id	sid	tid	token	lemma	pos
iajs-1978	1	1	microsoft	microsoft	PROPN
iajs-1978	1	2	word	word	NOUN
iajs-1978	1	3	197	197	NUM
iajs-1978	1	4	-	-	SYM
iajs-1978	1	5	204	204	NUM
iajs-1978	1	6	197	197	NUM
iajs-1978	1	7	ibn	ibn	PROPN
iajs-1978	1	8	al	al	PROPN
iajs-1978	1	9	-	-	PUNCT
iajs-1978	1	10	haitham	haitham	PROPN
iajs-1978	1	11	jour	jour	X
iajs-1978	1	12	.	.	PROPN
iajs-1978	2	1	for	for	ADP
iajs-1978	2	2	pure	pure	ADJ
iajs-1978	2	3	&	&	CCONJ
iajs-1978	2	4	appl	appl	PROPN
iajs-1978	2	5	.	.	PUNCT
iajs-1978	3	1	sci	sci	PROPN
iajs-1978	3	2	.	.	PROPN
iajs-1978	3	3	ihjpas	ihjpa	VERB
iajs-1978	3	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	3	5	vol	vol	NOUN
iajs-1978	3	6	.	.	PUNCT
iajs-1978	4	1	32	32	NUM
iajs-1978	4	2	(	(	PUNCT
iajs-1978	4	3	1	1	NUM
iajs-1978	4	4	)	)	SYM
iajs-1978	4	5	2019	2019	NUM
iajs-1978	4	6	text	text	NOUN
iajs-1978	4	7	classification	classification	NOUN
iajs-1978	4	8	based	base	VERB
iajs-1978	4	9	on	on	ADP
iajs-1978	4	10	weighted	weight	VERB
iajs-1978	4	11	extreme	extreme	ADJ
iajs-1978	4	12	learning	learning	NOUN
iajs-1978	4	13	machine	machine	NOUN
iajs-1978	4	14	hayder	hayder	PROPN
iajs-1978	4	15	mahmood	mahmood	PROPN
iajs-1978	4	16	salman	salman	PROPN
iajs-1978	4	17	al	al	PROPN
iajs-1978	4	18	-	-	PUNCT
iajs-1978	4	19	turath	turath	PROPN
iajs-1978	4	20	university	university	PROPN
iajs-1978	4	21	college	college	NOUN
iajs-1978	4	22	/department	/department	PROPN
iajs-1978	4	23	of	of	ADP
iajs-1978	4	24	computer	computer	NOUN
iajs-1978	4	25	science	science	NOUN
iajs-1978	4	26	hayder4all@yahoo.com	hayder4all@yahoo.com	NOUN
iajs-1978	4	27	article	article	NOUN
iajs-1978	4	28	history	history	NOUN
iajs-1978	4	29	:	:	PUNCT
iajs-1978	4	30	received	receive	VERB
iajs-1978	4	31	in:6october2018	in:6october2018	NOUN
iajs-1978	4	32	,	,	PUNCT
iajs-1978	4	33	accepted	accept	VERB
iajs-1978	4	34	in:1	in:1	PROPN
iajs-1978	4	35	november2018	november2018	PROPN
iajs-1978	4	36	,	,	PUNCT
iajs-1978	4	37	publish	publish	VERB
iajs-1978	4	38	january	january	PROPN
iajs-1978	4	39	2019	2019	NUM
iajs-1978	4	40	abstract	abstract	ADV
iajs-1978	4	41	the	the	DET
iajs-1978	4	42	huge	huge	ADJ
iajs-1978	4	43	amount	amount	NOUN
iajs-1978	4	44	of	of	ADP
iajs-1978	4	45	documents	document	NOUN
iajs-1978	4	46	in	in	ADP
iajs-1978	4	47	the	the	DET
iajs-1978	4	48	internet	internet	NOUN
iajs-1978	4	49	led	lead	VERB
iajs-1978	4	50	to	to	ADP
iajs-1978	4	51	the	the	DET
iajs-1978	4	52	rapid	rapid	ADJ
iajs-1978	4	53	need	need	NOUN
iajs-1978	4	54	of	of	ADP
iajs-1978	4	55	text	text	NOUN
iajs-1978	4	56	classification	classification	NOUN
iajs-1978	4	57	(	(	PUNCT
iajs-1978	4	58	tc	tc	NOUN
iajs-1978	4	59	)	)	PUNCT
iajs-1978	4	60	.	.	PUNCT
iajs-1978	5	1	tc	tc	PROPN
iajs-1978	5	2	is	be	AUX
iajs-1978	5	3	used	use	VERB
iajs-1978	5	4	to	to	PART
iajs-1978	5	5	organize	organize	VERB
iajs-1978	5	6	these	these	DET
iajs-1978	5	7	text	text	NOUN
iajs-1978	5	8	documents	document	NOUN
iajs-1978	5	9	.	.	PUNCT
iajs-1978	6	1	in	in	ADP
iajs-1978	6	2	this	this	DET
iajs-1978	6	3	research	research	NOUN
iajs-1978	6	4	paper	paper	NOUN
iajs-1978	6	5	,	,	PUNCT
iajs-1978	6	6	a	a	DET
iajs-1978	6	7	new	new	ADJ
iajs-1978	6	8	model	model	NOUN
iajs-1978	6	9	is	be	AUX
iajs-1978	6	10	based	base	VERB
iajs-1978	6	11	on	on	ADP
iajs-1978	6	12	extreme	extreme	ADJ
iajs-1978	6	13	machine	machine	NOUN
iajs-1978	6	14	learning	learning	NOUN
iajs-1978	6	15	(	(	PUNCT
iajs-1978	6	16	eml	eml	PROPN
iajs-1978	6	17	)	)	PUNCT
iajs-1978	6	18	is	be	AUX
iajs-1978	6	19	used	use	VERB
iajs-1978	6	20	.	.	PUNCT
iajs-1978	7	1	the	the	DET
iajs-1978	7	2	proposed	propose	VERB
iajs-1978	7	3	model	model	NOUN
iajs-1978	7	4	consists	consist	VERB
iajs-1978	7	5	of	of	ADP
iajs-1978	7	6	many	many	ADJ
iajs-1978	7	7	phases	phase	NOUN
iajs-1978	7	8	including	include	VERB
iajs-1978	7	9	:	:	PUNCT
iajs-1978	7	10	preprocessing	preprocessing	NOUN
iajs-1978	7	11	,	,	PUNCT
iajs-1978	7	12	feature	feature	NOUN
iajs-1978	7	13	extraction	extraction	NOUN
iajs-1978	7	14	,	,	PUNCT
iajs-1978	7	15	multiple	multiple	ADJ
iajs-1978	7	16	linear	linear	ADJ
iajs-1978	7	17	regression	regression	NOUN
iajs-1978	7	18	(	(	PUNCT
iajs-1978	7	19	mlr	mlr	NOUN
iajs-1978	7	20	)	)	PUNCT
iajs-1978	7	21	and	and	CCONJ
iajs-1978	7	22	elm	elm	PROPN
iajs-1978	7	23	.	.	PUNCT
iajs-1978	8	1	the	the	DET
iajs-1978	8	2	basic	basic	ADJ
iajs-1978	8	3	idea	idea	NOUN
iajs-1978	8	4	of	of	ADP
iajs-1978	8	5	the	the	DET
iajs-1978	8	6	proposed	propose	VERB
iajs-1978	8	7	model	model	NOUN
iajs-1978	8	8	is	be	AUX
iajs-1978	8	9	built	build	VERB
iajs-1978	8	10	upon	upon	SCONJ
iajs-1978	8	11	the	the	DET
iajs-1978	8	12	calculation	calculation	NOUN
iajs-1978	8	13	of	of	ADP
iajs-1978	8	14	feature	feature	NOUN
iajs-1978	8	15	weights	weight	NOUN
iajs-1978	8	16	by	by	ADP
iajs-1978	8	17	using	use	VERB
iajs-1978	8	18	mlr	mlr	NOUN
iajs-1978	8	19	.	.	PUNCT
iajs-1978	9	1	these	these	PRON
iajs-1978	9	2	feature	feature	VERB
iajs-1978	9	3	weights	weight	NOUN
iajs-1978	9	4	with	with	ADP
iajs-1978	9	5	the	the	DET
iajs-1978	9	6	extracted	extract	VERB
iajs-1978	9	7	features	feature	NOUN
iajs-1978	9	8	introduced	introduce	VERB
iajs-1978	9	9	as	as	ADP
iajs-1978	9	10	an	an	DET
iajs-1978	9	11	input	input	NOUN
iajs-1978	9	12	to	to	ADP
iajs-1978	9	13	the	the	DET
iajs-1978	9	14	elm	elm	NOUN
iajs-1978	9	15	that	that	PRON
iajs-1978	9	16	produced	produce	VERB
iajs-1978	9	17	weighted	weight	VERB
iajs-1978	9	18	extreme	extreme	ADJ
iajs-1978	9	19	learning	learning	NOUN
iajs-1978	9	20	machine	machine	NOUN
iajs-1978	9	21	(	(	PUNCT
iajs-1978	9	22	welm	welm	NOUN
iajs-1978	9	23	)	)	PUNCT
iajs-1978	9	24	.	.	PUNCT
iajs-1978	10	1	the	the	DET
iajs-1978	10	2	results	result	NOUN
iajs-1978	10	3	showed	show	VERB
iajs-1978	10	4	a	a	DET
iajs-1978	10	5	great	great	ADJ
iajs-1978	10	6	competence	competence	NOUN
iajs-1978	10	7	of	of	ADP
iajs-1978	10	8	the	the	DET
iajs-1978	10	9	proposed	propose	VERB
iajs-1978	10	10	welm	welm	NOUN
iajs-1978	10	11	compared	compare	VERB
iajs-1978	10	12	to	to	ADP
iajs-1978	10	13	the	the	DET
iajs-1978	10	14	elm	elm	PROPN
iajs-1978	10	15	.	.	PUNCT
iajs-1978	11	1	keywords	keyword	NOUN
iajs-1978	11	2	:	:	PUNCT
iajs-1978	11	3	text	text	NOUN
iajs-1978	11	4	classification	classification	NOUN
iajs-1978	11	5	,	,	PUNCT
iajs-1978	11	6	multiple	multiple	ADJ
iajs-1978	11	7	linear	linear	NOUN
iajs-1978	11	8	regression	regression	NOUN
iajs-1978	11	9	,	,	PUNCT
iajs-1978	11	10	extreme	extreme	ADJ
iajs-1978	11	11	machine	machine	NOUN
iajs-1978	11	12	learning	learning	NOUN
iajs-1978	11	13	.	.	PUNCT
iajs-1978	12	1	1.introduction	1.introduction	NUM
iajs-1978	12	2	through	through	ADP
iajs-1978	12	3	the	the	DET
iajs-1978	12	4	growing	growing	NOUN
iajs-1978	12	5	of	of	ADP
iajs-1978	12	6	social	social	ADJ
iajs-1978	12	7	networks	network	NOUN
iajs-1978	12	8	,	,	PUNCT
iajs-1978	12	9	a	a	DET
iajs-1978	12	10	huge	huge	ADJ
iajs-1978	12	11	quantity	quantity	NOUN
iajs-1978	12	12	of	of	ADP
iajs-1978	12	13	text	text	NOUN
iajs-1978	12	14	data	datum	NOUN
iajs-1978	12	15	is	be	AUX
iajs-1978	12	16	quickly	quickly	ADV
iajs-1978	12	17	generated	generate	VERB
iajs-1978	12	18	,	,	PUNCT
iajs-1978	12	19	the	the	DET
iajs-1978	12	20	need	need	NOUN
iajs-1978	12	21	for	for	ADP
iajs-1978	12	22	a	a	DET
iajs-1978	12	23	well	well	ADV
iajs-1978	12	24	-	-	PUNCT
iajs-1978	12	25	defined	define	VERB
iajs-1978	12	26	methodology	methodology	NOUN
iajs-1978	12	27	to	to	PART
iajs-1978	12	28	analyze	analyze	VERB
iajs-1978	12	29	and	and	CCONJ
iajs-1978	12	30	classify	classify	VERB
iajs-1978	12	31	these	these	DET
iajs-1978	12	32	voluminous	voluminous	ADJ
iajs-1978	12	33	data	datum	NOUN
iajs-1978	12	34	has	have	AUX
iajs-1978	12	35	drawn	draw	VERB
iajs-1978	12	36	many	many	ADJ
iajs-1978	12	37	communities	community	NOUN
iajs-1978	12	38	'	'	PART
iajs-1978	12	39	attention	attention	NOUN
iajs-1978	12	40	to	to	ADP
iajs-1978	12	41	this	this	DET
iajs-1978	12	42	kind	kind	NOUN
iajs-1978	12	43	of	of	ADP
iajs-1978	12	44	data	datum	NOUN
iajs-1978	12	45	which	which	PRON
iajs-1978	12	46	is	be	AUX
iajs-1978	12	47	known	know	VERB
iajs-1978	12	48	as	as	ADP
iajs-1978	12	49	unstructured	unstructured	ADJ
iajs-1978	12	50	data	datum	NOUN
iajs-1978	12	51	[	[	X
iajs-1978	12	52	1	1	NUM
iajs-1978	12	53	]	]	PUNCT
iajs-1978	12	54	.	.	PUNCT
iajs-1978	13	1	this	this	DET
iajs-1978	13	2	phenomenon	phenomenon	NOUN
iajs-1978	13	3	which	which	PRON
iajs-1978	13	4	made	make	VERB
iajs-1978	13	5	the	the	DET
iajs-1978	13	6	importance	importance	NOUN
iajs-1978	13	7	of	of	ADP
iajs-1978	13	8	text	text	NOUN
iajs-1978	13	9	classification	classification	NOUN
iajs-1978	13	10	begins	begin	VERB
iajs-1978	13	11	to	to	PART
iajs-1978	13	12	spring	spring	VERB
iajs-1978	13	13	up	up	ADP
iajs-1978	13	14	.	.	PUNCT
iajs-1978	14	1	text	text	NOUN
iajs-1978	14	2	classification	classification	NOUN
iajs-1978	14	3	(	(	PUNCT
iajs-1978	14	4	tc	tc	NOUN
iajs-1978	14	5	)	)	PUNCT
iajs-1978	14	6	is	be	AUX
iajs-1978	14	7	the	the	DET
iajs-1978	14	8	way	way	NOUN
iajs-1978	14	9	toward	toward	ADP
iajs-1978	14	10	assigning	assign	VERB
iajs-1978	14	11	a	a	DET
iajs-1978	14	12	document	document	NOUN
iajs-1978	14	13	to	to	ADP
iajs-1978	14	14	a	a	DET
iajs-1978	14	15	class	class	NOUN
iajs-1978	14	16	by	by	ADP
iajs-1978	14	17	assessing	assess	VERB
iajs-1978	14	18	its	its	PRON
iajs-1978	14	19	content	content	NOUN
iajs-1978	14	20	segments	segment	NOUN
iajs-1978	14	21	.	.	PUNCT
iajs-1978	15	1	it	it	PRON
iajs-1978	15	2	has	have	AUX
iajs-1978	15	3	been	be	AUX
iajs-1978	15	4	applied	apply	VERB
iajs-1978	15	5	effectively	effectively	ADV
iajs-1978	15	6	on	on	ADP
iajs-1978	15	7	various	various	ADJ
iajs-1978	15	8	occasions	occasion	NOUN
iajs-1978	15	9	and	and	CCONJ
iajs-1978	15	10	is	be	AUX
iajs-1978	15	11	incorporated	incorporate	VERB
iajs-1978	15	12	in	in	ADP
iajs-1978	15	13	our	our	PRON
iajs-1978	15	14	regular	regular	ADJ
iajs-1978	15	15	day	day	NOUN
iajs-1978	15	16	to	to	ADP
iajs-1978	15	17	day	day	NOUN
iajs-1978	15	18	existences	existence	NOUN
iajs-1978	15	19	.	.	PUNCT
iajs-1978	16	1	for	for	ADP
iajs-1978	16	2	example	example	NOUN
iajs-1978	16	3	,	,	PUNCT
iajs-1978	16	4	daily	daily	ADJ
iajs-1978	16	5	paper	paper	NOUN
iajs-1978	16	6	articles	article	NOUN
iajs-1978	16	7	and	and	CCONJ
iajs-1978	16	8	scholastic	scholastic	ADJ
iajs-1978	16	9	papers	paper	NOUN
iajs-1978	16	10	are	be	AUX
iajs-1978	16	11	frequently	frequently	ADV
iajs-1978	16	12	composed	compose	VERB
iajs-1978	16	13	by	by	ADP
iajs-1978	16	14	subject	subject	NOUN
iajs-1978	16	15	or	or	CCONJ
iajs-1978	16	16	field	field	NOUN
iajs-1978	16	17	[	[	X
iajs-1978	16	18	2	2	NUM
iajs-1978	16	19	]	]	PUNCT
iajs-1978	16	20	.	.	PUNCT
iajs-1978	17	1	tc	tc	PROPN
iajs-1978	17	2	gives	give	VERB
iajs-1978	17	3	a	a	DET
iajs-1978	17	4	solution	solution	NOUN
iajs-1978	17	5	in	in	ADP
iajs-1978	17	6	consequently	consequently	ADV
iajs-1978	17	7	arranging	arrange	VERB
iajs-1978	17	8	innumerable	innumerable	ADJ
iajs-1978	17	9	articles	article	NOUN
iajs-1978	17	10	and	and	CCONJ
iajs-1978	17	11	papers	paper	NOUN
iajs-1978	17	12	.	.	PUNCT
iajs-1978	18	1	another	another	DET
iajs-1978	18	2	notable	notable	ADJ
iajs-1978	18	3	application	application	NOUN
iajs-1978	18	4	is	be	AUX
iajs-1978	18	5	spam	spam	NOUN
iajs-1978	18	6	sifting	sift	VERB
iajs-1978	18	7	.	.	PUNCT
iajs-1978	19	1	tc	tc	PRON
iajs-1978	19	2	can	can	AUX
iajs-1978	19	3	help	help	VERB
iajs-1978	19	4	to	to	PART
iajs-1978	19	5	filter	filter	VERB
iajs-1978	19	6	out	out	ADP
iajs-1978	19	7	the	the	DET
iajs-1978	19	8	annoying	annoying	ADJ
iajs-1978	19	9	emails	email	NOUN
iajs-1978	19	10	automatically	automatically	ADV
iajs-1978	19	11	by	by	ADP
iajs-1978	19	12	classifying	classify	VERB
iajs-1978	19	13	these	these	DET
iajs-1978	19	14	text	text	NOUN
iajs-1978	19	15	emails	email	NOUN
iajs-1978	19	16	as	as	ADP
iajs-1978	19	17	a	a	DET
iajs-1978	19	18	spam	spam	NOUN
iajs-1978	19	19	[	[	X
iajs-1978	19	20	3	3	NUM
iajs-1978	19	21	]	]	PUNCT
iajs-1978	19	22	.	.	PUNCT
iajs-1978	20	1	tc	tc	NUM
iajs-1978	20	2	model	model	NOUN
iajs-1978	20	3	can	can	AUX
iajs-1978	20	4	be	be	AUX
iajs-1978	20	5	divided	divide	VERB
iajs-1978	20	6	into	into	ADP
iajs-1978	20	7	supervised	supervised	ADJ
iajs-1978	20	8	and	and	CCONJ
iajs-1978	20	9	unsupervised	unsupervised	ADJ
iajs-1978	20	10	models	model	NOUN
iajs-1978	20	11	.	.	PUNCT
iajs-1978	21	1	supervised	supervise	VERB
iajs-1978	21	2	classification	classification	NOUN
iajs-1978	21	3	consists	consist	VERB
iajs-1978	21	4	of	of	ADP
iajs-1978	21	5	two	two	NUM
iajs-1978	21	6	phases	phase	NOUN
iajs-1978	21	7	training	training	NOUN
iajs-1978	21	8	phase	phase	NOUN
iajs-1978	21	9	and	and	CCONJ
iajs-1978	21	10	testing	testing	NOUN
iajs-1978	21	11	phase	phase	NOUN
iajs-1978	21	12	.	.	PUNCT
iajs-1978	22	1	during	during	ADP
iajs-1978	22	2	the	the	DET
iajs-1978	22	3	training	training	NOUN
iajs-1978	22	4	phase	phase	NOUN
iajs-1978	22	5	a	a	DET
iajs-1978	22	6	set	set	NOUN
iajs-1978	22	7	of	of	ADP
iajs-1978	22	8	known	know	VERB
iajs-1978	22	9	labeled	label	VERB
iajs-1978	22	10	data	datum	NOUN
iajs-1978	22	11	feeds	feed	VERB
iajs-1978	22	12	to	to	ADP
iajs-1978	22	13	the	the	DET
iajs-1978	22	14	machine	machine	NOUN
iajs-1978	22	15	learning	learning	NOUN
iajs-1978	22	16	algorithm	algorithm	NOUN
iajs-1978	22	17	.	.	PUNCT
iajs-1978	23	1	the	the	DET
iajs-1978	23	2	goal	goal	NOUN
iajs-1978	23	3	of	of	ADP
iajs-1978	23	4	this	this	DET
iajs-1978	23	5	phase	phase	NOUN
iajs-1978	23	6	is	be	AUX
iajs-1978	23	7	to	to	PART
iajs-1978	23	8	reach	reach	VERB
iajs-1978	23	9	the	the	DET
iajs-1978	23	10	desired	desire	VERB
iajs-1978	23	11	output	output	NOUN
iajs-1978	23	12	by	by	ADP
iajs-1978	23	13	train	train	VERB
iajs-1978	23	14	the	the	DET
iajs-1978	23	15	algorithm	algorithm	NOUN
iajs-1978	23	16	.	.	PUNCT
iajs-1978	24	1	through	through	ADP
iajs-1978	24	2	the	the	DET
iajs-1978	24	3	testing	testing	NOUN
iajs-1978	24	4	phase	phase	NOUN
iajs-1978	24	5	,	,	PUNCT
iajs-1978	24	6	a	a	DET
iajs-1978	24	7	set	set	NOUN
iajs-1978	24	8	of	of	ADP
iajs-1978	24	9	unknown	unknown	ADJ
iajs-1978	24	10	,	,	PUNCT
iajs-1978	24	11	labeled	label	VERB
iajs-1978	24	12	data	datum	NOUN
iajs-1978	24	13	feeds	feed	VERB
iajs-1978	24	14	to	to	ADP
iajs-1978	24	15	the	the	DET
iajs-1978	24	16	algorithm	algorithm	NOUN
iajs-1978	24	17	to	to	PART
iajs-1978	24	18	classify	classify	VERB
