id	sid	tid	token	lemma	pos
brj-22715	1	1	peer	peer	NOUN
brj-22715	1	2	-	-	PUNCT
brj-22715	1	3	review	review	NOUN
brj-22715	1	4	article	article	NOUN
brj-22715	1	5	peer	peer	NOUN
brj-22715	1	6	-	-	PUNCT
brj-22715	1	7	reviewed	review	VERB
brj-22715	1	8	article	article	NOUN
brj-22715	1	9	bioresources.com	bioresources.com	X
brj-22715	1	10	bardak	bardak	PROPN
brj-22715	1	11	et	et	PROPN
brj-22715	1	12	al	al	PROPN
brj-22715	1	13	.	.	PROPN
brj-22715	1	14	(	(	PUNCT
brj-22715	1	15	2023	2023	NUM
brj-22715	1	16	)	)	PUNCT
brj-22715	1	17	.	.	PUNCT
brj-22715	2	1	“	"	PUNCT
brj-22715	2	2	furniture	furniture	NOUN
brj-22715	2	3	prices	price	NOUN
brj-22715	2	4	by	by	ADP
brj-22715	2	5	web	web	NOUN
brj-22715	2	6	mining	mining	NOUN
brj-22715	2	7	,	,	PUNCT
brj-22715	2	8	”	"	PUNCT
brj-22715	2	9	bioresources	bioresource	NOUN
brj-22715	2	10	18(4	18(4	NUM
brj-22715	2	11	)	)	PUNCT
brj-22715	2	12	,	,	PUNCT
brj-22715	2	13	7412	7412	NUM
brj-22715	2	14	-	-	SYM
brj-22715	2	15	7427	7427	NUM
brj-22715	2	16	.	.	PUNCT
brj-22715	2	17	7412	7412	NUM
brj-22715	2	18	predicting	predict	VERB
brj-22715	2	19	prices	price	NOUN
brj-22715	2	20	of	of	ADP
brj-22715	2	21	case	case	NOUN
brj-22715	2	22	furniture	furniture	NOUN
brj-22715	2	23	products	product	NOUN
brj-22715	2	24	using	use	VERB
brj-22715	2	25	web	web	NOUN
brj-22715	2	26	mining	mining	NOUN
brj-22715	2	27	techniques	technique	NOUN
brj-22715	2	28	timucin	timucin	PROPN
brj-22715	2	29	bardak	bardak	PROPN
brj-22715	2	30	*	*	PUNCT
brj-22715	3	1	this	this	DET
brj-22715	3	2	article	article	NOUN
brj-22715	3	3	presents	present	VERB
brj-22715	3	4	a	a	DET
brj-22715	3	5	methodology	methodology	NOUN
brj-22715	3	6	based	base	VERB
brj-22715	3	7	on	on	ADP
brj-22715	3	8	web	web	NOUN
brj-22715	3	9	mining	mining	NOUN
brj-22715	3	10	techniques	technique	NOUN
brj-22715	3	11	for	for	ADP
brj-22715	3	12	estimating	estimate	VERB
brj-22715	3	13	furniture	furniture	NOUN
brj-22715	3	14	prices	price	NOUN
brj-22715	3	15	using	use	VERB
brj-22715	3	16	e	e	PROPN
brj-22715	3	17	-	-	NOUN
brj-22715	3	18	commerce	commerce	NOUN
brj-22715	3	19	data	datum	NOUN
brj-22715	3	20	.	.	PUNCT
brj-22715	4	1	data	datum	NOUN
brj-22715	4	2	on	on	ADP
brj-22715	4	3	different	different	ADJ
brj-22715	4	4	public	public	ADJ
brj-22715	4	5	e	e	NOUN
brj-22715	4	6	-	-	NOUN
brj-22715	4	7	commerce	commerce	NOUN
brj-22715	4	8	sites	site	NOUN
brj-22715	4	9	in	in	ADP
brj-22715	4	10	the	the	DET
brj-22715	4	11	united	united	PROPN
brj-22715	4	12	states	states	PROPN
brj-22715	4	13	were	be	AUX
brj-22715	4	14	collected	collect	VERB
brj-22715	4	15	and	and	CCONJ
brj-22715	4	16	analyzed	analyze	VERB
brj-22715	4	17	using	use	VERB
brj-22715	4	18	web	web	NOUN
brj-22715	4	19	mining	mining	NOUN
brj-22715	4	20	methods	method	NOUN
brj-22715	4	21	.	.	PUNCT
brj-22715	5	1	deep	deep	ADJ
brj-22715	5	2	learning	learning	NOUN
brj-22715	5	3	and	and	CCONJ
brj-22715	5	4	random	random	ADJ
brj-22715	5	5	forest	forest	NOUN
brj-22715	5	6	algorithms	algorithm	NOUN
brj-22715	5	7	were	be	AUX
brj-22715	5	8	used	use	VERB
brj-22715	5	9	to	to	PART
brj-22715	5	10	predict	predict	VERB
brj-22715	5	11	the	the	DET
brj-22715	5	12	prices	price	NOUN
brj-22715	5	13	of	of	ADP
brj-22715	5	14	different	different	ADJ
brj-22715	5	15	types	type	NOUN
brj-22715	5	16	of	of	ADP
brj-22715	5	17	furniture	furniture	NOUN
brj-22715	5	18	.	.	PUNCT
brj-22715	6	1	bookcase	bookcase	NOUN
brj-22715	6	2	and	and	CCONJ
brj-22715	6	3	dresser	dresser	NOUN
brj-22715	6	4	type	type	NOUN
brj-22715	6	5	furniture	furniture	NOUN
brj-22715	6	6	,	,	PUNCT
brj-22715	6	7	which	which	PRON
brj-22715	6	8	are	be	AUX
brj-22715	6	9	widely	widely	ADV
brj-22715	6	10	used	use	VERB
brj-22715	6	11	in	in	ADP
brj-22715	6	12	price	price	NOUN
brj-22715	6	13	estimation	estimation	NOUN
brj-22715	6	14	,	,	PUNCT
brj-22715	6	15	were	be	AUX
brj-22715	6	16	selected	select	VERB
brj-22715	6	17	.	.	PUNCT
brj-22715	7	1	the	the	DET
brj-22715	7	2	inquiry	inquiry	NOUN
brj-22715	7	3	identified	identify	VERB
brj-22715	7	4	a	a	DET
brj-22715	7	5	collection	collection	NOUN
brj-22715	7	6	of	of	ADP
brj-22715	7	7	eight	eight	NUM
brj-22715	7	8	distinctive	distinctive	ADJ
brj-22715	7	9	attributes	attribute	NOUN
brj-22715	7	10	linked	link	VERB
brj-22715	7	11	to	to	ADP
brj-22715	7	12	furniture	furniture	NOUN
brj-22715	7	13	items	item	NOUN
brj-22715	7	14	,	,	PUNCT
brj-22715	7	15	spanning	span	VERB
brj-22715	7	16	measurements	measurement	NOUN
brj-22715	7	17	such	such	ADJ
brj-22715	7	18	as	as	ADP
brj-22715	7	19	width	width	ADJ
brj-22715	7	20	,	,	PUNCT
brj-22715	7	21	depth	depth	NOUN
brj-22715	7	22	,	,	PUNCT
brj-22715	7	23	and	and	CCONJ
brj-22715	7	24	height	height	NOUN
brj-22715	7	25	,	,	PUNCT
brj-22715	7	26	alongside	alongside	SCONJ
brj-22715	7	27	features	feature	VERB
brj-22715	7	28	encompassing	encompass	VERB
brj-22715	7	29	frame	frame	NOUN
brj-22715	7	30	material	material	NOUN
brj-22715	7	31	,	,	PUNCT
brj-22715	7	32	partition	partition	NOUN
brj-22715	7	33	count	count	NOUN
brj-22715	7	34	,	,	PUNCT
brj-22715	7	35	drawer	drawer	NOUN
brj-22715	7	36	count	count	NOUN
brj-22715	7	37	,	,	PUNCT
brj-22715	7	38	color	color	NOUN
brj-22715	7	39	,	,	PUNCT
brj-22715	7	40	and	and	CCONJ
brj-22715	7	41	price	price	NOUN
brj-22715	7	42	.	.	PUNCT
brj-22715	8	1	in	in	ADP
brj-22715	8	2	preparation	preparation	NOUN
brj-22715	8	3	for	for	ADP
brj-22715	8	4	constructing	construct	VERB
brj-22715	8	5	predictive	predictive	ADJ
brj-22715	8	6	models	model	NOUN
brj-22715	8	7	,	,	PUNCT
brj-22715	8	8	a	a	DET
brj-22715	8	9	dataset	dataset	NOUN
brj-22715	8	10	comprising	comprise	VERB
brj-22715	8	11	300	300	NUM
brj-22715	8	12	instances	instance	NOUN
brj-22715	8	13	was	be	AUX
brj-22715	8	14	compiled	compile	VERB
brj-22715	8	15	for	for	ADP
brj-22715	8	16	comprehensive	comprehensive	ADJ
brj-22715	8	17	analysis	analysis	NOUN
brj-22715	8	18	.	.	PUNCT
brj-22715	9	1	models	model	NOUN
brj-22715	9	2	developed	develop	VERB
brj-22715	9	3	based	base	VERB
brj-22715	9	4	on	on	ADP
brj-22715	9	5	web	web	NOUN
brj-22715	9	6	mining	mining	NOUN
brj-22715	9	7	to	to	PART
brj-22715	9	8	predict	predict	VERB
brj-22715	9	9	furniture	furniture	NOUN
brj-22715	9	10	prices	price	NOUN
brj-22715	9	11	gave	give	VERB
brj-22715	9	12	satisfactory	satisfactory	ADJ
brj-22715	9	13	results	result	NOUN
brj-22715	9	14	.	.	PUNCT
brj-22715	10	1	during	during	ADP
brj-22715	10	2	the	the	DET
brj-22715	10	3	testing	testing	NOUN
brj-22715	10	4	phase	phase	NOUN
brj-22715	10	5	,	,	PUNCT
brj-22715	10	6	the	the	DET
brj-22715	10	7	random	random	ADJ
brj-22715	10	8	forest	forest	NOUN
brj-22715	10	9	algorithm	algorithm	NOUN
brj-22715	10	10	outperformed	outperform	VERB
brj-22715	10	11	deep	deep	ADJ
brj-22715	10	12	learning	learning	NOUN
brj-22715	10	13	,	,	PUNCT
brj-22715	10	14	achieving	achieve	VERB
brj-22715	10	15	high	high	ADJ
brj-22715	10	16	goodness	goodness	NOUN
brj-22715	10	17	of	of	ADP
brj-22715	10	18	fit	fit	ADJ
brj-22715	10	19	values	value	NOUN
brj-22715	10	20	of	of	ADP
brj-22715	10	21	0.89	0.89	NUM
brj-22715	10	22	and	and	CCONJ
brj-22715	10	23	0.94	0.94	NUM
brj-22715	10	24	for	for	ADP
brj-22715	10	25	bookcase	bookcase	NOUN
brj-22715	10	26	and	and	CCONJ
brj-22715	10	27	dresser	dresser	NOUN
brj-22715	10	28	furniture	furniture	NOUN
brj-22715	10	29	,	,	PUNCT
brj-22715	10	30	respectively	respectively	ADV
brj-22715	10	31	.	.	PUNCT
brj-22715	11	1	the	the	DET
brj-22715	11	2	results	result	NOUN
brj-22715	11	3	indicate	indicate	VERB
brj-22715	11	4	that	that	SCONJ
brj-22715	11	5	price	price	NOUN
brj-22715	11	6	estimation	estimation	NOUN
brj-22715	11	7	for	for	ADP
brj-22715	11	8	dresser	dresser	NOUN
brj-22715	11	9	furniture	furniture	NOUN
brj-22715	11	10	was	be	AUX
brj-22715	11	11	more	more	ADV
brj-22715	11	12	accurate	accurate	ADJ
brj-22715	11	13	than	than	ADP
brj-22715	11	14	for	for	ADP
brj-22715	11	15	bookcases	bookcase	NOUN
brj-22715	11	16	in	in	ADP
brj-22715	11	17	all	all	DET
brj-22715	11	18	models	model	NOUN
brj-22715	11	19	.	.	PUNCT
brj-22715	12	1	the	the	DET
brj-22715	12	2	findings	finding	NOUN
brj-22715	12	3	demonstrate	demonstrate	VERB
brj-22715	12	4	that	that	SCONJ
brj-22715	12	5	web	web	NOUN
brj-22715	12	6	mining	mining	NOUN
brj-22715	12	7	techniques	technique	NOUN
brj-22715	12	8	can	can	AUX
brj-22715	12	9	be	be	AUX
brj-22715	12	10	used	use	VERB
brj-22715	12	11	effectively	effectively	ADV
brj-22715	12	12	in	in	ADP
brj-22715	12	13	competitive	competitive	ADJ
brj-22715	12	14	furniture	furniture	NOUN
brj-22715	12	15	pricing	pricing	NOUN
brj-22715	12	16	,	,	PUNCT
brj-22715	12	17	with	with	ADP
brj-22715	12	18	potential	potential	NOUN
brj-22715	12	19	to	to	PART
brj-22715	12	20	save	save	VERB
brj-22715	12	21	time	time	NOUN
brj-22715	12	22	and	and	CCONJ
brj-22715	12	23	cost	cost	NOUN
brj-22715	12	24	in	in	ADP
brj-22715	12	25	pricing	pricing	NOUN
brj-22715	12	26	for	for	ADP
brj-22715	12	27	furniture	furniture	NOUN
brj-22715	12	28	purchasing	purchasing	NOUN
brj-22715	12	29	.	.	PUNCT
brj-22715	13	1	doi	doi	NOUN
brj-22715	13	2	:	:	PUNCT
brj-22715	13	3	10.15376	10.15376	NUM
brj-22715	13	4	/	/	SYM
brj-22715	13	5	biores.18.4.7412	biores.18.4.7412	DET
brj-22715	13	6	-	-	PUNCT
brj-22715	13	7	7427	7427	NUM
brj-22715	13	8	keywords	keyword	NOUN
brj-22715	13	9	:	:	PUNCT
brj-22715	13	10	furniture	furniture	NOUN
brj-22715	13	11	industry	industry	NOUN
brj-22715	13	12	;	;	PUNCT
brj-22715	13	13	price	price	NOUN
brj-22715	13	14	;	;	PUNCT
brj-22715	13	15	data	datum	NOUN
brj-22715	13	16	mining	mining	NOUN
brj-22715	13	17	;	;	PUNCT
brj-22715	13	18	prediction	prediction	NOUN
brj-22715	13	19	modeling	modeling	NOUN
brj-22715	13	20	contact	contact	NOUN
brj-22715	13	21	information	information	NOUN
brj-22715	13	22	:	:	PUNCT
brj-22715	13	23	bartin	bartin	PROPN
brj-22715	13	24	university	university	NOUN
brj-22715	13	25	,	,	PUNCT
brj-22715	13	26	bartin	bartin	PROPN
brj-22715	13	27	vocational	vocational	ADJ
brj-22715	13	28	school	school	NOUN
brj-22715	13	29	,	,	PUNCT
brj-22715	13	30	furniture	furniture	NOUN
brj-22715	13	31	and	and	CCONJ
brj-22715	13	32	decoration	decoration	NOUN
brj-22715	13	33	program	program	NOUN
brj-22715	13	34	,	,	PUNCT
brj-22715	13	35	74200	74200	NUM
brj-22715	13	36	,	,	PUNCT
brj-22715	13	37	bartin	bartin	PROPN
brj-22715	13	38	,	,	PUNCT
brj-22715	13	39	turkey	turkey	NOUN
brj-22715	13	40	;	;	PUNCT
brj-22715	13	41	*	*	PUNCT
brj-22715	13	42	corresponding	correspond	VERB
brj-22715	13	43	author	author	NOUN
brj-22715	13	44	:	:	PUNCT
brj-22715	13	45	timucinb@bartin.edu.tr	timucinb@bartin.edu.tr	NOUN
brj-22715	13	46	introduction	introduction	NOUN
brj-22715	13	47	the	the	DET
brj-22715	13	48	furniture	furniture	NOUN
brj-22715	13	49	industry	industry	NOUN
brj-22715	13	50	is	be	AUX
brj-22715	13	51	a	a	DET
brj-22715	13	52	critical	critical	ADJ
brj-22715	13	53	sector	sector	NOUN
brj-22715	13	54	in	in	ADP
brj-22715	13	55	terms	term	NOUN
brj-22715	13	56	of	of	ADP
brj-22715	13	57	creating	create	VERB
brj-22715	13	58	both	both	DET
brj-22715	13	59	added	add	VERB
brj-22715	13	60	value	value	NOUN
brj-22715	13	61	and	and	CCONJ
brj-22715	13	62	employment	employment	NOUN
brj-22715	13	63	in	in	ADP
brj-22715	13	64	the	the	DET
brj-22715	13	65	economic	economic	ADJ
brj-22715	13	66	development	development	NOUN
brj-22715	13	67	of	of	ADP
brj-22715	13	68	many	many	ADJ
brj-22715	13	69	countries	country	NOUN
brj-22715	13	70	.	.	PUNCT
brj-22715	14	1	when	when	SCONJ
brj-22715	14	2	determining	determine	VERB
brj-22715	14	3	prices	price	NOUN
brj-22715	14	4	,	,	PUNCT
brj-22715	14	5	furniture	furniture	NOUN
brj-22715	14	6	manufacturers	manufacturer	NOUN
brj-22715	14	7	consider	consider	VERB
brj-22715	14	8	many	many	ADJ
brj-22715	14	9	factors	factor	NOUN
brj-22715	14	10	,	,	PUNCT
brj-22715	14	11	such	such	ADJ
brj-22715	14	12	as	as	ADP
brj-22715	14	13	profitability	profitability	NOUN
brj-22715	14	14	,	,	PUNCT
brj-22715	14	15	competition	competition	NOUN
brj-22715	14	16	,	,	PUNCT
brj-22715	14	17	and	and	CCONJ
brj-22715	14	18	market	market	NOUN
brj-22715	14	19	.	.	PUNCT
brj-22715	15	1	for	for	ADP
brj-22715	15	2	consumers	consumer	NOUN
brj-22715	15	3	,	,	PUNCT
brj-22715	15	4	a	a	DET
brj-22715	15	5	product	product	NOUN
brj-22715	15	6	must	must	AUX
brj-22715	15	7	be	be	AUX
brj-22715	15	8	offered	offer	VERB
brj-22715	15	9	at	at	ADP
brj-22715	15	10	a	a	DET
brj-22715	15	11	price	price	NOUN
brj-22715	15	12	that	that	PRON
brj-22715	15	13	matches	match	VERB
brj-22715	15	14	its	its	PRON
brj-22715	15	15	value	value	NOUN
brj-22715	15	16	,	,	PUNCT
brj-22715	15	17	which	which	PRON
brj-22715	15	18	is	be	AUX
brj-22715	15	19	an	an	DET
brj-22715	15	20	important	important	ADJ
brj-22715	15	21	determining	determine	VERB
brj-22715	15	22	factor	factor	NOUN
brj-22715	15	23	when	when	SCONJ
brj-22715	15	24	deciding	decide	VERB
brj-22715	15	25	to	to	PART
brj-22715	15	26	buy	buy	VERB
brj-22715	15	27	a	a	DET
brj-22715	15	28	product	product	NOUN
brj-22715	15	29	(	(	PUNCT
brj-22715	15	30	raposo	raposo	VERB
brj-22715	15	31	et	et	PROPN
brj-22715	15	32	al	al	PROPN
brj-22715	15	33	.	.	PROPN
brj-22715	15	34	2018	2018	NUM
brj-22715	15	35	)	)	PUNCT
brj-22715	15	36	.	.	PUNCT
brj-22715	16	1	in	in	ADP
brj-22715	16	2	a	a	DET
brj-22715	16	3	study	study	NOUN
brj-22715	16	4	by	by	ADP
brj-22715	16	5	lihra	lihra	NOUN
brj-22715	16	6	et	et	PROPN
brj-22715	16	7	al	al	PROPN
brj-22715	16	8	.	.	PROPN
brj-22715	17	1	(	(	PUNCT
brj-22715	17	2	2012	2012	NUM
brj-22715	17	3	)	)	PUNCT
brj-22715	17	4	,	,	PUNCT
brj-22715	17	5	factors	factor	NOUN
brj-22715	17	6	influencing	influence	VERB
brj-22715	17	7	consumers	consumer	NOUN
brj-22715	17	8	’	'	PUNCT
brj-22715	17	9	preferences	preference	NOUN
brj-22715	17	10	in	in	ADP
brj-22715	17	11	furniture	furniture	NOUN
brj-22715	17	12	shopping	shopping	NOUN
brj-22715	17	13	were	be	AUX
brj-22715	17	14	examined	examine	VERB
brj-22715	17	15	.	.	PUNCT
brj-22715	18	1	according	accord	VERB
brj-22715	18	2	to	to	ADP
brj-22715	18	3	the	the	DET
brj-22715	18	4	results	result	NOUN
brj-22715	18	5	,	,	PUNCT
brj-22715	18	6	approximately	approximately	ADV
brj-22715	18	7	50	50	NUM
brj-22715	18	8	%	%	NOUN
brj-22715	18	9	of	of	ADP
brj-22715	18	10	consumers	consumer	NOUN
brj-22715	18	11	consider	consider	VERB
brj-22715	18	12	price	price	NOUN
brj-22715	18	13	to	to	PART
brj-22715	18	14	be	be	AUX
brj-22715	18	15	the	the	DET
brj-22715	18	16	most	most	ADV
brj-22715	18	17	significant	significant	ADJ
brj-22715	18	18	factor	factor	NOUN
brj-22715	18	19	in	in	ADP
brj-22715	18	20	product	product	NOUN
brj-22715	18	21	selection	selection	NOUN
brj-22715	18	22	,	,	PUNCT
brj-22715	18	23	20	20	NUM
brj-22715	18	24	%	%	NOUN
brj-22715	18	25	prioritize	prioritize	NOUN
brj-22715	18	26	product	product	NOUN
brj-22715	18	27	customization	customization	NOUN
brj-22715	18	28	,	,	PUNCT
brj-22715	18	29	20	20	NUM
brj-22715	18	30	%	%	NOUN
brj-22715	18	31	consider	consider	VERB
brj-22715	18	32	delivery	delivery	NOUN
brj-22715	18	33	time	time	NOUN
brj-22715	18	34	,	,	PUNCT
brj-22715	18	35	and	and	CCONJ
brj-22715	18	36	10	10	NUM
brj-22715	18	37	%	%	NOUN
brj-22715	18	38	take	take	NOUN
brj-22715	18	39	into	into	ADP
brj-22715	18	40	account	account	NOUN
brj-22715	18	41	the	the	DET
brj-22715	18	42	time	time	NOUN
brj-22715	18	43	required	require	VERB
brj-22715	18	44	for	for	ADP
brj-22715	18	45	product	product	NOUN
brj-22715	18	46	customization	customization	NOUN
brj-22715	18	47	(	(	PUNCT
brj-22715	18	48	lihra	lihra	NOUN
brj-22715	18	49	et	et	PROPN
brj-22715	18	50	al	al	PROPN
brj-22715	18	51	.	.	PROPN
brj-22715	18	52	2012	2012	NUM
brj-22715	18	53	)	)	PUNCT
brj-22715	18	54	.	.	PUNCT
brj-22715	19	1	in	in	ADP
brj-22715	19	2	the	the	DET
brj-22715	19	3	realm	realm	NOUN
brj-22715	19	4	of	of	ADP
brj-22715	19	5	online	online	ADJ
brj-22715	19	6	shopping	shopping	NOUN
brj-22715	19	7	,	,	PUNCT
brj-22715	19	8	due	due	ADP
brj-22715	19	9	to	to	ADP
brj-22715	19	10	the	the	DET
brj-22715	19	11	inability	inability	NOUN
brj-22715	19	12	of	of	ADP
brj-22715	19	13	consumers	consumer	NOUN
brj-22715	19	14	to	to	PART
brj-22715	19	15	physically	physically	ADV
brj-22715	19	16	see	see	VERB
brj-22715	19	17	and	and	CCONJ
brj-22715	19	18	touch	touch	NOUN
brj-22715	19	19	products	product	NOUN
brj-22715	19	20	,	,	PUNCT
brj-22715	19	21	it	it	PRON
brj-22715	19	22	is	be	AUX
brj-22715	19	23	widely	widely	ADV
brj-22715	19	24	believed	believe	VERB
brj-22715	19	25	that	that	SCONJ
brj-22715	19	26	elements	element	NOUN
brj-22715	19	27	such	such	ADJ
brj-22715	19	28	as	as	ADP
brj-22715	19	29	pricing	pricing	NOUN
brj-22715	19	30	and	and	CCONJ
brj-22715	19	31	product	product	NOUN
brj-22715	19	32	information	information	NOUN
brj-22715	19	33	play	play	VERB
brj-22715	19	34	a	a	DET
brj-22715	19	35	more	more	ADV
brj-22715	19	36	pronounced	pronounced	ADJ
brj-22715	19	37	role	role	NOUN
brj-22715	19	38	in	in	ADP
brj-22715	19	39	influencing	influence	VERB
brj-22715	19	40	consumer	consumer	NOUN
brj-22715	19	41	purchasing	purchasing	NOUN
brj-22715	19	42	behavior	behavior	NOUN
brj-22715	19	43	.	.	PUNCT
brj-22715	20	1	a	a	DET
brj-22715	20	2	study	study	NOUN
brj-22715	20	3	of	of	ADP
brj-22715	20	4	online	online	ADJ
brj-22715	20	5	consumer	consumer	NOUN
brj-22715	20	6	behavior	behavior	NOUN
brj-22715	20	7	shows	show	VERB
brj-22715	20	8	peer	peer	NOUN
brj-22715	20	9	-	-	PUNCT
brj-22715	20	10	reviewed	review	VERB
brj-22715	20	11	article	article	NOUN
brj-22715	20	12	bioresources.com	bioresources.com	X
brj-22715	20	13	bardak	bardak	PROPN
brj-22715	20	14	et	et	PROPN
brj-22715	20	15	al	al	PROPN
brj-22715	20	16	.	.	PROPN
brj-22715	21	1	(	(	PUNCT
brj-22715	21	2	2023	2023	NUM
brj-22715	21	3	)	)	PUNCT
brj-22715	21	4	.	.	PUNCT
brj-22715	22	1	“	"	PUNCT
brj-22715	22	2	furniture	furniture	NOUN
brj-22715	22	3	prices	price	NOUN
brj-22715	22	4	by	by	ADP
brj-22715	22	5	web	web	NOUN
brj-22715	22	6	mining	mining	NOUN
brj-22715	22	7	,	,	PUNCT
brj-22715	22	8	”	"	PUNCT
brj-22715	22	9	bioresources	bioresource	NOUN
brj-22715	22	10	18(4	18(4	NUM
brj-22715	22	11	)	)	PUNCT
brj-22715	22	12	,	,	PUNCT
brj-22715	22	13	7412	7412	NUM
brj-22715	22	14	-	-	SYM
brj-22715	22	15	7427	7427	NUM
brj-22715	22	16	.	.	PUNCT
brj-22715	22	17	7413	7413	NUM
brj-22715	22	18	that	that	SCONJ
brj-22715	22	19	pricing	pricing	NOUN
brj-22715	22	20	plays	play	VERB
brj-22715	22	21	an	an	DET
brj-22715	22	22	important	important	ADJ
brj-22715	22	23	role	role	NOUN
brj-22715	22	24	in	in	ADP
brj-22715	22	25	influencing	influence	VERB
brj-22715	22	26	purchasing	purchasing	NOUN
brj-22715	22	27	decisions	decision	NOUN
brj-22715	22	28	(	(	PUNCT
brj-22715	22	29	zhao	zhao	X
brj-22715	22	30	et	et	PROPN
brj-22715	22	31	al	al	PROPN
brj-22715	22	32	.	.	PROPN
brj-22715	22	33	2021	2021	NUM
brj-22715	22	34	)	)	PUNCT
brj-22715	22	35	.	.	PUNCT
brj-22715	23	1	correct	correct	ADJ
brj-22715	23	2	pricing	pricing	NOUN
brj-22715	23	3	for	for	ADP
brj-22715	23	4	companies	company	NOUN
brj-22715	23	5	is	be	AUX
brj-22715	23	6	a	a	DET
brj-22715	23	7	complex	complex	ADJ
brj-22715	23	8	problem	problem	NOUN
brj-22715	23	9	in	in	ADP
brj-22715	23	10	competitive	competitive	ADJ
brj-22715	23	11	market	market	NOUN
brj-22715	23	12	conditions	condition	NOUN
brj-22715	23	13	.	.	PUNCT
brj-22715	24	1	data	datum	NOUN
brj-22715	24	2	mining	mining	NOUN
brj-22715	24	3	(	(	PUNCT
brj-22715	24	4	dm	dm	NOUN
brj-22715	24	5	)	)	PUNCT
brj-22715	24	6	is	be	AUX
brj-22715	24	7	used	use	VERB
brj-22715	24	8	in	in	ADP
brj-22715	24	9	many	many	ADJ
brj-22715	24	10	industries	industry	NOUN
brj-22715	24	11	to	to	PART
brj-22715	24	12	solve	solve	VERB
brj-22715	24	13	challenging	challenging	ADJ
brj-22715	24	14	problems	problem	NOUN
brj-22715	24	15	(	(	PUNCT
brj-22715	24	16	he	he	PRON
brj-22715	24	17	et	et	PROPN
brj-22715	24	18	al	al	PROPN
brj-22715	24	19	.	.	PROPN
brj-22715	24	20	2022	2022	NUM
brj-22715	24	21	)	)	PUNCT
brj-22715	24	22	.	.	PUNCT
brj-22715	25	1	dm	dm	NOUN
brj-22715	25	2	can	can	AUX
brj-22715	25	3	be	be	AUX
brj-22715	25	4	defined	define	VERB
brj-22715	25	5	as	as	ADP
brj-22715	25	6	a	a	DET
brj-22715	25	7	method	method	NOUN
brj-22715	25	8	that	that	PRON
brj-22715	25	9	allows	allow	VERB
brj-22715	25	10	the	the	DET
brj-22715	25	11	most	most	ADV
brj-22715	25	12	valuable	valuable	ADJ
brj-22715	25	13	information	information	NOUN
brj-22715	25	14	to	to	PART
brj-22715	25	15	be	be	AUX
brj-22715	25	16	obtained	obtain	VERB
brj-22715	25	17	by	by	ADP
brj-22715	25	18	analyzing	analyze	VERB
brj-22715	25	19	data	datum	NOUN
brj-22715	25	20	sets	set	NOUN
brj-22715	25	21	.	.	PUNCT
brj-22715	26	1	this	this	DET
brj-22715	26	2	method	method	NOUN
brj-22715	26	3	includes	include	VERB
brj-22715	26	4	data	datum	NOUN
brj-22715	26	5	processing	processing	NOUN
brj-22715	26	6	,	,	PUNCT
brj-22715	26	7	model	model	NOUN
brj-22715	26	8	creation	creation	NOUN
brj-22715	26	9	,	,	PUNCT
brj-22715	26	10	feature	feature	NOUN
brj-22715	26	11	extraction	extraction	NOUN
brj-22715	26	12	,	,	PUNCT
brj-22715	26	13	and	and	CCONJ
brj-22715	26	14	discovery	discovery	NOUN
brj-22715	26	15	studies	study	NOUN
brj-22715	26	16	(	(	PUNCT
brj-22715	26	17	pérez	pérez	NOUN
brj-22715	26	18	-	-	PUNCT
brj-22715	26	19	campuzano	campuzano	NOUN
brj-22715	26	20	et	et	PROPN
brj-22715	26	21	al	al	PROPN
brj-22715	26	22	.	.	PROPN
brj-22715	26	23	2022	2022	NUM
brj-22715	26	24	)	)	PUNCT
brj-22715	26	25	.	.	PUNCT
brj-22715	27	1	using	use	VERB
brj-22715	27	2	important	important	ADJ
brj-22715	27	3	data	datum	NOUN
brj-22715	27	4	sources	source	NOUN
brj-22715	27	5	and	and	CCONJ
brj-22715	27	6	data	datum	NOUN
brj-22715	27	7	mining	mining	NOUN
brj-22715	27	8	algorithms	algorithm	NOUN
brj-22715	27	9	helps	help	VERB
brj-22715	27	10	reduce	reduce	VERB
brj-22715	27	11	costs	cost	NOUN
brj-22715	27	12	effectively	effectively	ADV
brj-22715	27	13	by	by	ADP
brj-22715	27	14	making	make	VERB
brj-22715	27	15	it	it	PRON
brj-22715	27	16	easier	easy	ADJ
brj-22715	27	17	to	to	PART
brj-22715	27	18	determine	determine	VERB
brj-22715	27	19	the	the	DET
brj-22715	27	20	optimal	optimal	ADJ
brj-22715	27	21	price	price	NOUN
brj-22715	27	22	.	.	PUNCT
brj-22715	28	1	numerous	numerous	ADJ
brj-22715	28	2	investigations	investigation	NOUN
brj-22715	28	3	have	have	AUX
brj-22715	28	4	demonstrated	demonstrate	VERB
brj-22715	28	5	that	that	SCONJ
brj-22715	28	6	datadriven	datadriven	ADJ
brj-22715	28	7	models	model	NOUN
brj-22715	28	8	exhibit	exhibit	VERB
brj-22715	28	9	superior	superior	ADJ
brj-22715	28	10	efficacy	efficacy	NOUN
brj-22715	28	11	in	in	ADP
brj-22715	28	12	predicting	predict	VERB
brj-22715	28	13	the	the	DET
brj-22715	28	14	prices	price	NOUN
brj-22715	28	15	of	of	ADP
brj-22715	28	16	various	various	ADJ
brj-22715	28	17	products	product	NOUN
brj-22715	28	18	compared	compare	VERB
brj-22715	28	19	to	to	ADP
brj-22715	28	20	conventional	conventional	ADJ
brj-22715	28	21	techniques	technique	NOUN
brj-22715	28	22	(	(	PUNCT
brj-22715	28	23	chen	chen	PROPN
brj-22715	28	24	et	et	PROPN
brj-22715	28	25	al	al	PROPN
brj-22715	28	26	.	.	PROPN
brj-22715	28	27	2016	2016	NUM
brj-22715	28	28	;	;	PUNCT
brj-22715	28	29	li	li	PROPN
brj-22715	28	30	et	et	PROPN
brj-22715	28	31	al	al	PROPN
brj-22715	28	32	.	.	PROPN
brj-22715	28	33	2019	2019	NUM
brj-22715	28	34	;	;	PUNCT
brj-22715	28	35	duan	duan	PROPN
brj-22715	28	36	and	and	CCONJ
brj-22715	28	37	liu	liu	PROPN
brj-22715	28	38	2021	2021	NUM
brj-22715	28	39	)	)	PUNCT
brj-22715	28	40	.	.	PUNCT
brj-22715	29	1	studies	study	NOUN
brj-22715	29	2	have	have	AUX
brj-22715	29	3	shown	show	VERB
brj-22715	29	4	that	that	SCONJ
brj-22715	29	5	artificial	artificial	ADJ
brj-22715	29	6	neural	neural	ADJ
brj-22715	29	7	network	network	NOUN
brj-22715	29	8	(	(	PUNCT
brj-22715	29	9	ann	ann	PROPN
brj-22715	29	10	)	)	PUNCT
brj-22715	29	11	cost	cost	NOUN
brj-22715	29	12	models	model	NOUN
brj-22715	29	13	were	be	AUX
brj-22715	29	14	developed	develop	VERB
brj-22715	29	15	using	use	VERB
brj-22715	29	16	data	datum	NOUN
brj-22715	29	17	from	from	ADP
brj-22715	29	18	300	300	NUM
brj-22715	29	19	building	building	NOUN
brj-22715	29	20	projects	project	NOUN
brj-22715	29	21	to	to	PART
brj-22715	29	22	evaluate	evaluate	VERB
brj-22715	29	23	the	the	DET
brj-22715	29	24	total	total	ADJ
brj-22715	29	25	construction	construction	NOUN
brj-22715	29	26	cost	cost	NOUN
brj-22715	29	27	for	for	ADP
brj-22715	29	28	customers	customer	NOUN
brj-22715	29	29	.	.	PUNCT
brj-22715	30	1	as	as	ADP
brj-22715	30	2	a	a	DET
brj-22715	30	3	result	result	NOUN
brj-22715	30	4	of	of	ADP
brj-22715	30	5	the	the	DET
brj-22715	30	6	analysis	analysis	NOUN
brj-22715	30	7	,	,	PUNCT
brj-22715	30	8	it	it	PRON
brj-22715	30	9	was	be	AUX
brj-22715	30	10	determined	determine	VERB
brj-22715	30	11	that	that	SCONJ
brj-22715	30	12	the	the	DET
brj-22715	30	13	ann	ann	PROPN
brj-22715	30	14	models	model	NOUN
brj-22715	30	15	had	have	VERB
brj-22715	30	16	a	a	DET
brj-22715	30	17	high	high	ADJ
brj-22715	30	18	prediction	prediction	NOUN
brj-22715	30	19	performance	performance	NOUN
brj-22715	30	20	(	(	PUNCT
brj-22715	30	21	emsley	emsley	PROPN
brj-22715	30	22	et	et	PROPN
brj-22715	30	23	al	al	PROPN
brj-22715	30	24	.	.	PROPN
brj-22715	30	25	2002	2002	NUM
brj-22715	30	26	;	;	PUNCT
brj-22715	30	27	hassim	hassim	PROPN
brj-22715	30	28	et	et	PROPN
brj-22715	30	29	al	al	PROPN
brj-22715	30	30	.	.	PROPN
brj-22715	30	31	2018	2018	NUM
brj-22715	30	32	)	)	PUNCT
brj-22715	30	33	.	.	PUNCT
brj-22715	31	1	in	in	ADP
brj-22715	31	2	a	a	DET
brj-22715	31	3	separate	separate	ADJ
brj-22715	31	4	investigation	investigation	NOUN
brj-22715	31	5	,	,	PUNCT
brj-22715	31	6	putri	putri	PROPN
brj-22715	31	7	et	et	PROPN
brj-22715	31	8	al	al	PROPN
brj-22715	31	9	.	.	PROPN
brj-22715	32	1	(	(	PUNCT
brj-22715	32	2	2019	2019	NUM
brj-22715	32	3	)	)	PUNCT
brj-22715	32	4	devised	devise	VERB
brj-22715	32	5	predictive	predictive	ADJ
brj-22715	32	6	models	model	NOUN
brj-22715	32	7	utilizing	utilize	VERB
brj-22715	32	8	monthly	monthly	ADJ
brj-22715	32	9	retail	retail	ADJ
brj-22715	32	10	pricing	pricing	NOUN
brj-22715	32	11	data	datum	NOUN
brj-22715	32	12	to	to	PART
brj-22715	32	13	forecast	forecast	VERB
brj-22715	32	14	domestic	domestic	ADJ
brj-22715	32	15	and	and	CCONJ
brj-22715	32	16	global	global	ADJ
brj-22715	32	17	beef	beef	NOUN
brj-22715	32	18	prices	price	NOUN
brj-22715	32	19	in	in	ADP
brj-22715	32	20	the	the	DET
brj-22715	32	21	indonesian	indonesian	ADJ
brj-22715	32	22	market	market	NOUN
brj-22715	32	23	.	.	PUNCT
brj-22715	33	1	these	these	DET
brj-22715	33	2	models	model	NOUN
brj-22715	33	3	were	be	AUX
brj-22715	33	4	efficacious	efficacious	ADJ
brj-22715	33	5	in	in	ADP
brj-22715	33	6	their	their	PRON
brj-22715	33	7	predictive	predictive	ADJ
brj-22715	33	8	capacity	capacity	NOUN
brj-22715	33	9	(	(	PUNCT
brj-22715	33	10	putri	putri	NOUN
brj-22715	33	11	et	et	PROPN
brj-22715	33	12	al	al	PROPN
brj-22715	33	13	.	.	PROPN
brj-22715	33	14	2019	2019	NUM
brj-22715	33	15	)	)	PUNCT
brj-22715	33	16	.	.	PUNCT
brj-22715	34	1	web	web	NOUN
brj-22715	34	2	mining	mining	NOUN
brj-22715	34	3	(	(	PUNCT
brj-22715	34	4	wm	wm	PROPN
brj-22715	34	5	)	)	PUNCT
brj-22715	34	6	is	be	AUX
brj-22715	34	7	a	a	DET
brj-22715	34	8	field	field	NOUN
brj-22715	34	9	of	of	ADP
brj-22715	34	10	research	research	NOUN
brj-22715	34	11	that	that	PRON
brj-22715	34	12	seeks	seek	VERB
brj-22715	34	13	to	to	PART
brj-22715	34	14	discover	discover	VERB
brj-22715	34	15	valuable	valuable	ADJ
brj-22715	34	16	information	information	NOUN
brj-22715	34	17	,	,	PUNCT
brj-22715	34	18	especially	especially	ADV
brj-22715	34	19	by	by	ADP
brj-22715	34	20	referring	refer	VERB
brj-22715	34	21	to	to	ADP
brj-22715	34	22	texts	text	NOUN
brj-22715	34	23	from	from	ADP
brj-22715	34	24	web	web	NOUN
brj-22715	34	25	content	content	NOUN
brj-22715	34	26	analysis	analysis	NOUN
brj-22715	34	27	(	(	PUNCT
brj-22715	34	28	brauner	brauner	NOUN
brj-22715	34	29	et	et	PROPN
brj-22715	34	30	al	al	PROPN
brj-22715	34	31	.	.	PROPN
brj-22715	34	32	2022	2022	NUM
brj-22715	34	33	)	)	PUNCT
brj-22715	34	34	.	.	PUNCT
brj-22715	35	1	the	the	DET
brj-22715	35	2	wm	wm	PROPN
brj-22715	35	3	technique	technique	NOUN
brj-22715	35	4	has	have	AUX
brj-22715	35	5	become	become	VERB
brj-22715	35	6	extremely	extremely	ADV
brj-22715	35	7	popular	popular	ADJ
brj-22715	35	8	,	,	PUNCT
brj-22715	35	9	as	as	SCONJ
brj-22715	35	10	it	it	PRON
brj-22715	35	11	offers	offer	VERB
brj-22715	35	12	the	the	DET
brj-22715	35	13	opportunity	opportunity	NOUN
brj-22715	35	14	to	to	PART
brj-22715	35	15	discover	discover	VERB
brj-22715	35	16	new	new	ADJ
brj-22715	35	17	information	information	NOUN
brj-22715	35	18	in	in	ADP
brj-22715	35	19	many	many	ADJ
brj-22715	35	20	fields	field	NOUN
brj-22715	35	21	.	.	PUNCT
brj-22715	36	1	however	however	ADV
brj-22715	36	2	,	,	PUNCT
brj-22715	36	3	wm	wm	PROPN
brj-22715	36	4	poses	pose	VERB
brj-22715	36	5	a	a	DET
brj-22715	36	6	considerable	considerable	ADJ
brj-22715	36	7	challenge	challenge	NOUN
brj-22715	36	8	due	due	ADP
brj-22715	36	9	to	to	ADP
brj-22715	36	10	the	the	DET
brj-22715	36	11	limited	limited	ADJ
brj-22715	36	12	interpretability	interpretability	NOUN
brj-22715	36	13	of	of	ADP
brj-22715	36	14	its	its	PRON
brj-22715	36	15	results	result	NOUN
brj-22715	36	16	,	,	PUNCT
brj-22715	36	17	hindering	hinder	VERB
brj-22715	36	18	the	the	DET
brj-22715	36	19	ability	ability	NOUN
brj-22715	36	20	to	to	PART
brj-22715	36	21	draw	draw	VERB
brj-22715	36	22	meaningful	meaningful	ADJ
brj-22715	36	23	inferences	inference	NOUN
brj-22715	36	24	.	.	PUNCT
brj-22715	37	1	various	various	ADJ
brj-22715	37	2	machine	machine	NOUN
brj-22715	37	3	learning	learning	NOUN
brj-22715	37	4	(	(	PUNCT
brj-22715	37	5	ml	ml	NOUN
brj-22715	37	6	)	)	PUNCT
brj-22715	37	7	techniques	technique	NOUN
brj-22715	37	8	can	can	AUX
brj-22715	37	9	be	be	AUX
brj-22715	37	10	employed	employ	VERB
brj-22715	37	11	in	in	ADP
brj-22715	37	12	web	web	NOUN
brj-22715	37	13	mining	mining	NOUN
brj-22715	37	14	to	to	PART
brj-22715	37	15	extract	extract	VERB
brj-22715	37	16	valuable	valuable	ADJ
brj-22715	37	17	insights	insight	NOUN
