10581	267	16	with	with	ADP
easat-10581	267	17	the	the	DET
easat-10581	267	18	highest	high	ADJ
easat-10581	267	19	risk	risk	NOUN
easat-10581	267	20	in	in	ADP
easat-10581	267	21	advance	advance	NOUN
easat-10581	267	22	,	,	PUNCT
easat-10581	267	23	thereby	thereby	ADV
easat-10581	267	24	providing	provide	VERB
easat-10581	267	25	important	important	ADJ
easat-10581	267	26	information	information	NOUN
easat-10581	267	27	for	for	ADP
easat-10581	267	28	both	both	CCONJ
easat-10581	267	29	governmental	governmental	ADJ
easat-10581	267	30	institutions	institution	NOUN
easat-10581	267	31	and	and	CCONJ
easat-10581	267	32	citizens	citizen	NOUN
easat-10581	267	33	to	to	PART
easat-10581	267	34	enhance	enhance	VERB
easat-10581	267	35	security	security	NOUN
easat-10581	267	36	at	at	ADP
easat-10581	267	37	operational	operational	ADJ
easat-10581	267	38	and	and	CCONJ
easat-10581	267	39	strategic	strategic	ADJ
easat-10581	267	40	levels	level	NOUN
easat-10581	267	41	.	.	PUNCT
easat-10581	268	1	transparency	transparency	NOUN
easat-10581	268	2	:	:	PUNCT
easat-10581	268	3	the	the	DET
easat-10581	268	4	authors	author	NOUN
easat-10581	268	5	confirm	confirm	VERB
easat-10581	268	6	that	that	SCONJ
easat-10581	268	7	the	the	DET
easat-10581	268	8	manuscript	manuscript	NOUN
easat-10581	268	9	is	be	AUX
easat-10581	268	10	an	an	DET
easat-10581	268	11	honest	honest	ADJ
easat-10581	268	12	,	,	PUNCT
easat-10581	268	13	accurate	accurate	ADJ
easat-10581	268	14	,	,	PUNCT
easat-10581	268	15	and	and	CCONJ
easat-10581	268	16	transparent	transparent	ADJ
easat-10581	268	17	account	account	NOUN
easat-10581	268	18	of	of	ADP
easat-10581	268	19	the	the	DET
easat-10581	268	20	study	study	NOUN
easat-10581	268	21	;	;	PUNCT
easat-10581	268	22	that	that	SCONJ
easat-10581	268	23	no	no	DET
easat-10581	268	24	vital	vital	ADJ
easat-10581	268	25	features	feature	NOUN
easat-10581	268	26	of	of	ADP
easat-10581	268	27	the	the	DET
easat-10581	268	28	study	study	NOUN
easat-10581	268	29	have	have	AUX
easat-10581	268	30	been	be	AUX
easat-10581	268	31	omitted	omit	VERB
easat-10581	268	32	;	;	PUNCT
easat-10581	268	33	and	and	CCONJ
easat-10581	268	34	that	that	SCONJ
easat-10581	268	35	any	any	DET
easat-10581	268	36	discrepancies	discrepancy	NOUN
easat-10581	268	37	from	from	ADP
easat-10581	268	38	the	the	DET
easat-10581	268	39	study	study	NOUN
easat-10581	268	40	as	as	SCONJ
easat-10581	268	41	planned	plan	VERB
easat-10581	268	42	have	have	AUX
easat-10581	268	43	been	be	AUX
easat-10581	268	44	explained	explain	VERB
easat-10581	268	45	.	.	PUNCT
easat-10581	269	1	this	this	DET
easat-10581	269	2	study	study	NOUN
easat-10581	269	3	followed	follow	VERB
easat-10581	269	4	all	all	DET
easat-10581	269	5	ethical	ethical	ADJ
easat-10581	269	6	practices	practice	NOUN
easat-10581	269	7	during	during	ADP
easat-10581	269	8	writing	writing	NOUN
easat-10581	269	9	.	.	PUNCT
easat-10581	270	1	copyright	copyright	NOUN
easat-10581	270	2	:	:	PUNCT
easat-10581	270	3	©	©	PROPN
easat-10581	270	4	2025	2025	NUM
easat-10581	270	5	by	by	ADP
easat-10581	270	6	the	the	DET
easat-10581	270	7	authors	author	NOUN
easat-10581	270	8	.	.	PUNCT
easat-10581	271	1	this	this	DET
easat-10581	271	2	open	open	ADJ
easat-10581	271	3	-	-	PUNCT
easat-10581	271	4	access	access	NOUN
easat-10581	271	5	article	article	NOUN
easat-10581	271	6	is	be	AUX
easat-10581	271	7	distributed	distribute	VERB
easat-10581	271	8	under	under	ADP
easat-10581	271	9	the	the	DET
easat-10581	271	10	terms	term	NOUN
easat-10581	271	11	and	and	CCONJ
easat-10581	271	12	conditions	condition	NOUN
easat-10581	271	13	of	of	ADP
easat-10581	271	14	the	the	DET
easat-10581	271	15	creative	creative	ADJ
easat-10581	271	16	commons	common	NOUN
easat-10581	271	17	attribution	attribution	NOUN
easat-10581	271	18	(	(	PUNCT
easat-10581	271	19	cc	cc	NOUN
easat-10581	271	20	by	by	ADP
easat-10581	271	21	)	)	PUNCT
easat-10581	271	22	license	license	NOUN
easat-10581	271	23	(	(	PUNCT
easat-10581	271	24	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-10581	271	25	)	)	PUNCT
easat-10581	271	26	.	.	PUNCT
easat-10581	272	1	https://creativecommons.org/licenses/by/4.0/	https://creativecommons.org/licenses/by/4.0/	PROPN
easat-10581	272	2	1003	1003	NUM
easat-10581	272	3	edelweiss	edelweiss	PROPN
easat-10581	272	4	applied	apply	VERB
easat-10581	272	5	science	science	NOUN
easat-10581	272	6	and	and	CCONJ
easat-10581	272	7	technology	technology	NOUN
easat-10581	272	8	issn	issn	PROPN
easat-10581	272	9	:	:	PUNCT
easat-10581	272	10	2576	2576	NUM
easat-10581	272	11	-	-	SYM
easat-10581	272	12	8484	8484	NUM
easat-10581	272	13	vol	vol	NOUN
easat-10581	272	14	.	.	PROPN
easat-10581	273	1	9	9	NUM
easat-10581	273	2	,	,	PUNCT
easat-10581	273	3	no	no	INTJ
easat-10581	273	4	.	.	NOUN
easat-10581	273	5	10	10	NUM
easat-10581	273	6	:	:	PUNCT
easat-10581	273	7	992	992	NUM
easat-10581	273	8	-	-	SYM
easat-10581	273	9	1004	1004	NUM
easat-10581	273	10	,	,	PUNCT
easat-10581	273	11	2025	2025	NUM
easat-10581	273	12	doi	doi	NOUN
easat-10581	273	13	:	:	PUNCT
easat-10581	273	14	10.55214/2576	10.55214/2576	NUM
easat-10581	273	15	-	-	SYM
easat-10581	273	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	274	1	©	©	ADP
easat-10581	274	2	2025	2025	NUM
easat-10581	274	3	by	by	ADP
easat-10581	274	4	the	the	DET
easat-10581	274	5	authors	author	NOUN
easat-10581	274	6	;	;	PUNCT
easat-10581	274	7	licensee	licensee	PROPN
easat-10581	274	8	learning	learn	VERB
easat-10581	274	9	gate	gate	NOUN
easat-10581	274	10	references	reference	NOUN
easat-10581	274	11	[	[	X
easat-10581	274	12	1	1	NUM
easat-10581	274	13	]	]	PUNCT
easat-10581	274	14	instat	instat	NOUN
easat-10581	274	15	,	,	PUNCT
easat-10581	274	16	transportation	transportation	NOUN
easat-10581	274	17	,	,	PUNCT
easat-10581	274	18	accidents	accident	NOUN
easat-10581	274	19	and	and	CCONJ
easat-10581	274	20	characteristics	characteristic	NOUN
easat-10581	274	21	of	of	ADP
easat-10581	274	22	road	road	NOUN
easat-10581	274	23	vehicles	vehicle	NOUN
easat-10581	274	24	.	.	PUNCT
easat-10581	275	1	tiranë	tiranë	PROPN
easat-10581	275	2	,	,	PUNCT
easat-10581	275	3	albania	albania	PROPN
easat-10581	275	4	:	:	PUNCT
easat-10581	275	5	instituti	instituti	VERB
easat-10581	275	6	i	i	PRON
easat-10581	275	7	statistikave	statistikave	VERB
easat-10581	275	8	tiranë	tiranë	ADJ
easat-10581	275	9	,	,	PUNCT
easat-10581	275	10	2024	2024	NUM
easat-10581	275	11	.	.	PUNCT
easat-10581	276	1	[	[	X
easat-10581	276	2	2	2	NUM
easat-10581	276	3	]	]	X
easat-10581	276	4	ministry	ministry	NOUN
easat-10581	276	5	of	of	ADP
easat-10581	276	6	interior	interior	PROPN
easat-10581	276	7	,	,	PUNCT
easat-10581	276	8	"	"	PUNCT
easat-10581	276	9	raporti	raporti	VERB
easat-10581	276	10	mujor	mujor	PROPN