iajs-1978	24	19	them	they	PRON
iajs-1978	24	20	into	into	ADP
iajs-1978	24	21	classes	class	NOUN
iajs-1978	24	22	depending	depend	VERB
iajs-1978	24	23	on	on	ADP
iajs-1978	24	24	the	the	DET
iajs-1978	24	25	training	training	NOUN
iajs-1978	24	26	phase	phase	NOUN
iajs-1978	24	27	.	.	PUNCT
iajs-1978	25	1	unsupervised	unsupervised	ADJ
iajs-1978	25	2	classification	classification	NOUN
iajs-1978	25	3	not	not	PART
iajs-1978	25	4	required	require	VERB
iajs-1978	25	5	any	any	DET
iajs-1978	25	6	prior	prior	ADJ
iajs-1978	25	7	knowledge	knowledge	NOUN
iajs-1978	25	8	about	about	ADP
iajs-1978	25	9	the	the	DET
iajs-1978	25	10	data	datum	NOUN
iajs-1978	25	11	where	where	SCONJ
iajs-1978	25	12	the	the	DET
iajs-1978	25	13	algorithms	algorithm	NOUN
iajs-1978	25	14	attempt	attempt	VERB
iajs-1978	25	15	to	to	PART
iajs-1978	25	16	learn	learn	VERB
iajs-1978	25	17	the	the	DET
iajs-1978	25	18	input	input	NOUN
iajs-1978	25	19	data	datum	NOUN
iajs-1978	25	20	and	and	CCONJ
iajs-1978	25	21	discover	discover	VERB
iajs-1978	25	22	the	the	DET
iajs-1978	25	23	relationship	relationship	NOUN
iajs-1978	25	24	between	between	ADP
iajs-1978	25	25	similar	similar	ADJ
iajs-1978	25	26	data	datum	NOUN
iajs-1978	25	27	.	.	PUNCT
iajs-1978	26	1	based	base	VERB
iajs-1978	26	2	on	on	ADP
iajs-1978	26	3	this	this	DET
iajs-1978	26	4	similarity	similarity	NOUN
iajs-1978	26	5	the	the	DET
iajs-1978	26	6	algorithms	algorithm	NOUN
iajs-1978	26	7	classify	classify	VERB
iajs-1978	26	8	the	the	DET
iajs-1978	26	9	data	datum	NOUN
iajs-1978	26	10	into	into	ADP
iajs-1978	26	11	classes	class	NOUN
iajs-1978	26	12	.	.	PUNCT
iajs-1978	27	1	the	the	DET
iajs-1978	27	2	data	data	NOUN
iajs-1978	27	3	classification	classification	NOUN
iajs-1978	27	4	is	be	AUX
iajs-1978	27	5	performed	perform	VERB
iajs-1978	27	6	depending	depend	VERB
iajs-1978	27	7	on	on	ADP
iajs-1978	27	8	the	the	DET
iajs-1978	27	9	classes	class	NOUN
iajs-1978	27	10	created	create	VERB
iajs-1978	27	11	.	.	PUNCT
iajs-1978	28	1	a	a	DET
iajs-1978	28	2	web	web	NOUN
iajs-1978	28	3	search	search	NOUN
iajs-1978	28	4	is	be	AUX
iajs-1978	28	5	a	a	DET
iajs-1978	28	6	good	good	ADJ
iajs-1978	28	7	example	example	NOUN
iajs-1978	28	8	of	of	ADP
iajs-1978	28	9	unsupervised	unsupervised	ADJ
iajs-1978	28	10	algorithm	algorithm	NOUN
iajs-1978	28	11	.	.	PUNCT
iajs-1978	29	1	depending	depend	VERB
iajs-1978	29	2	upon	upon	SCONJ
iajs-1978	29	3	the	the	DET
iajs-1978	29	4	search	search	NOUN
iajs-1978	29	5	term	term	NOUN
iajs-1978	29	6	the	the	DET
iajs-1978	29	7	algorithms	algorithms	NOUN
iajs-1978	29	8	makes	make	VERB
iajs-1978	29	9	classes	class	NOUN
iajs-1978	29	10	that	that	PRON
iajs-1978	29	11	provided	provide	VERB
iajs-1978	29	12	to	to	ADP
iajs-1978	29	13	the	the	DET
iajs-1978	29	14	user	user	NOUN
iajs-1978	29	15	[	[	X
iajs-1978	29	16	4	4	NUM
iajs-1978	29	17	]	]	PUNCT
iajs-1978	29	18	.	.	PUNCT
iajs-1978	30	1	classification	classification	NOUN
iajs-1978	30	2	can	can	AUX
iajs-1978	30	3	also	also	ADV
iajs-1978	30	4	be	be	AUX
iajs-1978	30	5	divided	divide	VERB
iajs-1978	30	6	into	into	ADP
iajs-1978	30	7	binary	binary	ADJ
iajs-1978	30	8	classification	classification	NOUN
iajs-1978	30	9	or	or	CCONJ
iajs-1978	30	10	multiclass	multiclass	ADJ
iajs-1978	30	11	classification	classification	NOUN
iajs-1978	30	12	.	.	PUNCT
iajs-1978	31	1	binary	binary	ADJ
iajs-1978	31	2	classification	classification	NOUN
iajs-1978	31	3	attempt	attempt	NOUN
iajs-1978	31	4	to	to	PART
iajs-1978	31	5	arrange	arrange	VERB
iajs-1978	31	6	the	the	DET
iajs-1978	31	7	components	component	NOUN
iajs-1978	31	8	of	of	ADP
iajs-1978	31	9	a	a	DET
iajs-1978	31	10	given	give	VERB
iajs-1978	31	11	198	198	NUM
iajs-1978	31	12	ibn	ibn	PROPN
iajs-1978	31	13	al	al	PROPN
iajs-1978	31	14	-	-	PUNCT
iajs-1978	31	15	haitham	haitham	PROPN
iajs-1978	31	16	jour	jour	X
iajs-1978	31	17	.	.	PROPN
iajs-1978	31	18	for	for	ADP
iajs-1978	31	19	pure	pure	ADJ
iajs-1978	31	20	&	&	CCONJ
iajs-1978	31	21	appl	appl	PROPN
iajs-1978	31	22	.	.	PUNCT
iajs-1978	32	1	sci	sci	PROPN
iajs-1978	32	2	.	.	PROPN
iajs-1978	32	3	ihjpas	ihjpa	VERB
iajs-1978	32	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	32	5	vol	vol	NOUN
iajs-1978	32	6	.	.	PUNCT
iajs-1978	33	1	32	32	NUM
iajs-1978	33	2	(	(	PUNCT
iajs-1978	33	3	1	1	NUM
iajs-1978	33	4	)	)	SYM
iajs-1978	33	5	2019	2019	NUM
iajs-1978	33	6	input	input	NOUN
iajs-1978	33	7	set	set	NOUN
iajs-1978	33	8	of	of	ADP
iajs-1978	33	9	data	datum	NOUN
iajs-1978	33	10	into	into	ADP
iajs-1978	33	11	two	two	NUM
iajs-1978	33	12	classes	class	NOUN
iajs-1978	33	13	based	base	VERB
iajs-1978	33	14	on	on	ADP
iajs-1978	33	15	the	the	DET
iajs-1978	33	16	classification	classification	NOUN
iajs-1978	33	17	rules	rule	NOUN
iajs-1978	33	18	.	.	PUNCT
iajs-1978	34	1	multiclass	multiclass	PROPN
iajs-1978	34	2	is	be	AUX
iajs-1978	34	3	the	the	DET
iajs-1978	34	4	problem	problem	NOUN
iajs-1978	34	5	of	of	ADP
iajs-1978	34	6	classifying	classify	VERB
iajs-1978	34	7	instances	instance	NOUN
iajs-1978	34	8	into	into	ADP
iajs-1978	34	9	one	one	NUM
iajs-1978	34	10	of	of	ADP
iajs-1978	34	11	three	three	NUM
iajs-1978	34	12	or	or	CCONJ
iajs-1978	34	13	more	more	ADJ
iajs-1978	34	14	classes	class	NOUN
iajs-1978	34	15	[	[	X
iajs-1978	34	16	5	5	NUM
iajs-1978	34	17	]	]	PUNCT
iajs-1978	34	18	.	.	PUNCT
iajs-1978	35	1	in	in	ADP
iajs-1978	35	2	research	research	NOUN
iajs-1978	35	3	this	this	DET
iajs-1978	35	4	paper	paper	NOUN
iajs-1978	35	5	a	a	DET
iajs-1978	35	6	model	model	NOUN
iajs-1978	35	7	for	for	ADP
iajs-1978	35	8	tc	tc	NOUN
iajs-1978	35	9	is	be	AUX
iajs-1978	35	10	proposed	propose	VERB
iajs-1978	35	11	.	.	PUNCT
iajs-1978	36	1	the	the	DET
iajs-1978	36	2	model	model	NOUN
iajs-1978	36	3	consists	consist	VERB
iajs-1978	36	4	of	of	ADP
iajs-1978	36	5	many	many	ADJ
iajs-1978	36	6	phases	phase	NOUN
iajs-1978	36	7	that	that	PRON
iajs-1978	36	8	comprise	comprise	VERB
iajs-1978	36	9	:	:	PUNCT
iajs-1978	36	10	preprocessing	preprocessing	NOUN
iajs-1978	36	11	,	,	PUNCT
iajs-1978	36	12	feature	feature	NOUN
iajs-1978	36	13	extraction	extraction	NOUN
iajs-1978	36	14	,	,	PUNCT
iajs-1978	36	15	mlr	mlr	PROPN
iajs-1978	36	16	and	and	CCONJ
iajs-1978	36	17	elm	elm	NOUN
iajs-1978	36	18	is	be	AUX
iajs-1978	36	19	proposed	propose	VERB
iajs-1978	36	20	.	.	PUNCT
iajs-1978	37	1	the	the	DET
iajs-1978	37	2	main	main	ADJ
iajs-1978	37	3	idea	idea	NOUN
iajs-1978	37	4	of	of	ADP
iajs-1978	37	5	the	the	DET
iajs-1978	37	6	proposed	propose	VERB
iajs-1978	37	7	model	model	NOUN
iajs-1978	37	8	based	base	VERB
iajs-1978	37	9	on	on	ADP
iajs-1978	37	10	computing	compute	VERB
iajs-1978	37	11	feature	feature	NOUN
iajs-1978	37	12	weights	weight	NOUN
iajs-1978	37	13	using	use	VERB
iajs-1978	37	14	mlr	mlr	NOUN
iajs-1978	37	15	and	and	CCONJ
iajs-1978	37	16	multiplying	multiply	VERB
iajs-1978	37	17	these	these	DET
iajs-1978	37	18	feature	feature	NOUN
iajs-1978	37	19	weighs	weigh	NOUN
iajs-1978	37	20	by	by	ADP
iajs-1978	37	21	the	the	DET
iajs-1978	37	22	corresponding	correspond	VERB
iajs-1978	37	23	features	feature	NOUN
iajs-1978	37	24	to	to	PART
iajs-1978	37	25	introduce	introduce	VERB
iajs-1978	37	26	as	as	ADP
iajs-1978	37	27	input	input	NOUN
iajs-1978	37	28	to	to	ADP
iajs-1978	37	29	the	the	DET
iajs-1978	37	30	eml	eml	PROPN
iajs-1978	37	31	to	to	PART
iajs-1978	37	32	produced	produce	VERB
iajs-1978	37	33	welm	welm	NOUN
iajs-1978	37	34	.	.	PUNCT
iajs-1978	38	1	2.related	2.related	NUM
iajs-1978	38	2	works	work	VERB
iajs-1978	38	3	in	in	ADP
iajs-1978	38	4	this	this	DET
iajs-1978	38	5	section	section	NOUN
iajs-1978	38	6	some	some	PRON
iajs-1978	38	7	of	of	ADP
iajs-1978	38	8	tc	tc	NOUN
iajs-1978	38	9	methods	method	NOUN
iajs-1978	38	10	will	will	AUX
iajs-1978	38	11	be	be	AUX
iajs-1978	38	12	investigated	investigate	VERB
iajs-1978	38	13	.	.	PUNCT
iajs-1978	39	1	in	in	ADP
iajs-1978	39	2	2014	2014	NUM
iajs-1978	39	3	,	,	PUNCT
iajs-1978	39	4	d.	d.	PROPN
iajs-1978	39	5	renukadevi	renukadevi	PROPN
iajs-1978	39	6	and	and	CCONJ
iajs-1978	39	7	s.	s.	PROPN
iajs-1978	39	8	sumathi	sumathi	PROPN
iajs-1978	40	1	[	[	X
iajs-1978	40	2	9	9	NUM
iajs-1978	40	3	]	]	PUNCT
iajs-1978	40	4	,	,	PUNCT
iajs-1978	40	5	proposed	propose	VERB
iajs-1978	40	6	a	a	DET
iajs-1978	40	7	method	method	NOUN
iajs-1978	40	8	for	for	ADP
iajs-1978	40	9	developing	develop	VERB
iajs-1978	40	10	of	of	ADP
iajs-1978	40	11	information	information	NOUN
iajs-1978	40	12	technology	technology	NOUN
iajs-1978	40	13	and	and	CCONJ
iajs-1978	40	14	cumulative	cumulative	ADJ
iajs-1978	40	15	usability	usability	NOUN
iajs-1978	40	16	of	of	ADP
iajs-1978	40	17	internet	internet	NOUN
iajs-1978	40	18	.	.	PUNCT
iajs-1978	41	1	the	the	DET
iajs-1978	41	2	proposed	propose	VERB
iajs-1978	41	3	model	model	NOUN
iajs-1978	41	4	consists	consist	VERB
iajs-1978	41	5	of	of	ADP
iajs-1978	41	6	many	many	ADJ
iajs-1978	41	7	phases	phase	NOUN
iajs-1978	41	8	.	.	PUNCT
iajs-1978	42	1	the	the	DET
iajs-1978	42	2	preprocessing	preprocessing	NOUN
iajs-1978	42	3	is	be	AUX
iajs-1978	42	4	the	the	DET
iajs-1978	42	5	first	first	ADJ
iajs-1978	42	6	phase	phase	NOUN
iajs-1978	42	7	,	,	PUNCT
iajs-1978	42	8	then	then	ADV
iajs-1978	42	9	the	the	DET
iajs-1978	42	10	term	term	NOUN
iajs-1978	42	11	frequencyinverse	frequencyinverse	ADJ
iajs-1978	42	12	document	document	NOUN
iajs-1978	42	13	frequency	frequency	NOUN
iajs-1978	42	14	(	(	PUNCT
iajs-1978	42	15	tf	tf	PROPN
iajs-1978	42	16	-	-	PUNCT
iajs-1978	42	17	idf	idf	NOUN
iajs-1978	42	18	)	)	PUNCT
iajs-1978	42	19	for	for	ADP
iajs-1978	42	20	each	each	DET
iajs-1978	42	21	term	term	NOUN
iajs-1978	42	22	is	be	AUX
iajs-1978	42	23	calculated	calculate	VERB
iajs-1978	42	24	to	to	PART
iajs-1978	42	25	rank	rank	VERB
iajs-1978	42	26	the	the	DET
iajs-1978	42	27	document	document	NOUN
iajs-1978	42	28	.	.	PUNCT
iajs-1978	43	1	fuzzy	fuzzy	ADJ
iajs-1978	43	2	cmean	cmean	ADJ
iajs-1978	43	3	algorithm	algorithm	NOUN
iajs-1978	43	4	applied	apply	VERB
iajs-1978	43	5	in	in	ADP
iajs-1978	43	6	the	the	DET
iajs-1978	43	7	last	last	ADJ
iajs-1978	43	8	phase	phase	NOUN
iajs-1978	43	9	to	to	PART
iajs-1978	43	10	allow	allow	VERB
iajs-1978	43	11	similar	similar	ADJ
iajs-1978	43	12	data	datum	NOUN
iajs-1978	43	13	to	to	PART
iajs-1978	43	14	be	be	AUX
iajs-1978	43	15	grouped	group	VERB
iajs-1978	43	16	into	into	ADP
iajs-1978	43	17	the	the	DET
iajs-1978	43	18	same	same	ADJ
iajs-1978	43	19	cluster	cluster	NOUN
iajs-1978	43	20	.	.	PUNCT
iajs-1978	44	1	their	their	PRON
iajs-1978	44	2	proposed	propose	VERB
iajs-1978	44	3	improved	improve	VERB
iajs-1978	44	4	the	the	DET
iajs-1978	44	5	clustering	clustering	ADJ
iajs-1978	44	6	accuracy	accuracy	NOUN
iajs-1978	44	7	and	and	CCONJ
iajs-1978	44	8	it	it	PRON
iajs-1978	44	9	was	be	AUX
iajs-1978	44	10	less	less	ADJ
iajs-1978	44	11	classification	classification	NOUN
iajs-1978	44	12	time	time	NOUN
iajs-1978	44	13	[	[	X
iajs-1978	44	14	6	6	NUM
iajs-1978	44	15	]	]	PUNCT
iajs-1978	44	16	.	.	PUNCT
iajs-1978	45	1	in	in	ADP
iajs-1978	45	2	2017	2017	NUM
iajs-1978	45	3	conneau	conneau	NOUN
iajs-1978	45	4	et	et	PROPN
iajs-1978	45	5	al	al	PROPN
iajs-1978	45	6	.	.	PUNCT
iajs-1978	45	7	build	build	VERB
iajs-1978	45	8	a	a	DET
iajs-1978	45	9	text	text	NOUN
iajs-1978	45	10	classification	classification	NOUN
iajs-1978	45	11	model	model	NOUN
iajs-1978	45	12	based	base	VERB
iajs-1978	45	13	on	on	ADP
iajs-1978	45	14	the	the	DET
iajs-1978	45	15	character	character	NOUN
iajs-1978	45	16	's	's	PART
iajs-1978	45	17	level	level	NOUN
iajs-1978	45	18	.	.	PUNCT
iajs-1978	46	1	the	the	DET
iajs-1978	46	2	model	model	NOUN
iajs-1978	46	3	called	call	VERB
iajs-1978	46	4	very	very	ADV
iajs-1978	46	5	deep	deep	ADJ
iajs-1978	46	6	convolutional	convolutional	ADJ
iajs-1978	46	7	neural	neural	ADJ
iajs-1978	46	8	networks	network	NOUN
iajs-1978	46	9	(	(	PUNCT
iajs-1978	46	10	vdcnn	vdcnn	PROPN
iajs-1978	46	11	)	)	PUNCT
iajs-1978	46	12	the	the	DET
iajs-1978	46	13	model	model	NOUN
iajs-1978	46	14	start	start	VERB
iajs-1978	46	15	with	with	ADP
iajs-1978	46	16	a	a	DET
iajs-1978	46	17	look	look	NOUN
iajs-1978	46	18	–	–	PUNCT
iajs-1978	46	19	up	up	ADP
iajs-1978	46	20	table	table	NOUN
iajs-1978	46	21	that	that	PRON
iajs-1978	46	22	creates	create	VERB
iajs-1978	46	23	a	a	DET
iajs-1978	46	24	2d	2d	NUM
iajs-1978	46	25	tensor	tensor	NOUN
iajs-1978	46	26	that	that	PRON
iajs-1978	46	27	contain	contain	VERB
iajs-1978	46	28	a	a	DET
iajs-1978	46	29	number	number	NOUN
iajs-1978	46	30	of	of	ADP
iajs-1978	46	31	the	the	DET
iajs-1978	46	32	embedding	embed	VERB
iajs-1978	46	33	character	character	NOUN
iajs-1978	46	34	.	.	PUNCT
iajs-1978	47	1	the	the	DET
iajs-1978	47	2	model	model	NOUN
iajs-1978	47	3	starts	start	VERB
iajs-1978	47	4	by	by	ADP
iajs-1978	47	5	applying	apply	VERB
iajs-1978	47	6	one	one	NUM
iajs-1978	47	7	layer	layer	NOUN
iajs-1978	47	8	of	of	ADP
iajs-1978	47	9	64	64	NUM
iajs-1978	47	10	convolutions	convolution	NOUN
iajs-1978	47	11	of	of	ADP
iajs-1978	47	12	size	size	NOUN
iajs-1978	47	13	3	3	NUM
iajs-1978	47	14	,	,	PUNCT
iajs-1978	47	15	followed	follow	VERB
iajs-1978	47	16	by	by	ADP
iajs-1978	47	17	a	a	DET
iajs-1978	47	18	stack	stack	NOUN
iajs-1978	47	19	of	of	ADP
iajs-1978	47	20	convolutional	convolutional	ADJ
iajs-1978	47	21	blocks	block	NOUN
iajs-1978	47	22	.	.	PUNCT
iajs-1978	48	1	each	each	DET
iajs-1978	48	2	layer	layer	NOUN
iajs-1978	48	3	has	have	VERB
iajs-1978	48	4	the	the	DET
iajs-1978	48	5	same	same	ADJ
iajs-1978	48	6	number	number	NOUN
iajs-1978	48	7	of	of	ADP
iajs-1978	48	8	feature	feature	NOUN
iajs-1978	48	9	map	map	NOUN
iajs-1978	48	10	,	,	PUNCT
iajs-1978	48	11	also	also	ADV
iajs-1978	48	12	the	the	DET
iajs-1978	48	13	model	model	NOUN
iajs-1978	48	14	contains	contain	VERB
iajs-1978	48	15	3	3	NUM
iajs-1978	48	16	pooling	pool	VERB
iajs-1978	48	17	operations	operation	NOUN
iajs-1978	48	18	to	to	PART
iajs-1978	48	19	reduce	reduce	VERB
iajs-1978	48	20	the	the	DET
iajs-1978	48	21	memory	memory	NOUN
iajs-1978	48	22	size	size	NOUN
iajs-1978	48	23	.	.	PUNCT
iajs-1978	49	1	the	the	DET
iajs-1978	49	2	model	model	NOUN
iajs-1978	49	3	proves	prove	VERB
iajs-1978	49	4	increasing	increase	VERB
iajs-1978	49	5	in	in	ADP
iajs-1978	49	6	the	the	DET
iajs-1978	49	7	performance	performance	NOUN
iajs-1978	49	8	when	when	SCONJ
iajs-1978	49	9	using	use	VERB
iajs-1978	49	10	up	up	ADP
iajs-1978	49	11	to	to	PART
iajs-1978	49	12	29	29	NUM
iajs-1978	49	13	convolutional	convolutional	ADJ