brj-22715	37	18	from	from	ADP
brj-22715	37	19	web	web	NOUN
brj-22715	37	20	documents	document	NOUN
brj-22715	37	21	.	.	PUNCT
brj-22715	38	1	because	because	SCONJ
brj-22715	38	2	of	of	ADP
brj-22715	38	3	these	these	DET
brj-22715	38	4	techniques	technique	NOUN
brj-22715	38	5	,	,	PUNCT
brj-22715	38	6	the	the	DET
brj-22715	38	7	interpretability	interpretability	NOUN
brj-22715	38	8	of	of	ADP
brj-22715	38	9	web	web	NOUN
brj-22715	38	10	mining	mining	NOUN
brj-22715	38	11	results	result	NOUN
brj-22715	38	12	can	can	AUX
brj-22715	38	13	be	be	AUX
brj-22715	38	14	increased	increase	VERB
brj-22715	38	15	(	(	PUNCT
brj-22715	38	16	lee	lee	PROPN
brj-22715	38	17	and	and	CCONJ
brj-22715	38	18	lee	lee	PROPN
brj-22715	38	19	2011	2011	NUM
brj-22715	38	20	)	)	PUNCT
brj-22715	38	21	.	.	PUNCT
brj-22715	39	1	random	random	ADJ
brj-22715	39	2	forest	forest	NOUN
brj-22715	39	3	(	(	PUNCT
brj-22715	39	4	rf	rf	NOUN
brj-22715	39	5	)	)	PUNCT
brj-22715	39	6	and	and	CCONJ
brj-22715	39	7	deep	deep	ADJ
brj-22715	39	8	learning	learning	NOUN
brj-22715	39	9	(	(	PUNCT
brj-22715	39	10	dl	dl	NOUN
brj-22715	39	11	)	)	PUNCT
brj-22715	39	12	algorithms	algorithm	NOUN
brj-22715	39	13	are	be	AUX
brj-22715	39	14	widely	widely	ADV
brj-22715	39	15	used	use	VERB
brj-22715	39	16	among	among	ADP
brj-22715	39	17	ml	ml	ADP
brj-22715	39	18	methods	method	NOUN
brj-22715	39	19	and	and	CCONJ
brj-22715	39	20	provide	provide	VERB
brj-22715	39	21	effective	effective	ADJ
brj-22715	39	22	results	result	NOUN
brj-22715	39	23	for	for	ADP
brj-22715	39	24	different	different	ADJ
brj-22715	39	25	data	datum	NOUN
brj-22715	39	26	sets	set	NOUN
brj-22715	39	27	.	.	PUNCT
brj-22715	40	1	the	the	DET
brj-22715	40	2	dl	dl	PROPN
brj-22715	40	3	generates	generate	VERB
brj-22715	40	4	high	high	ADJ
brj-22715	40	5	-	-	PUNCT
brj-22715	40	6	precision	precision	NOUN
brj-22715	40	7	results	result	NOUN
brj-22715	40	8	and	and	CCONJ
brj-22715	40	9	appropriate	appropriate	ADJ
brj-22715	40	10	outputs	output	NOUN
brj-22715	40	11	using	use	VERB
brj-22715	40	12	training	training	NOUN
brj-22715	40	13	datasets	dataset	NOUN
brj-22715	40	14	.	.	PUNCT
brj-22715	41	1	the	the	DET
brj-22715	41	2	dl	dl	PROPN
brj-22715	41	3	model	model	NOUN
brj-22715	41	4	consists	consist	VERB
brj-22715	41	5	of	of	ADP
brj-22715	41	6	many	many	ADJ
brj-22715	41	7	layers	layer	NOUN
brj-22715	41	8	,	,	PUNCT
brj-22715	41	9	and	and	CCONJ
brj-22715	41	10	each	each	DET
brj-22715	41	11	layer	layer	NOUN
brj-22715	41	12	manages	manage	VERB
brj-22715	41	13	different	different	ADJ
brj-22715	41	14	stages	stage	NOUN
brj-22715	41	15	of	of	ADP
brj-22715	41	16	the	the	DET
brj-22715	41	17	data	data	NOUN
brj-22715	41	18	processing	processing	NOUN
brj-22715	41	19	process	process	NOUN
brj-22715	41	20	.	.	PUNCT
brj-22715	42	1	these	these	DET
brj-22715	42	2	layers	layer	NOUN
brj-22715	42	3	are	be	AUX
brj-22715	42	4	called	call	VERB
brj-22715	42	5	the	the	DET
brj-22715	42	6	input	input	NOUN
brj-22715	42	7	layer	layer	NOUN
brj-22715	42	8	,	,	PUNCT
brj-22715	42	9	the	the	DET
brj-22715	42	10	output	output	NOUN
brj-22715	42	11	layer	layer	NOUN
brj-22715	42	12	,	,	PUNCT
brj-22715	42	13	and	and	CCONJ
brj-22715	42	14	the	the	DET
brj-22715	42	15	hidden	hidden	ADJ
brj-22715	42	16	layer	layer	NOUN
brj-22715	42	17	(	(	PUNCT
brj-22715	42	18	kim	kim	PROPN
brj-22715	42	19	and	and	CCONJ
brj-22715	42	20	falcone	falcone	PROPN
brj-22715	42	21	2017	2017	NUM
brj-22715	42	22	;	;	PUNCT
brj-22715	42	23	ghorbanzadeh	ghorbanzadeh	NOUN
brj-22715	42	24	et	et	PROPN
brj-22715	42	25	al	al	PROPN
brj-22715	42	26	.	.	PROPN
brj-22715	42	27	2019	2019	NUM
brj-22715	42	28	;	;	PUNCT
brj-22715	42	29	saha	saha	PROPN
brj-22715	42	30	et	et	PROPN
brj-22715	42	31	al	al	PROPN
brj-22715	42	32	.	.	PROPN
brj-22715	42	33	2023	2023	NUM
brj-22715	42	34	)	)	PUNCT
brj-22715	42	35	.	.	PUNCT
brj-22715	43	1	the	the	DET
brj-22715	43	2	rf	rf	NOUN
brj-22715	43	3	is	be	AUX
brj-22715	43	4	a	a	DET
brj-22715	43	5	commonly	commonly	ADV
brj-22715	43	6	used	use	VERB
brj-22715	43	7	method	method	NOUN
brj-22715	43	8	for	for	ADP
brj-22715	43	9	developing	develop	VERB
brj-22715	43	10	predictive	predictive	ADJ
brj-22715	43	11	models	model	NOUN
brj-22715	43	12	.	.	PUNCT
brj-22715	44	1	this	this	DET
brj-22715	44	2	method	method	NOUN
brj-22715	44	3	works	work	VERB
brj-22715	44	4	by	by	ADP
brj-22715	44	5	constructing	construct	VERB
brj-22715	44	6	many	many	ADJ
brj-22715	44	7	conditionally	conditionally	ADV
brj-22715	44	8	independent	independent	ADJ
brj-22715	44	9	decision	decision	NOUN
brj-22715	44	10	trees	tree	NOUN
brj-22715	44	11	to	to	PART
brj-22715	44	12	solve	solve	VERB
brj-22715	44	13	the	the	DET
brj-22715	44	14	overfitting	overfitte	VERB
brj-22715	44	15	problem	problem	NOUN
brj-22715	44	16	.	.	PUNCT
brj-22715	45	1	these	these	DET
brj-22715	45	2	trees	tree	NOUN
brj-22715	45	3	are	be	AUX
brj-22715	45	4	created	create	VERB
brj-22715	45	5	using	use	VERB
brj-22715	45	6	different	different	ADJ
brj-22715	45	7	features	feature	NOUN
brj-22715	45	8	and	and	CCONJ
brj-22715	45	9	data	datum	NOUN
brj-22715	45	10	points	point	NOUN
brj-22715	45	11	and	and	CCONJ
brj-22715	45	12	are	be	AUX
brj-22715	45	13	independent	independent	ADJ
brj-22715	45	14	of	of	ADP
brj-22715	45	15	each	each	DET
brj-22715	45	16	other	other	ADJ
brj-22715	45	17	(	(	PUNCT
brj-22715	45	18	breiman	breiman	NOUN
brj-22715	45	19	2001	2001	NUM
brj-22715	45	20	;	;	PUNCT
brj-22715	45	21	orte	orte	PROPN
brj-22715	45	22	et	et	PROPN
brj-22715	45	23	al	al	PROPN
brj-22715	45	24	.	.	PROPN
brj-22715	45	25	2023	2023	NUM
brj-22715	45	26	)	)	PUNCT
brj-22715	45	27	.	.	PUNCT
brj-22715	46	1	both	both	CCONJ
brj-22715	46	2	the	the	DET
brj-22715	46	3	dl	dl	PROPN
brj-22715	46	4	and	and	CCONJ
brj-22715	46	5	rf	rf	PROPN
brj-22715	46	6	algorithms	algorithm	NOUN
brj-22715	46	7	have	have	VERB
brj-22715	46	8	their	their	PRON
brj-22715	46	9	respective	respective	ADJ
brj-22715	46	10	strengths	strength	NOUN
brj-22715	46	11	within	within	ADP
brj-22715	46	12	their	their	PRON
brj-22715	46	13	domains	domain	NOUN
brj-22715	46	14	.	.	PUNCT
brj-22715	47	1	the	the	DET
brj-22715	47	2	rf	rf	ADJ
brj-22715	47	3	algorithm	algorithm	NOUN
brj-22715	47	4	offers	offer	VERB
brj-22715	47	5	significant	significant	ADJ
brj-22715	47	6	advantages	advantage	NOUN
brj-22715	47	7	for	for	ADP
brj-22715	47	8	medium	medium	ADJ
brj-22715	47	9	to	to	ADP
brj-22715	47	10	large	large	ADJ
brj-22715	47	11	-	-	PUNCT
brj-22715	47	12	scale	scale	NOUN
brj-22715	47	13	datasets	dataset	NOUN
brj-22715	47	14	,	,	PUNCT
brj-22715	47	15	excelling	excel	VERB
brj-22715	47	16	in	in	ADP
brj-22715	47	17	capturing	capture	VERB
brj-22715	47	18	non	non	ADJ
brj-22715	47	19	-	-	ADJ
brj-22715	47	20	linear	linear	ADJ
brj-22715	47	21	relationships	relationship	NOUN
brj-22715	47	22	present	present	ADJ
brj-22715	47	23	in	in	ADP
brj-22715	47	24	the	the	DET
brj-22715	47	25	data	datum	NOUN
brj-22715	47	26	.	.	PUNCT
brj-22715	48	1	it	it	PRON
brj-22715	48	2	also	also	ADV
brj-22715	48	3	simplifies	simplify	VERB
brj-22715	48	4	tasks	task	NOUN
brj-22715	48	5	involving	involve	VERB
brj-22715	48	6	structured	structured	ADJ
brj-22715	48	7	data	datum	NOUN
brj-22715	48	8	and	and	CCONJ
brj-22715	48	9	scenarios	scenario	NOUN
brj-22715	48	10	where	where	SCONJ
brj-22715	48	11	interpretability	interpretability	NOUN
brj-22715	48	12	holds	hold	VERB
brj-22715	48	13	importance	importance	NOUN
brj-22715	48	14	.	.	PUNCT
brj-22715	49	1	on	on	ADP
brj-22715	49	2	the	the	DET
brj-22715	49	3	other	other	ADJ
brj-22715	49	4	hand	hand	NOUN
brj-22715	49	5	,	,	PUNCT
brj-22715	49	6	the	the	DET
brj-22715	49	7	dl	dl	PROPN
brj-22715	49	8	algorithms	algorithm	NOUN
brj-22715	49	9	prove	prove	VERB
brj-22715	49	10	particularly	particularly	ADV
brj-22715	49	11	effective	effective	ADJ
brj-22715	49	12	when	when	SCONJ
brj-22715	49	13	dealing	deal	VERB
brj-22715	49	14	with	with	ADP
brj-22715	49	15	extensive	extensive	ADJ
brj-22715	49	16	,	,	PUNCT
brj-22715	49	17	unstructured	unstructured	ADJ
brj-22715	49	18	data	datum	NOUN
brj-22715	49	19	such	such	ADJ
brj-22715	49	20	as	as	ADP
brj-22715	49	21	images	image	NOUN
brj-22715	49	22	,	,	PUNCT
brj-22715	49	23	audio	audio	NOUN
brj-22715	49	24	,	,	PUNCT
brj-22715	49	25	and	and	CCONJ
brj-22715	49	26	text	text	NOUN
brj-22715	49	27	.	.	PUNCT
brj-22715	50	1	they	they	PRON
brj-22715	50	2	also	also	ADV
brj-22715	50	3	stand	stand	VERB
brj-22715	50	4	out	out	ADP
brj-22715	50	5	for	for	ADP
brj-22715	50	6	their	their	PRON
brj-22715	50	7	ability	ability	NOUN
brj-22715	50	8	to	to	PART
brj-22715	50	9	process	process	VERB
brj-22715	50	10	diverse	diverse	ADJ
brj-22715	50	11	types	type	NOUN
brj-22715	50	12	of	of	ADP
brj-22715	50	13	data	datum	NOUN
brj-22715	50	14	.	.	PUNCT
brj-22715	51	1	thus	thus	ADV
brj-22715	51	2	,	,	PUNCT
brj-22715	51	3	in	in	ADP
brj-22715	51	4	the	the	DET
brj-22715	51	5	present	present	ADJ
brj-22715	51	6	study	study	NOUN
brj-22715	51	7	,	,	PUNCT
brj-22715	51	8	a	a	DET
brj-22715	51	9	preference	preference	NOUN
brj-22715	51	10	was	be	AUX
brj-22715	51	11	given	give	VERB
brj-22715	51	12	to	to	ADP
brj-22715	51	13	these	these	DET
brj-22715	51	14	two	two	NUM
brj-22715	51	15	distinct	distinct	ADJ
brj-22715	51	16	algorithm	algorithm	NOUN
brj-22715	51	17	types	type	NOUN
brj-22715	51	18	.	.	PUNCT
brj-22715	52	1	the	the	DET
brj-22715	52	2	fundamental	fundamental	ADJ
brj-22715	52	3	distinction	distinction	NOUN
brj-22715	52	4	between	between	ADP
brj-22715	52	5	the	the	DET
brj-22715	52	6	dl	dl	PROPN
brj-22715	52	7	and	and	CCONJ
brj-22715	52	8	the	the	DET
brj-22715	52	9	rf	rf	ADJ
brj-22715	52	10	algorithms	algorithms	NOUN
brj-22715	52	11	lies	lie	VERB
brj-22715	52	12	in	in	ADP
brj-22715	52	13	the	the	DET
brj-22715	52	14	former	former	NOUN
brj-22715	52	15	's	's	PART
brj-22715	52	16	design	design	NOUN
brj-22715	52	17	to	to	PART
brj-22715	52	18	handle	handle	VERB
brj-22715	52	19	large	large	ADJ
brj-22715	52	20	,	,	PUNCT
brj-22715	52	21	unstructured	unstructured	ADJ
brj-22715	52	22	datasets	dataset	NOUN
brj-22715	52	23	,	,	PUNCT
brj-22715	52	24	while	while	SCONJ
brj-22715	52	25	the	the	DET
brj-22715	52	26	latter	latter	NOUN
brj-22715	52	27	is	be	AUX
brj-22715	52	28	more	more	ADV
brj-22715	52	29	suitable	suitable	ADJ
brj-22715	52	30	for	for	ADP
brj-22715	52	31	structured	structured	ADJ
brj-22715	52	32	data	datum	NOUN
brj-22715	52	33	and	and	CCONJ
brj-22715	52	34	is	be	AUX
brj-22715	52	35	often	often	ADV
brj-22715	52	36	favored	favor	VERB
brj-22715	52	37	in	in	ADP
brj-22715	52	38	cases	case	NOUN
brj-22715	52	39	emphasizing	emphasize	VERB
brj-22715	52	40	interpretability	interpretability	NOUN
brj-22715	52	41	(	(	PUNCT
brj-22715	52	42	schonlau	schonlau	NOUN
brj-22715	52	43	and	and	CCONJ
brj-22715	52	44	zou	zou	PROPN
brj-22715	52	45	2020	2020	NUM
brj-22715	52	46	;	;	PUNCT
brj-22715	52	47	sarker	sarker	NOUN
brj-22715	52	48	2021	2021	NUM
brj-22715	52	49	)	)	PUNCT
brj-22715	52	50	.	.	PUNCT
brj-22715	53	1	e	e	X
brj-22715	53	2	-	-	NOUN
brj-22715	53	3	commerce	commerce	NOUN
brj-22715	53	4	platforms	platform	NOUN
brj-22715	53	5	(	(	PUNCT
brj-22715	53	6	ep	ep	PROPN
brj-22715	53	7	)	)	PUNCT
brj-22715	53	8	are	be	AUX
brj-22715	53	9	an	an	DET
brj-22715	53	10	ideal	ideal	ADJ
brj-22715	53	11	data	datum	NOUN
brj-22715	53	12	source	source	NOUN
brj-22715	53	13	for	for	ADP
brj-22715	53	14	web	web	NOUN
brj-22715	53	15	mining	mining	NOUN
brj-22715	53	16	.	.	PUNCT
brj-22715	54	1	an	an	DET
brj-22715	54	2	ep	ep	PROPN
brj-22715	54	3	encompasses	encompass	VERB
brj-22715	54	4	a	a	DET
brj-22715	54	5	range	range	NOUN
brj-22715	54	6	of	of	ADP
brj-22715	54	7	information	information	NOUN
brj-22715	54	8	concerning	concern	VERB
brj-22715	54	9	furniture	furniture	NOUN
brj-22715	54	10	products	product	NOUN
brj-22715	54	11	;	;	PUNCT
brj-22715	54	12	for	for	ADP
brj-22715	54	13	instance	instance	NOUN
brj-22715	54	14	,	,	PUNCT
brj-22715	54	15	details	detail	NOUN
brj-22715	54	16	encompassing	encompass	VERB
brj-22715	54	17	type	type	NOUN
brj-22715	54	18	,	,	PUNCT
brj-22715	54	19	style	style	NOUN
brj-22715	54	20	,	,	PUNCT
brj-22715	54	21	color	color	NOUN
brj-22715	54	22	variations	variation	NOUN
brj-22715	54	23	,	,	PUNCT
brj-22715	54	24	design	design	NOUN
brj-22715	54	25	attributes	attribute	NOUN
brj-22715	54	26	,	,	PUNCT
brj-22715	54	27	and	and	CCONJ
brj-22715	54	28	furniture	furniture	NOUN
brj-22715	54	29	prices	price	NOUN
brj-22715	54	30	serve	serve	VERB
brj-22715	54	31	as	as	ADP
brj-22715	54	32	peer	peer	NOUN
brj-22715	54	33	-	-	PUNCT
brj-22715	54	34	reviewed	review	VERB
brj-22715	54	35	article	article	NOUN
brj-22715	54	36	bioresources.com	bioresources.com	X
brj-22715	54	37	bardak	bardak	PROPN
brj-22715	54	38	et	et	PROPN
brj-22715	54	39	al	al	PROPN
brj-22715	54	40	.	.	PROPN
brj-22715	55	1	(	(	PUNCT
brj-22715	55	2	2023	2023	NUM
brj-22715	55	3	)	)	PUNCT
brj-22715	55	4	.	.	PUNCT
brj-22715	56	1	“	"	PUNCT
brj-22715	56	2	furniture	furniture	NOUN
brj-22715	56	3	prices	price	NOUN
brj-22715	56	4	by	by	ADP
brj-22715	56	5	web	web	NOUN
brj-22715	56	6	mining	mining	NOUN
brj-22715	56	7	,	,	PUNCT
brj-22715	56	8	”	"	PUNCT
brj-22715	56	9	bioresources	bioresource	NOUN
brj-22715	56	10	18(4	18(4	NUM
brj-22715	56	11	)	)	PUNCT
brj-22715	56	12	,	,	PUNCT
brj-22715	56	13	7412	7412	NUM
brj-22715	56	14	-	-	SYM
brj-22715	56	15	7427	7427	NUM
brj-22715	56	16	.	.	PUNCT
brj-22715	57	1	7414	7414	NUM
brj-22715	57	2	only	only	ADV
brj-22715	57	3	a	a	DET
brj-22715	57	4	few	few	ADJ
brj-22715	57	5	illustrative	illustrative	ADJ
brj-22715	57	6	examples	example	NOUN
brj-22715	57	7	.	.	PUNCT
brj-22715	58	1	these	these	DET
brj-22715	58	2	particulars	particular	NOUN
brj-22715	58	3	constitute	constitute	VERB
brj-22715	58	4	a	a	DET
brj-22715	58	5	subset	subset	NOUN
brj-22715	58	6	of	of	ADP
brj-22715	58	7	the	the	DET
brj-22715	58	8	comprehensive	comprehensive	ADJ
brj-22715	58	9	dataset	dataset	NOUN
brj-22715	58	10	concerning	concern	VERB
brj-22715	58	11	furniture	furniture	NOUN
brj-22715	58	12	items	item	NOUN
brj-22715	58	13	within	within	ADP
brj-22715	58	14	such	such	ADJ
brj-22715	58	15	platforms	platform	NOUN
brj-22715	58	16	.	.	PUNCT
brj-22715	59	1	furthermore	furthermore	ADV
brj-22715	59	2	,	,	PUNCT
brj-22715	59	3	these	these	DET
brj-22715	59	4	websites	website	NOUN
brj-22715	59	5	also	also	ADV
brj-22715	59	6	facilitate	facilitate	VERB
brj-22715	59	7	data	datum	NOUN
brj-22715	59	8	acquisition	acquisition	NOUN
brj-22715	59	9	about	about	ADP
brj-22715	59	10	vastly	vastly	ADV
brj-22715	59	11	diverse	diverse	ADJ
brj-22715	59	12	furniture	furniture	NOUN
brj-22715	59	13	pieces	piece	NOUN
brj-22715	59	14	such	such	ADJ
brj-22715	59	15	as	as	ADP
brj-22715	59	16	beds	bed	NOUN
brj-22715	59	17	,	,	PUNCT
brj-22715	59	18	sofas	sofas	NOUN
brj-22715	59	19	,	,	PUNCT
brj-22715	59	20	tables	table	NOUN
brj-22715	59	21	,	,	PUNCT
brj-22715	59	22	and	and	CCONJ
brj-22715	59	23	chairs	chair	NOUN
brj-22715	59	24	.	.	PUNCT
brj-22715	60	1	nevertheless	nevertheless	ADV
brj-22715	60	2	,	,	PUNCT
brj-22715	60	3	there	there	PRON
brj-22715	60	4	exist	exist	VERB
brj-22715	60	5	constraints	constraint	NOUN
brj-22715	60	6	related	relate	VERB
brj-22715	60	7	to	to	ADP
brj-22715	60	8	the	the	DET
brj-22715	60	9	information	information	NOUN
brj-22715	60	10	accessible	accessible	ADJ
brj-22715	60	11	through	through	ADP
brj-22715	60	12	e	e	NOUN
brj-22715	60	13	-	-	NOUN
brj-22715	60	14	commerce	commerce	NOUN
brj-22715	60	15	platforms	platform	NOUN
brj-22715	60	16	.	.	PUNCT
brj-22715	61	1	to	to	PART
brj-22715	61	2	illustrate	illustrate	VERB
brj-22715	61	3	,	,	PUNCT
brj-22715	61	4	e	e	NOUN
brj-22715	61	5	-	-	NOUN
brj-22715	61	6	commerce	commerce	NOUN
brj-22715	61	7	websites	website	NOUN
brj-22715	61	8	refrain	refrain	VERB
brj-22715	61	9	from	from	ADP
brj-22715	61	10	divulging	divulge	VERB
brj-22715	61	11	personal	personal	ADJ
brj-22715	61	12	or	or	CCONJ
brj-22715	61	13	sensitive	sensitive	ADJ
brj-22715	61	14	data	datum	NOUN
brj-22715	61	15	about	about	ADP
brj-22715	61	16	customers	customer	NOUN
brj-22715	61	17	,	,	PUNCT
brj-22715	61	18	such	such	ADJ
brj-22715	61	19	as	as	ADP
brj-22715	61	20	credit	credit	NOUN
brj-22715	61	21	card	card	NOUN
brj-22715	61	22	numbers	number	NOUN
brj-22715	61	23	or	or	CCONJ
brj-22715	61	24	social	social	ADJ
brj-22715	61	25	security	security	NOUN
brj-22715	61	26	numbers	number	NOUN
brj-22715	61	27	.	.	PUNCT
brj-22715	62	1	moreover	moreover	ADV
brj-22715	62	2	,	,	PUNCT
brj-22715	62	3	detailed	detailed	ADJ
brj-22715	62	4	financial	financial	ADJ
brj-22715	62	5	particulars	particular	NOUN
brj-22715	62	6	concerning	concern	VERB
brj-22715	62	7	the	the	DET
brj-22715	62	8	company	company	NOUN
brj-22715	62	9	,	,	PUNCT
brj-22715	62	10	such	such	ADJ
brj-22715	62	11	as	as	ADP
brj-22715	62	12	revenue	revenue	NOUN
brj-22715	62	13	figures	figure	NOUN
brj-22715	62	14	or	or	CCONJ
brj-22715	62	15	profit	profit	NOUN
brj-22715	62	16	margins	margin	NOUN
brj-22715	62	17	,	,	PUNCT
brj-22715	62	18	are	be	AUX
brj-22715	62	19	generally	generally	ADV
brj-22715	62	20	not	not	PART
brj-22715	62	21	within	within	ADP
brj-22715	62	22	the	the	DET
brj-22715	62	23	purview	purview	NOUN
brj-22715	62	24	of	of	ADP
brj-22715	62	25	e	e	NOUN
brj-22715	62	26	-	-	NOUN
brj-22715	62	27	commerce	commerce	NOUN
brj-22715	62	28	platforms	platform	NOUN
brj-22715	62	29	.	.	PUNCT
brj-22715	63	1	instead	instead	ADV
brj-22715	63	2	,	,	PUNCT
brj-22715	63	3	the	the	DET
brj-22715	63	4	central	central	ADJ
brj-22715	63	5	focus	focus	NOUN
brj-22715	63	6	of	of	ADP
brj-22715	63	7	e	e	NOUN
brj-22715	63	8	-	-	NOUN
brj-22715	63	9	commerce	commerce	NOUN
brj-22715	63	10	websites	website	NOUN
brj-22715	63	11	resides	reside	VERB
brj-22715	63	12	in	in	ADP
brj-22715	63	13	furnishing	furnish	VERB
brj-22715	63	14	customers	customer	NOUN
brj-22715	63	15	with	with	ADP
brj-22715	63	16	a	a	DET
brj-22715	63	17	secure	secure	ADJ
brj-22715	63	18	and	and	CCONJ
brj-22715	63	19	gratifying	gratify	VERB
brj-22715	63	20	shopping	shopping	NOUN
brj-22715	63	21	encounter	encounter	NOUN
brj-22715	63	22	.	.	PUNCT
brj-22715	64	1	the	the	DET
brj-22715	64	2	ep	ep	PROPN
brj-22715	64	3	commerce	commerce	PROPN
brj-22715	64	4	sites	site	NOUN
brj-22715	64	5	are	be	AUX
brj-22715	64	6	platforms	platform	NOUN
brj-22715	64	7	that	that	PRON
brj-22715	64	8	are	be	AUX
brj-22715	64	9	becoming	become	VERB
brj-22715	64	10	increasingly	increasingly	ADV
brj-22715	64	11	common	common	ADJ
brj-22715	64	12	today	today	NOUN
brj-22715	64	13	and	and	CCONJ
brj-22715	64	14	remarkably	remarkably	ADV
brj-22715	64	15	transform	transform	VERB
brj-22715	64	16	the	the	DET
brj-22715	64	17	shopping	shopping	NOUN
brj-22715	64	18	experience	experience	NOUN
brj-22715	64	19	for	for	ADP
brj-22715	64	20	customers	customer	NOUN
brj-22715	64	21	.	.	PUNCT
brj-22715	65	1	customer	customer	NOUN
brj-22715	65	2	shopping	shopping	NOUN
brj-22715	65	3	behavior	behavior	NOUN
brj-22715	65	4	can	can	AUX
brj-22715	65	5	be	be	AUX
brj-22715	65	6	tracked	track	VERB
brj-22715	65	7	and	and	CCONJ
brj-22715	65	8	analyzed	analyze	VERB
brj-22715	65	9	on	on	ADP
brj-22715	65	10	these	these	DET
brj-22715	65	11	platforms	platform	NOUN
brj-22715	65	12	(	(	PUNCT
brj-22715	65	13	massimino	massimino	ADJ
brj-22715	65	14	2016	2016	NUM
brj-22715	65	15	;	;	PUNCT
brj-22715	65	16	zhou	zhou	PROPN
brj-22715	65	17	et	et	PROPN
brj-22715	65	18	al	al	PROPN
brj-22715	65	19	.	.	PROPN
brj-22715	65	20	2021	2021	NUM
brj-22715	65	21	)	)	PUNCT
brj-22715	65	22	.	.	PUNCT
brj-22715	66	1	in	in	ADP
brj-22715	66	2	a	a	DET
brj-22715	66	3	study	study	NOUN
brj-22715	66	4	,	,	PUNCT
brj-22715	66	5	online	online	ADJ
brj-22715	66	6	purchasing	purchase	VERB
brj-22715	66	7	data	datum	NOUN
brj-22715	66	8	of	of	ADP
brj-22715	66	9	consumers	consumer	NOUN
brj-22715	66	10	from	from	ADP
brj-22715	66	11	public	public	ADJ
brj-22715	66	12	e	e	PROPN
brj-22715	66	13	-	-	NOUN
brj-22715	66	14	commerce	commerce	NOUN
brj-22715	66	15	sites	site	NOUN
brj-22715	66	16	were	be	AUX
brj-22715	66	17	collected	collect	VERB
brj-22715	66	18	for	for	ADP
brj-22715	66	19	customer	customer	NOUN
brj-22715	66	20	segmentation	segmentation	NOUN
brj-22715	66	21	.	.	PUNCT
brj-22715	67	1	these	these	DET
brj-22715	67	2	data	datum	NOUN
brj-22715	67	3	were	be	AUX
brj-22715	67	4	processed	process	VERB
brj-22715	67	5	with	with	ADP
brj-22715	67	6	web	web	NOUN
brj-22715	67	7	mining	mining	NOUN
brj-22715	67	8	analysis	analysis	NOUN
brj-22715	67	9	to	to	PART
brj-22715	67	10	create	create	VERB
brj-22715	67	11	profiles	profile	NOUN
brj-22715	67	12	of	of	ADP
brj-22715	67	13	customer	customer	NOUN
brj-22715	67	14	purchasing	purchasing	NOUN
brj-22715	67	15	behaviors	behavior	NOUN
brj-22715	67	16	(	(	PUNCT
brj-22715	67	17	zhou	zhou	X
brj-22715	67	18	et	et	PROPN
brj-22715	67	19	al	al	PROPN
brj-22715	67	20	.	.	PROPN
brj-22715	67	21	2021	2021	NUM
brj-22715	67	22	)	)	PUNCT
brj-22715	67	23	.	.	PUNCT
brj-22715	68	1	a	a	DET
brj-22715	68	2	new	new	ADJ
brj-22715	68	3	approach	approach	NOUN
brj-22715	68	4	using	use	VERB
brj-22715	68	5	web	web	NOUN
brj-22715	68	6	mining	mining	NOUN
brj-22715	68	7	techniques	technique	NOUN
brj-22715	68	8	has	have	AUX
brj-22715	68	9	shown	show	VERB
brj-22715	68	10	effectiveness	effectiveness	NOUN
brj-22715	68	11	in	in	ADP
brj-22715	68	12	accurately	accurately	ADV
brj-22715	68	13	estimating	estimate	VERB
brj-22715	68	14	unemployment	unemployment	NOUN
brj-22715	68	15	rates	rate	NOUN
brj-22715	68	16	.	.	PUNCT
brj-22715	69	1	it	it	PRON
brj-22715	69	2	was	be	AUX
brj-22715	69	3	also	also	ADV
brj-22715	69	4	emphasized	emphasize	VERB
brj-22715	69	5	that	that	SCONJ
brj-22715	69	6	the	the	DET
brj-22715	69	7	proposed	propose	VERB
brj-22715	69	8	framework	framework	NOUN
brj-22715	69	9	could	could	AUX
brj-22715	69	10	help	help	VERB
brj-22715	69	11	understand	understand	VERB
brj-22715	69	12	the	the	DET
brj-22715	69	13	factors	factor	NOUN
brj-22715	69	14	underlying	underlie	VERB
brj-22715	69	15	unemployment	unemployment	NOUN
brj-22715	69	16	rates	rate	NOUN
brj-22715	69	17	and	and	CCONJ
brj-22715	69	18	can	can	AUX
brj-22715	69	19	provide	provide	VERB
brj-22715	69	20	people	people	NOUN
brj-22715	69	21	with	with	ADP
brj-22715	69	22	understandable	understandable	ADJ
brj-22715	69	23	qualitative	qualitative	ADJ
brj-22715	69	24	clues	clue	NOUN
brj-22715	69	25	(	(	PUNCT
brj-22715	69	26	li	li	PROPN
brj-22715	69	27	et	et	PROPN
brj-22715	69	28	al	al	PROPN
brj-22715	69	29	.	.	PROPN
brj-22715	69	30	2014	2014	NUM
brj-22715	69	31	)	)	PUNCT
brj-22715	69	32	.	.	PUNCT
brj-22715	70	1	in	in	ADP
brj-22715	70	2	another	another	DET
brj-22715	70	3	study	study	NOUN
brj-22715	70	4	,	,	PUNCT
brj-22715	70	5	a	a	DET
brj-22715	70	6	method	method	NOUN
brj-22715	70	7	is	be	AUX
brj-22715	70	8	proposed	propose	VERB
brj-22715	70	9	based	base	VERB
brj-22715	70	10	on	on	ADP
brj-22715	70	11	the	the	DET
brj-22715	70	12	idea	idea	NOUN
brj-22715	70	13	of	of	ADP
brj-22715	70	14	developing	develop	VERB
brj-22715	70	15	a	a	DET
brj-22715	70	16	scenario	scenario	NOUN
brj-22715	70	17	using	use	VERB
brj-22715	70	18	web	web	NOUN
brj-22715	70	19	mining	mining	NOUN
brj-22715	70	20	for	for	ADP
brj-22715	70	21	a	a	DET
brj-22715	70	22	specific	specific	ADJ
brj-22715	70	23	topic	topic	NOUN
brj-22715	70	24	.	.	PUNCT
brj-22715	71	1	this	this	DET
brj-22715	71	2	method	method	NOUN
brj-22715	71	3	has	have	AUX
brj-22715	71	4	been	be	AUX
brj-22715	71	5	highlighted	highlight	VERB
brj-22715	71	6	as	as	ADP
brj-22715	71	7	having	have	VERB
brj-22715	71	8	the	the	DET
brj-22715	71	9	potential	potential	NOUN
brj-22715	71	10	to	to	PART
brj-22715	71	11	improve	improve	VERB
brj-22715	71	12	time	time	NOUN
brj-22715	71	13	-	-	PUNCT
brj-22715	71	14	consuming	consume	VERB
brj-22715	71	15	desk	desk	NOUN
brj-22715	71	16	research	research	NOUN
brj-22715	71	17	in	in	ADP
brj-22715	71	18	scenario	scenario	NOUN
brj-22715	71	19	projects	project	NOUN
brj-22715	71	20	and	and	CCONJ
brj-22715	71	21	has	have	AUX
brj-22715	71	22	proven	prove	VERB
brj-22715	71	23	to	to	PART
brj-22715	71	24	be	be	AUX
brj-22715	71	25	very	very	ADV
brj-22715	71	26	useful	useful	ADJ
brj-22715	71	27	(	(	PUNCT
brj-22715	71	28	kayser	kayser	NOUN
brj-22715	71	29	and	and	CCONJ
brj-22715	71	30	shala	shala	NOUN
brj-22715	71	31	2020	2020	NUM
brj-22715	71	32	)	)	PUNCT
brj-22715	71	33	.	.	PUNCT
brj-22715	72	1	this	this	DET
brj-22715	72	2	study	study	NOUN
brj-22715	72	3	aims	aim	VERB
brj-22715	72	4	to	to	PART
brj-22715	72	5	investigate	investigate	VERB
brj-22715	72	6	the	the	DET
brj-22715	72	7	applicability	applicability	NOUN
brj-22715	72	8	of	of	ADP
brj-22715	72	9	different	different	ADJ
brj-22715	72	10	ml	ml	NOUN
brj-22715	72	11	algorithms	algorithm	NOUN
brj-22715	72	12	to	to	PART
brj-22715	72	13	predict	predict	VERB
brj-22715	72	14	the	the	DET
brj-22715	72	15	prices	price	NOUN
brj-22715	72	16	of	of	ADP
brj-22715	72	17	furniture	furniture	NOUN
brj-22715	72	18	products	product	NOUN
brj-22715	72	19	using	use	VERB
brj-22715	72	20	a	a	DET
brj-22715	72	21	data	data	NOUN
brj-22715	72	22	set	set	VERB
brj-22715	72	23	obtained	obtain	VERB
brj-22715	72	24	from	from	ADP
brj-22715	72	25	e	e	PROPN
brj-22715	72	26	-	-	NOUN
brj-22715	72	27	commerce	commerce	NOUN
brj-22715	72	28	sites	site	NOUN
brj-22715	72	29	.	.	PUNCT
brj-22715	73	1	in	in	ADP
brj-22715	73	2	addition	addition	NOUN
brj-22715	73	3	to	to	ADP
brj-22715	73	4	the	the	DET
brj-22715	73	5	furniture	furniture	NOUN
brj-22715	73	6	products	product	NOUN
brj-22715	73	7	’	'	PUNCT
brj-22715	73	8	features	feature	NOUN
brj-22715	73	9	,	,	PUNCT
brj-22715	73	10	the	the	DET
brj-22715	73	11	prepared	prepare	VERB
brj-22715	73	12	data	datum	NOUN
brj-22715	73	13	set	set	VERB
brj-22715	73	14	includes	include	VERB
brj-22715	73	15	each	each	DET
brj-22715	73	16	product	product	NOUN
brj-22715	73	17	’s	’s	PART
brj-22715	73	18	price	price	NOUN
brj-22715	73	19	information	information	NOUN
brj-22715	73	20	.	.	PUNCT
brj-22715	74	1	the	the	DET
brj-22715	74	2	price	price	NOUN
brj-22715	74	3	information	information	NOUN
brj-22715	74	4	utilized	utilize	VERB
brj-22715	74	5	in	in	ADP
brj-22715	74	6	our	our	PRON
brj-22715	74	7	study	study	NOUN
brj-22715	74	8	is	be	AUX
brj-22715	74	9	directly	directly	ADV
brj-22715	74	10	sourced	source	VERB
brj-22715	74	11	from	from	ADP
brj-22715	74	12	various	various	ADJ
brj-22715	74	13	e	e	NOUN
brj-22715	74	14	-	-	NOUN
brj-22715	74	15	commerce	commerce	NOUN
brj-22715	74	16	platforms	platform	NOUN
brj-22715	74	17	themselves	themselves	PRON
brj-22715	74	18	.	.	PUNCT
brj-22715	75	1	the	the	DET
brj-22715	75	2	present	present	ADJ
brj-22715	75	3	analysis	analysis	NOUN
brj-22715	75	4	is	be	AUX
brj-22715	75	5	founded	found	VERB
brj-22715	75	6	upon	upon	SCONJ
brj-22715	75	7	the	the	DET
brj-22715	75	8	authentic	authentic	ADJ
brj-22715	75	9	price	price	NOUN
brj-22715	75	10	listings	listing	NOUN
brj-22715	75	11	furnished	furnish	VERB
brj-22715	75	12	by	by	ADP
brj-22715	75	13	these	these	DET
brj-22715	75	14	platforms	platform	NOUN
brj-22715	75	15	.	.	PUNCT
brj-22715	76	1	the	the	DET
brj-22715	76	2	pricing	pricing	NOUN
brj-22715	76	3	data	datum	NOUN
brj-22715	76	4	was	be	AUX
brj-22715	76	5	gathered	gather	VERB
brj-22715	76	6	between	between	ADP
brj-22715	76	7	the	the	DET
brj-22715	76	8	dates	date	NOUN
brj-22715	76	9	of	of	ADP
brj-22715	76	10	january	january	PROPN
brj-22715	76	11	21	21	NUM
brj-22715	76	12	,	,	PUNCT
brj-22715	76	13	2023	2023	NUM
brj-22715	76	14	,	,	PUNCT
brj-22715	76	15	and	and	CCONJ
brj-22715	76	16	march	march	PROPN
brj-22715	76	17	21	21	NUM
brj-22715	76	18	,	,	PUNCT
brj-22715	76	19	2023	2023	NUM
brj-22715	76	20	.	.	PUNCT
brj-22715	77	1	the	the	DET
brj-22715	77	2	investigation	investigation	NOUN
brj-22715	77	3	revealed	reveal	VERB
brj-22715	77	4	a	a	DET
brj-22715	77	5	set	set	NOUN
brj-22715	77	6	of	of	ADP
brj-22715	77	7	eight	eight	NUM
brj-22715	77	8	unique	unique	ADJ
brj-22715	77	9	characteristics	characteristic	NOUN
brj-22715	77	10	associated	associate	VERB
brj-22715	77	11	with	with	ADP
brj-22715	77	12	furniture	furniture	NOUN
brj-22715	77	13	products	product	NOUN
brj-22715	77	14	.	.	PUNCT
brj-22715	78	1	these	these	DET
brj-22715	78	2	attributes	attribute	NOUN
brj-22715	78	3	encompass	encompass	VERB
brj-22715	78	4	a	a	DET
brj-22715	78	5	range	range	NOUN
brj-22715	78	6	of	of	ADP
brj-22715	78	7	measurements	measurement	NOUN
brj-22715	78	8	,	,	PUNCT
brj-22715	78	9	including	include	VERB
brj-22715	78	10	width	width	NOUN
brj-22715	78	11	,	,	PUNCT
brj-22715	78	12	depth	depth	NOUN
brj-22715	78	13	,	,	PUNCT
brj-22715	78	14	and	and	CCONJ
brj-22715	78	15	height	height	NOUN
brj-22715	78	16	,	,	PUNCT
brj-22715	78	17	as	as	ADV
brj-22715	78	18	well	well	ADV
brj-22715	78	19	as	as	ADP
brj-22715	78	20	features	feature	NOUN
brj-22715	78	21	such	such	ADJ
brj-22715	78	22	as	as	ADP
brj-22715	78	23	frame	frame	NOUN
brj-22715	78	24	material	material	NOUN
brj-22715	78	25	,	,	PUNCT
brj-22715	78	26	partition	partition	NOUN
brj-22715	78	27	count	count	NOUN
brj-22715	78	28	,	,	PUNCT
brj-22715	78	29	drawer	drawer	NOUN
brj-22715	78	30	count	count	NOUN
brj-22715	78	31	,	,	PUNCT
brj-22715	78	32	color	color	NOUN
brj-22715	78	33	,	,	PUNCT
brj-22715	78	34	and	and	CCONJ
brj-22715	78	35	price	price	NOUN
brj-22715	78	36	.	.	PUNCT
brj-22715	79	1	to	to	PART
brj-22715	79	2	formulate	formulate	VERB
brj-22715	79	3	predictive	predictive	ADJ
brj-22715	79	4	models	model	NOUN
brj-22715	79	5	,	,	PUNCT
brj-22715	79	6	a	a	DET
brj-22715	79	7	dataset	dataset	NOUN
brj-22715	79	8	consisting	consist	VERB
brj-22715	79	9	of	of	ADP
brj-22715	79	10	300	300	NUM
brj-22715	79	11	instances	instance	NOUN
brj-22715	79	12	was	be	AUX
brj-22715	79	13	systematically	systematically	ADV
brj-22715	79	14	compiled	compile	VERB
brj-22715	79	15	,	,	PUNCT
brj-22715	79	16	facilitating	facilitate	VERB
brj-22715	79	17	a	a	DET
brj-22715	79	18	thorough	thorough	ADJ
brj-22715	79	19	analysis	analysis	NOUN
brj-22715	79	20	.	.	PUNCT
brj-22715	80	1	the	the	DET
brj-22715	80	2	relationships	relationship	NOUN