easat-10581	276	11	monthly	monthly	ADJ
easat-10581	276	12	report	report	NOUN
easat-10581	276	13	,	,	PUNCT
easat-10581	276	14	"	"	PUNCT
easat-10581	276	15	ministry	ministry	NOUN
easat-10581	276	16	of	of	ADP
easat-10581	276	17	interior	interior	PROPN
easat-10581	276	18	in	in	ADP
easat-10581	276	19	albania	albania	PROPN
easat-10581	276	20	,	,	PUNCT
easat-10581	276	21	2024	2024	NUM
easat-10581	276	22	.	.	PUNCT
easat-10581	277	1	https://mb.gov.al/wpcontent/uploads/2024/12/buletini-mars-2024.pdf	https://mb.gov.al/wpcontent/uploads/2024/12/buletini-mars-2024.pdf	PROPN
easat-10581	277	2	[	[	X
easat-10581	277	3	3	3	NUM
easat-10581	277	4	]	]	X
easat-10581	277	5	l.	l.	PROPN
easat-10581	277	6	sinanaj	sinanaj	PROPN
easat-10581	277	7	and	and	CCONJ
easat-10581	277	8	l.	l.	PROPN
easat-10581	277	9	a.	a.	PROPN
easat-10581	277	10	bexheti	bexheti	PROPN
easat-10581	277	11	,	,	PUNCT
easat-10581	277	12	"	"	PUNCT
easat-10581	277	13	predicting	predict	VERB
easat-10581	277	14	road	road	NOUN
easat-10581	277	15	accidents	accident	NOUN
easat-10581	277	16	with	with	ADP
easat-10581	277	17	web	web	NOUN
easat-10581	277	18	scraping	scraping	NOUN
easat-10581	277	19	and	and	CCONJ
easat-10581	277	20	machine	machine	NOUN
easat-10581	277	21	learning	learn	VERB
easat-10581	277	22	techniques	technique	NOUN
easat-10581	277	23	,	,	PUNCT
easat-10581	277	24	in	in	ADP
easat-10581	277	25	:	:	PUNCT
easat-10581	277	26	economic	economic	ADJ
easat-10581	277	27	recovery	recovery	NOUN
easat-10581	277	28	,	,	PUNCT
easat-10581	277	29	consolidation	consolidation	NOUN
easat-10581	277	30	,	,	PUNCT
easat-10581	277	31	and	and	CCONJ
easat-10581	277	32	sustainable	sustainable	ADJ
easat-10581	277	33	growth	growth	NOUN
easat-10581	277	34	,	,	PUNCT
easat-10581	277	35	"	"	PUNCT
easat-10581	277	36	in	in	ADP
easat-10581	277	37	iscbe	iscbe	PROPN
easat-10581	277	38	2023.proceedings	2023.proceeding	NOUN
easat-10581	277	39	of	of	ADP
easat-10581	277	40	the	the	DET
easat-10581	277	41	6th	6th	ADJ
easat-10581	277	42	international	international	ADJ
easat-10581	277	43	scientific	scientific	ADJ
easat-10581	277	44	conference	conference	NOUN
easat-10581	277	45	on	on	ADP
easat-10581	277	46	business	business	NOUN
easat-10581	277	47	and	and	CCONJ
easat-10581	277	48	economics	economic	NOUN
easat-10581	277	49	(	(	PUNCT
easat-10581	277	50	iscbe	iscbe	PROPN
easat-10581	277	51	2023	2023	NUM
easat-10581	277	52	)	)	PUNCT
easat-10581	277	53	,	,	PUNCT
easat-10581	277	54	springer	springer	NOUN
easat-10581	277	55	,	,	PUNCT
easat-10581	277	56	cham	cham	NOUN
easat-10581	277	57	,	,	PUNCT
easat-10581	277	58	2023	2023	NUM
easat-10581	277	59	.	.	PUNCT
easat-10581	278	1	[	[	X
easat-10581	278	2	4	4	NUM
easat-10581	278	3	]	]	X
easat-10581	278	4	l.	l.	PROPN
easat-10581	278	5	sinanaj	sinanaj	PROPN
easat-10581	278	6	,	,	PUNCT
easat-10581	278	7	e.	e.	PROPN
easat-10581	278	8	bedalli	bedalli	PROPN
easat-10581	278	9	,	,	PUNCT
easat-10581	278	10	and	and	CCONJ
easat-10581	278	11	l.	l.	PROPN
easat-10581	278	12	abazi	abazi	PROPN
easat-10581	278	13	bexheti	bexheti	PROPN
easat-10581	278	14	,	,	PUNCT
easat-10581	278	15	"	"	PUNCT
easat-10581	278	16	a	a	DET
easat-10581	278	17	classification	classification	NOUN
easat-10581	278	18	model	model	NOUN
easat-10581	278	19	for	for	ADP
easat-10581	278	20	predicting	predict	VERB
easat-10581	278	21	road	road	NOUN
easat-10581	278	22	accidents	accident	NOUN
easat-10581	278	23	using	use	VERB
easat-10581	278	24	web	web	NOUN
easat-10581	278	25	data	datum	NOUN
easat-10581	278	26	,	,	PUNCT
easat-10581	278	27	"	"	PUNCT
easat-10581	278	28	enterprise	enterprise	NOUN
easat-10581	278	29	research	research	NOUN
easat-10581	278	30	innovation	innovation	NOUN
easat-10581	278	31	,	,	PUNCT
easat-10581	278	32	vol	vol	NOUN
easat-10581	278	33	.	.	PROPN
easat-10581	278	34	9	9	NUM
easat-10581	278	35	,	,	PUNCT
easat-10581	278	36	no	no	INTJ
easat-10581	278	37	.	.	NOUN
easat-10581	278	38	1	1	NUM
easat-10581	278	39	,	,	PUNCT
easat-10581	278	40	pp	pp	ADJ
easat-10581	278	41	.	.	PUNCT
easat-10581	279	1	50	50	NUM
easat-10581	279	2	-	-	SYM
easat-10581	279	3	61	61	NUM
easat-10581	279	4	,	,	PUNCT
easat-10581	279	5	2023	2023	NUM
easat-10581	279	6	.	.	PUNCT
easat-10581	280	1	https://doi.org/10.54820/entrenova-2023-0006	https://doi.org/10.54820/entrenova-2023-0006	X
easat-10581	281	1	[	[	X
easat-10581	281	2	5	5	NUM
easat-10581	281	3	]	]	PUNCT
easat-10581	281	4	s.-p	s.-p	PROPN
easat-10581	281	5	.	.	PUNCT
easat-10581	281	6	miaou	miaou	NOUN
easat-10581	281	7	,	,	PUNCT
easat-10581	281	8	"	"	PUNCT
easat-10581	281	9	estimating	estimate	VERB
easat-10581	281	10	vehicle	vehicle	NOUN
easat-10581	281	11	roadside	roadside	NOUN
easat-10581	281	12	encroachment	encroachment	NOUN
easat-10581	281	13	frequency	frequency	NOUN
easat-10581	281	14	using	use	VERB
easat-10581	281	15	accident	accident	NOUN
easat-10581	281	16	prediction	prediction	NOUN
easat-10581	281	17	models	model	NOUN
easat-10581	281	18	,	,	PUNCT
easat-10581	281	19	"	"	PUNCT
easat-10581	281	20	presented	present	VERB
easat-10581	281	21	at	at	ADP
easat-10581	281	22	the	the	DET
easat-10581	281	23	conference	conference	NOUN
easat-10581	281	24	:	:	PUNCT
easat-10581	281	25	76	76	NUM
easat-10581	281	26	.	.	PUNCT
easat-10581	281	27	annual	annual	ADJ
easat-10581	281	28	meeting	meeting	NOUN
easat-10581	281	29	of	of	ADP
easat-10581	281	30	the	the	DET
easat-10581	281	31	transportation	transportation	NOUN
easat-10581	281	32	research	research	NOUN
easat-10581	281	33	board	board	PROPN
easat-10581	281	34	.	.	PUNCT
easat-10581	282	1	,	,	PUNCT
easat-10581	282	2	washington	washington	PROPN
easat-10581	282	3	,	,	PUNCT
easat-10581	282	4	dc	dc	PROPN
easat-10581	282	5	(	(	PUNCT
easat-10581	282	6	united	united	PROPN
easat-10581	282	7	states	states	PROPN
easat-10581	282	8	)	)	PUNCT
easat-10581	282	9	,	,	PUNCT
easat-10581	282	10	1996	1996	NUM
easat-10581	282	11	.	.	PUNCT
easat-10581	283	1	[	[	X
easat-10581	283	2	6	6	NUM
easat-10581	283	3	]	]	PUNCT
easat-10581	283	4	s.-p	s.-p	PROPN
easat-10581	283	5	.	.	PUNCT
easat-10581	284	1	miaou	miaou	NOUN
easat-10581	284	2	and	and	CCONJ
easat-10581	284	3	h.	h.	PROPN
easat-10581	284	4	lum	lum	PROPN
easat-10581	284	5	,	,	PUNCT
easat-10581	284	6	"	"	PUNCT
easat-10581	284	7	modeling	model	VERB
easat-10581	284	8	vehicle	vehicle	NOUN
easat-10581	284	9	accidents	accident	NOUN
easat-10581	284	10	and	and	CCONJ
easat-10581	284	11	highway	highway	NOUN
easat-10581	284	12	geometric	geometric	ADJ
easat-10581	284	13	design	design	NOUN
easat-10581	284	14	relationships	relationship	NOUN
easat-10581	284	15	,	,	PUNCT
easat-10581	284	16	"	"	PUNCT
easat-10581	284	17	accident	accident	NOUN
easat-10581	284	18	analysis	analysis	NOUN
easat-10581	284	19	&	&	CCONJ
easat-10581	284	20	prevention	prevention	NOUN