iajs-1978	49	14	layers	layer	NOUN
iajs-1978	49	15	[	[	X
iajs-1978	49	16	7	7	NUM
iajs-1978	49	17	]	]	PUNCT
iajs-1978	49	18	.	.	PUNCT
iajs-1978	50	1	in	in	ADP
iajs-1978	50	2	2018	2018	NUM
iajs-1978	50	3	tingyi	tingyi	NOUN
iajs-1978	50	4	zheng	zheng	PROPN
iajs-1978	50	5	et	et	PROPN
iajs-1978	50	6	al	al	PROPN
iajs-1978	50	7	.	.	PROPN
iajs-1978	50	8	proposed	propose	VERB
iajs-1978	50	9	a	a	DET
iajs-1978	50	10	model	model	NOUN
iajs-1978	50	11	that	that	PRON
iajs-1978	50	12	consists	consist	VERB
iajs-1978	50	13	of	of	ADP
iajs-1978	50	14	support	support	NOUN
iajs-1978	50	15	vector	vector	NOUN
iajs-1978	50	16	machine	machine	NOUN
iajs-1978	50	17	(	(	PUNCT
iajs-1978	50	18	svm	svm	PROPN
iajs-1978	50	19	)	)	PUNCT
iajs-1978	50	20	with	with	ADP
iajs-1978	50	21	active	active	ADJ
iajs-1978	50	22	self	self	NOUN
iajs-1978	50	23	-	-	PUNCT
iajs-1978	50	24	paced	pace	VERB
iajs-1978	50	25	learning	learning	NOUN
iajs-1978	50	26	(	(	PUNCT
iajs-1978	50	27	aspl	aspl	ADJ
iajs-1978	50	28	)	)	PUNCT
iajs-1978	50	29	.	.	PUNCT
iajs-1978	51	1	the	the	DET
iajs-1978	51	2	unlabeled	unlabeled	ADJ
iajs-1978	51	3	and	and	CCONJ
iajs-1978	51	4	very	very	ADV
iajs-1978	51	5	little	little	ADJ
iajs-1978	51	6	labeled	label	VERB
iajs-1978	51	7	texts	text	NOUN
iajs-1978	51	8	utilized	utilize	VERB
iajs-1978	51	9	to	to	PART
iajs-1978	51	10	learn	learn	VERB
iajs-1978	51	11	the	the	DET
iajs-1978	51	12	model	model	NOUN
iajs-1978	51	13	.	.	PUNCT
iajs-1978	52	1	the	the	DET
iajs-1978	52	2	model	model	NOUN
iajs-1978	52	3	starts	start	VERB
iajs-1978	52	4	by	by	ADP
iajs-1978	52	5	extracting	extract	VERB
iajs-1978	52	6	features	feature	NOUN
iajs-1978	52	7	using	use	VERB
iajs-1978	52	8	convolutional	convolutional	ADJ
iajs-1978	52	9	neural	neural	ADJ
iajs-1978	52	10	network	network	NOUN
iajs-1978	52	11	and	and	CCONJ
iajs-1978	52	12	classify	classify	VERB
iajs-1978	52	13	few	few	ADJ
iajs-1978	52	14	labeled	label	VERB
iajs-1978	52	15	texts	text	NOUN
iajs-1978	52	16	using	use	VERB
iajs-1978	52	17	the	the	DET
iajs-1978	52	18	svm	svm	NOUN
iajs-1978	52	19	,	,	PUNCT
iajs-1978	52	20	then	then	ADV
iajs-1978	52	21	the	the	DET
iajs-1978	52	22	unlabeled	unlabeled	ADJ
iajs-1978	52	23	text	text	NOUN
iajs-1978	52	24	will	will	AUX
iajs-1978	52	25	be	be	AUX
iajs-1978	52	26	ranked	rank	VERB
iajs-1978	52	27	based	base	VERB
iajs-1978	52	28	on	on	ADP
iajs-1978	52	29	their	their	PRON
iajs-1978	52	30	significance	significance	NOUN
iajs-1978	52	31	weight	weight	NOUN
iajs-1978	52	32	.	.	PUNCT
iajs-1978	53	1	the	the	DET
iajs-1978	53	2	top	top	ADJ
iajs-1978	53	3	ranked	rank	VERB
iajs-1978	53	4	text	text	NOUN
iajs-1978	53	5	would	would	AUX
iajs-1978	53	6	be	be	AUX
iajs-1978	53	7	selected	select	VERB
iajs-1978	53	8	and	and	CCONJ
iajs-1978	53	9	produced	produce	VERB
iajs-1978	53	10	to	to	ADP
iajs-1978	53	11	the	the	DET
iajs-1978	53	12	aspl	aspl	NOUN
iajs-1978	53	13	.	.	PUNCT
iajs-1978	54	1	the	the	DET
iajs-1978	54	2	process	process	NOUN
iajs-1978	54	3	will	will	AUX
iajs-1978	54	4	be	be	AUX
iajs-1978	54	5	repeated	repeat	VERB
iajs-1978	54	6	and	and	CCONJ
iajs-1978	54	7	select	select	VERB
iajs-1978	54	8	the	the	DET
iajs-1978	54	9	next	next	ADJ
iajs-1978	54	10	top	top	ADJ
iajs-1978	54	11	ranked	rank	VERB
iajs-1978	54	12	text	text	NOUN
iajs-1978	54	13	.	.	PUNCT
iajs-1978	55	1	the	the	DET
iajs-1978	55	2	model	model	NOUN
iajs-1978	55	3	shows	show	VERB
iajs-1978	55	4	the	the	DET
iajs-1978	55	5	tc	tc	NOUN
iajs-1978	55	6	accuracy	accuracy	NOUN
iajs-1978	55	7	can	can	AUX
iajs-1978	55	8	be	be	AUX
iajs-1978	55	9	enhanced	enhance	VERB
iajs-1978	55	10	by	by	ADP
iajs-1978	55	11	using	use	VERB
iajs-1978	55	12	few	few	ADJ
iajs-1978	55	13	labeled	label	VERB
iajs-1978	55	14	and	and	CCONJ
iajs-1978	55	15	unlabeled	unlabeled	ADJ
iajs-1978	55	16	text	text	NOUN
iajs-1978	56	1	[	[	X
iajs-1978	56	2	8	8	NUM
iajs-1978	56	3	]	]	PUNCT
iajs-1978	56	4	.	.	PUNCT
iajs-1978	57	1	3.problem	3.problem	NUM
iajs-1978	57	2	statement	statement	NOUN
iajs-1978	57	3	tc	tc	NOUN
iajs-1978	57	4	involves	involve	NOUN
iajs-1978	57	5	of	of	ADP
iajs-1978	57	6	two	two	NUM
iajs-1978	57	7	parts	part	NOUN
iajs-1978	57	8	:	:	PUNCT
iajs-1978	57	9	the	the	DET
iajs-1978	57	10	document	document	NOUN
iajs-1978	57	11	collection	collection	NOUN
iajs-1978	57	12	and	and	CCONJ
iajs-1978	57	13	the	the	DET
iajs-1978	57	14	number	number	NOUN
iajs-1978	57	15	of	of	ADP
iajs-1978	57	16	document	document	NOUN
iajs-1978	57	17	classes	class	NOUN
iajs-1978	57	18	.	.	PUNCT
iajs-1978	58	1	the	the	DET
iajs-1978	58	2	document	document	NOUN
iajs-1978	58	3	collection	collection	NOUN
iajs-1978	58	4	describes	describe	VERB
iajs-1978	58	5	the	the	DET
iajs-1978	58	6	scope	scope	NOUN
iajs-1978	58	7	of	of	ADP
iajs-1978	58	8	input	input	NOUN
iajs-1978	58	9	document	document	NOUN
iajs-1978	58	10	patterns	pattern	NOUN
iajs-1978	58	11	.	.	PUNCT
iajs-1978	59	1	the	the	DET
iajs-1978	59	2	training	training	NOUN
iajs-1978	59	3	patterns	pattern	NOUN
iajs-1978	59	4	and	and	CCONJ
iajs-1978	59	5	test	test	NOUN
iajs-1978	59	6	patterns	pattern	NOUN
iajs-1978	59	7	are	be	AUX
iajs-1978	59	8	selected	select	VERB
iajs-1978	59	9	from	from	ADP
iajs-1978	59	10	the	the	DET
iajs-1978	59	11	document	document	NOUN
iajs-1978	59	12	collection	collection	NOUN
iajs-1978	59	13	.	.	PUNCT
iajs-1978	60	1	the	the	DET
iajs-1978	60	2	set	set	NOUN
iajs-1978	60	3	of	of	ADP
iajs-1978	60	4	document	document	NOUN
iajs-1978	60	5	classes	class	NOUN
iajs-1978	60	6	describes	describe	VERB
iajs-1978	60	7	the	the	DET
iajs-1978	60	8	probable	probable	ADJ
iajs-1978	60	9	outputs	output	NOUN
iajs-1978	60	10	created	create	VERB
iajs-1978	60	11	by	by	ADP
iajs-1978	60	12	the	the	DET
iajs-1978	60	13	classifier	classifier	NOUN
iajs-1978	60	14	and	and	CCONJ
iajs-1978	60	15	is	be	AUX
iajs-1978	60	16	utilized	utilize	VERB
iajs-1978	60	17	to	to	PART
iajs-1978	60	18	label	label	VERB
iajs-1978	60	19	document	document	NOUN
iajs-1978	60	20	patterns	pattern	NOUN
iajs-1978	60	21	.	.	PUNCT
iajs-1978	61	1	assume	assume	VERB
iajs-1978	61	2	we	we	PRON
iajs-1978	61	3	have	have	VERB
iajs-1978	61	4	d={d1,d2,	d={d1,d2,	NOUN
iajs-1978	61	5	…	…	SYM
iajs-1978	61	6	,dn	,dn	PUNCT
iajs-1978	61	7	}	}	PUNCT
iajs-1978	61	8	is	be	AUX
iajs-1978	61	9	a	a	DET
iajs-1978	61	10	set	set	NOUN
iajs-1978	61	11	of	of	ADP
iajs-1978	61	12	documents	document	NOUN
iajs-1978	61	13	collection	collection	NOUN
iajs-1978	61	14	.	.	PUNCT
iajs-1978	62	1	c={c1,c2,	c={c1,c2,	PRON
iajs-1978	62	2	…	…	PUNCT
iajs-1978	62	3	.,cm}is	.,cm}is	PROPN
iajs-1978	62	4	a	a	DET
iajs-1978	62	5	set	set	NOUN
iajs-1978	62	6	of	of	ADP
iajs-1978	62	7	classes	class	NOUN
iajs-1978	62	8	for	for	ADP
iajs-1978	62	9	the	the	DET
iajs-1978	62	10	documents	document	NOUN
iajs-1978	62	11	collection	collection	NOUN
iajs-1978	62	12	(	(	PUNCT
iajs-1978	62	13	d	d	NOUN
iajs-1978	62	14	)	)	PUNCT
iajs-1978	62	15	.	.	PUNCT
iajs-1978	63	1	θk={dk,1,dk,2,	θk={dk,1,dk,2,	PROPN
iajs-1978	63	2	…	…	SYM
iajs-1978	63	3	dk	dk	PROPN
iajs-1978	63	4	,	,	PUNCT
iajs-1978	63	5	l}is	l}is	PROPN
iajs-1978	63	6	a	a	DET
iajs-1978	63	7	set	set	NOUN
iajs-1978	63	8	of	of	ADP
iajs-1978	63	9	documents	document	NOUN
iajs-1978	63	10	with	with	ADP
iajs-1978	63	11	the	the	DET
iajs-1978	63	12	same	same	ADJ
iajs-1978	63	13	class	class	NOUN
iajs-1978	63	14	.	.	PUNCT
iajs-1978	64	1	the	the	DET
iajs-1978	64	2	main	main	ADJ
iajs-1978	64	3	goal	goal	NOUN
iajs-1978	64	4	of	of	ADP
iajs-1978	64	5	tc	tc	NOUN
iajs-1978	64	6	is	be	AUX
iajs-1978	64	7	to	to	PART
iajs-1978	64	8	find	find	VERB
iajs-1978	64	9	θk	θk	NOUN
iajs-1978	64	10	that	that	PRON
iajs-1978	64	11	belong	belong	VERB
iajs-1978	64	12	to	to	ADP
iajs-1978	64	13	the	the	DET
iajs-1978	64	14	same	same	ADJ
iajs-1978	64	15	class	class	NOUN
iajs-1978	64	16	(	(	PUNCT
iajs-1978	64	17	ci	ci	NOUN
iajs-1978	64	18	)	)	PUNCT
iajs-1978	64	19	.	.	PUNCT
iajs-1978	65	1	199	199	NUM
iajs-1978	65	2	ibn	ibn	PROPN
iajs-1978	65	3	al	al	PROPN
iajs-1978	65	4	-	-	PUNCT
iajs-1978	65	5	haitham	haitham	PROPN
iajs-1978	65	6	jour	jour	X
iajs-1978	65	7	.	.	PROPN
iajs-1978	65	8	for	for	ADP
iajs-1978	65	9	pure	pure	ADJ
iajs-1978	65	10	&	&	CCONJ
iajs-1978	65	11	appl	appl	PROPN
iajs-1978	65	12	.	.	PUNCT
iajs-1978	66	1	sci	sci	PROPN
iajs-1978	66	2	.	.	PROPN
iajs-1978	66	3	ihjpas	ihjpa	VERB
iajs-1978	66	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	66	5	vol	vol	NOUN
iajs-1978	66	6	.	.	PUNCT
iajs-1978	67	1	32	32	NUM
iajs-1978	67	2	(	(	PUNCT
iajs-1978	67	3	1	1	NUM
iajs-1978	67	4	)	)	PUNCT
iajs-1978	67	5	2019	2019	NUM
iajs-1978	67	6	4.proposed	4.proposed	NUM
iajs-1978	67	7	method	method	NOUN
iajs-1978	67	8	tc	tc	NOUN
iajs-1978	67	9	consists	consist	VERB
iajs-1978	67	10	of	of	ADP
iajs-1978	67	11	many	many	ADJ
iajs-1978	67	12	phases	phase	NOUN
iajs-1978	67	13	.	.	PUNCT
iajs-1978	68	1	figure	figure	NOUN
iajs-1978	68	2	1	1	NUM
iajs-1978	68	3	.	.	PUNCT
iajs-1978	68	4	shows	show	VERB
iajs-1978	68	5	the	the	DET
iajs-1978	68	6	main	main	ADJ
iajs-1978	68	7	phases	phase	NOUN
iajs-1978	68	8	of	of	ADP
iajs-1978	68	9	the	the	DET
iajs-1978	68	10	proposed	propose	VERB
iajs-1978	68	11	method	method	NOUN
iajs-1978	68	12	.	.	PUNCT
iajs-1978	69	1	these	these	DET
iajs-1978	69	2	phases	phase	NOUN
iajs-1978	69	3	include	include	VERB
iajs-1978	69	4	:	:	PUNCT
iajs-1978	69	5	preprocessing	preprocessing	NOUN
iajs-1978	69	6	,	,	PUNCT
iajs-1978	69	7	feature	feature	NOUN
iajs-1978	69	8	extraction	extraction	NOUN
iajs-1978	69	9	,	,	PUNCT
iajs-1978	69	10	mlr	mlr	NOUN
iajs-1978	69	11	and	and	CCONJ
iajs-1978	69	12	elm	elm	PROPN
iajs-1978	69	13	.	.	PUNCT
iajs-1978	70	1	the	the	DET
iajs-1978	70	2	proposed	propose	VERB
iajs-1978	70	3	model	model	NOUN
iajs-1978	70	4	based	base	VERB
iajs-1978	70	5	on	on	ADP
iajs-1978	70	6	computing	computing	NOUN
iajs-1978	70	7	features	feature	VERB
iajs-1978	70	8	weight	weight	NOUN
iajs-1978	70	9	using	use	VERB
iajs-1978	70	10	mlr	mlr	NOUN
iajs-1978	70	11	.	.	PUNCT
iajs-1978	71	1	the	the	DET
iajs-1978	71	2	welm	welm	NOUN
iajs-1978	71	3	based	base	VERB
iajs-1978	71	4	on	on	ADP
iajs-1978	71	5	multiplying	multiply	VERB
iajs-1978	71	6	these	these	DET
iajs-1978	71	7	feature	feature	NOUN
iajs-1978	71	8	weights	weight	NOUN
iajs-1978	71	9	by	by	ADP
iajs-1978	71	10	the	the	DET
iajs-1978	71	11	feature	feature	NOUN
iajs-1978	71	12	before	before	ADP
iajs-1978	71	13	entering	enter	VERB
iajs-1978	71	14	to	to	ADP
iajs-1978	71	15	the	the	DET
iajs-1978	71	16	elm	elm	NOUN
iajs-1978	71	17	,	,	PUNCT
iajs-1978	71	18	that	that	PRON
iajs-1978	71	19	is	be	AUX
iajs-1978	71	20	made	make	VERB
iajs-1978	71	21	in	in	ADP
iajs-1978	71	22	turn	turn	NOUN
iajs-1978	71	23	to	to	PART
iajs-1978	71	24	increase	increase	VERB
iajs-1978	71	25	the	the	DET
iajs-1978	71	26	accuracy	accuracy	NOUN
iajs-1978	71	27	of	of	ADP
iajs-1978	71	28	the	the	DET
iajs-1978	71	29	welm	welm	NOUN
iajs-1978	71	30	in	in	ADP
iajs-1978	71	31	compared	compare	VERB
iajs-1978	71	32	with	with	ADP
iajs-1978	71	33	elm	elm	PROPN
iajs-1978	71	34	.	.	PUNCT
iajs-1978	72	1	figure	figure	NOUN
iajs-1978	72	2	1	1	NUM
iajs-1978	72	3	.	.	PUNCT
iajs-1978	72	4	block	block	NOUN
iajs-1978	72	5	diagram	diagram	NOUN
iajs-1978	72	6	of	of	ADP
iajs-1978	72	7	the	the	DET
iajs-1978	72	8	proposed	propose	VERB
iajs-1978	72	9	method	method	NOUN
iajs-1978	72	10	4.1	4.1	NUM
iajs-1978	72	11	.	.	PUNCT
iajs-1978	73	1	preprocessing	preprocesse	VERB
iajs-1978	73	2	tc	tc	NOUN
iajs-1978	73	3	issues	issue	NOUN
iajs-1978	73	4	are	be	AUX
iajs-1978	73	5	difficult	difficult	ADJ
iajs-1978	73	6	in	in	ADP
iajs-1978	73	7	nature	nature	NOUN
iajs-1978	73	8	and	and	CCONJ
iajs-1978	73	9	are	be	AUX
iajs-1978	73	10	permanently	permanently	ADV
iajs-1978	73	11	categorized	categorize	VERB
iajs-1978	73	12	via	via	ADP
iajs-1978	73	13	large	large	ADJ
iajs-1978	73	14	dimensionality	dimensionality	NOUN
iajs-1978	73	15	.	.	PUNCT
iajs-1978	74	1	to	to	PART
iajs-1978	74	2	decrease	decrease	VERB
iajs-1978	74	3	this	this	DET
iajs-1978	74	4	difficulty	difficulty	NOUN
iajs-1978	74	5	investigators	investigator	NOUN
iajs-1978	74	6	,	,	PUNCT
iajs-1978	74	7	start	start	VERB
iajs-1978	74	8	to	to	PART
iajs-1978	74	9	apply	apply	VERB
iajs-1978	74	10	preprocessing	preprocessing	NOUN
iajs-1978	74	11	procedures	procedure	NOUN
iajs-1978	74	12	to	to	ADP
iajs-1978	74	13	the	the	DET
iajs-1978	74	14	original	original	ADJ
iajs-1978	74	15	documents	document	NOUN
iajs-1978	74	16	in	in	ADP
iajs-1978	74	17	order	order	NOUN
iajs-1978	74	18	to	to	PART
iajs-1978	74	19	output	output	VERB
iajs-1978	74	20	a	a	DET
iajs-1978	74	21	more	more	ADV
iajs-1978	74	22	simplified	simplified	ADJ
iajs-1978	74	23	text	text	NOUN
iajs-1978	75	1	[	[	X
iajs-1978	75	2	9	9	NUM
iajs-1978	75	3	]	]	PUNCT
iajs-1978	75	4	.	.	PUNCT
iajs-1978	76	1	there	there	PRON
iajs-1978	76	2	are	be	VERB
iajs-1978	76	3	three	three	NUM
iajs-1978	76	4	steps	step	NOUN
iajs-1978	76	5	in	in	ADP
iajs-1978	76	6	this	this	DET
iajs-1978	76	7	stage	stage	NOUN
iajs-1978	76	8	.	.	PUNCT
iajs-1978	77	1	atokenization	atokenization	NOUN
iajs-1978	77	2	:	:	PUNCT
iajs-1978	77	3	the	the	DET
iajs-1978	77	4	main	main	ADJ
iajs-1978	77	5	goal	goal	NOUN
iajs-1978	77	6	of	of	ADP
iajs-1978	77	7	tokenization	tokenization	NOUN
iajs-1978	77	8	is	be	AUX
iajs-1978	77	9	separate	separate	ADJ
iajs-1978	77	10	sentences	sentence	NOUN
iajs-1978	77	11	into	into	ADP
iajs-1978	77	12	words	word	NOUN
iajs-1978	77	13	.	.	PUNCT
iajs-1978	78	1	bstop	bstop	ADJ
iajs-1978	78	2	words	word	NOUN
iajs-1978	78	3	removal	removal	NOUN
iajs-1978	78	4	:	:	PUNCT
iajs-1978	78	5	is	be	AUX
iajs-1978	78	6	the	the	DET
iajs-1978	78	7	manner	manner	NOUN
iajs-1978	78	8	of	of	ADP
iajs-1978	78	9	removing	remove	VERB
iajs-1978	78	10	words	word	NOUN
iajs-1978	78	11	that	that	PRON
iajs-1978	78	12	appear	appear	VERB
iajs-1978	78	13	many	many	ADJ
iajs-1978	78	14	times	time	NOUN
iajs-1978	78	15	in	in	ADP
iajs-1978	78	16	the	the	DET
iajs-1978	78	17	text	text	NOUN
iajs-1978	78	18	and	and	CCONJ
iajs-1978	78	19	do	do	AUX
iajs-1978	78	20	n't	not	PART
iajs-1978	78	21	offer	offer	VERB
iajs-1978	78	22	the	the	DET
iajs-1978	78	23	required	require	VERB
iajs-1978	78	24	information	information	NOUN
iajs-1978	78	25	for	for	ADP
iajs-1978	78	26	recognizing	recognize	VERB
iajs-1978	78	27	an	an	DET
iajs-1978	78	28	important	important	ADJ
iajs-1978	78	29	sense	sense	NOUN
iajs-1978	78	30	of	of	ADP