brj-22715	80	3	between	between	ADP
brj-22715	80	4	furniture	furniture	NOUN
brj-22715	80	5	products	product	NOUN
brj-22715	80	6	’	'	PUNCT
brj-22715	80	7	features	feature	NOUN
brj-22715	80	8	and	and	CCONJ
brj-22715	80	9	price	price	NOUN
brj-22715	80	10	information	information	NOUN
brj-22715	80	11	in	in	ADP
brj-22715	80	12	the	the	DET
brj-22715	80	13	data	datum	NOUN
brj-22715	80	14	set	set	VERB
brj-22715	80	15	were	be	AUX
brj-22715	80	16	examined	examine	VERB
brj-22715	80	17	using	use	VERB
brj-22715	80	18	data	datum	NOUN
brj-22715	80	19	mining	mining	NOUN
brj-22715	80	20	techniques	technique	NOUN
brj-22715	80	21	.	.	PUNCT
brj-22715	81	1	the	the	DET
brj-22715	81	2	results	result	NOUN
brj-22715	81	3	revealed	reveal	VERB
brj-22715	81	4	that	that	SCONJ
brj-22715	81	5	data	data	NOUN
brj-22715	81	6	mining	mining	NOUN
brj-22715	81	7	techniques	technique	NOUN
brj-22715	81	8	can	can	AUX
brj-22715	81	9	be	be	AUX
brj-22715	81	10	used	use	VERB
brj-22715	81	11	successfully	successfully	ADV
brj-22715	81	12	to	to	PART
brj-22715	81	13	predict	predict	VERB
brj-22715	81	14	the	the	DET
brj-22715	81	15	prices	price	NOUN
brj-22715	81	16	of	of	ADP
brj-22715	81	17	furniture	furniture	NOUN
brj-22715	81	18	products	product	NOUN
brj-22715	81	19	.	.	PUNCT
brj-22715	82	1	in	in	ADP
brj-22715	82	2	addition	addition	NOUN
brj-22715	82	3	,	,	PUNCT
brj-22715	82	4	the	the	DET
brj-22715	82	5	study	study	NOUN
brj-22715	82	6	can	can	AUX
brj-22715	82	7	provide	provide	VERB
brj-22715	82	8	an	an	DET
brj-22715	82	9	essential	essential	ADJ
brj-22715	82	10	resource	resource	NOUN
brj-22715	82	11	for	for	ADP
brj-22715	82	12	the	the	DET
brj-22715	82	13	furniture	furniture	NOUN
brj-22715	82	14	industry	industry	NOUN
brj-22715	82	15	to	to	PART
brj-22715	82	16	determine	determine	VERB
brj-22715	82	17	the	the	DET
brj-22715	82	18	correct	correct	ADJ
brj-22715	82	19	pricing	pricing	NOUN
brj-22715	82	20	strategies	strategy	NOUN
brj-22715	82	21	and	and	CCONJ
brj-22715	82	22	offer	offer	VERB
brj-22715	82	23	products	product	NOUN
brj-22715	82	24	that	that	PRON
brj-22715	82	25	meet	meet	VERB
brj-22715	82	26	customer	customer	NOUN
brj-22715	82	27	demands	demand	NOUN
brj-22715	82	28	.	.	PUNCT
brj-22715	83	1	experimental	experimental	ADJ
brj-22715	83	2	data	datum	NOUN
brj-22715	83	3	collection	collection	NOUN
brj-22715	83	4	in	in	ADP
brj-22715	83	5	this	this	DET
brj-22715	83	6	study	study	NOUN
brj-22715	83	7	,	,	PUNCT
brj-22715	83	8	price	price	NOUN
brj-22715	83	9	estimates	estimate	NOUN
brj-22715	83	10	were	be	AUX
brj-22715	83	11	made	make	VERB
brj-22715	83	12	for	for	ADP
brj-22715	83	13	different	different	ADJ
brj-22715	83	14	types	type	NOUN
brj-22715	83	15	of	of	ADP
brj-22715	83	16	furniture	furniture	NOUN
brj-22715	83	17	,	,	PUNCT
brj-22715	83	18	such	such	ADJ
brj-22715	83	19	as	as	ADP
brj-22715	83	20	bookcases	bookcase	NOUN
brj-22715	83	21	and	and	CCONJ
brj-22715	83	22	dressers	dresser	NOUN
brj-22715	83	23	.	.	PUNCT
brj-22715	84	1	the	the	DET
brj-22715	84	2	data	datum	NOUN
brj-22715	84	3	were	be	AUX
brj-22715	84	4	obtained	obtain	VERB
brj-22715	84	5	from	from	ADP
brj-22715	84	6	three	three	NUM
brj-22715	84	7	different	different	ADJ
brj-22715	84	8	public	public	ADJ
brj-22715	84	9	e	e	NOUN
brj-22715	84	10	-	-	NOUN
brj-22715	84	11	commerce	commerce	NOUN
brj-22715	84	12	sites	site	NOUN
brj-22715	84	13	and	and	CCONJ
brj-22715	84	14	analyzed	analyze	VERB
brj-22715	84	15	using	use	VERB
brj-22715	84	16	ml	ml	NOUN
brj-22715	84	17	models	model	NOUN
brj-22715	84	18	.	.	PUNCT
brj-22715	85	1	the	the	DET
brj-22715	85	2	collected	collect	VERB
brj-22715	85	3	data	datum	NOUN
brj-22715	85	4	were	be	AUX
brj-22715	85	5	homogenized	homogenize	VERB
brj-22715	85	6	according	accord	VERB
brj-22715	85	7	to	to	ADP
brj-22715	85	8	peer	peer	NOUN
brj-22715	85	9	-	-	PUNCT
brj-22715	85	10	reviewed	review	VERB
brj-22715	85	11	article	article	NOUN
brj-22715	85	12	bioresources.com	bioresources.com	X
brj-22715	85	13	bardak	bardak	PROPN
brj-22715	85	14	et	et	PROPN
brj-22715	85	15	al	al	PROPN
brj-22715	85	16	.	.	PROPN
brj-22715	86	1	(	(	PUNCT
brj-22715	86	2	2023	2023	NUM
brj-22715	86	3	)	)	PUNCT
brj-22715	86	4	.	.	PUNCT
brj-22715	87	1	“	"	PUNCT
brj-22715	87	2	furniture	furniture	NOUN
brj-22715	87	3	prices	price	NOUN
brj-22715	87	4	by	by	ADP
brj-22715	87	5	web	web	NOUN
brj-22715	87	6	mining	mining	NOUN
brj-22715	87	7	,	,	PUNCT
brj-22715	87	8	”	"	PUNCT
brj-22715	87	9	bioresources	bioresource	NOUN
brj-22715	87	10	18(4	18(4	NUM
brj-22715	87	11	)	)	PUNCT
brj-22715	87	12	,	,	PUNCT
brj-22715	87	13	7412	7412	NUM
brj-22715	87	14	-	-	SYM
brj-22715	87	15	7427	7427	NUM
brj-22715	87	16	.	.	PUNCT
brj-22715	88	1	7415	7415	NUM
brj-22715	88	2	criteria	criterion	NOUN
brj-22715	88	3	such	such	ADJ
brj-22715	88	4	as	as	ADP
brj-22715	88	5	product	product	NOUN
brj-22715	88	6	categories	category	NOUN
brj-22715	88	7	and	and	CCONJ
brj-22715	88	8	price	price	NOUN
brj-22715	88	9	ranges	range	NOUN
brj-22715	88	10	to	to	PART
brj-22715	88	11	eliminate	eliminate	VERB
brj-22715	88	12	inconsistencies	inconsistency	NOUN
brj-22715	88	13	arising	arise	VERB
brj-22715	88	14	from	from	ADP
brj-22715	88	15	the	the	DET
brj-22715	88	16	different	different	ADJ
brj-22715	88	17	structures	structure	NOUN
brj-22715	88	18	of	of	ADP
brj-22715	88	19	the	the	DET
brj-22715	88	20	web	web	NOUN
brj-22715	88	21	pages	page	NOUN
brj-22715	88	22	.	.	PUNCT
brj-22715	89	1	the	the	DET
brj-22715	89	2	analysis	analysis	NOUN
brj-22715	89	3	determined	determine	VERB
brj-22715	89	4	eight	eight	NUM
brj-22715	89	5	different	different	ADJ
brj-22715	89	6	features	feature	NOUN
brj-22715	89	7	for	for	ADP
brj-22715	89	8	the	the	DET
brj-22715	89	9	furniture	furniture	NOUN
brj-22715	89	10	:	:	PUNCT
brj-22715	89	11	width	width	ADJ
brj-22715	89	12	,	,	PUNCT
brj-22715	89	13	depth	depth	NOUN
brj-22715	89	14	,	,	PUNCT
brj-22715	89	15	height	height	NOUN
brj-22715	89	16	,	,	PUNCT
brj-22715	89	17	frame	frame	NOUN
brj-22715	89	18	material	material	NOUN
brj-22715	89	19	,	,	PUNCT
brj-22715	89	20	number	number	NOUN
brj-22715	89	21	of	of	ADP
brj-22715	89	22	partitions	partition	NOUN
brj-22715	89	23	,	,	PUNCT
brj-22715	89	24	number	number	NOUN
brj-22715	89	25	of	of	ADP
brj-22715	89	26	drawers	drawer	NOUN
brj-22715	89	27	,	,	PUNCT
brj-22715	89	28	color	color	NOUN
brj-22715	89	29	,	,	PUNCT
brj-22715	89	30	and	and	CCONJ
brj-22715	89	31	price	price	NOUN
brj-22715	89	32	.	.	PUNCT
brj-22715	90	1	300	300	NUM
brj-22715	90	2	pieces	piece	NOUN
brj-22715	90	3	of	of	ADP
brj-22715	90	4	data	datum	NOUN
brj-22715	90	5	were	be	AUX
brj-22715	90	6	gathered	gather	VERB
brj-22715	90	7	for	for	ADP
brj-22715	90	8	two	two	NUM
brj-22715	90	9	distinct	distinct	ADJ
brj-22715	90	10	furniture	furniture	NOUN
brj-22715	90	11	categories	category	NOUN
brj-22715	90	12	for	for	ADP
brj-22715	90	13	predictive	predictive	ADJ
brj-22715	90	14	purposes	purpose	NOUN
brj-22715	90	15	.	.	PUNCT
brj-22715	91	1	of	of	ADP
brj-22715	91	2	these	these	DET
brj-22715	91	3	datasets	dataset	NOUN
brj-22715	91	4	,	,	PUNCT
brj-22715	91	5	150	150	NUM
brj-22715	91	6	pertained	pertain	VERB
brj-22715	91	7	to	to	ADP
brj-22715	91	8	bookcases	bookcase	NOUN
brj-22715	91	9	,	,	PUNCT
brj-22715	91	10	while	while	SCONJ
brj-22715	91	11	the	the	DET
brj-22715	91	12	remaining	remain	VERB
brj-22715	91	13	150	150	NUM
brj-22715	91	14	were	be	AUX
brj-22715	91	15	connected	connect	VERB
brj-22715	91	16	to	to	ADP
brj-22715	91	17	dressers	dresser	NOUN
brj-22715	91	18	.	.	PUNCT
brj-22715	92	1	tables	table	NOUN
brj-22715	92	2	1	1	NUM
brj-22715	92	3	and	and	CCONJ
brj-22715	92	4	2	2	NUM
brj-22715	92	5	summarize	summarize	VERB
brj-22715	92	6	the	the	DET
brj-22715	92	7	attributes	attribute	NOUN
brj-22715	92	8	in	in	ADP
brj-22715	92	9	the	the	DET
brj-22715	92	10	training	training	NOUN
brj-22715	92	11	dataset	dataset	NOUN
brj-22715	92	12	used	use	VERB
brj-22715	92	13	for	for	ADP
brj-22715	92	14	the	the	DET
brj-22715	92	15	price	price	NOUN
brj-22715	92	16	prediction	prediction	NOUN
brj-22715	92	17	of	of	ADP
brj-22715	92	18	types	type	NOUN
brj-22715	92	19	of	of	ADP
brj-22715	92	20	furniture	furniture	NOUN
brj-22715	92	21	.	.	PUNCT
brj-22715	93	1	table	table	NOUN
brj-22715	93	2	1	1	NUM
brj-22715	93	3	.	.	PUNCT
brj-22715	94	1	summary	summary	NOUN
brj-22715	94	2	of	of	ADP
brj-22715	94	3	training	training	NOUN
brj-22715	94	4	dataset	dataset	NOUN
brj-22715	94	5	used	use	VERB
brj-22715	94	6	for	for	ADP
brj-22715	94	7	price	price	NOUN
brj-22715	94	8	prediction	prediction	NOUN
brj-22715	94	9	of	of	ADP
brj-22715	94	10	bookcase	bookcase	NOUN
brj-22715	94	11	furniture	furniture	NOUN
brj-22715	94	12	attribute	attribute	NOUN
brj-22715	94	13	name	name	NOUN
brj-22715	94	14	attribute	attribute	NOUN
brj-22715	94	15	type	type	NOUN
brj-22715	94	16	attribute	attribute	NOUN
brj-22715	94	17	description	description	NOUN
brj-22715	94	18	frame	frame	NOUN
brj-22715	94	19	material	material	NOUN
brj-22715	94	20	nominal	nominal	ADJ
brj-22715	94	21	frame	frame	NOUN
brj-22715	94	22	material	material	NOUN
brj-22715	94	23	of	of	ADP
brj-22715	94	24	furniture	furniture	NOUN
brj-22715	94	25	(	(	PUNCT
brj-22715	94	26	particleboard	particleboard	NOUN
brj-22715	94	27	,	,	PUNCT
brj-22715	94	28	fiberboard	fiberboard	NOUN
brj-22715	94	29	,	,	PUNCT
brj-22715	94	30	or	or	CCONJ
brj-22715	94	31	particleboard	particleboard	NOUN
brj-22715	94	32	and	and	CCONJ
brj-22715	94	33	fiberboard	fiberboard	NOUN
brj-22715	94	34	)	)	PUNCT
brj-22715	94	35	color	color	NOUN
brj-22715	94	36	nominal	nominal	ADJ
brj-22715	94	37	color	color	NOUN
brj-22715	94	38	of	of	ADP
brj-22715	94	39	furniture	furniture	NOUN
brj-22715	94	40	(	(	PUNCT
brj-22715	94	41	white	white	ADJ
brj-22715	94	42	,	,	PUNCT
brj-22715	94	43	brown	brown	ADJ
brj-22715	94	44	,	,	PUNCT
brj-22715	94	45	or	or	CCONJ
brj-22715	94	46	gray	gray	ADJ
brj-22715	94	47	)	)	PUNCT
brj-22715	94	48	width	width	ADJ
brj-22715	94	49	numeric	numeric	ADJ
brj-22715	94	50	width	width	NOUN
brj-22715	94	51	of	of	ADP
brj-22715	94	52	furniture	furniture	NOUN
brj-22715	94	53	(	(	PUNCT
brj-22715	94	54	range	range	NOUN
brj-22715	94	55	,	,	PUNCT
brj-22715	94	56	12	12	NUM
brj-22715	94	57	to	to	PART
brj-22715	94	58	79	79	NUM
brj-22715	94	59	inch	inch	NOUN
brj-22715	94	60	)	)	PUNCT
brj-22715	94	61	depth	depth	NOUN
brj-22715	94	62	numeric	numeric	ADJ
brj-22715	94	63	depth	depth	NOUN
brj-22715	94	64	of	of	ADP
brj-22715	94	65	furniture	furniture	NOUN
brj-22715	94	66	(	(	PUNCT
brj-22715	94	67	range	range	NOUN
brj-22715	94	68	,	,	PUNCT
brj-22715	94	69	5	5	NUM
brj-22715	94	70	to	to	PART
brj-22715	94	71	31	31	NUM
brj-22715	94	72	inch	inch	NOUN
brj-22715	94	73	)	)	PUNCT
brj-22715	94	74	height	height	NOUN
brj-22715	94	75	numeric	numeric	ADJ
brj-22715	94	76	height	height	NOUN
brj-22715	94	77	of	of	ADP
brj-22715	94	78	furniture	furniture	NOUN
brj-22715	94	79	(	(	PUNCT
brj-22715	94	80	range	range	NOUN
brj-22715	94	81	,	,	PUNCT
brj-22715	94	82	7	7	NUM
brj-22715	94	83	to	to	PART
brj-22715	94	84	93	93	NUM
brj-22715	94	85	inch	inch	NOUN
brj-22715	94	86	)	)	PUNCT
brj-22715	94	87	number	number	NOUN
brj-22715	94	88	of	of	ADP
brj-22715	94	89	partitions	partition	NOUN
brj-22715	94	90	numeric	numeric	ADJ
brj-22715	94	91	number	number	NOUN
brj-22715	94	92	of	of	ADP
brj-22715	94	93	partitions	partition	NOUN
brj-22715	94	94	of	of	ADP
brj-22715	94	95	furniture	furniture	NOUN
brj-22715	94	96	(	(	PUNCT
brj-22715	94	97	range	range	NOUN
brj-22715	94	98	,	,	PUNCT
brj-22715	94	99	1	1	NUM
brj-22715	94	100	to	to	PART
brj-22715	94	101	25	25	NUM
brj-22715	94	102	)	)	PUNCT
brj-22715	94	103	price	price	NOUN
brj-22715	94	104	numeric	numeric	ADP
brj-22715	94	105	the	the	DET
brj-22715	94	106	price	price	NOUN
brj-22715	94	107	of	of	ADP
brj-22715	94	108	the	the	DET
brj-22715	94	109	furniture	furniture	NOUN
brj-22715	94	110	(	(	PUNCT
brj-22715	94	111	range	range	NOUN
brj-22715	94	112	,	,	PUNCT
brj-22715	94	113	30	30	NUM
brj-22715	94	114	to	to	PART
brj-22715	94	115	359	359	NUM
brj-22715	94	116	us	us	PROPN
brj-22715	94	117	dollar	dollar	NOUN
brj-22715	94	118	)	)	PUNCT
brj-22715	94	119	note	note	NOUN
brj-22715	94	120	:	:	PUNCT
brj-22715	94	121	the	the	DET
brj-22715	94	122	term	term	NOUN
brj-22715	94	123	"	"	PUNCT
brj-22715	94	124	inch	inch	NOUN
brj-22715	94	125	"	"	PUNCT
brj-22715	94	126	used	use	VERB
brj-22715	94	127	in	in	ADP
brj-22715	94	128	this	this	DET
brj-22715	94	129	table	table	NOUN
brj-22715	94	130	is	be	AUX
brj-22715	94	131	approximately	approximately	ADV
brj-22715	94	132	equivalent	equivalent	ADJ
brj-22715	94	133	to	to	ADP
brj-22715	94	134	2.54	2.54	NUM
brj-22715	94	135	centimeters	centimeter	NOUN
brj-22715	94	136	(	(	PUNCT
brj-22715	94	137	cm	cm	NOUN
brj-22715	94	138	)	)	PUNCT
brj-22715	94	139	.	.	PUNCT
brj-22715	95	1	table	table	NOUN
brj-22715	96	1	2	2	NUM
brj-22715	96	2	.	.	PUNCT
brj-22715	96	3	summary	summary	NOUN
brj-22715	96	4	of	of	ADP
brj-22715	96	5	training	training	NOUN
brj-22715	96	6	dataset	dataset	NOUN
brj-22715	96	7	used	use	VERB
brj-22715	96	8	for	for	ADP
brj-22715	96	9	price	price	NOUN
brj-22715	96	10	prediction	prediction	NOUN
brj-22715	96	11	of	of	ADP
brj-22715	96	12	dresser	dresser	NOUN
brj-22715	96	13	furniture	furniture	NOUN
brj-22715	96	14	attribute	attribute	NOUN
brj-22715	96	15	name	name	NOUN
brj-22715	96	16	attribute	attribute	NOUN
brj-22715	96	17	type	type	NOUN
brj-22715	96	18	attribute	attribute	NOUN
brj-22715	96	19	description	description	NOUN
brj-22715	96	20	frame	frame	NOUN
brj-22715	96	21	material	material	NOUN
brj-22715	96	22	nominal	nominal	ADJ
brj-22715	96	23	frame	frame	NOUN
brj-22715	96	24	material	material	NOUN
brj-22715	96	25	of	of	ADP
brj-22715	96	26	furniture	furniture	NOUN
brj-22715	96	27	(	(	PUNCT
brj-22715	96	28	particleboard	particleboard	NOUN
brj-22715	96	29	,	,	PUNCT
brj-22715	96	30	fiberboard	fiberboard	NOUN
brj-22715	96	31	,	,	PUNCT
brj-22715	96	32	or	or	CCONJ
brj-22715	96	33	particleboard	particleboard	NOUN
brj-22715	96	34	and	and	CCONJ
brj-22715	96	35	fiberboard	fiberboard	NOUN
brj-22715	96	36	color	color	NOUN
brj-22715	96	37	nominal	nominal	ADJ
brj-22715	96	38	color	color	NOUN
brj-22715	96	39	of	of	ADP
brj-22715	96	40	furniture	furniture	NOUN
brj-22715	96	41	(	(	PUNCT
brj-22715	96	42	white	white	ADJ
brj-22715	96	43	,	,	PUNCT
brj-22715	96	44	brown	brown	ADJ
brj-22715	96	45	,	,	PUNCT
brj-22715	96	46	or	or	CCONJ
brj-22715	96	47	gray	gray	ADJ
brj-22715	96	48	)	)	PUNCT
brj-22715	96	49	width	width	ADJ
brj-22715	96	50	numeric	numeric	ADJ
brj-22715	96	51	width	width	NOUN
brj-22715	96	52	of	of	ADP
brj-22715	96	53	furniture	furniture	NOUN
brj-22715	96	54	(	(	PUNCT
brj-22715	96	55	range	range	NOUN
brj-22715	96	56	,	,	PUNCT
brj-22715	96	57	14	14	NUM
brj-22715	96	58	to	to	PART
brj-22715	96	59	64	64	NUM
brj-22715	96	60	inch	inch	NOUN
brj-22715	96	61	)	)	PUNCT
brj-22715	96	62	depth	depth	NOUN
brj-22715	96	63	numeric	numeric	ADJ
brj-22715	96	64	depth	depth	NOUN
brj-22715	96	65	of	of	ADP
brj-22715	96	66	furniture	furniture	NOUN
brj-22715	96	67	(	(	PUNCT
brj-22715	96	68	range	range	NOUN
brj-22715	96	69	,	,	PUNCT
brj-22715	96	70	13	13	NUM
brj-22715	96	71	to	to	PART
brj-22715	96	72	57	57	NUM
brj-22715	96	73	inch	inch	NOUN
brj-22715	96	74	)	)	PUNCT
brj-22715	96	75	height	height	NOUN
brj-22715	96	76	numeric	numeric	ADJ
brj-22715	96	77	height	height	NOUN
brj-22715	96	78	of	of	ADP
brj-22715	96	79	furniture	furniture	NOUN
brj-22715	96	80	(	(	PUNCT
brj-22715	96	81	range	range	NOUN
brj-22715	96	82	,	,	PUNCT
brj-22715	96	83	13	13	NUM
brj-22715	96	84	to	to	PART
brj-22715	96	85	57	57	NUM
brj-22715	96	86	inch	inch	NOUN
brj-22715	96	87	)	)	PUNCT
brj-22715	96	88	number	number	NOUN
brj-22715	96	89	of	of	ADP
brj-22715	96	90	drawers	drawer	NOUN
brj-22715	96	91	numeric	numeric	ADJ
brj-22715	96	92	number	number	NOUN
brj-22715	96	93	of	of	ADP
brj-22715	96	94	drawers	drawer	NOUN
brj-22715	96	95	of	of	ADP
brj-22715	96	96	furniture	furniture	NOUN
brj-22715	96	97	(	(	PUNCT
brj-22715	96	98	range	range	NOUN
brj-22715	96	99	,	,	PUNCT
brj-22715	96	100	1	1	NUM
brj-22715	96	101	to	to	PART
brj-22715	96	102	12	12	NUM
brj-22715	96	103	)	)	PUNCT
brj-22715	96	104	price	price	NOUN
brj-22715	96	105	numeric	numeric	ADP
brj-22715	96	106	the	the	DET
brj-22715	96	107	price	price	NOUN
brj-22715	96	108	of	of	ADP
brj-22715	96	109	the	the	DET
brj-22715	96	110	furniture	furniture	NOUN
brj-22715	96	111	(	(	PUNCT
brj-22715	96	112	range	range	NOUN
brj-22715	96	113	,	,	PUNCT
brj-22715	96	114	59	59	NUM
brj-22715	96	115	to	to	PART
brj-22715	96	116	710	710	NUM
brj-22715	96	117	us	us	PROPN
brj-22715	96	118	dollar	dollar	NOUN
brj-22715	96	119	)	)	PUNCT
brj-22715	96	120	data	datum	NOUN
brj-22715	96	121	preprocessing	preprocessing	NOUN
brj-22715	96	122	in	in	ADP
brj-22715	96	123	this	this	DET
brj-22715	96	124	study	study	NOUN
brj-22715	96	125	,	,	PUNCT
brj-22715	96	126	the	the	DET
brj-22715	96	127	normalization	normalization	NOUN
brj-22715	96	128	process	process	NOUN
brj-22715	96	129	was	be	AUX
brj-22715	96	130	applied	apply	VERB
brj-22715	96	131	to	to	ADP
brj-22715	96	132	numerical	numerical	ADJ
brj-22715	96	133	values	value	NOUN
brj-22715	96	134	.	.	PUNCT
brj-22715	97	1	this	this	DET
brj-22715	97	2	process	process	NOUN
brj-22715	97	3	was	be	AUX
brj-22715	97	4	carried	carry	VERB
brj-22715	97	5	out	out	ADP
brj-22715	97	6	to	to	PART
brj-22715	97	7	ensure	ensure	VERB
brj-22715	97	8	the	the	DET
brj-22715	97	9	data	datum	NOUN
brj-22715	97	10	were	be	AUX
brj-22715	97	11	at	at	ADP
brj-22715	97	12	the	the	DET
brj-22715	97	13	same	same	ADJ
brj-22715	97	14	scale	scale	NOUN
brj-22715	97	15	and	and	CCONJ
brj-22715	97	16	distribution	distribution	NOUN
brj-22715	97	17	.	.	PUNCT
brj-22715	98	1	models	model	NOUN
brj-22715	98	2	deep	deep	ADJ
brj-22715	98	3	learning	learning	NOUN
brj-22715	98	4	(	(	PUNCT
brj-22715	98	5	dl	dl	NOUN
brj-22715	98	6	)	)	PUNCT
brj-22715	98	7	and	and	CCONJ
brj-22715	98	8	random	random	ADJ
brj-22715	98	9	forest	forest	NOUN
brj-22715	98	10	(	(	PUNCT
brj-22715	98	11	rf	rf	NOUN
brj-22715	98	12	)	)	PUNCT
brj-22715	98	13	algorithms	algorithm	NOUN
brj-22715	98	14	were	be	AUX
brj-22715	98	15	used	use	VERB
brj-22715	98	16	for	for	ADP
brj-22715	98	17	price	price	NOUN
brj-22715	98	18	estimates	estimate	NOUN
brj-22715	98	19	of	of	ADP
brj-22715	98	20	different	different	ADJ
brj-22715	98	21	types	type	NOUN
brj-22715	98	22	of	of	ADP
brj-22715	98	23	furniture	furniture	NOUN
brj-22715	98	24	.	.	PUNCT
brj-22715	99	1	in	in	ADP
brj-22715	99	2	the	the	DET
brj-22715	99	3	analysis	analysis	NOUN
brj-22715	99	4	,	,	PUNCT
brj-22715	99	5	the	the	DET
brj-22715	99	6	dataset	dataset	NOUN
brj-22715	99	7	was	be	AUX
brj-22715	99	8	divided	divide	VERB
brj-22715	99	9	into	into	ADP
brj-22715	99	10	training	training	NOUN
brj-22715	99	11	and	and	CCONJ
brj-22715	99	12	test	test	NOUN
brj-22715	99	13	datasets	dataset	NOUN
brj-22715	99	14	by	by	ADP
brj-22715	99	15	the	the	DET
brj-22715	99	16	literature	literature	NOUN
brj-22715	99	17	,	,	PUNCT
brj-22715	99	18	and	and	CCONJ
brj-22715	99	19	the	the	DET
brj-22715	99	20	training	training	NOUN
brj-22715	99	21	dataset	dataset	NOUN
brj-22715	99	22	covered	cover	VERB
brj-22715	99	23	70	70	NUM
brj-22715	99	24	%	%	NOUN
brj-22715	99	25	of	of	ADP
brj-22715	99	26	the	the	DET
brj-22715	99	27	total	total	ADJ
brj-22715	99	28	dataset	dataset	NOUN
brj-22715	99	29	.	.	PUNCT
brj-22715	100	1	the	the	DET
brj-22715	100	2	remaining	remain	VERB
brj-22715	100	3	30	30	NUM
brj-22715	100	4	%	%	NOUN
brj-22715	100	5	dataset	dataset	NOUN
brj-22715	100	6	was	be	AUX
brj-22715	100	7	reserved	reserve	VERB
brj-22715	100	8	as	as	ADP
brj-22715	100	9	the	the	DET
brj-22715	100	10	test	test	NOUN
brj-22715	100	11	dataset	dataset	NOUN
brj-22715	100	12	(	(	PUNCT
brj-22715	100	13	velten	velten	VERB
brj-22715	100	14	et	et	PROPN
brj-22715	100	15	al	al	PROPN
brj-22715	100	16	.	.	PROPN
brj-22715	100	17	2000	2000	NUM
brj-22715	100	18	;	;	PUNCT
brj-22715	100	19	furtney	furtney	NOUN
brj-22715	100	20	et	et	PROPN
brj-22715	100	21	al	al	PROPN
brj-22715	100	22	.	.	PROPN
brj-22715	100	23	2022	2022	NUM
brj-22715	100	24	;	;	PUNCT
brj-22715	100	25	saha	saha	PROPN
brj-22715	100	26	et	et	PROPN
brj-22715	100	27	al	al	PROPN
brj-22715	100	28	.	.	PROPN
brj-22715	100	29	2023	2023	NUM
brj-22715	100	30	)	)	PUNCT
brj-22715	100	31	.	.	PUNCT
brj-22715	101	1	peer	peer	NOUN
brj-22715	101	2	-	-	PUNCT
brj-22715	101	3	reviewed	review	VERB
brj-22715	101	4	article	article	NOUN
brj-22715	101	5	bioresources.com	bioresources.com	X
brj-22715	101	6	bardak	bardak	PROPN
brj-22715	101	7	et	et	PROPN
brj-22715	101	8	al	al	PROPN
brj-22715	101	9	.	.	PROPN
brj-22715	101	10	(	(	PUNCT
brj-22715	101	11	2023	2023	NUM
brj-22715	101	12	)	)	PUNCT
brj-22715	101	13	.	.	PUNCT
brj-22715	102	1	“	"	PUNCT
brj-22715	102	2	furniture	furniture	NOUN
brj-22715	102	3	prices	price	NOUN
brj-22715	102	4	by	by	ADP
brj-22715	102	5	web	web	NOUN
brj-22715	102	6	mining	mining	NOUN
brj-22715	102	7	,	,	PUNCT
brj-22715	102	8	”	"	PUNCT
brj-22715	102	9	bioresources	bioresource	NOUN
brj-22715	102	10	18(4	18(4	NUM
brj-22715	102	11	)	)	PUNCT
brj-22715	102	12	,	,	PUNCT
brj-22715	102	13	7412	7412	NUM
brj-22715	102	14	-	-	SYM
brj-22715	102	15	7427	7427	NUM
brj-22715	102	16	.	.	PUNCT
brj-22715	103	1	7416	7416	NUM
brj-22715	103	2	all	all	DET
brj-22715	103	3	models	model	NOUN
brj-22715	103	4	were	be	AUX
brj-22715	103	5	developed	develop	VERB
brj-22715	103	6	with	with	ADP
brj-22715	103	7	rapidminer	rapidminer	NOUN
brj-22715	103	8	studio	studio	NOUN
brj-22715	103	9	version	version	NOUN
brj-22715	103	10	9.3	9.3	NUM
brj-22715	103	11	software	software	NOUN
brj-22715	103	12	(	(	PUNCT
brj-22715	103	13	boston	boston	PROPN
brj-22715	103	14	,	,	PUNCT
brj-22715	103	15	ma	ma	PROPN
brj-22715	103	16	,	,	PUNCT
brj-22715	103	17	usa	usa	PROPN
brj-22715	103	18	)	)	PUNCT
brj-22715	103	19	,	,	PUNCT
brj-22715	103	20	which	which	PRON
brj-22715	103	21	has	have	AUX
brj-22715	103	22	been	be	AUX
brj-22715	103	23	widely	widely	ADV
brj-22715	103	24	used	use	VERB
brj-22715	103	25	in	in	ADP
brj-22715	103	26	many	many	ADJ
brj-22715	103	27	studies	study	NOUN
brj-22715	103	28	(	(	PUNCT
brj-22715	103	29	keet	keet	PROPN
brj-22715	103	30	et	et	PROPN
brj-22715	103	31	al	al	PROPN
brj-22715	103	32	.	.	PROPN
brj-22715	103	33	2015	2015	NUM
brj-22715	103	34	;	;	PUNCT
brj-22715	103	35	bardak	bardak	PROPN
brj-22715	103	36	et	et	PROPN
brj-22715	103	37	al	al	PROPN
brj-22715	103	38	.	.	PROPN
brj-22715	103	39	2021	2021	NUM
brj-22715	103	40	;	;	PUNCT
brj-22715	103	41	mariano	mariano	PROPN
brj-22715	103	42	et	et	PROPN
brj-22715	103	43	al	al	PROPN
brj-22715	103	44	.	.	PROPN
brj-22715	103	45	2022	2022	NUM
brj-22715	103	46	;	;	PUNCT
brj-22715	103	47	naser	naser	NOUN
brj-22715	103	48	2023	2023	NUM
brj-22715	103	49	)	)	PUNCT
brj-22715	103	50	.	.	PUNCT
brj-22715	104	1	figure	figure	NOUN
brj-22715	104	2	1	1	NUM
brj-22715	104	3	illustrates	illustrate	VERB
brj-22715	104	4	the	the	DET
brj-22715	104	5	workflow	workflow	NOUN
brj-22715	104	6	of	of	ADP
brj-22715	104	7	the	the	DET
brj-22715	104	8	process	process	NOUN
brj-22715	104	9	used	use	VERB
brj-22715	104	10	for	for	ADP
brj-22715	104	11	model	model	NOUN
brj-22715	104	12	comparison	comparison	NOUN
brj-22715	104	13	.	.	PUNCT
brj-22715	105	1	fig	fig	NOUN
brj-22715	105	2	.	.	PUNCT
brj-22715	106	1	1	1	X
brj-22715	106	2	.	.	PUNCT
brj-22715	107	1	the	the	DET
brj-22715	107	2	workflow	workflow	NOUN
brj-22715	107	3	of	of	ADP
brj-22715	107	4	the	the	DET
brj-22715	107	5	process	process	NOUN
brj-22715	107	6	used	use	VERB
brj-22715	107	7	for	for	ADP
brj-22715	107	8	model	model	NOUN
brj-22715	107	9	comparison	comparison	NOUN
brj-22715	107	10	in	in	ADP
brj-22715	107	11	bookcase	bookcase	NOUN
brj-22715	107	12	furniture	furniture	NOUN
brj-22715	107	13	the	the	DET
brj-22715	107	14	weights	weight	NOUN
brj-22715	107	15	of	of	ADP
brj-22715	107	16	attributes	attribute	NOUN
brj-22715	107	17	such	such	ADJ
brj-22715	107	18	as	as	ADP
brj-22715	107	19	width	width	ADJ
brj-22715	107	20	,	,	PUNCT
brj-22715	107	21	depth	depth	NOUN
brj-22715	107	22	,	,	PUNCT
brj-22715	107	23	height	height	NOUN
brj-22715	107	24	,	,	PUNCT
brj-22715	107	25	frame	frame	NOUN
brj-22715	107	26	material	material	NOUN
brj-22715	107	27	,	,	PUNCT
brj-22715	107	28	number	number	NOUN
brj-22715	107	29	of	of	ADP
brj-22715	107	30	partitions	partition	NOUN
brj-22715	107	31	,	,	PUNCT
brj-22715	107	32	number	number	NOUN
brj-22715	107	33	of	of	ADP
brj-22715	107	34	drawers	drawer	NOUN
brj-22715	107	35	,	,	PUNCT
brj-22715	107	36	and	and	CCONJ
brj-22715	107	37	color	color	NOUN
brj-22715	107	38	were	be	AUX
brj-22715	107	39	determined	determine	VERB
brj-22715	107	40	using	use	VERB
brj-22715	107	41	the	the	DET
brj-22715	107	42	algorithm	algorithm	NOUN
brj-22715	107	43	rf	rf	NOUN
brj-22715	107	44	,	,	PUNCT
brj-22715	107	45	which	which	PRON
brj-22715	107	46	has	have	VERB
brj-22715	107	47	the	the	DET
brj-22715	107	48	highest	high	ADJ
brj-22715	107	49	level	level	NOUN
brj-22715	107	50	of	of	ADP
brj-22715	107	51	success	success	NOUN
brj-22715	107	52	model	model	NOUN
brj-22715	107	53	evaluation	evaluation	NOUN
brj-22715	107	54	to	to	PART
brj-22715	107	55	evaluate	evaluate	VERB
brj-22715	107	56	the	the	DET
brj-22715	107	57	effectiveness	effectiveness	NOUN
brj-22715	107	58	of	of	ADP
brj-22715	107	59	the	the	DET
brj-22715	107	60	predictions	prediction	NOUN
brj-22715	107	61	made	make	VERB
brj-22715	107	62	by	by	ADP
brj-22715	107	63	different	different	ADJ
brj-22715	107	64	prediction	prediction	NOUN
brj-22715	107	65	models	model	NOUN
brj-22715	107	66	,	,	PUNCT
brj-22715	107	67	previously	previously	ADV
brj-22715	107	68	accepted	accept	VERB
brj-22715	107	69	performance	performance	NOUN
brj-22715	107	70	criteria	criterion	NOUN
brj-22715	107	71	in	in	ADP
brj-22715	107	72	the	the	DET
brj-22715	107	73	literature	literature	NOUN
brj-22715	107	74	were	be	AUX
brj-22715	107	75	used	use	VERB
brj-22715	107	76	.	.	PUNCT
brj-22715	108	1	,	,	PUNCT
brj-22715	108	2	the	the	DET
brj-22715	108	3	goodness	goodness	NOUN
brj-22715	108	4	of	of	ADP
brj-22715	108	5	fit	fit	ADJ
brj-22715	108	6	(	(	PUNCT
brj-22715	108	7	r2	r2	PROPN
brj-22715	108	8	,	,	PUNCT
brj-22715	108	9	eq	eq	NOUN
brj-22715	108	10	.	.	NOUN
brj-22715	108	11	1	1	NUM
brj-22715	108	12	)	)	PUNCT
brj-22715	108	13	and	and	CCONJ
brj-22715	108	14	root	root	NOUN
brj-22715	108	15	mean	mean	ADJ
brj-22715	108	16	square	square	ADJ
brj-22715	108	17	error	error	NOUN
brj-22715	108	18	(	(	PUNCT
brj-22715	108	19	rmse	rmse	NOUN
brj-22715	108	20	,	,	PUNCT
brj-22715	108	21	eq	eq	NOUN
brj-22715	108	22	.	.	NOUN
brj-22715	108	23	2	2	NUM
brj-22715	108	24	)	)	PUNCT
brj-22715	108	25	were	be	AUX
brj-22715	108	26	used	use	VERB
brj-22715	108	27	to	to	PART
brj-22715	108	28	measure	measure	VERB
brj-22715	108	29	the	the	DET
brj-22715	108	30	success	success	NOUN
brj-22715	108	31	of	of	ADP
brj-22715	108	32	predictive	predictive	ADJ
brj-22715	108	33	models	model	NOUN
brj-22715	108	34	objectively	objectively	ADV
brj-22715	108	35	(	(	PUNCT
brj-22715	108	36	razali	razali	PROPN
brj-22715	108	37	and	and	CCONJ
brj-22715	108	38	al	al	PROPN
brj-22715	108	39	-	-	PUNCT
brj-22715	108	40	wakeel	wakeel	PROPN
brj-22715	108	41	2013	2013	NUM
brj-22715	108	42	;	;	PUNCT
brj-22715	108	43	li	li	PROPN
brj-22715	108	44	et	et	PROPN
brj-22715	108	45	al	al	PROPN
brj-22715	108	46	.	.	PROPN
brj-22715	108	47	2019	2019	NUM
brj-22715	108	48	;	;	PUNCT
brj-22715	108	49	agwu	agwu	PROPN
brj-22715	108	50	et	et	PROPN
brj-22715	108	51	al	al	PROPN
brj-22715	108	52	.	.	PROPN
brj-22715	108	53	2020	2020	NUM
brj-22715	108	54	)	)	PUNCT
brj-22715	108	55	,	,	PUNCT
brj-22715	108	56	(	(	PUNCT
brj-22715	108	57	1	1	X
brj-22715	108	58	)	)	PUNCT
brj-22715	108	59	(	(	PUNCT
brj-22715	108	60	2	2	X
brj-22715	108	61	)	)	PUNCT
brj-22715	108	62	where	where	SCONJ
brj-22715	108	63	𝑌𝑖	𝑌𝑖	PROPN
brj-22715	108	64	and	and	CCONJ
brj-22715	108	65	�	�	PROPN
brj-22715	108	66	̂	̂	VERB
brj-22715	108	67	�	�	NOUN
brj-22715	108	68	𝑖	𝑖	NOUN
brj-22715	108	69	are	be	AUX
brj-22715	108	70	the	the	DET
brj-22715	108	71	measured	measure	VERB
brj-22715	108	72	and	and	CCONJ
brj-22715	108	73	predicted	predict	VERB
brj-22715	108	74	values	value	NOUN
brj-22715	108	75	,	,	PUNCT
brj-22715	108	76	respectively	respectively	ADV
brj-22715	108	77	and	and	CCONJ
brj-22715	108	78	n	n	PRON
brj-22715	108	79	represents	represent	VERB
brj-22715	108	80	the	the	DET
brj-22715	108	81	total	total	ADJ
brj-22715	108	82	number	number	NOUN
brj-22715	108	83	of	of	ADP
brj-22715	108	84	samples	sample	NOUN
brj-22715	108	85	(	(	PUNCT
brj-22715	108	86	pervez	pervez	NOUN
brj-22715	108	87	et	et	PROPN
brj-22715	108	88	al	al	PROPN
brj-22715	108	89	.	.	PROPN
brj-22715	108	90	2023	2023	NUM
brj-22715	108	91	)	)	PUNCT
brj-22715	108	92	.	.	PUNCT
brj-22715	109	1	peer	peer	NOUN
brj-22715	109	2	-	-	PUNCT
brj-22715	109	3	reviewed	review	VERB
brj-22715	109	4	article	article	NOUN
brj-22715	109	5	bioresources.com	bioresources.com	X
brj-22715	109	6	bardak	bardak	PROPN
brj-22715	109	7	et	et	PROPN
brj-22715	109	8	al	al	PROPN
brj-22715	109	9	.	.	PROPN
brj-22715	109	10	(	(	PUNCT
brj-22715	109	11	2023	2023	NUM
brj-22715	109	12	)	)	PUNCT
brj-22715	109	13	.	.	PUNCT
brj-22715	110	1	“	"	PUNCT
brj-22715	110	2	furniture	furniture	NOUN
brj-22715	110	3	prices	price	NOUN
brj-22715	110	4	by	by	ADP
brj-22715	110	5	web	web	NOUN
brj-22715	110	6	mining	mining	NOUN
brj-22715	110	7	,	,	PUNCT
brj-22715	110	8	”	"	PUNCT
brj-22715	110	9	bioresources	bioresource	NOUN
brj-22715	110	10	18(4	18(4	NUM
brj-22715	110	11	)	)	PUNCT
brj-22715	110	12	,	,	PUNCT
brj-22715	110	13	7412	7412	NUM
brj-22715	110	14	-	-	SYM
brj-22715	110	15	7427	7427	NUM
brj-22715	110	16	.	.	PUNCT
brj-22715	111	1	7417	7417	NUM
brj-22715	111	2	optimization	optimization	NOUN
brj-22715	111	3	of	of	ADP
brj-22715	111	4	the	the	DET
brj-22715	111	5	parameters	parameter	NOUN
brj-22715	111	6	of	of	ADP
brj-22715	111	7	the	the	DET
brj-22715	111	8	models	model	NOUN