easat-10581	284	21	,	,	PUNCT
easat-10581	284	22	vol	vol	NOUN
easat-10581	284	23	.	.	PROPN
easat-10581	284	24	25	25	NUM
easat-10581	284	25	,	,	PUNCT
easat-10581	284	26	no	no	INTJ
easat-10581	284	27	.	.	NOUN
easat-10581	284	28	6	6	NUM
easat-10581	284	29	,	,	PUNCT
easat-10581	284	30	pp	pp	ADJ
easat-10581	284	31	.	.	PUNCT
easat-10581	285	1	689	689	NUM
easat-10581	285	2	-	-	SYM
easat-10581	285	3	709	709	NUM
easat-10581	285	4	,	,	PUNCT
easat-10581	285	5	1993	1993	NUM
easat-10581	285	6	.	.	PUNCT
easat-10581	286	1	https://doi.org/10.1016/0001-4575(93)90034-t	https://doi.org/10.1016/0001-4575(93)90034-t	PROPN
easat-10581	287	1	[	[	X
easat-10581	287	2	7	7	X
easat-10581	287	3	]	]	X
easat-10581	287	4	r.	r.	PROPN
easat-10581	287	5	furlonge	furlonge	PROPN
easat-10581	287	6	,	,	PUNCT
easat-10581	287	7	"	"	PUNCT
easat-10581	287	8	road	road	NOUN
easat-10581	287	9	fatality	fatality	NOUN
easat-10581	287	10	modelling	modelling	NOUN
easat-10581	287	11	in	in	ADP
easat-10581	287	12	trinidad	trinidad	PROPN
easat-10581	287	13	and	and	CCONJ
easat-10581	287	14	tobago	tobago	PROPN
easat-10581	287	15	,	,	PUNCT
easat-10581	287	16	"	"	PUNCT
easat-10581	287	17	west	west	PROPN
easat-10581	287	18	indian	indian	PROPN
easat-10581	287	19	journal	journal	PROPN
easat-10581	287	20	of	of	ADP
easat-10581	287	21	engineering	engineering	NOUN
easat-10581	287	22	,	,	PUNCT
easat-10581	287	23	vol	vol	NOUN
easat-10581	287	24	.	.	PROPN
easat-10581	287	25	19	19	NUM
easat-10581	287	26	,	,	PUNCT
easat-10581	287	27	no	no	INTJ
easat-10581	287	28	.	.	NOUN
easat-10581	287	29	1	1	NUM
easat-10581	287	30	,	,	PUNCT
easat-10581	287	31	pp	pp	ADJ
easat-10581	287	32	.	.	PUNCT
easat-10581	288	1	10	10	NUM
easat-10581	288	2	-	-	SYM
easat-10581	288	3	15	15	NUM
easat-10581	288	4	,	,	PUNCT
easat-10581	288	5	1996	1996	NUM
easat-10581	288	6	.	.	PUNCT
easat-10581	289	1	[	[	X
easat-10581	289	2	8	8	X
easat-10581	289	3	]	]	PUNCT
easat-10581	289	4	j.	j.	PROPN
easat-10581	289	5	kononov	kononov	PROPN
easat-10581	289	6	,	,	PUNCT
easat-10581	289	7	road	road	NOUN
easat-10581	289	8	accident	accident	NOUN
easat-10581	289	9	prediction	prediction	NOUN
easat-10581	289	10	modeling	modeling	NOUN
easat-10581	289	11	and	and	CCONJ
easat-10581	289	12	diagnostics	diagnostic	NOUN
easat-10581	289	13	of	of	ADP
easat-10581	289	14	accident	accident	NOUN
easat-10581	289	15	causality	causality	NOUN
easat-10581	289	16	:	:	PUNCT
easat-10581	289	17	a	a	DET
easat-10581	289	18	comprehensive	comprehensive	ADJ
easat-10581	289	19	methodology	methodology	NOUN
easat-10581	289	20	.	.	PUNCT
easat-10581	290	1	denver	denver	PROPN
easat-10581	290	2	:	:	PUNCT
easat-10581	290	3	university	university	NOUN
easat-10581	290	4	of	of	ADP
easat-10581	290	5	colorado	colorado	PROPN
easat-10581	290	6	at	at	ADP
easat-10581	290	7	denver	denver	PROPN
easat-10581	290	8	,	,	PUNCT
easat-10581	290	9	2002	2002	NUM
easat-10581	290	10	.	.	PUNCT
easat-10581	291	1	[	[	X
easat-10581	291	2	9	9	NUM
easat-10581	291	3	]	]	X
easat-10581	291	4	l.	l.	PROPN
easat-10581	291	5	larsen	larsen	PROPN
easat-10581	291	6	,	,	PUNCT
easat-10581	291	7	"	"	PUNCT
easat-10581	291	8	methods	method	NOUN
easat-10581	291	9	of	of	ADP
easat-10581	291	10	multidisciplinary	multidisciplinary	ADJ
easat-10581	291	11	in	in	ADP
easat-10581	291	12	-	-	PUNCT
easat-10581	291	13	depth	depth	NOUN
easat-10581	291	14	analyses	analysis	NOUN
easat-10581	291	15	of	of	ADP
easat-10581	291	16	road	road	NOUN
easat-10581	291	17	traffic	traffic	NOUN
easat-10581	291	18	accidents	accident	NOUN
easat-10581	291	19	,	,	PUNCT
easat-10581	291	20	"	"	PUNCT
easat-10581	291	21	journal	journal	NOUN
easat-10581	291	22	of	of	ADP
easat-10581	291	23	hazardous	hazardous	ADJ
easat-10581	291	24	materials	material	NOUN
easat-10581	291	25	,	,	PUNCT
easat-10581	291	26	vol	vol	NOUN
easat-10581	291	27	.	.	NOUN
easat-10581	291	28	111	111	NUM
easat-10581	291	29	,	,	PUNCT
easat-10581	291	30	no	no	NOUN
easat-10581	291	31	.	.	NOUN
easat-10581	291	32	1	1	NUM
easat-10581	291	33	-	-	SYM
easat-10581	291	34	3	3	NUM
easat-10581	291	35	,	,	PUNCT
easat-10581	291	36	pp	pp	ADJ
easat-10581	291	37	.	.	PUNCT
easat-10581	292	1	115	115	NUM
easat-10581	292	2	-	-	SYM
easat-10581	292	3	122	122	NUM
easat-10581	292	4	,	,	PUNCT
easat-10581	292	5	2004	2004	NUM
easat-10581	292	6	.	.	PUNCT
easat-10581	293	1	https://doi.org/10.1016/j.jhazmat.2004.02.019	https://doi.org/10.1016/j.jhazmat.2004.02.019	NUM
easat-10581	293	2	[	[	X
easat-10581	293	3	10	10	NUM
easat-10581	293	4	]	]	X
easat-10581	293	5	m.	m.	NOUN
easat-10581	293	6	lnenicka	lnenicka	PROPN
easat-10581	293	7	,	,	PUNCT
easat-10581	293	8	j.	j.	PROPN
easat-10581	293	9	hovad	hovad	PROPN
easat-10581	293	10	,	,	PUNCT
easat-10581	293	11	j.	j.	PROPN
easat-10581	293	12	komarkova	komarkova	PROPN
easat-10581	293	13	,	,	PUNCT
easat-10581	293	14	and	and	CCONJ
easat-10581	293	15	m.	m.	NOUN
easat-10581	293	16	pasler	pasler	NOUN
easat-10581	293	17	,	,	PUNCT
easat-10581	293	18	"	"	PUNCT
easat-10581	293	19	a	a	DET
easat-10581	293	20	proposal	proposal	NOUN
easat-10581	293	21	of	of	ADP
easat-10581	293	22	web	web	NOUN
easat-10581	293	23	data	datum	NOUN
easat-10581	293	24	mining	mining	NOUN
easat-10581	293	25	application	application	NOUN
easat-10581	293	26	for	for	ADP
easat-10581	293	27	mapping	mapping	NOUN
easat-10581	293	28	crime	crime	NOUN
easat-10581	293	29	areas	area	NOUN
easat-10581	293	30	in	in	ADP
easat-10581	293	31	the	the	DET
easat-10581	293	32	czech	czech	PROPN
easat-10581	293	33	republic	republic	NOUN
easat-10581	293	34	,	,	PUNCT
easat-10581	293	35	"	"	PUNCT
easat-10581	293	36	presented	present	VERB
easat-10581	293	37	at	at	ADP
easat-10581	293	38	the	the	DET
easat-10581	293	39	international	international	ADJ
easat-10581	293	40	joint	joint	ADJ
easat-10581	293	41	conference	conference	NOUN
easat-10581	293	42	on	on	ADP
easat-10581	293	43	software	software	NOUN
easat-10581	293	44	technologies	technology	NOUN
easat-10581	293	45	(	(	PUNCT
easat-10581	293	46	icsoft	icsoft	ADJ
easat-10581	293	47	)	)	PUNCT
easat-10581	293	48	,	,	PUNCT
easat-10581	293	49	colmar	colmar	PROPN
easat-10581	293	50	,	,	PUNCT
easat-10581	293	51	france	france	PROPN
easat-10581	293	52	,	,	PUNCT
easat-10581	293	53	2016	2016	NUM
easat-10581	293	54	.	.	PUNCT
easat-10581	294	1	[	[	X
easat-10581	294	2	11	11	NUM
easat-10581	294	3	]	]	PUNCT
easat-10581	294	4	a.	a.	NOUN
easat-10581	294	5	a.	a.	PROPN
easat-10581	294	6	biswas	biswas	PROPN
easat-10581	294	7	,	,	PUNCT
easat-10581	294	8	m.	m.	PROPN
easat-10581	294	9	j.	j.	PROPN
easat-10581	294	10	mia	mia	PROPN
easat-10581	294	11	,	,	PUNCT
easat-10581	294	12	and	and	CCONJ
easat-10581	294	13	a.	a.	NOUN
easat-10581	294	14	majumder	majumder	NOUN
easat-10581	294	15	,	,	PUNCT
