id	sid	tid	token	lemma	pos
ajis02-1180	1	1	paper	paper	NOUN
ajis02-1180	1	2	title	title	NOUN
ajis02-1180	1	3	(	(	PUNCT
ajis02-1180	1	4	paper	paper	NOUN
ajis02-1180	1	5	title	title	NOUN
ajis02-1180	1	6	style	style	NOUN
ajis02-1180	1	7	)	)	PUNCT
ajis02-1180	1	8	australasian	australasian	ADJ
ajis02-1180	1	9	journal	journal	NOUN
ajis02-1180	1	10	of	of	ADP
ajis02-1180	1	11	information	information	NOUN
ajis02-1180	1	12	systems	system	NOUN
ajis02-1180	1	13	nathawitharana	nathawitharana	PROPN
ajis02-1180	1	14	,	,	PUNCT
ajis02-1180	1	15	alahakoon	alahakoon	PROPN
ajis02-1180	1	16	&	&	CCONJ
ajis02-1180	1	17	matharage	matharage	NOUN
ajis02-1180	1	18	2015	2015	NUM
ajis02-1180	1	19	,	,	PUNCT
ajis02-1180	1	20	vol	vol	NOUN
ajis02-1180	1	21	.	.	PROPN
ajis02-1180	1	22	19	19	NUM
ajis02-1180	1	23	,	,	PUNCT
ajis02-1180	1	24	pp	pp	PROPN
ajis02-1180	1	25	.	.	PUNCT
ajis02-1180	2	1	s55	s55	PROPN
ajis02-1180	2	2	-	-	PUNCT
ajis02-1180	2	3	s75	s75	NOUN
ajis02-1180	2	4	improving	improve	VERB
ajis02-1180	2	5	decision	decision	NOUN
ajis02-1180	2	6	value	value	NOUN
ajis02-1180	2	7	of	of	ADP
ajis02-1180	2	8	hierarchical	hierarchical	ADJ
ajis02-1180	2	9	text	text	NOUN
ajis02-1180	2	10	improving	improve	VERB
ajis02-1180	2	11	the	the	DET
ajis02-1180	2	12	decision	decision	NOUN
ajis02-1180	2	13	value	value	NOUN
ajis02-1180	2	14	of	of	ADP
ajis02-1180	2	15	hierarchical	hierarchical	ADJ
ajis02-1180	2	16	text	text	NOUN
ajis02-1180	2	17	clustering	clustering	NOUN
ajis02-1180	2	18	using	use	VERB
ajis02-1180	2	19	term	term	NOUN
ajis02-1180	2	20	overlap	overlap	NOUN
ajis02-1180	2	21	detection	detection	NOUN
ajis02-1180	2	22	nilupulee	nilupulee	VERB
ajis02-1180	2	23	nathawitharana	nathawitharana	PROPN
ajis02-1180	2	24	la	la	PROPN
ajis02-1180	2	25	trobe	trobe	PROPN
ajis02-1180	2	26	university	university	PROPN
ajis02-1180	2	27	18585515@students.latrobe.edu.au	18585515@students.latrobe.edu.au	PROPN
ajis02-1180	2	28	damminda	damminda	PROPN
ajis02-1180	2	29	alahakoon	alahakoon	PROPN
ajis02-1180	2	30	la	la	PROPN
ajis02-1180	2	31	trobe	trobe	PROPN
ajis02-1180	2	32	university	university	PROPN
ajis02-1180	2	33	d.alahakoon@latrobe.edu.au	d.alahakoon@latrobe.edu.au	PROPN
ajis02-1180	2	34	sumith	sumith	VERB
ajis02-1180	2	35	matharage	matharage	NOUN
ajis02-1180	2	36	sumith.matharage@gmail.com	sumith.matharage@gmail.com	PROPN
ajis02-1180	2	37	abstract	abstract	ADJ
ajis02-1180	2	38	humans	human	NOUN
ajis02-1180	2	39	are	be	AUX
ajis02-1180	2	40	used	use	VERB
ajis02-1180	2	41	to	to	ADP
ajis02-1180	2	42	expressing	express	VERB
ajis02-1180	2	43	themselves	themselves	PRON
ajis02-1180	2	44	with	with	ADP
ajis02-1180	2	45	written	write	VERB
ajis02-1180	2	46	language	language	NOUN
ajis02-1180	2	47	and	and	CCONJ
ajis02-1180	2	48	language	language	NOUN
ajis02-1180	2	49	provides	provide	VERB
ajis02-1180	2	50	a	a	DET
ajis02-1180	2	51	medium	medium	NOUN
ajis02-1180	2	52	with	with	ADP
ajis02-1180	2	53	which	which	PRON
ajis02-1180	2	54	we	we	PRON
ajis02-1180	2	55	can	can	AUX
ajis02-1180	2	56	describe	describe	VERB
ajis02-1180	2	57	our	our	PRON
ajis02-1180	2	58	experiences	experience	NOUN
ajis02-1180	2	59	in	in	ADP
ajis02-1180	2	60	detail	detail	NOUN
ajis02-1180	2	61	incorporating	incorporate	VERB
ajis02-1180	2	62	individuality	individuality	NOUN
ajis02-1180	2	63	.	.	PUNCT
ajis02-1180	3	1	even	even	ADV
ajis02-1180	3	2	though	though	SCONJ
ajis02-1180	3	3	documents	document	NOUN
ajis02-1180	3	4	provide	provide	VERB
ajis02-1180	3	5	a	a	DET
ajis02-1180	3	6	rich	rich	ADJ
ajis02-1180	3	7	source	source	NOUN
ajis02-1180	3	8	of	of	ADP
ajis02-1180	3	9	information	information	NOUN
ajis02-1180	3	10	,	,	PUNCT
ajis02-1180	3	11	it	it	PRON
ajis02-1180	3	12	becomes	become	VERB
ajis02-1180	3	13	very	very	ADV
ajis02-1180	3	14	difficult	difficult	ADJ
ajis02-1180	3	15	to	to	PART
ajis02-1180	3	16	identify	identify	VERB
ajis02-1180	3	17	,	,	PUNCT
ajis02-1180	3	18	extract	extract	NOUN
ajis02-1180	3	19	,	,	PUNCT
ajis02-1180	3	20	summarize	summarize	VERB
ajis02-1180	3	21	and	and	CCONJ
ajis02-1180	3	22	search	search	NOUN
ajis02-1180	3	23	when	when	SCONJ
ajis02-1180	3	24	vast	vast	ADJ
ajis02-1180	3	25	amounts	amount	NOUN
ajis02-1180	3	26	of	of	ADP
ajis02-1180	3	27	documents	document	NOUN
ajis02-1180	3	28	are	be	AUX
ajis02-1180	3	29	collected	collect	VERB
ajis02-1180	3	30	especially	especially	ADV
ajis02-1180	3	31	over	over	ADP
ajis02-1180	3	32	time	time	NOUN
ajis02-1180	3	33	.	.	PUNCT
ajis02-1180	4	1	document	document	NOUN
ajis02-1180	4	2	clustering	clustering	NOUN
ajis02-1180	4	3	is	be	AUX
ajis02-1180	4	4	a	a	DET
ajis02-1180	4	5	technique	technique	NOUN
ajis02-1180	4	6	that	that	PRON
ajis02-1180	4	7	has	have	AUX
ajis02-1180	4	8	been	be	AUX
ajis02-1180	4	9	widely	widely	ADV
ajis02-1180	4	10	used	use	VERB
ajis02-1180	4	11	to	to	ADP
ajis02-1180	4	12	group	group	NOUN
ajis02-1180	4	13	documents	document	NOUN
ajis02-1180	4	14	based	base	VERB
ajis02-1180	4	15	on	on	ADP
ajis02-1180	4	16	similarity	similarity	NOUN
ajis02-1180	4	17	of	of	ADP
ajis02-1180	4	18	content	content	NOUN
ajis02-1180	4	19	represented	represent	VERB
ajis02-1180	4	20	by	by	ADP
ajis02-1180	4	21	the	the	DET
ajis02-1180	4	22	words	word	NOUN
ajis02-1180	4	23	used	use	VERB
ajis02-1180	4	24	.	.	PUNCT
ajis02-1180	5	1	once	once	ADV
ajis02-1180	5	2	key	key	ADJ
ajis02-1180	5	3	groups	group	NOUN
ajis02-1180	5	4	are	be	AUX
ajis02-1180	5	5	identified	identify	VERB
ajis02-1180	5	6	further	far	ADV
ajis02-1180	5	7	drill	drill	NOUN
ajis02-1180	5	8	down	down	ADP
ajis02-1180	5	9	into	into	ADP
ajis02-1180	5	10	sub	sub	NOUN
ajis02-1180	5	11	-	-	NOUN
ajis02-1180	5	12	groupings	grouping	NOUN
ajis02-1180	5	13	is	be	AUX
ajis02-1180	5	14	facilitated	facilitate	VERB
ajis02-1180	5	15	by	by	ADP
ajis02-1180	5	16	the	the	DET
ajis02-1180	5	17	use	use	NOUN
ajis02-1180	5	18	of	of	ADP
ajis02-1180	5	19	hierarchical	hierarchical	ADJ
ajis02-1180	5	20	clustering	clustering	NOUN
ajis02-1180	5	21	.	.	PUNCT
ajis02-1180	6	1	clustering	clustering	ADJ
ajis02-1180	6	2	and	and	CCONJ
ajis02-1180	6	3	hierarchical	hierarchical	ADJ
ajis02-1180	6	4	clustering	clustering	NOUN
ajis02-1180	6	5	are	be	AUX
ajis02-1180	6	6	very	very	ADV
ajis02-1180	6	7	useful	useful	ADJ
ajis02-1180	6	8	when	when	SCONJ
ajis02-1180	6	9	applied	apply	VERB
ajis02-1180	6	10	to	to	ADP
ajis02-1180	6	11	numerical	numerical	ADJ
ajis02-1180	6	12	and	and	CCONJ
ajis02-1180	6	13	categorical	categorical	ADJ
ajis02-1180	6	14	data	datum	NOUN
ajis02-1180	6	15	and	and	CCONJ
ajis02-1180	6	16	cluster	cluster	NOUN
ajis02-1180	6	17	accuracy	accuracy	NOUN
ajis02-1180	6	18	and	and	CCONJ
ajis02-1180	6	19	purity	purity	NOUN
ajis02-1180	6	20	measures	measure	NOUN
ajis02-1180	6	21	exist	exist	VERB
ajis02-1180	6	22	to	to	PART
ajis02-1180	6	23	evaluate	evaluate	VERB
ajis02-1180	6	24	the	the	DET
ajis02-1180	6	25	outcomes	outcome	NOUN
ajis02-1180	6	26	of	of	ADP
ajis02-1180	6	27	a	a	DET
ajis02-1180	6	28	clustering	clustering	ADJ
ajis02-1180	6	29	exercise	exercise	NOUN
ajis02-1180	6	30	.	.	PUNCT
ajis02-1180	7	1	although	although	SCONJ
ajis02-1180	7	2	the	the	DET
ajis02-1180	7	3	same	same	ADJ
ajis02-1180	7	4	measures	measure	NOUN
ajis02-1180	7	5	have	have	AUX
ajis02-1180	7	6	been	be	AUX
ajis02-1180	7	7	applied	apply	VERB
ajis02-1180	7	8	to	to	ADP
ajis02-1180	7	9	text	text	NOUN
ajis02-1180	7	10	clustering	clustering	NOUN
ajis02-1180	7	11	,	,	PUNCT
ajis02-1180	7	12	text	text	NOUN
ajis02-1180	7	13	clusters	cluster	NOUN
ajis02-1180	7	14	are	be	AUX
ajis02-1180	7	15	based	base	VERB
ajis02-1180	7	16	on	on	ADP
ajis02-1180	7	17	words	word	NOUN
ajis02-1180	7	18	or	or	CCONJ
ajis02-1180	7	19	terms	term	NOUN
ajis02-1180	7	20	which	which	PRON
ajis02-1180	7	21	can	can	AUX
ajis02-1180	7	22	be	be	AUX
ajis02-1180	7	23	repeated	repeat	VERB
ajis02-1180	7	24	across	across	ADP
ajis02-1180	7	25	documents	document	NOUN
ajis02-1180	7	26	associated	associate	VERB
ajis02-1180	7	27	with	with	ADP
ajis02-1180	7	28	different	different	ADJ
ajis02-1180	7	29	topics	topic	NOUN
ajis02-1180	7	30	.	.	PUNCT
ajis02-1180	8	1	therefore	therefore	ADV
ajis02-1180	8	2	text	text	NOUN
ajis02-1180	8	3	data	datum	NOUN
ajis02-1180	8	4	can	can	AUX
ajis02-1180	8	5	not	not	PART