brj-22715	111	9	in	in	ADP
brj-22715	111	10	pursuing	pursue	VERB
brj-22715	111	11	optimal	optimal	ADJ
brj-22715	111	12	prediction	prediction	NOUN
brj-22715	111	13	performance	performance	NOUN
brj-22715	111	14	,	,	PUNCT
brj-22715	111	15	adjusting	adjust	VERB
brj-22715	111	16	various	various	ADJ
brj-22715	111	17	parameters	parameter	NOUN
brj-22715	111	18	with	with	ADP
brj-22715	111	19	precision	precision	NOUN
brj-22715	111	20	is	be	AUX
brj-22715	111	21	essential	essential	ADJ
brj-22715	111	22	.	.	PUNCT
brj-22715	112	1	to	to	ADP
brj-22715	112	2	this	this	DET
brj-22715	112	3	end	end	NOUN
brj-22715	112	4	,	,	PUNCT
brj-22715	112	5	the	the	DET
brj-22715	112	6	grid	grid	NOUN
brj-22715	112	7	operator	operator	NOUN
brj-22715	112	8	is	be	AUX
brj-22715	112	9	a	a	DET
brj-22715	112	10	useful	useful	ADJ
brj-22715	112	11	tool	tool	NOUN
brj-22715	112	12	for	for	ADP
brj-22715	112	13	parameter	parameter	NOUN
brj-22715	112	14	optimization	optimization	NOUN
brj-22715	112	15	within	within	ADP
brj-22715	112	16	the	the	DET
brj-22715	112	17	rapidminer	rapidminer	NOUN
brj-22715	112	18	software	software	NOUN
brj-22715	112	19	platform	platform	NOUN
brj-22715	112	20	.	.	PUNCT
brj-22715	113	1	this	this	DET
brj-22715	113	2	approach	approach	NOUN
brj-22715	113	3	enables	enable	VERB
brj-22715	113	4	identifying	identify	VERB
brj-22715	113	5	and	and	CCONJ
brj-22715	113	6	selecting	select	VERB
brj-22715	113	7	optimal	optimal	ADJ
brj-22715	113	8	parameters	parameter	NOUN
brj-22715	113	9	for	for	ADP
brj-22715	113	10	model	model	NOUN
brj-22715	113	11	,	,	PUNCT
brj-22715	113	12	thereby	thereby	ADV
brj-22715	113	13	contributing	contribute	VERB
brj-22715	113	14	to	to	ADP
brj-22715	113	15	enhanced	enhance	VERB
brj-22715	113	16	efficiency	efficiency	NOUN
brj-22715	113	17	and	and	CCONJ
brj-22715	113	18	accuracy	accuracy	NOUN
brj-22715	113	19	in	in	ADP
brj-22715	113	20	machine	machine	NOUN
brj-22715	113	21	learning	learning	NOUN
brj-22715	113	22	and	and	CCONJ
brj-22715	113	23	other	other	ADJ
brj-22715	113	24	algorithmic	algorithmic	ADJ
brj-22715	113	25	applications	application	NOUN
brj-22715	113	26	.	.	PUNCT
brj-22715	114	1	to	to	PART
brj-22715	114	2	determine	determine	VERB
brj-22715	114	3	the	the	DET
brj-22715	114	4	optimal	optimal	ADJ
brj-22715	114	5	parameters	parameter	NOUN
brj-22715	114	6	,	,	PUNCT
brj-22715	114	7	the	the	DET
brj-22715	114	8	(	(	PUNCT
brj-22715	114	9	grid	grid	NOUN
brj-22715	114	10	)	)	PUNCT
brj-22715	114	11	operator	operator	NOUN
brj-22715	114	12	was	be	AUX
brj-22715	114	13	employed	employ	VERB
brj-22715	114	14	.	.	PUNCT
brj-22715	115	1	the	the	DET
brj-22715	115	2	workflow	workflow	NOUN
brj-22715	115	3	prepared	prepare	VERB
brj-22715	115	4	to	to	PART
brj-22715	115	5	determine	determine	VERB
brj-22715	115	6	the	the	DET
brj-22715	115	7	optimum	optimum	ADJ
brj-22715	115	8	parameters	parameter	NOUN
brj-22715	115	9	is	be	AUX
brj-22715	115	10	shown	show	VERB
brj-22715	115	11	in	in	ADP
brj-22715	115	12	fig	fig	NOUN
brj-22715	115	13	.	.	PUNCT
brj-22715	116	1	2	2	X
brj-22715	116	2	.	.	X
brj-22715	116	3	fig	fig	NOUN
brj-22715	116	4	.	.	PUNCT
brj-22715	117	1	2	2	X
brj-22715	117	2	.	.	X
brj-22715	117	3	the	the	DET
brj-22715	117	4	workflow	workflow	NOUN
brj-22715	117	5	prepared	prepare	VERB
brj-22715	117	6	to	to	PART
brj-22715	117	7	determine	determine	VERB
brj-22715	117	8	the	the	DET
brj-22715	117	9	optimum	optimum	ADJ
brj-22715	117	10	parameters	parameter	NOUN
brj-22715	117	11	to	to	PART
brj-22715	117	12	optimize	optimize	VERB
brj-22715	117	13	model	model	NOUN
brj-22715	117	14	performance	performance	NOUN
brj-22715	117	15	,	,	PUNCT
brj-22715	117	16	significant	significant	ADJ
brj-22715	117	17	parameters	parameter	NOUN
brj-22715	117	18	in	in	ADP
brj-22715	117	19	dl	dl	PROPN
brj-22715	117	20	and	and	CCONJ
brj-22715	117	21	rf	rf	PROPN
brj-22715	117	22	algorithms	algorithm	NOUN
brj-22715	117	23	were	be	AUX
brj-22715	117	24	adjusted	adjust	VERB
brj-22715	117	25	.	.	PUNCT
brj-22715	118	1	in	in	ADP
brj-22715	118	2	the	the	DET
brj-22715	118	3	dl	dl	PROPN
brj-22715	118	4	algorithm	algorithm	PROPN
brj-22715	118	5	,	,	PUNCT
brj-22715	118	6	parameters	parameter	NOUN
brj-22715	118	7	such	such	ADJ
brj-22715	118	8	as	as	ADP
brj-22715	118	9	hidden	hidden	ADJ
brj-22715	118	10	layer	layer	NOUN
brj-22715	118	11	sizes	size	NOUN
brj-22715	118	12	and	and	CCONJ
brj-22715	118	13	train	train	NOUN
brj-22715	118	14	samples	sample	NOUN
brj-22715	118	15	per	per	ADP
brj-22715	118	16	iteration	iteration	NOUN
brj-22715	118	17	were	be	AUX
brj-22715	118	18	selected	select	VERB
brj-22715	118	19	.	.	PUNCT
brj-22715	119	1	hidden	hide	VERB
brj-22715	119	2	layer	layer	NOUN
brj-22715	119	3	sizes	size	NOUN
brj-22715	119	4	determine	determine	VERB
brj-22715	119	5	the	the	DET
brj-22715	119	6	number	number	NOUN
brj-22715	119	7	of	of	ADP
brj-22715	119	8	hidden	hidden	ADJ
brj-22715	119	9	layers	layer	NOUN
brj-22715	119	10	and	and	CCONJ
brj-22715	119	11	neurons	neuron	NOUN
brj-22715	119	12	in	in	ADP
brj-22715	119	13	the	the	DET
brj-22715	119	14	model	model	NOUN
brj-22715	119	15	.	.	PUNCT
brj-22715	120	1	for	for	ADP
brj-22715	120	2	example	example	NOUN
brj-22715	120	3	,	,	PUNCT
brj-22715	120	4	specifying	specify	VERB
brj-22715	120	5	“	"	PUNCT
brj-22715	120	6	100,200,100	100,200,100	NUM
brj-22715	120	7	”	"	PUNCT
brj-22715	120	8	would	would	AUX
brj-22715	120	9	create	create	VERB
brj-22715	120	10	a	a	DET
brj-22715	120	11	model	model	NOUN
brj-22715	120	12	with	with	ADP
brj-22715	120	13	3	3	NUM
brj-22715	120	14	hidden	hidden	ADJ
brj-22715	120	15	layers	layer	NOUN
brj-22715	120	16	,	,	PUNCT
brj-22715	120	17	and	and	CCONJ
brj-22715	120	18	the	the	DET
brj-22715	120	19	middle	middle	ADJ
brj-22715	120	20	-	-	PUNCT
brj-22715	120	21	hidden	hide	VERB
brj-22715	120	22	layer	layer	NOUN
brj-22715	120	23	would	would	AUX
brj-22715	120	24	have	have	VERB
brj-22715	120	25	200	200	NUM
brj-22715	120	26	neurons	neuron	NOUN
brj-22715	120	27	.	.	PUNCT
brj-22715	121	1	this	this	PRON
brj-22715	121	2	determines	determine	VERB
brj-22715	121	3	the	the	DET
brj-22715	121	4	amount	amount	NOUN
brj-22715	121	5	of	of	ADP
brj-22715	121	6	training	training	NOUN
brj-22715	121	7	data	datum	NOUN
brj-22715	121	8	that	that	PRON
brj-22715	121	9	is	be	AUX
brj-22715	121	10	processed	process	VERB
brj-22715	121	11	in	in	ADP
brj-22715	121	12	each	each	DET
brj-22715	121	13	iteration	iteration	NOUN
brj-22715	121	14	.	.	PUNCT
brj-22715	122	1	this	this	DET
brj-22715	122	2	parameter	parameter	NOUN
brj-22715	122	3	determines	determine	VERB
brj-22715	122	4	the	the	DET
brj-22715	122	5	rate	rate	NOUN
brj-22715	122	6	at	at	ADP
brj-22715	122	7	which	which	PRON
brj-22715	122	8	scoring	scoring	NOUN
brj-22715	122	9	and	and	CCONJ
brj-22715	122	10	model	model	NOUN
brj-22715	122	11	cancellation	cancellation	NOUN
brj-22715	122	12	can	can	AUX
brj-22715	122	13	occur	occur	VERB
brj-22715	122	14	.	.	PUNCT
brj-22715	123	1	in	in	ADP
brj-22715	123	2	the	the	DET
brj-22715	123	3	rf	rf	ADJ
brj-22715	123	4	algorithm	algorithm	NOUN
brj-22715	123	5	,	,	PUNCT
brj-22715	123	6	parameters	parameter	NOUN
brj-22715	123	7	such	such	ADJ
brj-22715	123	8	as	as	ADP
brj-22715	123	9	the	the	DET
brj-22715	123	10	number	number	NOUN
brj-22715	123	11	of	of	ADP
brj-22715	123	12	trees	tree	NOUN
brj-22715	123	13	and	and	CCONJ
brj-22715	123	14	maximum	maximum	ADJ
brj-22715	123	15	depth	depth	NOUN
brj-22715	123	16	were	be	AUX
brj-22715	123	17	chosen	choose	VERB
brj-22715	123	18	.	.	PUNCT
brj-22715	124	1	the	the	DET
brj-22715	124	2	number	number	NOUN
brj-22715	124	3	of	of	ADP
brj-22715	124	4	trees	tree	NOUN
brj-22715	124	5	specifies	specify	VERB
brj-22715	124	6	the	the	DET
brj-22715	124	7	count	count	NOUN
brj-22715	124	8	of	of	ADP
brj-22715	124	9	random	random	ADJ
brj-22715	124	10	trees	tree	NOUN
brj-22715	124	11	to	to	PART
brj-22715	124	12	be	be	AUX
brj-22715	124	13	generated	generate	VERB
brj-22715	124	14	.	.	PUNCT
brj-22715	125	1	for	for	ADP
brj-22715	125	2	each	each	DET
brj-22715	125	3	tree	tree	NOUN
brj-22715	125	4	,	,	PUNCT
brj-22715	125	5	a	a	DET
brj-22715	125	6	subset	subset	NOUN
brj-22715	125	7	of	of	ADP
brj-22715	125	8	the	the	DET
brj-22715	125	9	example	example	NOUN
brj-22715	125	10	set	set	NOUN
brj-22715	125	11	is	be	AUX
brj-22715	125	12	chosen	choose	VERB
brj-22715	125	13	through	through	ADP
brj-22715	125	14	bootstrapping	bootstrappe	VERB
brj-22715	125	15	.	.	PUNCT
brj-22715	126	1	maximum	maximum	ADJ
brj-22715	126	2	depth	depth	NOUN
brj-22715	126	3	is	be	AUX
brj-22715	126	4	used	use	VERB
brj-22715	126	5	to	to	PART
brj-22715	126	6	limit	limit	VERB
brj-22715	126	7	the	the	DET
brj-22715	126	8	depth	depth	NOUN
brj-22715	126	9	of	of	ADP
brj-22715	126	10	each	each	DET
brj-22715	126	11	random	random	ADJ
brj-22715	126	12	tree	tree	NOUN
brj-22715	126	13	.	.	PUNCT
brj-22715	127	1	the	the	DET
brj-22715	127	2	values	value	NOUN
brj-22715	127	3	of	of	ADP
brj-22715	127	4	these	these	DET
brj-22715	127	5	parameters	parameter	NOUN
brj-22715	127	6	can	can	AUX
brj-22715	127	7	vary	vary	VERB
brj-22715	127	8	based	base	VERB
brj-22715	127	9	on	on	ADP
brj-22715	127	10	the	the	DET
brj-22715	127	11	size	size	NOUN
brj-22715	127	12	and	and	CCONJ
brj-22715	127	13	characteristics	characteristic	NOUN
brj-22715	127	14	of	of	ADP
brj-22715	127	15	the	the	DET
brj-22715	127	16	dataset	dataset	NOUN
brj-22715	127	17	(	(	PUNCT
brj-22715	127	18	rapidminer	rapidminer	NOUN
brj-22715	127	19	2023	2023	NUM
brj-22715	127	20	)	)	PUNCT
brj-22715	127	21	.	.	PUNCT
brj-22715	128	1	the	the	DET
brj-22715	128	2	optimal	optimal	ADJ
brj-22715	128	3	parameters	parameter	NOUN
brj-22715	128	4	for	for	ADP
brj-22715	128	5	each	each	DET
brj-22715	128	6	model	model	NOUN
brj-22715	128	7	and	and	CCONJ
brj-22715	128	8	furniture	furniture	NOUN
brj-22715	128	9	type	type	NOUN
brj-22715	128	10	were	be	AUX
brj-22715	128	11	determined	determine	VERB
brj-22715	128	12	separately	separately	ADV
brj-22715	128	13	and	and	CCONJ
brj-22715	128	14	are	be	AUX
brj-22715	128	15	presented	present	VERB
brj-22715	128	16	in	in	ADP
brj-22715	128	17	tables	table	NOUN
brj-22715	128	18	3	3	NUM
brj-22715	128	19	and	and	CCONJ
brj-22715	128	20	4	4	NUM
brj-22715	128	21	.	.	X
brj-22715	129	1	for	for	ADP
brj-22715	129	2	the	the	DET
brj-22715	129	3	dt	dt	PROPN
brj-22715	129	4	model	model	PROPN
brj-22715	129	5	,	,	PUNCT
brj-22715	129	6	the	the	DET
brj-22715	129	7	optimal	optimal	ADJ
brj-22715	129	8	parameters	parameter	NOUN
brj-22715	129	9	for	for	ADP
brj-22715	129	10	achieving	achieve	VERB
brj-22715	129	11	the	the	DET
brj-22715	129	12	highest	high	ADJ
brj-22715	129	13	level	level	NOUN
brj-22715	129	14	of	of	ADP
brj-22715	129	15	performance	performance	NOUN
brj-22715	129	16	for	for	ADP
brj-22715	129	17	bookcase	bookcase	NOUN
brj-22715	129	18	furniture	furniture	NOUN
brj-22715	129	19	were	be	AUX
brj-22715	129	20	90	90	NUM
brj-22715	129	21	the	the	DET
brj-22715	129	22	hidden	hide	VERB
brj-22715	129	23	layer	layer	NOUN
brj-22715	129	24	sizes	size	NOUN
brj-22715	129	25	and	and	CCONJ
brj-22715	129	26	-2	-2	NOUN
brj-22715	129	27	train	train	NOUN
brj-22715	129	28	samples	sample	NOUN
brj-22715	129	29	per	per	ADP
brj-22715	129	30	iteration	iteration	NOUN
brj-22715	129	31	.	.	PUNCT
brj-22715	130	1	the	the	DET
brj-22715	130	2	most	most	ADV
brj-22715	130	3	suitable	suitable	ADJ
brj-22715	130	4	parameters	parameter	NOUN
brj-22715	130	5	for	for	ADP
brj-22715	130	6	achieving	achieve	VERB
brj-22715	130	7	effective	effective	ADJ
brj-22715	130	8	results	result	NOUN
brj-22715	130	9	for	for	ADP
brj-22715	130	10	dresser	dresser	NOUN
brj-22715	130	11	furniture	furniture	NOUN
brj-22715	130	12	type	type	NOUN
brj-22715	130	13	were	be	AUX
brj-22715	130	14	90	90	NUM
brj-22715	130	15	hidden	hidden	ADJ
brj-22715	130	16	layer	layer	NOUN
brj-22715	130	17	sizes	size	NOUN
brj-22715	130	18	and	and	CCONJ
brj-22715	130	19	-2	-2	NOUN
brj-22715	130	20	train	train	NOUN
brj-22715	130	21	samples	sample	NOUN
brj-22715	130	22	per	per	ADP
brj-22715	130	23	iteration	iteration	NOUN
brj-22715	130	24	.	.	PUNCT
brj-22715	131	1	as	as	SCONJ
brj-22715	131	2	for	for	ADP
brj-22715	131	3	the	the	DET
brj-22715	131	4	rf	rf	ADJ
brj-22715	131	5	model	model	NOUN
brj-22715	131	6	,	,	PUNCT
brj-22715	131	7	to	to	PART
brj-22715	131	8	attain	attain	VERB
brj-22715	131	9	the	the	DET
brj-22715	131	10	best	good	ADJ
brj-22715	131	11	performance	performance	NOUN
brj-22715	131	12	for	for	ADP
brj-22715	131	13	bookcase	bookcase	NOUN
brj-22715	131	14	furniture	furniture	NOUN
brj-22715	131	15	,	,	PUNCT
brj-22715	131	16	the	the	DET
brj-22715	131	17	number	number	NOUN
brj-22715	131	18	of	of	ADP
brj-22715	131	19	trees	tree	NOUN
brj-22715	131	20	was	be	AUX
brj-22715	131	21	set	set	VERB
brj-22715	131	22	to	to	ADP
brj-22715	131	23	20	20	NUM
brj-22715	131	24	and	and	CCONJ
brj-22715	131	25	maximal	maximal	ADJ
brj-22715	131	26	depth	depth	NOUN
brj-22715	131	27	to	to	ADP
brj-22715	131	28	7	7	NUM
brj-22715	131	29	.	.	PUNCT
brj-22715	132	1	on	on	ADP
brj-22715	132	2	the	the	DET
brj-22715	132	3	other	other	ADJ
brj-22715	132	4	hand	hand	NOUN
brj-22715	132	5	,	,	PUNCT
brj-22715	132	6	for	for	ADP
brj-22715	132	7	dresser	dresser	NOUN
brj-22715	132	8	furniture	furniture	NOUN
brj-22715	132	9	,	,	PUNCT
brj-22715	132	10	the	the	DET
brj-22715	132	11	number	number	NOUN
brj-22715	132	12	of	of	ADP
brj-22715	132	13	trees	tree	NOUN
brj-22715	132	14	was	be	AUX
brj-22715	132	15	set	set	VERB
brj-22715	132	16	as	as	ADP
brj-22715	132	17	20	20	NUM
brj-22715	132	18	and	and	CCONJ
brj-22715	132	19	the	the	DET
brj-22715	132	20	maximal	maximal	ADJ
brj-22715	132	21	depth	depth	NOUN
brj-22715	132	22	was	be	AUX
brj-22715	132	23	set	set	VERB
brj-22715	132	24	as	as	ADP
brj-22715	132	25	7	7	NUM
brj-22715	132	26	to	to	PART
brj-22715	132	27	obtain	obtain	VERB
brj-22715	132	28	optimal	optimal	ADJ
brj-22715	132	29	outcomes	outcome	NOUN
brj-22715	132	30	.	.	PUNCT
brj-22715	133	1	peer	peer	NOUN
brj-22715	133	2	-	-	PUNCT
brj-22715	133	3	reviewed	review	VERB
brj-22715	133	4	article	article	NOUN
brj-22715	133	5	bioresources.com	bioresources.com	X
brj-22715	133	6	bardak	bardak	PROPN
brj-22715	133	7	et	et	PROPN
brj-22715	133	8	al	al	PROPN
brj-22715	133	9	.	.	PROPN
brj-22715	133	10	(	(	PUNCT
brj-22715	133	11	2023	2023	NUM
brj-22715	133	12	)	)	PUNCT
brj-22715	133	13	.	.	PUNCT
brj-22715	134	1	“	"	PUNCT
brj-22715	134	2	furniture	furniture	NOUN
brj-22715	134	3	prices	price	NOUN
brj-22715	134	4	by	by	ADP
brj-22715	134	5	web	web	NOUN
brj-22715	134	6	mining	mining	NOUN
brj-22715	134	7	,	,	PUNCT
brj-22715	134	8	”	"	PUNCT
brj-22715	134	9	bioresources	bioresource	NOUN
brj-22715	134	10	18(4	18(4	NUM
brj-22715	134	11	)	)	PUNCT
brj-22715	134	12	,	,	PUNCT
brj-22715	134	13	7412	7412	NUM
brj-22715	134	14	-	-	SYM
brj-22715	134	15	7427	7427	NUM
brj-22715	134	16	.	.	PUNCT
brj-22715	135	1	7418	7418	NUM
brj-22715	135	2	table	table	NOUN
brj-22715	135	3	3	3	NUM
brj-22715	135	4	.	.	X
brj-22715	135	5	optimal	optimal	ADJ
brj-22715	135	6	model	model	NOUN
brj-22715	135	7	parameters	parameter	NOUN
brj-22715	135	8	for	for	ADP
brj-22715	135	9	dl	dl	PROPN
brj-22715	135	10	algorithm	algorithm	PROPN
brj-22715	135	11	bookcase	bookcase	NOUN
brj-22715	135	12	furniture	furniture	NOUN
brj-22715	135	13	dresser	dresser	NOUN
brj-22715	135	14	furniture	furniture	NOUN
brj-22715	135	15	hidden	hide	VERB
brj-22715	135	16	layer	layer	NOUN
brj-22715	135	17	sizes	size	NOUN
brj-22715	135	18	train	train	VERB
brj-22715	135	19	samples	sample	NOUN
brj-22715	135	20	per	per	ADP
brj-22715	135	21	iteration	iteration	NOUN
brj-22715	135	22	rmse	rmse	NOUN
brj-22715	135	23	hidden	hide	VERB
brj-22715	135	24	layer	layer	NOUN
brj-22715	135	25	sizes	size	NOUN
brj-22715	135	26	train	train	VERB
brj-22715	135	27	samples	sample	NOUN
brj-22715	135	28	per	per	ADP
brj-22715	135	29	iteration	iteration	NOUN
brj-22715	135	30	rmse	rmse	NOUN
brj-22715	135	31	30	30	NUM
brj-22715	135	32	-2	-2	NOUN
brj-22715	135	33	31.320	31.320	NUM
brj-22715	135	34	30	30	NUM
brj-22715	135	35	-2	-2	NOUN
brj-22715	135	36	65.944	65.944	NUM
brj-22715	135	37	60	60	NUM
brj-22715	135	38	-2	-2	NOUN
brj-22715	135	39	31.658	31.658	NUM
brj-22715	135	40	60	60	NUM
brj-22715	135	41	-2	-2	NOUN
brj-22715	135	42	67.446	67.446	NUM
brj-22715	135	43	90	90	NUM
brj-22715	135	44	-2	-2	NOUN
brj-22715	135	45	31.080	31.080	NUM
brj-22715	135	46	90	90	NUM
brj-22715	135	47	-2	-2	NOUN
brj-22715	135	48	60.190	60.190	NUM
brj-22715	135	49	120	120	NUM
brj-22715	135	50	-2	-2	NOUN
brj-22715	135	51	31.839	31.839	NUM
brj-22715	135	52	120	120	NUM
brj-22715	135	53	-2	-2	NOUN
brj-22715	135	54	62.988	62.988	NUM
brj-22715	135	55	150	150	NUM
brj-22715	135	56	-2	-2	NOUN
brj-22715	135	57	32.282	32.282	NUM
brj-22715	135	58	150	150	NUM
brj-22715	135	59	-2	-2	NOUN
brj-22715	135	60	62.998	62.998	NUM
brj-22715	135	61	30	30	NUM
brj-22715	135	62	-1	-1	SYM
brj-22715	135	63	31.320	31.320	NUM
brj-22715	135	64	30	30	NUM
brj-22715	135	65	-1	-1	SYM
brj-22715	135	66	65.944	65.944	NUM
brj-22715	135	67	60	60	NUM
brj-22715	135	68	-1	-1	SYM
brj-22715	135	69	31.658	31.658	NUM
brj-22715	135	70	60	60	NUM
brj-22715	135	71	-1	-1	SYM
brj-22715	135	72	67.446	67.446	NUM
brj-22715	135	73	90	90	NUM
brj-22715	135	74	-1	-1	SYM
brj-22715	135	75	31.080	31.080	NUM
brj-22715	135	76	90	90	NUM
brj-22715	135	77	-1	-1	SYM
brj-22715	135	78	60.190	60.190	NUM
brj-22715	135	79	120	120	NUM
brj-22715	135	80	-1	-1	SYM
brj-22715	135	81	31.839	31.839	NUM
brj-22715	135	82	120	120	NUM
brj-22715	135	83	-1	-1	SYM
brj-22715	135	84	62.988	62.988	NUM
brj-22715	135	85	150	150	NUM
brj-22715	135	86	-1	-1	SYM
brj-22715	135	87	32.282	32.282	NUM
brj-22715	135	88	150	150	NUM
brj-22715	135	89	-1	-1	SYM
brj-22715	135	90	62.443	62.443	NUM
brj-22715	135	91	30	30	NUM
brj-22715	135	92	0	0	NUM
brj-22715	135	93	31.320	31.320	NUM
brj-22715	135	94	30	30	NUM
brj-22715	135	95	0	0	NUM
brj-22715	135	96	65.944	65.944	NUM
brj-22715	135	97	60	60	NUM
brj-22715	135	98	0	0	NUM
brj-22715	135	99	31.658	31.658	NUM
brj-22715	135	100	60	60	NUM
brj-22715	135	101	0	0	NUM
brj-22715	136	1	67.446	67.446	NUM
brj-22715	136	2	90	90	NUM
brj-22715	136	3	0	0	NUM
brj-22715	136	4	31.080	31.080	NUM
brj-22715	136	5	90	90	NUM
brj-22715	136	6	0	0	NUM
brj-22715	136	7	60.190	60.190	NUM
brj-22715	136	8	120	120	NUM
brj-22715	136	9	0	0	NUM
brj-22715	136	10	31.839	31.839	NUM
brj-22715	136	11	120	120	NUM
brj-22715	136	12	0	0	NUM
brj-22715	136	13	62.988	62.988	NUM
brj-22715	136	14	150	150	NUM
brj-22715	136	15	0	0	NUM
brj-22715	136	16	32.282	32.282	NUM
brj-22715	136	17	150	150	NUM
brj-22715	136	18	0	0	NUM
brj-22715	136	19	62.443	62.443	NUM
brj-22715	136	20	30	30	NUM
brj-22715	136	21	1	1	NUM
brj-22715	136	22	48.557	48.557	NUM
brj-22715	136	23	30	30	NUM
brj-22715	136	24	1	1	NUM
brj-22715	136	25	102.593	102.593	NUM
brj-22715	136	26	60	60	NUM
brj-22715	136	27	1	1	NUM
brj-22715	136	28	49.647	49.647	NUM
brj-22715	136	29	60	60	NUM
brj-22715	136	30	1	1	NUM
brj-22715	136	31	130.332	130.332	NUM
brj-22715	136	32	90	90	NUM
brj-22715	136	33	1	1	NUM
brj-22715	136	34	52.129	52.129	NUM
brj-22715	136	35	90	90	NUM
brj-22715	136	36	1	1	NUM
brj-22715	136	37	102.279	102.279	NUM
brj-22715	136	38	120	120	NUM
brj-22715	136	39	1	1	NUM
brj-22715	136	40	60.789	60.789	NUM
brj-22715	136	41	120	120	NUM
brj-22715	136	42	1	1	NUM
brj-22715	136	43	113.562	113.562	NUM
brj-22715	136	44	150	150	NUM
brj-22715	136	45	1	1	NUM
brj-22715	136	46	38.001	38.001	NUM
brj-22715	136	47	150	150	NUM
brj-22715	136	48	1	1	NUM
brj-22715	136	49	69.170	69.170	NUM
brj-22715	136	50	table	table	NOUN
brj-22715	136	51	4	4	NUM
brj-22715	136	52	.	.	X
brj-22715	136	53	optimal	optimal	ADJ
brj-22715	136	54	model	model	NOUN
brj-22715	136	55	parameters	parameter	NOUN
brj-22715	136	56	for	for	ADP
brj-22715	136	57	rf	rf	NOUN
brj-22715	136	58	algorithm	algorithm	NOUN
brj-22715	136	59	bookcase	bookcase	NOUN
brj-22715	136	60	furniture	furniture	NOUN
brj-22715	136	61	dresser	dresser	NOUN
brj-22715	136	62	furniture	furniture	NOUN
brj-22715	136	63	number	number	NOUN
brj-22715	136	64	of	of	ADP
brj-22715	136	65	trees	tree	NOUN
brj-22715	136	66	maximal	maximal	ADJ
brj-22715	136	67	depth	depth	NOUN
brj-22715	136	68	rmse	rmse	NOUN
brj-22715	136	69	number	number	NOUN
brj-22715	136	70	of	of	ADP
brj-22715	136	71	trees	tree	NOUN
brj-22715	136	72	maximal	maximal	ADJ
brj-22715	136	73	depth	depth	NOUN
brj-22715	136	74	rmse	rmse	NOUN
brj-22715	136	75	20	20	NUM
brj-22715	136	76	2	2	NUM
brj-22715	136	77	50,072	50,072	NUM
brj-22715	136	78	20	20	NUM
brj-22715	136	79	2	2	NUM
brj-22715	136	80	121,532	121,532	NUM
brj-22715	136	81	60	60	NUM
brj-22715	136	82	2	2	NUM
brj-22715	136	83	48,285	48,285	NUM
brj-22715	136	84	60	60	NUM
brj-22715	136	85	2	2	NUM
brj-22715	136	86	116,297	116,297	NUM
brj-22715	136	87	100	100	NUM
brj-22715	136	88	2	2	NUM
brj-22715	136	89	48,196	48,196	NUM
brj-22715	136	90	100	100	NUM
brj-22715	136	91	2	2	NUM
brj-22715	136	92	115,127	115,127	NUM
brj-22715	136	93	140	140	NUM
brj-22715	136	94	2	2	NUM
brj-22715	136	95	48,171	48,171	NUM
brj-22715	136	96	140	140	NUM
brj-22715	136	97	2	2	NUM
brj-22715	136	98	114,084	114,084	NUM
brj-22715	136	99	20	20	NUM
brj-22715	136	100	4	4	NUM
brj-22715	136	101	32,105	32,105	NUM
brj-22715	136	102	20	20	NUM
brj-22715	136	103	4	4	NUM
brj-22715	136	104	69,321	69,321	NUM
brj-22715	136	105	60	60	NUM
brj-22715	136	106	4	4	NUM
brj-22715	136	107	29,278	29,278	NUM
brj-22715	136	108	60	60	NUM
brj-22715	136	109	4	4	NUM
brj-22715	136	110	72,455	72,455	NUM
brj-22715	136	111	100	100	NUM
brj-22715	136	112	4	4	NUM
brj-22715	136	113	29,020	29,020	NUM
brj-22715	136	114	100	100	NUM
brj-22715	136	115	4	4	NUM
brj-22715	136	116	69,691	69,691	NUM
brj-22715	136	117	140	140	NUM
brj-22715	136	118	4	4	NUM
brj-22715	136	119	28,680	28,680	NUM
brj-22715	136	120	140	140	NUM
brj-22715	136	121	4	4	NUM
brj-22715	136	122	68,869	68,869	NUM
brj-22715	136	123	20	20	NUM
brj-22715	136	124	7	7	NUM
brj-22715	136	125	21,845	21,845	NUM
brj-22715	136	126	20	20	NUM
brj-22715	136	127	7	7	NUM
brj-22715	136	128	51,715	51,715	NUM
brj-22715	136	129	60	60	NUM
brj-22715	136	130	7	7	NUM
brj-22715	136	131	21,875	21,875	NUM
brj-22715	136	132	60	60	NUM
brj-22715	136	133	7	7	NUM
brj-22715	136	134	53,186	53,186	NUM
brj-22715	136	135	100	100	NUM
brj-22715	136	136	7	7	NUM
brj-22715	136	137	21,899	21,899	NUM
brj-22715	136	138	100	100	NUM
brj-22715	136	139	7	7	NUM
brj-22715	136	140	53,792	53,792	NUM
brj-22715	136	141	140	140	NUM
brj-22715	136	142	7	7	NUM
brj-22715	136	143	22,910	22,910	NUM
brj-22715	136	144	140	140	NUM
brj-22715	136	145	7	7	NUM
brj-22715	136	146	54,938	54,938	NUM
brj-22715	136	147	peer	peer	NOUN
brj-22715	136	148	-	-	PUNCT
brj-22715	136	149	reviewed	review	VERB
brj-22715	136	150	article	article	NOUN
brj-22715	136	151	bioresources.com	bioresources.com	X
brj-22715	136	152	bardak	bardak	PROPN
brj-22715	136	153	et	et	PROPN
brj-22715	136	154	al	al	PROPN
brj-22715	136	155	.	.	PROPN
brj-22715	136	156	(	(	PUNCT
brj-22715	136	157	2023	2023	NUM
brj-22715	136	158	)	)	PUNCT
brj-22715	136	159	.	.	PUNCT
brj-22715	137	1	“	"	PUNCT
brj-22715	137	2	furniture	furniture	NOUN
brj-22715	137	3	prices	price	NOUN
brj-22715	137	4	by	by	ADP
brj-22715	137	5	web	web	NOUN
brj-22715	137	6	mining	mining	NOUN
brj-22715	137	7	,	,	PUNCT
brj-22715	137	8	”	"	PUNCT
brj-22715	137	9	bioresources	bioresource	NOUN
brj-22715	137	10	18(4	18(4	NUM
brj-22715	137	11	)	)	PUNCT
brj-22715	137	12	,	,	PUNCT
brj-22715	137	13	7412	7412	NUM
brj-22715	137	14	-	-	SYM
brj-22715	137	15	7427	7427	NUM
brj-22715	137	16	.	.	PUNCT
brj-22715	138	1	7419	7419	NUM
brj-22715	138	2	results	result	NOUN
brj-22715	138	3	and	and	CCONJ
brj-22715	138	4	discussion	discussion	NOUN
brj-22715	138	5	two	two	NUM
brj-22715	138	6	different	different	ADJ
brj-22715	138	7	ml	ml	NOUN
brj-22715	138	8	models	model	NOUN
brj-22715	138	9	were	be	AUX
brj-22715	138	10	developed	develop	VERB
brj-22715	138	11	using	use	VERB
brj-22715	138	12	the	the	DET
brj-22715	138	13	data	datum	NOUN
brj-22715	138	14	obtained	obtain	VERB
brj-22715	138	15	from	from	ADP
brj-22715	138	16	web	web	NOUN
brj-22715	138	17	pages	page	NOUN
brj-22715	138	18	,	,	PUNCT
brj-22715	138	19	and	and	CCONJ
brj-22715	138	20	each	each	DET
brj-22715	138	21	model	model	NOUN
brj-22715	138	22	was	be	AUX
brj-22715	138	23	trained	train	VERB
brj-22715	138	24	and	and	CCONJ
brj-22715	138	25	tested	test	VERB
brj-22715	138	26	on	on	ADP
brj-22715	138	27	the	the	DET
brj-22715	138	28	same	same	ADJ
brj-22715	138	29	data	data	NOUN
brj-22715	138	30	sets	set	NOUN
brj-22715	138	31	.	.	PUNCT
brj-22715	139	1	tables	table	NOUN
brj-22715	139	2	5	5	NUM
brj-22715	139	3	and	and	CCONJ
brj-22715	139	4	6	6	NUM
brj-22715	139	5	present	present	VERB
brj-22715	139	6	the	the	DET
brj-22715	139	7	prediction	prediction	NOUN
brj-22715	139	8	performances	performance	NOUN
brj-22715	139	9	for	for	ADP
brj-22715	139	10	furniture	furniture	NOUN
brj-22715	139	11	.	.	PUNCT
brj-22715	140	1	a	a	DET
brj-22715	140	2	total	total	NOUN
brj-22715	140	3	of	of	ADP
brj-22715	140	4	300	300	NUM
brj-22715	140	5	data	datum	NOUN
brj-22715	140	6	samples	sample	NOUN
brj-22715	140	7	from	from	ADP
brj-22715	140	8	three	three	NUM
brj-22715	140	9	different	different	ADJ
brj-22715	140	10	ecommerce	ecommerce	NOUN
brj-22715	140	11	websites	website	NOUN
brj-22715	140	12	were	be	AUX
brj-22715	140	13	collected	collect	VERB
brj-22715	140	14	for	for	ADP
brj-22715	140	15	this	this	DET
brj-22715	140	16	study	study	NOUN
brj-22715	140	17	:	:	PUNCT
brj-22715	140	18	114	114	NUM
brj-22715	140	19	samples	sample	NOUN
brj-22715	140	20	were	be	AUX
brj-22715	140	21	provided	provide	VERB
brj-22715	140	22	by	by	ADP
brj-22715	140	23	the	the	DET
brj-22715	140	24	first	first	ADJ
brj-22715	140	25	website	website	NOUN
brj-22715	140	26	,	,	PUNCT
brj-22715	140	27	97	97	NUM
brj-22715	140	28	samples	sample	NOUN
brj-22715	140	29	were	be	AUX
brj-22715	140	30	provided	provide	VERB
brj-22715	140	31	by	by	ADP
brj-22715	140	32	the	the	DET
brj-22715	140	33	second	second	ADJ
brj-22715	140	34	website	website	NOUN
brj-22715	140	35	,	,	PUNCT
brj-22715	140	36	and	and	CCONJ
brj-22715	140	37	89	89	NUM
brj-22715	140	38	samples	sample	NOUN
brj-22715	140	39	were	be	AUX
brj-22715	140	40	provided	provide	VERB
brj-22715	140	41	by	by	ADP
brj-22715	140	42	the	the	DET
brj-22715	140	43	third	third	ADJ
brj-22715	140	44	website	website	NOUN
brj-22715	140	45	.	.	PUNCT
brj-22715	141	1	table	table	NOUN
brj-22715	141	2	5	5	NUM
brj-22715	141	3	.	.	PUNCT
brj-22715	142	1	the	the	DET
brj-22715	142	2	prediction	prediction	NOUN
brj-22715	142	3	performances	performance	VERB
brj-22715	142	4	for	for	ADP
brj-22715	142	5	bookcase	bookcase	NOUN
brj-22715	142	6	furniture	furniture	NOUN
brj-22715	142	7	model	model	NOUN
brj-22715	142	8	testing	testing	NOUN
brj-22715	142	9	phase	phase	NOUN
brj-22715	142	10	training	training	NOUN
brj-22715	142	11	phase	phase	NOUN
brj-22715	142	12	r2	r2	PROPN
brj-22715	142	13	rmse	rmse	PROPN
brj-22715	142	14	r2	r2	PROPN
brj-22715	142	15	rmse	rmse	PROPN
brj-22715	142	16	dl	dl	PROPN
brj-22715	142	17	0.797	0.797	NUM
brj-22715	142	18	31.080	31.080	NUM
brj-22715	142	19	0.710	0.710	NUM
brj-22715	142	20	33.185	33.185	NUM
brj-22715	142	21	rf	rf	NUM
brj-22715	142	22	0.892	0.892	NUM
brj-22715	142	23	21.845	21.845	NUM
brj-22715	142	24	0.934	0.934	NUM
brj-22715	142	25	16.581	16.581	NUM
brj-22715	142	26	table	table	NOUN
brj-22715	142	27	6	6	NUM
brj-22715	142	28	.	.	PUNCT
brj-22715	143	1	the	the	DET
brj-22715	143	2	prediction	prediction	NOUN
brj-22715	143	3	performances	performance	NOUN
brj-22715	143	4	for	for	ADP
brj-22715	143	5	dresser	dresser	NOUN
brj-22715	143	6	furniture	furniture	NOUN
brj-22715	143	7	model	model	NOUN
brj-22715	143	8	testing	testing	NOUN
brj-22715	143	9	phase	phase	NOUN
brj-22715	143	10	training	training	NOUN
brj-22715	143	11	phase	phase	NOUN
brj-22715	143	12	r2	r2	PROPN
brj-22715	143	13	rmse	rmse	PROPN
brj-22715	143	14	r2	r2	PROPN
brj-22715	143	15	rmse	rmse	PROPN
brj-22715	143	16	dl	dl	PROPN
brj-22715	143	17	0.874	0.874	NUM
brj-22715	143	18	60.190	60.190	NUM
brj-22715	143	19	0.827	0.827	NUM
brj-22715	143	20	51.648	51.648	NUM
brj-22715	143	21	rf	rf	VERB
brj-22715	143	22	0.939	0.939	NUM
brj-22715	143	23	51.715	51.715	NUM
brj-22715	143	24	0.969	0.969	NUM
brj-22715	143	25	23.106	23.106	NUM
brj-22715	143	26	in	in	ADP
brj-22715	143	27	terms	term	NOUN
brj-22715	143	28	of	of	ADP
brj-22715	143	29	performance	performance	NOUN
brj-22715	143	30	measurements	measurement	NOUN
brj-22715	143	31	,	,	PUNCT
brj-22715	143	32	the	the	DET
brj-22715	143	33	rf	rf	ADJ
brj-22715	143	34	algorithm	algorithm	NOUN
brj-22715	143	35	demonstrated	demonstrate	VERB
brj-22715	143	36	the	the	DET
brj-22715	143	37	highest	high	ADJ
brj-22715	143	38	r2	r2	NOUN
brj-22715	143	39	(	(	PUNCT
brj-22715	143	40	0.939	0.939	NUM
brj-22715	143	41	)	)	PUNCT
brj-22715	143	42	for	for	ADP
brj-22715	143	43	price	price	NOUN
brj-22715	143	44	estimations	estimation	NOUN
brj-22715	143	45	of	of	ADP
brj-22715	143	46	dresser	dresser	NOUN
brj-22715	143	47	furniture	furniture	NOUN
brj-22715	143	48	,	,	PUNCT
brj-22715	143	49	while	while	SCONJ
brj-22715	143	50	the	the	DET
brj-22715	143	51	dl	dl	PROPN
brj-22715	143	52	algorithm	algorithm	PROPN
brj-22715	143	53	exhibited	exhibit	VERB
brj-22715	143	54	the	the	DET
brj-22715	143	55	lowest	low	ADJ
brj-22715	143	56	r2	r2	NOUN
brj-22715	143	57	(	(	PUNCT
brj-22715	143	58	0.797	0.797	NUM
brj-22715	143	59	)	)	PUNCT
brj-22715	143	60	for	for	ADP
brj-22715	143	61	library	library	ADJ
brj-22715	143	62	furniture	furniture	NOUN
brj-22715	143	63	.	.	PUNCT
brj-22715	144	1	the	the	DET
brj-22715	144	2	rf	rf	ADJ
brj-22715	144	3	algorithm	algorithm	NOUN
brj-22715	144	4	outperformed	outperform	VERB
brj-22715	144	5	the	the	DET
brj-22715	144	6	dl	dl	PROPN
brj-22715	144	7	algorithm	algorithm	NOUN
brj-22715	144	8	in	in	ADP
brj-22715	144	9	all	all	DET
brj-22715	144	10	tests	test	NOUN
brj-22715	144	11	,	,	PUNCT