easat-10581	294	16	"	"	PUNCT
easat-10581	294	17	forecasting	forecast	VERB
easat-10581	294	18	the	the	DET
easat-10581	294	19	number	number	NOUN
easat-10581	294	20	of	of	ADP
easat-10581	294	21	road	road	NOUN
easat-10581	294	22	accidents	accident	NOUN
easat-10581	294	23	and	and	CCONJ
easat-10581	294	24	casualties	casualty	NOUN
easat-10581	294	25	using	use	VERB
easat-10581	294	26	random	random	ADJ
easat-10581	294	27	forest	forest	NOUN
easat-10581	294	28	regression	regression	NOUN
easat-10581	294	29	in	in	ADP
easat-10581	294	30	the	the	DET
easat-10581	294	31	context	context	NOUN
easat-10581	294	32	of	of	ADP
easat-10581	294	33	bangladesh	bangladesh	NOUN
easat-10581	294	34	,	,	PUNCT
easat-10581	294	35	"	"	PUNCT
easat-10581	294	36	presented	present	VERB
easat-10581	294	37	at	at	ADP
easat-10581	294	38	the	the	DET
easat-10581	294	39	international	international	ADJ
easat-10581	294	40	conference	conference	NOUN
easat-10581	294	41	on	on	ADP
easat-10581	294	42	computing	computing	NOUN
easat-10581	294	43	,	,	PUNCT
easat-10581	294	44	communication	communication	NOUN
easat-10581	294	45	and	and	CCONJ
easat-10581	294	46	networking	networking	NOUN
easat-10581	294	47	technologies	technology	NOUN
easat-10581	294	48	(	(	PUNCT
easat-10581	294	49	icccnt	icccnt	ADJ
easat-10581	294	50	)	)	PUNCT
easat-10581	294	51	,	,	PUNCT
easat-10581	294	52	kanpur	kanpur	PROPN
easat-10581	294	53	,	,	PUNCT
easat-10581	294	54	india	india	PROPN
easat-10581	294	55	,	,	PUNCT
easat-10581	294	56	2019	2019	NUM
easat-10581	294	57	.	.	PUNCT
easat-10581	295	1	[	[	X
easat-10581	295	2	12	12	NUM
easat-10581	295	3	]	]	PUNCT
easat-10581	295	4	m.	m.	PROPN
easat-10581	295	5	a.	a.	PROPN
easat-10581	295	6	b.	b.	PROPN
easat-10581	295	7	siddik	siddik	PROPN
easat-10581	295	8	,	,	PUNCT
easat-10581	295	9	m.	m.	PROPN
easat-10581	295	10	s.	s.	PROPN
easat-10581	295	11	arman	arman	PROPN
easat-10581	295	12	,	,	PUNCT
easat-10581	295	13	a.	a.	PROPN
easat-10581	295	14	hasan	hasan	PROPN
easat-10581	295	15	,	,	PUNCT
easat-10581	295	16	m.	m.	PROPN
easat-10581	295	17	r.	r.	PROPN
easat-10581	295	18	jahan	jahan	PROPN
easat-10581	295	19	,	,	PUNCT
easat-10581	295	20	m.	m.	PROPN
easat-10581	295	21	islam	islam	PROPN
easat-10581	295	22	,	,	PUNCT
easat-10581	295	23	and	and	CCONJ
easat-10581	295	24	k.	k.	PROPN
easat-10581	295	25	b.	b.	PROPN
easat-10581	295	26	b.	b.	PROPN
easat-10581	295	27	biplob	biplob	PROPN
easat-10581	295	28	,	,	PUNCT
easat-10581	295	29	"	"	PUNCT
easat-10581	295	30	predicting	predict	VERB
easat-10581	295	31	the	the	DET
easat-10581	295	32	death	death	NOUN
easat-10581	295	33	of	of	ADP
easat-10581	295	34	road	road	NOUN
easat-10581	295	35	accidents	accident	NOUN
easat-10581	295	36	in	in	ADP
easat-10581	295	37	bangladesh	bangladesh	NOUN
easat-10581	295	38	using	use	VERB
easat-10581	295	39	machine	machine	NOUN
easat-10581	295	40	learning	learning	NOUN
easat-10581	295	41	algorithms	algorithm	NOUN
easat-10581	295	42	,	,	PUNCT
easat-10581	295	43	"	"	PUNCT
easat-10581	295	44	presented	present	VERB
easat-10581	295	45	at	at	ADP
easat-10581	295	46	the	the	DET
easat-10581	295	47	international	international	ADJ
easat-10581	295	48	conference	conference	NOUN
easat-10581	295	49	on	on	ADP
easat-10581	295	50	advances	advance	NOUN
easat-10581	295	51	in	in	ADP
easat-10581	295	52	computing	computing	NOUN
easat-10581	295	53	and	and	CCONJ
easat-10581	295	54	data	datum	NOUN
easat-10581	295	55	sciences	science	NOUN
easat-10581	295	56	,	,	PUNCT
easat-10581	295	57	2021	2021	NUM
easat-10581	295	58	.	.	PUNCT
easat-10581	296	1	[	[	X
easat-10581	296	2	13	13	NUM
easat-10581	296	3	]	]	PUNCT
easat-10581	296	4	l.	l.	PROPN
easat-10581	296	5	chen	chen	PROPN
easat-10581	296	6	and	and	CCONJ
easat-10581	296	7	p.	p.	PROPN
easat-10581	296	8	wang	wang	PROPN
easat-10581	296	9	,	,	PUNCT
easat-10581	296	10	"	"	PUNCT
easat-10581	296	11	risk	risk	NOUN
easat-10581	296	12	factor	factor	NOUN
easat-10581	296	13	analysis	analysis	NOUN
easat-10581	296	14	of	of	ADP
easat-10581	296	15	traffic	traffic	NOUN
easat-10581	296	16	accident	accident	NOUN
easat-10581	296	17	for	for	ADP
easat-10581	296	18	different	different	ADJ
easat-10581	296	19	age	age	NOUN
easat-10581	296	20	group	group	NOUN
easat-10581	296	21	based	base	VERB
easat-10581	296	22	on	on	ADP
easat-10581	296	23	adaptive	adaptive	ADJ
easat-10581	296	24	boosting	boosting	NOUN
easat-10581	296	25	,	,	PUNCT
easat-10581	296	26	"	"	PUNCT
easat-10581	296	27	presented	present	VERB
easat-10581	296	28	at	at	ADP
easat-10581	296	29	the	the	DET
easat-10581	296	30	international	international	ADJ
easat-10581	296	31	conference	conference	NOUN
easat-10581	296	32	on	on	ADP
easat-10581	296	33	transportation	transportation	NOUN
easat-10581	296	34	information	information	NOUN
easat-10581	296	35	and	and	CCONJ
easat-10581	296	36	safety	safety	NOUN
easat-10581	296	37	(	(	PUNCT
easat-10581	296	38	ictis	ictis	PROPN
easat-10581	296	39	)	)	PUNCT
easat-10581	296	40	,	,	PUNCT
easat-10581	296	41	2017	2017	NUM
easat-10581	296	42	.	.	PUNCT
easat-10581	297	1	[	[	X
easat-10581	297	2	14	14	NUM
easat-10581	297	3	]	]	X
easat-10581	297	4	h.	h.	PROPN
easat-10581	297	5	zhao	zhao	PROPN
easat-10581	297	6	,	,	PUNCT
easat-10581	297	7	h.	h.	PROPN
easat-10581	297	8	yu	yu	PROPN
easat-10581	297	9	,	,	PUNCT
easat-10581	297	10	d.	d.	PROPN
easat-10581	297	11	li	li	PROPN
easat-10581	297	12	,	,	PUNCT
easat-10581	297	13	t.	t.	PROPN
easat-10581	297	14	mao	mao	PROPN
easat-10581	297	15	,	,	PUNCT
easat-10581	297	16	and	and	CCONJ
easat-10581	297	17	h.	h.	PROPN
easat-10581	297	18	zhu	zhu	PROPN
easat-10581	297	19	,	,	PUNCT
easat-10581	297	20	"	"	PUNCT
easat-10581	297	21	vehicle	vehicle	NOUN
easat-10581	297	22	accident	accident	NOUN
easat-10581	297	23	risk	risk	NOUN
easat-10581	297	24	prediction	prediction	NOUN
easat-10581	297	25	based	base	VERB
easat-10581	297	26	on	on	ADP
easat-10581	297	27	adaboost	adaboost	ADV
easat-10581	297	28	-	-	PUNCT
easat-10581	297	29	so	so	ADV
easat-10581	297	30	in	in	ADP
easat-10581	297	31	vanets	vanet	NOUN
easat-10581	297	32	,	,	PUNCT
easat-10581	297	33	"	"	PUNCT
easat-10581	297	34	ieee	ieee	NOUN
easat-10581	297	35	access	access	NOUN
easat-10581	297	36	,	,	PUNCT
easat-10581	297	37	vol	vol	NOUN
easat-10581	297	38	.	.	PROPN
easat-10581	297	39	7	7	NUM
easat-10581	297	40	,	,	PUNCT
easat-10581	297	41	pp	pp	ADJ
easat-10581	297	42	.	.	PUNCT
easat-10581	297	43	14549	14549	NUM
easat-10581	297	44	-	-	SYM
easat-10581	297	45	14557	14557	NUM
easat-10581	297	46	,	,	PUNCT
easat-10581	297	47	2019	2019	NUM
easat-10581	297	48	.	.	PUNCT
easat-10581	298	1	https://doi.org/10.1109/access.2019.2894176	https://doi.org/10.1109/access.2019.2894176	PROPN
easat-10581	299	1	[	[	X
easat-10581	299	2	15	15	NUM
easat-10581	299	3	]	]	X