ajis02-1180	8	6	be	be	AUX
ajis02-1180	8	7	considered	consider	VERB
ajis02-1180	8	8	as	as	ADP
ajis02-1180	8	9	a	a	DET
ajis02-1180	8	10	direct	direct	ADJ
ajis02-1180	8	11	‘	'	PUNCT
ajis02-1180	8	12	coding	coding	NOUN
ajis02-1180	8	13	’	'	PUNCT
ajis02-1180	8	14	of	of	ADP
ajis02-1180	8	15	a	a	DET
ajis02-1180	8	16	particular	particular	ADJ
ajis02-1180	8	17	experience	experience	NOUN
ajis02-1180	8	18	or	or	CCONJ
ajis02-1180	8	19	situation	situation	NOUN
ajis02-1180	8	20	in	in	ADP
ajis02-1180	8	21	contrast	contrast	NOUN
ajis02-1180	8	22	to	to	ADP
ajis02-1180	8	23	numerical	numerical	ADJ
ajis02-1180	8	24	and	and	CCONJ
ajis02-1180	8	25	categorical	categorical	ADJ
ajis02-1180	8	26	data	datum	NOUN
ajis02-1180	8	27	and	and	CCONJ
ajis02-1180	8	28	term	term	NOUN
ajis02-1180	8	29	overlap	overlap	NOUN
ajis02-1180	8	30	is	be	AUX
ajis02-1180	8	31	a	a	DET
ajis02-1180	8	32	very	very	ADV
ajis02-1180	8	33	common	common	ADJ
ajis02-1180	8	34	characteristic	characteristic	NOUN
ajis02-1180	8	35	in	in	ADP
ajis02-1180	8	36	text	text	NOUN
ajis02-1180	8	37	clustering	clustering	NOUN
ajis02-1180	8	38	.	.	PUNCT
ajis02-1180	9	1	in	in	ADP
ajis02-1180	9	2	this	this	DET
ajis02-1180	9	3	paper	paper	NOUN
ajis02-1180	9	4	we	we	PRON
ajis02-1180	9	5	propose	propose	VERB
ajis02-1180	9	6	a	a	DET
ajis02-1180	9	7	new	new	ADJ
ajis02-1180	9	8	technique	technique	NOUN
ajis02-1180	9	9	and	and	CCONJ
ajis02-1180	9	10	methodology	methodology	NOUN
ajis02-1180	9	11	for	for	ADP
ajis02-1180	9	12	term	term	NOUN
ajis02-1180	9	13	overlap	overlap	NOUN
ajis02-1180	9	14	capture	capture	NOUN
ajis02-1180	9	15	from	from	ADP
ajis02-1180	9	16	text	text	NOUN
ajis02-1180	9	17	documents	document	NOUN
ajis02-1180	9	18	,	,	PUNCT
ajis02-1180	9	19	highlighting	highlight	VERB
ajis02-1180	9	20	the	the	DET
ajis02-1180	9	21	different	different	ADJ
ajis02-1180	9	22	situations	situation	NOUN
ajis02-1180	9	23	such	such	ADJ
ajis02-1180	9	24	overlap	overlap	NOUN
ajis02-1180	9	25	could	could	AUX
ajis02-1180	9	26	signify	signify	VERB
ajis02-1180	9	27	and	and	CCONJ
ajis02-1180	9	28	discuss	discuss	VERB
ajis02-1180	9	29	why	why	SCONJ
ajis02-1180	9	30	such	such	ADJ
ajis02-1180	9	31	understanding	understanding	NOUN
ajis02-1180	9	32	is	be	AUX
ajis02-1180	9	33	important	important	ADJ
ajis02-1180	9	34	for	for	ADP
ajis02-1180	9	35	obtaining	obtain	VERB
ajis02-1180	9	36	value	value	NOUN
ajis02-1180	9	37	from	from	ADP
ajis02-1180	9	38	text	text	NOUN
ajis02-1180	9	39	clustering	clustering	NOUN
ajis02-1180	9	40	.	.	PUNCT
ajis02-1180	10	1	experiments	experiment	NOUN
ajis02-1180	10	2	were	be	AUX
ajis02-1180	10	3	conducted	conduct	VERB
ajis02-1180	10	4	using	use	VERB
ajis02-1180	10	5	a	a	DET
ajis02-1180	10	6	widely	widely	ADV
ajis02-1180	10	7	used	use	VERB
ajis02-1180	10	8	text	text	NOUN
ajis02-1180	10	9	document	document	NOUN
ajis02-1180	10	10	collection	collection	NOUN
ajis02-1180	10	11	where	where	SCONJ
ajis02-1180	10	12	the	the	DET
ajis02-1180	10	13	proposed	propose	VERB
ajis02-1180	10	14	methodology	methodology	NOUN
ajis02-1180	10	15	allowed	allow	VERB
ajis02-1180	10	16	exploring	explore	VERB
ajis02-1180	10	17	the	the	DET
ajis02-1180	10	18	term	term	NOUN
ajis02-1180	10	19	diversity	diversity	NOUN
ajis02-1180	10	20	for	for	ADP
ajis02-1180	10	21	a	a	DET
ajis02-1180	10	22	given	give	VERB
ajis02-1180	10	23	document	document	NOUN
ajis02-1180	10	24	collection	collection	NOUN
ajis02-1180	10	25	and	and	CCONJ
ajis02-1180	10	26	obtain	obtain	VERB
ajis02-1180	10	27	clusters	cluster	NOUN
ajis02-1180	10	28	with	with	ADP
ajis02-1180	10	29	minimum	minimum	ADJ
ajis02-1180	10	30	term	term	NOUN
ajis02-1180	10	31	overlap	overlap	NOUN
ajis02-1180	10	32	.	.	PUNCT
ajis02-1180	11	1	keywords	keyword	NOUN
ajis02-1180	11	2	:	:	PUNCT
ajis02-1180	11	3	term	term	NOUN
ajis02-1180	11	4	overlap	overlap	NOUN
ajis02-1180	11	5	,	,	PUNCT
ajis02-1180	11	6	growing	grow	VERB
ajis02-1180	11	7	self	self	NOUN
ajis02-1180	11	8	organizing	organizing	NOUN
ajis02-1180	11	9	map	map	NOUN
ajis02-1180	11	10	,	,	PUNCT
ajis02-1180	11	11	hierarchical	hierarchical	ADJ
ajis02-1180	11	12	clustering	clustering	NOUN
ajis02-1180	11	13	,	,	PUNCT
ajis02-1180	11	14	text	text	NOUN
ajis02-1180	11	15	document	document	NOUN
ajis02-1180	11	16	clustering	cluster	VERB
ajis02-1180	11	17	1	1	NUM
ajis02-1180	11	18	introduction	introduction	NOUN
ajis02-1180	11	19	with	with	ADP
ajis02-1180	11	20	the	the	DET
ajis02-1180	11	21	introduction	introduction	NOUN
ajis02-1180	11	22	of	of	ADP
ajis02-1180	11	23	world	world	NOUN
ajis02-1180	11	24	wide	wide	ADJ
ajis02-1180	11	25	web	web	NOUN
ajis02-1180	11	26	,	,	PUNCT
ajis02-1180	11	27	an	an	DET
ajis02-1180	11	28	enormous	enormous	ADJ
ajis02-1180	11	29	amount	amount	NOUN
ajis02-1180	11	30	of	of	ADP
ajis02-1180	11	31	text	text	NOUN
ajis02-1180	11	32	data	datum	NOUN
ajis02-1180	11	33	has	have	AUX
ajis02-1180	11	34	become	become	VERB
ajis02-1180	11	35	available	available	ADJ
ajis02-1180	11	36	.	.	PUNCT
ajis02-1180	12	1	also	also	ADV
ajis02-1180	12	2	,	,	PUNCT
ajis02-1180	12	3	the	the	DET
ajis02-1180	12	4	usage	usage	NOUN
ajis02-1180	12	5	of	of	ADP
ajis02-1180	12	6	electronic	electronic	ADJ
ajis02-1180	12	7	media	medium	NOUN
ajis02-1180	12	8	including	include	VERB
ajis02-1180	12	9	electronic	electronic	ADJ
ajis02-1180	12	10	format	format	NOUN
ajis02-1180	12	11	of	of	ADP
ajis02-1180	12	12	text	text	NOUN
ajis02-1180	12	13	data	datum	NOUN
ajis02-1180	12	14	has	have	AUX
ajis02-1180	12	15	been	be	AUX
ajis02-1180	12	16	increased	increase	VERB
ajis02-1180	12	17	in	in	ADP
ajis02-1180	12	18	every	every	DET
ajis02-1180	12	19	aspect	aspect	NOUN
ajis02-1180	12	20	of	of	ADP
ajis02-1180	12	21	human	human	ADJ
ajis02-1180	12	22	life	life	NOUN
ajis02-1180	12	23	due	due	ADP
ajis02-1180	12	24	to	to	ADP
ajis02-1180	12	25	easy	easy	ADJ
ajis02-1180	12	26	storage	storage	NOUN
ajis02-1180	12	27	and	and	CCONJ
ajis02-1180	12	28	accessibility	accessibility	NOUN
ajis02-1180	12	29	.	.	PUNCT
ajis02-1180	13	1	text	text	NOUN
ajis02-1180	13	2	mining	mining	NOUN
ajis02-1180	13	3	has	have	AUX
ajis02-1180	13	4	recently	recently	ADV
ajis02-1180	13	5	emerged	emerge	VERB
ajis02-1180	13	6	as	as	ADP
ajis02-1180	13	7	a	a	DET
ajis02-1180	13	8	popular	popular	ADJ
ajis02-1180	13	9	research	research	NOUN
ajis02-1180	13	10	field	field	NOUN
ajis02-1180	13	11	to	to	PART
ajis02-1180	13	12	find	find	VERB
ajis02-1180	13	13	hidden	hidden	ADJ
ajis02-1180	13	14	patterns	pattern	NOUN
ajis02-1180	13	15	in	in	ADP
ajis02-1180	13	16	electronic	electronic	ADJ
ajis02-1180	13	17	text	text	NOUN
ajis02-1180	13	18	data	datum	NOUN
ajis02-1180	13	19	.	.	PUNCT
ajis02-1180	14	1	this	this	DET
ajis02-1180	14	2	research	research	NOUN
ajis02-1180	14	3	field	field	NOUN
ajis02-1180	14	4	has	have	AUX
ajis02-1180	14	5	received	receive	VERB
ajis02-1180	14	6	attention	attention	NOUN
ajis02-1180	14	7	of	of	ADP
ajis02-1180	14	8	researchers	researcher	NOUN
ajis02-1180	14	9	due	due	ADJ
ajis02-1180	14	10	to	to	ADP
ajis02-1180	14	11	availability	availability	NOUN
ajis02-1180	14	12	of	of	ADP
ajis02-1180	14	13	massive	massive	ADJ
ajis02-1180	14	14	volumes	volume	NOUN
ajis02-1180	14	15	of	of	ADP
ajis02-1180	14	16	text	text	NOUN
ajis02-1180	14	17	and	and	CCONJ
ajis02-1180	14	18	sophisticated	sophisticated	ADJ
ajis02-1180	14	19	text	text	NOUN
ajis02-1180	14	20	mining	mining	NOUN
ajis02-1180	14	21	techniques	technique	NOUN
ajis02-1180	14	22	are	be	AUX
ajis02-1180	14	23	introduced	introduce	VERB
ajis02-1180	14	24	to	to	PART
ajis02-1180	14	25	analyse	analyse	VERB
ajis02-1180	14	26	text	text	NOUN
ajis02-1180	14	27	data	datum	NOUN
ajis02-1180	14	28	in	in	ADP
ajis02-1180	14	29	different	different	ADJ
ajis02-1180	14	30	classification	classification	NOUN
ajis02-1180	14	31	(	(	PUNCT
ajis02-1180	14	32	grouping	group	VERB
ajis02-1180	14	33	of	of	ADP
ajis02-1180	14	34	text	text	NOUN
ajis02-1180	14	35	data	datum	NOUN
ajis02-1180	14	36	into	into	ADP
ajis02-1180	14	37	predefined	predefine	VERB
ajis02-1180	14	38	classes	class	NOUN
ajis02-1180	14	39	)	)	PUNCT
ajis02-1180	14	40	and	and	CCONJ
ajis02-1180	14	41	text	text	NOUN
ajis02-1180	14	42	clustering	clustering	NOUN
ajis02-1180	14	43	(	(	PUNCT
ajis02-1180	14	44	grouping	grouping	NOUN