brj-22715	144	12	demonstrating	demonstrate	VERB
brj-22715	144	13	higher	high	ADJ
brj-22715	144	14	performance	performance	NOUN
brj-22715	144	15	.	.	PUNCT
brj-22715	145	1	it	it	PRON
brj-22715	145	2	has	have	AUX
brj-22715	145	3	been	be	AUX
brj-22715	145	4	determined	determine	VERB
brj-22715	145	5	that	that	SCONJ
brj-22715	145	6	all	all	DET
brj-22715	145	7	models	model	NOUN
brj-22715	145	8	were	be	AUX
brj-22715	145	9	suitable	suitable	ADJ
brj-22715	145	10	for	for	ADP
brj-22715	145	11	predicting	predict	VERB
brj-22715	145	12	furniture	furniture	NOUN
brj-22715	145	13	prices	price	NOUN
brj-22715	145	14	.	.	PUNCT
brj-22715	146	1	in	in	ADP
brj-22715	146	2	the	the	DET
brj-22715	146	3	literature	literature	NOUN
brj-22715	146	4	,	,	PUNCT
brj-22715	146	5	an	an	DET
brj-22715	146	6	r2	r2	NOUN
brj-22715	146	7	value	value	NOUN
brj-22715	146	8	greater	great	ADJ
brj-22715	146	9	than	than	SCONJ
brj-22715	146	10	0.70	0.70	NUM
brj-22715	146	11	is	be	AUX
brj-22715	146	12	accepted	accept	VERB
brj-22715	146	13	as	as	ADP
brj-22715	146	14	a	a	DET
brj-22715	146	15	satisfactory	satisfactory	ADJ
brj-22715	146	16	result	result	NOUN
brj-22715	146	17	(	(	PUNCT
brj-22715	146	18	wadie	wadie	NOUN
brj-22715	146	19	et	et	PROPN
brj-22715	146	20	al	al	PROPN
brj-22715	146	21	.	.	PROPN
brj-22715	146	22	2006	2006	NUM
brj-22715	146	23	;	;	PUNCT
brj-22715	146	24	heng	heng	PROPN
brj-22715	146	25	and	and	CCONJ
brj-22715	146	26	suetsugi	suetsugi	VERB
brj-22715	146	27	2013	2013	NUM
brj-22715	146	28	)	)	PUNCT
brj-22715	146	29	.	.	PUNCT
brj-22715	147	1	these	these	DET
brj-22715	147	2	results	result	NOUN
brj-22715	147	3	show	show	VERB
brj-22715	147	4	that	that	SCONJ
brj-22715	147	5	models	model	NOUN
brj-22715	147	6	can	can	AUX
brj-22715	147	7	be	be	AUX
brj-22715	147	8	used	use	VERB
brj-22715	147	9	for	for	ADP
brj-22715	147	10	price	price	NOUN
brj-22715	147	11	estimation	estimation	NOUN
brj-22715	147	12	in	in	ADP
brj-22715	147	13	the	the	DET
brj-22715	147	14	furniture	furniture	NOUN
brj-22715	147	15	industry	industry	NOUN
brj-22715	147	16	.	.	PUNCT
brj-22715	148	1	figure	figure	NOUN
brj-22715	148	2	3	3	NUM
brj-22715	148	3	illustrates	illustrate	VERB
brj-22715	148	4	the	the	DET
brj-22715	148	5	correlation	correlation	NOUN
brj-22715	148	6	between	between	ADP
brj-22715	148	7	the	the	DET
brj-22715	148	8	actual	actual	ADJ
brj-22715	148	9	and	and	CCONJ
brj-22715	148	10	predicted	predict	VERB
brj-22715	148	11	prices	price	NOUN
brj-22715	148	12	of	of	ADP
brj-22715	148	13	bookcase	bookcase	NOUN
brj-22715	148	14	furniture	furniture	NOUN
brj-22715	148	15	during	during	ADP
brj-22715	148	16	the	the	DET
brj-22715	148	17	testing	testing	NOUN
brj-22715	148	18	phase	phase	NOUN
brj-22715	148	19	,	,	PUNCT
brj-22715	148	20	utilizing	utilize	VERB
brj-22715	148	21	the	the	DET
brj-22715	148	22	dl	dl	PROPN
brj-22715	148	23	and	and	CCONJ
brj-22715	148	24	rf	rf	PROPN
brj-22715	148	25	models	model	NOUN
brj-22715	148	26	.	.	PUNCT
brj-22715	149	1	figure	figure	NOUN
brj-22715	149	2	4	4	NUM
brj-22715	149	3	illustrates	illustrate	VERB
brj-22715	149	4	the	the	DET
brj-22715	149	5	correlation	correlation	NOUN
brj-22715	149	6	between	between	ADP
brj-22715	149	7	the	the	DET
brj-22715	149	8	actual	actual	ADJ
brj-22715	149	9	and	and	CCONJ
brj-22715	149	10	predicted	predict	VERB
brj-22715	149	11	prices	price	NOUN
brj-22715	149	12	of	of	ADP
brj-22715	149	13	dresser	dresser	NOUN
brj-22715	149	14	furniture	furniture	NOUN
brj-22715	149	15	during	during	ADP
brj-22715	149	16	the	the	DET
brj-22715	149	17	testing	testing	NOUN
brj-22715	149	18	phase	phase	NOUN
brj-22715	149	19	,	,	PUNCT
brj-22715	149	20	utilizing	utilize	VERB
brj-22715	149	21	the	the	DET
brj-22715	149	22	dp	dp	NOUN
brj-22715	149	23	and	and	CCONJ
brj-22715	149	24	rf	rf	NOUN
brj-22715	149	25	models	model	NOUN
brj-22715	149	26	.	.	PUNCT
brj-22715	150	1	the	the	DET
brj-22715	150	2	predicted	predict	VERB
brj-22715	150	3	results	result	NOUN
brj-22715	150	4	of	of	ADP
brj-22715	150	5	the	the	DET
brj-22715	150	6	two	two	NUM
brj-22715	150	7	data	datum	NOUN
brj-22715	150	8	mining	mining	NOUN
brj-22715	150	9	models	model	NOUN
brj-22715	150	10	for	for	ADP
brj-22715	150	11	bookcase	bookcase	NOUN
brj-22715	150	12	and	and	CCONJ
brj-22715	150	13	dresser	dresser	NOUN
brj-22715	150	14	furniture	furniture	NOUN
brj-22715	150	15	are	be	AUX
brj-22715	150	16	presented	present	VERB
brj-22715	150	17	in	in	ADP
brj-22715	150	18	tables	table	NOUN
brj-22715	150	19	7	7	NUM
brj-22715	150	20	and	and	CCONJ
brj-22715	150	21	8	8	NUM
brj-22715	150	22	during	during	ADP
brj-22715	150	23	the	the	DET
brj-22715	150	24	testing	testing	NOUN
brj-22715	150	25	phase	phase	NOUN
brj-22715	150	26	.	.	PUNCT
brj-22715	151	1	the	the	DET
brj-22715	151	2	data	datum	NOUN
brj-22715	151	3	presented	present	VERB
brj-22715	151	4	in	in	ADP
brj-22715	151	5	tables	table	NOUN
brj-22715	151	6	7	7	NUM
brj-22715	151	7	and	and	CCONJ
brj-22715	151	8	8	8	NUM
brj-22715	151	9	assess	assess	VERB
brj-22715	151	10	the	the	DET
brj-22715	151	11	predictive	predictive	ADJ
brj-22715	151	12	power	power	NOUN
brj-22715	151	13	of	of	ADP
brj-22715	151	14	our	our	PRON
brj-22715	151	15	models	model	NOUN
brj-22715	151	16	.	.	PUNCT
brj-22715	152	1	these	these	DET
brj-22715	152	2	data	datum	NOUN
brj-22715	152	3	demonstrate	demonstrate	VERB
brj-22715	152	4	that	that	SCONJ
brj-22715	152	5	the	the	DET
brj-22715	152	6	present	present	ADJ
brj-22715	152	7	models	model	NOUN
brj-22715	152	8	are	be	AUX
brj-22715	152	9	aligned	align	VERB
brj-22715	152	10	with	with	ADP
brj-22715	152	11	actual	actual	ADJ
brj-22715	152	12	prices	price	NOUN
brj-22715	152	13	and	and	CCONJ
brj-22715	152	14	generally	generally	ADV
brj-22715	152	15	exhibit	exhibit	VERB
brj-22715	152	16	a	a	DET
brj-22715	152	17	low	low	ADJ
brj-22715	152	18	error	error	NOUN
brj-22715	152	19	rate	rate	NOUN
brj-22715	152	20	.	.	PUNCT
brj-22715	153	1	these	these	DET
brj-22715	153	2	findings	finding	NOUN
brj-22715	153	3	indicate	indicate	VERB
brj-22715	153	4	that	that	SCONJ
brj-22715	153	5	these	these	DET
brj-22715	153	6	models	model	NOUN
brj-22715	153	7	could	could	AUX
brj-22715	153	8	be	be	AUX
brj-22715	153	9	an	an	DET
brj-22715	153	10	effective	effective	ADJ
brj-22715	153	11	tool	tool	NOUN
brj-22715	153	12	in	in	ADP
brj-22715	153	13	forecasting	forecast	VERB
brj-22715	153	14	future	future	ADJ
brj-22715	153	15	price	price	NOUN
brj-22715	153	16	trends	trend	NOUN
brj-22715	153	17	.	.	PUNCT
brj-22715	154	1	for	for	ADP
brj-22715	154	2	dresser	dresser	NOUN
brj-22715	154	3	furniture	furniture	NOUN
brj-22715	154	4	,	,	PUNCT
brj-22715	154	5	the	the	DET
brj-22715	154	6	percentages	percentage	NOUN
brj-22715	154	7	of	of	ADP
brj-22715	154	8	correct	correct	ADJ
brj-22715	154	9	predictions	prediction	NOUN
brj-22715	154	10	obtained	obtain	VERB
brj-22715	154	11	by	by	ADP
brj-22715	154	12	dl	dl	PROPN
brj-22715	154	13	and	and	CCONJ
brj-22715	154	14	rf	rf	NOUN
brj-22715	154	15	models	model	NOUN
brj-22715	154	16	were	be	AUX
brj-22715	154	17	determined	determine	VERB
brj-22715	154	18	as	as	ADP
brj-22715	154	19	79.62	79.62	NUM
brj-22715	154	20	%	%	NOUN
brj-22715	154	21	and	and	CCONJ
brj-22715	154	22	83.06	83.06	NUM
brj-22715	154	23	%	%	NOUN
brj-22715	154	24	,	,	PUNCT
brj-22715	154	25	respectively	respectively	ADV
brj-22715	154	26	.	.	PUNCT
brj-22715	155	1	for	for	ADP
brj-22715	155	2	bookcase	bookcase	NOUN
brj-22715	155	3	furniture	furniture	NOUN
brj-22715	155	4	,	,	PUNCT
brj-22715	155	5	the	the	DET
brj-22715	155	6	correct	correct	ADJ
brj-22715	155	7	prediction	prediction	NOUN
brj-22715	155	8	percentages	percentage	NOUN
brj-22715	155	9	of	of	ADP
brj-22715	155	10	the	the	DET
brj-22715	155	11	dl	dl	PROPN
brj-22715	155	12	and	and	CCONJ
brj-22715	155	13	rf	rf	NOUN
brj-22715	155	14	models	model	NOUN
brj-22715	155	15	were	be	AUX
brj-22715	155	16	calculated	calculate	VERB
brj-22715	155	17	as	as	ADP
brj-22715	155	18	74.75	74.75	NUM
brj-22715	155	19	%	%	NOUN
brj-22715	155	20	and	and	CCONJ
brj-22715	155	21	82.60	82.60	NUM
brj-22715	155	22	%	%	NOUN
brj-22715	155	23	,	,	PUNCT
brj-22715	155	24	respectively	respectively	ADV
brj-22715	155	25	.	.	PUNCT
brj-22715	156	1	it	it	PRON
brj-22715	156	2	was	be	AUX
brj-22715	156	3	found	find	VERB
brj-22715	156	4	that	that	SCONJ
brj-22715	156	5	the	the	DET
brj-22715	156	6	prediction	prediction	NOUN
brj-22715	156	7	success	success	NOUN
brj-22715	156	8	of	of	ADP
brj-22715	156	9	dresser	dresser	NOUN
brj-22715	156	10	furniture	furniture	NOUN
brj-22715	156	11	was	be	AUX
brj-22715	156	12	higher	high	ADJ
brj-22715	156	13	than	than	ADP
brj-22715	156	14	bookcase	bookcase	NOUN
brj-22715	156	15	furniture	furniture	NOUN
brj-22715	156	16	.	.	PUNCT
brj-22715	157	1	this	this	PRON
brj-22715	157	2	is	be	AUX
brj-22715	157	3	attributed	attribute	VERB
brj-22715	157	4	to	to	ADP
brj-22715	157	5	the	the	DET
brj-22715	157	6	fact	fact	NOUN
brj-22715	157	7	that	that	SCONJ
brj-22715	157	8	bookcase	bookcase	NOUN
brj-22715	157	9	furniture	furniture	NOUN
brj-22715	157	10	shows	show	VERB
brj-22715	157	11	more	more	ADJ
brj-22715	157	12	variety	variety	NOUN
brj-22715	157	13	in	in	ADP
brj-22715	157	14	the	the	DET
brj-22715	157	15	end	end	NOUN
brj-22715	157	16	product	product	NOUN
brj-22715	157	17	.	.	PUNCT
brj-22715	158	1	peer	peer	NOUN
brj-22715	158	2	-	-	PUNCT
brj-22715	158	3	reviewed	review	VERB
brj-22715	158	4	article	article	NOUN
brj-22715	158	5	bioresources.com	bioresources.com	X
brj-22715	158	6	bardak	bardak	PROPN
brj-22715	158	7	et	et	PROPN
brj-22715	158	8	al	al	PROPN
brj-22715	158	9	.	.	PROPN
brj-22715	158	10	(	(	PUNCT
brj-22715	158	11	2023	2023	NUM
brj-22715	158	12	)	)	PUNCT
brj-22715	158	13	.	.	PUNCT
brj-22715	159	1	“	"	PUNCT
brj-22715	159	2	furniture	furniture	NOUN
brj-22715	159	3	prices	price	NOUN
brj-22715	159	4	by	by	ADP
brj-22715	159	5	web	web	NOUN
brj-22715	159	6	mining	mining	NOUN
brj-22715	159	7	,	,	PUNCT
brj-22715	159	8	”	"	PUNCT
brj-22715	159	9	bioresources	bioresource	NOUN
brj-22715	159	10	18(4	18(4	NUM
brj-22715	159	11	)	)	PUNCT
brj-22715	159	12	,	,	PUNCT
brj-22715	159	13	7412	7412	NUM
brj-22715	159	14	-	-	SYM
brj-22715	159	15	7427	7427	NUM
brj-22715	159	16	.	.	PUNCT
brj-22715	160	1	7420	7420	NUM
brj-22715	160	2	fig	fig	NOUN
brj-22715	160	3	.	.	PUNCT
brj-22715	161	1	3	3	X
brj-22715	161	2	.	.	X
brj-22715	161	3	the	the	DET
brj-22715	161	4	dl	dl	PROPN
brj-22715	161	5	and	and	CCONJ
brj-22715	161	6	rf	rf	PROPN
brj-22715	161	7	models	model	NOUN
brj-22715	161	8	'	'	PART
brj-22715	161	9	actual	actual	ADJ
brj-22715	161	10	and	and	CCONJ
brj-22715	161	11	predicted	predict	VERB
brj-22715	161	12	price	price	NOUN
brj-22715	161	13	results	result	NOUN
brj-22715	161	14	for	for	ADP
brj-22715	161	15	bookcase	bookcase	NOUN
brj-22715	161	16	furniture	furniture	NOUN
brj-22715	161	17	in	in	ADP
brj-22715	161	18	literature	literature	NOUN
brj-22715	161	19	,	,	PUNCT
brj-22715	161	20	the	the	DET
brj-22715	161	21	assessment	assessment	NOUN
brj-22715	161	22	of	of	ADP
brj-22715	161	23	model	model	NOUN
brj-22715	161	24	performance	performance	NOUN
brj-22715	161	25	based	base	VERB
brj-22715	161	26	on	on	ADP
brj-22715	161	27	prediction	prediction	NOUN
brj-22715	161	28	percentage	percentage	NOUN
brj-22715	161	29	values	value	NOUN
brj-22715	161	30	can	can	AUX
brj-22715	161	31	be	be	AUX
brj-22715	161	32	classified	classify	VERB
brj-22715	161	33	as	as	SCONJ
brj-22715	161	34	follows	follow	VERB
brj-22715	161	35	:	:	PUNCT
brj-22715	161	36	a	a	DET
brj-22715	161	37	prediction	prediction	NOUN
brj-22715	161	38	percentage	percentage	NOUN
brj-22715	161	39	value	value	NOUN
brj-22715	161	40	exceeding	exceed	VERB
brj-22715	161	41	90	90	NUM
brj-22715	161	42	%	%	NOUN
brj-22715	161	43	indicates	indicate	VERB
brj-22715	161	44	a	a	DET
brj-22715	161	45	highly	highly	ADV
brj-22715	161	46	accurate	accurate	ADJ
brj-22715	161	47	model	model	NOUN
brj-22715	161	48	,	,	PUNCT
brj-22715	161	49	while	while	SCONJ
brj-22715	161	50	a	a	DET
brj-22715	161	51	prediction	prediction	NOUN
brj-22715	161	52	percentage	percentage	NOUN
brj-22715	161	53	value	value	NOUN
brj-22715	161	54	falling	fall	VERB
brj-22715	161	55	within	within	ADP
brj-22715	161	56	the	the	DET
brj-22715	161	57	range	range	NOUN
brj-22715	161	58	of	of	ADP
brj-22715	161	59	89	89	NUM
brj-22715	161	60	%	%	NOUN
brj-22715	161	61	to	to	PART
brj-22715	161	62	80	80	NUM
brj-22715	161	63	%	%	NOUN
brj-22715	161	64	is	be	AUX
brj-22715	161	65	a	a	DET
brj-22715	161	66	good	good	ADJ
brj-22715	161	67	prediction	prediction	NOUN
brj-22715	161	68	.	.	PUNCT
brj-22715	162	1	additionally	additionally	ADV
brj-22715	162	2	,	,	PUNCT
brj-22715	162	3	a	a	DET
brj-22715	162	4	prediction	prediction	NOUN
brj-22715	162	5	percentage	percentage	NOUN
brj-22715	162	6	value	value	NOUN
brj-22715	162	7	ranging	range	VERB
brj-22715	162	8	from	from	ADP
brj-22715	162	9	79	79	NUM
brj-22715	162	10	%	%	NOUN
brj-22715	162	11	to	to	PART
brj-22715	162	12	50	50	NUM
brj-22715	162	13	%	%	NOUN
brj-22715	162	14	is	be	AUX
brj-22715	162	15	considered	consider	VERB
brj-22715	162	16	a	a	DET
brj-22715	162	17	reasonable	reasonable	ADJ
brj-22715	162	18	prediction	prediction	NOUN
brj-22715	162	19	model	model	NOUN
brj-22715	162	20	(	(	PUNCT
brj-22715	162	21	lewis	lewis	PROPN
brj-22715	162	22	1982	1982	NUM
brj-22715	162	23	)	)	PUNCT
brj-22715	162	24	.	.	PUNCT
brj-22715	163	1	peer	peer	NOUN
brj-22715	163	2	-	-	PUNCT
brj-22715	163	3	reviewed	review	VERB
brj-22715	163	4	article	article	NOUN
brj-22715	163	5	bioresources.com	bioresources.com	X
brj-22715	163	6	bardak	bardak	PROPN
brj-22715	163	7	et	et	PROPN
brj-22715	163	8	al	al	PROPN
brj-22715	163	9	.	.	PROPN
brj-22715	163	10	(	(	PUNCT
brj-22715	163	11	2023	2023	NUM
brj-22715	163	12	)	)	PUNCT
brj-22715	163	13	.	.	PUNCT
brj-22715	164	1	“	"	PUNCT
brj-22715	164	2	furniture	furniture	NOUN
brj-22715	164	3	prices	price	NOUN
brj-22715	164	4	by	by	ADP
brj-22715	164	5	web	web	NOUN
brj-22715	164	6	mining	mining	NOUN
brj-22715	164	7	,	,	PUNCT
brj-22715	164	8	”	"	PUNCT
brj-22715	164	9	bioresources	bioresource	NOUN
brj-22715	164	10	18(4	18(4	NUM
brj-22715	164	11	)	)	PUNCT
brj-22715	164	12	,	,	PUNCT
brj-22715	164	13	7412	7412	NUM
brj-22715	164	14	-	-	SYM
brj-22715	164	15	7427	7427	NUM
brj-22715	164	16	.	.	PUNCT
brj-22715	165	1	7421	7421	NUM
brj-22715	165	2	fig	fig	NOUN
brj-22715	165	3	.	.	PUNCT
brj-22715	166	1	4	4	X
brj-22715	166	2	.	.	X
brj-22715	166	3	the	the	DET
brj-22715	166	4	dl	dl	PROPN
brj-22715	166	5	and	and	CCONJ
brj-22715	166	6	rf	rf	PROPN
brj-22715	166	7	models	model	NOUN
brj-22715	166	8	'	'	PART
brj-22715	166	9	actual	actual	ADJ
brj-22715	166	10	and	and	CCONJ
brj-22715	166	11	predicted	predict	VERB
brj-22715	166	12	price	price	NOUN
brj-22715	166	13	results	result	NOUN
brj-22715	166	14	for	for	ADP
brj-22715	166	15	dresser	dresser	NOUN
brj-22715	166	16	furniture	furniture	NOUN
brj-22715	166	17	peer	peer	NOUN
brj-22715	166	18	-	-	PUNCT
brj-22715	166	19	reviewed	review	VERB
brj-22715	166	20	article	article	NOUN
brj-22715	166	21	bioresources.com	bioresources.com	X
brj-22715	166	22	bardak	bardak	PROPN
brj-22715	166	23	et	et	PROPN
brj-22715	166	24	al	al	PROPN
brj-22715	166	25	.	.	PROPN
brj-22715	167	1	(	(	PUNCT
brj-22715	167	2	2023	2023	NUM
brj-22715	167	3	)	)	PUNCT
brj-22715	167	4	.	.	PUNCT
brj-22715	168	1	“	"	PUNCT
brj-22715	168	2	furniture	furniture	NOUN
brj-22715	168	3	prices	price	NOUN
brj-22715	168	4	by	by	ADP
brj-22715	168	5	web	web	NOUN
brj-22715	168	6	mining	mining	NOUN
brj-22715	168	7	,	,	PUNCT
brj-22715	168	8	”	"	PUNCT
brj-22715	168	9	bioresources	bioresource	NOUN
brj-22715	168	10	18(4	18(4	NUM
brj-22715	168	11	)	)	PUNCT
brj-22715	168	12	,	,	PUNCT
brj-22715	168	13	7412	7412	NUM
brj-22715	168	14	-	-	SYM
brj-22715	168	15	7427	7427	NUM
brj-22715	168	16	.	.	PUNCT
brj-22715	169	1	7422	7422	NUM
brj-22715	169	2	table	table	NOUN
brj-22715	169	3	7	7	NUM
brj-22715	169	4	.	.	PUNCT
brj-22715	169	5	predicted	predict	VERB
brj-22715	169	6	results	result	NOUN
brj-22715	169	7	of	of	ADP
brj-22715	169	8	the	the	DET
brj-22715	169	9	two	two	NUM
brj-22715	169	10	machine	machine	NOUN
brj-22715	169	11	learning	learning	NOUN
brj-22715	169	12	models	model	NOUN
brj-22715	169	13	tested	test	VERB
brj-22715	169	14	for	for	ADP
brj-22715	169	15	bookcase	bookcase	NOUN
brj-22715	169	16	furniture	furniture	NOUN
brj-22715	169	17	dl	dl	PROPN
brj-22715	169	18	rf	rf	PROPN
brj-22715	169	19	sample	sample	NOUN
brj-22715	169	20	actual	actual	ADJ
brj-22715	169	21	price	price	NOUN
brj-22715	169	22	predicted	predict	VERB
brj-22715	169	23	price	price	NOUN
brj-22715	169	24	error	error	NOUN
brj-22715	169	25	(	(	PUNCT
brj-22715	169	26	%	%	INTJ
brj-22715	169	27	)	)	PUNCT
brj-22715	169	28	predicted	predict	VERB
brj-22715	169	29	price	price	NOUN
brj-22715	169	30	error	error	NOUN
brj-22715	169	31	(	(	PUNCT
brj-22715	169	32	%	%	NOUN
brj-22715	169	33	)	)	PUNCT
brj-22715	169	34	1	1	NUM
brj-22715	169	35	34	34	NUM
brj-22715	169	36	48	48	NUM
brj-22715	169	37	41	41	NUM
brj-22715	169	38	52	52	NUM
brj-22715	169	39	54	54	NUM
brj-22715	169	40	2	2	NUM
brj-22715	169	41	37	37	NUM
brj-22715	169	42	58	58	NUM
brj-22715	169	43	56	56	NUM
brj-22715	169	44	64	64	NUM
brj-22715	169	45	73	73	NUM
brj-22715	169	46	3	3	NUM
brj-22715	169	47	39	39	NUM
brj-22715	169	48	38	38	NUM
brj-22715	169	49	2	2	NUM
brj-22715	169	50	51	51	NUM
brj-22715	169	51	30	30	NUM
brj-22715	169	52	4	4	NUM
brj-22715	169	53	41	41	NUM
brj-22715	169	54	55	55	NUM
brj-22715	169	55	34	34	NUM
brj-22715	169	56	61	61	NUM
brj-22715	169	57	48	48	NUM
brj-22715	169	58	5	5	NUM
brj-22715	169	59	44	44	NUM
brj-22715	169	60	71	71	NUM
brj-22715	169	61	61	61	NUM
brj-22715	169	62	65	65	NUM
brj-22715	169	63	48	48	NUM
brj-22715	169	64	6	6	NUM
brj-22715	169	65	49	49	NUM
brj-22715	169	66	37	37	NUM
brj-22715	169	67	24	24	NUM
brj-22715	169	68	69	69	NUM
brj-22715	169	69	40	40	NUM
brj-22715	169	70	7	7	NUM
brj-22715	169	71	64	64	NUM
brj-22715	169	72	54	54	NUM
brj-22715	169	73	15	15	NUM
brj-22715	169	74	65	65	NUM
brj-22715	169	75	2	2	NUM
brj-22715	169	76	8	8	NUM
brj-22715	169	77	67	67	NUM
brj-22715	169	78	49	49	NUM
brj-22715	169	79	26	26	NUM
brj-22715	169	80	56	56	NUM
brj-22715	169	81	17	17	NUM
brj-22715	169	82	9	9	NUM
brj-22715	169	83	69	69	NUM
brj-22715	169	84	40	40	NUM
brj-22715	169	85	42	42	NUM
brj-22715	169	86	58	58	NUM
brj-22715	169	87	16	16	NUM
brj-22715	169	88	10	10	NUM
brj-22715	169	89	69	69	NUM
brj-22715	169	90	37	37	NUM
brj-22715	169	91	46	46	NUM
brj-22715	169	92	61	61	NUM
brj-22715	169	93	11	11	NUM
brj-22715	169	94	11	11	NUM
brj-22715	169	95	70	70	NUM
brj-22715	169	96	77	77	NUM
brj-22715	169	97	10	10	NUM
brj-22715	169	98	65	65	NUM
brj-22715	169	99	7	7	NUM
brj-22715	169	100	12	12	NUM
brj-22715	169	101	78	78	NUM
brj-22715	169	102	132	132	NUM
brj-22715	169	103	70	70	NUM
brj-22715	169	104	105	105	NUM
brj-22715	169	105	35	35	NUM
brj-22715	169	106	13	13	NUM
brj-22715	169	107	78	78	NUM
brj-22715	169	108	119	119	NUM
brj-22715	169	109	53	53	NUM
brj-22715	169	110	93	93	NUM
brj-22715	169	111	19	19	NUM
brj-22715	169	112	14	14	NUM
brj-22715	169	113	79	79	NUM
brj-22715	169	114	70	70	NUM
brj-22715	169	115	12	12	NUM
brj-22715	169	116	75	75	NUM
brj-22715	169	117	6	6	NUM
brj-22715	169	118	15	15	NUM
brj-22715	169	119	80	80	NUM
brj-22715	169	120	81	81	NUM
brj-22715	169	121	2	2	NUM
brj-22715	169	122	85	85	NUM
brj-22715	169	123	6	6	NUM
brj-22715	169	124	16	16	NUM
brj-22715	169	125	82	82	NUM
brj-22715	169	126	66	66	NUM
brj-22715	169	127	20	20	NUM
brj-22715	169	128	81	81	NUM
brj-22715	169	129	1	1	NUM
brj-22715	169	130	17	17	NUM
brj-22715	169	131	82	82	NUM
brj-22715	169	132	66	66	NUM
brj-22715	169	133	20	20	NUM
brj-22715	169	134	81	81	NUM
brj-22715	169	135	1	1	NUM
brj-22715	169	136	18	18	NUM
brj-22715	169	137	83	83	NUM
brj-22715	169	138	64	64	NUM
brj-22715	169	139	23	23	NUM
brj-22715	169	140	79	79	NUM
brj-22715	169	141	5	5	NUM
brj-22715	169	142	19	19	NUM
brj-22715	169	143	88	88	NUM
brj-22715	169	144	69	69	NUM
brj-22715	169	145	21	21	NUM
brj-22715	169	146	85	85	NUM
brj-22715	169	147	4	4	NUM
brj-22715	169	148	20	20	NUM
brj-22715	169	149	89	89	NUM
brj-22715	169	150	139	139	NUM
brj-22715	169	151	56	56	NUM
brj-22715	169	152	111	111	NUM
brj-22715	169	153	25	25	NUM
brj-22715	169	154	21	21	NUM
brj-22715	169	155	89	89	NUM
brj-22715	169	156	139	139	NUM
brj-22715	169	157	56	56	NUM
brj-22715	169	158	111	111	NUM
brj-22715	169	159	25	25	NUM
brj-22715	169	160	22	22	NUM
brj-22715	169	161	90	90	NUM
brj-22715	169	162	109	109	NUM
brj-22715	169	163	21	21	NUM
brj-22715	169	164	124	124	NUM
brj-22715	169	165	38	38	NUM
brj-22715	169	166	23	23	NUM
brj-22715	169	167	99	99	NUM
brj-22715	169	168	158	158	NUM
brj-22715	169	169	59	59	NUM
brj-22715	169	170	121	121	NUM
brj-22715	169	171	22	22	NUM
brj-22715	169	172	24	24	NUM
brj-22715	169	173	99	99	NUM
brj-22715	169	174	106	106	NUM
brj-22715	169	175	7	7	NUM
brj-22715	169	176	100	100	NUM
brj-22715	169	177	1	1	NUM
brj-22715	169	178	25	25	NUM
brj-22715	169	179	99	99	NUM
brj-22715	169	180	99	99	NUM
brj-22715	169	181	0	0	NUM
brj-22715	170	1	101	101	NUM
brj-22715	170	2	2	2	NUM
brj-22715	170	3	26	26	NUM
brj-22715	170	4	109	109	NUM
brj-22715	170	5	136	136	NUM
brj-22715	170	6	25	25	NUM
brj-22715	170	7	118	118	NUM
brj-22715	170	8	9	9	NUM
brj-22715	170	9	27	27	NUM
brj-22715	170	10	112	112	NUM
brj-22715	170	11	132	132	NUM
brj-22715	170	12	18	18	NUM
brj-22715	170	13	108	108	NUM
brj-22715	170	14	4	4	NUM
brj-22715	170	15	28	28	NUM
brj-22715	170	16	119	119	NUM
brj-22715	170	17	152	152	NUM
brj-22715	170	18	28	28	NUM
brj-22715	170	19	139	139	NUM
brj-22715	170	20	17	17	NUM
brj-22715	170	21	29	29	NUM
brj-22715	170	22	119	119	NUM
brj-22715	170	23	152	152	NUM
brj-22715	170	24	28	28	NUM
brj-22715	170	25	139	139	NUM
brj-22715	170	26	17	17	NUM
brj-22715	170	27	30	30	NUM
brj-22715	170	28	119	119	NUM
brj-22715	170	29	114	114	NUM
brj-22715	170	30	4	4	NUM
brj-22715	170	31	122	122	NUM
brj-22715	170	32	3	3	NUM
brj-22715	170	33	31	31	NUM
brj-22715	170	34	138	138	NUM
brj-22715	170	35	225	225	NUM
brj-22715	170	36	63	63	NUM
brj-22715	170	37	170	170	NUM
brj-22715	170	38	23	23	NUM
brj-22715	170	39	32	32	NUM
brj-22715	170	40	139	139	NUM
brj-22715	170	41	148	148	NUM
brj-22715	170	42	7	7	NUM
brj-22715	170	43	136	136	NUM
brj-22715	170	44	2	2	NUM
brj-22715	170	45	33	33	NUM
brj-22715	170	46	147	147	NUM
brj-22715	170	47	165	165	NUM
brj-22715	170	48	12	12	NUM
brj-22715	170	49	146	146	NUM
brj-22715	170	50	0	0	NUM
brj-22715	170	51	34	34	NUM
brj-22715	170	52	147	147	NUM
brj-22715	170	53	165	165	NUM
brj-22715	170	54	12	12	NUM
brj-22715	170	55	146	146	NUM
brj-22715	170	56	0	0	NUM
brj-22715	170	57	35	35	NUM
brj-22715	170	58	149	149	NUM
brj-22715	170	59	146	146	NUM
brj-22715	170	60	2	2	NUM
brj-22715	170	61	147	147	NUM
brj-22715	170	62	2	2	NUM
brj-22715	170	63	36	36	NUM
brj-22715	170	64	152	152	NUM
brj-22715	170	65	126	126	NUM
brj-22715	170	66	17	17	NUM
brj-22715	170	67	131	131	NUM
brj-22715	170	68	14	14	NUM
brj-22715	170	69	37	37	NUM
brj-22715	170	70	154	154	NUM
brj-22715	170	71	202	202	NUM
brj-22715	170	72	31	31	NUM
brj-22715	170	73	195	195	NUM
brj-22715	170	74	27	27	NUM
brj-22715	170	75	38	38	NUM
brj-22715	170	76	158	158	NUM
brj-22715	170	77	128	128	NUM
brj-22715	170	78	19	19	NUM
brj-22715	170	79	130	130	NUM
brj-22715	170	80	18	18	NUM
brj-22715	170	81	39	39	NUM
brj-22715	170	82	176	176	NUM
brj-22715	170	83	228	228	NUM
brj-22715	170	84	30	30	NUM
brj-22715	170	85	208	208	NUM
brj-22715	170	86	18	18	NUM
brj-22715	170	87	40	40	NUM
brj-22715	170	88	179	179	NUM
brj-22715	170	89	183	183	NUM
brj-22715	170	90	2	2	NUM
brj-22715	170	91	140	140	NUM
brj-22715	170	92	22	22	NUM
brj-22715	170	93	41	41	NUM
brj-22715	170	94	192	192	NUM
brj-22715	170	95	136	136	NUM
brj-22715	170	96	29	29	NUM
brj-22715	170	97	149	149	NUM
brj-22715	170	98	22	22	NUM
brj-22715	170	99	42	42	NUM
brj-22715	170	100	219	219	NUM
brj-22715	170	101	226	226	NUM
brj-22715	170	102	3	3	NUM
brj-22715	170	103	166	166	NUM
brj-22715	170	104	24	24	NUM
brj-22715	170	105	43	43	NUM
brj-22715	170	106	260	260	NUM
brj-22715	170	107	214	214	NUM
brj-22715	170	108	18	18	NUM
brj-22715	170	109	211	211	NUM
brj-22715	170	110	19	19	NUM
brj-22715	170	111	44	44	NUM
brj-22715	170	112	282	282	NUM
brj-22715	170	113	278	278	NUM
brj-22715	170	114	1	1	NUM
brj-22715	170	115	281	281	NUM
brj-22715	170	116	0	0	NUM
brj-22715	170	117	45	45	NUM
brj-22715	170	118	338	338	NUM
brj-22715	170	119	304	304	NUM
brj-22715	170	120	10	10	NUM
brj-22715	170	121	314	314	NUM
brj-22715	170	122	7	7	NUM
brj-22715	170	123	peer	peer	NOUN
brj-22715	170	124	-	-	PUNCT
brj-22715	170	125	reviewed	review	VERB
brj-22715	170	126	article	article	NOUN
brj-22715	170	127	bioresources.com	bioresources.com	X
brj-22715	170	128	bardak	bardak	PROPN
brj-22715	170	129	et	et	PROPN
brj-22715	170	130	al	al	PROPN
brj-22715	170	131	.	.	PROPN
brj-22715	170	132	(	(	PUNCT
brj-22715	170	133	2023	2023	NUM
brj-22715	170	134	)	)	PUNCT
brj-22715	170	135	.	.	PUNCT
brj-22715	171	1	“	"	PUNCT
brj-22715	171	2	furniture	furniture	NOUN
brj-22715	171	3	prices	price	NOUN
brj-22715	171	4	by	by	ADP
brj-22715	171	5	web	web	NOUN
brj-22715	171	6	mining	mining	NOUN
brj-22715	171	7	,	,	PUNCT
brj-22715	171	8	”	"	PUNCT
brj-22715	171	9	bioresources	bioresource	NOUN
brj-22715	171	10	18(4	18(4	NUM
brj-22715	171	11	)	)	PUNCT
brj-22715	171	12	,	,	PUNCT
brj-22715	171	13	7412	7412	NUM
brj-22715	171	14	-	-	SYM
brj-22715	171	15	7427	7427	NUM
brj-22715	171	16	.	.	PUNCT
brj-22715	172	1	7423	7423	NUM
brj-22715	172	2	table	table	NOUN
brj-22715	172	3	8	8	NUM
brj-22715	172	4	.	.	PUNCT
brj-22715	172	5	predicted	predict	VERB
brj-22715	172	6	dresser	dresser	NOUN
brj-22715	172	7	furniture	furniture	NOUN
brj-22715	172	8	prices	price	NOUN
brj-22715	172	9	of	of	ADP
brj-22715	172	10	the	the	DET
brj-22715	172	11	two	two	NUM
brj-22715	172	12	machine	machine	NOUN
brj-22715	172	13	learning	learning	NOUN
brj-22715	172	14	models	model	NOUN
brj-22715	172	15	for	for	ADP
brj-22715	172	16	testing	testing	NOUN
brj-22715	172	17	phase	phase	NOUN
brj-22715	172	18	dl	dl	PROPN
brj-22715	172	19	rf	rf	PROPN
brj-22715	172	20	sample	sample	NOUN
brj-22715	172	21	actual	actual	ADJ
brj-22715	172	22	price	price	NOUN
brj-22715	172	23	predicted	predict	VERB
brj-22715	172	24	price	price	NOUN
brj-22715	172	25	error	error	NOUN
brj-22715	172	26	(	(	PUNCT
brj-22715	172	27	%	%	INTJ
brj-22715	172	28	)	)	PUNCT
brj-22715	172	29	predicted	predict	VERB
brj-22715	172	30	price	price	NOUN
brj-22715	172	31	error	error	NOUN
brj-22715	172	32	(	(	PUNCT
brj-22715	172	33	%	%	NOUN
brj-22715	172	34	)	)	PUNCT
brj-22715	172	35	1	1	NUM
brj-22715	172	36	65	65	NUM
brj-22715	172	37	76	76	NUM
brj-22715	172	38	17	17	NUM
brj-22715	172	39	76	76	NUM
brj-22715	172	40	17	17	NUM
brj-22715	172	41	2	2	NUM
brj-22715	172	42	70	70	NUM
brj-22715	172	43	76	76	NUM
brj-22715	172	44	9	9	NUM
brj-22715	172	45	76	76	NUM
brj-22715	172	46	9	9	NUM
brj-22715	172	47	3	3	NUM
brj-22715	172	48	80	80	NUM
brj-22715	172	49	128	128	NUM
brj-22715	172	50	60	60	NUM
brj-22715	172	51	124	124	NUM
brj-22715	172	52	54	54	NUM
brj-22715	172	53	4	4	NUM
brj-22715	172	54	99	99	NUM
brj-22715	172	55	125	125	NUM
brj-22715	172	56	26	26	NUM
brj-22715	172	57	131	131	NUM
brj-22715	172	58	33	33	NUM
brj-22715	172	59	5	5	NUM
brj-22715	172	60	99	99	NUM
brj-22715	172	61	152	152	NUM
brj-22715	172	62	54	54	NUM
brj-22715	172	63	164	164	NUM
brj-22715	172	64	66	66	NUM
brj-22715	172	65	6	6	NUM
brj-22715	172	66	99	99	NUM
brj-22715	172	67	125	125	NUM
brj-22715	172	68	26	26	NUM
brj-22715	172	69	131	131	NUM
brj-22715	172	70	33	33	NUM
brj-22715	172	71	7	7	NUM
brj-22715	172	72	110	110	NUM
brj-22715	172	73	118	118	NUM
brj-22715	172	74	7	7	NUM
brj-22715	172	75	104	104	NUM
brj-22715	172	76	6	6	NUM
brj-22715	172	77	8	8	NUM
brj-22715	172	78	129	129	NUM
brj-22715	172	79	184	184	NUM
brj-22715	172	80	43	43	NUM
brj-22715	172	81	200	200	NUM
brj-22715	172	82	55	55	NUM
brj-22715	172	83	9	9	NUM
brj-22715	172	84	129	129	NUM
brj-22715	172	85	141	141	NUM
brj-22715	172	86	9	9	NUM
brj-22715	172	87	185	185	NUM
brj-22715	172	88	43	43	NUM
brj-22715	172	89	10	10	NUM
brj-22715	172	90	129	129	NUM
brj-22715	172	91	149	149	NUM
brj-22715	172	92	15	15	NUM
brj-22715	172	93	164	164	NUM
brj-22715	172	94	27	27	NUM
brj-22715	172	95	11	11	NUM
brj-22715	172	96	149	149	NUM
brj-22715	172	97	150	150	NUM
brj-22715	172	98	1	1	NUM
brj-22715	172	99	186	186	NUM
brj-22715	172	100	25	25	NUM
brj-22715	172	101	12	12	NUM
brj-22715	172	102	150	150	NUM
brj-22715	172	103	135	135	NUM
brj-22715	172	104	10	10	NUM
brj-22715	172	105	147	147	NUM
brj-22715	172	106	2	2	NUM
brj-22715	172	107	13	13	NUM
brj-22715	172	108	169	169	NUM
brj-22715	172	109	156	156	NUM
brj-22715	172	110	8	8	NUM
brj-22715	172	111	198	198	NUM
brj-22715	172	112	17	17	NUM
brj-22715	172	113	14	14	NUM
brj-22715	172	114	170	170	NUM
brj-22715	172	115	159	159	NUM
brj-22715	172	116	7	7	NUM
brj-22715	172	117	195	195	NUM
brj-22715	172	118	15	15	NUM
brj-22715	172	119	15	15	NUM
brj-22715	172	120	170	170	NUM
brj-22715	172	121	78	78	NUM
brj-22715	172	122	54	54	NUM
brj-22715	172	123	97	97	NUM
brj-22715	172	124	43	43	NUM
brj-22715	172	125	16	16	NUM
brj-22715	172	126	173	173	NUM
brj-22715	172	127	96	96	NUM
brj-22715	172	128	44	44	NUM
brj-22715	172	129	135	135	NUM
brj-22715	172	130	22	22	NUM
brj-22715	172	131	17	17	NUM
brj-22715	172	132	199	199	NUM
brj-22715	172	133	208	208	NUM
brj-22715	172	134	4	4	NUM
brj-22715	172	135	220	220	NUM
brj-22715	172	136	11	11	NUM
brj-22715	172	137	18	18	NUM
brj-22715	172	138	199	199	NUM
brj-22715	172	139	145	145	NUM
brj-22715	172	140	27	27	NUM
brj-22715	172	141	175	175	NUM
brj-22715	172	142	12	12	NUM
brj-22715	172	143	19	19	NUM
brj-22715	172	144	199	199	NUM
brj-22715	172	145	114	114	NUM
brj-22715	172	146	43	43	NUM
brj-22715	172	147	187	187	NUM
brj-22715	172	148	6	6	NUM
brj-22715	172	149	20	20	NUM
brj-22715	172	150	199	199	NUM
brj-22715	172	151	145	145	NUM
brj-22715	172	152	27	27	NUM
brj-22715	172	153	175	175	NUM
brj-22715	172	154	12	12	NUM
brj-22715	172	155	21	21	NUM
brj-22715	172	156	209	209	NUM