easat-10581	299	4	r.	r.	PROPN
easat-10581	299	5	e.	e.	PROPN
easat-10581	299	6	almamlook	almamlook	PROPN
easat-10581	299	7	,	,	PUNCT
easat-10581	299	8	k.	k.	PROPN
easat-10581	299	9	m.	m.	PROPN
easat-10581	299	10	kwayu	kwayu	PROPN
easat-10581	299	11	,	,	PUNCT
easat-10581	299	12	m.	m.	PROPN
easat-10581	299	13	r.	r.	PROPN
easat-10581	299	14	alkasisbeh	alkasisbeh	PROPN
easat-10581	299	15	,	,	PUNCT
easat-10581	299	16	and	and	CCONJ
easat-10581	299	17	a.	a.	NOUN
easat-10581	299	18	a.	a.	NOUN
easat-10581	299	19	frefer	frefer	NOUN
easat-10581	299	20	,	,	PUNCT
easat-10581	299	21	"	"	PUNCT
easat-10581	299	22	comparison	comparison	NOUN
easat-10581	299	23	of	of	ADP
easat-10581	299	24	machine	machine	NOUN
easat-10581	299	25	learning	learn	VERB
easat-10581	299	26	algorithms	algorithm	NOUN
easat-10581	299	27	for	for	ADP
easat-10581	299	28	predicting	predict	VERB
easat-10581	299	29	traffic	traffic	NOUN
easat-10581	299	30	accident	accident	NOUN
easat-10581	299	31	severity	severity	NOUN
easat-10581	299	32	,	,	PUNCT
easat-10581	299	33	"	"	PUNCT
easat-10581	299	34	presented	present	VERB
easat-10581	299	35	at	at	ADP
easat-10581	299	36	the	the	DET
easat-10581	299	37	2019	2019	NUM
easat-10581	299	38	ieee	ieee	NOUN
easat-10581	299	39	jordan	jordan	PROPN
easat-10581	299	40	international	international	PROPN
easat-10581	299	41	joint	joint	ADJ
easat-10581	299	42	conference	conference	NOUN
easat-10581	299	43	on	on	ADP
easat-10581	299	44	electrical	electrical	ADJ
easat-10581	299	45	engineering	engineering	NOUN
easat-10581	299	46	and	and	CCONJ
easat-10581	299	47	information	information	NOUN
easat-10581	299	48	technology	technology	NOUN
easat-10581	299	49	,	,	PUNCT
easat-10581	299	50	2019	2019	NUM
easat-10581	299	51	.	.	PUNCT
easat-10581	300	1	[	[	X
easat-10581	300	2	16	16	NUM
easat-10581	300	3	]	]	X
easat-10581	300	4	s.	s.	PROPN
easat-10581	300	5	elyassami	elyassami	PROPN
easat-10581	300	6	,	,	PUNCT
easat-10581	300	7	y.	y.	PROPN
easat-10581	300	8	hamid	hamid	PROPN
easat-10581	300	9	,	,	PUNCT
easat-10581	300	10	and	and	CCONJ
easat-10581	300	11	t.	t.	PROPN
easat-10581	300	12	habuza	habuza	PROPN
easat-10581	300	13	,	,	PUNCT
easat-10581	300	14	"	"	PUNCT
easat-10581	300	15	road	road	NOUN
easat-10581	300	16	crashes	crash	VERB
easat-10581	300	17	analysis	analysis	NOUN
easat-10581	300	18	and	and	CCONJ
easat-10581	300	19	prediction	prediction	NOUN
easat-10581	300	20	using	use	VERB
easat-10581	300	21	gradient	gradient	NOUN
easat-10581	300	22	boosted	boost	VERB
easat-10581	300	23	and	and	CCONJ
easat-10581	300	24	random	random	ADJ
easat-10581	300	25	forest	forest	NOUN
easat-10581	300	26	trees	tree	NOUN
easat-10581	300	27	,	,	PUNCT
easat-10581	300	28	"	"	PUNCT
easat-10581	300	29	presented	present	VERB
easat-10581	300	30	at	at	ADP
easat-10581	300	31	the	the	DET
easat-10581	300	32	ieee	ieee	NOUN
easat-10581	300	33	congress	congress	PROPN
easat-10581	300	34	on	on	ADP
easat-10581	300	35	information	information	NOUN
easat-10581	300	36	science	science	NOUN
easat-10581	300	37	and	and	CCONJ
easat-10581	300	38	technology	technology	NOUN
easat-10581	300	39	(	(	PUNCT
easat-10581	300	40	cist	cist	NOUN
easat-10581	300	41	)	)	PUNCT
easat-10581	300	42	,	,	PUNCT
easat-10581	300	43	2021	2021	NUM
easat-10581	300	44	.	.	PUNCT
easat-10581	301	1	[	[	X
easat-10581	301	2	17	17	NUM
easat-10581	301	3	]	]	PUNCT
easat-10581	301	4	m.-m	m.-m	PROPN
easat-10581	301	5	.	.	PUNCT
easat-10581	302	1	chen	chen	PROPN
easat-10581	302	2	and	and	CCONJ
easat-10581	302	3	m.-c	m.-c	PROPN
easat-10581	302	4	.	.	PUNCT
easat-10581	303	1	chen	chen	PROPN
easat-10581	303	2	,	,	PUNCT
easat-10581	303	3	"	"	PUNCT
easat-10581	303	4	modeling	model	VERB
easat-10581	303	5	road	road	NOUN
easat-10581	303	6	accident	accident	NOUN
easat-10581	303	7	severity	severity	NOUN
easat-10581	303	8	with	with	ADP
easat-10581	303	9	comparisons	comparison	NOUN
easat-10581	303	10	of	of	ADP
easat-10581	303	11	logistic	logistic	ADJ
easat-10581	303	12	regression	regression	NOUN
easat-10581	303	13	,	,	PUNCT
easat-10581	303	14	decision	decision	NOUN
easat-10581	303	15	tree	tree	NOUN
easat-10581	303	16	and	and	CCONJ
easat-10581	303	17	random	random	ADJ
easat-10581	303	18	forest	forest	NOUN
easat-10581	303	19	,	,	PUNCT
easat-10581	303	20	"	"	PUNCT
easat-10581	303	21	information	information	NOUN
easat-10581	303	22	,	,	PUNCT
easat-10581	303	23	vol	vol	NOUN
easat-10581	303	24	.	.	PROPN
easat-10581	303	25	11	11	NUM
easat-10581	303	26	,	,	PUNCT
easat-10581	303	27	no	no	INTJ
easat-10581	303	28	.	.	NOUN
easat-10581	303	29	5	5	NUM
easat-10581	303	30	,	,	PUNCT
easat-10581	303	31	p.	p.	NOUN
easat-10581	303	32	270	270	NUM
easat-10581	303	33	,	,	PUNCT
easat-10581	303	34	2020	2020	NUM
easat-10581	303	35	.	.	PUNCT
easat-10581	304	1	https://doi.org/10.3390/info11050270	https://doi.org/10.3390/info11050270	PROPN
easat-10581	304	2	[	[	X
easat-10581	304	3	18	18	NUM
easat-10581	304	4	]	]	PUNCT
easat-10581	304	5	m.	m.	NOUN
easat-10581	304	6	yan	yan	PROPN
easat-10581	304	7	and	and	CCONJ
easat-10581	304	8	y.	y.	PROPN
easat-10581	304	9	shen	shen	PROPN
easat-10581	304	10	,	,	PUNCT
easat-10581	304	11	"	"	PUNCT
easat-10581	304	12	traffic	traffic	NOUN
easat-10581	304	13	accident	accident	NOUN
easat-10581	304	14	severity	severity	NOUN
easat-10581	304	15	prediction	prediction	NOUN
easat-10581	304	16	based	base	VERB
easat-10581	304	17	on	on	ADP
easat-10581	304	18	random	random	ADJ
easat-10581	304	19	forest	forest	NOUN
easat-10581	304	20	,	,	PUNCT
easat-10581	304	21	"	"	PUNCT
easat-10581	304	22	sustainability	sustainability	NOUN
easat-10581	304	23	,	,	PUNCT
easat-10581	304	24	vol	vol	NOUN
easat-10581	304	25	.	.	PROPN
easat-10581	304	26	14	14	NUM
easat-10581	304	27	,	,	PUNCT
easat-10581	304	28	no	no	INTJ
easat-10581	304	29	.	.	NOUN
easat-10581	304	30	3	3	NUM
easat-10581	304	31	,	,	PUNCT
easat-10581	304	32	p.	p.	NOUN
easat-10581	304	33	1729	1729	NUM
easat-10581	304	34	,	,	PUNCT
easat-10581	304	35	2022	2022	NUM
easat-10581	304	36	.	.	PUNCT
easat-10581	305	1	https://doi.org/10.3390/su14031729	https://doi.org/10.3390/su14031729	X
easat-10581	306	1	[	[	X
easat-10581	306	2	19	19	NUM
easat-10581	306	3	]	]	X
easat-10581	306	4	i.	i.	NOUN
easat-10581	306	5	karamanlis	karamanlis	PROPN
easat-10581	306	6	,	,	PUNCT
easat-10581	306	7	a.	a.	PROPN
easat-10581	306	8	kokkalis	kokkalis	PROPN
easat-10581	306	9	,	,	PUNCT
easat-10581	306	10	v.	v.	ADP
easat-10581	306	11	profillidis	profillidis	PROPN
easat-10581	306	12	,	,	PUNCT
easat-10581	306	13	g.	g.	PROPN
easat-10581	306	14	botzoris	botzoris	PROPN
easat-10581	306	15	,	,	PUNCT
easat-10581	306	16	and	and	CCONJ
easat-10581	306	17	a.	a.	NOUN
easat-10581	306	18	galanis	galanis	PROPN
easat-10581	306	19	,	,	PUNCT
easat-10581	306	20	"	"	PUNCT