ajis02-1180	14	45	of	of	ADP
ajis02-1180	14	46	text	text	NOUN
ajis02-1180	14	47	data	datum	NOUN
ajis02-1180	14	48	into	into	ADP
ajis02-1180	14	49	similar	similar	ADJ
ajis02-1180	14	50	groups	group	NOUN
ajis02-1180	14	51	without	without	ADP
ajis02-1180	14	52	known	know	VERB
ajis02-1180	14	53	class	class	NOUN
ajis02-1180	14	54	labels	label	NOUN
ajis02-1180	14	55	)	)	PUNCT
ajis02-1180	14	56	are	be	AUX
ajis02-1180	14	57	two	two	NUM
ajis02-1180	14	58	main	main	ADJ
ajis02-1180	14	59	areas	area	NOUN
ajis02-1180	14	60	which	which	PRON
ajis02-1180	14	61	fall	fall	VERB
ajis02-1180	14	62	under	under	ADP
ajis02-1180	14	63	the	the	DET
ajis02-1180	14	64	umbrella	umbrella	NOUN
ajis02-1180	14	65	of	of	ADP
ajis02-1180	14	66	text	text	NOUN
ajis02-1180	14	67	mining	mining	NOUN
ajis02-1180	14	68	.	.	PUNCT
ajis02-1180	15	1	however	however	ADV
ajis02-1180	15	2	,	,	PUNCT
ajis02-1180	15	3	text	text	NOUN
ajis02-1180	15	4	clustering	clustering	NOUN
ajis02-1180	15	5	techniques	technique	NOUN
ajis02-1180	15	6	are	be	AUX
ajis02-1180	15	7	preferred	prefer	VERB
ajis02-1180	15	8	over	over	ADP
ajis02-1180	15	9	text	text	NOUN
ajis02-1180	15	10	classification	classification	NOUN
ajis02-1180	15	11	techniques	technique	NOUN
ajis02-1180	15	12	in	in	ADP
ajis02-1180	15	13	most	most	ADJ
ajis02-1180	15	14	of	of	ADP
ajis02-1180	15	15	the	the	DET
ajis02-1180	15	16	cases	case	NOUN
ajis02-1180	15	17	,	,	PUNCT
ajis02-1180	15	18	due	due	ADP
ajis02-1180	15	19	to	to	ADP
ajis02-1180	15	20	lack	lack	NOUN
ajis02-1180	15	21	of	of	ADP
ajis02-1180	15	22	categorical	categorical	ADJ
ajis02-1180	15	23	information	information	NOUN
ajis02-1180	15	24	in	in	ADP
ajis02-1180	15	25	most	most	ADJ
ajis02-1180	15	26	text	text	NOUN
ajis02-1180	15	27	data	datum	NOUN
ajis02-1180	15	28	sets	set	NOUN
ajis02-1180	15	29	(	(	PUNCT
ajis02-1180	15	30	gunasinghe	gunasinghe	NOUN
ajis02-1180	15	31	et	et	PROPN
ajis02-1180	15	32	al	al	PROPN
ajis02-1180	15	33	.	.	PROPN
ajis02-1180	15	34	2012	2012	NUM
ajis02-1180	15	35	)	)	PUNCT
ajis02-1180	15	36	.	.	PUNCT
ajis02-1180	16	1	document	document	NOUN
ajis02-1180	16	2	clustering	clustering	NOUN
ajis02-1180	16	3	is	be	AUX
ajis02-1180	16	4	a	a	DET
ajis02-1180	16	5	widely	widely	ADV
ajis02-1180	16	6	used	use	VERB
ajis02-1180	16	7	,	,	PUNCT
ajis02-1180	16	8	useful	useful	ADJ
ajis02-1180	16	9	technique	technique	NOUN
ajis02-1180	16	10	to	to	PART
ajis02-1180	16	11	explore	explore	VERB
ajis02-1180	16	12	hidden	hidden	ADJ
ajis02-1180	16	13	patterns	pattern	NOUN
ajis02-1180	16	14	in	in	ADP
ajis02-1180	16	15	a	a	DET
ajis02-1180	16	16	collection	collection	NOUN
ajis02-1180	16	17	of	of	ADP
ajis02-1180	16	18	text	text	NOUN
ajis02-1180	16	19	documents	document	NOUN
ajis02-1180	16	20	.	.	PUNCT
ajis02-1180	17	1	during	during	ADP
ajis02-1180	17	2	the	the	DET
ajis02-1180	17	3	document	document	NOUN
ajis02-1180	17	4	clustering	clustering	NOUN
ajis02-1180	17	5	process	process	NOUN
ajis02-1180	17	6	,	,	PUNCT
ajis02-1180	17	7	documents	document	NOUN
ajis02-1180	17	8	are	be	AUX
ajis02-1180	17	9	grouped	group	VERB
ajis02-1180	17	10	into	into	ADP
ajis02-1180	17	11	a	a	DET
ajis02-1180	17	12	number	number	NOUN
ajis02-1180	17	13	of	of	ADP
ajis02-1180	17	14	clusters	cluster	NOUN
ajis02-1180	17	15	,	,	PUNCT
ajis02-1180	17	16	in	in	ADP
ajis02-1180	17	17	which	which	PRON
ajis02-1180	17	18	documents	document	NOUN
ajis02-1180	17	19	belonging	belong	VERB
ajis02-1180	17	20	to	to	ADP
ajis02-1180	17	21	the	the	DET
ajis02-1180	17	22	same	same	ADJ
ajis02-1180	17	23	cluster	cluster	NOUN
ajis02-1180	17	24	demonstrate	demonstrate	VERB
ajis02-1180	17	25	a	a	DET
ajis02-1180	17	26	high	high	ADJ
ajis02-1180	17	27	degree	degree	NOUN
ajis02-1180	17	28	of	of	ADP
ajis02-1180	17	29	homogeneity	homogeneity	NOUN
ajis02-1180	17	30	and	and	CCONJ
ajis02-1180	17	31	documents	document	NOUN
ajis02-1180	17	32	belonging	belong	VERB
ajis02-1180	17	33	to	to	ADP
ajis02-1180	17	34	two	two	NUM
ajis02-1180	17	35	different	different	ADJ
ajis02-1180	17	36	clusters	cluster	NOUN
ajis02-1180	17	37	demonstrate	demonstrate	VERB
ajis02-1180	17	38	a	a	DET
ajis02-1180	17	39	s55	s55	PROPN
ajis02-1180	17	40	australasian	australasian	ADJ
ajis02-1180	17	41	journal	journal	NOUN
ajis02-1180	17	42	of	of	ADP
ajis02-1180	17	43	information	information	NOUN
ajis02-1180	17	44	systems	system	NOUN
ajis02-1180	17	45	nathawitharana	nathawitharana	PROPN
ajis02-1180	17	46	,	,	PUNCT
ajis02-1180	17	47	alahakoon	alahakoon	PROPN
ajis02-1180	17	48	&	&	CCONJ
ajis02-1180	17	49	matharage	matharage	NOUN
ajis02-1180	17	50	2015	2015	NUM
ajis02-1180	17	51	,	,	PUNCT
ajis02-1180	17	52	vol	vol	NOUN
ajis02-1180	17	53	.	.	PROPN
ajis02-1180	18	1	19	19	NUM
ajis02-1180	18	2	,	,	PUNCT
ajis02-1180	18	3	pp	pp	PROPN
ajis02-1180	18	4	.	.	PUNCT
ajis02-1180	19	1	s55	s55	PROPN
ajis02-1180	19	2	-	-	PUNCT
ajis02-1180	19	3	s75	s75	NOUN
ajis02-1180	19	4	improving	improve	VERB
ajis02-1180	19	5	decision	decision	NOUN
ajis02-1180	19	6	value	value	NOUN
ajis02-1180	19	7	of	of	ADP
ajis02-1180	19	8	hierarchical	hierarchical	ADJ
ajis02-1180	19	9	text	text	NOUN
ajis02-1180	19	10	high	high	ADJ
ajis02-1180	19	11	degree	degree	NOUN
ajis02-1180	19	12	of	of	ADP
ajis02-1180	19	13	heterogeneity	heterogeneity	NOUN
ajis02-1180	19	14	.	.	PUNCT
ajis02-1180	20	1	since	since	SCONJ
ajis02-1180	20	2	documents	document	NOUN
ajis02-1180	20	3	need	need	VERB
ajis02-1180	20	4	to	to	PART
ajis02-1180	20	5	be	be	AUX
ajis02-1180	20	6	converted	convert	VERB
ajis02-1180	20	7	into	into	ADP
ajis02-1180	20	8	a	a	DET
ajis02-1180	20	9	numerical	numerical	ADJ
ajis02-1180	20	10	format	format	NOUN
ajis02-1180	20	11	prior	prior	ADV
ajis02-1180	20	12	to	to	ADP
ajis02-1180	20	13	clustering	clustering	NOUN
ajis02-1180	20	14	,	,	PUNCT
ajis02-1180	20	15	they	they	PRON
ajis02-1180	20	16	are	be	AUX
ajis02-1180	20	17	represented	represent	VERB
ajis02-1180	20	18	as	as	ADP
ajis02-1180	20	19	a	a	DET
ajis02-1180	20	20	vector	vector	NOUN
ajis02-1180	20	21	of	of	ADP
ajis02-1180	20	22	weighted	weight	VERB
ajis02-1180	20	23	terms	term	NOUN
ajis02-1180	20	24	,	,	PUNCT
ajis02-1180	20	25	where	where	SCONJ
ajis02-1180	20	26	terms	term	NOUN
ajis02-1180	20	27	can	can	AUX
ajis02-1180	20	28	comprise	comprise	VERB
ajis02-1180	20	29	of	of	ADP
ajis02-1180	20	30	individual	individual	ADJ
ajis02-1180	20	31	words	word	NOUN
ajis02-1180	20	32	or	or	CCONJ
ajis02-1180	20	33	word	word	NOUN
ajis02-1180	20	34	sequences	sequence	NOUN
ajis02-1180	20	35	and	and	CCONJ
ajis02-1180	20	36	the	the	DET
ajis02-1180	20	37	clustering	clustering	ADJ
ajis02-1180	20	38	process	process	NOUN
ajis02-1180	20	39	is	be	AUX
ajis02-1180	20	40	carried	carry	VERB
ajis02-1180	20	41	out	out	ADP
ajis02-1180	20	42	based	base	VERB
ajis02-1180	20	43	on	on	ADP
ajis02-1180	20	44	the	the	DET
ajis02-1180	20	45	detailed	detailed	ADJ
ajis02-1180	20	46	term	term	NOUN
ajis02-1180	20	47	similarities	similarity	NOUN
ajis02-1180	20	48	of	of	ADP
ajis02-1180	20	49	the	the	DET
ajis02-1180	20	50	document	document	NOUN
ajis02-1180	20	51	vectors	vector	NOUN
ajis02-1180	20	52	(	(	PUNCT
ajis02-1180	20	53	kohonen	kohonen	PROPN
ajis02-1180	20	54	et	et	PROPN
ajis02-1180	20	55	al	al	PROPN
ajis02-1180	20	56	.	.	PROPN
ajis02-1180	20	57	2000	2000	NUM
ajis02-1180	20	58	)	)	PUNCT
ajis02-1180	20	59	.	.	PUNCT
ajis02-1180	21	1	humans	human	NOUN
ajis02-1180	21	2	group	group	NOUN
ajis02-1180	21	3	documents	document	NOUN
ajis02-1180	21	4	into	into	ADP
ajis02-1180	21	5	different	different	ADJ
ajis02-1180	21	6	topics	topic	NOUN
ajis02-1180	21	7	or	or	CCONJ
ajis02-1180	21	8	categories	category	NOUN
ajis02-1180	21	9	based	base	VERB
ajis02-1180	21	10	on	on	ADP
ajis02-1180	21	11	the	the	DET
ajis02-1180	21	12	content	content	NOUN
ajis02-1180	21	13	relevancy	relevancy	NOUN
ajis02-1180	21	14	to	to	ADP
ajis02-1180	21	15	those	those	DET
ajis02-1180	21	16	topics	topic	NOUN
ajis02-1180	21	17	.	.	PUNCT
ajis02-1180	22	1	due	due	ADP
ajis02-1180	22	2	to	to	ADP
ajis02-1180	22	3	semantic	semantic	ADJ
ajis02-1180	22	4	or	or	CCONJ
ajis02-1180	22	5	syntactic	syntactic	ADJ
ajis02-1180	22	6	necessity	necessity	NOUN
ajis02-1180	22	7	,	,	PUNCT
ajis02-1180	22	8	words	word	NOUN
ajis02-1180	22	9	or	or	CCONJ