iajs-1978	78	31	the	the	DET
iajs-1978	78	32	document	document	NOUN
iajs-1978	78	33	.	.	PUNCT
iajs-1978	79	1	there	there	PRON
iajs-1978	79	2	are	be	VERB
iajs-1978	79	3	many	many	ADJ
iajs-1978	79	4	strategies	strategy	NOUN
iajs-1978	79	5	utilized	utilize	VERB
iajs-1978	79	6	for	for	ADP
iajs-1978	79	7	indicating	indicate	VERB
iajs-1978	79	8	such	such	ADJ
iajs-1978	79	9	stop	stop	NOUN
iajs-1978	79	10	words	word	NOUN
iajs-1978	79	11	list	list	NOUN
iajs-1978	79	12	.	.	PUNCT
iajs-1978	80	1	now	now	ADV
iajs-1978	80	2	,	,	PUNCT
iajs-1978	80	3	various	various	ADJ
iajs-1978	80	4	english	english	PROPN
iajs-1978	80	5	stop	stop	VERB
iajs-1978	80	6	word	word	NOUN
iajs-1978	80	7	list	list	NOUN
iajs-1978	80	8	is	be	AUX
iajs-1978	80	9	generally	generally	ADV
iajs-1978	80	10	utilized	utilize	VERB
iajs-1978	80	11	to	to	ADP
iajs-1978	80	12	the	the	DET
iajs-1978	80	13	tc	tc	NOUN
iajs-1978	80	14	procedure	procedure	NOUN
iajs-1978	80	15	.	.	PUNCT
iajs-1978	81	1	c	c	X
iajs-1978	81	2	-	-	PUNCT
iajs-1978	81	3	stemming	stemming	NOUN
iajs-1978	81	4	:	:	PUNCT
iajs-1978	81	5	is	be	AUX
iajs-1978	81	6	the	the	DET
iajs-1978	81	7	method	method	NOUN
iajs-1978	81	8	of	of	ADP
iajs-1978	81	9	generating	generating	ADJ
iajs-1978	81	10	origin	origin	NOUN
iajs-1978	81	11	of	of	ADP
iajs-1978	81	12	the	the	DET
iajs-1978	81	13	word	word	NOUN
iajs-1978	81	14	,	,	PUNCT
iajs-1978	81	15	in	in	ADP
iajs-1978	81	16	this	this	DET
iajs-1978	81	17	research	research	NOUN
iajs-1978	81	18	paper	paper	NOUN
iajs-1978	81	19	word	word	NOUN
iajs-1978	81	20	stemming	stem	VERB
iajs-1978	81	21	is	be	AUX
iajs-1978	81	22	done	do	VERB
iajs-1978	81	23	by	by	ADP
iajs-1978	81	24	using	use	VERB
iajs-1978	81	25	porter	porter	NOUN
iajs-1978	81	26	’s	’s	PART
iajs-1978	81	27	stemming	stem	VERB
iajs-1978	81	28	algorithm	algorithm	NOUN
iajs-1978	81	29	[	[	X
iajs-1978	81	30	10	10	NUM
iajs-1978	81	31	]	]	PUNCT
iajs-1978	81	32	.	.	PUNCT
iajs-1978	82	1	preprocessi	preprocessi	PROPN
iajs-1978	82	2	features	feature	NOUN
iajs-1978	82	3	learning	learn	VERB
iajs-1978	82	4	feature	feature	NOUN
iajs-1978	82	5	weights	weight	NOUN
iajs-1978	82	6	using	use	VERB
iajs-1978	82	7	training	training	NOUN
iajs-1978	82	8	document	document	NOUN
iajs-1978	82	9	machine	machine	NOUN
iajs-1978	82	10	learnin	learnin	NOUN
iajs-1978	82	11	g	g	PROPN
iajs-1978	82	12	lables	lable	VERB
iajs-1978	82	13	new	new	ADJ
iajs-1978	82	14	text	text	NOUN
iajs-1978	82	15	document	document	NOUN
iajs-1978	82	16	preprocessi	preprocessi	NOUN
iajs-1978	82	17	ng	ng	PROPN
iajs-1978	82	18	features	feature	VERB
iajs-1978	82	19	extractio	extractio	PROPN
iajs-1978	82	20	predictive	predictive	ADJ
iajs-1978	82	21	model	model	NOUN
iajs-1978	82	22	expected	expect	VERB
iajs-1978	82	23	label	label	NOUN
iajs-1978	82	24	200	200	NUM
iajs-1978	82	25	ibn	ibn	PROPN
iajs-1978	82	26	al	al	PROPN
iajs-1978	82	27	-	-	PUNCT
iajs-1978	82	28	haitham	haitham	PROPN
iajs-1978	82	29	jour	jour	X
iajs-1978	82	30	.	.	PROPN
iajs-1978	83	1	for	for	ADP
iajs-1978	83	2	pure	pure	ADJ
iajs-1978	83	3	&	&	CCONJ
iajs-1978	83	4	appl	appl	PROPN
iajs-1978	83	5	.	.	PUNCT
iajs-1978	84	1	sci	sci	PROPN
iajs-1978	84	2	.	.	PROPN
iajs-1978	84	3	ihjpas	ihjpa	VERB
iajs-1978	84	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	84	5	vol	vol	NOUN
iajs-1978	84	6	.	.	PUNCT
iajs-1978	85	1	32	32	NUM
iajs-1978	85	2	(	(	PUNCT
iajs-1978	85	3	1	1	NUM
iajs-1978	85	4	)	)	PUNCT
iajs-1978	85	5	2019	2019	NUM
iajs-1978	85	6	4.2	4.2	NUM
iajs-1978	85	7	.	.	PUNCT
iajs-1978	86	1	feature	feature	NOUN
iajs-1978	86	2	extraction	extraction	NOUN
iajs-1978	86	3	an	an	DET
iajs-1978	86	4	essential	essential	ADJ
iajs-1978	86	5	aspect	aspect	NOUN
iajs-1978	86	6	of	of	ADP
iajs-1978	86	7	tc	tc	NOUN
iajs-1978	86	8	is	be	AUX
iajs-1978	86	9	computing	compute	VERB
iajs-1978	86	10	features	feature	NOUN
iajs-1978	86	11	score	score	NOUN
iajs-1978	86	12	.	.	PUNCT
iajs-1978	87	1	the	the	DET
iajs-1978	87	2	features	feature	NOUN
iajs-1978	87	3	include	include	VERB
iajs-1978	87	4	:	:	PUNCT
iajs-1978	87	5	term	term	NOUN
iajs-1978	87	6	frequency	frequency	NOUN
iajs-1978	87	7	and	and	CCONJ
iajs-1978	87	8	inverse	inverse	NOUN
iajs-1978	87	9	document	document	NOUN
iajs-1978	87	10	frequency	frequency	NOUN
iajs-1978	87	11	(	(	PUNCT
iajs-1978	87	12	tf	tf	PROPN
iajs-1978	87	13	-	-	PUNCT
iajs-1978	87	14	idf	idf	NOUN
iajs-1978	87	15	)	)	PUNCT
iajs-1978	87	16	,	,	PUNCT
iajs-1978	87	17	term	term	NOUN
iajs-1978	87	18	frequency	frequency	NOUN
iajs-1978	87	19	and	and	CCONJ
iajs-1978	87	20	thematic	thematic	ADJ
iajs-1978	87	21	words	word	NOUN
iajs-1978	87	22	.	.	PUNCT
iajs-1978	88	1	1	1	NUM
iajs-1978	88	2	-	-	PUNCT
iajs-1978	88	3	tf	tf	NUM
iajs-1978	88	4	-	-	PUNCT
iajs-1978	88	5	idf	idf	PROPN
iajs-1978	88	6	:	:	PUNCT
iajs-1978	88	7	identifying	identify	VERB
iajs-1978	88	8	the	the	DET
iajs-1978	88	9	term	term	NOUN
iajs-1978	88	10	significance	significance	NOUN
iajs-1978	88	11	is	be	AUX
iajs-1978	88	12	very	very	ADV
iajs-1978	88	13	useful	useful	ADJ
iajs-1978	88	14	in	in	ADP
iajs-1978	88	15	tc	tc	NOUN
iajs-1978	88	16	system	system	NOUN
iajs-1978	88	17	,	,	PUNCT
iajs-1978	88	18	that	that	PRON
iajs-1978	88	19	can	can	AUX
iajs-1978	88	20	be	be	AUX
iajs-1978	88	21	done	do	VERB
iajs-1978	88	22	by	by	ADP
iajs-1978	88	23	weighting	weight	VERB
iajs-1978	88	24	term	term	NOUN
iajs-1978	88	25	which	which	PRON
iajs-1978	88	26	can	can	AUX
iajs-1978	88	27	be	be	AUX
iajs-1978	88	28	calculated	calculate	VERB
iajs-1978	88	29	by	by	ADP
iajs-1978	88	30	multiplying	multiply	VERB
iajs-1978	88	31	tf	tf	NUM
iajs-1978	88	32	by	by	ADP
iajs-1978	88	33	the	the	DET
iajs-1978	88	34	idf	idf	PROPN
iajs-1978	89	1	[	[	X
iajs-1978	89	2	2	2	NUM
iajs-1978	89	3	]	]	PUNCT
iajs-1978	89	4	which	which	PRON
iajs-1978	89	5	can	can	AUX
iajs-1978	89	6	be	be	AUX
iajs-1978	89	7	calculated	calculate	VERB
iajs-1978	89	8	as	as	ADP
iajs-1978	89	9	in	in	ADP
iajs-1978	89	10	equation	equation	NOUN
iajs-1978	89	11	(	(	PUNCT
iajs-1978	89	12	1	1	NUM
iajs-1978	89	13	)	)	PUNCT
iajs-1978	89	14	.	.	PUNCT
iajs-1978	89	15	              	              	SPACE
iajs-1978	90	1	1	1	NUM
iajs-1978	90	2	∗	∗	NOUN
iajs-1978	90	3	log	log	NOUN
iajs-1978	90	4	(	(	PUNCT
iajs-1978	90	5	1	1	NUM
iajs-1978	90	6	)	)	PUNCT
iajs-1978	90	7	where	where	SCONJ
iajs-1978	90	8	tf=	tf=	PROPN
iajs-1978	90	9	is	be	AUX
iajs-1978	90	10	the	the	DET
iajs-1978	90	11	term	term	NOUN
iajs-1978	90	12	frequency	frequency	NOUN
iajs-1978	90	13	n	n	CCONJ
iajs-1978	90	14	=	=	NOUN
iajs-1978	90	15	number	number	NOUN
iajs-1978	90	16	of	of	ADP
iajs-1978	90	17	documents	document	NOUN
iajs-1978	90	18	in	in	ADP
iajs-1978	90	19	the	the	DET
iajs-1978	90	20	document	document	NOUN
iajs-1978	90	21	collection	collection	NOUN
iajs-1978	90	22	.	.	PUNCT
iajs-1978	91	1	df=	df=	PROPN
iajs-1978	91	2	is	be	AUX
iajs-1978	91	3	the	the	DET
iajs-1978	91	4	number	number	NOUN
iajs-1978	91	5	of	of	ADP
iajs-1978	91	6	documents	document	NOUN
iajs-1978	91	7	in	in	ADP
iajs-1978	91	8	which	which	PRON
iajs-1978	91	9	the	the	DET
iajs-1978	91	10	term	term	NOUN
iajs-1978	91	11	appears	appear	VERB
iajs-1978	91	12	  	  	SPACE
iajs-1978	91	13	2term	2term	NUM
iajs-1978	91	14	frequency	frequency	NOUN
iajs-1978	91	15	(	(	PUNCT
iajs-1978	91	16	tf	tf	NOUN
iajs-1978	91	17	):	):	PUNCT
iajs-1978	91	18	which	which	PRON
iajs-1978	91	19	can	can	AUX
iajs-1978	91	20	be	be	AUX
iajs-1978	91	21	calculated	calculate	VERB
iajs-1978	91	22	using	use	VERB
iajs-1978	91	23	equation	equation	NOUN
iajs-1978	91	24	(	(	PUNCT
iajs-1978	91	25	2	2	NUM
iajs-1978	91	26	)	)	PUNCT
iajs-1978	91	27	.	.	PUNCT
iajs-1978	92	1	2	2	NUM
iajs-1978	92	2	_	_	PRON
iajs-1978	92	3	(	(	PUNCT
iajs-1978	92	4	2	2	NUM
iajs-1978	92	5	)	)	PUNCT
iajs-1978	92	6	where	where	SCONJ
iajs-1978	92	7	:	:	PUNCT
iajs-1978	92	8	freqterm=	freqterm=	NUM
iajs-1978	92	9	is	be	AUX
iajs-1978	92	10	the	the	DET
iajs-1978	92	11	number	number	NOUN
iajs-1978	92	12	of	of	ADP
iajs-1978	92	13	terms	term	NOUN
iajs-1978	92	14	repetitions	repetition	NOUN
iajs-1978	92	15	and	and	CCONJ
iajs-1978	92	16	max_freq=	max_freq=	X
iajs-1978	92	17	is	be	AUX
iajs-1978	92	18	the	the	DET
iajs-1978	92	19	maximum	maximum	ADJ
iajs-1978	92	20	term	term	NOUN
iajs-1978	92	21	frequency	frequency	NOUN
iajs-1978	92	22	.	.	PUNCT
iajs-1978	93	1	3thematic	3thematic	ADJ
iajs-1978	93	2	words	word	NOUN
iajs-1978	93	3	(	(	PUNCT
iajs-1978	93	4	tw	tw	NOUN
iajs-1978	93	5	):	):	PUNCT
iajs-1978	93	6	are	be	AUX
iajs-1978	93	7	the	the	DET
iajs-1978	93	8	most	most	ADV
iajs-1978	93	9	frequently	frequently	ADV
iajs-1978	93	10	used	use	VERB
iajs-1978	93	11	terms	term	NOUN
iajs-1978	93	12	that	that	PRON
iajs-1978	93	13	exist	exist	VERB
iajs-1978	93	14	in	in	ADP
iajs-1978	93	15	the	the	DET
iajs-1978	93	16	document	document	NOUN
iajs-1978	93	17	.	.	PUNCT
iajs-1978	94	1	the	the	DET
iajs-1978	94	2	calculation	calculation	NOUN
iajs-1978	94	3	of	of	ADP
iajs-1978	94	4	this	this	DET
iajs-1978	94	5	feature	feature	NOUN
iajs-1978	94	6	is	be	AUX
iajs-1978	94	7	done	do	VERB
iajs-1978	94	8	by	by	ADP
iajs-1978	94	9	computing	compute	VERB
iajs-1978	94	10	the	the	DET
iajs-1978	94	11	repetition	repetition	NOUN
iajs-1978	94	12	of	of	ADP
iajs-1978	94	13	all	all	DET
iajs-1978	94	14	terms	term	NOUN
iajs-1978	94	15	in	in	ADP
iajs-1978	94	16	the	the	DET
iajs-1978	94	17	document	document	NOUN
iajs-1978	94	18	,	,	PUNCT
iajs-1978	94	19	then	then	ADV
iajs-1978	94	20	only	only	ADV
iajs-1978	94	21	(	(	PUNCT
iajs-1978	94	22	k	k	X
iajs-1978	94	23	)	)	PUNCT
iajs-1978	94	24	terms	term	NOUN
iajs-1978	94	25	with	with	ADP
iajs-1978	94	26	the	the	DET
iajs-1978	94	27	maximum	maximum	ADJ
iajs-1978	94	28	repetition	repetition	NOUN
iajs-1978	94	29	is	be	AUX
iajs-1978	94	30	selected	select	VERB
iajs-1978	94	31	,	,	PUNCT
iajs-1978	94	32	in	in	ADP
iajs-1978	94	33	this	this	DET
iajs-1978	94	34	paper	paper	NOUN
iajs-1978	94	35	.	.	PUNCT
iajs-1978	95	1	this	this	DET
iajs-1978	95	2	feature	feature	NOUN
iajs-1978	95	3	is	be	AUX
iajs-1978	95	4	calculated	calculate	VERB
iajs-1978	95	5	by	by	ADP
iajs-1978	95	6	dividing	divide	VERB
iajs-1978	95	7	the	the	DET
iajs-1978	95	8	number	number	NOUN
iajs-1978	95	9	of	of	ADP
iajs-1978	95	10	thematic	thematic	ADJ
iajs-1978	95	11	words	word	NOUN
iajs-1978	95	12	by	by	ADP
iajs-1978	95	13	the	the	DET
iajs-1978	95	14	maximum	maximum	ADJ
iajs-1978	95	15	number	number	NOUN
iajs-1978	95	16	of	of	ADP
iajs-1978	95	17	thematic	thematic	ADJ
iajs-1978	95	18	words	word	NOUN
iajs-1978	95	19	in	in	ADP
iajs-1978	95	20	the	the	DET
iajs-1978	95	21	document	document	NOUN
iajs-1978	95	22	as	as	SCONJ
iajs-1978	95	23	expressed	express	VERB
iajs-1978	95	24	in	in	ADP
iajs-1978	95	25	eq	eq	ADP
iajs-1978	95	26	.	.	PUNCT
iajs-1978	96	1	(	(	PUNCT
iajs-1978	96	2	3	3	X
iajs-1978	96	3	)	)	PUNCT
iajs-1978	97	1	[	[	X
iajs-1978	97	2	11	11	NUM
iajs-1978	97	3	]	]	PUNCT
iajs-1978	97	4	.	.	PUNCT
iajs-1978	97	5	  	  	SPACE
iajs-1978	98	1	3	3	NUM
iajs-1978	98	2	_	_	PRON
iajs-1978	98	3	(	(	PUNCT
iajs-1978	98	4	3	3	X
iajs-1978	98	5	)	)	PUNCT
iajs-1978	98	6	where	where	SCONJ
iajs-1978	98	7	twi=	twi=	PROPN
iajs-1978	98	8	is	be	AUX
iajs-1978	98	9	the	the	DET
iajs-1978	98	10	number	number	NOUN
iajs-1978	98	11	of	of	ADP
iajs-1978	98	12	thematic	thematic	ADJ
iajs-1978	98	13	words(i	words(i	NOUN
iajs-1978	98	14	)	)	PUNCT
iajs-1978	98	15	tw_max=	tw_max=	VERB
iajs-1978	98	16	maximum	maximum	ADJ
iajs-1978	98	17	thematic	thematic	ADJ
iajs-1978	98	18	words	word	NOUN
iajs-1978	98	19	in	in	ADP
iajs-1978	98	20	the	the	DET
iajs-1978	98	21	document	document	NOUN
iajs-1978	98	22	.	.	PUNCT
iajs-1978	99	1	4.3.multiple	4.3.multiple	NUM
iajs-1978	99	2	linear	linear	ADJ
iajs-1978	99	3	regression	regression	NOUN
iajs-1978	99	4	(	(	PUNCT
iajs-1978	99	5	mlr	mlr	NOUN
iajs-1978	99	6	)	)	PUNCT
iajs-1978	99	7	mlr	mlr	NOUN
iajs-1978	99	8	is	be	AUX
iajs-1978	99	9	a	a	DET
iajs-1978	99	10	statistical	statistical	ADJ
iajs-1978	99	11	technique	technique	NOUN
iajs-1978	99	12	for	for	ADP
iajs-1978	99	13	formulating	formulate	VERB
iajs-1978	99	14	the	the	DET
iajs-1978	99	15	correlation	correlation	NOUN
iajs-1978	99	16	between	between	ADP
iajs-1978	99	17	the	the	DET
iajs-1978	99	18	independent	independent	ADJ
iajs-1978	99	19	variables	variable	NOUN
iajs-1978	99	20	and	and	CCONJ
iajs-1978	99	21	a	a	DET
iajs-1978	99	22	dependent	dependent	ADJ
iajs-1978	99	23	variable	variable	NOUN
iajs-1978	99	24	,	,	PUNCT
iajs-1978	99	25	where	where	SCONJ
iajs-1978	99	26	there	there	PRON
iajs-1978	99	27	are	be	VERB
iajs-1978	99	28	two	two	NUM
iajs-1978	99	29	or	or	CCONJ
iajs-1978	99	30	more	more	ADV
iajs-1978	99	31	independent	independent	ADJ
iajs-1978	99	32	variables	variable	NOUN
iajs-1978	99	33	,	,	PUNCT
iajs-1978	99	34	but	but	CCONJ
iajs-1978	99	35	only	only	ADV
iajs-1978	99	36	one	one	NUM
iajs-1978	99	37	dependent	dependent	ADJ
iajs-1978	99	38	variable	variable	NOUN
iajs-1978	100	1	[	[	X
iajs-1978	100	2	12	12	NUM
iajs-1978	100	3	]	]	PUNCT
iajs-1978	100	4	.	.	PUNCT
iajs-1978	101	1	mlr	mlr	NOUN
iajs-1978	101	2	can	can	AUX
iajs-1978	101	3	be	be	AUX
iajs-1978	101	4	formulated	formulate	VERB
iajs-1978	101	5	as	as	ADP
iajs-1978	101	6	in	in	ADP
iajs-1978	101	7	equation	equation	NOUN
iajs-1978	101	8	(	(	PUNCT
iajs-1978	101	9	4	4	NUM
iajs-1978	101	10	)	)	PUNCT
iajs-1978	101	11	y	y	NOUN
iajs-1978	102	1	=	=	NUM
iajs-1978	102	2	w0+w1x1+w2x2	w0+w1x1+w2x2	PROPN
iajs-1978	102	3	+	+	PROPN
iajs-1978	102	4	---+xm	---+xm	ADJ
iajs-1978	102	5	wm	wm	X
iajs-1978	102	6	(	(	PUNCT
iajs-1978	102	7	4	4	NUM
iajs-1978	102	8	)	)	PUNCT
iajs-1978	102	9	where	where	SCONJ
iajs-1978	102	10	[	[	X
iajs-1978	102	11	y	y	X
iajs-1978	102	12	]	]	X
iajs-1978	102	13	is	be	AUX
iajs-1978	102	14	the	the	DET
iajs-1978	102	15	output	output	NOUN
iajs-1978	102	16	vector	vector	NOUN
iajs-1978	102	17	(	(	PUNCT
iajs-1978	102	18	dependent	dependent	ADJ
iajs-1978	102	19	variable	variable	NOUN
iajs-1978	102	20	)	)	PUNCT
iajs-1978	102	21	.	.	PUNCT
iajs-1978	103	1	[	[	X
iajs-1978	103	2	w	w	X
iajs-1978	103	3	]	]	PUNCT
iajs-1978	103	4	feature	feature	NOUN
iajs-1978	103	5	weight	weight	NOUN
iajs-1978	103	6	vector	vector	NOUN
iajs-1978	103	7	.	.	PUNCT
iajs-1978	104	1	[	[	X
iajs-1978	104	2	x	x	X
iajs-1978	104	3	]	]	X
iajs-1978	104	4	the	the	DET
iajs-1978	104	5	extracted	extract	VERB
iajs-1978	104	6	features	feature	NOUN
iajs-1978	104	7	(	(	PUNCT