easat-10581	306	21	identifying	identify	VERB
easat-10581	306	22	road	road	NOUN
easat-10581	306	23	accident	accident	NOUN
easat-10581	306	24	black	black	ADJ
easat-10581	306	25	spots	spot	NOUN
easat-10581	306	26	using	use	VERB
easat-10581	306	27	classical	classical	ADJ
easat-10581	306	28	and	and	CCONJ
easat-10581	306	29	modern	modern	ADJ
easat-10581	306	30	approaches	approach	NOUN
easat-10581	306	31	,	,	PUNCT
easat-10581	306	32	"	"	PUNCT
easat-10581	306	33	wseas	wsea	VERB
easat-10581	306	34	transactions	transaction	NOUN
easat-10581	306	35	on	on	ADP
easat-10581	306	36	systems	system	NOUN
easat-10581	306	37	,	,	PUNCT
easat-10581	306	38	vol	vol	NOUN
easat-10581	306	39	.	.	PROPN
easat-10581	306	40	22	22	NUM
easat-10581	306	41	,	,	PUNCT
easat-10581	306	42	pp	pp	ADJ
easat-10581	306	43	.	.	PUNCT
easat-10581	307	1	556	556	NUM
easat-10581	307	2	-	-	SYM
easat-10581	307	3	565	565	NUM
easat-10581	307	4	,	,	PUNCT
easat-10581	307	5	2023	2023	NUM
easat-10581	307	6	.	.	PUNCT
easat-10581	308	1	[	[	X
easat-10581	308	2	20	20	NUM
easat-10581	308	3	]	]	PUNCT
easat-10581	308	4	s.	s.	PROPN
easat-10581	308	5	dong	dong	PROPN
easat-10581	308	6	,	,	PUNCT
easat-10581	308	7	a.	a.	PROPN
easat-10581	308	8	khattak	khattak	PROPN
easat-10581	308	9	,	,	PUNCT
easat-10581	308	10	i.	i.	PROPN
easat-10581	308	11	ullah	ullah	PROPN
easat-10581	308	12	,	,	PUNCT
easat-10581	308	13	j.	j.	PROPN
easat-10581	308	14	zhou	zhou	PROPN
easat-10581	308	15	,	,	PUNCT
easat-10581	308	16	and	and	CCONJ
easat-10581	308	17	a.	a.	NOUN
easat-10581	308	18	hussain	hussain	PROPN
easat-10581	308	19	,	,	PUNCT
easat-10581	308	20	"	"	PUNCT
easat-10581	308	21	predicting	predict	VERB
easat-10581	308	22	and	and	CCONJ
easat-10581	308	23	analyzing	analyze	VERB
easat-10581	308	24	road	road	NOUN
easat-10581	308	25	traffic	traffic	NOUN
easat-10581	308	26	injury	injury	NOUN
easat-10581	308	27	severity	severity	NOUN
easat-10581	308	28	using	use	VERB
easat-10581	308	29	boosting	boost	VERB
easat-10581	308	30	-	-	PUNCT
easat-10581	308	31	based	base	VERB
easat-10581	308	32	ensemble	ensemble	ADJ
easat-10581	308	33	learning	learning	NOUN
easat-10581	308	34	models	model	NOUN
easat-10581	308	35	with	with	ADP
easat-10581	308	36	shapley	shapley	ADJ
easat-10581	308	37	additive	additive	ADJ
easat-10581	308	38	explanations	explanation	NOUN
easat-10581	308	39	,	,	PUNCT
easat-10581	308	40	"	"	PUNCT
easat-10581	308	41	international	international	ADJ
easat-10581	308	42	journal	journal	NOUN
easat-10581	308	43	of	of	ADP
easat-10581	308	44	environmental	environmental	ADJ
easat-10581	308	45	research	research	NOUN
easat-10581	308	46	and	and	CCONJ
easat-10581	308	47	public	public	ADJ
easat-10581	308	48	health	health	NOUN
easat-10581	308	49	,	,	PUNCT
easat-10581	308	50	vol	vol	NOUN
easat-10581	308	51	.	.	PROPN
easat-10581	308	52	19	19	NUM
easat-10581	308	53	,	,	PUNCT
easat-10581	308	54	no	no	INTJ
easat-10581	308	55	.	.	NOUN
easat-10581	308	56	5	5	NUM
easat-10581	308	57	,	,	PUNCT
easat-10581	308	58	p.	p.	NOUN
easat-10581	308	59	2925	2925	NUM
easat-10581	308	60	,	,	PUNCT
easat-10581	308	61	2022	2022	NUM
easat-10581	308	62	.	.	PUNCT
easat-10581	308	63	https://doi.org/10.3390/ijerph19052925	https://doi.org/10.3390/ijerph19052925	PROPN
easat-10581	309	1	[	[	X
easat-10581	309	2	21	21	NUM
easat-10581	309	3	]	]	X
easat-10581	309	4	g.	g.	PROPN
easat-10581	309	5	mahendra	mahendra	PROPN
easat-10581	309	6	and	and	CCONJ
easat-10581	309	7	h.	h.	PROPN
easat-10581	309	8	r.	r.	PROPN
easat-10581	309	9	roopashree	roopashree	PROPN
easat-10581	309	10	,	,	PUNCT
easat-10581	309	11	"	"	PUNCT
easat-10581	309	12	prediction	prediction	NOUN
easat-10581	309	13	of	of	ADP
easat-10581	309	14	road	road	NOUN
easat-10581	309	15	accidents	accident	NOUN
easat-10581	309	16	in	in	ADP
easat-10581	309	17	the	the	DET
easat-10581	309	18	different	different	ADJ
easat-10581	309	19	states	state	NOUN
easat-10581	309	20	of	of	ADP
easat-10581	309	21	india	india	PROPN
easat-10581	309	22	using	use	VERB
easat-10581	309	23	machine	machine	NOUN
easat-10581	309	24	learning	learning	NOUN
easat-10581	309	25	algorithms	algorithm	NOUN
easat-10581	309	26	,	,	PUNCT
easat-10581	309	27	"	"	PUNCT
easat-10581	309	28	presented	present	VERB
easat-10581	309	29	at	at	ADP
easat-10581	309	30	the	the	DET
easat-10581	309	31	2023	2023	NUM
easat-10581	309	32	ieee	ieee	NOUN
easat-10581	309	33	international	international	ADJ
easat-10581	309	34	conference	conference	NOUN
easat-10581	309	35	on	on	ADP
easat-10581	309	36	integrated	integrate	VERB
easat-10581	309	37	circuits	circuit	NOUN
easat-10581	309	38	and	and	CCONJ
easat-10581	309	39	communication	communication	NOUN
easat-10581	309	40	systems	system	NOUN
easat-10581	309	41	(	(	PUNCT
easat-10581	309	42	icicacs	icicac	NOUN
easat-10581	309	43	)	)	PUNCT
easat-10581	309	44	,	,	PUNCT
easat-10581	309	45	raichur	raichur	PROPN
easat-10581	309	46	,	,	PUNCT
easat-10581	309	47	india	india	PROPN
easat-10581	309	48	,	,	PUNCT
easat-10581	309	49	2023	2023	NUM
easat-10581	309	50	.	.	PUNCT
easat-10581	310	1	[	[	X
easat-10581	310	2	22	22	NUM
easat-10581	310	3	]	]	PUNCT
easat-10581	310	4	l.	l.	PROPN
easat-10581	310	5	richardson	richardson	PROPN
easat-10581	310	6	,	,	PUNCT
easat-10581	310	7	"	"	PUNCT
easat-10581	310	8	beautiful	beautiful	ADJ
easat-10581	310	9	soup	soup	NOUN
easat-10581	310	10	.	.	PUNCT
easat-10581	311	1	crummy	crummy	ADJ
easat-10581	311	2	,	,	PUNCT
easat-10581	311	3	"	"	PUNCT
easat-10581	311	4	2024	2024	NUM
easat-10581	311	5	.	.	PUNCT
easat-10581	312	1	https://www.crummy.com/software/beautifulsoup/	https://www.crummy.com/software/beautifulsoup/	PROPN
easat-10581	313	1	[	[	X
easat-10581	313	2	23	23	NUM
easat-10581	313	3	]	]	PUNCT
easat-10581	313	4	nltk.org	nltk.org	X
easat-10581	313	5	,	,	PUNCT
easat-10581	313	6	"	"	PUNCT
easat-10581	313	7	natural	natural	ADJ
easat-10581	313	8	language	language	NOUN
easat-10581	313	9	toolkit	toolkit	NOUN
easat-10581	313	10	,	,	PUNCT
easat-10581	313	11	"	"	PUNCT
easat-10581	313	12	2024	2024	NUM
easat-10581	313	13	.	.	PUNCT
easat-10581	314	1	https://www.nltk.org/	https://www.nltk.org/	NOUN
easat-10581	315	1	[	[	X
easat-10581	315	2	24	24	NUM
easat-10581	315	3	]	]	X
easat-10581	315	4	f.	f.	PROPN
easat-10581	315	5	j.	j.	PROPN
easat-10581	315	6	yang	yang	PROPN
easat-10581	315	7	,	,	PUNCT
easat-10581	315	8	"	"	PUNCT
easat-10581	315	9	an	an	DET
easat-10581	315	10	implementation	implementation	NOUN
easat-10581	315	11	of	of	ADP
easat-10581	315	12	naive	naive	ADJ
easat-10581	315	13	bayes	bayes	NOUN
easat-10581	315	14	classifier	classifier	NOUN
easat-10581	315	15	,	,	PUNCT
easat-10581	315	16	"	"	PUNCT
easat-10581	315	17	presented	present	VERB
easat-10581	315	18	at	at	ADP
easat-10581	315	19	the	the	DET