ajis02-1180	22	10	word	word	NOUN
ajis02-1180	22	11	sequences	sequence	NOUN
ajis02-1180	22	12	can	can	AUX
ajis02-1180	22	13	be	be	AUX
ajis02-1180	22	14	repeated	repeat	VERB
ajis02-1180	22	15	in	in	ADP
ajis02-1180	22	16	documents	document	NOUN
ajis02-1180	22	17	grouped	group	VERB
ajis02-1180	22	18	under	under	ADP
ajis02-1180	22	19	different	different	ADJ
ajis02-1180	22	20	topics	topic	NOUN
ajis02-1180	22	21	so	so	SCONJ
ajis02-1180	22	22	it	it	PRON
ajis02-1180	22	23	is	be	AUX
ajis02-1180	22	24	not	not	PART
ajis02-1180	22	25	possible	possible	ADJ
ajis02-1180	22	26	to	to	PART
ajis02-1180	22	27	expect	expect	VERB
ajis02-1180	22	28	a	a	DET
ajis02-1180	22	29	one	one	NOUN
ajis02-1180	22	30	to	to	ADP
ajis02-1180	22	31	one	one	NUM
ajis02-1180	22	32	mapping	mapping	NOUN
ajis02-1180	22	33	between	between	ADP
ajis02-1180	22	34	the	the	DET
ajis02-1180	22	35	terms	term	NOUN
ajis02-1180	22	36	of	of	ADP
ajis02-1180	22	37	the	the	DET
ajis02-1180	22	38	documents	document	NOUN
ajis02-1180	22	39	and	and	CCONJ
ajis02-1180	22	40	the	the	DET
ajis02-1180	22	41	topics	topic	NOUN
ajis02-1180	22	42	.	.	PUNCT
ajis02-1180	23	1	for	for	ADP
ajis02-1180	23	2	example	example	NOUN
ajis02-1180	23	3	,	,	PUNCT
ajis02-1180	23	4	the	the	DET
ajis02-1180	23	5	word	word	NOUN
ajis02-1180	23	6	‘	'	PUNCT
ajis02-1180	23	7	scheme	scheme	NOUN
ajis02-1180	23	8	’	'	PUNCT
ajis02-1180	23	9	can	can	AUX
ajis02-1180	23	10	be	be	AUX
ajis02-1180	23	11	used	use	VERB
ajis02-1180	23	12	in	in	ADP
ajis02-1180	23	13	explaining	explain	VERB
ajis02-1180	23	14	housing	housing	NOUN
ajis02-1180	23	15	schemes	scheme	NOUN
ajis02-1180	23	16	,	,	PUNCT
ajis02-1180	23	17	pension	pension	NOUN
ajis02-1180	23	18	schemes	scheme	NOUN
ajis02-1180	23	19	,	,	PUNCT
ajis02-1180	23	20	recycling	recycling	NOUN
ajis02-1180	23	21	schemes	scheme	NOUN
ajis02-1180	23	22	,	,	PUNCT
ajis02-1180	23	23	and	and	CCONJ
ajis02-1180	23	24	colour	colour	NOUN
ajis02-1180	23	25	schemes	scheme	NOUN
ajis02-1180	23	26	which	which	PRON
ajis02-1180	23	27	are	be	AUX
ajis02-1180	23	28	associated	associate	VERB
ajis02-1180	23	29	with	with	ADP
ajis02-1180	23	30	different	different	ADJ
ajis02-1180	23	31	themes	theme	NOUN
ajis02-1180	23	32	according	accord	VERB
ajis02-1180	23	33	to	to	ADP
ajis02-1180	23	34	human	human	ADJ
ajis02-1180	23	35	categorization	categorization	NOUN
ajis02-1180	23	36	.	.	PUNCT
ajis02-1180	24	1	because	because	SCONJ
ajis02-1180	24	2	of	of	ADP
ajis02-1180	24	3	above	above	ADP
ajis02-1180	24	4	reason	reason	NOUN
ajis02-1180	24	5	traditional	traditional	ADJ
ajis02-1180	24	6	cluster	cluster	NOUN
ajis02-1180	24	7	evaluation	evaluation	NOUN
ajis02-1180	24	8	measures	measure	NOUN
ajis02-1180	24	9	become	become	VERB
ajis02-1180	24	10	less	less	ADV
ajis02-1180	24	11	important	important	ADJ
ajis02-1180	24	12	when	when	SCONJ
ajis02-1180	24	13	clustering	cluster	VERB
ajis02-1180	24	14	text	text	NOUN
ajis02-1180	24	15	documents	document	NOUN
ajis02-1180	24	16	and	and	CCONJ
ajis02-1180	24	17	we	we	PRON
ajis02-1180	24	18	can	can	AUX
ajis02-1180	24	19	not	not	PART
ajis02-1180	24	20	expect	expect	VERB
ajis02-1180	24	21	the	the	DET
ajis02-1180	24	22	documents	document	NOUN
ajis02-1180	24	23	which	which	PRON
ajis02-1180	24	24	belong	belong	VERB
ajis02-1180	24	25	to	to	ADP
ajis02-1180	24	26	the	the	DET
ajis02-1180	24	27	same	same	ADJ
ajis02-1180	24	28	human	human	ADJ
ajis02-1180	24	29	categorized	categorize	VERB
ajis02-1180	24	30	group	group	NOUN
ajis02-1180	24	31	to	to	PART
ajis02-1180	24	32	be	be	AUX
ajis02-1180	24	33	clustered	cluster	VERB
ajis02-1180	24	34	together	together	ADV
ajis02-1180	24	35	.	.	PUNCT
ajis02-1180	25	1	in	in	ADP
ajis02-1180	25	2	general	general	ADJ
ajis02-1180	25	3	,	,	PUNCT
ajis02-1180	25	4	documents	document	NOUN
ajis02-1180	25	5	which	which	PRON
ajis02-1180	25	6	are	be	AUX
ajis02-1180	25	7	associated	associate	VERB
ajis02-1180	25	8	with	with	ADP
ajis02-1180	25	9	similar	similar	ADJ
ajis02-1180	25	10	topics	topic	NOUN
ajis02-1180	25	11	are	be	AUX
ajis02-1180	25	12	expected	expect	VERB
ajis02-1180	25	13	to	to	PART
ajis02-1180	25	14	have	have	VERB
ajis02-1180	25	15	significant	significant	ADJ
ajis02-1180	25	16	term	term	NOUN
ajis02-1180	25	17	overlap	overlap	NOUN
ajis02-1180	25	18	and	and	CCONJ
ajis02-1180	25	19	a	a	DET
ajis02-1180	25	20	low	low	ADJ
ajis02-1180	25	21	term	term	NOUN
ajis02-1180	25	22	overlap	overlap	NOUN
ajis02-1180	25	23	is	be	AUX
ajis02-1180	25	24	expected	expect	VERB
ajis02-1180	25	25	in	in	ADP
ajis02-1180	25	26	the	the	DET
ajis02-1180	25	27	documents	document	NOUN
ajis02-1180	25	28	which	which	PRON
ajis02-1180	25	29	belong	belong	VERB
ajis02-1180	25	30	to	to	ADP
ajis02-1180	25	31	very	very	ADV
ajis02-1180	25	32	different	different	ADJ
ajis02-1180	25	33	topics	topic	NOUN
ajis02-1180	25	34	.	.	PUNCT
ajis02-1180	26	1	despite	despite	SCONJ
ajis02-1180	26	2	this	this	DET
ajis02-1180	26	3	general	general	ADJ
ajis02-1180	26	4	belief	belief	NOUN
ajis02-1180	26	5	there	there	PRON
ajis02-1180	26	6	might	might	AUX
ajis02-1180	26	7	be	be	AUX
ajis02-1180	26	8	situations	situation	NOUN
ajis02-1180	26	9	where	where	SCONJ
ajis02-1180	26	10	documents	document	NOUN
ajis02-1180	26	11	describing	describe	VERB
ajis02-1180	26	12	vastly	vastly	ADV
ajis02-1180	26	13	different	different	ADJ
ajis02-1180	26	14	topics	topic	NOUN
ajis02-1180	26	15	share	share	VERB
ajis02-1180	26	16	a	a	DET
ajis02-1180	26	17	considerable	considerable	ADJ
ajis02-1180	26	18	percentage	percentage	NOUN
ajis02-1180	26	19	of	of	ADP
ajis02-1180	26	20	terms	term	NOUN
ajis02-1180	26	21	,	,	PUNCT
ajis02-1180	26	22	as	as	ADV
ajis02-1180	26	23	well	well	ADV
ajis02-1180	26	24	as	as	ADP
ajis02-1180	26	25	documents	document	NOUN
ajis02-1180	26	26	describing	describe	VERB
ajis02-1180	26	27	similar	similar	ADJ
ajis02-1180	26	28	topics	topic	NOUN
ajis02-1180	26	29	share	share	VERB
ajis02-1180	26	30	a	a	DET
ajis02-1180	26	31	lesser	less	ADJ
ajis02-1180	26	32	number	number	NOUN
ajis02-1180	26	33	of	of	ADP
ajis02-1180	26	34	terms	term	NOUN
ajis02-1180	26	35	.	.	PUNCT
ajis02-1180	27	1	since	since	SCONJ
ajis02-1180	27	2	term	term	NOUN
ajis02-1180	27	3	frequencies	frequency	NOUN
ajis02-1180	27	4	are	be	AUX
ajis02-1180	27	5	used	use	VERB
ajis02-1180	27	6	for	for	ADP
ajis02-1180	27	7	text	text	NOUN
ajis02-1180	27	8	document	document	NOUN
ajis02-1180	27	9	clustering	cluster	VERB
ajis02-1180	27	10	,	,	PUNCT
ajis02-1180	27	11	if	if	SCONJ
ajis02-1180	27	12	same	same	ADJ
ajis02-1180	27	13	terms	term	NOUN
ajis02-1180	27	14	with	with	ADP
ajis02-1180	27	15	similar	similar	ADJ
ajis02-1180	27	16	frequencies	frequency	NOUN
ajis02-1180	27	17	exist	exist	VERB
ajis02-1180	27	18	within	within	ADP
ajis02-1180	27	19	two	two	NUM
ajis02-1180	27	20	documents	document	NOUN
ajis02-1180	27	21	there	there	PRON
ajis02-1180	27	22	is	be	VERB
ajis02-1180	27	23	very	very	ADV
ajis02-1180	27	24	high	high	ADJ
ajis02-1180	27	25	possibility	possibility	NOUN
ajis02-1180	27	26	they	they	PRON
ajis02-1180	27	27	will	will	AUX
ajis02-1180	27	28	be	be	AUX
ajis02-1180	27	29	clustered	cluster	VERB
ajis02-1180	27	30	together	together	ADV
ajis02-1180	27	31	regardless	regardless	ADV
ajis02-1180	27	32	of	of	ADP
ajis02-1180	27	33	the	the	DET
ajis02-1180	27	34	human	human	ADJ
ajis02-1180	27	35	categorized	categorize	VERB
ajis02-1180	27	36	group	group	NOUN
ajis02-1180	27	37	they	they	PRON
ajis02-1180	27	38	actually	actually	ADV
ajis02-1180	27	39	belong	belong	VERB
ajis02-1180	27	40	to	to	ADP
ajis02-1180	27	41	.	.	PUNCT
ajis02-1180	28	1	this	this	DET
ajis02-1180	28	2	highlights	highlight	VERB
ajis02-1180	28	3	the	the	DET
ajis02-1180	28	4	importance	importance	NOUN
ajis02-1180	28	5	of	of	ADP
ajis02-1180	28	6	analysing	analyse	VERB
ajis02-1180	28	7	term	term	NOUN
ajis02-1180	28	8	overlap	overlap	NOUN
ajis02-1180	28	9	since	since	SCONJ
ajis02-1180	28	10	the	the	DET
ajis02-1180	28	11	term	term	NOUN
ajis02-1180	28	12	overlap	overlap	NOUN
ajis02-1180	28	13	between	between	ADP
ajis02-1180	28	14	the	the	DET
ajis02-1180	28	15	documents	document	NOUN
ajis02-1180	28	16	have	have	VERB
ajis02-1180	28	17	considerable	considerable	ADJ
ajis02-1180	28	18	impact	impact	NOUN
ajis02-1180	28	19	in	in	ADP