brj-22715	172	157	206	206	NUM
brj-22715	172	158	2	2	NUM
brj-22715	172	159	233	233	NUM
brj-22715	172	160	11	11	NUM
brj-22715	172	161	22	22	NUM
brj-22715	172	162	218	218	NUM
brj-22715	172	163	302	302	NUM
brj-22715	172	164	39	39	NUM
brj-22715	172	165	246	246	NUM
brj-22715	172	166	13	13	NUM
brj-22715	172	167	23	23	NUM
brj-22715	172	168	219	219	NUM
brj-22715	172	169	156	156	NUM
brj-22715	172	170	29	29	NUM
brj-22715	172	171	210	210	NUM
brj-22715	172	172	4	4	NUM
brj-22715	172	173	24	24	NUM
brj-22715	172	174	229	229	NUM
brj-22715	172	175	222	222	NUM
brj-22715	172	176	3	3	NUM
brj-22715	172	177	219	219	NUM
brj-22715	172	178	4	4	NUM
brj-22715	172	179	25	25	NUM
brj-22715	172	180	258	258	NUM
brj-22715	172	181	235	235	NUM
brj-22715	172	182	9	9	NUM
brj-22715	172	183	249	249	NUM
brj-22715	172	184	4	4	NUM
brj-22715	172	185	26	26	NUM
brj-22715	172	186	279	279	NUM
brj-22715	172	187	297	297	NUM
brj-22715	172	188	6	6	NUM
brj-22715	172	189	292	292	NUM
brj-22715	172	190	5	5	NUM
brj-22715	172	191	27	27	NUM
brj-22715	172	192	280	280	NUM
brj-22715	172	193	175	175	NUM
brj-22715	172	194	37	37	NUM
brj-22715	172	195	231	231	NUM
brj-22715	172	196	17	17	NUM
brj-22715	172	197	28	28	NUM
brj-22715	172	198	289	289	NUM
brj-22715	172	199	242	242	NUM
brj-22715	172	200	16	16	NUM
brj-22715	172	201	268	268	NUM
brj-22715	172	202	7	7	NUM
brj-22715	172	203	29	29	NUM
brj-22715	172	204	299	299	NUM
brj-22715	172	205	233	233	NUM
brj-22715	172	206	22	22	NUM
brj-22715	172	207	284	284	NUM
brj-22715	172	208	5	5	NUM
brj-22715	172	209	30	30	NUM
brj-22715	172	210	299	299	NUM
brj-22715	172	211	226	226	NUM
brj-22715	172	212	24	24	NUM
brj-22715	172	213	280	280	NUM
brj-22715	172	214	6	6	NUM
brj-22715	172	215	31	31	NUM
brj-22715	172	216	315	315	NUM
brj-22715	172	217	346	346	NUM
brj-22715	172	218	10	10	NUM
brj-22715	172	219	314	314	NUM
brj-22715	172	220	0	0	NUM
brj-22715	172	221	32	32	NUM
brj-22715	172	222	320	320	NUM
brj-22715	172	223	232	232	NUM
brj-22715	172	224	28	28	NUM
brj-22715	172	225	303	303	NUM
brj-22715	172	226	5	5	NUM
brj-22715	172	227	33	33	NUM
brj-22715	172	228	349	349	NUM
brj-22715	172	229	229	229	NUM
brj-22715	172	230	34	34	NUM
brj-22715	172	231	326	326	NUM
brj-22715	172	232	7	7	NUM
brj-22715	172	233	34	34	NUM
brj-22715	172	234	349	349	NUM
brj-22715	172	235	345	345	NUM
brj-22715	172	236	1	1	NUM
brj-22715	172	237	367	367	NUM
brj-22715	172	238	5	5	NUM
brj-22715	172	239	35	35	NUM
brj-22715	172	240	349	349	NUM
brj-22715	172	241	229	229	NUM
brj-22715	172	242	34	34	NUM
brj-22715	172	243	326	326	NUM
brj-22715	172	244	7	7	NUM
brj-22715	172	245	36	36	NUM
brj-22715	172	246	360	360	NUM
brj-22715	172	247	299	299	NUM
brj-22715	172	248	17	17	NUM
brj-22715	172	249	314	314	NUM
brj-22715	172	250	13	13	NUM
brj-22715	172	251	37	37	NUM
brj-22715	172	252	390	390	NUM
brj-22715	172	253	327	327	NUM
brj-22715	172	254	16	16	NUM
brj-22715	172	255	353	353	NUM
brj-22715	172	256	9	9	NUM
brj-22715	172	257	38	38	NUM
brj-22715	172	258	390	390	NUM
brj-22715	172	259	254	254	NUM
brj-22715	172	260	35	35	NUM
brj-22715	172	261	325	325	NUM
brj-22715	172	262	17	17	NUM
brj-22715	172	263	39	39	NUM
brj-22715	172	264	421	421	NUM
brj-22715	172	265	443	443	NUM
brj-22715	172	266	5	5	NUM
brj-22715	172	267	377	377	NUM
brj-22715	172	268	11	11	NUM
brj-22715	172	269	40	40	NUM
brj-22715	172	270	421	421	NUM
brj-22715	172	271	443	443	NUM
brj-22715	172	272	5	5	NUM
brj-22715	172	273	377	377	NUM
brj-22715	172	274	11	11	NUM
brj-22715	172	275	41	41	NUM
brj-22715	172	276	440	440	NUM
brj-22715	172	277	371	371	NUM
brj-22715	172	278	16	16	NUM
brj-22715	172	279	357	357	NUM
brj-22715	172	280	19	19	NUM
brj-22715	172	281	42	42	NUM
brj-22715	172	282	500	500	NUM
brj-22715	172	283	496	496	NUM
brj-22715	172	284	1	1	NUM
brj-22715	172	285	440	440	NUM
brj-22715	172	286	12	12	NUM
brj-22715	172	287	43	43	NUM
brj-22715	172	288	550	550	NUM
brj-22715	172	289	497	497	NUM
brj-22715	172	290	10	10	NUM
brj-22715	172	291	437	437	NUM
brj-22715	172	292	20	20	NUM
brj-22715	172	293	44	44	NUM
brj-22715	172	294	660	660	NUM
brj-22715	172	295	599	599	NUM
brj-22715	172	296	9	9	NUM
brj-22715	172	297	551	551	NUM
brj-22715	172	298	16	16	NUM
brj-22715	172	299	45	45	NUM
brj-22715	172	300	710	710	NUM
brj-22715	172	301	592	592	NUM
brj-22715	172	302	17	17	NUM
brj-22715	172	303	515	515	NUM
brj-22715	172	304	27	27	NUM
brj-22715	172	305	the	the	DET
brj-22715	172	306	relative	relative	ADJ
brj-22715	172	307	importance	importance	NOUN
brj-22715	172	308	of	of	ADP
brj-22715	172	309	attributes	attribute	NOUN
brj-22715	172	310	was	be	AUX
brj-22715	172	311	ascertained	ascertain	VERB
brj-22715	172	312	using	use	VERB
brj-22715	172	313	random	random	ADJ
brj-22715	172	314	forest	forest	NOUN
brj-22715	172	315	(	(	PUNCT
brj-22715	172	316	rf	rf	NOUN
brj-22715	172	317	)	)	PUNCT
brj-22715	172	318	algorithms	algorithm	NOUN
brj-22715	172	319	.	.	PUNCT
brj-22715	173	1	these	these	DET
brj-22715	173	2	attributes	attribute	NOUN
brj-22715	173	3	encompassed	encompass	VERB
brj-22715	173	4	depth	depth	NOUN
brj-22715	173	5	,	,	PUNCT
brj-22715	173	6	height	height	NOUN
brj-22715	173	7	,	,	PUNCT
brj-22715	173	8	frame	frame	NOUN
brj-22715	173	9	material	material	NOUN
brj-22715	173	10	,	,	PUNCT
brj-22715	173	11	number	number	NOUN
brj-22715	173	12	of	of	ADP
brj-22715	173	13	partitions	partition	NOUN
brj-22715	173	14	,	,	PUNCT
brj-22715	173	15	number	number	NOUN
brj-22715	173	16	of	of	ADP
brj-22715	173	17	drawers	drawer	NOUN
brj-22715	173	18	,	,	PUNCT
brj-22715	173	19	and	and	CCONJ
brj-22715	173	20	color	color	NOUN
brj-22715	173	21	.	.	PUNCT
brj-22715	174	1	the	the	DET
brj-22715	174	2	corresponding	correspond	VERB
brj-22715	174	3	weights	weight	NOUN
brj-22715	174	4	were	be	AUX
brj-22715	174	5	assigned	assign	VERB
brj-22715	174	6	to	to	ADP
brj-22715	174	7	each	each	DET
brj-22715	174	8	peer	peer	NOUN
brj-22715	174	9	-	-	PUNCT
brj-22715	174	10	reviewed	review	VERB
brj-22715	174	11	article	article	NOUN
brj-22715	174	12	bioresources.com	bioresources.com	X
brj-22715	174	13	bardak	bardak	PROPN
brj-22715	174	14	et	et	PROPN
brj-22715	174	15	al	al	PROPN
brj-22715	174	16	.	.	PROPN
brj-22715	175	1	(	(	PUNCT
brj-22715	175	2	2023	2023	NUM
brj-22715	175	3	)	)	PUNCT
brj-22715	175	4	.	.	PUNCT
brj-22715	176	1	“	"	PUNCT
brj-22715	176	2	furniture	furniture	NOUN
brj-22715	176	3	prices	price	NOUN
brj-22715	176	4	by	by	ADP
brj-22715	176	5	web	web	NOUN
brj-22715	176	6	mining	mining	NOUN
brj-22715	176	7	,	,	PUNCT
brj-22715	176	8	”	"	PUNCT
brj-22715	176	9	bioresources	bioresource	NOUN
brj-22715	176	10	18(4	18(4	NUM
brj-22715	176	11	)	)	PUNCT
brj-22715	176	12	,	,	PUNCT
brj-22715	176	13	7412	7412	NUM
brj-22715	176	14	-	-	SYM
brj-22715	176	15	7427	7427	NUM
brj-22715	176	16	.	.	PUNCT
brj-22715	176	17	7424	7424	NUM
brj-22715	176	18	attribute	attribute	NOUN
brj-22715	176	19	,	,	PUNCT
brj-22715	176	20	signifying	signify	VERB
brj-22715	176	21	their	their	PRON
brj-22715	176	22	individual	individual	ADJ
brj-22715	176	23	feature	feature	NOUN
brj-22715	176	24	significance	significance	NOUN
brj-22715	176	25	.	.	PUNCT
brj-22715	177	1	the	the	DET
brj-22715	177	2	attribute	attribute	NOUN
brj-22715	177	3	weights	weight	NOUN
brj-22715	177	4	obtained	obtain	VERB
brj-22715	177	5	through	through	ADP
brj-22715	177	6	the	the	DET
brj-22715	177	7	rf	rf	ADJ
brj-22715	177	8	algorithms	algorithm	NOUN
brj-22715	177	9	are	be	AUX
brj-22715	177	10	depicted	depict	VERB
brj-22715	177	11	for	for	ADP
brj-22715	177	12	bookcase	bookcase	NOUN
brj-22715	177	13	and	and	CCONJ
brj-22715	177	14	dresser	dresser	NOUN
brj-22715	177	15	in	in	ADP
brj-22715	177	16	table	table	NOUN
brj-22715	177	17	9	9	NUM
brj-22715	177	18	.	.	PUNCT
brj-22715	177	19	table	table	NOUN
brj-22715	177	20	9	9	NUM
brj-22715	177	21	.	.	PUNCT
brj-22715	178	1	attribute	attribute	NOUN
brj-22715	178	2	weights	weight	NOUN
brj-22715	178	3	obtained	obtain	VERB
brj-22715	178	4	through	through	ADP
brj-22715	178	5	the	the	DET
brj-22715	178	6	rf	rf	ADJ
brj-22715	178	7	algorithms	algorithm	NOUN
brj-22715	178	8	depicted	depict	VERB
brj-22715	178	9	for	for	ADP
brj-22715	178	10	bookcase	bookcase	NOUN
brj-22715	178	11	and	and	CCONJ
brj-22715	178	12	dresser	dresser	NOUN
brj-22715	178	13	bookcase	bookcase	NOUN
brj-22715	178	14	dresser	dresser	NOUN
brj-22715	178	15	attribute	attribute	NOUN
brj-22715	178	16	weight	weight	NOUN
brj-22715	178	17	attribute	attribute	NOUN
brj-22715	178	18	weight	weight	NOUN
brj-22715	178	19	width	width	NOUN
brj-22715	178	20	0.291	0.291	NUM
brj-22715	178	21	height	height	NOUN
brj-22715	178	22	0.244	0.244	NUM
brj-22715	178	23	height	height	NOUN
brj-22715	178	24	0.195	0.195	NUM
brj-22715	178	25	width	width	NOUN
brj-22715	178	26	0.208	0.208	NUM
brj-22715	178	27	depth	depth	NOUN
brj-22715	178	28	0.142	0.142	NUM
brj-22715	178	29	color	color	NOUN
brj-22715	178	30	0.189	0.189	NUM
brj-22715	178	31	color	color	NOUN
brj-22715	178	32	0.137	0.137	NUM
brj-22715	178	33	depth	depth	NOUN
brj-22715	178	34	0.146	0.146	NUM
brj-22715	178	35	number	number	NOUN
brj-22715	178	36	of	of	ADP
brj-22715	178	37	partitions	partition	NOUN
brj-22715	178	38	0.125	0.125	NUM
brj-22715	178	39	frame	frame	NOUN
brj-22715	178	40	material	material	NOUN
brj-22715	178	41	0.108	0.108	NUM
brj-22715	178	42	frame	frame	NOUN
brj-22715	178	43	material	material	NOUN
brj-22715	178	44	0.110	0.110	NUM
brj-22715	178	45	number	number	NOUN
brj-22715	178	46	of	of	ADP
brj-22715	178	47	drawers	drawer	NOUN
brj-22715	178	48	0.105	0.105	NUM
brj-22715	178	49	according	accord	VERB
brj-22715	178	50	to	to	ADP
brj-22715	178	51	the	the	DET
brj-22715	178	52	rf	rf	ADJ
brj-22715	178	53	algorithm	algorithm	NOUN
brj-22715	178	54	(	(	PUNCT
brj-22715	178	55	table	table	NOUN
brj-22715	178	56	9	9	NUM
brj-22715	178	57	)	)	PUNCT
brj-22715	178	58	,	,	PUNCT
brj-22715	178	59	the	the	DET
brj-22715	178	60	bookcase	bookcase	NOUN
brj-22715	178	61	and	and	CCONJ
brj-22715	178	62	dresser	dresser	NOUN
brj-22715	178	63	furniture	furniture	NOUN
brj-22715	178	64	’s	’s	PART
brj-22715	178	65	width	width	NOUN
brj-22715	178	66	,	,	PUNCT
brj-22715	178	67	height	height	NOUN
brj-22715	178	68	,	,	PUNCT
brj-22715	178	69	depth	depth	NOUN
brj-22715	178	70	,	,	PUNCT
brj-22715	178	71	and	and	CCONJ
brj-22715	178	72	color	color	NOUN
brj-22715	178	73	are	be	AUX
brj-22715	178	74	the	the	DET
brj-22715	178	75	key	key	ADJ
brj-22715	178	76	factors	factor	NOUN
brj-22715	178	77	influencing	influence	VERB
brj-22715	178	78	the	the	DET
brj-22715	178	79	price	price	NOUN
brj-22715	178	80	.	.	PUNCT
brj-22715	179	1	this	this	DET
brj-22715	179	2	situation	situation	NOUN
brj-22715	179	3	suggests	suggest	VERB
brj-22715	179	4	that	that	SCONJ
brj-22715	179	5	a	a	DET
brj-22715	179	6	product	product	NOUN
brj-22715	179	7	that	that	PRON
brj-22715	179	8	deviates	deviate	VERB
brj-22715	179	9	from	from	ADP
brj-22715	179	10	standard	standard	ADJ
brj-22715	179	11	measurements	measurement	NOUN
brj-22715	179	12	and	and	CCONJ
brj-22715	179	13	specifications	specification	NOUN
brj-22715	179	14	can	can	AUX
brj-22715	179	15	be	be	AUX
brj-22715	179	16	regarded	regard	VERB
brj-22715	179	17	as	as	ADP
brj-22715	179	18	customized	customize	VERB
brj-22715	179	19	,	,	PUNCT
brj-22715	179	20	which	which	PRON
brj-22715	179	21	may	may	AUX
brj-22715	179	22	result	result	VERB
brj-22715	179	23	in	in	ADP
brj-22715	179	24	a	a	DET
brj-22715	179	25	higher	high	ADJ
brj-22715	179	26	price	price	NOUN
brj-22715	179	27	.	.	PUNCT
brj-22715	180	1	as	as	SCONJ
brj-22715	180	2	suggested	suggest	VERB
brj-22715	180	3	by	by	ADP
brj-22715	180	4	zavadskas	zavadskas	NOUN
brj-22715	180	5	and	and	CCONJ
brj-22715	180	6	colleagues	colleague	NOUN
brj-22715	180	7	(	(	PUNCT
brj-22715	180	8	2010	2010	NUM
brj-22715	180	9	)	)	PUNCT
brj-22715	180	10	,	,	PUNCT
brj-22715	180	11	data	datum	NOUN
brj-22715	180	12	mining	mining	NOUN
brj-22715	180	13	algorithms	algorithm	NOUN
brj-22715	180	14	serve	serve	VERB
brj-22715	180	15	as	as	ADP
brj-22715	180	16	valuable	valuable	ADJ
brj-22715	180	17	methods	method	NOUN
brj-22715	180	18	for	for	ADP
brj-22715	180	19	determining	determine	VERB
brj-22715	180	20	the	the	DET
brj-22715	180	21	weights	weight	NOUN
brj-22715	180	22	of	of	ADP
brj-22715	180	23	different	different	ADJ
brj-22715	180	24	attributes	attribute	NOUN
brj-22715	180	25	in	in	ADP
brj-22715	180	26	complex	complex	ADJ
brj-22715	180	27	decision	decision	NOUN
brj-22715	180	28	-	-	PUNCT
brj-22715	180	29	making	make	VERB
brj-22715	180	30	scenarios	scenario	NOUN
brj-22715	180	31	.	.	PUNCT
brj-22715	181	1	the	the	DET
brj-22715	181	2	utilization	utilization	NOUN
brj-22715	181	3	of	of	ADP
brj-22715	181	4	web	web	NOUN
brj-22715	181	5	mining	mining	NOUN
brj-22715	181	6	as	as	ADP
brj-22715	181	7	an	an	DET
brj-22715	181	8	approach	approach	NOUN
brj-22715	181	9	to	to	PART
brj-22715	181	10	enhance	enhance	VERB
brj-22715	181	11	furniture	furniture	NOUN
brj-22715	181	12	price	price	NOUN
brj-22715	181	13	determination	determination	NOUN
brj-22715	181	14	enables	enable	VERB
brj-22715	181	15	companies	company	NOUN
brj-22715	181	16	to	to	PART
brj-22715	181	17	analyze	analyze	VERB
brj-22715	181	18	competitor	competitor	NOUN
brj-22715	181	19	prices	price	NOUN
brj-22715	181	20	effectively	effectively	ADV
brj-22715	181	21	.	.	PUNCT
brj-22715	182	1	through	through	ADP
brj-22715	182	2	conducting	conduct	VERB
brj-22715	182	3	thorough	thorough	ADJ
brj-22715	182	4	analyses	analysis	NOUN
brj-22715	182	5	,	,	PUNCT
brj-22715	182	6	companies	company	NOUN
brj-22715	182	7	can	can	AUX
brj-22715	182	8	establish	establish	VERB
brj-22715	182	9	price	price	NOUN
brj-22715	182	10	ranges	range	NOUN
brj-22715	182	11	that	that	PRON
brj-22715	182	12	align	align	VERB
brj-22715	182	13	with	with	ADP
brj-22715	182	14	the	the	DET
brj-22715	182	15	market	market	NOUN
brj-22715	182	16	constraints	constraint	NOUN
brj-22715	182	17	,	,	PUNCT
brj-22715	182	18	resulting	result	VERB
brj-22715	182	19	in	in	ADP
brj-22715	182	20	considerable	considerable	ADJ
brj-22715	182	21	time	time	NOUN
brj-22715	182	22	and	and	CCONJ
brj-22715	182	23	cost	cost	NOUN
brj-22715	182	24	savings	saving	NOUN
brj-22715	182	25	.	.	PUNCT
brj-22715	183	1	moreover	moreover	ADV
brj-22715	183	2	,	,	PUNCT
brj-22715	183	3	the	the	DET
brj-22715	183	4	web	web	NOUN
brj-22715	183	5	mining	mining	NOUN
brj-22715	183	6	approach	approach	NOUN
brj-22715	183	7	could	could	AUX
brj-22715	183	8	enhance	enhance	VERB
brj-22715	183	9	customer	customer	NOUN
brj-22715	183	10	satisfaction	satisfaction	NOUN
brj-22715	183	11	and	and	CCONJ
brj-22715	183	12	engagement	engagement	NOUN
brj-22715	183	13	.	.	PUNCT
brj-22715	184	1	consequently	consequently	ADV
brj-22715	184	2	,	,	PUNCT
brj-22715	184	3	incorporating	incorporate	VERB
brj-22715	184	4	web	web	NOUN
brj-22715	184	5	mining	mining	NOUN
brj-22715	184	6	techniques	technique	NOUN
brj-22715	184	7	in	in	ADP
brj-22715	184	8	the	the	DET
brj-22715	184	9	furniture	furniture	NOUN
brj-22715	184	10	industry	industry	NOUN
brj-22715	184	11	's	's	PART
brj-22715	184	12	pricing	pricing	NOUN
brj-22715	184	13	strategies	strategy	NOUN
brj-22715	184	14	is	be	AUX
brj-22715	184	15	valuable	valuable	ADJ
brj-22715	184	16	for	for	ADP
brj-22715	184	17	gaining	gain	VERB
brj-22715	184	18	a	a	DET
brj-22715	184	19	competitive	competitive	ADJ
brj-22715	184	20	edge	edge	NOUN
brj-22715	184	21	.	.	PUNCT
brj-22715	185	1	in	in	ADP
brj-22715	185	2	future	future	ADJ
brj-22715	185	3	research	research	NOUN
brj-22715	185	4	,	,	PUNCT
brj-22715	185	5	it	it	PRON
brj-22715	185	6	is	be	AUX
brj-22715	185	7	planned	plan	VERB
brj-22715	185	8	to	to	PART
brj-22715	185	9	examine	examine	VERB
brj-22715	185	10	persistent	persistent	ADJ
brj-22715	185	11	disagreements	disagreement	NOUN
brj-22715	185	12	among	among	ADP
brj-22715	185	13	different	different	ADJ
brj-22715	185	14	websites	website	NOUN
brj-22715	185	15	based	base	VERB
brj-22715	185	16	on	on	ADP
brj-22715	185	17	specific	specific	ADJ
brj-22715	185	18	furniture	furniture	NOUN
brj-22715	185	19	features	feature	NOUN
brj-22715	185	20	,	,	PUNCT
brj-22715	185	21	such	such	ADJ
brj-22715	185	22	as	as	ADP
brj-22715	185	23	price	price	NOUN
brj-22715	185	24	.	.	PUNCT
brj-22715	186	1	these	these	DET
brj-22715	186	2	analyses	analysis	NOUN
brj-22715	186	3	can	can	AUX
brj-22715	186	4	provide	provide	VERB
brj-22715	186	5	valuable	valuable	ADJ
brj-22715	186	6	insights	insight	NOUN
brj-22715	186	7	to	to	ADP
brj-22715	186	8	stakeholders	stakeholder	NOUN
brj-22715	186	9	and	and	CCONJ
brj-22715	186	10	relevant	relevant	ADJ
brj-22715	186	11	parties	party	NOUN
brj-22715	186	12	in	in	ADP
brj-22715	186	13	the	the	DET
brj-22715	186	14	industry	industry	NOUN
brj-22715	186	15	,	,	PUNCT
brj-22715	186	16	enabling	enable	VERB
brj-22715	186	17	them	they	PRON
brj-22715	186	18	to	to	PART
brj-22715	186	19	make	make	VERB
brj-22715	186	20	better	well	ADJ
brj-22715	186	21	decisions	decision	NOUN
brj-22715	186	22	and	and	CCONJ
brj-22715	186	23	anticipate	anticipate	VERB
brj-22715	186	24	potential	potential	ADJ
brj-22715	186	25	conflicts	conflict	NOUN
brj-22715	186	26	in	in	ADP
brj-22715	186	27	advance	advance	NOUN
brj-22715	186	28	.	.	PUNCT
brj-22715	187	1	conclusions	conclusion	NOUN
brj-22715	187	2	1	1	X
brj-22715	187	3	.	.	PUNCT
brj-22715	188	1	the	the	DET
brj-22715	188	2	different	different	ADJ
brj-22715	188	3	furniture	furniture	NOUN
brj-22715	188	4	prices	price	NOUN
brj-22715	188	5	were	be	AUX
brj-22715	188	6	reasonably	reasonably	ADV
brj-22715	188	7	yielded	yield	VERB
brj-22715	188	8	and	and	CCONJ
brj-22715	188	9	estimated	estimate	VERB
brj-22715	188	10	through	through	ADP
brj-22715	188	11	web	web	NOUN
brj-22715	188	12	mining	mining	NOUN
brj-22715	188	13	techniques	technique	NOUN
brj-22715	188	14	.	.	PUNCT
brj-22715	189	1	2	2	X
brj-22715	189	2	.	.	X
brj-22715	189	3	two	two	NUM
brj-22715	189	4	distinct	distinct	ADJ
brj-22715	189	5	prediction	prediction	NOUN
brj-22715	189	6	models	model	NOUN
brj-22715	189	7	were	be	AUX
brj-22715	189	8	implemented	implement	VERB
brj-22715	189	9	utilizing	utilize	VERB
brj-22715	189	10	the	the	DET
brj-22715	189	11	deep	deep	ADJ
brj-22715	189	12	learning	learning	NOUN
brj-22715	189	13	(	(	PUNCT
brj-22715	189	14	dl	dl	NOUN
brj-22715	189	15	)	)	PUNCT
brj-22715	189	16	and	and	CCONJ
brj-22715	189	17	random	random	ADJ
brj-22715	189	18	forest	forest	NOUN
brj-22715	189	19	(	(	PUNCT
brj-22715	189	20	rf	rf	NOUN
brj-22715	189	21	)	)	PUNCT
brj-22715	189	22	algorithms	algorithm	NOUN
brj-22715	189	23	,	,	PUNCT
brj-22715	189	24	and	and	CCONJ
brj-22715	189	25	their	their	PRON
brj-22715	189	26	performances	performance	NOUN
brj-22715	189	27	were	be	AUX
brj-22715	189	28	evaluated	evaluate	VERB
brj-22715	189	29	by	by	ADP
brj-22715	189	30	employing	employ	VERB
brj-22715	189	31	r2	r2	PROPN
brj-22715	189	32	and	and	CCONJ
brj-22715	189	33	root	root	NOUN
brj-22715	189	34	mean	mean	VERB
brj-22715	189	35	squared	square	VERB
brj-22715	189	36	error	error	NOUN
brj-22715	189	37	(	(	PUNCT
brj-22715	189	38	rmse	rmse	ADJ
brj-22715	189	39	)	)	PUNCT
brj-22715	189	40	metrics	metric	NOUN
brj-22715	189	41	.	.	PUNCT
brj-22715	190	1	in	in	ADP
brj-22715	190	2	the	the	DET
brj-22715	190	3	testing	testing	NOUN
brj-22715	190	4	phase	phase	NOUN
brj-22715	190	5	,	,	PUNCT
brj-22715	190	6	the	the	DET
brj-22715	190	7	rf	rf	ADJ
brj-22715	190	8	algorithm	algorithm	NOUN
brj-22715	190	9	exhibited	exhibit	VERB
brj-22715	190	10	superior	superior	ADJ
brj-22715	190	11	performance	performance	NOUN
brj-22715	190	12	,	,	PUNCT
brj-22715	190	13	achieving	achieve	VERB
brj-22715	190	14	an	an	DET
brj-22715	190	15	r2	r2	NOUN
brj-22715	190	16	value	value	NOUN
brj-22715	190	17	of	of	ADP
brj-22715	190	18	0.892	0.892	NUM
brj-22715	190	19	and	and	CCONJ
brj-22715	190	20	0.939	0.939	NUM
brj-22715	190	21	for	for	ADP
brj-22715	190	22	bookcase	bookcase	NOUN
brj-22715	190	23	and	and	CCONJ
brj-22715	190	24	dresser	dresser	NOUN
brj-22715	190	25	furniture	furniture	NOUN
brj-22715	190	26	,	,	PUNCT
brj-22715	190	27	respectively	respectively	ADV
brj-22715	190	28	.	.	PUNCT
brj-22715	191	1	3	3	X
brj-22715	191	2	.	.	X
brj-22715	191	3	in	in	ADP
brj-22715	191	4	the	the	DET
brj-22715	191	5	predictions	prediction	NOUN
brj-22715	191	6	made	make	VERB
brj-22715	191	7	by	by	ADP
brj-22715	191	8	dl	dl	PROPN
brj-22715	191	9	and	and	CCONJ
brj-22715	191	10	rf	rf	PROPN
brj-22715	191	11	algorithms	algorithm	NOUN
brj-22715	191	12	,	,	PUNCT
brj-22715	191	13	a	a	DET
brj-22715	191	14	higher	high	ADJ
brj-22715	191	15	success	success	NOUN
brj-22715	191	16	rate	rate	NOUN
brj-22715	191	17	was	be	AUX
brj-22715	191	18	determined	determine	VERB
brj-22715	191	19	in	in	ADP
brj-22715	191	20	dresser	dresser	NOUN
brj-22715	191	21	furniture	furniture	NOUN
brj-22715	191	22	than	than	ADP
brj-22715	191	23	in	in	ADP
brj-22715	191	24	bookcase	bookcase	NOUN
brj-22715	191	25	furniture	furniture	NOUN
brj-22715	191	26	.	.	PUNCT
brj-22715	192	1	peer	peer	NOUN
brj-22715	192	2	-	-	PUNCT
brj-22715	192	3	reviewed	review	VERB
brj-22715	192	4	article	article	NOUN
brj-22715	192	5	bioresources.com	bioresources.com	X
brj-22715	192	6	bardak	bardak	PROPN
brj-22715	192	7	et	et	PROPN
brj-22715	192	8	al	al	PROPN
brj-22715	192	9	.	.	PROPN
brj-22715	192	10	(	(	PUNCT
brj-22715	192	11	2023	2023	NUM
brj-22715	192	12	)	)	PUNCT
brj-22715	192	13	.	.	PUNCT
brj-22715	193	1	“	"	PUNCT
brj-22715	193	2	furniture	furniture	NOUN
brj-22715	193	3	prices	price	NOUN
brj-22715	193	4	by	by	ADP
brj-22715	193	5	web	web	NOUN
brj-22715	193	6	mining	mining	NOUN
brj-22715	193	7	,	,	PUNCT
brj-22715	193	8	”	"	PUNCT
brj-22715	193	9	bioresources	bioresource	NOUN
brj-22715	193	10	18(4	18(4	NUM
brj-22715	193	11	)	)	PUNCT
brj-22715	193	12	,	,	PUNCT
brj-22715	193	13	7412	7412	NUM
brj-22715	193	14	-	-	SYM
brj-22715	193	15	7427	7427	NUM
brj-22715	193	16	.	.	PUNCT
brj-22715	193	17	7425	7425	NUM
brj-22715	193	18	4	4	NUM
brj-22715	193	19	.	.	PUNCT
brj-22715	193	20	according	accord	VERB
brj-22715	193	21	to	to	ADP
brj-22715	193	22	the	the	DET
brj-22715	193	23	rf	rf	ADJ
brj-22715	193	24	algorithm	algorithm	NOUN
brj-22715	193	25	,	,	PUNCT
brj-22715	193	26	the	the	DET
brj-22715	193	27	main	main	ADJ
brj-22715	193	28	factors	factor	NOUN
brj-22715	193	29	that	that	PRON
brj-22715	193	30	affect	affect	VERB
brj-22715	193	31	the	the	DET
brj-22715	193	32	prices	price	NOUN
brj-22715	193	33	of	of	ADP
brj-22715	193	34	furniture	furniture	NOUN
brj-22715	193	35	are	be	AUX
brj-22715	193	36	width	width	ADJ
brj-22715	193	37	,	,	PUNCT
brj-22715	193	38	height	height	NOUN
brj-22715	193	39	,	,	PUNCT
brj-22715	193	40	depth	depth	NOUN
brj-22715	193	41	,	,	PUNCT
brj-22715	193	42	and	and	CCONJ
brj-22715	193	43	color	color	NOUN
brj-22715	193	44	.	.	PUNCT
brj-22715	194	1	5	5	X
brj-22715	194	2	.	.	X
brj-22715	194	3	furniture	furniture	NOUN
brj-22715	194	4	companies	company	NOUN
brj-22715	194	5	can	can	AUX
brj-22715	194	6	enhance	enhance	VERB
brj-22715	194	7	their	their	PRON
brj-22715	194	8	pricing	pricing	NOUN
brj-22715	194	9	optimization	optimization	NOUN
brj-22715	194	10	by	by	ADP
brj-22715	194	11	conducting	conduct	VERB
brj-22715	194	12	competitor	competitor	NOUN
brj-22715	194	13	analysis	analysis	NOUN
brj-22715	194	14	.	.	PUNCT
brj-22715	195	1	in	in	ADP
brj-22715	195	2	this	this	DET
brj-22715	195	3	regard	regard	NOUN
brj-22715	195	4	,	,	PUNCT
brj-22715	195	5	web	web	NOUN
brj-22715	195	6	mining	mining	NOUN
brj-22715	195	7	emerges	emerge	NOUN
brj-22715	195	8	as	as	ADP
brj-22715	195	9	a	a	DET
brj-22715	195	10	promising	promising	ADJ
brj-22715	195	11	alternative	alternative	NOUN
brj-22715	195	12	to	to	ADP
brj-22715	195	13	conventional	conventional	ADJ
brj-22715	195	14	methodologies	methodology	NOUN
brj-22715	195	15	,	,	PUNCT
brj-22715	195	16	offering	offer	VERB
brj-22715	195	17	significant	significant	ADJ
brj-22715	195	18	time	time	NOUN
brj-22715	195	19	and	and	CCONJ
brj-22715	195	20	cost	cost	VERB
brj-22715	195	21	savings	saving	NOUN
brj-22715	195	22	for	for	ADP
brj-22715	195	23	these	these	DET
brj-22715	195	24	companies	company	NOUN
brj-22715	195	25	.	.	PUNCT
brj-22715	196	1	references	reference	NOUN
brj-22715	196	2	cited	cite	VERB
brj-22715	196	3	agwu	agwu	PROPN
brj-22715	196	4	,	,	PUNCT
brj-22715	196	5	o.	o.	PROPN
brj-22715	196	6	e.	e.	PROPN
brj-22715	196	7	,	,	PUNCT
brj-22715	196	8	akpabio	akpabio	PROPN
brj-22715	196	9	,	,	PUNCT
brj-22715	196	10	j.	j.	PROPN
brj-22715	196	11	u.	u.	PROPN
brj-22715	196	12	,	,	PUNCT
brj-22715	196	13	and	and	CCONJ
brj-22715	196	14	dosunmu	dosunmu	NOUN
brj-22715	196	15	,	,	PUNCT
brj-22715	196	16	a.	a.	NOUN
brj-22715	196	17	(	(	PUNCT
brj-22715	196	18	2020	2020	NUM
brj-22715	196	19	)	)	PUNCT
brj-22715	196	20	.	.	PUNCT
brj-22715	197	1	“	"	PUNCT
brj-22715	197	2	artificial	artificial	ADJ
brj-22715	197	3	neural	neural	ADJ
brj-22715	197	4	network	network	NOUN
brj-22715	197	5	model	model	NOUN
brj-22715	197	6	for	for	ADP
brj-22715	197	7	predicting	predict	VERB
brj-22715	197	8	the	the	DET
brj-22715	197	9	density	density	NOUN
brj-22715	197	10	of	of	ADP
brj-22715	197	11	oil	oil	NOUN
brj-22715	197	12	-	-	PUNCT
brj-22715	197	13	based	base	VERB
brj-22715	197	14	muds	mud	NOUN
brj-22715	197	15	in	in	ADP
brj-22715	197	16	high	high	ADJ
brj-22715	197	17	-	-	PUNCT
brj-22715	197	18	temperature	temperature	NOUN
brj-22715	197	19	high	high	ADJ
brj-22715	197	20	-	-	PUNCT
brj-22715	197	21	pressure	pressure	NOUN
brj-22715	197	22	wells	well	NOUN
brj-22715	197	23	,	,	PUNCT
brj-22715	197	24	”	"	PUNCT
brj-22715	197	25	journal	journal	NOUN
brj-22715	197	26	of	of	ADP
brj-22715	197	27	petroleum	petroleum	NOUN
brj-22715	197	28	exploration	exploration	NOUN
brj-22715	197	29	and	and	CCONJ
brj-22715	197	30	production	production	NOUN
brj-22715	197	31	technology	technology	NOUN
brj-22715	197	32	10(3	10(3	NOUN
brj-22715	197	33	)	)	PUNCT
brj-22715	197	34	,	,	PUNCT
brj-22715	197	35	1081	1081	NUM
brj-22715	197	36	-	-	SYM
brj-22715	197	37	1095	1095	NUM
brj-22715	197	38	.	.	PUNCT
brj-22715	198	1	doi	doi	NOUN
brj-22715	198	2	:	:	PUNCT
brj-22715	198	3	10.1007	10.1007	NUM
brj-22715	198	4	/	/	SYM
brj-22715	198	5	s13202	s13202	NOUN
brj-22715	198	6	-	-	PUNCT
brj-22715	198	7	019	019	NUM
brj-22715	198	8	-	-	PUNCT
brj-22715	198	9	00802	00802	NUM
brj-22715	198	10	-	-	SYM
brj-22715	198	11	6	6	NUM
brj-22715	198	12	bardak	bardak	NOUN
brj-22715	198	13	,	,	PUNCT
brj-22715	198	14	s.	s.	PROPN
brj-22715	198	15	,	,	PUNCT
brj-22715	198	16	bardak	bardak	PROPN
brj-22715	198	17	,	,	PUNCT
brj-22715	198	18	t.	t.	PROPN
brj-22715	198	19	,	,	PUNCT
brj-22715	198	20	peker	peker	NOUN
brj-22715	198	21	,	,	PUNCT
brj-22715	198	22	h.	h.	PROPN
brj-22715	198	23	,	,	PUNCT
brj-22715	198	24	sözen	sözen	PROPN
brj-22715	198	25	,	,	PUNCT
brj-22715	198	26	e.	e.	PROPN
brj-22715	198	27	,	,	PUNCT
brj-22715	198	28	and	and	CCONJ
brj-22715	198	29	çabuk	çabuk	NOUN
brj-22715	198	30	,	,	PUNCT
brj-22715	198	31	y.	y.	NOUN
brj-22715	198	32	(	(	PUNCT
brj-22715	198	33	2021	2021	NUM
brj-22715	198	34	)	)	PUNCT
brj-22715	198	35	.	.	PUNCT
brj-22715	199	1	“	"	PUNCT
brj-22715	199	2	predicting	predict	VERB
brj-22715	199	3	effects	effect	NOUN
brj-22715	199	4	of	of	ADP
brj-22715	199	5	selected	select	VERB
brj-22715	199	6	impregnation	impregnation	NOUN
brj-22715	199	7	processes	process	NOUN
brj-22715	199	8	on	on	ADP
brj-22715	199	9	the	the	DET
brj-22715	199	10	observed	observed	ADJ
brj-22715	199	11	bending	bending	NOUN
brj-22715	199	12	strength	strength	NOUN
brj-22715	199	13	of	of	ADP
brj-22715	199	14	wood	wood	NOUN
brj-22715	199	15	,	,	PUNCT
brj-22715	199	16	with	with	ADP
brj-22715	199	17	use	use	NOUN
brj-22715	199	18	of	of	ADP
brj-22715	199	19	data	datum	NOUN
brj-22715	199	20	mining	mining	NOUN
brj-22715	199	21	models	model	NOUN
brj-22715	199	22	,	,	PUNCT
brj-22715	199	23	”	"	PUNCT
brj-22715	199	24	bioresources	bioresource	NOUN
brj-22715	199	25	16(3	16(3	NUM
brj-22715	199	26	)	)	PUNCT
brj-22715	199	27	,	,	PUNCT
brj-22715	199	28	4891	4891	NUM
brj-22715	199	29	-	-	SYM
brj-22715	199	30	4904	4904	NUM
brj-22715	199	31	.	.	PUNCT
brj-22715	200	1	doi	doi	NOUN
brj-22715	200	2	:	:	PUNCT
brj-22715	200	3	10.15376	10.15376	NUM
brj-22715	200	4	/	/	SYM
brj-22715	200	5	biores.16.3.4891	biores.16.3.4891	PROPN
brj-22715	200	6	-	-	PUNCT
brj-22715	200	7	4904	4904	NUM
brj-22715	200	8	brauner	brauner	NOUN
brj-22715	200	9	,	,	PUNCT
brj-22715	200	10	t.	t.	PROPN
brj-22715	200	11	,	,	PUNCT
brj-22715	200	12	heumann	heumann	NOUN
brj-22715	200	13	,	,	PUNCT
brj-22715	200	14	m.	m.	NOUN
brj-22715	200	15	,	,	PUNCT
brj-22715	200	16	kraschewski	kraschewski	NOUN
brj-22715	200	17	,	,	PUNCT
brj-22715	200	18	t.	t.	PROPN
brj-22715	200	19	,	,	PUNCT
brj-22715	200	20	prahlow	prahlow	NOUN
brj-22715	200	21	,	,	PUNCT
brj-22715	200	22	o.	o.	INTJ
brj-22715	200	23	,	,	PUNCT
brj-22715	200	24	rehse	rehse	PROPN
brj-22715	200	25	,	,	PUNCT
brj-22715	200	26	j.	j.	PROPN
brj-22715	200	27	,	,	PUNCT
brj-22715	200	28	kiehne	kiehne	PROPN
brj-22715	200	29	,	,	PUNCT
brj-22715	200	30	c.	c.	NOUN
brj-22715	200	31	,	,	PUNCT
brj-22715	200	32	and	and	CCONJ
brj-22715	200	33	breitner	breitner	NOUN
brj-22715	200	34	,	,	PUNCT
brj-22715	200	35	m.	m.	NOUN
brj-22715	200	36	h.	h.	PROPN
brj-22715	200	37	(	(	PUNCT
brj-22715	200	38	2022	2022	NUM
brj-22715	200	39	)	)	PUNCT
brj-22715	200	40	.	.	PUNCT
brj-22715	201	1	“	"	PUNCT
brj-22715	201	2	web	web	NOUN
brj-22715	201	3	content	content	NOUN
brj-22715	201	4	mining	mining	NOUN
brj-22715	201	5	analysis	analysis	NOUN
brj-22715	201	6	of	of	ADP
brj-22715	201	7	e	e	NOUN
brj-22715	201	8	-	-	NOUN
brj-22715	201	9	scooter	scooter	ADJ
brj-22715	201	10	crash	crash	NOUN
brj-22715	201	11	causes	cause	NOUN
brj-22715	201	12	and	and	CCONJ
brj-22715	201	13	implications	implication	NOUN
brj-22715	201	14	in	in	ADP
brj-22715	201	15	germany	germany	PROPN
brj-22715	201	16	,	,	PUNCT
brj-22715	201	17	”	"	PUNCT
brj-22715	201	18	accident	accident	NOUN
brj-22715	201	19	analysis	analysis	NOUN
brj-22715	201	20	and	and	CCONJ
brj-22715	201	21	prevention	prevention	NOUN