easat-10581	315	20	2018	2018	NUM
easat-10581	315	21	international	international	ADJ
easat-10581	315	22	conference	conference	NOUN
easat-10581	315	23	on	on	ADP
easat-10581	315	24	computational	computational	ADJ
easat-10581	315	25	science	science	NOUN
easat-10581	315	26	and	and	CCONJ
easat-10581	315	27	computational	computational	ADJ
easat-10581	315	28	intelligence	intelligence	NOUN
easat-10581	315	29	(	(	PUNCT
easat-10581	315	30	csci	csci	NOUN
easat-10581	315	31	)	)	PUNCT
easat-10581	315	32	,	,	PUNCT
easat-10581	315	33	2018	2018	NUM
easat-10581	315	34	.	.	PUNCT
easat-10581	316	1	[	[	X
easat-10581	316	2	25	25	NUM
easat-10581	316	3	]	]	X
easat-10581	316	4	e.	e.	PROPN
easat-10581	316	5	bedalli	bedalli	PROPN
easat-10581	316	6	,	,	PUNCT
easat-10581	316	7	e.	e.	PROPN
easat-10581	316	8	mançellari	mançellari	PROPN
easat-10581	316	9	,	,	PUNCT
easat-10581	316	10	and	and	CCONJ
easat-10581	316	11	o.	o.	PROPN
easat-10581	316	12	asilkan	asilkan	PROPN
easat-10581	316	13	,	,	PUNCT
easat-10581	316	14	"	"	PUNCT
easat-10581	316	15	a	a	DET
easat-10581	316	16	heterogeneous	heterogeneous	ADJ
easat-10581	316	17	cluster	cluster	NOUN
easat-10581	316	18	ensemble	ensemble	ADJ
easat-10581	316	19	model	model	NOUN
easat-10581	316	20	for	for	ADP
easat-10581	316	21	improving	improve	VERB
easat-10581	316	22	the	the	DET
easat-10581	316	23	stability	stability	NOUN
easat-10581	316	24	of	of	ADP
easat-10581	316	25	fuzzy	fuzzy	ADJ
easat-10581	316	26	cluster	cluster	NOUN
easat-10581	316	27	analysis	analysis	NOUN
easat-10581	316	28	,	,	PUNCT
easat-10581	316	29	"	"	PUNCT
easat-10581	316	30	procedia	procedia	NOUN
easat-10581	316	31	computer	computer	NOUN
easat-10581	316	32	science	science	NOUN
easat-10581	316	33	,	,	PUNCT
easat-10581	316	34	vol	vol	NOUN
easat-10581	316	35	.	.	PROPN
easat-10581	316	36	102	102	NUM
easat-10581	316	37	,	,	PUNCT
easat-10581	316	38	pp	pp	ADJ
easat-10581	316	39	.	.	PUNCT
easat-10581	316	40	129	129	NUM
easat-10581	316	41	-	-	SYM
easat-10581	316	42	136	136	NUM
easat-10581	316	43	,	,	PUNCT
easat-10581	316	44	2016	2016	NUM
easat-10581	316	45	.	.	PUNCT
easat-10581	317	1	https://doi.org/10.1016/j.procs.2016.09.379	https://doi.org/10.1016/j.procs.2016.09.379	PROPN
easat-10581	318	1	[	[	X
easat-10581	318	2	26	26	NUM
easat-10581	318	3	]	]	X
easat-10581	318	4	y.	y.	PROPN
easat-10581	318	5	ren	ren	PROPN
easat-10581	318	6	,	,	PUNCT
easat-10581	318	7	l.	l.	PROPN
easat-10581	318	8	zhang	zhang	PROPN
easat-10581	318	9	,	,	PUNCT
easat-10581	318	10	and	and	CCONJ
easat-10581	318	11	p.	p.	PROPN
easat-10581	318	12	n.	n.	PROPN
easat-10581	318	13	suganthan	suganthan	PROPN
easat-10581	318	14	,	,	PUNCT
easat-10581	318	15	"	"	PUNCT
easat-10581	318	16	ensemble	ensemble	ADJ
easat-10581	318	17	classification	classification	NOUN
easat-10581	318	18	and	and	CCONJ
easat-10581	318	19	regression	regression	NOUN
easat-10581	318	20	-	-	PUNCT
easat-10581	318	21	recent	recent	ADJ
easat-10581	318	22	developments	development	NOUN
easat-10581	318	23	,	,	PUNCT
easat-10581	318	24	applications	application	NOUN
easat-10581	318	25	and	and	CCONJ
easat-10581	318	26	future	future	ADJ
easat-10581	318	27	directions	direction	NOUN
easat-10581	318	28	,	,	PUNCT
easat-10581	318	29	"	"	PUNCT
easat-10581	318	30	ieee	ieee	NOUN
easat-10581	318	31	computational	computational	ADJ
easat-10581	318	32	intelligence	intelligence	NOUN
easat-10581	318	33	magazine	magazine	NOUN
easat-10581	318	34	,	,	PUNCT
easat-10581	318	35	vol	vol	NOUN
easat-10581	318	36	.	.	PROPN
easat-10581	318	37	11	11	NUM
easat-10581	318	38	,	,	PUNCT
easat-10581	318	39	no	no	INTJ
easat-10581	318	40	.	.	NOUN
easat-10581	318	41	1	1	NUM
easat-10581	318	42	,	,	PUNCT
easat-10581	318	43	pp	pp	ADJ
easat-10581	318	44	.	.	PUNCT
easat-10581	319	1	41	41	NUM
easat-10581	319	2	-	-	SYM
easat-10581	319	3	53	53	NUM
easat-10581	319	4	,	,	PUNCT
easat-10581	319	5	2016	2016	NUM
easat-10581	319	6	.	.	PUNCT
easat-10581	320	1	https://doi.org/10.1109/mci.2015.2471235	https://doi.org/10.1109/mci.2015.2471235	PROPN
easat-10581	320	2	https://mb.gov.al/wp-content/uploads/2024/12/buletini-mars-2024.pdf	https://mb.gov.al/wp-content/uploads/2024/12/buletini-mars-2024.pdf	PROPN
easat-10581	320	3	https://mb.gov.al/wp-content/uploads/2024/12/buletini-mars-2024.pdf	https://mb.gov.al/wp-content/uploads/2024/12/buletini-mars-2024.pdf	PROPN
easat-10581	320	4	https://doi.org/10.54820/entrenova-2023-0006	https://doi.org/10.54820/entrenova-2023-0006	PROPN
easat-10581	321	1	https://doi.org/10.1016/0001-4575(93)90034-t	https://doi.org/10.1016/0001-4575(93)90034-t	ADV
easat-10581	321	2	https://doi.org/10.1016/j.jhazmat.2004.02.019	https://doi.org/10.1016/j.jhazmat.2004.02.019	NUM
easat-10581	321	3	https://doi.org/10.1109/access.2019.2894176	https://doi.org/10.1109/access.2019.2894176	PROPN
easat-10581	321	4	https://doi.org/10.3390/info11050270	https://doi.org/10.3390/info11050270	PROPN
easat-10581	321	5	https://doi.org/10.3390/su14031729	https://doi.org/10.3390/su14031729	X
easat-10581	321	6	https://doi.org/10.3390/ijerph19052925	https://doi.org/10.3390/ijerph19052925	VERB
easat-10581	321	7	https://www.crummy.com/software/beautifulsoup/	https://www.crummy.com/software/beautifulsoup/	PROPN
easat-10581	321	8	https://www.nltk.org/	https://www.nltk.org/	NOUN
easat-10581	321	9	https://doi.org/10.1016/j.procs.2016.09.379	https://doi.org/10.1016/j.procs.2016.09.379	PROPN
easat-10581	321	10	https://doi.org/10.1109/mci.2015.2471235	https://doi.org/10.1109/mci.2015.2471235	PROPN
easat-10581	321	11	1004	1004	NUM
easat-10581	321	12	edelweiss	edelweiss	PROPN
easat-10581	321	13	applied	apply	VERB
easat-10581	321	14	science	science	NOUN
easat-10581	321	15	and	and	CCONJ
easat-10581	321	16	technology	technology	NOUN
easat-10581	321	17	issn	issn	PROPN
easat-10581	321	18	:	:	PUNCT
easat-10581	321	19	2576	2576	NUM
easat-10581	321	20	-	-	SYM
easat-10581	321	21	8484	8484	NUM
easat-10581	321	22	vol	vol	NOUN
easat-10581	321	23	.	.	PROPN
easat-10581	322	1	9	9	NUM
easat-10581	322	2	,	,	PUNCT
easat-10581	322	3	no	no	INTJ
easat-10581	322	4	.	.	NOUN
easat-10581	322	5	10	10	NUM
easat-10581	322	6	:	:	PUNCT
easat-10581	322	7	992	992	NUM
easat-10581	322	8	-	-	SYM
easat-10581	322	9	1004	1004	NUM
easat-10581	322	10	,	,	PUNCT
easat-10581	322	11	2025	2025	NUM
easat-10581	322	12	doi	doi	NOUN
easat-10581	322	13	:	:	PUNCT
easat-10581	322	14	10.55214/2576	10.55214/2576	NUM
easat-10581	322	15	-	-	SYM
easat-10581	322	16	8484.v9i10.10581	8484.v9i10.10581	NUM
easat-10581	322	17	©	©	ADP
easat-10581	322	18	2025	2025	NUM
easat-10581	322	19	by	by	ADP
easat-10581	322	20	the	the	DET
easat-10581	322	21	authors	author	NOUN
easat-10581	322	22	;	;	PUNCT
easat-10581	322	23	licensee	licensee	PROPN