ajis02-1180	28	20	results	result	NOUN
ajis02-1180	28	21	we	we	PRON
ajis02-1180	28	22	obtain	obtain	VERB
ajis02-1180	28	23	by	by	ADP
ajis02-1180	28	24	text	text	NOUN
ajis02-1180	28	25	documents	document	NOUN
ajis02-1180	28	26	clustering	cluster	VERB
ajis02-1180	28	27	.	.	PUNCT
ajis02-1180	29	1	in	in	ADP
ajis02-1180	29	2	addition	addition	NOUN
ajis02-1180	29	3	overlap	overlap	NOUN
ajis02-1180	29	4	calculation	calculation	NOUN
ajis02-1180	29	5	is	be	AUX
ajis02-1180	29	6	highly	highly	ADV
ajis02-1180	29	7	beneficial	beneficial	ADJ
ajis02-1180	29	8	to	to	PART
ajis02-1180	29	9	identify	identify	VERB
ajis02-1180	29	10	the	the	DET
ajis02-1180	29	11	term	term	NOUN
ajis02-1180	29	12	diversity	diversity	NOUN
ajis02-1180	29	13	of	of	ADP
ajis02-1180	29	14	a	a	DET
ajis02-1180	29	15	given	give	VERB
ajis02-1180	29	16	document	document	NOUN
ajis02-1180	29	17	set	set	NOUN
ajis02-1180	29	18	.	.	PUNCT
ajis02-1180	30	1	different	different	ADJ
ajis02-1180	30	2	types	type	NOUN
ajis02-1180	30	3	of	of	ADP
ajis02-1180	30	4	clustering	clustering	ADJ
ajis02-1180	30	5	algorithms	algorithms	NOUN
ajis02-1180	30	6	exists	exist	NOUN
ajis02-1180	30	7	which	which	PRON
ajis02-1180	30	8	include	include	VERB
ajis02-1180	30	9	hierarchical	hierarchical	ADJ
ajis02-1180	30	10	clustering	clustering	NOUN
ajis02-1180	30	11	,	,	PUNCT
ajis02-1180	30	12	partitional	partitional	ADJ
ajis02-1180	30	13	clustering	clustering	NOUN
ajis02-1180	30	14	,	,	PUNCT
ajis02-1180	30	15	fuzzy	fuzzy	ADJ
ajis02-1180	30	16	clustering	clustering	NOUN
ajis02-1180	30	17	,	,	PUNCT
ajis02-1180	30	18	and	and	CCONJ
ajis02-1180	30	19	artificial	artificial	ADJ
ajis02-1180	30	20	neural	neural	ADJ
ajis02-1180	30	21	networks	network	NOUN
ajis02-1180	30	22	(	(	PUNCT
ajis02-1180	30	23	jain	jain	PROPN
ajis02-1180	30	24	et	et	PROPN
ajis02-1180	30	25	al	al	PROPN
ajis02-1180	30	26	.	.	PROPN
ajis02-1180	30	27	1999	1999	NUM
ajis02-1180	30	28	)	)	PUNCT
ajis02-1180	30	29	.	.	PUNCT
ajis02-1180	31	1	several	several	ADJ
ajis02-1180	31	2	most	most	ADV
ajis02-1180	31	3	popular	popular	ADJ
ajis02-1180	31	4	clustering	clustering	NOUN
ajis02-1180	31	5	algorithms	algorithm	NOUN
ajis02-1180	31	6	are	be	AUX
ajis02-1180	31	7	k	k	NOUN
ajis02-1180	31	8	-	-	PUNCT
ajis02-1180	31	9	means	means	ADJ
ajis02-1180	31	10	,	,	PUNCT
ajis02-1180	31	11	self	self	NOUN
ajis02-1180	31	12	-	-	PUNCT
ajis02-1180	31	13	organizing	organize	VERB
ajis02-1180	31	14	map	map	NOUN
ajis02-1180	31	15	and	and	CCONJ
ajis02-1180	31	16	som	som	NOUN
ajis02-1180	31	17	based	base	VERB
ajis02-1180	31	18	clustering	clustering	ADJ
ajis02-1180	31	19	algorithms	algorithm	NOUN
ajis02-1180	31	20	.	.	PUNCT
ajis02-1180	32	1	out	out	ADP
ajis02-1180	32	2	of	of	ADP
ajis02-1180	32	3	the	the	DET
ajis02-1180	32	4	many	many	ADJ
ajis02-1180	32	5	clustering	clustering	ADJ
ajis02-1180	32	6	techniques	technique	NOUN
ajis02-1180	32	7	,	,	PUNCT
ajis02-1180	32	8	self	self	NOUN
ajis02-1180	32	9	-	-	PUNCT
ajis02-1180	32	10	organizing	organize	VERB
ajis02-1180	32	11	map	map	NOUN
ajis02-1180	32	12	(	(	PUNCT
ajis02-1180	32	13	som	som	NOUN
ajis02-1180	32	14	)	)	PUNCT
ajis02-1180	32	15	(	(	PUNCT
ajis02-1180	32	16	kohonen	kohonen	NOUN
ajis02-1180	32	17	1998	1998	NUM
ajis02-1180	32	18	)	)	PUNCT
ajis02-1180	32	19	based	base	VERB
ajis02-1180	32	20	techniques	technique	NOUN
ajis02-1180	32	21	are	be	AUX
ajis02-1180	32	22	widely	widely	ADV
ajis02-1180	32	23	used	use	VERB
ajis02-1180	32	24	by	by	ADP
ajis02-1180	32	25	the	the	DET
ajis02-1180	32	26	data	datum	NOUN
ajis02-1180	32	27	analysts	analyst	NOUN
ajis02-1180	32	28	(	(	PUNCT
ajis02-1180	32	29	kaski	kaski	VERB
ajis02-1180	32	30	et	et	PROPN
ajis02-1180	32	31	al	al	PROPN
ajis02-1180	32	32	.	.	PROPN
ajis02-1180	32	33	1998	1998	NUM
ajis02-1180	32	34	;	;	PUNCT
ajis02-1180	32	35	kohonen	kohonen	PROPN
ajis02-1180	32	36	et	et	PROPN
ajis02-1180	32	37	al	al	PROPN
ajis02-1180	32	38	.	.	PROPN
ajis02-1180	32	39	2000	2000	NUM
ajis02-1180	32	40	)	)	PUNCT
ajis02-1180	32	41	.	.	PUNCT
ajis02-1180	33	1	the	the	DET
ajis02-1180	33	2	growing	grow	VERB
ajis02-1180	33	3	self	self	NOUN
ajis02-1180	33	4	organizing	organizing	NOUN
ajis02-1180	33	5	map	map	NOUN
ajis02-1180	33	6	(	(	PUNCT
ajis02-1180	33	7	gsom	gsom	PROPN
ajis02-1180	33	8	)	)	PUNCT
ajis02-1180	33	9	(	(	PUNCT
ajis02-1180	33	10	alahakoon	alahakoon	NOUN
ajis02-1180	33	11	et	et	PROPN
ajis02-1180	33	12	al	al	PROPN
ajis02-1180	33	13	.	.	PROPN
ajis02-1180	33	14	2000	2000	NUM
ajis02-1180	33	15	)	)	PUNCT
ajis02-1180	33	16	is	be	AUX
ajis02-1180	33	17	a	a	DET
ajis02-1180	33	18	prominent	prominent	ADJ
ajis02-1180	33	19	member	member	NOUN
ajis02-1180	33	20	of	of	ADP
ajis02-1180	33	21	the	the	DET
ajis02-1180	33	22	som	som	NOUN
ajis02-1180	33	23	family	family	NOUN
ajis02-1180	33	24	and	and	CCONJ
ajis02-1180	33	25	it	it	PRON
ajis02-1180	33	26	has	have	AUX
ajis02-1180	33	27	shown	show	VERB
ajis02-1180	33	28	great	great	ADJ
ajis02-1180	33	29	potential	potential	NOUN
ajis02-1180	33	30	in	in	ADP
ajis02-1180	33	31	different	different	ADJ
ajis02-1180	33	32	types	type	NOUN
ajis02-1180	33	33	of	of	ADP
ajis02-1180	33	34	clustering	clustering	ADJ
ajis02-1180	33	35	tasks	task	NOUN
ajis02-1180	33	36	.	.	PUNCT
ajis02-1180	34	1	the	the	DET
ajis02-1180	34	2	gsom	gsom	PROPN
ajis02-1180	34	3	algorithm	algorithm	NOUN
ajis02-1180	34	4	has	have	AUX
ajis02-1180	34	5	been	be	AUX
ajis02-1180	34	6	used	use	VERB
ajis02-1180	34	7	across	across	ADP
ajis02-1180	34	8	diverse	diverse	ADJ
ajis02-1180	34	9	disciplines	discipline	NOUN
ajis02-1180	34	10	due	due	ADP
ajis02-1180	34	11	to	to	ADP
ajis02-1180	34	12	its	its	PRON
ajis02-1180	34	13	capabilities	capability	NOUN
ajis02-1180	34	14	and	and	CCONJ
ajis02-1180	34	15	several	several	ADJ
ajis02-1180	34	16	applications	application	NOUN
ajis02-1180	34	17	of	of	ADP
ajis02-1180	34	18	the	the	DET
ajis02-1180	34	19	gsom	gsom	NOUN
ajis02-1180	34	20	can	can	AUX
ajis02-1180	34	21	be	be	AUX
ajis02-1180	34	22	found	find	VERB
ajis02-1180	34	23	in	in	ADP
ajis02-1180	34	24	hsu	hsu	PROPN
ajis02-1180	34	25	et	et	PROPN
ajis02-1180	34	26	al	al	PROPN
ajis02-1180	34	27	.	.	PROPN
ajis02-1180	35	1	(	(	PUNCT
ajis02-1180	35	2	2003	2003	NUM
ajis02-1180	35	3	)	)	PUNCT
ajis02-1180	35	4	,	,	PUNCT
ajis02-1180	35	5	amarasiri	amarasiri	ADP
ajis02-1180	35	6	et	et	PROPN
ajis02-1180	35	7	al	al	PROPN
ajis02-1180	35	8	.	.	PUNCT
ajis02-1180	36	1	(	(	PUNCT
ajis02-1180	36	2	2005	2005	NUM
ajis02-1180	36	3	)	)	PUNCT
ajis02-1180	36	4	,	,	PUNCT
ajis02-1180	36	5	matharage	matharage	NOUN
ajis02-1180	36	6	et	et	PROPN
ajis02-1180	36	7	al	al	PROPN
ajis02-1180	36	8	.	.	PROPN
ajis02-1180	37	1	(	(	PUNCT
ajis02-1180	37	2	2009	2009	NUM
ajis02-1180	37	3	)	)	PUNCT
ajis02-1180	37	4	,	,	PUNCT
ajis02-1180	37	5	ahmad	ahmad	PROPN
ajis02-1180	37	6	et	et	PROPN
ajis02-1180	37	7	al	al	PROPN
ajis02-1180	37	8	.	.	PROPN
ajis02-1180	38	1	(	(	PUNCT
ajis02-1180	38	2	2010	2010	NUM
ajis02-1180	38	3	)	)	PUNCT
ajis02-1180	38	4	,	,	PUNCT
ajis02-1180	38	5	matharage	matharage	NOUN
ajis02-1180	38	6	et	et	PROPN
ajis02-1180	38	7	al	al	PROPN
ajis02-1180	38	8	.	.	PROPN
ajis02-1180	39	1	(	(	PUNCT
ajis02-1180	39	2	2011	2011	NUM
ajis02-1180	39	3	)	)	PUNCT
ajis02-1180	39	4	,	,	PUNCT
ajis02-1180	39	5	and	and	CCONJ
ajis02-1180	39	6	gunasinghe	gunasinghe	VERB
ajis02-1180	39	7	et	et	PROPN
ajis02-1180	39	8	al	al	PROPN
ajis02-1180	39	9	.	.	PUNCT
ajis02-1180	40	1	(	(	PUNCT
ajis02-1180	40	2	2012	2012	NUM
ajis02-1180	40	3	)	)	PUNCT
ajis02-1180	40	4	.	.	PUNCT
ajis02-1180	41	1	in	in	ADP
ajis02-1180	41	2	this	this	DET
ajis02-1180	41	3	paper	paper	NOUN
ajis02-1180	41	4	a	a	DET
ajis02-1180	41	5	new	new	ADJ
ajis02-1180	41	6	methodology	methodology	NOUN
ajis02-1180	41	7	is	be	AUX
ajis02-1180	41	8	proposed	propose	VERB
ajis02-1180	41	9	utilizing	utilize	VERB
ajis02-1180	41	10	the	the	DET
ajis02-1180	41	11	unique	unique	ADJ
ajis02-1180	41	12	feature	feature	NOUN
ajis02-1180	41	13	of	of	ADP
ajis02-1180	41	14	the	the	DET
ajis02-1180	41	15	gsom	gsom	PROPN
ajis02-1180	41	16	algorithm	algorithm	NOUN
ajis02-1180	41	17	to	to	PART
ajis02-1180	41	18	analyse	analyse	VERB
ajis02-1180	41	19	a	a	DET
ajis02-1180	41	20	document	document	NOUN
ajis02-1180	41	21	set	set	VERB
ajis02-1180	41	22	with	with	ADP