iajs-1978	104	8	independent	independent	ADJ
iajs-1978	104	9	variables	variable	NOUN
iajs-1978	104	10	)	)	PUNCT
iajs-1978	104	11	.	.	PUNCT
iajs-1978	105	1	we	we	PRON
iajs-1978	105	2	rewrite	rewrite	VERB
iajs-1978	105	3	equation	equation	NOUN
iajs-1978	105	4	(	(	PUNCT
iajs-1978	105	5	4	4	NUM
iajs-1978	105	6	)	)	PUNCT
iajs-1978	105	7	to	to	PART
iajs-1978	105	8	be	be	AUX
iajs-1978	105	9	in	in	ADP
iajs-1978	105	10	the	the	DET
iajs-1978	105	11	following	follow	VERB
iajs-1978	105	12	form	form	NOUN
iajs-1978	105	13	as	as	ADP
iajs-1978	105	14	in	in	ADP
iajs-1978	105	15	equation	equation	NOUN
iajs-1978	105	16	(	(	PUNCT
iajs-1978	105	17	5	5	NUM
iajs-1978	105	18	)	)	PUNCT
iajs-1978	105	19	.	.	PUNCT
iajs-1978	106	1	c	c	X
iajs-1978	106	2	=	=	PUNCT
iajs-1978	106	3	w0	w0	PROPN
iajs-1978	106	4	+	+	NOUN
iajs-1978	106	5	w1f1+w2f2+w3f3	w1f1+w2f2+w3f3	NOUN
iajs-1978	106	6	(	(	PUNCT
iajs-1978	106	7	5	5	NUM
iajs-1978	106	8	)	)	PUNCT
iajs-1978	106	9	where	where	SCONJ
iajs-1978	106	10	[	[	X
iajs-1978	106	11	c	c	X
iajs-1978	106	12	]	]	X
iajs-1978	106	13	is	be	AUX
iajs-1978	106	14	the	the	DET
iajs-1978	106	15	class	class	NOUN
iajs-1978	106	16	number	number	NOUN
iajs-1978	106	17	.	.	PUNCT
iajs-1978	107	1	[	[	X
iajs-1978	107	2	w	w	X
iajs-1978	107	3	]	]	PUNCT
iajs-1978	107	4	feature	feature	NOUN
iajs-1978	107	5	weight	weight	NOUN
iajs-1978	107	6	vector	vector	NOUN
iajs-1978	107	7	.	.	PUNCT
iajs-1978	108	1	[	[	X
iajs-1978	108	2	f	f	X
iajs-1978	108	3	]	]	X
iajs-1978	108	4	the	the	DET
iajs-1978	108	5	extracted	extract	VERB
iajs-1978	108	6	features	feature	NOUN
iajs-1978	108	7	as	as	SCONJ
iajs-1978	108	8	explained	explain	VERB
iajs-1978	108	9	in	in	ADP
iajs-1978	108	10	section	section	NOUN
iajs-1978	108	11	4.2	4.2	NUM
iajs-1978	108	12	the	the	DET
iajs-1978	108	13	regression	regression	NOUN
iajs-1978	108	14	model	model	NOUN
iajs-1978	108	15	can	can	AUX
iajs-1978	108	16	be	be	AUX
iajs-1978	108	17	represented	represent	VERB
iajs-1978	108	18	in	in	ADP
iajs-1978	108	19	a	a	DET
iajs-1978	108	20	matrix	matrix	NOUN
iajs-1978	108	21	form	form	NOUN
iajs-1978	108	22	as	as	SCONJ
iajs-1978	108	23	follows	follow	VERB
iajs-1978	108	24	.	.	PUNCT
iajs-1978	109	1	201	201	NUM
iajs-1978	109	2	ibn	ibn	PROPN
iajs-1978	109	3	al	al	PROPN
iajs-1978	109	4	-	-	PUNCT
iajs-1978	109	5	haitham	haitham	PROPN
iajs-1978	109	6	jour	jour	X
iajs-1978	109	7	.	.	PROPN
iajs-1978	109	8	for	for	ADP
iajs-1978	109	9	pure	pure	ADJ
iajs-1978	109	10	&	&	CCONJ
iajs-1978	109	11	appl	appl	PROPN
iajs-1978	109	12	.	.	PUNCT
iajs-1978	110	1	sci	sci	PROPN
iajs-1978	110	2	.	.	PROPN
iajs-1978	110	3	ihjpas	ihjpa	VERB
iajs-1978	110	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	110	5	vol	vol	NOUN
iajs-1978	110	6	.	.	PUNCT
iajs-1978	111	1	32	32	NUM
iajs-1978	111	2	(	(	PUNCT
iajs-1978	111	3	1	1	NUM
iajs-1978	111	4	)	)	PUNCT
iajs-1978	111	5	2019	2019	NUM
iajs-1978	111	6			NOUN
iajs-1978	111	7			PROPN
iajs-1978	112	1			PROPN
iajs-1978	112	2			PROPN
iajs-1978	112	3			X
iajs-1978	112	4			NOUN
iajs-1978	112	5			NOUN
iajs-1978	112	6			NOUN
iajs-1978	112	7			VERB
iajs-1978	112	8			NOUN
iajs-1978	112	9			NOUN
iajs-1978	112	10			PROPN
iajs-1978	112	11			PUNCT
iajs-1978	113	1			NOUN
iajs-1978	113	2			PROPN
iajs-1978	113	3			PROPN
iajs-1978	113	4			X
iajs-1978	113	5			NOUN
iajs-1978	113	6			NOUN
iajs-1978	113	7			NOUN
iajs-1978	113	8			NOUN
iajs-1978	113	9			NOUN
iajs-1978	113	10			NOUN
iajs-1978	113	11			PROPN
iajs-1978	114	1			ADJ
iajs-1978	114	2			PROPN
iajs-1978	114	3			PROPN
iajs-1978	115	1			PUNCT
iajs-1978	116	1			PUNCT
iajs-1978	117	1			NOUN
iajs-1978	117	2			PUNCT
iajs-1978	118	1			NOUN
iajs-1978	118	2			PROPN
iajs-1978	118	3			PROPN
iajs-1978	118	4			X
iajs-1978	118	5			NOUN
iajs-1978	118	6			NOUN
iajs-1978	118	7			NOUN
iajs-1978	118	8			NOUN
iajs-1978	118	9			NOUN
iajs-1978	118	10			NOUN
iajs-1978	118	11			NOUN
iajs-1978	118	12			NOUN
iajs-1978	118	13			NOUN
iajs-1978	118	14			PROPN
iajs-1978	118	15	3	3	NUM
iajs-1978	118	16	2	2	NUM
iajs-1978	118	17	1	1	NUM
iajs-1978	118	18	3,2,1	3,2,1	NUM
iajs-1978	118	19	,	,	PUNCT
iajs-1978	118	20	3,22,21,2	3,22,21,2	PROPN
iajs-1978	118	21	3,12,11,12	3,12,11,12	NUM
iajs-1978	118	22	1	1	NUM
iajs-1978	118	23	*	*	PUNCT
iajs-1978	118	24	..	..	PUNCT
iajs-1978	118	25	.	.	PUNCT
iajs-1978	119	1	w	w	PROPN
iajs-1978	119	2	w	w	PROPN
iajs-1978	119	3	w	w	PROPN
iajs-1978	119	4	fff	fff	PROPN
iajs-1978	119	5	fff	fff	PROPN
iajs-1978	119	6	fff	fff	PROPN
iajs-1978	119	7	cm	cm	PROPN
iajs-1978	119	8	ci	ci	PROPN
iajs-1978	120	1	c	c	PROPN
iajs-1978	120	2	c	c	NOUN
iajs-1978	120	3	ppp	ppp	NOUN
iajs-1978	120	4	where	where	SCONJ
iajs-1978	120	5	p	p	NOUN
iajs-1978	120	6	is	be	AUX
iajs-1978	120	7	the	the	DET
iajs-1978	120	8	number	number	NOUN
iajs-1978	120	9	of	of	ADP
iajs-1978	120	10	documents	document	NOUN
iajs-1978	120	11	from	from	ADP
iajs-1978	120	12	the	the	DET
iajs-1978	120	13	collected	collect	VERB
iajs-1978	120	14	document	document	NOUN
iajs-1978	120	15	data	datum	NOUN
iajs-1978	120	16	set	set	VERB
iajs-1978	120	17	.	.	PUNCT
iajs-1978	121	1	to	to	PART
iajs-1978	121	2	estimate	estimate	VERB
iajs-1978	121	3	the	the	DET
iajs-1978	121	4	weights	weight	NOUN
iajs-1978	121	5	for	for	ADP
iajs-1978	121	6	the	the	DET
iajs-1978	121	7	extracted	extract	VERB
iajs-1978	121	8	features	feature	NOUN
iajs-1978	121	9	we	we	PRON
iajs-1978	121	10	must	must	AUX
iajs-1978	121	11	train	train	VERB
iajs-1978	121	12	our	our	PRON
iajs-1978	121	13	model	model	NOUN
iajs-1978	121	14	.	.	PUNCT
iajs-1978	122	1	reuters	reuters	PROPN
iajs-1978	122	2	21578	21578	NUM
iajs-1978	122	3	dataset	dataset	NOUN
iajs-1978	122	4	set	set	NOUN
iajs-1978	122	5	used	use	VERB
iajs-1978	122	6	to	to	PART
iajs-1978	122	7	train	train	VERB
iajs-1978	122	8	our	our	PRON
iajs-1978	122	9	model	model	NOUN
iajs-1978	122	10	.	.	PUNCT
iajs-1978	123	1	a	a	DET
iajs-1978	123	2	subset	subset	NOUN
iajs-1978	123	3	of	of	ADP
iajs-1978	123	4	the	the	DET
iajs-1978	123	5	reuters	reuter	NOUN
iajs-1978	123	6	21578	21578	NUM
iajs-1978	123	7	used	use	VERB
iajs-1978	123	8	,	,	PUNCT
iajs-1978	123	9	where	where	SCONJ
iajs-1978	123	10	six	six	NUM
iajs-1978	123	11	topics	topic	NOUN
iajs-1978	123	12	only	only	ADV
iajs-1978	123	13	selected	select	VERB
iajs-1978	123	14	for	for	ADP
iajs-1978	123	15	the	the	DET
iajs-1978	123	16	proposed	propose	VERB
iajs-1978	123	17	model	model	NOUN
iajs-1978	123	18	.	.	PUNCT
iajs-1978	124	1	for	for	ADP
iajs-1978	124	2	each	each	DET
iajs-1978	124	3	topic	topic	NOUN
iajs-1978	124	4	,	,	PUNCT
iajs-1978	124	5	60	60	NUM
iajs-1978	124	6	files	file	NOUN
iajs-1978	124	7	were	be	AUX
iajs-1978	124	8	used	use	VERB
iajs-1978	124	9	for	for	ADP
iajs-1978	124	10	the	the	DET
iajs-1978	124	11	training	training	NOUN
iajs-1978	124	12	phase	phase	NOUN
iajs-1978	124	13	to	to	PART
iajs-1978	124	14	learn	learn	VERB
iajs-1978	124	15	the	the	DET
iajs-1978	124	16	feature	feature	NOUN
iajs-1978	124	17	weights	weight	NOUN
iajs-1978	124	18	that	that	PRON
iajs-1978	124	19	used	use	VERB
iajs-1978	124	20	later	later	ADV
iajs-1978	124	21	in	in	ADP
iajs-1978	124	22	the	the	DET
iajs-1978	124	23	classification	classification	NOUN
iajs-1978	124	24	phase	phase	NOUN
iajs-1978	124	25	of	of	ADP
iajs-1978	124	26	the	the	DET
iajs-1978	124	27	proposed	propose	VERB
iajs-1978	124	28	model	model	NOUN
iajs-1978	124	29	.	.	PUNCT
iajs-1978	125	1	the	the	DET
iajs-1978	125	2	three	three	NUM
iajs-1978	125	3	extracted	extract	VERB
iajs-1978	125	4	features	feature	NOUN
iajs-1978	125	5	(	(	PUNCT
iajs-1978	125	6	f1	f1	NOUN
iajs-1978	125	7	,	,	PUNCT
iajs-1978	125	8	f2	f2	PROPN
iajs-1978	125	9	,	,	PUNCT
iajs-1978	125	10	f3	f3	PROPN
iajs-1978	125	11	)	)	PUNCT
iajs-1978	125	12	that	that	PRON
iajs-1978	125	13	were	be	AUX
iajs-1978	125	14	described	describe	VERB
iajs-1978	125	15	in	in	ADP
iajs-1978	125	16	section	section	NOUN
iajs-1978	125	17	4.2	4.2	NUM
iajs-1978	125	18	used	use	VERB
iajs-1978	125	19	as	as	ADP
iajs-1978	125	20	input	input	NOUN
iajs-1978	125	21	to	to	ADP
iajs-1978	125	22	the	the	DET
iajs-1978	125	23	model	model	NOUN
iajs-1978	125	24	.	.	PUNCT
iajs-1978	126	1	the	the	DET
iajs-1978	126	2	desired	desire	VERB
iajs-1978	126	3	output	output	NOUN
iajs-1978	126	4	c	c	PROPN
iajs-1978	126	5	represents	represent	VERB
iajs-1978	126	6	the	the	DET
iajs-1978	126	7	class	class	NOUN
iajs-1978	126	8	number	number	NOUN
iajs-1978	126	9	for	for	ADP
iajs-1978	126	10	each	each	DET
iajs-1978	126	11	document	document	NOUN
iajs-1978	126	12	in	in	ADP
iajs-1978	126	13	the	the	DET
iajs-1978	126	14	document	document	NOUN
iajs-1978	126	15	set	set	NOUN
iajs-1978	126	16	(	(	PUNCT
iajs-1978	126	17	d	d	NOUN
iajs-1978	126	18	)	)	PUNCT
iajs-1978	126	19	.	.	PUNCT
iajs-1978	127	1	our	our	PRON
iajs-1978	127	2	goal	goal	NOUN
iajs-1978	127	3	is	be	AUX
iajs-1978	127	4	to	to	PART
iajs-1978	127	5	estimate	estimate	VERB
iajs-1978	127	6	the	the	DET
iajs-1978	127	7	values	value	NOUN
iajs-1978	127	8	of	of	ADP
iajs-1978	127	9	(	(	PUNCT
iajs-1978	127	10	w	w	NOUN
iajs-1978	127	11	)	)	PUNCT
iajs-1978	127	12	which	which	PRON
iajs-1978	127	13	represent	represent	VERB
iajs-1978	127	14	the	the	DET
iajs-1978	127	15	weights	weight	NOUN
iajs-1978	127	16	of	of	ADP
iajs-1978	127	17	the	the	DET
iajs-1978	127	18	selected	select	VERB
iajs-1978	127	19	features	feature	NOUN
iajs-1978	127	20	[	[	X
iajs-1978	127	21	13	13	NUM
iajs-1978	127	22	]	]	PUNCT
iajs-1978	127	23	.	.	PUNCT
iajs-1978	128	1	w	w	PROPN
iajs-1978	128	2	will	will	AUX
iajs-1978	128	3	be	be	AUX
iajs-1978	128	4	calculated	calculate	VERB
iajs-1978	128	5	using	use	VERB
iajs-1978	128	6	eq	eq	ADP
iajs-1978	128	7	.	.	PUNCT
iajs-1978	129	1	(	(	PUNCT
iajs-1978	129	2	6	6	NUM
iajs-1978	129	3	)	)	PUNCT
iajs-1978	129	4	.	.	PUNCT
iajs-1978	130	1	w=(f.ft)-1.ft	w=(f.ft)-1.ft	PROPN
iajs-1978	130	2	c	c	NOUN
iajs-1978	130	3	(	(	PUNCT
iajs-1978	130	4	6	6	NUM
iajs-1978	130	5	)	)	PUNCT
iajs-1978	130	6	algorithm	algorithm	NOUN
iajs-1978	130	7	1	1	NUM
iajs-1978	130	8	shows	show	VERB
iajs-1978	130	9	the	the	DET
iajs-1978	130	10	main	main	ADJ
iajs-1978	130	11	step	step	NOUN
iajs-1978	130	12	of	of	ADP
iajs-1978	130	13	mlr	mlr	PROPN
iajs-1978	130	14	.	.	PUNCT
iajs-1978	131	1	algorithm	algorithm	PROPN
iajs-1978	131	2	(	(	PUNCT
iajs-1978	131	3	1	1	NUM
iajs-1978	131	4	):	):	PUNCT
iajs-1978	131	5	mlr	mlr	NOUN
iajs-1978	131	6	input	input	NOUN
iajs-1978	131	7	:	:	PUNCT
iajs-1978	131	8	matrix	matrix	NOUN
iajs-1978	131	9	f	f	PROPN
iajs-1978	131	10	of	of	ADP
iajs-1978	131	11	size	size	NOUN
iajs-1978	131	12	p*3	p*3	ADJ
iajs-1978	131	13	documents	document	NOUN
iajs-1978	131	14	features	feature	VERB
iajs-1978	131	15	/*where	/*where	PUNCT
iajs-1978	131	16	p	p	NOUN
iajs-1978	131	17	number	number	NOUN
iajs-1978	131	18	of	of	ADP
iajs-1978	131	19	documents	document	NOUN
iajs-1978	131	20	,	,	PUNCT
iajs-1978	131	21	3	3	NUM
iajs-1978	131	22	numbers	number	NOUN
iajs-1978	131	23	of	of	ADP
iajs-1978	131	24	features*/	features*/	PROPN
iajs-1978	131	25	desired	desire	VERB
iajs-1978	131	26	output	output	NOUN
iajs-1978	131	27	c	c	PROPN
iajs-1978	131	28	of	of	ADP
iajs-1978	131	29	size	size	NOUN
iajs-1978	131	30	p*1	p*1	VERB
iajs-1978	131	31	output	output	NOUN
iajs-1978	131	32	:	:	PUNCT
iajs-1978	131	33	vector	vector	NOUN
iajs-1978	131	34	weight	weight	NOUN
iajs-1978	131	35	of	of	ADP
iajs-1978	131	36	size	size	NOUN
iajs-1978	131	37	(	(	PUNCT
iajs-1978	131	38	3	3	NUM
iajs-1978	131	39	)	)	PUNCT
iajs-1978	131	40	step1	step1	PROPN
iajs-1978	131	41	:	:	PUNCT
iajs-1978	131	42	initialize	initialize	VERB
iajs-1978	131	43	vector	vector	NOUN
iajs-1978	131	44	weight	weight	NOUN
iajs-1978	131	45	w	w	NOUN
iajs-1978	131	46	to	to	ADP
iajs-1978	131	47	zero	zero	NUM
iajs-1978	131	48	.	.	PUNCT
iajs-1978	132	1	step2	step2	PROPN
iajs-1978	132	2	:	:	PUNCT
iajs-1978	132	3	for	for	ADP
iajs-1978	132	4	each	each	DET
iajs-1978	132	5	document	document	NOUN
iajs-1978	132	6	in	in	ADP
iajs-1978	132	7	the	the	DET
iajs-1978	132	8	training	training	NOUN
iajs-1978	132	9	set	set	VERB
iajs-1978	132	10	step3	step3	PROPN
iajs-1978	132	11	:	:	PUNCT
iajs-1978	132	12	z	z	PROPN
iajs-1978	132	13	=	=	SYM
iajs-1978	132	14	f*ft	f*ft	PROPN
iajs-1978	132	15	step4	step4	PROPN
iajs-1978	132	16	:	:	PUNCT
iajs-1978	132	17	b=	b=	PROPN
iajs-1978	132	18	z-1	z-1	PROPN
iajs-1978	132	19	step5	step5	PROPN
iajs-1978	132	20	:	:	PUNCT
iajs-1978	132	21	a	a	DET
iajs-1978	132	22	=	=	NOUN
iajs-1978	132	23	ft*c	ft*c	NOUN
iajs-1978	132	24	step6	step6	NOUN
iajs-1978	132	25	:	:	PUNCT
iajs-1978	132	26	weight	weight	NOUN
iajs-1978	132	27	=	=	SYM
iajs-1978	132	28	b*a	b*a	PROPN
iajs-1978	132	29	step7	step7	ADJ
iajs-1978	132	30	:	:	PUNCT
iajs-1978	132	31	end	end	NOUN
iajs-1978	132	32	at	at	ADP
iajs-1978	132	33	the	the	DET
iajs-1978	132	34	end	end	NOUN
iajs-1978	132	35	of	of	ADP
iajs-1978	132	36	this	this	DET
iajs-1978	132	37	algorithm	algorithm	NOUN
iajs-1978	132	38	a	a	DET
iajs-1978	132	39	vector	vector	NOUN
iajs-1978	132	40	weight	weight	NOUN
iajs-1978	132	41	obtained	obtain	VERB
iajs-1978	132	42	which	which	PRON
iajs-1978	132	43	represent	represent	VERB
iajs-1978	132	44	the	the	DET
iajs-1978	132	45	weight	weight	NOUN
iajs-1978	132	46	for	for	ADP
iajs-1978	132	47	every	every	DET
iajs-1978	132	48	feature	feature	NOUN
iajs-1978	132	49	.	.	PUNCT
iajs-1978	133	1	4.4	4.4	NUM
iajs-1978	133	2	.	.	PUNCT
iajs-1978	134	1	extreme	extreme	ADJ
iajs-1978	134	2	learning	learning	NOUN
iajs-1978	134	3	machine	machine	NOUN
iajs-1978	134	4	(	(	PUNCT
iajs-1978	134	5	elm	elm	PROPN
iajs-1978	134	6	)	)	PUNCT
iajs-1978	134	7	elm	elm	NOUN
iajs-1978	134	8	is	be	AUX
iajs-1978	134	9	suggested	suggest	VERB
iajs-1978	134	10	by	by	ADP
iajs-1978	134	11	huang	huang	PROPN
iajs-1978	134	12	at	at	ADP
iajs-1978	134	13	(	(	PUNCT
iajs-1978	134	14	2004	2004	NUM
iajs-1978	134	15	)	)	PUNCT
iajs-1978	134	16	.	.	PUNCT
iajs-1978	135	1	the	the	DET
iajs-1978	135	2	goals	goal	NOUN
iajs-1978	135	3	of	of	ADP
iajs-1978	135	4	elm	elm	NOUN
iajs-1978	135	5	are	be	AUX
iajs-1978	135	6	to	to	PART
iajs-1978	135	7	avoid	avoid	VERB
iajs-1978	135	8	time	time	NOUN
iajs-1978	135	9	consuming	consume	VERB
iajs-1978	135	10	that	that	PRON
iajs-1978	135	11	occurred	occur	VERB
iajs-1978	135	12	in	in	ADP
iajs-1978	135	13	the	the	DET
iajs-1978	135	14	most	most	ADV
iajs-1978	135	15	iterative	iterative	ADJ
iajs-1978	135	16	training	training	NOUN