easat-10581	322	24	learning	learning	NOUN
easat-10581	322	25	gate	gate	NOUN
easat-10581	323	1	[	[	X
easat-10581	323	2	27	27	NUM
easat-10581	323	3	]	]	PUNCT
easat-10581	323	4	t.	t.	PROPN
easat-10581	323	5	chen	chen	PROPN
easat-10581	323	6	and	and	CCONJ
easat-10581	323	7	c.	c.	PROPN
easat-10581	323	8	guestrin	guestrin	PROPN
easat-10581	323	9	,	,	PUNCT
easat-10581	323	10	"	"	PUNCT
easat-10581	323	11	xgboost	xgboost	ADV
easat-10581	323	12	:	:	PUNCT
easat-10581	323	13	a	a	DET
easat-10581	323	14	scalable	scalable	ADJ
easat-10581	323	15	tree	tree	NOUN
easat-10581	323	16	boosting	boost	VERB
easat-10581	323	17	system	system	NOUN
easat-10581	323	18	,	,	PUNCT
easat-10581	323	19	"	"	PUNCT
easat-10581	323	20	in	in	ADP
easat-10581	323	21	proceedings	proceeding	NOUN
easat-10581	323	22	of	of	ADP
easat-10581	323	23	the	the	DET
easat-10581	323	24	22nd	22nd	PROPN
easat-10581	323	25	acm	acm	PROPN
easat-10581	323	26	sigkdd	sigkdd	PROPN
easat-10581	323	27	international	international	ADJ
easat-10581	323	28	conference	conference	NOUN
easat-10581	323	29	on	on	ADP
easat-10581	323	30	knowledge	knowledge	NOUN
easat-10581	323	31	discovery	discovery	PROPN
easat-10581	323	32	and	and	CCONJ
easat-10581	323	33	data	datum	NOUN
easat-10581	323	34	mining	mining	NOUN
easat-10581	323	35	,	,	PUNCT
easat-10581	323	36	2016	2016	NUM
easat-10581	323	37	.	.	PUNCT
easat-10581	324	1	[	[	X
easat-10581	324	2	28	28	NUM
easat-10581	324	3	]	]	X
easat-10581	324	4	p.	p.	PROPN
easat-10581	324	5	zhang	zhang	PROPN
easat-10581	324	6	,	,	PUNCT
easat-10581	324	7	y.	y.	PROPN
easat-10581	324	8	jia	jia	PROPN
easat-10581	324	9	,	,	PUNCT
easat-10581	324	10	and	and	CCONJ
easat-10581	324	11	y.	y.	PROPN
easat-10581	324	12	shang	shang	PROPN
easat-10581	324	13	,	,	PUNCT
easat-10581	324	14	"	"	PUNCT
easat-10581	324	15	research	research	NOUN
easat-10581	324	16	and	and	CCONJ
easat-10581	324	17	application	application	NOUN
easat-10581	324	18	of	of	ADP
easat-10581	324	19	xgboost	xgboost	ADV
easat-10581	324	20	in	in	ADP
easat-10581	324	21	imbalanced	imbalanced	ADJ
easat-10581	324	22	data	datum	NOUN
easat-10581	324	23	,	,	PUNCT
easat-10581	324	24	"	"	PUNCT
easat-10581	324	25	international	international	ADJ
easat-10581	324	26	journal	journal	NOUN
easat-10581	324	27	of	of	ADP
easat-10581	324	28	distributed	distribute	VERB
easat-10581	324	29	sensor	sensor	NOUN
easat-10581	324	30	networks	network	NOUN
easat-10581	324	31	,	,	PUNCT
easat-10581	324	32	vol	vol	NOUN
easat-10581	324	33	.	.	PROPN
easat-10581	324	34	18	18	NUM
easat-10581	324	35	,	,	PUNCT
easat-10581	324	36	no	no	INTJ
easat-10581	324	37	.	.	NOUN
easat-10581	324	38	6	6	NUM
easat-10581	324	39	,	,	PUNCT
easat-10581	324	40	p.	p.	NOUN
easat-10581	324	41	15501329221106935	15501329221106935	NUM
easat-10581	324	42	,	,	PUNCT
easat-10581	324	43	2022	2022	NUM
easat-10581	324	44	.	.	PUNCT
easat-10581	325	1	https://doi.org/10.1177/15501329221106935	https://doi.org/10.1177/15501329221106935	PROPN
easat-10581	326	1	[	[	X
easat-10581	326	2	29	29	NUM
easat-10581	326	3	]	]	X
easat-10581	326	4	g.	g.	PROPN
easat-10581	326	5	ke	ke	PROPN
easat-10581	326	6	et	et	PROPN
easat-10581	326	7	al	al	PROPN
easat-10581	326	8	.	.	PROPN
easat-10581	326	9	,	,	PUNCT
easat-10581	326	10	"	"	PUNCT
easat-10581	326	11	lightgbm	lightgbm	ADJ
easat-10581	326	12	:	:	PUNCT
easat-10581	326	13	a	a	DET
easat-10581	326	14	highly	highly	ADV
easat-10581	326	15	efficient	efficient	ADJ
easat-10581	326	16	gradient	gradient	NOUN
easat-10581	326	17	boosting	boost	VERB
easat-10581	326	18	decision	decision	NOUN
easat-10581	326	19	tree	tree	NOUN
easat-10581	326	20	,	,	PUNCT
easat-10581	326	21	"	"	PUNCT
easat-10581	326	22	in	in	ADP
easat-10581	326	23	proceedings	proceeding	NOUN
easat-10581	326	24	of	of	ADP
easat-10581	326	25	the	the	DET
easat-10581	326	26	31st	31st	ADJ
easat-10581	326	27	international	international	ADJ
easat-10581	326	28	conference	conference	NOUN
easat-10581	326	29	on	on	ADP
easat-10581	326	30	neural	neural	ADJ
easat-10581	326	31	information	information	NOUN
easat-10581	326	32	processing	processing	NOUN
easat-10581	326	33	systems	system	NOUN
easat-10581	326	34	(	(	PUNCT
easat-10581	326	35	nips'17	nips'17	ADJ
easat-10581	326	36	)	)	PUNCT
easat-10581	326	37	.	.	PUNCT
easat-10581	327	1	curran	curran	PROPN
easat-10581	327	2	associates	associates	PROPN
easat-10581	327	3	inc	inc	PROPN
easat-10581	327	4	.	.	PROPN
easat-10581	327	5	,	,	PUNCT
easat-10581	327	6	red	red	ADJ
easat-10581	327	7	hook	hook	NOUN
easat-10581	327	8	,	,	PUNCT
easat-10581	327	9	ny	ny	PROPN
easat-10581	327	10	,	,	PUNCT
easat-10581	327	11	usa	usa	PROPN
easat-10581	327	12	,	,	PUNCT
easat-10581	327	13	2017	2017	NUM
easat-10581	327	14	.	.	PUNCT
easat-10581	328	1	[	[	X
easat-10581	328	2	30	30	NUM
easat-10581	328	3	]	]	X
easat-10581	328	4	o.	o.	PROPN
easat-10581	328	5	alshboul	alshboul	PROPN
easat-10581	328	6	,	,	PUNCT
easat-10581	328	7	g.	g.	PROPN
easat-10581	328	8	almasabha	almasabha	PROPN
easat-10581	328	9	,	,	PUNCT
easat-10581	328	10	a.	a.	NOUN
easat-10581	328	11	shehadeh	shehadeh	PROPN
easat-10581	328	12	,	,	PUNCT
easat-10581	328	13	and	and	CCONJ
easat-10581	328	14	k.	k.	PROPN
easat-10581	328	15	al	al	PROPN
easat-10581	328	16	-	-	PUNCT
easat-10581	328	17	shboul	shboul	PROPN
easat-10581	328	18	,	,	PUNCT
easat-10581	328	19	"	"	PUNCT
easat-10581	328	20	a	a	DET
easat-10581	328	21	comparative	comparative	ADJ
easat-10581	328	22	study	study	NOUN
easat-10581	328	23	of	of	ADP
easat-10581	328	24	lightgbm	lightgbm	ADJ
easat-10581	328	25	,	,	PUNCT
easat-10581	328	26	xgboost	xgboost	ADV
easat-10581	328	27	,	,	PUNCT
easat-10581	328	28	and	and	CCONJ
easat-10581	328	29	gep	gep	NOUN
easat-10581	328	30	models	model	NOUN
easat-10581	328	31	in	in	ADP
easat-10581	328	32	shear	shear	NOUN
easat-10581	328	33	strength	strength	NOUN
easat-10581	328	34	management	management	NOUN
easat-10581	328	35	of	of	ADP
easat-10581	328	36	sfrc	sfrc	NOUN
easat-10581	328	37	-	-	PUNCT
easat-10581	328	38	sbws	sbws	NOUN
easat-10581	328	39	,	,	PUNCT
easat-10581	328	40	"	"	PUNCT
easat-10581	328	41	structures	structure	NOUN
easat-10581	328	42	,	,	PUNCT
easat-10581	328	43	vol	vol	NOUN
easat-10581	328	44	.	.	PROPN
easat-10581	328	45	61	61	NUM
easat-10581	328	46	,	,	PUNCT
easat-10581	328	47	p.	p.	NOUN
easat-10581	328	48	106009	106009	NUM
easat-10581	328	49	,	,	PUNCT
easat-10581	328	50	2024	2024	NUM
easat-10581	328	51	.	.	PUNCT
easat-10581	329	1	https://doi.org/10.1016/j.istruc.2024.106009	https://doi.org/10.1016/j.istruc.2024.106009	PROPN
easat-10581	329	2	https://doi.org/10.1177/15501329221106935	https://doi.org/10.1177/15501329221106935	PROPN
easat-10581	329	3	https://doi.org/10.1016/j.istruc.2024.106009	https://doi.org/10.1016/j.istruc.2024.106009	PROPN