ajis02-1180	41	23	the	the	DET
ajis02-1180	41	24	possibility	possibility	NOUN
ajis02-1180	41	25	of	of	ADP
ajis02-1180	41	26	obtaining	obtain	VERB
ajis02-1180	41	27	clusters	cluster	NOUN
ajis02-1180	41	28	with	with	ADP
ajis02-1180	41	29	low	low	ADJ
ajis02-1180	41	30	term	term	NOUN
ajis02-1180	41	31	overlap	overlap	NOUN
ajis02-1180	41	32	using	use	VERB
ajis02-1180	41	33	hierarchical	hierarchical	ADJ
ajis02-1180	41	34	clustering	clustering	NOUN
ajis02-1180	41	35	.	.	PUNCT
ajis02-1180	42	1	the	the	DET
ajis02-1180	42	2	rest	rest	NOUN
ajis02-1180	42	3	of	of	ADP
ajis02-1180	42	4	the	the	DET
ajis02-1180	42	5	paper	paper	NOUN
ajis02-1180	42	6	is	be	AUX
ajis02-1180	42	7	organized	organize	VERB
ajis02-1180	42	8	as	as	SCONJ
ajis02-1180	42	9	follows	follow	VERB
ajis02-1180	42	10	.	.	PUNCT
ajis02-1180	43	1	section	section	NOUN
ajis02-1180	43	2	2	2	NUM
ajis02-1180	43	3	provides	provide	VERB
ajis02-1180	43	4	a	a	DET
ajis02-1180	43	5	detailed	detailed	ADJ
ajis02-1180	43	6	explanation	explanation	NOUN
ajis02-1180	43	7	on	on	ADP
ajis02-1180	43	8	hierarchical	hierarchical	ADJ
ajis02-1180	43	9	clustering	clustering	NOUN
ajis02-1180	43	10	as	as	ADP
ajis02-1180	43	11	a	a	DET
ajis02-1180	43	12	term	term	NOUN
ajis02-1180	43	13	overlap	overlap	NOUN
ajis02-1180	43	14	detection	detection	NOUN
ajis02-1180	43	15	technique	technique	NOUN
ajis02-1180	43	16	.	.	PUNCT
ajis02-1180	44	1	section	section	NOUN
ajis02-1180	44	2	3	3	NUM
ajis02-1180	44	3	describes	describe	VERB
ajis02-1180	44	4	the	the	DET
ajis02-1180	44	5	proposed	propose	VERB
ajis02-1180	44	6	methodology	methodology	NOUN
ajis02-1180	44	7	.	.	PUNCT
ajis02-1180	45	1	section	section	NOUN
ajis02-1180	45	2	4	4	NUM
ajis02-1180	45	3	provides	provide	VERB
ajis02-1180	45	4	the	the	DET
ajis02-1180	45	5	experimental	experimental	ADJ
ajis02-1180	45	6	results	result	NOUN
ajis02-1180	45	7	and	and	CCONJ
ajis02-1180	45	8	the	the	DET
ajis02-1180	45	9	section	section	NOUN
ajis02-1180	45	10	5	5	NUM
ajis02-1180	45	11	conclude	conclude	VERB
ajis02-1180	45	12	the	the	DET
ajis02-1180	45	13	paper	paper	NOUN
ajis02-1180	45	14	.	.	PUNCT
ajis02-1180	46	1	2	2	NUM
ajis02-1180	46	2	hierarchical	hierarchical	ADJ
ajis02-1180	46	3	clustering	clustering	NOUN
ajis02-1180	46	4	as	as	ADP
ajis02-1180	46	5	a	a	DET
ajis02-1180	46	6	term	term	NOUN
ajis02-1180	46	7	overlap	overlap	NOUN
ajis02-1180	46	8	detection	detection	NOUN
ajis02-1180	46	9	technique	technique	NOUN
ajis02-1180	46	10	2.1	2.1	NUM
ajis02-1180	46	11	hierarchical	hierarchical	ADJ
ajis02-1180	46	12	clustering	clustering	NOUN
ajis02-1180	46	13	of	of	ADP
ajis02-1180	46	14	text	text	NOUN
ajis02-1180	46	15	hierarchies	hierarchy	NOUN
ajis02-1180	46	16	are	be	AUX
ajis02-1180	46	17	a	a	DET
ajis02-1180	46	18	commonly	commonly	ADV
ajis02-1180	46	19	used	use	VERB
ajis02-1180	46	20	data	data	NOUN
ajis02-1180	46	21	structure	structure	NOUN
ajis02-1180	46	22	in	in	ADP
ajis02-1180	46	23	data	data	NOUN
ajis02-1180	46	24	mining	mining	NOUN
ajis02-1180	46	25	and	and	CCONJ
ajis02-1180	46	26	knowledge	knowledge	NOUN
ajis02-1180	46	27	discovery	discovery	PROPN
ajis02-1180	46	28	(	(	PUNCT
ajis02-1180	46	29	schkolnick	schkolnick	NOUN
ajis02-1180	46	30	1977	1977	NUM
ajis02-1180	46	31	)	)	PUNCT
ajis02-1180	46	32	.	.	PUNCT
ajis02-1180	47	1	hierarchical	hierarchical	ADJ
ajis02-1180	47	2	structure	structure	NOUN
ajis02-1180	47	3	facilitates	facilitate	VERB
ajis02-1180	47	4	visualizations	visualization	NOUN
ajis02-1180	47	5	of	of	ADP
ajis02-1180	47	6	data	datum	NOUN
ajis02-1180	47	7	in	in	ADP
ajis02-1180	47	8	different	different	ADJ
ajis02-1180	47	9	granularity	granularity	NOUN
ajis02-1180	47	10	levels	level	NOUN
ajis02-1180	47	11	which	which	PRON
ajis02-1180	47	12	let	let	VERB
ajis02-1180	47	13	the	the	DET
ajis02-1180	47	14	data	data	NOUN
ajis02-1180	47	15	analyst	analyst	NOUN
ajis02-1180	47	16	to	to	PART
ajis02-1180	47	17	obtain	obtain	VERB
ajis02-1180	47	18	more	more	ADV
ajis02-1180	47	19	detailed	detailed	ADJ
ajis02-1180	47	20	relationships	relationship	NOUN
ajis02-1180	47	21	by	by	ADP
ajis02-1180	47	22	initially	initially	ADV
ajis02-1180	47	23	exploring	explore	VERB
ajis02-1180	47	24	the	the	DET
ajis02-1180	47	25	abstract	abstract	ADJ
ajis02-1180	47	26	relationships	relationship	NOUN
ajis02-1180	47	27	.	.	PUNCT
ajis02-1180	48	1	some	some	PRON
ajis02-1180	48	2	of	of	ADP
ajis02-1180	48	3	the	the	DET
ajis02-1180	48	4	previous	previous	ADJ
ajis02-1180	48	5	research	research	NOUN
ajis02-1180	48	6	work	work	NOUN
ajis02-1180	48	7	have	have	AUX
ajis02-1180	48	8	revealed	reveal	VERB
ajis02-1180	48	9	that	that	SCONJ
ajis02-1180	48	10	documents	document	NOUN
ajis02-1180	48	11	in	in	ADP
ajis02-1180	48	12	a	a	DET
ajis02-1180	48	13	collection	collection	NOUN
ajis02-1180	48	14	naturally	naturally	ADV
ajis02-1180	48	15	lead	lead	VERB
ajis02-1180	48	16	themselves	themselves	PRON
ajis02-1180	48	17	to	to	ADP
ajis02-1180	48	18	a	a	DET
ajis02-1180	48	19	hierarchical	hierarchical	ADJ
ajis02-1180	48	20	structure	structure	NOUN
ajis02-1180	48	21	which	which	PRON
ajis02-1180	48	22	makes	make	VERB
ajis02-1180	48	23	it	it	PRON
ajis02-1180	48	24	a	a	DET
ajis02-1180	48	25	suitable	suitable	ADJ
ajis02-1180	48	26	data	data	NOUN
ajis02-1180	48	27	structure	structure	NOUN
ajis02-1180	48	28	to	to	PART
ajis02-1180	48	29	analyse	analyse	VERB
ajis02-1180	48	30	textual	textual	ADJ
ajis02-1180	48	31	data	datum	NOUN
ajis02-1180	48	32	(	(	PUNCT
ajis02-1180	48	33	merkl	merkl	NOUN
ajis02-1180	48	34	1998	1998	NUM
ajis02-1180	48	35	)	)	PUNCT
ajis02-1180	48	36	.	.	PUNCT
ajis02-1180	49	1	s56	s56	NOUN
ajis02-1180	49	2	australasian	australasian	ADJ
ajis02-1180	49	3	journal	journal	NOUN
ajis02-1180	49	4	of	of	ADP
ajis02-1180	49	5	information	information	NOUN
ajis02-1180	49	6	systems	system	NOUN
ajis02-1180	49	7	nathawitharana	nathawitharana	PROPN
ajis02-1180	49	8	,	,	PUNCT
ajis02-1180	49	9	alahakoon	alahakoon	PROPN
ajis02-1180	49	10	&	&	CCONJ
ajis02-1180	49	11	matharage	matharage	NOUN
ajis02-1180	49	12	2015	2015	NUM
ajis02-1180	49	13	,	,	PUNCT
ajis02-1180	49	14	vol	vol	NOUN
ajis02-1180	49	15	.	.	PROPN
ajis02-1180	49	16	19	19	NUM
ajis02-1180	49	17	,	,	PUNCT
ajis02-1180	49	18	pp	pp	PROPN
ajis02-1180	49	19	.	.	PUNCT
ajis02-1180	50	1	s55	s55	PROPN
ajis02-1180	50	2	-	-	PUNCT
ajis02-1180	50	3	s75	s75	NOUN
ajis02-1180	50	4	improving	improve	VERB
ajis02-1180	50	5	decision	decision	NOUN
ajis02-1180	50	6	value	value	NOUN
ajis02-1180	50	7	of	of	ADP
ajis02-1180	50	8	hierarchical	hierarchical	ADJ
ajis02-1180	50	9	text	text	NOUN
ajis02-1180	50	10	2.2	2.2	NUM
ajis02-1180	50	11	the	the	DET
ajis02-1180	50	12	som	som	NOUN
ajis02-1180	50	13	and	and	CCONJ
ajis02-1180	50	14	the	the	DET
ajis02-1180	50	15	gsom	gsom	PROPN
ajis02-1180	50	16	algorithms	algorithm	VERB
ajis02-1180	50	17	the	the	DET
ajis02-1180	50	18	self	self	NOUN
ajis02-1180	50	19	-	-	PUNCT
ajis02-1180	50	20	organizing	organize	VERB
ajis02-1180	50	21	map	map	NOUN
ajis02-1180	50	22	(	(	PUNCT
ajis02-1180	50	23	som	som	NOUN
ajis02-1180	50	24	)	)	PUNCT
ajis02-1180	50	25	algorithm	algorithm	NOUN
ajis02-1180	50	26	was	be	AUX
ajis02-1180	50	27	introduced	introduce	VERB
ajis02-1180	50	28	by	by	ADP
ajis02-1180	50	29	kohonen	kohonen	PROPN
ajis02-1180	50	30	(	(	PUNCT
ajis02-1180	50	31	1982	1982	NUM
ajis02-1180	50	32	)	)	PUNCT
ajis02-1180	50	33	and	and	CCONJ
ajis02-1180	50	34	is	be	AUX
ajis02-1180	50	35	capable	capable	ADJ
ajis02-1180	50	36	in	in	ADP
ajis02-1180	50	37	mapping	map	VERB
ajis02-1180	50	38	high	high	ADJ
ajis02-1180	50	39	dimensional	dimensional	ADJ
ajis02-1180	50	40	data	datum	NOUN
ajis02-1180	50	41	distribution	distribution	NOUN
ajis02-1180	50	42	to	to	ADP
ajis02-1180	50	43	a	a	DET
ajis02-1180	50	44	lower	low	ADJ
ajis02-1180	50	45	dimensional	dimensional	ADJ
ajis02-1180	50	46	output	output	NOUN
ajis02-1180	50	47	,	,	PUNCT
ajis02-1180	50	48	mostly	mostly	ADV
ajis02-1180	50	49	to	to	ADP
ajis02-1180	50	50	a	a	DET
ajis02-1180	50	51	two	two	NUM
ajis02-1180	50	52	dimensional	dimensional	ADJ
ajis02-1180	50	53	output	output	NOUN
ajis02-1180	50	54	space	space	NOUN
ajis02-1180	50	55	.	.	PUNCT
ajis02-1180	51	1	since	since	SCONJ
ajis02-1180	51	2	the	the	DET