brj-22715	201	22	178	178	NUM
brj-22715	201	23	,	,	PUNCT
brj-22715	201	24	article	article	NOUN
brj-22715	201	25	i	i	PROPN
brj-22715	201	26	d	d	PROPN
brj-22715	201	27	106833	106833	NUM
brj-22715	201	28	.	.	PUNCT
brj-22715	202	1	doi	doi	NOUN
brj-22715	202	2	:	:	PUNCT
brj-22715	202	3	10.1016	10.1016	NUM
brj-22715	202	4	/	/	SYM
brj-22715	202	5	j.aap.2022.106833	j.aap.2022.106833	PROPN
brj-22715	202	6	breiman	breiman	NOUN
brj-22715	202	7	,	,	PUNCT
brj-22715	202	8	l.	l.	PROPN
brj-22715	202	9	(	(	PUNCT
brj-22715	202	10	2001	2001	NUM
brj-22715	202	11	)	)	PUNCT
brj-22715	202	12	.	.	PUNCT
brj-22715	203	1	“	"	PUNCT
brj-22715	203	2	random	random	ADJ
brj-22715	203	3	forests	forest	NOUN
brj-22715	203	4	,	,	PUNCT
brj-22715	203	5	”	"	PUNCT
brj-22715	203	6	machine	machine	NOUN
brj-22715	203	7	learning	learning	PROPN
brj-22715	203	8	45(1	45(1	NOUN
brj-22715	203	9	)	)	PUNCT
brj-22715	203	10	,	,	PUNCT
brj-22715	203	11	5	5	NUM
brj-22715	203	12	-	-	SYM
brj-22715	203	13	32	32	NUM
brj-22715	203	14	.	.	PUNCT
brj-22715	204	1	doi	doi	NOUN
brj-22715	204	2	:	:	PUNCT
brj-22715	204	3	10.1023	10.1023	NUM
brj-22715	204	4	/	/	SYM
brj-22715	204	5	a:1010933404324	a:1010933404324	PROPN
brj-22715	204	6	chen	chen	PROPN
brj-22715	204	7	,	,	PUNCT
brj-22715	204	8	y.	y.	PROPN
brj-22715	204	9	,	,	PUNCT
brj-22715	204	10	zou	zou	PROPN
brj-22715	204	11	,	,	PUNCT
brj-22715	204	12	y.	y.	PROPN
brj-22715	204	13	,	,	PUNCT
brj-22715	204	14	zhou	zhou	PROPN
brj-22715	204	15	,	,	PUNCT
brj-22715	204	16	y.	y.	PROPN
brj-22715	204	17	,	,	PUNCT
brj-22715	204	18	and	and	CCONJ
brj-22715	204	19	zhang	zhang	PROPN
brj-22715	204	20	,	,	PUNCT
brj-22715	204	21	c.	c.	PROPN
brj-22715	204	22	(	(	PUNCT
brj-22715	204	23	2016	2016	NUM
brj-22715	204	24	)	)	PUNCT
brj-22715	204	25	.	.	PUNCT
brj-22715	205	1	“	"	PUNCT
brj-22715	205	2	multi	multi	ADJ
brj-22715	205	3	-	-	ADJ
brj-22715	205	4	step	step	NOUN
brj-22715	205	5	-	-	PUNCT
brj-22715	205	6	ahead	ahead	NOUN
brj-22715	205	7	crude	crude	ADJ
brj-22715	205	8	oil	oil	NOUN
brj-22715	205	9	price	price	NOUN
brj-22715	205	10	forecasting	forecasting	NOUN
brj-22715	205	11	based	base	VERB
brj-22715	205	12	on	on	ADP
brj-22715	205	13	grey	grey	PROPN
brj-22715	205	14	wave	wave	NOUN
brj-22715	205	15	forecasting	forecasting	NOUN
brj-22715	205	16	method	method	NOUN
brj-22715	205	17	,	,	PUNCT
brj-22715	205	18	”	"	PUNCT
brj-22715	205	19	procedia	procedia	NOUN
brj-22715	205	20	computer	computer	NOUN
brj-22715	205	21	science	science	NOUN
brj-22715	205	22	91	91	NUM
brj-22715	205	23	,	,	PUNCT
brj-22715	205	24	1050	1050	NUM
brj-22715	205	25	-	-	SYM
brj-22715	205	26	1056	1056	NUM
brj-22715	205	27	.	.	PUNCT
brj-22715	206	1	doi	doi	NOUN
brj-22715	206	2	:	:	PUNCT
brj-22715	206	3	10.1016	10.1016	NUM
brj-22715	206	4	/	/	SYM
brj-22715	206	5	j.procs.2016.07.147	j.procs.2016.07.147	PROPN
brj-22715	206	6	duan	duan	PROPN
brj-22715	206	7	,	,	PUNCT
brj-22715	206	8	h.	h.	PROPN
brj-22715	206	9	,	,	PUNCT
brj-22715	206	10	and	and	CCONJ
brj-22715	206	11	liu	liu	PROPN
brj-22715	206	12	,	,	PUNCT
brj-22715	206	13	y.	y.	PROPN
brj-22715	206	14	(	(	PUNCT
brj-22715	206	15	2021	2021	NUM
brj-22715	206	16	)	)	PUNCT
brj-22715	206	17	.	.	PUNCT
brj-22715	207	1	“	"	PUNCT
brj-22715	207	2	research	research	NOUN
brj-22715	207	3	on	on	ADP
brj-22715	207	4	a	a	DET
brj-22715	207	5	grey	grey	ADJ
brj-22715	207	6	prediction	prediction	NOUN
brj-22715	207	7	model	model	NOUN
brj-22715	207	8	based	base	VERB
brj-22715	207	9	on	on	ADP
brj-22715	207	10	energy	energy	NOUN
brj-22715	207	11	prices	price	NOUN
brj-22715	207	12	and	and	CCONJ
brj-22715	207	13	its	its	PRON
brj-22715	207	14	applications	application	NOUN
brj-22715	207	15	,	,	PUNCT
brj-22715	207	16	”	"	PUNCT
brj-22715	207	17	computers	computer	NOUN
brj-22715	207	18	&	&	CCONJ
brj-22715	207	19	industrial	industrial	ADJ
brj-22715	207	20	engineering	engineering	PROPN
brj-22715	207	21	162	162	NUM
brj-22715	207	22	,	,	PUNCT
brj-22715	207	23	article	article	NOUN
brj-22715	207	24	i	i	PROPN
brj-22715	207	25	d	d	PROPN
brj-22715	207	26	107729	107729	NUM
brj-22715	207	27	.	.	PUNCT
brj-22715	208	1	doi	doi	NOUN
brj-22715	208	2	:	:	PUNCT
brj-22715	208	3	10.1016	10.1016	NUM
brj-22715	208	4	/	/	SYM
brj-22715	208	5	j.cie.2021.107729	j.cie.2021.107729	PROPN
brj-22715	208	6	emsley	emsley	NOUN
brj-22715	208	7	,	,	PUNCT
brj-22715	208	8	m.	m.	PROPN
brj-22715	208	9	w.	w.	PROPN
brj-22715	208	10	,	,	PUNCT
brj-22715	208	11	lowe	lowe	PROPN
brj-22715	208	12	,	,	PUNCT
brj-22715	208	13	d.	d.	PROPN
brj-22715	208	14	j.	j.	PROPN
brj-22715	208	15	,	,	PUNCT
brj-22715	208	16	duff	duff	PROPN
brj-22715	208	17	,	,	PUNCT
brj-22715	208	18	a.	a.	PROPN
brj-22715	208	19	r.	r.	PROPN
brj-22715	208	20	,	,	PUNCT
brj-22715	208	21	harding	harding	PROPN
brj-22715	208	22	,	,	PUNCT
brj-22715	208	23	a.	a.	NOUN
brj-22715	208	24	,	,	PUNCT
brj-22715	208	25	and	and	CCONJ
brj-22715	208	26	hickson	hickson	PROPN
brj-22715	208	27	,	,	PUNCT
brj-22715	208	28	a.	a.	NOUN
brj-22715	208	29	(	(	PUNCT
brj-22715	208	30	2002	2002	NUM
brj-22715	208	31	)	)	PUNCT
brj-22715	208	32	.	.	PUNCT
brj-22715	209	1	“	"	PUNCT
brj-22715	209	2	data	datum	NOUN
brj-22715	209	3	modelling	modelling	NOUN
brj-22715	209	4	and	and	CCONJ
brj-22715	209	5	the	the	DET
brj-22715	209	6	application	application	NOUN
brj-22715	209	7	of	of	ADP
brj-22715	209	8	a	a	DET
brj-22715	209	9	neural	neural	ADJ
brj-22715	209	10	network	network	NOUN
brj-22715	209	11	approach	approach	NOUN
brj-22715	209	12	to	to	ADP
brj-22715	209	13	the	the	DET
brj-22715	209	14	prediction	prediction	NOUN
brj-22715	209	15	of	of	ADP
brj-22715	209	16	total	total	ADJ
brj-22715	209	17	construction	construction	NOUN
brj-22715	209	18	costs	cost	NOUN
brj-22715	209	19	,	,	PUNCT
brj-22715	209	20	”	"	PUNCT
brj-22715	209	21	construction	construction	NOUN
brj-22715	209	22	management	management	NOUN
brj-22715	209	23	and	and	CCONJ
brj-22715	209	24	economics	economic	NOUN
brj-22715	209	25	20(6	20(6	NUM
brj-22715	209	26	)	)	PUNCT
brj-22715	209	27	,	,	PUNCT
brj-22715	209	28	465	465	NUM
brj-22715	209	29	-	-	SYM
brj-22715	209	30	472	472	NUM
brj-22715	209	31	.	.	PUNCT
brj-22715	210	1	doi	doi	NOUN
brj-22715	210	2	:	:	PUNCT
brj-22715	210	3	10.1080/01446190210151050	10.1080/01446190210151050	NUM
brj-22715	210	4	furtney	furtney	NOUN
brj-22715	210	5	,	,	PUNCT
brj-22715	210	6	j.	j.	PROPN
brj-22715	210	7	k.	k.	PROPN
brj-22715	210	8	,	,	PUNCT
brj-22715	210	9	thielsen	thielsen	PROPN
brj-22715	210	10	,	,	PUNCT
brj-22715	210	11	c.	c.	NOUN
brj-22715	210	12	,	,	PUNCT
brj-22715	210	13	fu	fu	PROPN
brj-22715	210	14	,	,	PUNCT
brj-22715	210	15	w.	w.	PROPN
brj-22715	210	16	,	,	PUNCT
brj-22715	210	17	and	and	CCONJ
brj-22715	210	18	le	le	X
brj-22715	210	19	goc	goc	PROPN
brj-22715	210	20	,	,	PUNCT
brj-22715	210	21	r.	r.	PROPN
brj-22715	210	22	(	(	PUNCT
brj-22715	210	23	2022	2022	NUM
brj-22715	210	24	)	)	PUNCT
brj-22715	210	25	.	.	PUNCT
brj-22715	211	1	“	"	PUNCT
brj-22715	211	2	surrogate	surrogate	ADJ
brj-22715	211	3	models	model	NOUN
brj-22715	211	4	in	in	ADP
brj-22715	211	5	rock	rock	NOUN
brj-22715	211	6	and	and	CCONJ
brj-22715	211	7	soil	soil	NOUN
brj-22715	211	8	mechanics	mechanic	NOUN
brj-22715	211	9	:	:	PUNCT
brj-22715	211	10	integrating	integrate	VERB
brj-22715	211	11	numerical	numerical	ADJ
brj-22715	211	12	modeling	modeling	NOUN
brj-22715	211	13	and	and	CCONJ
brj-22715	211	14	machine	machine	NOUN
brj-22715	211	15	learning	learning	NOUN
brj-22715	211	16	,	,	PUNCT
brj-22715	211	17	”	"	PUNCT
brj-22715	211	18	rock	rock	NOUN
brj-22715	211	19	mechanics	mechanic	NOUN
brj-22715	211	20	and	and	CCONJ
brj-22715	211	21	rock	rock	NOUN
brj-22715	211	22	engineering	engineering	NOUN
brj-22715	211	23	55(5	55(5	PROPN
brj-22715	211	24	)	)	PUNCT
brj-22715	211	25	,	,	PUNCT
brj-22715	211	26	2845	2845	NUM
brj-22715	211	27	-	-	SYM
brj-22715	211	28	2859	2859	NUM
brj-22715	211	29	.	.	PUNCT
brj-22715	212	1	doi	doi	NOUN
brj-22715	212	2	:	:	PUNCT
brj-22715	212	3	10.1007	10.1007	NUM
brj-22715	212	4	/	/	SYM
brj-22715	212	5	s00603	s00603	NOUN
brj-22715	212	6	-	-	PUNCT
brj-22715	212	7	02102720	02102720	NUM
brj-22715	212	8	-	-	SYM
brj-22715	212	9	8	8	NUM
brj-22715	212	10	ghorbanzadeh	ghorbanzadeh	NOUN
brj-22715	212	11	,	,	PUNCT
brj-22715	212	12	o.	o.	INTJ
brj-22715	212	13	,	,	PUNCT
brj-22715	212	14	blaschke	blaschke	ADJ
brj-22715	212	15	,	,	PUNCT
brj-22715	212	16	t.	t.	PROPN
brj-22715	212	17	,	,	PUNCT
brj-22715	212	18	gholamnia	gholamnia	NOUN
brj-22715	212	19	,	,	PUNCT
brj-22715	212	20	k.	k.	PROPN
brj-22715	212	21	,	,	PUNCT
brj-22715	212	22	meena	meena	PROPN
brj-22715	212	23	,	,	PUNCT
brj-22715	212	24	s.	s.	PROPN
brj-22715	212	25	r.	r.	PROPN
brj-22715	212	26	,	,	PUNCT
brj-22715	212	27	tiede	tiede	PROPN
brj-22715	212	28	,	,	PUNCT
brj-22715	212	29	d.	d.	PROPN
brj-22715	212	30	,	,	PUNCT
brj-22715	212	31	and	and	CCONJ
brj-22715	212	32	aryal	aryal	PROPN
brj-22715	212	33	,	,	PUNCT
brj-22715	212	34	j.	j.	PROPN
brj-22715	212	35	(	(	PUNCT
brj-22715	212	36	2019	2019	NUM
brj-22715	212	37	)	)	PUNCT
brj-22715	212	38	.	.	PUNCT
brj-22715	213	1	“	"	PUNCT
brj-22715	213	2	evaluation	evaluation	NOUN
brj-22715	213	3	of	of	ADP
brj-22715	213	4	different	different	ADJ
brj-22715	213	5	machine	machine	NOUN
brj-22715	213	6	learning	learn	VERB
brj-22715	213	7	methods	method	NOUN
brj-22715	213	8	and	and	CCONJ
brj-22715	213	9	deep	deep	ADJ
brj-22715	213	10	-	-	PUNCT
brj-22715	213	11	learning	learn	VERB
brj-22715	213	12	convolutional	convolutional	ADJ
brj-22715	213	13	neural	neural	ADJ
brj-22715	213	14	networks	network	NOUN
brj-22715	213	15	for	for	ADP
brj-22715	213	16	landslide	landslide	NOUN
brj-22715	213	17	detection	detection	NOUN
brj-22715	213	18	,	,	PUNCT
brj-22715	213	19	”	"	PUNCT
brj-22715	213	20	remote	remote	ADJ
brj-22715	213	21	sensing	sensing	NOUN
brj-22715	213	22	11(2	11(2	NUM
brj-22715	213	23	)	)	PUNCT
brj-22715	213	24	,	,	PUNCT
brj-22715	213	25	article	article	NOUN
brj-22715	213	26	196	196	NUM
brj-22715	213	27	.	.	PUNCT
brj-22715	214	1	doi	doi	NOUN
brj-22715	214	2	:	:	PUNCT
brj-22715	214	3	10.3390	10.3390	NUM
brj-22715	214	4	/	/	SYM
brj-22715	214	5	rs11020196	rs11020196	NOUN
brj-22715	214	6	hassim	hassim	NOUN
brj-22715	214	7	,	,	PUNCT
brj-22715	214	8	s.	s.	PROPN
brj-22715	214	9	,	,	PUNCT
brj-22715	214	10	muniandy	muniandy	PROPN
brj-22715	214	11	,	,	PUNCT
brj-22715	214	12	r.	r.	PROPN
brj-22715	214	13	,	,	PUNCT
brj-22715	214	14	alias	alia	NOUN
brj-22715	214	15	,	,	PUNCT
brj-22715	214	16	a.	a.	NOUN
brj-22715	214	17	h.	h.	PROPN
brj-22715	214	18	,	,	PUNCT
brj-22715	214	19	and	and	CCONJ
brj-22715	214	20	abdullah	abdullah	PROPN
brj-22715	214	21	,	,	PUNCT
brj-22715	214	22	p.	p.	NOUN
brj-22715	214	23	(	(	PUNCT
brj-22715	214	24	2018	2018	NUM
brj-22715	214	25	)	)	PUNCT
brj-22715	214	26	.	.	PUNCT
brj-22715	215	1	“	"	PUNCT
brj-22715	215	2	construction	construction	NOUN
brj-22715	215	3	tender	tender	NOUN
brj-22715	215	4	price	price	NOUN
brj-22715	215	5	estimation	estimation	NOUN
brj-22715	215	6	standardization	standardization	NOUN
brj-22715	215	7	(	(	PUNCT
brj-22715	215	8	tpes	tpe	NOUN
brj-22715	215	9	)	)	PUNCT
brj-22715	215	10	in	in	ADP
brj-22715	215	11	malaysia	malaysia	PROPN
brj-22715	215	12	,	,	PUNCT
brj-22715	215	13	”	"	PUNCT
brj-22715	215	14	engineering	engineering	NOUN
brj-22715	215	15	,	,	PUNCT
brj-22715	215	16	construction	construction	NOUN
brj-22715	215	17	and	and	CCONJ
brj-22715	215	18	architectural	architectural	ADJ
brj-22715	215	19	management	management	NOUN
brj-22715	215	20	25(3	25(3	NUM
brj-22715	215	21	)	)	PUNCT
brj-22715	215	22	,	,	PUNCT
brj-22715	215	23	443	443	NUM
brj-22715	215	24	-	-	SYM
brj-22715	215	25	457	457	NUM
brj-22715	215	26	.	.	PUNCT
brj-22715	216	1	doi	doi	NOUN
brj-22715	216	2	:	:	PUNCT
brj-22715	216	3	10.1108	10.1108	NUM
brj-22715	216	4	/	/	SYM
brj-22715	216	5	ecam-09	ecam-09	VERB
brj-22715	216	6	-	-	PUNCT
brj-22715	216	7	2016	2016	NUM
brj-22715	216	8	-	-	PUNCT
brj-22715	216	9	0215	0215	NUM
brj-22715	216	10	he	he	PRON
brj-22715	216	11	,	,	PUNCT
brj-22715	216	12	y.	y.	PROPN
brj-22715	216	13	,	,	PUNCT
brj-22715	216	14	chu	chu	PROPN
brj-22715	216	15	,	,	PUNCT
brj-22715	216	16	y.	y.	PROPN
brj-22715	216	17	,	,	PUNCT
brj-22715	216	18	song	song	NOUN
brj-22715	216	19	,	,	PUNCT
brj-22715	216	20	y.	y.	PROPN
brj-22715	216	21	,	,	PUNCT
brj-22715	216	22	liu	liu	PROPN
brj-22715	216	23	,	,	PUNCT
brj-22715	216	24	m.	m.	NOUN
brj-22715	216	25	,	,	PUNCT
brj-22715	216	26	shi	shi	PROPN
brj-22715	216	27	,	,	PUNCT
brj-22715	216	28	s.	s.	PROPN
brj-22715	216	29	,	,	PUNCT
brj-22715	216	30	and	and	CCONJ
brj-22715	216	31	chen	chen	PROPN
brj-22715	216	32	,	,	PUNCT
brj-22715	216	33	x.	x.	NOUN
brj-22715	216	34	(	(	PUNCT
brj-22715	216	35	2022	2022	NUM
brj-22715	216	36	)	)	PUNCT
brj-22715	216	37	.	.	PUNCT
brj-22715	217	1	“	"	PUNCT
brj-22715	217	2	analysis	analysis	NOUN
brj-22715	217	3	of	of	ADP
brj-22715	217	4	design	design	NOUN
brj-22715	217	5	strategy	strategy	NOUN
brj-22715	217	6	of	of	ADP
brj-22715	217	7	energy	energy	NOUN
brj-22715	217	8	efficient	efficient	ADJ
brj-22715	217	9	buildings	building	NOUN
brj-22715	217	10	based	base	VERB
brj-22715	217	11	on	on	ADP
brj-22715	217	12	databases	database	NOUN
brj-22715	217	13	by	by	ADP
brj-22715	217	14	using	use	VERB
brj-22715	217	15	data	datum	NOUN
brj-22715	217	16	mining	mining	NOUN
brj-22715	217	17	and	and	CCONJ
brj-22715	217	18	peer	peer	NOUN
brj-22715	217	19	-	-	PUNCT
brj-22715	217	20	reviewed	review	VERB
brj-22715	217	21	article	article	NOUN
brj-22715	217	22	bioresources.com	bioresources.com	X
brj-22715	217	23	bardak	bardak	PROPN
brj-22715	217	24	et	et	PROPN
brj-22715	217	25	al	al	PROPN
brj-22715	217	26	.	.	PROPN
brj-22715	217	27	(	(	PUNCT
brj-22715	217	28	2023	2023	NUM
brj-22715	217	29	)	)	PUNCT
brj-22715	217	30	.	.	PUNCT
brj-22715	218	1	“	"	PUNCT
brj-22715	218	2	furniture	furniture	NOUN
brj-22715	218	3	prices	price	NOUN
brj-22715	218	4	by	by	ADP
brj-22715	218	5	web	web	NOUN
brj-22715	218	6	mining	mining	NOUN
brj-22715	218	7	,	,	PUNCT
brj-22715	218	8	”	"	PUNCT
brj-22715	218	9	bioresources	bioresource	NOUN
brj-22715	218	10	18(4	18(4	NUM
brj-22715	218	11	)	)	PUNCT
brj-22715	218	12	,	,	PUNCT
brj-22715	218	13	7412	7412	NUM
brj-22715	218	14	-	-	SYM
brj-22715	218	15	7427	7427	NUM
brj-22715	218	16	.	.	PUNCT
brj-22715	219	1	7426	7426	NUM
brj-22715	219	2	statistical	statistical	ADJ
brj-22715	219	3	metrics	metric	NOUN
brj-22715	219	4	approach	approach	NOUN
brj-22715	219	5	,	,	PUNCT
brj-22715	219	6	”	"	PUNCT
brj-22715	219	7	energy	energy	NOUN
brj-22715	219	8	and	and	CCONJ
brj-22715	219	9	buildings	building	NOUN
brj-22715	219	10	258	258	NUM
brj-22715	219	11	,	,	PUNCT
brj-22715	219	12	article	article	NOUN
brj-22715	219	13	i	i	PROPN
brj-22715	219	14	d	d	PROPN
brj-22715	219	15	111811	111811	NUM
brj-22715	219	16	.	.	PUNCT
brj-22715	220	1	doi	doi	NOUN
brj-22715	220	2	:	:	PUNCT
brj-22715	220	3	10.1016	10.1016	NUM
brj-22715	220	4	/	/	SYM
brj-22715	220	5	j.enbuild.2021.111811	j.enbuild.2021.111811	PROPN
brj-22715	221	1	heng	heng	PROPN
brj-22715	221	2	,	,	PUNCT
brj-22715	221	3	s.	s.	PROPN
brj-22715	221	4	,	,	PUNCT
brj-22715	221	5	and	and	CCONJ
brj-22715	221	6	suetsugi	suetsugi	VERB
brj-22715	221	7	,	,	PUNCT
brj-22715	221	8	t.	t.	PROPN
brj-22715	221	9	(	(	PUNCT
brj-22715	221	10	2013	2013	NUM
brj-22715	221	11	)	)	PUNCT
brj-22715	221	12	.	.	PUNCT
brj-22715	222	1	“	"	PUNCT
brj-22715	222	2	using	use	VERB
brj-22715	222	3	artificial	artificial	ADJ
brj-22715	222	4	neural	neural	ADJ
brj-22715	222	5	network	network	NOUN
brj-22715	222	6	to	to	PART
brj-22715	222	7	estimate	estimate	VERB
brj-22715	222	8	sediment	sediment	NOUN
brj-22715	222	9	load	load	NOUN
brj-22715	222	10	in	in	ADP
brj-22715	222	11	ungauged	ungauged	ADJ
brj-22715	222	12	catchments	catchment	NOUN
brj-22715	222	13	of	of	ADP
brj-22715	222	14	the	the	DET
brj-22715	222	15	tonle	tonle	NOUN
brj-22715	222	16	sap	sap	PROPN
brj-22715	222	17	river	river	PROPN
brj-22715	222	18	basin	basin	PROPN
brj-22715	222	19	,	,	PUNCT
brj-22715	222	20	cambodia	cambodia	PROPN
brj-22715	222	21	,	,	PUNCT
brj-22715	222	22	”	"	PUNCT
brj-22715	222	23	journal	journal	NOUN
brj-22715	222	24	of	of	ADP
brj-22715	222	25	water	water	NOUN
brj-22715	222	26	resource	resource	NOUN
brj-22715	222	27	and	and	CCONJ
brj-22715	222	28	protection	protection	NOUN
brj-22715	222	29	5	5	NUM
brj-22715	222	30	,	,	PUNCT
brj-22715	222	31	111	111	NUM
brj-22715	222	32	-	-	SYM
brj-22715	222	33	123	123	NUM
brj-22715	222	34	.	.	PUNCT
brj-22715	223	1	doi	doi	NOUN
brj-22715	223	2	:	:	PUNCT
brj-22715	223	3	10.4236	10.4236	NUM
brj-22715	223	4	/	/	SYM
brj-22715	223	5	jwarp.2013.52013	jwarp.2013.52013	ADJ
brj-22715	223	6	kayser	kayser	NOUN
brj-22715	223	7	,	,	PUNCT
brj-22715	223	8	v.	v.	ADV
brj-22715	223	9	,	,	PUNCT
brj-22715	223	10	and	and	CCONJ
brj-22715	223	11	shala	shala	PROPN
brj-22715	223	12	,	,	PUNCT
brj-22715	223	13	e.	e.	PROPN
brj-22715	223	14	(	(	PUNCT
brj-22715	223	15	2020	2020	NUM
brj-22715	223	16	)	)	PUNCT
brj-22715	223	17	.	.	PUNCT
brj-22715	224	1	“	"	PUNCT
brj-22715	224	2	scenario	scenario	NOUN
brj-22715	224	3	development	development	NOUN
brj-22715	224	4	using	use	VERB
brj-22715	224	5	web	web	NOUN
brj-22715	224	6	mining	mining	NOUN
brj-22715	224	7	for	for	ADP
brj-22715	224	8	outlining	outline	VERB
brj-22715	224	9	technology	technology	NOUN
brj-22715	224	10	futures	future	NOUN
brj-22715	224	11	,	,	PUNCT
brj-22715	224	12	”	"	PUNCT
brj-22715	224	13	technological	technological	ADJ
brj-22715	224	14	forecasting	forecasting	NOUN
brj-22715	224	15	and	and	CCONJ
brj-22715	224	16	social	social	ADJ
brj-22715	224	17	change	change	NOUN
brj-22715	224	18	156	156	NUM
brj-22715	224	19	,	,	PUNCT
brj-22715	224	20	article	article	NOUN
brj-22715	224	21	i	i	PROPN
brj-22715	224	22	d	d	PROPN
brj-22715	224	23	120086	120086	NUM
brj-22715	224	24	.	.	PUNCT
brj-22715	225	1	doi:10.1016	doi:10.1016	PROPN
brj-22715	225	2	/	/	SYM
brj-22715	225	3	j.techfore.2020.120086	j.techfore.2020.120086	PROPN
brj-22715	225	4	keet	keet	PROPN
brj-22715	225	5	,	,	PUNCT
brj-22715	225	6	c.	c.	PROPN
brj-22715	225	7	m.	m.	PROPN
brj-22715	225	8	,	,	PUNCT
brj-22715	225	9	ławrynowicz	ławrynowicz	PROPN
brj-22715	225	10	,	,	PUNCT
brj-22715	225	11	a.	a.	NOUN
brj-22715	225	12	,	,	PUNCT
brj-22715	225	13	d’amato	d’amato	PROPN
brj-22715	225	14	,	,	PUNCT
brj-22715	225	15	c.	c.	NOUN
brj-22715	225	16	,	,	PUNCT
brj-22715	225	17	kalousis	kalousis	NOUN
brj-22715	225	18	,	,	PUNCT
brj-22715	225	19	a.	a.	NOUN
brj-22715	225	20	,	,	PUNCT
brj-22715	225	21	nguyen	nguyen	NOUN
brj-22715	225	22	,	,	PUNCT
brj-22715	225	23	p.	p.	NOUN
brj-22715	225	24	,	,	PUNCT
brj-22715	225	25	palma	palma	PROPN
brj-22715	225	26	,	,	PUNCT
brj-22715	225	27	r.	r.	PROPN
brj-22715	225	28	,	,	PUNCT
brj-22715	225	29	stevens	stevens	PROPN
brj-22715	225	30	,	,	PUNCT
brj-22715	225	31	r.	r.	PROPN
brj-22715	225	32	,	,	PUNCT
brj-22715	225	33	and	and	CCONJ
brj-22715	225	34	hilario	hilario	PROPN
brj-22715	225	35	,	,	PUNCT
brj-22715	225	36	m.	m.	NOUN
brj-22715	225	37	(	(	PUNCT
brj-22715	225	38	2015	2015	NUM
brj-22715	225	39	)	)	PUNCT
brj-22715	225	40	.	.	PUNCT
brj-22715	226	1	“	"	PUNCT
brj-22715	226	2	the	the	DET
brj-22715	226	3	data	data	NOUN
brj-22715	226	4	mining	mining	NOUN
brj-22715	226	5	optimization	optimization	NOUN
brj-22715	226	6	ontology	ontology	NOUN
brj-22715	226	7	,	,	PUNCT
brj-22715	226	8	”	"	PUNCT
brj-22715	226	9	journal	journal	NOUN
brj-22715	226	10	of	of	ADP
brj-22715	226	11	web	web	NOUN
brj-22715	226	12	semantics	semantic	NOUN
brj-22715	226	13	32	32	NUM
brj-22715	226	14	,	,	PUNCT
brj-22715	226	15	43	43	NUM
brj-22715	226	16	-	-	SYM
brj-22715	226	17	53	53	NUM
brj-22715	226	18	.	.	PUNCT
brj-22715	227	1	doi	doi	NOUN
brj-22715	227	2	:	:	PUNCT
brj-22715	227	3	10.1016	10.1016	NUM
brj-22715	227	4	/	/	SYM
brj-22715	227	5	j.websem.2015.01.001	j.websem.2015.01.001	PROPN
brj-22715	227	6	kim	kim	PROPN
brj-22715	227	7	,	,	PUNCT
brj-22715	227	8	p.	p.	PROPN
brj-22715	227	9	t.	t.	PROPN
brj-22715	227	10	,	,	PUNCT
brj-22715	227	11	and	and	CCONJ
brj-22715	227	12	falcone	falcone	PROPN
brj-22715	227	13	,	,	PUNCT
brj-22715	227	14	r.	r.	PROPN
brj-22715	227	15	a.	a.	PROPN
brj-22715	227	16	(	(	PUNCT
brj-22715	227	17	2017	2017	NUM
brj-22715	227	18	)	)	PUNCT
brj-22715	227	19	.	.	PUNCT
brj-22715	228	1	“	"	PUNCT
brj-22715	228	2	nonaccidental	nonaccidental	ADJ
brj-22715	228	3	trauma	trauma	NOUN
brj-22715	228	4	in	in	ADP
brj-22715	228	5	pediatric	pediatric	ADJ
brj-22715	228	6	surgery	surgery	NOUN
brj-22715	228	7	,	,	PUNCT
brj-22715	228	8	”	"	PUNCT
brj-22715	228	9	surgical	surgical	ADJ
brj-22715	228	10	clinics	clinic	NOUN
brj-22715	228	11	97(1	97(1	NOUN
brj-22715	228	12	)	)	PUNCT
brj-22715	228	13	,	,	PUNCT
brj-22715	228	14	21	21	NUM
brj-22715	228	15	-	-	SYM
brj-22715	228	16	33	33	NUM
brj-22715	228	17	.	.	PUNCT
brj-22715	229	1	doi	doi	NOUN
brj-22715	229	2	:	:	PUNCT
brj-22715	229	3	10.1016	10.1016	NUM
brj-22715	229	4	/	/	SYM
brj-22715	229	5	j.suc.2016.08.002	j.suc.2016.08.002	PROPN
brj-22715	229	6	lee	lee	PROPN
brj-22715	229	7	,	,	PUNCT
brj-22715	229	8	k.	k.	PROPN
brj-22715	229	9	c.	c.	PROPN
brj-22715	229	10	,	,	PUNCT
brj-22715	229	11	and	and	CCONJ
brj-22715	229	12	lee	lee	PROPN
brj-22715	229	13	,	,	PUNCT
brj-22715	229	14	s.	s.	PROPN
brj-22715	229	15	(	(	PUNCT
brj-22715	229	16	2011	2011	NUM
brj-22715	229	17	)	)	PUNCT
brj-22715	229	18	.	.	PUNCT
brj-22715	230	1	“	"	PUNCT
brj-22715	230	2	interpreting	interpret	VERB
brj-22715	230	3	the	the	DET
brj-22715	230	4	web	web	NOUN
brj-22715	230	5	-	-	ADJ
brj-22715	230	6	mining	mining	NOUN
brj-22715	230	7	results	result	NOUN
brj-22715	230	8	by	by	ADP
brj-22715	230	9	cognitive	cognitive	ADJ
brj-22715	230	10	map	map	NOUN
brj-22715	230	11	and	and	CCONJ
brj-22715	230	12	association	association	NOUN
brj-22715	230	13	rule	rule	NOUN
brj-22715	230	14	approach	approach	NOUN
brj-22715	230	15	,	,	PUNCT
brj-22715	230	16	”	"	PUNCT
brj-22715	230	17	information	information	NOUN
brj-22715	230	18	processing	processing	NOUN
brj-22715	230	19	and	and	CCONJ
brj-22715	230	20	management	management	NOUN
brj-22715	230	21	47(4	47(4	PROPN
brj-22715	230	22	)	)	PUNCT
brj-22715	230	23	,	,	PUNCT
brj-22715	230	24	482	482	NUM
brj-22715	230	25	–	–	PUNCT
brj-22715	230	26	490	490	NUM
brj-22715	230	27	.	.	PUNCT
brj-22715	230	28	doi	doi	NOUN
brj-22715	230	29	:	:	PUNCT
brj-22715	230	30	10.1016	10.1016	NUM
brj-22715	230	31	/	/	SYM
brj-22715	230	32	j.ipm.2010.11.005	j.ipm.2010.11.005	PROPN
brj-22715	230	33	lewis	lewis	PROPN
brj-22715	230	34	,	,	PUNCT
brj-22715	230	35	c.	c.	PROPN
brj-22715	230	36	d.	d.	PROPN
brj-22715	230	37	(	(	PUNCT
brj-22715	230	38	1982	1982	NUM
brj-22715	230	39	)	)	PUNCT
brj-22715	230	40	.	.	PUNCT
brj-22715	231	1	international	international	ADJ
brj-22715	231	2	and	and	CCONJ
brj-22715	231	3	business	business	NOUN
brj-22715	231	4	forecasting	forecasting	NOUN
brj-22715	231	5	methods	method	NOUN
brj-22715	231	6	,	,	PUNCT
brj-22715	231	7	butterworths	butterworth	NOUN
brj-22715	231	8	,	,	PUNCT
brj-22715	231	9	london	london	PROPN
brj-22715	231	10	,	,	PUNCT
brj-22715	231	11	uk	uk	PROPN
brj-22715	231	12	.	.	PROPN
brj-22715	231	13	li	li	PROPN
brj-22715	231	14	,	,	PUNCT
brj-22715	231	15	j.	j.	PROPN
brj-22715	231	16	,	,	PUNCT
brj-22715	231	17	zhu	zhu	PROPN
brj-22715	231	18	,	,	PUNCT
brj-22715	231	19	s.	s.	PROPN
brj-22715	231	20	,	,	PUNCT
brj-22715	231	21	and	and	CCONJ
brj-22715	231	22	wu	wu	PROPN
brj-22715	231	23	,	,	PUNCT
brj-22715	231	24	q.	q.	PROPN
brj-22715	231	25	(	(	PUNCT
brj-22715	231	26	2019	2019	NUM
brj-22715	231	27	)	)	PUNCT
brj-22715	231	28	.	.	PUNCT
brj-22715	232	1	“	"	PUNCT
brj-22715	232	2	monthly	monthly	ADJ
brj-22715	232	3	crude	crude	ADJ
brj-22715	232	4	oil	oil	NOUN
brj-22715	232	5	spot	spot	NOUN
brj-22715	232	6	price	price	NOUN
brj-22715	232	7	forecasting	forecasting	NOUN
brj-22715	232	8	using	use	VERB
brj-22715	232	9	variational	variational	ADJ
brj-22715	232	10	mode	mode	NOUN
brj-22715	232	11	decomposition	decomposition	NOUN
brj-22715	232	12	,	,	PUNCT
brj-22715	232	13	”	"	PUNCT
brj-22715	232	14	energy	energy	NOUN
brj-22715	232	15	economics	economic	NOUN
brj-22715	232	16	83	83	NUM
brj-22715	232	17	,	,	PUNCT
brj-22715	232	18	240	240	NUM
brj-22715	232	19	-	-	SYM
brj-22715	232	20	253	253	NUM
brj-22715	232	21	.	.	PUNCT
brj-22715	233	1	doi	doi	NOUN
brj-22715	233	2	:	:	PUNCT
brj-22715	233	3	10.1016	10.1016	NUM
brj-22715	233	4	/	/	SYM
brj-22715	233	5	j.eneco.2019.07.009	j.eneco.2019.07.009	PROPN
brj-22715	233	6	li	li	PROPN
brj-22715	233	7	,	,	PUNCT
brj-22715	233	8	z.	z.	PROPN
brj-22715	233	9	,	,	PUNCT
brj-22715	233	10	xu	xu	PROPN
brj-22715	233	11	,	,	PUNCT
brj-22715	233	12	w.	w.	PROPN
brj-22715	233	13	,	,	PUNCT
brj-22715	233	14	zhang	zhang	PROPN
brj-22715	233	15	,	,	PUNCT
brj-22715	233	16	l.	l.	PROPN
brj-22715	233	17	,	,	PUNCT
brj-22715	233	18	and	and	CCONJ
brj-22715	233	19	lau	lau	PROPN
brj-22715	233	20	,	,	PUNCT
brj-22715	233	21	r.	r.	PROPN
brj-22715	233	22	y.	y.	PROPN
brj-22715	233	23	k.	k.	PROPN
brj-22715	233	24	(	(	PUNCT
brj-22715	233	25	2014	2014	NUM
brj-22715	233	26	)	)	PUNCT
brj-22715	233	27	.	.	PUNCT
brj-22715	234	1	“	"	PUNCT
brj-22715	234	2	an	an	DET
brj-22715	234	3	ontology	ontology	NOUN
brj-22715	234	4	-	-	PUNCT
brj-22715	234	5	based	base	VERB
brj-22715	234	6	web	web	NOUN
brj-22715	234	7	mining	mining	NOUN
brj-22715	234	8	method	method	NOUN
brj-22715	234	9	for	for	ADP
brj-22715	234	10	unemployment	unemployment	NOUN
brj-22715	234	11	rate	rate	NOUN
brj-22715	234	12	prediction	prediction	NOUN
brj-22715	234	13	,	,	PUNCT
brj-22715	234	14	”	"	PUNCT
brj-22715	234	15	decision	decision	NOUN
brj-22715	234	16	support	support	NOUN
brj-22715	234	17	systems	system	NOUN
brj-22715	234	18	66	66	NUM
brj-22715	234	19	,	,	PUNCT
brj-22715	234	20	114	114	NUM
brj-22715	234	21	-	-	SYM
brj-22715	234	22	122	122	NUM
brj-22715	234	23	.	.	PUNCT
brj-22715	235	1	doi	doi	NOUN
brj-22715	235	2	:	:	PUNCT
brj-22715	235	3	10.1016	10.1016	NUM
brj-22715	235	4	/	/	SYM
brj-22715	235	5	j.dss.2014.06.007	j.dss.2014.06.007	ADJ
brj-22715	235	6	lihra	lihra	NOUN
brj-22715	235	7	,	,	PUNCT
brj-22715	235	8	t.	t.	PROPN
brj-22715	235	9	,	,	PUNCT
brj-22715	235	10	buehlmann	buehlmann	PROPN
brj-22715	235	11	,	,	PUNCT
brj-22715	235	12	u.	u.	PROPN
brj-22715	235	13	,	,	PUNCT
brj-22715	235	14	and	and	CCONJ
brj-22715	235	15	graf	graf	PROPN
brj-22715	235	16	,	,	PUNCT
brj-22715	235	17	r.	r.	PROPN
brj-22715	235	18	(	(	PUNCT
brj-22715	235	19	2012	2012	NUM
brj-22715	235	20	)	)	PUNCT
brj-22715	235	21	.	.	PUNCT
brj-22715	236	1	“	"	PUNCT
brj-22715	236	2	customer	customer	NOUN
brj-22715	236	3	preferences	preference	NOUN
brj-22715	236	4	for	for	ADP
brj-22715	236	5	customized	customized	ADJ
brj-22715	236	6	household	household	NOUN
brj-22715	236	7	furniture	furniture	NOUN
brj-22715	236	8	,	,	PUNCT
brj-22715	236	9	”	"	PUNCT
brj-22715	236	10	journal	journal	NOUN
brj-22715	236	11	of	of	ADP
brj-22715	236	12	forest	forest	NOUN
brj-22715	236	13	economics	economic	NOUN
brj-22715	236	14	18(2	18(2	NUM
brj-22715	236	15	)	)	PUNCT
brj-22715	236	16	,	,	PUNCT
brj-22715	236	17	94	94	NUM
brj-22715	236	18	-	-	SYM
brj-22715	236	19	112	112	NUM
brj-22715	236	20	.	.	PUNCT
brj-22715	237	1	doi	doi	NOUN
brj-22715	237	2	:	:	PUNCT
brj-22715	237	3	10.1016	10.1016	NUM
brj-22715	237	4	/	/	SYM
brj-22715	237	5	j.jfe.2011.11.001	j.jfe.2011.11.001	PROPN
brj-22715	237	6	mariano	mariano	PROPN
brj-22715	237	7	,	,	PUNCT
brj-22715	237	8	a.	a.	NOUN
brj-22715	237	9	m.	m.	NOUN
brj-22715	237	10	,	,	PUNCT
brj-22715	237	11	ferreira	ferreira	PROPN
brj-22715	237	12	,	,	PUNCT
brj-22715	237	13	a.	a.	PROPN
brj-22715	237	14	b.	b.	PROPN
brj-22715	237	15	de	de	PROPN
brj-22715	237	16	m.	m.	PROPN
brj-22715	237	17	l.	l.	PROPN
brj-22715	237	18	,	,	PUNCT
brj-22715	237	19	santos	santos	PROPN
brj-22715	237	20	,	,	PUNCT
brj-22715	237	21	m.	m.	NOUN
brj-22715	237	22	r.	r.	PROPN
brj-22715	237	23	,	,	PUNCT
brj-22715	237	24	castilho	castilho	NOUN
brj-22715	237	25	,	,	PUNCT
brj-22715	237	26	m.	m.	NOUN
brj-22715	237	27	l.	l.	PROPN
brj-22715	237	28	,	,	PUNCT
brj-22715	237	29	and	and	CCONJ
brj-22715	237	30	bastos	basto	NOUN
brj-22715	237	31	,	,	PUNCT
brj-22715	237	32	a.	a.	PROPN
brj-22715	237	33	c.	c.	PROPN
brj-22715	237	34	f.	f.	PROPN
brj-22715	237	35	l.	l.	PROPN
brj-22715	237	36	c.	c.	PROPN
brj-22715	237	37	(	(	PUNCT
brj-22715	237	38	2022	2022	NUM
brj-22715	237	39	)	)	PUNCT
brj-22715	237	40	.	.	PUNCT
brj-22715	238	1	“	"	PUNCT
brj-22715	238	2	decision	decision	NOUN
brj-22715	238	3	trees	tree	NOUN
brj-22715	238	4	for	for	ADP
brj-22715	238	5	predicting	predict	VERB
brj-22715	238	6	dropout	dropout	NOUN
brj-22715	238	7	in	in	ADP
brj-22715	238	8	engineering	engineering	NOUN
brj-22715	238	9	course	course	NOUN
brj-22715	238	10	students	student	NOUN
brj-22715	238	11	in	in	ADP
brj-22715	238	12	brazil	brazil	PROPN
brj-22715	238	13	,	,	PUNCT
brj-22715	238	14	”	"	PUNCT
brj-22715	238	15	procedia	procedia	NOUN
brj-22715	238	16	computer	computer	NOUN
brj-22715	238	17	science	science	NOUN
brj-22715	238	18	214	214	NUM
brj-22715	238	19	,	,	PUNCT
brj-22715	238	20	1113	1113	NUM
brj-22715	238	21	-	-	SYM
brj-22715	238	22	1120	1120	NUM
brj-22715	238	23	.	.	PUNCT
brj-22715	239	1	doi	doi	NOUN
brj-22715	239	2	:	:	PUNCT
brj-22715	239	3	10.1016	10.1016	NUM
brj-22715	239	4	/	/	SYM
brj-22715	239	5	j.procs.2022.11.285	j.procs.2022.11.285	PROPN
brj-22715	239	6	massimino	massimino	PROPN
brj-22715	239	7	,	,	PUNCT
brj-22715	239	8	b.	b.	PROPN
brj-22715	239	9	(	(	PUNCT
brj-22715	239	10	2016	2016	NUM
brj-22715	239	11	)	)	PUNCT
brj-22715	239	12	.	.	PUNCT
brj-22715	240	1	“	"	PUNCT
brj-22715	240	2	accessing	access	VERB
brj-22715	240	3	online	online	ADJ
brj-22715	240	4	data	datum	NOUN
brj-22715	240	5	:	:	PUNCT
brj-22715	240	6	web‐crawling	web‐crawle	VERB
brj-22715	240	7	and	and	CCONJ
brj-22715	240	8	information‐scraping	information‐scrape	VERB
brj-22715	240	9	techniques	technique	NOUN
brj-22715	240	10	to	to	PART
brj-22715	240	11	automate	automate	VERB
brj-22715	240	12	the	the	DET
brj-22715	240	13	assembly	assembly	NOUN
brj-22715	240	14	of	of	ADP