iajs-1978	135	17	algorithms	algorithm	NOUN
iajs-1978	135	18	and	and	CCONJ
iajs-1978	135	19	improving	improve	VERB
iajs-1978	135	20	the	the	DET
iajs-1978	135	21	generalization	generalization	NOUN
iajs-1978	135	22	performance	performance	NOUN
iajs-1978	135	23	.	.	PUNCT
iajs-1978	136	1	elm	elm	NOUN
iajs-1978	136	2	is	be	AUX
iajs-1978	136	3	a	a	DET
iajs-1978	136	4	feedforward	feedforward	ADJ
iajs-1978	136	5	neural	neural	ADJ
iajs-1978	136	6	network	network	NOUN
iajs-1978	136	7	that	that	PRON
iajs-1978	136	8	consists	consist	VERB
iajs-1978	136	9	of	of	ADP
iajs-1978	136	10	an	an	DET
iajs-1978	136	11	input	input	NOUN
iajs-1978	136	12	layer	layer	NOUN
iajs-1978	136	13	,	,	PUNCT
iajs-1978	136	14	hidden	hide	VERB
iajs-1978	136	15	layer	layer	NOUN
iajs-1978	136	16	and	and	CCONJ
iajs-1978	136	17	output	output	NOUN
iajs-1978	136	18	layer	layer	NOUN
iajs-1978	136	19	.	.	PUNCT
iajs-1978	137	1	the	the	DET
iajs-1978	137	2	hidden	hide	VERB
iajs-1978	137	3	layer	layer	NOUN
iajs-1978	137	4	may	may	AUX
iajs-1978	137	5	be	be	AUX
iajs-1978	137	6	a	a	DET
iajs-1978	137	7	single	single	ADJ
iajs-1978	137	8	layer	layer	NOUN
iajs-1978	137	9	or	or	CCONJ
iajs-1978	137	10	multi	multi	ADJ
iajs-1978	137	11	layers	layer	NOUN
iajs-1978	137	12	.	.	PUNCT
iajs-1978	138	1	elm	elm	NOUN
iajs-1978	138	2	is	be	AUX
iajs-1978	138	3	a	a	DET
iajs-1978	138	4	fully	fully	ADV
iajs-1978	138	5	connected	connected	ADJ
iajs-1978	138	6	neural	neural	ADJ
iajs-1978	138	7	network	network	NOUN
iajs-1978	138	8	,	,	PUNCT
iajs-1978	138	9	where	where	SCONJ
iajs-1978	138	10	the	the	DET
iajs-1978	138	11	node	node	NOUN
iajs-1978	138	12	in	in	ADP
iajs-1978	138	13	the	the	DET
iajs-1978	138	14	input	input	NOUN
iajs-1978	138	15	layer	layer	NOUN
iajs-1978	138	16	connected	connect	VERB
iajs-1978	138	17	to	to	ADP
iajs-1978	138	18	every	every	DET
iajs-1978	138	19	node	node	NOUN
iajs-1978	138	20	in	in	ADP
iajs-1978	138	21	the	the	DET
iajs-1978	138	22	202	202	NUM
iajs-1978	138	23	ibn	ibn	PROPN
iajs-1978	138	24	al	al	PROPN
iajs-1978	138	25	-	-	PUNCT
iajs-1978	138	26	haitham	haitham	PROPN
iajs-1978	138	27	jour	jour	X
iajs-1978	138	28	.	.	PROPN
iajs-1978	139	1	for	for	ADP
iajs-1978	139	2	pure	pure	ADJ
iajs-1978	139	3	&	&	CCONJ
iajs-1978	139	4	appl	appl	PROPN
iajs-1978	139	5	.	.	PUNCT
iajs-1978	140	1	sci	sci	PROPN
iajs-1978	140	2	.	.	PROPN
iajs-1978	140	3	ihjpas	ihjpa	VERB
iajs-1978	140	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	140	5	vol	vol	NOUN
iajs-1978	140	6	.	.	PUNCT
iajs-1978	141	1	32	32	NUM
iajs-1978	141	2	(	(	PUNCT
iajs-1978	141	3	1	1	NUM
iajs-1978	141	4	)	)	PUNCT
iajs-1978	141	5	2019	2019	NUM
iajs-1978	141	6	hidden	hide	VERB
iajs-1978	141	7	layer	layer	NOUN
iajs-1978	141	8	which	which	PRON
iajs-1978	141	9	in	in	ADP
iajs-1978	141	10	turn	turn	NOUN
iajs-1978	141	11	connected	connect	VERB
iajs-1978	141	12	to	to	ADP
iajs-1978	141	13	every	every	DET
iajs-1978	141	14	node	node	NOUN
iajs-1978	141	15	in	in	ADP
iajs-1978	141	16	the	the	DET
iajs-1978	141	17	output	output	NOUN
iajs-1978	141	18	layer	layer	NOUN
iajs-1978	141	19	.	.	PUNCT
iajs-1978	142	1	the	the	DET
iajs-1978	142	2	weights	weight	NOUN
iajs-1978	142	3	between	between	ADP
iajs-1978	142	4	the	the	DET
iajs-1978	142	5	layers	layer	NOUN
iajs-1978	142	6	are	be	AUX
iajs-1978	142	7	set	set	VERB
iajs-1978	142	8	initially	initially	ADV
iajs-1978	142	9	randomly	randomly	ADV
iajs-1978	142	10	,	,	PUNCT
iajs-1978	142	11	also	also	ADV
iajs-1978	142	12	the	the	DET
iajs-1978	142	13	bias	bias	NOUN
iajs-1978	142	14	of	of	ADP
iajs-1978	142	15	the	the	DET
iajs-1978	142	16	hidden	hide	VERB
iajs-1978	142	17	layer	layer	NOUN
iajs-1978	142	18	is	be	AUX
iajs-1978	142	19	generating	generate	VERB
iajs-1978	142	20	randomly	randomly	ADV
iajs-1978	142	21	.	.	PUNCT
iajs-1978	143	1	elm	elm	NOUN
iajs-1978	143	2	could	could	AUX
iajs-1978	143	3	avoid	avoid	VERB
iajs-1978	143	4	falling	fall	VERB
iajs-1978	143	5	into	into	ADP
iajs-1978	143	6	a	a	DET
iajs-1978	143	7	local	local	ADJ
iajs-1978	143	8	minimum	minimum	NOUN
iajs-1978	143	9	.	.	PUNCT
iajs-1978	144	1	there	there	PRON
iajs-1978	144	2	are	be	VERB
iajs-1978	144	3	two	two	NUM
iajs-1978	144	4	phases	phase	NOUN
iajs-1978	144	5	for	for	ADP
iajs-1978	144	6	the	the	DET
iajs-1978	144	7	elm	elm	NOUN
iajs-1978	144	8	:	:	PUNCT
iajs-1978	144	9	training	training	NOUN
iajs-1978	144	10	phase	phase	NOUN
iajs-1978	144	11	and	and	CCONJ
iajs-1978	144	12	testing	testing	NOUN
iajs-1978	144	13	phase	phase	NOUN
iajs-1978	144	14	.	.	PUNCT
iajs-1978	145	1	in	in	ADP
iajs-1978	145	2	the	the	DET
iajs-1978	145	3	training	training	NOUN
iajs-1978	145	4	phase	phase	NOUN
iajs-1978	145	5	a	a	DET
iajs-1978	145	6	set	set	NOUN
iajs-1978	145	7	of	of	ADP
iajs-1978	145	8	documents	document	NOUN
iajs-1978	145	9	was	be	AUX
iajs-1978	145	10	used	use	VERB
iajs-1978	145	11	as	as	ADP
iajs-1978	145	12	input	input	NOUN
iajs-1978	145	13	and	and	CCONJ
iajs-1978	145	14	the	the	DET
iajs-1978	145	15	desired	desire	VERB
iajs-1978	145	16	class	class	NOUN
iajs-1978	145	17	output	output	NOUN
iajs-1978	145	18	were	be	AUX
iajs-1978	145	19	set	set	VERB
iajs-1978	145	20	.	.	PUNCT
iajs-1978	146	1	at	at	ADP
iajs-1978	146	2	this	this	DET
iajs-1978	146	3	phase	phase	NOUN
iajs-1978	146	4	the	the	DET
iajs-1978	146	5	weights	weight	NOUN
iajs-1978	146	6	are	be	AUX
iajs-1978	146	7	adjusted	adjust	VERB
iajs-1978	146	8	to	to	PART
iajs-1978	146	9	make	make	VERB
iajs-1978	146	10	the	the	DET
iajs-1978	146	11	elm	elm	NOUN
iajs-1978	146	12	suitable	suitable	ADJ
iajs-1978	146	13	for	for	ADP
iajs-1978	146	14	the	the	DET
iajs-1978	146	15	classification	classification	NOUN
iajs-1978	146	16	purpose	purpose	NOUN
iajs-1978	147	1	[	[	X
iajs-1978	147	2	14	14	NUM
iajs-1978	147	3	]	]	PUNCT
iajs-1978	147	4	.	.	PUNCT
iajs-1978	148	1	algorithm	algorithm	PROPN
iajs-1978	148	2	2	2	NUM
iajs-1978	148	3	shows	show	VERB
iajs-1978	148	4	the	the	DET
iajs-1978	148	5	main	main	ADJ
iajs-1978	148	6	steps	step	NOUN
iajs-1978	148	7	of	of	ADP
iajs-1978	148	8	the	the	DET
iajs-1978	148	9	elm	elm	NOUN
iajs-1978	148	10	.	.	PROPN
iajs-1978	149	1	1	1	NUM
iajs-1978	149	2	.	.	X
iajs-1978	149	3	2	2	NUM
iajs-1978	149	4	.	.	X
iajs-1978	149	5	5.reuters	5.reuters	NUM
iajs-1978	149	6	21578	21578	NUM
iajs-1978	149	7	dataset	dataset	VERB
iajs-1978	149	8	reuters	reuter	NOUN
iajs-1978	149	9	21578	21578	NUM
iajs-1978	149	10	is	be	AUX
iajs-1978	149	11	a	a	DET
iajs-1978	149	12	benchmark	benchmark	NOUN
iajs-1978	149	13	dataset	dataset	NOUN
iajs-1978	149	14	for	for	ADP
iajs-1978	149	15	document	document	NOUN
iajs-1978	149	16	classification	classification	NOUN
iajs-1978	149	17	.	.	PUNCT
iajs-1978	150	1	there	there	PRON
iajs-1978	150	2	are	be	VERB
iajs-1978	150	3	90	90	NUM
iajs-1978	150	4	categories	category	NOUN
iajs-1978	150	5	in	in	ADP
iajs-1978	150	6	the	the	DET
iajs-1978	150	7	corpus	corpus	NOUN
iajs-1978	150	8	.	.	PUNCT
iajs-1978	151	1	the	the	DET
iajs-1978	151	2	archives	archive	NOUN
iajs-1978	151	3	in	in	ADP
iajs-1978	151	4	the	the	DET
iajs-1978	151	5	reuters-21578	reuters-21578	NOUN
iajs-1978	151	6	gathering	gathering	NOUN
iajs-1978	151	7	showed	show	VERB
iajs-1978	151	8	up	up	ADP
iajs-1978	151	9	on	on	ADP
iajs-1978	151	10	the	the	DET
iajs-1978	151	11	reuters	reuters	PROPN
iajs-1978	151	12	newswire	newswire	PROPN
iajs-1978	151	13	in	in	ADP
iajs-1978	151	14	1987	1987	NUM
iajs-1978	151	15	.	.	PUNCT
iajs-1978	152	1	the	the	DET
iajs-1978	152	2	collection	collection	NOUN
iajs-1978	152	3	is	be	AUX
iajs-1978	152	4	divided	divide	VERB
iajs-1978	152	5	into	into	ADP
iajs-1978	152	6	22	22	NUM
iajs-1978	152	7	files	file	NOUN
iajs-1978	152	8	.	.	PUNCT
iajs-1978	153	1	every	every	DET
iajs-1978	153	2	one	one	NUM
iajs-1978	153	3	of	of	ADP
iajs-1978	153	4	the	the	DET
iajs-1978	153	5	initial	initial	ADJ
iajs-1978	153	6	21	21	NUM
iajs-1978	153	7	files	file	NOUN
iajs-1978	153	8	contains	contain	VERB
iajs-1978	153	9	1000	1000	NUM
iajs-1978	153	10	documents	document	NOUN
iajs-1978	153	11	,	,	PUNCT
iajs-1978	153	12	while	while	SCONJ
iajs-1978	153	13	the	the	DET
iajs-1978	153	14	last	last	ADJ
iajs-1978	153	15	file	file	NOUN
iajs-1978	153	16	contains	contain	VERB
iajs-1978	153	17	578	578	NUM
iajs-1978	153	18	documents	document	NOUN
iajs-1978	153	19	.	.	PUNCT
iajs-1978	154	1	the	the	DET
iajs-1978	154	2	files	file	NOUN
iajs-1978	154	3	are	be	AUX
iajs-1978	154	4	in	in	ADP
iajs-1978	154	5	sgml	sgml	NOUN
iajs-1978	154	6	format	format	NOUN
iajs-1978	154	7	.	.	PUNCT
iajs-1978	155	1	each	each	PRON
iajs-1978	155	2	of	of	ADP
iajs-1978	155	3	the	the	DET
iajs-1978	155	4	22	22	NUM
iajs-1978	155	5	files	file	NOUN
iajs-1978	155	6	begins	begin	VERB
iajs-1978	155	7	with	with	ADP
iajs-1978	155	8	a	a	DET
iajs-1978	155	9	document	document	NOUN
iajs-1978	155	10	type	type	NOUN
iajs-1978	155	11	declaration	declaration	NOUN
iajs-1978	155	12	line	line	NOUN
iajs-1978	155	13	[	[	X
iajs-1978	155	14	15	15	NUM
iajs-1978	155	15	]	]	PUNCT
iajs-1978	155	16	.	.	PUNCT
iajs-1978	156	1	6.experimental	6.experimental	NUM
iajs-1978	156	2	results	result	NOUN
iajs-1978	156	3	there	there	PRON
iajs-1978	156	4	are	be	VERB
iajs-1978	156	5	two	two	NUM
iajs-1978	156	6	main	main	ADJ
iajs-1978	156	7	purposes	purpose	NOUN
iajs-1978	156	8	of	of	ADP
iajs-1978	156	9	the	the	DET
iajs-1978	156	10	proposed	propose	VERB
iajs-1978	156	11	tc	tc	NUM
iajs-1978	156	12	model	model	NOUN
iajs-1978	156	13	.	.	PUNCT
iajs-1978	157	1	the	the	DET
iajs-1978	157	2	first	first	ADJ
iajs-1978	157	3	purpose	purpose	NOUN
iajs-1978	157	4	is	be	AUX
iajs-1978	157	5	to	to	PART
iajs-1978	157	6	compute	compute	VERB
iajs-1978	157	7	the	the	DET
iajs-1978	157	8	weight	weight	NOUN
iajs-1978	157	9	of	of	ADP
iajs-1978	157	10	each	each	DET
iajs-1978	157	11	selected	select	VERB
iajs-1978	157	12	features	feature	NOUN
iajs-1978	157	13	which	which	PRON
iajs-1978	157	14	indicates	indicate	VERB
iajs-1978	157	15	the	the	DET
iajs-1978	157	16	importance	importance	NOUN
iajs-1978	157	17	of	of	ADP
iajs-1978	157	18	these	these	DET
iajs-1978	157	19	features	feature	NOUN
iajs-1978	157	20	.	.	PUNCT
iajs-1978	158	1	figure	figure	NOUN
iajs-1978	158	2	2	2	NUM
iajs-1978	158	3	.	.	PUNCT
iajs-1978	158	4	shows	show	VERB
iajs-1978	158	5	the	the	DET
iajs-1978	158	6	weights	weight	NOUN
iajs-1978	158	7	of	of	ADP
iajs-1978	158	8	each	each	DET
iajs-1978	158	9	feature	feature	NOUN
iajs-1978	158	10	in	in	ADP
iajs-1978	158	11	our	our	PRON
iajs-1978	158	12	proposed	propose	VERB
iajs-1978	158	13	method	method	NOUN
iajs-1978	158	14	.	.	PUNCT
iajs-1978	159	1	from	from	ADP
iajs-1978	159	2	the	the	DET
iajs-1978	159	3	results	result	NOUN
iajs-1978	159	4	we	we	PRON
iajs-1978	159	5	can	can	AUX
iajs-1978	159	6	see	see	VERB
iajs-1978	159	7	the	the	DET
iajs-1978	159	8	order	order	NOUN
iajs-1978	159	9	of	of	ADP
iajs-1978	159	10	effective	effective	ADJ
iajs-1978	159	11	features	feature	NOUN
iajs-1978	159	12	weights	weight	NOUN
iajs-1978	159	13	as	as	SCONJ
iajs-1978	159	14	follows	follow	VERB
iajs-1978	159	15	tf	tf	PROPN
iajs-1978	159	16	-	-	PUNCT
iajs-1978	159	17	idf	idf	PROPN
iajs-1978	159	18	,	,	PUNCT
iajs-1978	159	19	tw	tw	NOUN
iajs-1978	159	20	and	and	CCONJ
iajs-1978	159	21	tf	tf	INTJ
iajs-1978	159	22	.	.	PUNCT
iajs-1978	159	23	algorithm	algorithm	PROPN
iajs-1978	159	24	2	2	NUM
iajs-1978	159	25	:	:	PUNCT
iajs-1978	159	26	elm	elm	NOUN
iajs-1978	159	27	input	input	NOUN
iajs-1978	159	28	:	:	PUNCT
iajs-1978	159	29	feature	feature	VERB
iajs-1978	159	30	weight	weight	NOUN
iajs-1978	159	31	/	/	PUNCT
iajs-1978	160	1	*	*	PUNCT
iajs-1978	160	2	from	from	ADP
iajs-1978	160	3	algorithm	algorithm	PROPN
iajs-1978	161	1	1*/	1*/	NUM
iajs-1978	161	2	matrix	matrix	NOUN
iajs-1978	161	3	f	f	PROPN
iajs-1978	161	4	/	/	SYM
iajs-1978	161	5	*	*	PUNCT
iajs-1978	161	6	which	which	PRON
iajs-1978	161	7	represent	represent	VERB
iajs-1978	161	8	features	feature	NOUN
iajs-1978	161	9	that	that	PRON
iajs-1978	161	10	extracted	extract	VERB
iajs-1978	161	11	from	from	ADP
iajs-1978	161	12	a	a	DET
iajs-1978	161	13	set	set	NOUN
iajs-1978	161	14	of	of	ADP
iajs-1978	161	15	documents	document	NOUN
iajs-1978	161	16	that	that	PRON
iajs-1978	161	17	used	use	VERB
iajs-1978	161	18	for	for	ADP
iajs-1978	161	19	training*/	training*/	PROPN
iajs-1978	161	20	vector	vector	NOUN
iajs-1978	161	21	c	c	PROPN
iajs-1978	161	22	/	/	SYM
iajs-1978	161	23	*	*	PUNCT
iajs-1978	161	24	the	the	DET
iajs-1978	161	25	desired	desire	VERB
iajs-1978	161	26	output	output	NOUN
iajs-1978	161	27	for	for	ADP
iajs-1978	161	28	each	each	DET
iajs-1978	161	29	class*/	class*/	PROPN
iajs-1978	161	30	output	output	NOUN
iajs-1978	161	31	:	:	PUNCT
iajs-1978	161	32	vector	vector	NOUN
iajs-1978	161	33	w	w	PROPN
iajs-1978	161	34	/*that	/*that	PUNCT
iajs-1978	161	35	represent	represent	VERB
iajs-1978	161	36	weight	weight	NOUN
iajs-1978	161	37	elm*/	elm*/	X
iajs-1978	161	38	step1	step1	PROPN
iajs-1978	161	39	:	:	PUNCT
iajs-1978	161	40	randomly	randomly	ADV
iajs-1978	161	41	initialize	initialize	VERB
iajs-1978	161	42	w	w	PROPN
iajs-1978	161	43	,	,	PUNCT
iajs-1978	161	44	w1	w1	NOUN
iajs-1978	161	45	and	and	CCONJ
iajs-1978	161	46	bias	bias	PROPN
iajs-1978	161	47	b	b	PROPN
iajs-1978	161	48	step2	step2	PROPN
iajs-1978	161	49	:	:	PUNCT
iajs-1978	161	50	x	x	SYM
iajs-1978	161	51	=	=	NOUN
iajs-1978	161	52	weight*f	weight*f	PART
iajs-1978	161	53	repeat	repeat	NOUN
iajs-1978	161	54	step3	step3	PROPN
iajs-1978	161	55	:	:	PUNCT
iajs-1978	161	56	hidden_output=	hidden_output=	PROPN
iajs-1978	161	57	sigmoid	sigmoid	NOUN
iajs-1978	161	58	(	(	PUNCT
iajs-1978	161	59	b	b	X
iajs-1978	161	60	*	*	PUNCT
iajs-1978	161	61	(	(	PUNCT
iajs-1978	161	62	x*w	x*w	PROPN
iajs-1978	161	63	)	)	PUNCT
iajs-1978	161	64	)	)	PUNCT
iajs-1978	162	1	step3	step3	PROPN
iajs-1978	162	2	:	:	PUNCT
iajs-1978	162	3	out_layer	out_layer	NOUN
iajs-1978	162	4	=	=	SYM
iajs-1978	162	5	sigmoid	sigmoid	NOUN
iajs-1978	162	6	(	(	PUNCT
iajs-1978	162	7	hidden_layer*w1)/	hidden_layer*w1)/	NOUN
iajs-1978	162	8	*	*	PUNCT
iajs-1978	162	9	sigmoid	sigmoid	NOUN
iajs-1978	162	10	activation	activation	NOUN
iajs-1978	162	11	function	function	NOUN
iajs-1978	162	12	step4	step4	PROPN
iajs-1978	162	13	:	:	PUNCT
iajs-1978	162	14	w1=(w1*out_layer	w1=(w1*out_layer	PROPN
iajs-1978	162	15	)	)	PUNCT
iajs-1978	163	1	+	+	PUNCT
iajs-1978	163	2	c	c	NOUN
iajs-1978	163	3	/*where	/*where	PUNCT
iajs-1978	164	1	+	+	CCONJ