ajis02-1180	51	3	som	som	NOUN
ajis02-1180	51	4	algorithm	algorithm	NOUN
ajis02-1180	51	5	is	be	AUX
ajis02-1180	51	6	capable	capable	ADJ
ajis02-1180	51	7	in	in	ADP
ajis02-1180	51	8	visualizing	visualize	VERB
ajis02-1180	51	9	patterns	pattern	NOUN
ajis02-1180	51	10	in	in	ADP
ajis02-1180	51	11	input	input	NOUN
ajis02-1180	51	12	data	datum	NOUN
ajis02-1180	51	13	it	it	PRON
ajis02-1180	51	14	is	be	AUX
ajis02-1180	51	15	widely	widely	ADV
ajis02-1180	51	16	used	use	VERB
ajis02-1180	51	17	as	as	ADP
ajis02-1180	51	18	a	a	DET
ajis02-1180	51	19	clustering	clustering	ADJ
ajis02-1180	51	20	technique	technique	NOUN
ajis02-1180	51	21	.	.	PUNCT
ajis02-1180	52	1	some	some	PRON
ajis02-1180	52	2	of	of	ADP
ajis02-1180	52	3	the	the	DET
ajis02-1180	52	4	application	application	NOUN
ajis02-1180	52	5	of	of	ADP
ajis02-1180	52	6	the	the	DET
ajis02-1180	52	7	som	som	NOUN
ajis02-1180	52	8	algorithm	algorithm	NOUN
ajis02-1180	52	9	for	for	ADP
ajis02-1180	52	10	text	text	NOUN
ajis02-1180	52	11	clustering	clustering	NOUN
ajis02-1180	52	12	can	can	AUX
ajis02-1180	52	13	be	be	AUX
ajis02-1180	52	14	found	find	VERB
ajis02-1180	52	15	in	in	ADP
ajis02-1180	52	16	kaski	kaski	PROPN
ajis02-1180	52	17	et	et	PROPN
ajis02-1180	52	18	al	al	PROPN
ajis02-1180	52	19	.	.	PUNCT
ajis02-1180	53	1	(	(	PUNCT
ajis02-1180	53	2	1998	1998	NUM
ajis02-1180	53	3	)	)	PUNCT
ajis02-1180	53	4	,	,	PUNCT
ajis02-1180	53	5	merkl	merkl	NOUN
ajis02-1180	53	6	and	and	CCONJ
ajis02-1180	53	7	rauber	rauber	PROPN
ajis02-1180	53	8	(	(	PUNCT
ajis02-1180	53	9	1999	1999	NUM
ajis02-1180	53	10	)	)	PUNCT
ajis02-1180	53	11	,	,	PUNCT
ajis02-1180	53	12	and	and	CCONJ
ajis02-1180	53	13	kohonen	kohonen	PROPN
ajis02-1180	53	14	et	et	PROPN
ajis02-1180	53	15	al	al	PROPN
ajis02-1180	53	16	.	.	PROPN
ajis02-1180	54	1	(	(	PUNCT
ajis02-1180	54	2	2000	2000	NUM
ajis02-1180	54	3	)	)	PUNCT
ajis02-1180	54	4	.	.	PUNCT
ajis02-1180	55	1	however	however	ADV
ajis02-1180	55	2	there	there	PRON
ajis02-1180	55	3	are	be	VERB
ajis02-1180	55	4	certain	certain	ADJ
ajis02-1180	55	5	limitations	limitation	NOUN
ajis02-1180	55	6	associated	associate	VERB
ajis02-1180	55	7	with	with	ADP
ajis02-1180	55	8	the	the	DET
ajis02-1180	55	9	som	som	NOUN
ajis02-1180	55	10	algorithm	algorithm	NOUN
ajis02-1180	55	11	and	and	CCONJ
ajis02-1180	55	12	the	the	DET
ajis02-1180	55	13	main	main	ADJ
ajis02-1180	55	14	limitation	limitation	NOUN
ajis02-1180	55	15	is	be	AUX
ajis02-1180	55	16	size	size	NOUN
ajis02-1180	55	17	of	of	ADP
ajis02-1180	55	18	the	the	DET
ajis02-1180	55	19	output	output	NOUN
ajis02-1180	55	20	network	network	NOUN
ajis02-1180	55	21	need	need	VERB
ajis02-1180	55	22	to	to	PART
ajis02-1180	55	23	be	be	AUX
ajis02-1180	55	24	predefined	predefine	VERB
ajis02-1180	55	25	.	.	PUNCT
ajis02-1180	56	1	when	when	SCONJ
ajis02-1180	56	2	clustering	cluster	VERB
ajis02-1180	56	3	a	a	DET
ajis02-1180	56	4	dataset	dataset	NOUN
ajis02-1180	56	5	,	,	PUNCT
ajis02-1180	56	6	output	output	NOUN
ajis02-1180	56	7	map	map	NOUN
ajis02-1180	56	8	size	size	NOUN
ajis02-1180	56	9	can	can	AUX
ajis02-1180	56	10	not	not	PART
ajis02-1180	56	11	be	be	AUX
ajis02-1180	56	12	defined	define	VERB
ajis02-1180	56	13	correctly	correctly	ADV
ajis02-1180	56	14	prior	prior	ADV
ajis02-1180	56	15	to	to	ADP
ajis02-1180	56	16	the	the	DET
ajis02-1180	56	17	clustering	clustering	NOUN
ajis02-1180	56	18	as	as	SCONJ
ajis02-1180	56	19	there	there	PRON
ajis02-1180	56	20	is	be	VERB
ajis02-1180	56	21	no	no	DET
ajis02-1180	56	22	knowledge	knowledge	NOUN
ajis02-1180	56	23	about	about	ADP
ajis02-1180	56	24	the	the	DET
ajis02-1180	56	25	inputting	inputte	VERB
ajis02-1180	56	26	data	datum	NOUN
ajis02-1180	56	27	.	.	PUNCT
ajis02-1180	57	1	in	in	ADP
ajis02-1180	57	2	that	that	DET
ajis02-1180	57	3	case	case	NOUN
ajis02-1180	57	4	there	there	PRON
ajis02-1180	57	5	might	might	AUX
ajis02-1180	57	6	be	be	AUX
ajis02-1180	57	7	a	a	DET
ajis02-1180	57	8	need	need	NOUN
ajis02-1180	57	9	of	of	ADP
ajis02-1180	57	10	running	run	VERB
ajis02-1180	57	11	the	the	DET
ajis02-1180	57	12	som	som	NOUN
ajis02-1180	57	13	algorithm	algorithm	NOUN
ajis02-1180	57	14	for	for	ADP
ajis02-1180	57	15	different	different	ADJ
ajis02-1180	57	16	map	map	NOUN
ajis02-1180	57	17	sizes	size	NOUN
ajis02-1180	57	18	and	and	CCONJ
ajis02-1180	57	19	select	select	VERB
ajis02-1180	57	20	an	an	DET
ajis02-1180	57	21	appropriate	appropriate	ADJ
ajis02-1180	57	22	map	map	NOUN
ajis02-1180	57	23	size	size	NOUN
ajis02-1180	57	24	.	.	PUNCT
ajis02-1180	58	1	some	some	PRON
ajis02-1180	58	2	of	of	ADP
ajis02-1180	58	3	the	the	DET
ajis02-1180	58	4	other	other	ADJ
ajis02-1180	58	5	limitations	limitation	NOUN
ajis02-1180	58	6	include	include	VERB
ajis02-1180	58	7	lack	lack	NOUN
ajis02-1180	58	8	of	of	ADP
ajis02-1180	58	9	hierarchical	hierarchical	ADJ
ajis02-1180	58	10	clustering	clustering	ADJ
ajis02-1180	58	11	capabilities	capability	NOUN
ajis02-1180	58	12	and	and	CCONJ
ajis02-1180	58	13	possibility	possibility	NOUN
ajis02-1180	58	14	of	of	ADP
ajis02-1180	58	15	learning	learn	VERB
ajis02-1180	58	16	only	only	ADV
ajis02-1180	58	17	from	from	ADP
ajis02-1180	58	18	stationary	stationary	ADJ
ajis02-1180	58	19	data	datum	NOUN
ajis02-1180	58	20	.	.	PUNCT
ajis02-1180	59	1	the	the	DET
ajis02-1180	59	2	growing	grow	VERB
ajis02-1180	59	3	self	self	NOUN
ajis02-1180	59	4	-	-	PUNCT
ajis02-1180	59	5	organizing	organize	VERB
ajis02-1180	59	6	map	map	NOUN
ajis02-1180	59	7	(	(	PUNCT
ajis02-1180	59	8	gsom	gsom	NOUN
ajis02-1180	59	9	)	)	PUNCT
ajis02-1180	59	10	algorithm	algorithm	NOUN
ajis02-1180	59	11	(	(	PUNCT
ajis02-1180	59	12	alahakoon	alahakoon	PROPN
ajis02-1180	59	13	et	et	PROPN
ajis02-1180	59	14	al	al	PROPN
ajis02-1180	59	15	.	.	PROPN
ajis02-1180	59	16	2000	2000	NUM
ajis02-1180	59	17	)	)	PUNCT
ajis02-1180	59	18	which	which	PRON
ajis02-1180	59	19	has	have	VERB
ajis02-1180	59	20	the	the	DET
ajis02-1180	59	21	ability	ability	NOUN
ajis02-1180	59	22	to	to	PART
ajis02-1180	59	23	grow	grow	VERB
ajis02-1180	59	24	dynamically	dynamically	ADV
ajis02-1180	59	25	has	have	AUX
ajis02-1180	59	26	overcome	overcome	VERB
ajis02-1180	59	27	the	the	DET
ajis02-1180	59	28	predefined	predefine	VERB
ajis02-1180	59	29	map	map	NOUN
ajis02-1180	59	30	size	size	NOUN
ajis02-1180	59	31	limitation	limitation	NOUN
ajis02-1180	59	32	in	in	ADP
ajis02-1180	59	33	the	the	DET
ajis02-1180	59	34	som	som	NOUN
ajis02-1180	59	35	.	.	PUNCT
ajis02-1180	60	1	similar	similar	ADJ
ajis02-1180	60	2	to	to	ADP
ajis02-1180	60	3	most	most	ADJ
ajis02-1180	60	4	of	of	ADP
ajis02-1180	60	5	the	the	DET
ajis02-1180	60	6	som	som	NOUN
ajis02-1180	60	7	based	base	VERB
ajis02-1180	60	8	algorithms	algorithm	NOUN
ajis02-1180	60	9	,	,	PUNCT
ajis02-1180	60	10	the	the	DET
ajis02-1180	60	11	gsom	gsom	PROPN
ajis02-1180	60	12	also	also	ADV
ajis02-1180	60	13	consists	consist	VERB
ajis02-1180	60	14	with	with	ADP
ajis02-1180	60	15	two	two	NUM
ajis02-1180	60	16	activation	activation	NOUN
ajis02-1180	60	17	modes	mode	NOUN
ajis02-1180	60	18	namely	namely	ADV
ajis02-1180	60	19	training	train	VERB
ajis02-1180	60	20	mode	mode	NOUN
ajis02-1180	60	21	and	and	CCONJ
ajis02-1180	60	22	testing	testing	NOUN
ajis02-1180	60	23	mode	mode	NOUN
ajis02-1180	60	24	.	.	PUNCT
ajis02-1180	61	1	actual	actual	ADJ
ajis02-1180	61	2	network	network	NOUN
ajis02-1180	61	3	growth	growth	NOUN
ajis02-1180	61	4	and	and	CCONJ
ajis02-1180	61	5	smoothing	smooth	VERB
ajis02-1180	61	6	out	out	ADP
ajis02-1180	61	7	of	of	ADP
ajis02-1180	61	8	weights	weight	NOUN
ajis02-1180	61	9	occur	occur	VERB
ajis02-1180	61	10	in	in	ADP
ajis02-1180	61	11	training	training	NOUN
ajis02-1180	61	12	mode	mode	NOUN
ajis02-1180	61	13	,	,	PUNCT
ajis02-1180	61	14	while	while	SCONJ
ajis02-1180	61	15	the	the	DET
ajis02-1180	61	16	final	final	ADJ
ajis02-1180	61	17	calibration	calibration	NOUN
ajis02-1180	61	18	of	of	ADP
ajis02-1180	61	19	the	the	DET
ajis02-1180	61	20	network	network	NOUN
ajis02-1180	61	21	for	for	ADP
ajis02-1180	61	22	known	know	VERB
ajis02-1180	61	23	inputs	input	NOUN
ajis02-1180	61	24	take	take	VERB
ajis02-1180	61	25	place	place	NOUN
ajis02-1180	61	26	in	in	ADP
ajis02-1180	61	27	the	the	DET
ajis02-1180	61	28	testing	testing	NOUN
ajis02-1180	61	29	mode	mode	NOUN