brj-22715	240	15	research	research	NOUN
brj-22715	240	16	data	datum	NOUN
brj-22715	240	17	,	,	PUNCT
brj-22715	240	18	”	"	PUNCT
brj-22715	240	19	journal	journal	NOUN
brj-22715	240	20	of	of	ADP
brj-22715	240	21	business	business	NOUN
brj-22715	240	22	logistics	logistic	NOUN
brj-22715	240	23	37(1	37(1	NUM
brj-22715	240	24	)	)	PUNCT
brj-22715	240	25	,	,	PUNCT
brj-22715	240	26	34	34	NUM
brj-22715	240	27	-	-	SYM
brj-22715	240	28	42	42	NUM
brj-22715	240	29	.	.	PUNCT
brj-22715	241	1	doi	doi	NOUN
brj-22715	241	2	:	:	PUNCT
brj-22715	241	3	10.1111	10.1111	NUM
brj-22715	241	4	/	/	SYM
brj-22715	241	5	jbl.12120	jbl.12120	PROPN
brj-22715	241	6	naser	naser	PROPN
brj-22715	241	7	,	,	PUNCT
brj-22715	241	8	m.	m.	NOUN
brj-22715	241	9	z.	z.	PROPN
brj-22715	241	10	(	(	PUNCT
brj-22715	241	11	2023	2023	NUM
brj-22715	241	12	)	)	PUNCT
brj-22715	241	13	.	.	PUNCT
brj-22715	242	1	“	"	PUNCT
brj-22715	242	2	machine	machine	NOUN
brj-22715	242	3	learning	learn	VERB
brj-22715	242	4	for	for	ADP
brj-22715	242	5	all	all	PRON
brj-22715	242	6	!	!	PUNCT
brj-22715	243	1	benchmarking	benchmarke	VERB
brj-22715	243	2	automated	automate	VERB
brj-22715	243	3	,	,	PUNCT
brj-22715	243	4	explainable	explainable	ADJ
brj-22715	243	5	,	,	PUNCT
brj-22715	243	6	and	and	CCONJ
brj-22715	243	7	coding	code	VERB
brj-22715	243	8	-	-	PUNCT
brj-22715	243	9	free	free	ADJ
brj-22715	243	10	platforms	platform	NOUN
brj-22715	243	11	on	on	ADP
brj-22715	243	12	civil	civil	ADJ
brj-22715	243	13	and	and	CCONJ
brj-22715	243	14	environmental	environmental	ADJ
brj-22715	243	15	engineering	engineering	NOUN
brj-22715	243	16	problems	problem	NOUN
brj-22715	243	17	,	,	PUNCT
brj-22715	243	18	”	"	PUNCT
brj-22715	243	19	journal	journal	NOUN
brj-22715	243	20	of	of	ADP
brj-22715	243	21	infrastructure	infrastructure	NOUN
brj-22715	243	22	intelligence	intelligence	NOUN
brj-22715	243	23	and	and	CCONJ
brj-22715	243	24	resilience	resilience	NOUN
brj-22715	243	25	2(1	2(1	NUM
brj-22715	243	26	)	)	PUNCT
brj-22715	243	27	,	,	PUNCT
brj-22715	243	28	article	article	NOUN
brj-22715	243	29	i	i	PROPN
brj-22715	243	30	d	d	PROPN
brj-22715	243	31	100028	100028	NUM
brj-22715	243	32	.	.	PUNCT
brj-22715	244	1	doi	doi	NOUN
brj-22715	244	2	:	:	PUNCT
brj-22715	244	3	10.1016	10.1016	NUM
brj-22715	244	4	/	/	SYM
brj-22715	244	5	j.iintel.2023.100028	j.iintel.2023.100028	PROPN
brj-22715	244	6	orte	orte	PROPN
brj-22715	244	7	,	,	PUNCT
brj-22715	244	8	f.	f.	PROPN
brj-22715	244	9	,	,	PUNCT
brj-22715	244	10	mira	mira	PROPN
brj-22715	244	11	,	,	PUNCT
brj-22715	244	12	j.	j.	PROPN
brj-22715	244	13	,	,	PUNCT
brj-22715	244	14	sánchez	sánchez	PROPN
brj-22715	244	15	,	,	PUNCT
brj-22715	244	16	m.	m.	NOUN
brj-22715	244	17	j.	j.	PROPN
brj-22715	244	18	,	,	PUNCT
brj-22715	244	19	and	and	CCONJ
brj-22715	244	20	solana	solana	PROPN
brj-22715	244	21	,	,	PUNCT
brj-22715	244	22	p.	p.	NOUN
brj-22715	244	23	(	(	PUNCT
brj-22715	244	24	2023	2023	NUM
brj-22715	244	25	)	)	PUNCT
brj-22715	244	26	.	.	PUNCT
brj-22715	245	1	“	"	PUNCT
brj-22715	245	2	a	a	DET
brj-22715	245	3	random	random	ADJ
brj-22715	245	4	forest	forest	NOUN
brj-22715	245	5	-	-	PUNCT
brj-22715	245	6	based	base	VERB
brj-22715	245	7	model	model	NOUN
brj-22715	245	8	for	for	ADP
brj-22715	245	9	crypto	crypto	ADJ
brj-22715	245	10	asset	asset	NOUN
brj-22715	245	11	forecasts	forecast	NOUN
brj-22715	245	12	in	in	ADP
brj-22715	245	13	futures	future	NOUN
brj-22715	245	14	markets	market	NOUN
brj-22715	245	15	with	with	ADP
brj-22715	245	16	out	out	ADV
brj-22715	245	17	-	-	PUNCT
brj-22715	245	18	of	of	ADP
brj-22715	245	19	-	-	PUNCT
brj-22715	245	20	sample	sample	NOUN
brj-22715	245	21	prediction	prediction	NOUN
brj-22715	245	22	,	,	PUNCT
brj-22715	245	23	”	"	PUNCT
brj-22715	245	24	research	research	NOUN
brj-22715	245	25	in	in	ADP
brj-22715	245	26	international	international	ADJ
brj-22715	245	27	business	business	NOUN
brj-22715	245	28	and	and	CCONJ
brj-22715	245	29	finance	finance	NOUN
brj-22715	245	30	64	64	NUM
brj-22715	245	31	,	,	PUNCT
brj-22715	245	32	article	article	NOUN
brj-22715	245	33	i	i	PROPN
brj-22715	245	34	d	d	PROPN
brj-22715	245	35	101829	101829	NUM
brj-22715	245	36	.	.	PUNCT
brj-22715	246	1	doi	doi	NOUN
brj-22715	246	2	:	:	PUNCT
brj-22715	246	3	10.1016	10.1016	NUM
brj-22715	246	4	/	/	SYM
brj-22715	246	5	j.ribaf.2022.101829	j.ribaf.2022.101829	ADJ
brj-22715	246	6	pérez	pérez	NOUN
brj-22715	246	7	-	-	PUNCT
brj-22715	246	8	campuzano	campuzano	NOUN
brj-22715	246	9	,	,	PUNCT
brj-22715	246	10	d.	d.	PROPN
brj-22715	246	11	,	,	PUNCT
brj-22715	246	12	rubio	rubio	PROPN
brj-22715	246	13	andrada	andrada	PROPN
brj-22715	246	14	,	,	PUNCT
brj-22715	246	15	l.	l.	PROPN
brj-22715	246	16	,	,	PUNCT
brj-22715	246	17	morcillo	morcillo	PROPN
brj-22715	246	18	ortega	ortega	PROPN
brj-22715	246	19	,	,	PUNCT
brj-22715	246	20	p.	p.	NOUN
brj-22715	246	21	,	,	PUNCT
brj-22715	246	22	and	and	CCONJ
brj-22715	246	23	lópez	lópez	NOUN
brj-22715	246	24	-	-	PUNCT
brj-22715	246	25	lázaro	lázaro	NOUN
brj-22715	246	26	,	,	PUNCT
brj-22715	246	27	a.	a.	NOUN
brj-22715	246	28	(	(	PUNCT
brj-22715	246	29	2022	2022	NUM
brj-22715	246	30	)	)	PUNCT
brj-22715	246	31	.	.	PUNCT
brj-22715	247	1	“	"	PUNCT
brj-22715	247	2	visualizing	visualize	VERB
brj-22715	247	3	the	the	DET
brj-22715	247	4	historical	historical	ADJ
brj-22715	247	5	covid-19	covid-19	PROPN
brj-22715	247	6	shock	shock	NOUN
brj-22715	247	7	in	in	ADP
brj-22715	247	8	the	the	DET
brj-22715	247	9	us	us	PROPN
brj-22715	247	10	airline	airline	NOUN
brj-22715	247	11	industry	industry	NOUN
brj-22715	247	12	:	:	PUNCT
brj-22715	247	13	a	a	DET
brj-22715	247	14	data	data	NOUN
brj-22715	247	15	mining	mining	NOUN
brj-22715	247	16	approach	approach	NOUN
brj-22715	247	17	for	for	ADP
brj-22715	247	18	dynamic	dynamic	ADJ
brj-22715	247	19	market	market	NOUN
brj-22715	247	20	surveillance	surveillance	NOUN
brj-22715	247	21	,	,	PUNCT
brj-22715	247	22	”	"	PUNCT
brj-22715	247	23	journal	journal	NOUN
brj-22715	247	24	of	of	ADP
brj-22715	247	25	air	air	PROPN
brj-22715	247	26	transport	transport	PROPN
brj-22715	247	27	management	management	NOUN
brj-22715	247	28	101	101	NUM
brj-22715	247	29	,	,	PUNCT
brj-22715	247	30	article	article	NOUN
brj-22715	247	31	i	i	PROPN
brj-22715	247	32	d	d	PROPN
brj-22715	247	33	102194	102194	NUM
brj-22715	247	34	.	.	PUNCT
brj-22715	248	1	doi	doi	NOUN
brj-22715	248	2	:	:	PUNCT
brj-22715	248	3	10.1016	10.1016	NUM
brj-22715	248	4	/	/	SYM
brj-22715	248	5	j.jairtraman.2022.102194	j.jairtraman.2022.102194	PROPN
brj-22715	248	6	pervez	pervez	PROPN
brj-22715	248	7	,	,	PUNCT
brj-22715	248	8	md	md	PROPN
brj-22715	248	9	.	.	PUNCT
brj-22715	249	1	n.	n.	PROPN
brj-22715	249	2	,	,	PUNCT
brj-22715	249	3	yeo	yeo	PROPN
brj-22715	249	4	,	,	PUNCT
brj-22715	249	5	w.	w.	PROPN
brj-22715	249	6	s.	s.	PROPN
brj-22715	249	7	,	,	PUNCT
brj-22715	249	8	mishu	mishu	PROPN
brj-22715	249	9	,	,	PUNCT
brj-22715	249	10	mst	mst	PROPN
brj-22715	249	11	.	.	PUNCT
brj-22715	249	12	m.	m.	PROPN
brj-22715	249	13	r.	r.	PROPN
brj-22715	249	14	,	,	PUNCT
brj-22715	249	15	talukder	talukder	PROPN
brj-22715	249	16	,	,	PUNCT
brj-22715	249	17	md	md	PROPN
brj-22715	249	18	.	.	PROPN
brj-22715	249	19	e.	e.	PROPN
brj-22715	249	20	,	,	PUNCT
brj-22715	249	21	roy	roy	PROPN
brj-22715	249	22	,	,	PUNCT
brj-22715	249	23	h.	h.	PROPN
brj-22715	249	24	,	,	PUNCT
brj-22715	249	25	islam	islam	PROPN
brj-22715	249	26	,	,	PUNCT
brj-22715	249	27	md	md	PROPN
brj-22715	249	28	.	.	PUNCT
brj-22715	249	29	s.	s.	PROPN
brj-22715	249	30	,	,	PUNCT
brj-22715	249	31	zhao	zhao	PROPN
brj-22715	249	32	,	,	PUNCT
brj-22715	249	33	y.	y.	PROPN
brj-22715	249	34	,	,	PUNCT
brj-22715	249	35	cai	cai	PROPN
brj-22715	249	36	,	,	PUNCT
brj-22715	249	37	y.	y.	PROPN
brj-22715	249	38	,	,	PUNCT
brj-22715	249	39	stylios	stylios	PROPN
brj-22715	249	40	,	,	PUNCT
brj-22715	249	41	g.	g.	PROPN
brj-22715	249	42	k.	k.	PROPN
brj-22715	249	43	,	,	PUNCT
brj-22715	249	44	and	and	CCONJ
brj-22715	249	45	naddeo	naddeo	NOUN
brj-22715	249	46	,	,	PUNCT
brj-22715	249	47	v.	v.	PROPN
brj-22715	249	48	(	(	PUNCT
brj-22715	249	49	2023	2023	NUM
brj-22715	249	50	)	)	PUNCT
brj-22715	249	51	.	.	PUNCT
brj-22715	250	1	“	"	PUNCT
brj-22715	250	2	electrospun	electrospun	VERB
brj-22715	250	3	nanofiber	nanofiber	NOUN
brj-22715	250	4	https://doi.org/https:/doi.org/10.1016/j.jfe.2011.11.001	https://doi.org/https:/doi.org/10.1016/j.jfe.2011.11.001	X
brj-22715	250	5	https://doi.org/https:/doi.org/10.1016/j.jfe.2011.11.001	https://doi.org/https:/doi.org/10.1016/j.jfe.2011.11.001	X
brj-22715	250	6	peer	peer	NOUN
brj-22715	250	7	-	-	PUNCT
brj-22715	250	8	reviewed	review	VERB
brj-22715	250	9	article	article	NOUN
brj-22715	250	10	bioresources.com	bioresources.com	X
brj-22715	250	11	bardak	bardak	PROPN
brj-22715	250	12	et	et	PROPN
brj-22715	250	13	al	al	PROPN
brj-22715	250	14	.	.	PROPN
brj-22715	251	1	(	(	PUNCT
brj-22715	251	2	2023	2023	NUM
brj-22715	251	3	)	)	PUNCT
brj-22715	251	4	.	.	PUNCT
brj-22715	252	1	“	"	PUNCT
brj-22715	252	2	furniture	furniture	NOUN
brj-22715	252	3	prices	price	NOUN
brj-22715	252	4	by	by	ADP
brj-22715	252	5	web	web	NOUN
brj-22715	252	6	mining	mining	NOUN
brj-22715	252	7	,	,	PUNCT
brj-22715	252	8	”	"	PUNCT
brj-22715	252	9	bioresources	bioresource	NOUN
brj-22715	252	10	18(4	18(4	NUM
brj-22715	252	11	)	)	PUNCT
brj-22715	252	12	,	,	PUNCT
brj-22715	252	13	7412	7412	NUM
brj-22715	252	14	-	-	SYM
brj-22715	252	15	7427	7427	NUM
brj-22715	252	16	.	.	PUNCT
brj-22715	253	1	7427	7427	NUM
brj-22715	253	2	membrane	membrane	NOUN
brj-22715	253	3	diameter	diameter	NOUN
brj-22715	253	4	prediction	prediction	NOUN
brj-22715	253	5	using	use	VERB
brj-22715	253	6	a	a	DET
brj-22715	253	7	combined	combine	VERB
brj-22715	253	8	response	response	NOUN
brj-22715	253	9	surface	surface	NOUN
brj-22715	253	10	methodology	methodology	NOUN
brj-22715	253	11	and	and	CCONJ
brj-22715	253	12	machine	machine	NOUN
brj-22715	253	13	learning	learning	NOUN
brj-22715	253	14	approach	approach	NOUN
brj-22715	253	15	,	,	PUNCT
brj-22715	253	16	”	"	PUNCT
brj-22715	253	17	scientific	scientific	ADJ
brj-22715	253	18	reports	report	NOUN
brj-22715	253	19	13(1	13(1	NUM
brj-22715	253	20	)	)	PUNCT
brj-22715	253	21	,	,	PUNCT
brj-22715	253	22	article	article	NOUN
brj-22715	253	23	9679	9679	NUM
brj-22715	253	24	.	.	PUNCT
brj-22715	254	1	doi	doi	NOUN
brj-22715	254	2	:	:	PUNCT
brj-22715	254	3	10.1038	10.1038	NUM
brj-22715	254	4	/	/	SYM
brj-22715	254	5	s41598	s41598	NOUN
brj-22715	254	6	-	-	PUNCT
brj-22715	254	7	023	023	NUM
brj-22715	254	8	-	-	PUNCT
brj-22715	254	9	36431	36431	NUM
brj-22715	254	10	-	-	SYM
brj-22715	254	11	7	7	NUM
brj-22715	254	12	putri	putri	NOUN
brj-22715	254	13	,	,	PUNCT
brj-22715	254	14	r.	r.	PROPN
brj-22715	254	15	t.	t.	PROPN
brj-22715	254	16	,	,	PUNCT
brj-22715	254	17	sukiyono	sukiyono	PROPN
brj-22715	254	18	,	,	PUNCT
brj-22715	254	19	k.	k.	PROPN
brj-22715	254	20	,	,	PUNCT
brj-22715	254	21	and	and	CCONJ
brj-22715	254	22	sumartono	sumartono	PROPN
brj-22715	254	23	,	,	PUNCT
brj-22715	254	24	e.	e.	PROPN
brj-22715	254	25	(	(	PUNCT
brj-22715	254	26	2019	2019	NUM
brj-22715	254	27	)	)	PUNCT
brj-22715	254	28	.	.	PUNCT
brj-22715	255	1	“	"	PUNCT
brj-22715	255	2	estimation	estimation	NOUN
brj-22715	255	3	of	of	ADP
brj-22715	255	4	indonesian	indonesian	ADJ
brj-22715	255	5	beef	beef	NOUN
brj-22715	255	6	price	price	NOUN
brj-22715	255	7	forecasting	forecasting	NOUN
brj-22715	255	8	model	model	NOUN
brj-22715	255	9	,	,	PUNCT
brj-22715	255	10	”	"	PUNCT
brj-22715	255	11	agritropica	agritropica	PROPN
brj-22715	255	12	:	:	PUNCT
brj-22715	255	13	journal	journal	NOUN
brj-22715	255	14	of	of	ADP
brj-22715	255	15	agricultural	agricultural	ADJ
brj-22715	255	16	science	science	NOUN
brj-22715	255	17	2(1	2(1	NUM
brj-22715	255	18	)	)	PUNCT
brj-22715	255	19	,	,	PUNCT
brj-22715	255	20	46	46	NUM
brj-22715	255	21	-	-	SYM
brj-22715	255	22	56	56	NUM
brj-22715	255	23	.	.	PUNCT
brj-22715	255	24	doi	doi	NOUN
brj-22715	255	25	:	:	PUNCT
brj-22715	255	26	10.31186	10.31186	NUM
brj-22715	255	27	/	/	SYM
brj-22715	255	28	j.agritropica.2.1.46	j.agritropica.2.1.46	PROPN
brj-22715	255	29	-	-	PUNCT
brj-22715	255	30	55	55	NUM
brj-22715	255	31	rapidminer	rapidminer	NOUN
brj-22715	255	32	.	.	PUNCT
brj-22715	256	1	(	(	PUNCT
brj-22715	256	2	2023	2023	NUM
brj-22715	256	3	)	)	PUNCT
brj-22715	256	4	.	.	PUNCT
brj-22715	257	1	rapidminer	rapidminer	NOUN
brj-22715	257	2	documentation	documentation	PROPN
brj-22715	257	3	,	,	PUNCT
brj-22715	257	4	(	(	PUNCT
brj-22715	257	5	https://docs.rapidminer.com/	https://docs.rapidminer.com/	NOUN
brj-22715	257	6	)	)	PUNCT
brj-22715	257	7	.	.	PUNCT
brj-22715	258	1	raposo	raposo	PROPN
brj-22715	258	2	,	,	PUNCT
brj-22715	258	3	a.	a.	NOUN
brj-22715	258	4	,	,	PUNCT
brj-22715	258	5	frade	frade	NOUN
brj-22715	258	6	,	,	PUNCT
brj-22715	258	7	s.	s.	PROPN
brj-22715	258	8	,	,	PUNCT
brj-22715	258	9	alves	alves	PROPN
brj-22715	258	10	,	,	PUNCT
brj-22715	258	11	m.	m.	NOUN
brj-22715	258	12	,	,	PUNCT
brj-22715	258	13	and	and	CCONJ
brj-22715	258	14	marques	marques	PROPN
brj-22715	258	15	,	,	PUNCT
brj-22715	258	16	j.	j.	PROPN
brj-22715	258	17	f.	f.	PROPN
brj-22715	258	18	(	(	PUNCT
brj-22715	258	19	2018	2018	NUM
brj-22715	258	20	)	)	PUNCT
brj-22715	258	21	.	.	PUNCT
brj-22715	259	1	“	"	PUNCT
brj-22715	259	2	the	the	DET
brj-22715	259	3	neural	neural	ADJ
brj-22715	259	4	bases	basis	NOUN
brj-22715	259	5	of	of	ADP
brj-22715	259	6	price	price	NOUN
brj-22715	259	7	estimation	estimation	NOUN
brj-22715	259	8	:	:	PUNCT
brj-22715	259	9	effects	effect	NOUN
brj-22715	259	10	of	of	ADP
brj-22715	259	11	size	size	NOUN
brj-22715	259	12	and	and	CCONJ
brj-22715	259	13	precision	precision	NOUN
brj-22715	259	14	of	of	ADP
brj-22715	259	15	the	the	DET
brj-22715	259	16	estimate	estimate	NOUN
brj-22715	259	17	,	,	PUNCT
brj-22715	259	18	”	"	PUNCT
brj-22715	259	19	brain	brain	NOUN
brj-22715	259	20	and	and	CCONJ
brj-22715	259	21	cognition	cognition	NOUN
brj-22715	259	22	125	125	NUM
brj-22715	259	23	,	,	PUNCT
brj-22715	259	24	157	157	NUM
brj-22715	259	25	-	-	SYM
brj-22715	259	26	164	164	NUM
brj-22715	259	27	.	.	PUNCT
brj-22715	260	1	doi	doi	NOUN
brj-22715	260	2	:	:	PUNCT
brj-22715	260	3	10.1016	10.1016	NUM
brj-22715	260	4	/	/	SYM
brj-22715	260	5	j.bandc.2018.07.005	j.bandc.2018.07.005	PROPN
brj-22715	260	6	razali	razali	VERB
brj-22715	260	7	,	,	PUNCT
brj-22715	260	8	a.	a.	NOUN
brj-22715	260	9	m.	m.	NOUN
brj-22715	260	10	,	,	PUNCT
brj-22715	260	11	and	and	CCONJ
brj-22715	260	12	al	al	PROPN
brj-22715	260	13	-	-	PUNCT
brj-22715	260	14	wakeel	wakeel	PROPN
brj-22715	260	15	,	,	PUNCT
brj-22715	260	16	a.	a.	NOUN
brj-22715	260	17	a.	a.	NOUN
brj-22715	260	18	(	(	PUNCT
brj-22715	260	19	2013	2013	NUM
brj-22715	260	20	)	)	PUNCT
brj-22715	260	21	.	.	PUNCT
brj-22715	261	1	“	"	PUNCT
brj-22715	261	2	mixture	mixture	NOUN
brj-22715	261	3	weibull	weibull	NOUN
brj-22715	261	4	distributions	distribution	NOUN
brj-22715	261	5	for	for	ADP
brj-22715	261	6	fitting	fitting	ADJ
brj-22715	261	7	failure	failure	NOUN
brj-22715	261	8	times	time	NOUN
brj-22715	261	9	data	datum	NOUN
brj-22715	261	10	,	,	PUNCT
brj-22715	261	11	”	"	PUNCT
brj-22715	261	12	applied	apply	VERB
brj-22715	261	13	mathematics	mathematic	NOUN
brj-22715	261	14	and	and	CCONJ
brj-22715	261	15	computation	computation	NOUN
brj-22715	261	16	219(24	219(24	NUM
brj-22715	261	17	)	)	PUNCT
brj-22715	261	18	,	,	PUNCT
brj-22715	261	19	11358	11358	NUM
brj-22715	261	20	-	-	SYM
brj-22715	261	21	11364	11364	NUM
brj-22715	261	22	.	.	PUNCT
brj-22715	262	1	doi	doi	NOUN
brj-22715	262	2	:	:	PUNCT
brj-22715	262	3	10.1016	10.1016	NUM
brj-22715	262	4	/	/	SYM
brj-22715	262	5	j.amc.2013.05.062	j.amc.2013.05.062	PROPN
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brj-22715	262	7	,	,	PUNCT
brj-22715	262	8	s.	s.	PROPN
brj-22715	262	9	,	,	PUNCT
brj-22715	262	10	bera	bera	NOUN
brj-22715	262	11	,	,	PUNCT
brj-22715	262	12	b.	b.	PROPN
brj-22715	262	13	,	,	PUNCT
brj-22715	262	14	shit	shit	NOUN
brj-22715	262	15	,	,	PUNCT
brj-22715	262	16	p.	p.	PROPN
brj-22715	262	17	k.	k.	PROPN
brj-22715	262	18	,	,	PUNCT
brj-22715	262	19	bhattacharjee	bhattacharjee	PROPN
brj-22715	262	20	,	,	PUNCT
brj-22715	262	21	s.	s.	PROPN
brj-22715	262	22	,	,	PUNCT
brj-22715	262	23	and	and	CCONJ
brj-22715	262	24	sengupta	sengupta	NOUN
brj-22715	262	25	,	,	PUNCT
brj-22715	262	26	n.	n.	NOUN
brj-22715	262	27	(	(	PUNCT
brj-22715	262	28	2023	2023	NUM
brj-22715	262	29	)	)	PUNCT
brj-22715	262	30	.	.	PUNCT
brj-22715	263	1	“	"	PUNCT
brj-22715	263	2	prediction	prediction	NOUN
brj-22715	263	3	of	of	ADP
brj-22715	263	4	forest	forest	NOUN
brj-22715	263	5	fire	fire	NOUN
brj-22715	263	6	susceptibility	susceptibility	NOUN
brj-22715	263	7	applying	apply	VERB
brj-22715	263	8	machine	machine	NOUN
brj-22715	263	9	and	and	CCONJ
brj-22715	263	10	deep	deep	ADJ
brj-22715	263	11	learning	learning	NOUN
brj-22715	263	12	algorithms	algorithm	NOUN
brj-22715	263	13	for	for	ADP
brj-22715	263	14	conservation	conservation	NOUN
brj-22715	263	15	priorities	priority	NOUN
brj-22715	263	16	of	of	ADP
brj-22715	263	17	forest	forest	NOUN
brj-22715	263	18	resources	resource	NOUN
brj-22715	263	19	,	,	PUNCT
brj-22715	263	20	”	"	PUNCT
brj-22715	263	21	remote	remote	ADJ
brj-22715	263	22	sensing	sense	VERB
brj-22715	263	23	applications	application	NOUN
brj-22715	263	24	:	:	PUNCT
brj-22715	263	25	society	society	NOUN
brj-22715	263	26	and	and	CCONJ
brj-22715	263	27	environment	environment	NOUN
brj-22715	263	28	29	29	NUM
brj-22715	263	29	,	,	PUNCT
brj-22715	263	30	article	article	NOUN
brj-22715	263	31	i	i	PROPN
brj-22715	263	32	d	d	PROPN
brj-22715	263	33	100917	100917	NUM
brj-22715	263	34	.	.	PUNCT
brj-22715	264	1	doi	doi	NOUN
brj-22715	264	2	:	:	PUNCT
brj-22715	264	3	10.1016	10.1016	NUM
brj-22715	264	4	/	/	SYM
brj-22715	264	5	j.rsase.2022.100917	j.rsase.2022.100917	PROPN
brj-22715	264	6	sarker	sarker	NOUN
brj-22715	264	7	,	,	PUNCT
brj-22715	264	8	i.	i.	PROPN
brj-22715	264	9	h.	h.	PROPN
brj-22715	264	10	(	(	PUNCT
brj-22715	264	11	2021	2021	NUM
brj-22715	264	12	)	)	PUNCT
brj-22715	264	13	.	.	PUNCT
brj-22715	265	1	“	"	PUNCT
brj-22715	265	2	machine	machine	NOUN
brj-22715	265	3	learning	learning	NOUN
brj-22715	265	4	:	:	PUNCT
brj-22715	265	5	algorithms	algorithm	NOUN
brj-22715	265	6	,	,	PUNCT
brj-22715	265	7	real	real	ADJ
brj-22715	265	8	-	-	PUNCT
brj-22715	265	9	world	world	NOUN
brj-22715	265	10	applications	application	NOUN
brj-22715	265	11	and	and	CCONJ
brj-22715	265	12	research	research	NOUN
brj-22715	265	13	directions	direction	NOUN
brj-22715	265	14	,	,	PUNCT
brj-22715	265	15	”	"	PUNCT
brj-22715	265	16	sn	sn	PROPN
brj-22715	265	17	computer	computer	NOUN
brj-22715	265	18	science	science	PROPN
brj-22715	265	19	2(3	2(3	PROPN
brj-22715	265	20	)	)	PUNCT
brj-22715	265	21	,	,	PUNCT
brj-22715	265	22	160	160	NUM
brj-22715	265	23	.	.	PUNCT
brj-22715	266	1	doi	doi	NOUN
brj-22715	266	2	:	:	PUNCT
brj-22715	266	3	10.1007	10.1007	NUM
brj-22715	266	4	/	/	SYM
brj-22715	266	5	s42979	s42979	NOUN
brj-22715	266	6	-	-	PUNCT
brj-22715	266	7	021	021	NUM
brj-22715	266	8	-	-	PUNCT
brj-22715	266	9	00592	00592	NUM
brj-22715	266	10	-	-	PUNCT
brj-22715	266	11	x	x	SYM
brj-22715	266	12	schonlau	schonlau	NOUN
brj-22715	266	13	,	,	PUNCT
brj-22715	266	14	m.	m.	NOUN
brj-22715	266	15	,	,	PUNCT
brj-22715	266	16	and	and	CCONJ
brj-22715	266	17	zou	zou	PROPN
brj-22715	266	18	,	,	PUNCT
brj-22715	266	19	r.	r.	PROPN
brj-22715	266	20	y.	y.	PROPN
brj-22715	266	21	(	(	PUNCT
brj-22715	266	22	2020	2020	NUM
brj-22715	266	23	)	)	PUNCT
brj-22715	266	24	.	.	PUNCT
brj-22715	267	1	“	"	PUNCT
brj-22715	267	2	the	the	DET
brj-22715	267	3	random	random	ADJ
brj-22715	267	4	forest	forest	NOUN
brj-22715	267	5	algorithm	algorithm	NOUN
brj-22715	267	6	for	for	ADP
brj-22715	267	7	statistical	statistical	ADJ
brj-22715	267	8	learning	learning	NOUN
brj-22715	267	9	,	,	PUNCT
brj-22715	267	10	”	"	PUNCT
brj-22715	267	11	the	the	DET
brj-22715	267	12	stata	stata	PROPN
brj-22715	267	13	journal	journal	PROPN
brj-22715	267	14	20(1	20(1	PROPN
brj-22715	267	15	)	)	PUNCT
brj-22715	267	16	,	,	PUNCT
brj-22715	267	17	3	3	NUM
brj-22715	267	18	-	-	SYM
brj-22715	267	19	29	29	NUM
brj-22715	267	20	.	.	PUNCT
brj-22715	268	1	doi	doi	NOUN
brj-22715	268	2	:	:	PUNCT
brj-22715	268	3	10.1177/1536867x20909688	10.1177/1536867x20909688	PROPN
brj-22715	268	4	velten	velten	NOUN
brj-22715	268	5	,	,	PUNCT
brj-22715	268	6	k.	k.	PROPN
brj-22715	268	7	,	,	PUNCT
brj-22715	268	8	reinicke	reinicke	PROPN
brj-22715	268	9	,	,	PUNCT
brj-22715	268	10	r.	r.	PROPN
brj-22715	268	11	,	,	PUNCT
brj-22715	268	12	and	and	CCONJ
brj-22715	268	13	friedrich	friedrich	PROPN
brj-22715	268	14	,	,	PUNCT
brj-22715	268	15	k.	k.	PROPN
brj-22715	268	16	(	(	PUNCT
brj-22715	268	17	2000	2000	NUM
brj-22715	268	18	)	)	PUNCT
brj-22715	268	19	.	.	PUNCT
brj-22715	269	1	“	"	PUNCT
brj-22715	269	2	wear	wear	VERB
brj-22715	269	3	volume	volume	NOUN
brj-22715	269	4	prediction	prediction	NOUN
brj-22715	269	5	with	with	ADP
brj-22715	269	6	artificial	artificial	ADJ
brj-22715	269	7	neural	neural	ADJ
brj-22715	269	8	networks	network	NOUN
brj-22715	269	9	,	,	PUNCT
brj-22715	269	10	”	"	PUNCT
brj-22715	269	11	tribology	tribology	NOUN
brj-22715	269	12	international	international	ADJ
brj-22715	269	13	33(10	33(10	PROPN
brj-22715	269	14	)	)	PUNCT
brj-22715	269	15	,	,	PUNCT
brj-22715	269	16	731	731	NUM
brj-22715	269	17	-	-	SYM
brj-22715	269	18	736	736	NUM
brj-22715	269	19	.	.	PUNCT
brj-22715	270	1	doi	doi	NOUN
brj-22715	270	2	:	:	PUNCT
brj-22715	270	3	10.1016	10.1016	NUM
brj-22715	270	4	/	/	SYM
brj-22715	270	5	s0301	s0301	PROPN
brj-22715	270	6	-	-	PUNCT
brj-22715	270	7	679x(00)00115	679x(00)00115	ADP
brj-22715	270	8	-	-	PUNCT
brj-22715	270	9	8	8	NUM
brj-22715	270	10	wadie	wadie	NOUN
brj-22715	270	11	,	,	PUNCT
brj-22715	270	12	b.	b.	PROPN
brj-22715	270	13	s.	s.	PROPN
brj-22715	270	14	,	,	PUNCT
brj-22715	270	15	badawi	badawi	PROPN
brj-22715	270	16	,	,	PUNCT
brj-22715	270	17	a.	a.	NOUN
brj-22715	270	18	m.	m.	NOUN
brj-22715	270	19	,	,	PUNCT
brj-22715	270	20	abdelwahed	abdelwahe	VERB
brj-22715	270	21	,	,	PUNCT
brj-22715	270	22	m.	m.	NOUN
brj-22715	270	23	,	,	PUNCT
brj-22715	270	24	and	and	CCONJ
brj-22715	270	25	elemabay	elemabay	PROPN
brj-22715	270	26	,	,	PUNCT
brj-22715	270	27	s.	s.	PROPN
brj-22715	270	28	m.	m.	PROPN
brj-22715	270	29	(	(	PUNCT
brj-22715	270	30	2006	2006	NUM
brj-22715	270	31	)	)	PUNCT
brj-22715	270	32	.	.	PUNCT
brj-22715	271	1	“	"	PUNCT
brj-22715	271	2	application	application	NOUN
brj-22715	271	3	of	of	ADP
brj-22715	271	4	artificial	artificial	ADJ
brj-22715	271	5	neural	neural	ADJ
brj-22715	271	6	network	network	NOUN
brj-22715	271	7	in	in	ADP
brj-22715	271	8	prediction	prediction	NOUN
brj-22715	271	9	of	of	ADP
brj-22715	271	10	bladder	bladder	NOUN
brj-22715	271	11	outlet	outlet	NOUN
brj-22715	271	12	obstruction	obstruction	NOUN
brj-22715	271	13	:	:	PUNCT
brj-22715	271	14	a	a	DET
brj-22715	271	15	model	model	NOUN
brj-22715	271	16	based	base	VERB
brj-22715	271	17	on	on	ADP
brj-22715	271	18	objective	objective	ADJ
brj-22715	271	19	,	,	PUNCT
brj-22715	271	20	noninvasive	noninvasive	ADJ
brj-22715	271	21	parameters	parameter	NOUN
brj-22715	271	22	,	,	PUNCT
brj-22715	271	23	”	"	PUNCT
brj-22715	271	24	urology	urology	NOUN
brj-22715	271	25	68(6	68(6	NOUN
brj-22715	271	26	)	)	PUNCT
brj-22715	271	27	,	,	PUNCT
brj-22715	271	28	1211	1211	NUM
brj-22715	271	29	-	-	SYM
brj-22715	271	30	1214	1214	NUM
brj-22715	271	31	.	.	PUNCT
brj-22715	272	1	doi	doi	NOUN
brj-22715	272	2	:	:	PUNCT
brj-22715	272	3	10.1016	10.1016	NUM
brj-22715	272	4	/	/	SYM
brj-22715	272	5	j.urology.2006.08.1079	j.urology.2006.08.1079	PROPN
brj-22715	272	6	zavadskas	zavadskas	PROPN
brj-22715	272	7	,	,	PUNCT
brj-22715	272	8	e.	e.	PROPN
brj-22715	272	9	k.	k.	PROPN
brj-22715	272	10	,	,	PUNCT
brj-22715	272	11	turskis	turskis	PROPN
brj-22715	272	12	,	,	PUNCT
brj-22715	272	13	z.	z.	PROPN
brj-22715	272	14	,	,	PUNCT
brj-22715	272	15	ustinovichius	ustinovichius	PROPN
brj-22715	272	16	,	,	PUNCT
brj-22715	272	17	l.	l.	PROPN
brj-22715	272	18	,	,	PUNCT
brj-22715	272	19	and	and	CCONJ
brj-22715	272	20	shevchenko	shevchenko	NOUN
brj-22715	272	21	,	,	PUNCT
brj-22715	272	22	g.	g.	PROPN
brj-22715	272	23	(	(	PUNCT
brj-22715	272	24	2010	2010	NUM
brj-22715	272	25	)	)	PUNCT
brj-22715	272	26	.	.	PUNCT
brj-22715	273	1	“	"	PUNCT
brj-22715	273	2	attributes	attribute	VERB
brj-22715	273	3	weights	weight	NOUN
brj-22715	273	4	determining	determine	VERB
brj-22715	273	5	peculiarities	peculiarity	NOUN
brj-22715	273	6	in	in	ADP
brj-22715	273	7	multiple	multiple	ADJ
brj-22715	273	8	attribute	attribute	NOUN
brj-22715	273	9	decision	decision	NOUN
brj-22715	273	10	making	make	VERB
brj-22715	273	11	methods	method	NOUN
brj-22715	273	12	,	,	PUNCT
brj-22715	273	13	”	"	PUNCT
brj-22715	273	14	engineering	engineering	NOUN
brj-22715	273	15	economics	economic	NOUN
brj-22715	273	16	66(1	66(1	NOUN
brj-22715	273	17	)	)	PUNCT
brj-22715	273	18	,	,	PUNCT
brj-22715	273	19	32	32	NUM
brj-22715	273	20	-	-	SYM
brj-22715	273	21	43	43	NUM
brj-22715	273	22	.	.	PUNCT
brj-22715	274	1	doi	doi	NOUN
brj-22715	274	2	:	:	PUNCT
brj-22715	274	3	10.3846	10.3846	NUM
brj-22715	274	4	/	/	SYM
brj-22715	274	5	transport.2010.52	transport.2010.52	NOUN
brj-22715	274	6	zhao	zhao	PROPN
brj-22715	274	7	,	,	PUNCT
brj-22715	274	8	h.	h.	PROPN
brj-22715	274	9	,	,	PUNCT
brj-22715	274	10	yao	yao	PROPN
brj-22715	274	11	,	,	PUNCT
brj-22715	274	12	x.	x.	PROPN
brj-22715	274	13	,	,	PUNCT
brj-22715	274	14	liu	liu	PROPN
brj-22715	274	15	,	,	PUNCT
brj-22715	274	16	z.	z.	PROPN
brj-22715	274	17	,	,	PUNCT
brj-22715	274	18	and	and	CCONJ
brj-22715	274	19	yang	yang	PROPN
brj-22715	274	20	,	,	PUNCT
brj-22715	274	21	q.	q.	PROPN
brj-22715	274	22	(	(	PUNCT
brj-22715	274	23	2021	2021	NUM
brj-22715	274	24	)	)	PUNCT
brj-22715	274	25	.	.	PUNCT
brj-22715	275	1	“	"	PUNCT
brj-22715	275	2	impact	impact	NOUN
brj-22715	275	3	of	of	ADP
brj-22715	275	4	pricing	pricing	NOUN
brj-22715	275	5	and	and	CCONJ
brj-22715	275	6	product	product	NOUN
brj-22715	275	7	information	information	NOUN
brj-22715	275	8	on	on	ADP
brj-22715	275	9	consumer	consumer	NOUN
brj-22715	275	10	buying	buying	NOUN
brj-22715	275	11	behavior	behavior	NOUN
brj-22715	275	12	with	with	ADP
brj-22715	275	13	customer	customer	NOUN
brj-22715	275	14	satisfaction	satisfaction	NOUN
brj-22715	275	15	in	in	ADP
brj-22715	275	16	a	a	DET
brj-22715	275	17	mediating	mediate	VERB
brj-22715	275	18	role	role	NOUN
brj-22715	275	19	,	,	PUNCT
brj-22715	275	20	”	"	PUNCT
brj-22715	275	21	frontiers	frontier	NOUN
brj-22715	275	22	in	in	ADP
brj-22715	275	23	psychology	psychology	NOUN
brj-22715	275	24	12	12	NUM
brj-22715	275	25	,	,	PUNCT
brj-22715	275	26	article	article	NOUN
brj-22715	275	27	720151	720151	NUM
brj-22715	275	28	.	.	PUNCT
brj-22715	276	1	doi	doi	NOUN
brj-22715	276	2	:	:	PUNCT
brj-22715	276	3	10.3389	10.3389	NUM
brj-22715	276	4	/	/	SYM
brj-22715	276	5	fpsyg.2021.720151	fpsyg.2021.720151	NOUN
brj-22715	276	6	zhou	zhou	PROPN
brj-22715	276	7	,	,	PUNCT
brj-22715	276	8	j.	j.	PROPN
brj-22715	276	9	,	,	PUNCT
brj-22715	276	10	wei	wei	PROPN
brj-22715	276	11	,	,	PUNCT
brj-22715	276	12	j.	j.	PROPN
brj-22715	276	13	,	,	PUNCT
brj-22715	276	14	and	and	CCONJ
brj-22715	276	15	xu	xu	PROPN
brj-22715	276	16	,	,	PUNCT
brj-22715	276	17	b.	b.	PROPN
brj-22715	276	18	(	(	PUNCT
brj-22715	276	19	2021	2021	NUM
brj-22715	276	20	)	)	PUNCT
brj-22715	276	21	.	.	PUNCT
brj-22715	277	1	“	"	PUNCT
brj-22715	277	2	customer	customer	NOUN
brj-22715	277	3	segmentation	segmentation	NOUN
brj-22715	277	4	by	by	ADP
brj-22715	277	5	web	web	NOUN
brj-22715	277	6	content	content	NOUN
brj-22715	277	7	mining	mining	NOUN
brj-22715	277	8	,	,	PUNCT
brj-22715	277	9	”	"	PUNCT
brj-22715	277	10	journal	journal	NOUN
brj-22715	277	11	of	of	ADP
brj-22715	277	12	retailing	retailing	NOUN
brj-22715	277	13	and	and	CCONJ
brj-22715	277	14	consumer	consumer	NOUN
brj-22715	277	15	services	service	NOUN
brj-22715	277	16	61	61	NUM
brj-22715	277	17	,	,	PUNCT
brj-22715	277	18	article	article	NOUN
brj-22715	277	19	i	i	PROPN
brj-22715	277	20	d	d	PROPN
brj-22715	277	21	102588	102588	NUM
brj-22715	277	22	.	.	PUNCT
brj-22715	278	1	doi	doi	NOUN
brj-22715	278	2	:	:	PUNCT
brj-22715	278	3	10.1016	10.1016	NUM
brj-22715	278	4	/	/	SYM
brj-22715	278	5	j.jretconser.2021.102588	j.jretconser.2021.102588	PROPN
brj-22715	278	6	article	article	NOUN
brj-22715	278	7	submitted	submit	VERB
brj-22715	278	8	:	:	PUNCT
brj-22715	278	9	may	may	AUX
brj-22715	278	10	25	25	NUM
brj-22715	278	11	,	,	PUNCT
brj-22715	278	12	2023	2023	NUM
brj-22715	278	13	;	;	PUNCT
brj-22715	278	14	peer	peer	NOUN
brj-22715	278	15	review	review	NOUN
brj-22715	278	16	completed	complete	VERB
brj-22715	278	17	:	:	PUNCT
brj-22715	278	18	august	august	PROPN
brj-22715	278	19	5	5	NUM
brj-22715	278	20	,	,	PUNCT
brj-22715	278	21	2023	2023	NUM
brj-22715	278	22	;	;	PUNCT
brj-22715	278	23	revised	revise	VERB
brj-22715	278	24	version	version	NOUN
brj-22715	278	25	received	receive	VERB
brj-22715	278	26	and	and	CCONJ
brj-22715	278	27	accepted	accept	VERB
brj-22715	278	28	:	:	PUNCT
brj-22715	278	29	august	august	PROPN
brj-22715	278	30	31	31	NUM
brj-22715	278	31	,	,	PUNCT
brj-22715	278	32	2023	2023	NUM
brj-22715	278	33	;	;	PUNCT
brj-22715	278	34	published	publish	VERB
brj-22715	278	35	:	:	PUNCT
brj-22715	278	36	september	september	PROPN
brj-22715	278	37	11	11	NUM
brj-22715	278	38	,	,	PUNCT
brj-22715	278	39	2023	2023	NUM
brj-22715	278	40	.	.	PUNCT
brj-22715	279	1	doi	doi	NOUN
brj-22715	279	2	:	:	PUNCT
brj-22715	279	3	10.15376	10.15376	NUM
brj-22715	279	4	/	/	SYM
brj-22715	279	5	biores.18.4.7412	biores.18.4.7412	PROPN
brj-22715	279	6	-	-	PUNCT
brj-22715	279	7	7427	7427	NUM
brj-22715	279	8	https://doi.org/10.1038/s41598-023-36431-7	https://doi.org/10.1038/s41598-023-36431-7	NOUN
brj-22715	279	9	https://doi.org/10.1038/s41598-023-36431-7	https://doi.org/10.1038/s41598-023-36431-7	NUM
brj-22715	280	1	https://doi.org/10.3389/fpsyg.2021.720151	https://doi.org/10.3389/fpsyg.2021.720151	PROPN