iajs-1978	164	2	is	be	AUX
iajs-1978	164	3	pseudoinverse	pseudoinverse	NOUN
iajs-1978	164	4	*	*	PUNCT
iajs-1978	164	5	/	/	SYM
iajs-1978	164	6	step5	step5	PROPN
iajs-1978	164	7	:	:	PUNCT
iajs-1978	164	8	w=	w=	X
iajs-1978	164	9	(	(	PUNCT
iajs-1978	164	10	w*hidden	w*hidden	VERB
iajs-1978	164	11	output	output	NOUN
iajs-1978	164	12	)	)	PUNCT
iajs-1978	164	13	+	+	CCONJ
iajs-1978	164	14	until	until	ADP
iajs-1978	164	15	(	(	PUNCT
iajs-1978	164	16	max_iteration	max_iteration	NOUN
iajs-1978	164	17	)	)	PUNCT
iajs-1978	164	18	203	203	NUM
iajs-1978	164	19	ibn	ibn	PROPN
iajs-1978	164	20	al	al	PROPN
iajs-1978	164	21	-	-	PUNCT
iajs-1978	164	22	haitham	haitham	PROPN
iajs-1978	164	23	jour	jour	X
iajs-1978	164	24	.	.	PROPN
iajs-1978	165	1	for	for	ADP
iajs-1978	165	2	pure	pure	ADJ
iajs-1978	165	3	&	&	CCONJ
iajs-1978	165	4	appl	appl	PROPN
iajs-1978	165	5	.	.	PUNCT
iajs-1978	166	1	sci	sci	PROPN
iajs-1978	166	2	.	.	PROPN
iajs-1978	166	3	ihjpas	ihjpa	VERB
iajs-1978	166	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	166	5	vol	vol	NOUN
iajs-1978	166	6	.	.	PUNCT
iajs-1978	167	1	32	32	NUM
iajs-1978	167	2	(	(	PUNCT
iajs-1978	167	3	1	1	NUM
iajs-1978	167	4	)	)	PUNCT
iajs-1978	167	5	2019	2019	NUM
iajs-1978	167	6	figure	figure	NOUN
iajs-1978	167	7	2	2	NUM
iajs-1978	167	8	.	.	PUNCT
iajs-1978	167	9	features	feature	VERB
iajs-1978	167	10	weights	weight	NOUN
iajs-1978	167	11	the	the	DET
iajs-1978	167	12	second	second	ADJ
iajs-1978	167	13	purpose	purpose	NOUN
iajs-1978	167	14	of	of	ADP
iajs-1978	167	15	the	the	DET
iajs-1978	167	16	our	our	PRON
iajs-1978	167	17	proposal	proposal	NOUN
iajs-1978	167	18	is	be	AUX
iajs-1978	167	19	to	to	PART
iajs-1978	167	20	evaluate	evaluate	VERB
iajs-1978	167	21	the	the	DET
iajs-1978	167	22	tc	tc	NUM
iajs-1978	167	23	model	model	NOUN
iajs-1978	167	24	.	.	PUNCT
iajs-1978	168	1	as	as	SCONJ
iajs-1978	168	2	described	describe	VERB
iajs-1978	168	3	in	in	ADP
iajs-1978	168	4	section	section	NOUN
iajs-1978	168	5	5	5	NUM
iajs-1978	168	6	reuters	reuter	NOUN
iajs-1978	168	7	21578	21578	NUM
iajs-1978	168	8	were	be	AUX
iajs-1978	168	9	used	use	VERB
iajs-1978	168	10	.	.	PUNCT
iajs-1978	169	1	only	only	ADV
iajs-1978	169	2	six	six	NUM
iajs-1978	169	3	topics	topic	NOUN
iajs-1978	169	4	were	be	AUX
iajs-1978	169	5	selected	select	VERB
iajs-1978	169	6	with150	with150	PROPN
iajs-1978	169	7	files	file	NOUN
iajs-1978	169	8	for	for	ADP
iajs-1978	169	9	each	each	DET
iajs-1978	169	10	topic	topic	NOUN
iajs-1978	169	11	so	so	SCONJ
iajs-1978	169	12	the	the	DET
iajs-1978	169	13	total	total	ADJ
iajs-1978	169	14	number	number	NOUN
iajs-1978	169	15	would	would	AUX
iajs-1978	169	16	be	be	AUX
iajs-1978	169	17	900	900	NUM
iajs-1978	169	18	files	file	NOUN
iajs-1978	169	19	,	,	PUNCT
iajs-1978	169	20	where	where	SCONJ
iajs-1978	169	21	90	90	NUM
iajs-1978	169	22	files	file	NOUN
iajs-1978	169	23	for	for	ADP
iajs-1978	169	24	each	each	DET
iajs-1978	169	25	topic	topic	NOUN
iajs-1978	169	26	used	use	VERB
iajs-1978	169	27	in	in	ADP
iajs-1978	169	28	the	the	DET
iajs-1978	169	29	training	training	NOUN
iajs-1978	169	30	phase	phase	NOUN
iajs-1978	169	31	and	and	CCONJ
iajs-1978	169	32	the	the	DET
iajs-1978	169	33	remaining	remain	VERB
iajs-1978	169	34	60	60	NUM
iajs-1978	169	35	files	file	NOUN
iajs-1978	169	36	used	use	VERB
iajs-1978	169	37	during	during	ADP
iajs-1978	169	38	the	the	DET
iajs-1978	169	39	testing	testing	NOUN
iajs-1978	169	40	phase	phase	NOUN
iajs-1978	169	41	.	.	PUNCT
iajs-1978	170	1	the	the	DET
iajs-1978	170	2	accuracy	accuracy	NOUN
iajs-1978	170	3	was	be	AUX
iajs-1978	170	4	used	use	VERB
iajs-1978	170	5	to	to	PART
iajs-1978	170	6	measure	measure	VERB
iajs-1978	170	7	the	the	DET
iajs-1978	170	8	performance	performance	NOUN
iajs-1978	170	9	of	of	ADP
iajs-1978	170	10	the	the	DET
iajs-1978	170	11	proposed	propose	VERB
iajs-1978	170	12	model	model	NOUN
iajs-1978	170	13	.	.	PUNCT
iajs-1978	171	1	(	(	PUNCT
iajs-1978	171	2	7	7	NUM
iajs-1978	171	3	)	)	PUNCT
iajs-1978	171	4	where	where	SCONJ
iajs-1978	171	5	ncorrect	ncorrect	ADJ
iajs-1978	171	6	is	be	AUX
iajs-1978	171	7	the	the	DET
iajs-1978	171	8	number	number	NOUN
iajs-1978	171	9	of	of	ADP
iajs-1978	171	10	correct	correct	ADJ
iajs-1978	171	11	classified	classified	ADJ
iajs-1978	171	12	documents	document	NOUN
iajs-1978	171	13	.	.	PUNCT
iajs-1978	172	1	n	n	PRON
iajs-1978	172	2	is	be	AUX
iajs-1978	172	3	the	the	DET
iajs-1978	172	4	total	total	ADJ
iajs-1978	172	5	number	number	NOUN
iajs-1978	172	6	of	of	ADP
iajs-1978	172	7	documents	document	NOUN
iajs-1978	172	8	.	.	PUNCT
iajs-1978	173	1	table	table	NOUN
iajs-1978	173	2	1	1	NUM
iajs-1978	173	3	.	.	PUNCT
iajs-1978	173	4	shows	show	VERB
iajs-1978	173	5	the	the	DET
iajs-1978	173	6	accuracy	accuracy	NOUN
iajs-1978	173	7	for	for	ADP
iajs-1978	173	8	welm	welm	NOUN
iajs-1978	173	9	and	and	CCONJ
iajs-1978	173	10	elm	elm	NOUN
iajs-1978	173	11	for	for	ADP
iajs-1978	173	12	the	the	DET
iajs-1978	173	13	six	six	NUM
iajs-1978	173	14	selected	select	VERB
iajs-1978	173	15	topics	topic	NOUN
iajs-1978	173	16	.	.	PUNCT
iajs-1978	174	1	table	table	NOUN
iajs-1978	174	2	1	1	NUM
iajs-1978	174	3	.	.	PUNCT
iajs-1978	175	1	classification	classification	NOUN
iajs-1978	175	2	accuracy	accuracy	NOUN
iajs-1978	175	3	using	use	VERB
iajs-1978	175	4	elm	elm	NOUN
iajs-1978	175	5	and	and	CCONJ
iajs-1978	175	6	welm	welm	ADJ
iajs-1978	175	7	.	.	PUNCT
iajs-1978	176	1	topic	topic	NOUN
iajs-1978	176	2	elm	elm	PROPN
iajs-1978	176	3	accuracy	accuracy	NOUN
iajs-1978	176	4	welm	welm	ADJ
iajs-1978	176	5	accuracy	accuracy	NOUN
iajs-1978	176	6	earn	earn	VERB
iajs-1978	176	7	0.76	0.76	NUM
iajs-1978	176	8	0.81	0.81	NUM
iajs-1978	176	9	money	money	NOUN
iajs-1978	176	10	-	-	PUNCT
iajs-1978	176	11	fx	fx	NOUN
iajs-1978	176	12	0.73	0.73	NUM
iajs-1978	176	13	0.78	0.78	NUM
iajs-1978	176	14	grain	grain	NOUN
iajs-1978	176	15	0.75	0.75	NUM
iajs-1978	176	16	0.83	0.83	NUM
iajs-1978	176	17	crude	crude	NOUN
iajs-1978	176	18	0.78	0.78	NUM
iajs-1978	176	19	0.85	0.85	NUM
iajs-1978	176	20	trade	trade	NOUN
iajs-1978	176	21	0.74	0.74	NUM
iajs-1978	176	22	0.79	0.79	NUM
iajs-1978	176	23	interest	interest	NOUN
iajs-1978	176	24	0.77	0.77	NUM
iajs-1978	176	25	0.83	0.83	NUM
iajs-1978	176	26	the	the	DET
iajs-1978	176	27	results	result	NOUN
iajs-1978	176	28	showed	show	VERB
iajs-1978	176	29	the	the	DET
iajs-1978	176	30	competence	competence	NOUN
iajs-1978	176	31	of	of	ADP
iajs-1978	176	32	the	the	DET
iajs-1978	176	33	welm	welm	NOUN
iajs-1978	176	34	compared	compare	VERB
iajs-1978	176	35	with	with	ADP
iajs-1978	176	36	elm	elm	PROPN
iajs-1978	176	37	.	.	PUNCT
iajs-1978	177	1	as	as	SCONJ
iajs-1978	177	2	known	know	VERB
iajs-1978	177	3	the	the	DET
iajs-1978	177	4	most	most	ADV
iajs-1978	177	5	important	important	ADJ
iajs-1978	177	6	problem	problem	NOUN
iajs-1978	177	7	of	of	ADP
iajs-1978	177	8	the	the	DET
iajs-1978	177	9	tc	tc	NOUN
iajs-1978	177	10	is	be	AUX
iajs-1978	177	11	the	the	DET
iajs-1978	177	12	misclassification	misclassification	NOUN
iajs-1978	177	13	between	between	ADP
iajs-1978	177	14	classes	class	NOUN
iajs-1978	177	15	.	.	PUNCT
iajs-1978	178	1	this	this	DET
iajs-1978	178	2	problem	problem	NOUN
iajs-1978	178	3	occurs	occur	VERB
iajs-1978	178	4	because	because	SCONJ
iajs-1978	178	5	the	the	DET
iajs-1978	178	6	overlap	overlap	NOUN
iajs-1978	178	7	of	of	ADP
iajs-1978	178	8	text	text	NOUN
iajs-1978	178	9	features	feature	NOUN
iajs-1978	178	10	for	for	ADP
iajs-1978	178	11	one	one	NUM
iajs-1978	178	12	class	class	NOUN
iajs-1978	178	13	with	with	ADP
iajs-1978	178	14	another	another	DET
iajs-1978	178	15	class	class	NOUN
iajs-1978	178	16	.	.	PUNCT
iajs-1978	179	1	the	the	DET
iajs-1978	179	2	proposed	propose	VERB
iajs-1978	179	3	model	model	NOUN
iajs-1978	179	4	introduced	introduce	VERB
iajs-1978	179	5	the	the	DET
iajs-1978	179	6	feature	feature	NOUN
iajs-1978	179	7	weights	weight	NOUN
iajs-1978	179	8	to	to	PART
iajs-1978	179	9	increase	increase	VERB
iajs-1978	179	10	the	the	DET
iajs-1978	179	11	separation	separation	NOUN
iajs-1978	179	12	between	between	ADP
iajs-1978	179	13	classes	class	NOUN
iajs-1978	179	14	to	to	PART
iajs-1978	179	15	overcome	overcome	VERB
iajs-1978	179	16	this	this	DET
iajs-1978	179	17	problem	problem	NOUN
iajs-1978	179	18	.	.	PUNCT
iajs-1978	180	1	6	6	X
iajs-1978	180	2	.	.	X
iajs-1978	180	3	conclusions	conclusion	NOUN
iajs-1978	180	4	in	in	ADP
iajs-1978	180	5	this	this	DET
iajs-1978	180	6	paper	paper	NOUN
iajs-1978	180	7	,	,	PUNCT
iajs-1978	180	8	tc	tc	PROPN
iajs-1978	180	9	is	be	AUX
iajs-1978	180	10	studied	study	VERB
iajs-1978	180	11	and	and	CCONJ
iajs-1978	180	12	empirically	empirically	ADV
iajs-1978	180	13	tested	test	VERB
iajs-1978	180	14	based	base	VERB
iajs-1978	180	15	on	on	ADP
iajs-1978	180	16	the	the	DET
iajs-1978	180	17	mlr	mlr	PROPN
iajs-1978	180	18	and	and	CCONJ
iajs-1978	180	19	eml	eml	PROPN
iajs-1978	180	20	.	.	PUNCT
iajs-1978	181	1	the	the	DET
iajs-1978	181	2	mlr	mlr	NOUN
iajs-1978	181	3	was	be	AUX
iajs-1978	181	4	applied	apply	VERB
iajs-1978	181	5	to	to	ADP
iajs-1978	181	6	the	the	DET
iajs-1978	181	7	three	three	NUM
iajs-1978	181	8	features	feature	NOUN
iajs-1978	181	9	extracted	extract	VERB
iajs-1978	181	10	from	from	ADP
iajs-1978	181	11	each	each	DET
iajs-1978	181	12	document	document	NOUN
iajs-1978	181	13	text	text	NOUN
iajs-1978	181	14	that	that	PRON
iajs-1978	181	15	produced	produce	VERB
iajs-1978	181	16	feature	feature	NOUN
iajs-1978	181	17	weights	weight	NOUN
iajs-1978	181	18	that	that	PRON
iajs-1978	181	19	was	be	AUX
iajs-1978	181	20	used	use	VERB
iajs-1978	181	21	in	in	ADP
iajs-1978	181	22	turn	turn	NOUN
iajs-1978	181	23	with	with	ADP
iajs-1978	181	24	the	the	DET
iajs-1978	181	25	features	feature	NOUN
iajs-1978	181	26	in	in	ADP
iajs-1978	181	27	the	the	DET
iajs-1978	181	28	elm	elm	NOUN
iajs-1978	181	29	to	to	PART
iajs-1978	181	30	produce	produce	VERB
iajs-1978	181	31	the	the	DET
iajs-1978	181	32	welm	welm	NOUN
iajs-1978	181	33	.	.	PUNCT
iajs-1978	182	1	the	the	DET
iajs-1978	182	2	introducing	introducing	NOUN
iajs-1978	182	3	of	of	ADP
iajs-1978	182	4	feature	feature	NOUN
iajs-1978	182	5	weights	weight	NOUN
iajs-1978	182	6	has	have	AUX
iajs-1978	182	7	improved	improve	VERB
iajs-1978	182	8	the	the	DET
iajs-1978	182	9	performance	performance	NOUN
iajs-1978	182	10	of	of	ADP
iajs-1978	182	11	the	the	DET
iajs-1978	182	12	tc	tc	NOUN
iajs-1978	182	13	.	.	NOUN
iajs-1978	182	14	0	0	NUM
iajs-1978	182	15	0.1	0.1	NUM
iajs-1978	182	16	0.2	0.2	NUM
iajs-1978	182	17	0.3	0.3	NUM
iajs-1978	182	18	0.4	0.4	NUM
iajs-1978	182	19	0.5	0.5	NUM
iajs-1978	182	20	tf‐idf	tf‐idf	NOUN
iajs-1978	182	21	tw	tw	NOUN
iajs-1978	182	22	tf	tf	NUM
iajs-1978	182	23	204	204	NUM
iajs-1978	182	24	ibn	ibn	PROPN
iajs-1978	182	25	al	al	PROPN
iajs-1978	182	26	-	-	PUNCT
iajs-1978	182	27	haitham	haitham	PROPN
iajs-1978	182	28	jour	jour	X
iajs-1978	182	29	.	.	PROPN
iajs-1978	182	30	for	for	ADP
iajs-1978	182	31	pure	pure	ADJ
iajs-1978	182	32	&	&	CCONJ
iajs-1978	182	33	appl	appl	PROPN
iajs-1978	182	34	.	.	PUNCT
iajs-1978	183	1	sci	sci	PROPN
iajs-1978	183	2	.	.	PROPN
iajs-1978	183	3	ihjpas	ihjpa	VERB
iajs-1978	183	4	https://doi.org/10.30526/32.1.1978	https://doi.org/10.30526/32.1.1978	ADP
iajs-1978	183	5	vol	vol	NOUN
iajs-1978	183	6	.	.	PUNCT
iajs-1978	184	1	32	32	NUM
iajs-1978	184	2	(	(	PUNCT
iajs-1978	184	3	1	1	NUM
iajs-1978	184	4	)	)	PUNCT
iajs-1978	184	5	2019	2019	NUM
iajs-1978	184	6	the	the	DET
iajs-1978	184	7	experiment	experiment	NOUN
iajs-1978	184	8	on	on	ADP
iajs-1978	184	9	the	the	DET
iajs-1978	184	10	reuter	reuter	PROPN
iajs-1978	184	11	21578	21578	NUM
iajs-1978	184	12	dataset	dataset	NOUN
iajs-1978	184	13	has	have	AUX
iajs-1978	184	14	showed	show	VERB
iajs-1978	184	15	that	that	SCONJ
iajs-1978	184	16	the	the	DET
iajs-1978	184	17	welm	welm	NOUN
iajs-1978	184	18	is	be	AUX
iajs-1978	184	19	effective	effective	ADJ
iajs-1978	184	20	in	in	ADP
iajs-1978	184	21	tc	tc	NOUN
iajs-1978	184	22	.	.	PUNCT
iajs-1978	185	1	the	the	DET
iajs-1978	185	2	results	result	NOUN
iajs-1978	185	3	of	of	ADP
iajs-1978	185	4	a	a	DET
iajs-1978	185	5	thorough	thorough	ADJ
iajs-1978	185	6	experimental	experimental	ADJ
iajs-1978	185	7	analysis	analysis	NOUN
iajs-1978	185	8	obviously	obviously	ADV
iajs-1978	185	9	indicate	indicate	VERB
iajs-1978	185	10	that	that	SCONJ
iajs-1978	185	11	weml	weml	NOUN
iajs-1978	185	12	offers	offer	VERB
iajs-1978	185	13	a	a	DET
iajs-1978	185	14	considerably	considerably	ADV
iajs-1978	185	15	successful	successful	ADJ
iajs-1978	185	16	performance	performance	NOUN
iajs-1978	185	17	in	in	ADP
iajs-1978	185	18	terms	term	NOUN
iajs-1978	185	19	of	of	ADP
iajs-1978	185	20	accuracy	accuracy	NOUN
iajs-1978	185	21	in	in	ADP
iajs-1978	185	22	compared	compare	VERB
iajs-1978	185	23	with	with	ADP
iajs-1978	185	24	elm	elm	PROPN
iajs-1978	185	25	.	.	PUNCT
iajs-1978	186	1	references	reference	NOUN
iajs-1978	186	2	1	1	NUM
iajs-1978	186	3	.	.	X
iajs-1978	187	1	zhang	zhang	PROPN
iajs-1978	187	2	,	,	PUNCT
iajs-1978	187	3	x.	x.	PROPN
iajs-1978	187	4	;	;	PUNCT
iajs-1978	187	5	wu	wu	PROPN
iajs-1978	187	6	,	,	PUNCT
iajs-1978	187	7	b.	b.	PROPN
iajs-1978	187	8	short	short	ADJ
iajs-1978	187	9	text	text	NOUN
iajs-1978	187	10	classification	classification	NOUN
iajs-1978	187	11	based	base	VERB
iajs-1978	187	12	on	on	ADP
iajs-1978	187	13	feature	feature	NOUN
iajs-1978	187	14	extension	extension	NOUN
iajs-1978	187	15	using	use	VERB
iajs-1978	187	16	the	the	DET
iajs-1978	187	17	ngram	ngram	PROPN
iajs-1978	187	18	model	model	NOUN
iajs-1978	187	19	international	international	PROPN
iajs-1978	187	20	conference	conference	NOUN
iajs-1978	187	21	on	on	ADP
iajs-1978	187	22	fuzzy	fuzzy	ADJ
iajs-1978	187	23	systems	system	NOUN
iajs-1978	187	24	and	and	CCONJ
iajs-1978	187	25	knowledge	knowledge	NOUN
iajs-1978	187	26	discovery	discovery	NOUN
iajs-1978	187	27	(	(	PUNCT
iajs-1978	187	28	fskd).2015	fskd).2015	PROPN
iajs-1978	187	29	.	.	PUNCT
iajs-1978	188	1	2	2	NUM
iajs-1978	188	2	.	.	X
iajs-1978	188	3	al	al	PROPN
iajs-1978	188	4	zaghoul	zaghoul	PROPN
iajs-1978	188	5	,	,	PUNCT
iajs-1978	188	6	f.	f.	PROPN
iajs-1978	188	7	;	;	PUNCT
iajs-1978	188	8	al	al	PROPN
iajs-1978	188	9	-	-	PUNCT
iajs-1978	188	10	dhaheri	dhaheri	PROPN
iajs-1978	188	11	,	,	PUNCT
iajs-1978	188	12	s.	s.	PROPN
iajs-1978	188	13	arabic	arabic	ADJ
iajs-1978	188	14	text	text	NOUN
iajs-1978	188	15	classification	classification	NOUN
iajs-1978	188	16	based	base	VERB
iajs-1978	188	17	on	on	ADP
iajs-1978	188	18	features	feature	NOUN
iajs-1978	188	19	reduction	reduction	NOUN
iajs-1978	188	20	using	use	VERB
iajs-1978	188	21	artificial	artificial	ADJ
iajs-1978	188	22	neural	neural	ADJ
iajs-1978	188	23	networks	network	NOUN
iajs-1978	188	24	.	.	PUNCT
iajs-1978	189	1	uksim	uksim	PROPN
iajs-1978	189	2	15th	15th	ADJ
iajs-1978	189	3	international	international	ADJ
iajs-1978	189	4	conference	conference	NOUN
iajs-1978	189	5	on	on	ADP
iajs-1978	189	6	computer	computer	NOUN
iajs-1978	189	7	modelling	modelling	NOUN
iajs-1978	189	8	and	and	CCONJ
iajs-1978	189	9	simulation	simulation	NOUN
iajs-1978	189	10	.2013	.2013	PROPN
iajs-1978	189	11	.	.	PROPN
iajs-1978	190	1	3	3	X
iajs-1978	190	2	.	.	X
iajs-1978	191	1	özgür	özgür	NOUN
iajs-1978	191	2	,	,	PUNCT
iajs-1978	191	3	l.	l.	PROPN
iajs-1978	191	4	;	;	PUNCT
iajs-1978	191	5	güngör	güngör	PROPN
iajs-1978	191	6	,	,	PUNCT
iajs-1978	191	7	t.	t.	PROPN
iajs-1978	191	8	two	two	NUM
iajs-1978	191	9	-	-	PUNCT
iajs-1978	191	10	stage	stage	NOUN
iajs-1978	191	11	feature	feature	NOUN
iajs-1978	191	12	selection	selection	NOUN
iajs-1978	191	13	for	for	ADP
iajs-1978	191	14	text	text	NOUN
iajs-1978	191	15	classification	classification	NOUN
iajs-1978	191	16	springer	springer	NOUN
iajs-1978	191	17	international	international	PROPN
iajs-1978	191	18	publishing	publishing	PROPN
iajs-1978	191	19	switzerland	switzerland	PROPN
iajs-1978	191	20	.	.	PROPN
iajs-1978	191	21	2016	2016	NUM
iajs-1978	191	22	.	.	PUNCT
iajs-1978	192	1	4	4	NUM
iajs-1978	192	2	.	.	X
iajs-1978	192	3	jodha	jodha	PROPN
iajs-1978	192	4	,	,	PUNCT
iajs-1978	192	5	r.	r.	PROPN
iajs-1978	192	6	;	;	PUNCT
iajs-1978	192	7	sanjay	sanjay	PROPN
iajs-1978	192	8	,	,	PUNCT
iajs-1978	192	9	g	g	NOUN
iajs-1978	192	10	;	;	PUNCT
iajs-1978	192	11	chowdhary	chowdhary	ADJ
iajs-1978	192	12	,	,	PUNCT
iajs-1978	192	13	k.	k.	PROPN
iajs-1978	192	14	;	;	PUNCT
iajs-1978	192	15	mishra	mishra	PROPN
iajs-1978	192	16	,	,	PUNCT
iajs-1978	192	17	a.	a.	NOUN
iajs-1978	192	18	text	text	NOUN
iajs-1978	192	19	classification	classification	NOUN
iajs-1978	192	20	using	use	VERB
iajs-1978	192	21	knn	knn	PROPN
iajs-1978	192	22	with	with	ADP
iajs-1978	192	23	different	different	ADJ
iajs-1978	192	24	features	feature	NOUN
iajs-1978	192	25	selection	selection	NOUN
iajs-1978	192	26	methods	method	NOUN
iajs-1978	192	27	.	.	PUNCT
iajs-1978	193	1	international	international	ADJ
iajs-1978	193	2	journal	journal	PROPN
iajs-1978	193	3	of	of	ADP
iajs-1978	193	4	research	research	PROPN
iajs-1978	193	5	publications(ijrp	publications(ijrp	PROPN
iajs-1978	193	6	)	)	PUNCT
iajs-1978	193	7	.	.	PUNCT
iajs-1978	194	1	2018	2018	NUM
iajs-1978	194	2	,	,	PUNCT
iajs-1978	194	3	8	8	NUM
iajs-1978	194	4	,	,	PUNCT
iajs-1978	194	5	1	1	NUM
iajs-1978	194	6	.	.	SYM
iajs-1978	194	7	5	5	NUM
iajs-1978	194	8	.	.	X
iajs-1978	194	9	mowafy	mowafy	NOUN
iajs-1978	194	10	,	,	PUNCT
iajs-1978	194	11	m.	m.	NOUN
iajs-1978	194	12	;	;	PUNCT
iajs-1978	194	13	rezk	rezk	PROPN
iajs-1978	194	14	,	,	PUNCT
iajs-1978	194	15	a.	a.	NOUN
iajs-1978	194	16	;	;	PUNCT
iajs-1978	194	17	el	el	PROPN
iajs-1978	194	18	-	-	NOUN
iajs-1978	194	19	bakry	bakry	PROPN
iajs-1978	194	20	,	,	PUNCT
iajs-1978	194	21	h.	h.	PROPN
iajs-1978	195	1	an	an	DET
iajs-1978	195	2	efficient	efficient	ADJ
iajs-1978	195	3	classification	classification	NOUN
iajs-1978	195	4	model	model	NOUN
iajs-1978	195	5	for	for	ADP
iajs-1978	195	6	unstructured	unstructured	ADJ
iajs-1978	195	7	text	text	NOUN
iajs-1978	195	8	document	document	NOUN
iajs-1978	195	9	american	american	PROPN
iajs-1978	195	10	journal	journal	PROPN
iajs-1978	195	11	of	of	ADP
iajs-1978	195	12	computer	computer	NOUN
iajs-1978	195	13	science	science	NOUN
iajs-1978	195	14	and	and	CCONJ
iajs-1978	195	15	information	information	NOUN
iajs-1978	195	16	technology	technology	NOUN
iajs-1978	195	17	.	.	PUNCT
iajs-1978	196	1	2018	2018	NUM
iajs-1978	196	2	,	,	PUNCT
iajs-1978	196	3	6,1	6,1	NUM
iajs-1978	196	4	.	.	NOUN
iajs-1978	196	5	6	6	NUM
iajs-1978	196	6	.	.	X
iajs-1978	196	7	renukadevi	renukadevi	PROPN
iajs-1978	196	8	,	,	PUNCT
iajs-1978	196	9	d.	d.	PROPN
iajs-1978	196	10	;	;	PUNCT
iajs-1978	196	11	sumathi	sumathi	PROPN
iajs-1978	196	12	,	,	PUNCT
iajs-1978	196	13	s.	s.	PROPN
iajs-1978	196	14	term	term	PROPN
iajs-1978	196	15	based	base	VERB
iajs-1978	196	16	similarity	similarity	NOUN
iajs-1978	196	17	measure	measure	NOUN
iajs-1978	196	18	for	for	ADP
iajs-1978	196	19	text	text	NOUN
iajs-1978	196	20	classification	classification	NOUN
iajs-1978	196	21	and	and	CCONJ
iajs-1978	196	22	clustering	clustering	NOUN
iajs-1978	196	23	using	use	VERB
iajs-1978	196	24	fuzzy	fuzzy	ADJ
iajs-1978	196	25	c	c	NOUN
iajs-1978	196	26	mean	mean	NOUN
iajs-1978	196	27	algorithm	algorithm	NOUN
iajs-1978	196	28	.	.	PUNCT
iajs-1978	197	1	international	international	ADJ
iajs-1978	197	2	journal	journal	PROPN
iajs-1978	197	3	of	of	ADP
iajs-1978	197	4	science	science	NOUN
iajs-1978	197	5	.	.	PUNCT
iajs-1978	198	1	engineering	engineering	NOUN
iajs-1978	198	2	and	and	CCONJ
iajs-1978	198	3	technology	technology	NOUN
iajs-1978	198	4	research(ijsetr	research(ijsetr	NOUN
iajs-1978	198	5	)	)	PUNCT
iajs-1978	198	6	.2014	.2014	PROPN
iajs-1978	198	7	,	,	PUNCT
iajs-1978	198	8	3	3	NUM
iajs-1978	198	9	,	,	PUNCT
iajs-1978	198	10	4	4	NUM
iajs-1978	198	11	.	.	NOUN
iajs-1978	198	12	7	7	NUM
iajs-1978	198	13	.	.	X
iajs-1978	198	14	conneau	conneau	NOUN
iajs-1978	198	15	,	,	PUNCT
iajs-1978	198	16	a.	a.	NOUN
iajs-1978	198	17	;	;	PUNCT
iajs-1978	198	18	holger	holger	NOUN
iajs-1978	198	19	,	,	PUNCT
iajs-1978	198	20	s.	s.	PROPN
iajs-1978	198	21	;	;	PUNCT
iajs-1978	198	22	loïc	loïc	PROPN
iajs-1978	198	23	,	,	PUNCT
iajs-1978	198	24	b	b	NOUN
iajs-1978	198	25	;	;	PUNCT
iajs-1978	198	26	yann	yann	PROPN
iajs-1978	198	27	lecun	lecun	PROPN
iajs-1978	198	28	very	very	ADV
iajs-1978	198	29	deep	deep	ADJ
iajs-1978	198	30	convolutional	convolutional	ADJ
iajs-1978	198	31	networks	network	NOUN
iajs-1978	198	32	for	for	ADP
iajs-1978	198	33	text	text	NOUN
iajs-1978	198	34	classification	classification	NOUN
iajs-1978	198	35	.	.	PUNCT
iajs-1978	199	1	in	in	ADP
iajs-1978	199	2	proceedings	proceeding	NOUN
iajs-1978	199	3	of	of	ADP
iajs-1978	199	4	the	the	DET
iajs-1978	199	5	15th	15th	ADJ
iajs-1978	199	6	conference	conference	NOUN
iajs-1978	199	7	of	of	ADP
iajs-1978	199	8	the	the	DET
iajs-1978	199	9	european	european	ADJ
iajs-1978	199	10	chapter	chapter	NOUN
iajs-1978	199	11	of	of	ADP
iajs-1978	199	12	the	the	DET
iajs-1978	199	13	association	association	NOUN
iajs-1978	199	14	for	for	ADP
iajs-1978	199	15	computational	computational	ADJ
iajs-1978	199	16	linguistics.2017	linguistics.2017	NOUN
iajs-1978	199	17	,	,	PUNCT
iajs-1978	199	18	1	1	NUM
iajs-1978	199	19	,	,	PUNCT
iajs-1978	199	20	107–1116	107–1116	NUM
iajs-1978	199	21	.	.	NOUN
iajs-1978	199	22	8	8	NUM
iajs-1978	199	23	.	.	X
iajs-1978	200	1	zheng	zheng	PROPN
iajs-1978	200	2	,	,	PUNCT
iajs-1978	200	3	t.	t.	PROPN
iajs-1978	200	4	;	;	PUNCT
iajs-1978	200	5	wang	wang	PROPN
iajs-1978	200	6	,	,	PUNCT
iajs-1978	200	7	l.	l.	PROPN
iajs-1978	200	8	unlabeled	unlabele	VERB
iajs-1978	200	9	text	text	NOUN
iajs-1978	200	10	classification	classification	NOUN
iajs-1978	200	11	optimization	optimization	NOUN
iajs-1978	200	12	algorithm	algorithm	NOUN
iajs-1978	200	13	based	base	VERB
iajs-1978	200	14	on	on	ADP
iajs-1978	200	15	active	active	ADJ
iajs-1978	200	16	self	self	NOUN
iajs-1978	200	17	-	-	PUNCT
iajs-1978	200	18	paced	pace	VERB
iajs-1978	200	19	learning	learning	NOUN
iajs-1978	200	20	.	.	PUNCT
iajs-1978	201	1	ieee	ieee	PROPN
iajs-1978	201	2	international	international	PROPN
iajs-1978	201	3	conference	conference	NOUN
iajs-1978	201	4	on	on	ADP
iajs-1978	201	5	big	big	ADJ
iajs-1978	201	6	data	datum	NOUN
iajs-1978	201	7	and	and	CCONJ
iajs-1978	201	8	smart	smart	ADJ
iajs-1978	201	9	computing	computing	NOUN
iajs-1978	201	10	.	.	PUNCT
iajs-1978	202	1	2018	2018	NUM
iajs-1978	202	2	.	.	PUNCT
iajs-1978	203	1	9	9	X
iajs-1978	203	2	.	.	X
iajs-1978	203	3	mikolov	mikolov	PROPN
iajs-1978	203	4	,	,	PUNCT
iajs-1978	203	5	t.	t.	PROPN
iajs-1978	203	6	;	;	PUNCT
iajs-1978	203	7	karafiat	karafiat	PROPN
iajs-1978	203	8	,	,	PUNCT
iajs-1978	203	9	m.	m.	NOUN
iajs-1978	203	10	;	;	PUNCT
iajs-1978	203	11	burget	burget	VERB
iajs-1978	203	12	,	,	PUNCT
iajs-1978	203	13	l.;cernocky	l.;cernocky	PROPN
iajs-1978	203	14	,	,	PUNCT
iajs-1978	203	15	j.	j.	PROPN
iajs-1978	203	16	;	;	PUNCT
iajs-1978	203	17	khudanpur	khudanpur	PROPN
iajs-1978	203	18	,	,	PUNCT
iajs-1978	203	19	s.recurrent	s.recurrent	ADJ
iajs-1978	203	20	neural	neural	ADJ
iajs-1978	203	21	network	network	NOUN
iajs-1978	203	22	based	base	VERB
iajs-1978	203	23	language	language	NOUN
iajs-1978	203	24	model	model	NOUN
iajs-1978	203	25	.	.	PUNCT
iajs-1978	204	1	in	in	ADP
iajs-1978	204	2	proceeding	proceeding	NOUN
iajs-1978	204	3	of	of	ADP
iajs-1978	204	4	the	the	DET
iajs-1978	204	5	annual	annual	ADJ
iajs-1978	204	6	conference	conference	NOUN
iajs-1978	204	7	of	of	ADP
iajs-1978	204	8	the	the	DET
iajs-1978	204	9	international	international	ADJ
iajs-1978	204	10	speech	speech	NOUN
iajs-1978	204	11	communication	communication	NOUN
iajs-1978	204	12	association	association	NOUN
iajs-1978	204	13	.	.	PUNCT
iajs-1978	205	1	2010,1045	2010,1045	NUM
iajs-1978	205	2	-	-	SYM
iajs-1978	205	3	1048	1048	NUM
iajs-1978	205	4	.	.	PUNCT
iajs-1978	206	1	10	10	NUM
iajs-1978	206	2	.	.	X
iajs-1978	207	1	porter	porter	NOUN
iajs-1978	207	2	stemming	stem	VERB
iajs-1978	207	3	algorithm	algorithm	NOUN
iajs-1978	207	4	:	:	PUNCT
iajs-1978	207	5	http://www.tartarus.org/martin/porterstemmer	http://www.tartarus.org/martin/porterstemmer	NUM
iajs-1978	207	6	.	.	NOUN
iajs-1978	207	7	11	11	NUM
iajs-1978	207	8	.	.	PUNCT
iajs-1978	208	1	john	john	PROPN
iajs-1978	208	2	,	,	PUNCT
iajs-1978	208	3	a.	a.	PROPN
iajs-1978	208	4	muti	muti	PROPN
iajs-1978	208	5	-	-	PUNCT
iajs-1978	208	6	document	document	NOUN
iajs-1978	208	7	summarization	summarization	NOUN
iajs-1978	208	8	system	system	NOUN
iajs-1978	208	9	:	:	PUNCT
iajs-1978	208	10	using	use	VERB
iajs-1978	208	11	fuzzy	fuzzy	ADJ
iajs-1978	208	12	logic	logic	NOUN
iajs-1978	208	13	and	and	CCONJ
iajs-1978	208	14	genetic	genetic	ADJ
iajs-1978	208	15	algotihm	algotihm	NOUN
iajs-1978	208	16	.	.	PUNCT
iajs-1978	209	1	international	international	ADJ
iajs-1978	209	2	journal	journal	PROPN
iajs-1978	209	3	of	of	ADP
iajs-1978	209	4	advanced	advanced	ADJ
iajs-1978	209	5	research	research	NOUN
iajs-1978	209	6	in	in	ADP
iajs-1978	209	7	engineering	engineering	NOUN
iajs-1978	209	8	and	and	CCONJ
iajs-1978	209	9	technology	technology	NOUN
iajs-1978	209	10	(	(	PUNCT
iajs-1978	209	11	ijaret	ijaret	NOUN
iajs-1978	209	12	)	)	PUNCT
iajs-1978	209	13	.	.	PUNCT
iajs-1978	210	1	2016	2016	NUM
iajs-1978	210	2	,	,	PUNCT
iajs-1978	210	3	7	7	NUM
iajs-1978	210	4	,	,	PUNCT
iajs-1978	210	5	1	1	NUM
iajs-1978	210	6	,	,	PUNCT
iajs-1978	210	7	30	30	NUM
iajs-1978	210	8	-	-	SYM
iajs-1978	210	9	40	40	NUM
iajs-1978	210	10	.	.	PUNCT
iajs-1978	211	1	12	12	NUM
iajs-1978	211	2	.	.	PUNCT
iajs-1978	212	1	chatterjee	chatterjee	PROPN
iajs-1978	212	2	,	,	PUNCT
iajs-1978	212	3	s.	s.	PROPN
iajs-1978	212	4	;	;	PUNCT
iajs-1978	212	5	hadi	hadi	PROPN
iajs-1978	212	6	,	,	PUNCT
iajs-1978	212	7	a.	a.	NOUN
iajs-1978	212	8	regression	regression	NOUN
iajs-1978	212	9	analysis	analysis	NOUN
iajs-1978	212	10	by	by	ADP
iajs-1978	212	11	example	example	NOUN
iajs-1978	212	12	.	.	PUNCT
iajs-1978	213	1	a	a	DET
iajs-1978	213	2	john	john	PROPN
iajs-1978	213	3	wiley	wiley	PROPN
iajs-1978	213	4	&	&	CCONJ
iajs-1978	213	5	sons	sons	PROPN
iajs-1978	213	6	,	,	PUNCT
iajs-1978	213	7	inc	inc	PROPN
iajs-1978	213	8	.	.	PROPN
iajs-1978	213	9	,	,	PUNCT
iajs-1978	213	10	publication	publication	PROPN
iajs-1978	213	11	fourth	fourth	PROPN
iajs-1978	213	12	edition	edition	NOUN
iajs-1978	213	13	.	.	PUNCT
iajs-1978	214	1	2006	2006	NUM
iajs-1978	214	2	.	.	PUNCT
iajs-1978	215	1	13	13	NUM
iajs-1978	215	2	.	.	PUNCT
iajs-1978	216	1	timothy	timothy	PROPN
iajs-1978	216	2	,	,	PUNCT
iajs-1978	216	3	z.	z.	PROPN
iajs-1978	216	4	multiple	multiple	ADJ
iajs-1978	216	5	regression	regression	NOUN
iajs-1978	216	6	and	and	CCONJ
iajs-1978	216	7	beyond	beyond	ADP
iajs-1978	216	8	:	:	PUNCT
iajs-1978	216	9	an	an	DET
iajs-1978	216	10	introduction	introduction	NOUN
iajs-1978	216	11	to	to	ADP
iajs-1978	216	12	multiple	multiple	ADJ
iajs-1978	216	13	regression	regression	NOUN
iajs-1978	216	14	and	and	CCONJ
iajs-1978	216	15	structural	structural	ADJ
iajs-1978	216	16	equation	equation	NOUN
iajs-1978	216	17	modeling	modeling	NOUN
iajs-1978	216	18	.	.	PUNCT
iajs-1978	217	1	by	by	ADP
iajs-1978	217	2	routledge	routledge	PROPN
iajs-1978	217	3	,	,	PUNCT
iajs-1978	217	4	second	second	ADJ
iajs-1978	217	5	edition	edition	NOUN
iajs-1978	217	6	.	.	PUNCT
iajs-1978	217	7	2015	2015	NUM
iajs-1978	217	8	.	.	PUNCT
iajs-1978	218	1	14	14	NUM
iajs-1978	218	2	.	.	X
iajs-1978	219	1	guang	guang	PROPN
iajs-1978	219	2	,	,	PUNCT
iajs-1978	219	3	b.	b.	PROPN
iajs-1978	219	4	;	;	PUNCT
iajs-1978	219	5	qin	qin	PROPN
iajs-1978	219	6	,	,	PUNCT
iajs-1978	219	7	z.	z.	PROPN
iajs-1978	219	8	;	;	PUNCT
iajs-1978	219	9	chee	chee	NOUN
iajs-1978	219	10	-	-	PUNCT
iajs-1978	219	11	kheong	kheong	PROPN
iajs-1978	219	12	,	,	PUNCT
iajs-1978	219	13	s.	s.	PROPN
iajs-1978	219	14	extreme	extreme	PROPN
iajs-1978	219	15	learning	learning	PROPN
iajs-1978	219	16	machine	machine	NOUN
iajs-1978	219	17	:	:	PUNCT
iajs-1978	219	18	theory	theory	NOUN
iajs-1978	219	19	and	and	CCONJ
iajs-1978	219	20	applications	application	NOUN
iajs-1978	219	21	.	.	PUNCT
iajs-1978	220	1	sciencedirect	sciencedirect	PROPN
iajs-1978	220	2	.	.	PUNCT
iajs-1978	221	1	2006.70	2006.70	NUM
iajs-1978	221	2	,	,	PUNCT
iajs-1978	221	3	489	489	NUM
iajs-1978	221	4	-	-	SYM
iajs-1978	221	5	501	501	NUM
iajs-1978	221	6	.	.	PUNCT
iajs-1978	221	7	15	15	NUM
iajs-1978	221	8	.	.	PUNCT
iajs-1978	222	1	david	david	PROPN
iajs-1978	222	2	d.	d.	PROPN
iajs-1978	222	3	available	available	ADJ
iajs-1978	222	4	at	at	ADP
iajs-1978	222	5	:	:	PUNCT
iajs-1978	222	6	http://www.daviddlewis.com/resources/testcollections/reuters21578	http://www.daviddlewis.com/resources/testcollections/reuters21578	PROPN
iajs-1978	222	7	.	.	PUNCT