ajis02-1180	61	30	.	.	PUNCT
ajis02-1180	62	1	several	several	ADJ
ajis02-1180	62	2	key	key	ADJ
ajis02-1180	62	3	characteristics	characteristic	NOUN
ajis02-1180	62	4	and	and	CCONJ
ajis02-1180	62	5	advantages	advantage	NOUN
ajis02-1180	62	6	of	of	ADP
ajis02-1180	62	7	the	the	DET
ajis02-1180	62	8	gsom	gsom	PROPN
ajis02-1180	62	9	algorithm	algorithm	NOUN
ajis02-1180	62	10	include	include	VERB
ajis02-1180	62	11	structurally	structurally	ADV
ajis02-1180	62	12	unconstrained	unconstrained	ADJ
ajis02-1180	62	13	learning	learning	NOUN
ajis02-1180	62	14	,	,	PUNCT
ajis02-1180	62	15	exploratory	exploratory	ADJ
ajis02-1180	62	16	dynamics	dynamic	NOUN
ajis02-1180	62	17	,	,	PUNCT
ajis02-1180	62	18	efficient	efficient	ADJ
ajis02-1180	62	19	computing	computing	NOUN
ajis02-1180	62	20	,	,	PUNCT
ajis02-1180	62	21	and	and	CCONJ
ajis02-1180	62	22	visualization	visualization	NOUN
ajis02-1180	62	23	(	(	PUNCT
ajis02-1180	62	24	matharage	matharage	NOUN
ajis02-1180	62	25	2012	2012	NUM
ajis02-1180	62	26	)	)	PUNCT
ajis02-1180	62	27	which	which	PRON
ajis02-1180	62	28	makes	make	VERB
ajis02-1180	62	29	it	it	PRON
ajis02-1180	62	30	a	a	DET
ajis02-1180	62	31	highly	highly	ADV
ajis02-1180	62	32	suitable	suitable	ADJ
ajis02-1180	62	33	algorithm	algorithm	NOUN
ajis02-1180	62	34	for	for	ADP
ajis02-1180	62	35	text	text	NOUN
ajis02-1180	62	36	clustering	clustering	NOUN
ajis02-1180	62	37	.	.	PUNCT
ajis02-1180	63	1	matharage	matharage	NOUN
ajis02-1180	63	2	(	(	PUNCT
ajis02-1180	63	3	2012	2012	NUM
ajis02-1180	63	4	)	)	PUNCT
ajis02-1180	63	5	has	have	AUX
ajis02-1180	63	6	investigated	investigate	VERB
ajis02-1180	63	7	the	the	DET
ajis02-1180	63	8	usability	usability	NOUN
ajis02-1180	63	9	of	of	ADP
ajis02-1180	63	10	the	the	DET
ajis02-1180	63	11	gsom	gsom	PROPN
ajis02-1180	63	12	algorithm	algorithm	NOUN
ajis02-1180	63	13	as	as	ADP
ajis02-1180	63	14	a	a	DET
ajis02-1180	63	15	text	text	NOUN
ajis02-1180	63	16	clustering	cluster	VERB
ajis02-1180	63	17	algorithm	algorithm	NOUN
ajis02-1180	63	18	and	and	CCONJ
ajis02-1180	63	19	concluded	conclude	VERB
ajis02-1180	63	20	that	that	SCONJ
ajis02-1180	63	21	when	when	SCONJ
ajis02-1180	63	22	compared	compare	VERB
ajis02-1180	63	23	to	to	ADP
ajis02-1180	63	24	the	the	DET
ajis02-1180	63	25	som	som	NOUN
ajis02-1180	63	26	algorithm	algorithm	NOUN
ajis02-1180	63	27	,	,	PUNCT
ajis02-1180	63	28	the	the	DET
ajis02-1180	63	29	gsom	gsom	PROPN
ajis02-1180	63	30	algorithm	algorithm	NOUN
ajis02-1180	63	31	is	be	AUX
ajis02-1180	63	32	more	more	ADV
ajis02-1180	63	33	efficient	efficient	ADJ
ajis02-1180	63	34	,	,	PUNCT
ajis02-1180	63	35	more	more	ADV
ajis02-1180	63	36	accurate	accurate	ADJ
ajis02-1180	63	37	and	and	CCONJ
ajis02-1180	63	38	has	have	VERB
ajis02-1180	63	39	better	well	ADJ
ajis02-1180	63	40	topology	topology	NOUN
ajis02-1180	63	41	preservation	preservation	NOUN
ajis02-1180	63	42	capabilities	capability	NOUN
ajis02-1180	63	43	.	.	PUNCT
ajis02-1180	64	1	the	the	DET
ajis02-1180	64	2	details	detail	NOUN
ajis02-1180	64	3	of	of	ADP
ajis02-1180	64	4	the	the	DET
ajis02-1180	64	5	gsom	gsom	PROPN
ajis02-1180	64	6	algorithm	algorithm	NOUN
ajis02-1180	64	7	is	be	AUX
ajis02-1180	64	8	provided	provide	VERB
ajis02-1180	64	9	in	in	ADP
ajis02-1180	64	10	alahakoon	alahakoon	NOUN
ajis02-1180	64	11	et	et	PROPN
ajis02-1180	64	12	al	al	PROPN
ajis02-1180	64	13	.	.	PUNCT
ajis02-1180	65	1	(	(	PUNCT
ajis02-1180	65	2	2000	2000	NUM
ajis02-1180	65	3	)	)	PUNCT
ajis02-1180	65	4	.	.	PUNCT
ajis02-1180	66	1	2.3	2.3	NUM
ajis02-1180	66	2	the	the	DET
ajis02-1180	66	3	gsom	gsom	NOUN
ajis02-1180	66	4	with	with	ADP
ajis02-1180	66	5	spread	spread	ADJ
ajis02-1180	66	6	factor	factor	NOUN
ajis02-1180	66	7	(	(	PUNCT
ajis02-1180	66	8	sf	sf	PROPN
ajis02-1180	66	9	)	)	PUNCT
ajis02-1180	66	10	for	for	ADP
ajis02-1180	66	11	hierarchical	hierarchical	ADJ
ajis02-1180	66	12	text	text	NOUN
ajis02-1180	66	13	clustering	cluster	VERB
ajis02-1180	66	14	2.3.1	2.3.1	NUM
ajis02-1180	66	15	the	the	DET
ajis02-1180	66	16	gsom	gsom	NOUN
ajis02-1180	66	17	with	with	ADP
ajis02-1180	66	18	spread	spread	ADJ
ajis02-1180	66	19	factor	factor	NOUN
ajis02-1180	66	20	(	(	PUNCT
ajis02-1180	66	21	sf	sf	PROPN
ajis02-1180	66	22	)	)	PUNCT
ajis02-1180	66	23	in	in	ADP
ajis02-1180	66	24	the	the	DET
ajis02-1180	66	25	gsom	gsom	NOUN
ajis02-1180	66	26	,	,	PUNCT
ajis02-1180	66	27	hierarchical	hierarchical	ADJ
ajis02-1180	66	28	clustering	clustering	NOUN
ajis02-1180	66	29	is	be	AUX
ajis02-1180	66	30	facilitated	facilitate	VERB
ajis02-1180	66	31	by	by	ADP
ajis02-1180	66	32	the	the	DET
ajis02-1180	66	33	parameter	parameter	NOUN
ajis02-1180	66	34	spread	spread	NOUN
ajis02-1180	66	35	factor	factor	NOUN
ajis02-1180	66	36	(	(	PUNCT
ajis02-1180	66	37	sf	sf	PROPN
ajis02-1180	66	38	)	)	PUNCT
ajis02-1180	66	39	which	which	PRON
ajis02-1180	66	40	controls	control	VERB
ajis02-1180	66	41	the	the	DET
ajis02-1180	66	42	growth	growth	NOUN
ajis02-1180	66	43	of	of	ADP
ajis02-1180	66	44	the	the	DET
ajis02-1180	66	45	network	network	NOUN
ajis02-1180	66	46	.	.	PUNCT
ajis02-1180	67	1	when	when	SCONJ
ajis02-1180	67	2	a	a	DET
ajis02-1180	67	3	low	low	ADJ
ajis02-1180	67	4	sf	sf	NOUN
ajis02-1180	67	5	value	value	NOUN
ajis02-1180	67	6	is	be	AUX
ajis02-1180	67	7	used	use	VERB
ajis02-1180	67	8	,	,	PUNCT
ajis02-1180	67	9	the	the	DET
ajis02-1180	67	10	gsom	gsom	PROPN
ajis02-1180	67	11	output	output	NOUN
ajis02-1180	67	12	becomes	become	VERB
ajis02-1180	67	13	a	a	DET
ajis02-1180	67	14	more	more	ADV
ajis02-1180	67	15	abstract	abstract	ADJ
ajis02-1180	67	16	map	map	NOUN
ajis02-1180	67	17	whereas	whereas	SCONJ
ajis02-1180	67	18	more	more	ADV
ajis02-1180	67	19	detailed	detailed	ADJ
ajis02-1180	67	20	map	map	NOUN
ajis02-1180	67	21	is	be	AUX
ajis02-1180	67	22	given	give	VERB
ajis02-1180	67	23	when	when	SCONJ
ajis02-1180	67	24	a	a	DET
ajis02-1180	67	25	high	high	ADJ
ajis02-1180	67	26	value	value	NOUN
ajis02-1180	67	27	for	for	ADP
ajis02-1180	67	28	sf	sf	PROPN
ajis02-1180	67	29	is	be	AUX
ajis02-1180	67	30	used	use	VERB
ajis02-1180	67	31	.	.	PUNCT
ajis02-1180	68	1	this	this	DET
ajis02-1180	68	2	characteristic	characteristic	NOUN
ajis02-1180	68	3	of	of	ADP
ajis02-1180	68	4	the	the	DET
ajis02-1180	68	5	gsom	gsom	PROPN
ajis02-1180	68	6	algorithm	algorithm	NOUN
ajis02-1180	68	7	is	be	AUX
ajis02-1180	68	8	very	very	ADV
ajis02-1180	68	9	advantageous	advantageous	ADJ
ajis02-1180	68	10	in	in	ADP
ajis02-1180	68	11	data	datum	NOUN
ajis02-1180	68	12	mining	mining	NOUN
ajis02-1180	68	13	since	since	SCONJ
ajis02-1180	68	14	it	it	PRON
ajis02-1180	68	15	is	be	AUX
ajis02-1180	68	16	possible	possible	ADJ
ajis02-1180	68	17	to	to	PART
ajis02-1180	68	18	obtain	obtain	VERB
ajis02-1180	68	19	an	an	DET
ajis02-1180	68	20	abstract	abstract	ADJ
ajis02-1180	68	21	map	map	NOUN
ajis02-1180	68	22	initially	initially	ADV
ajis02-1180	68	23	and	and	CCONJ
ajis02-1180	68	24	then	then	ADV
ajis02-1180	68	25	further	far	ADV
ajis02-1180	68	26	explore	explore	VERB
ajis02-1180	68	27	the	the	DET
ajis02-1180	68	28	map	map	NOUN
ajis02-1180	68	29	using	use	VERB
ajis02-1180	68	30	a	a	DET
ajis02-1180	68	31	higher	high	ADJ
ajis02-1180	68	32	sf	sf	NOUN
ajis02-1180	68	33	.	.	PUNCT
ajis02-1180	69	1	some	some	PRON
ajis02-1180	69	2	of	of	ADP
ajis02-1180	69	3	the	the	DET
ajis02-1180	69	4	examples	example	NOUN
ajis02-1180	69	5	of	of	ADP
ajis02-1180	69	6	using	use	VERB
ajis02-1180	69	7	hierarchical	hierarchical	ADJ
ajis02-1180	69	8	clustering	clustering	NOUN
ajis02-1180	69	9	facilitated	facilitate	VERB
ajis02-1180	69	10	by	by	ADP
ajis02-1180	69	11	the	the	DET
ajis02-1180	69	12	gsom	gsom	PROPN
ajis02-1180	69	13	includes	include	VERB
ajis02-1180	69	14	alahakoon	alahakoon	NOUN
ajis02-1180	69	15	et	et	PROPN
ajis02-1180	69	16	al	al	PROPN
ajis02-1180	69	17	.	.	PUNCT
ajis02-1180	70	1	(	(	PUNCT
ajis02-1180	70	2	2000	2000	NUM
ajis02-1180	70	3	)	)	PUNCT
ajis02-1180	70	4	for	for	ADP
ajis02-1180	70	5	the	the	DET
ajis02-1180	70	6	zoo	zoo	NOUN
ajis02-1180	70	7	data	datum	NOUN
ajis02-1180	70	8	set	set	NOUN
ajis02-1180	70	9	(	(	PUNCT
ajis02-1180	70	10	bache	bache	NOUN
ajis02-1180	70	11	and	and	CCONJ
ajis02-1180	70	12	lichman	lichman	PROPN
ajis02-1180	70	13	2013	2013	NUM
ajis02-1180	70	14	)	)	PUNCT
ajis02-1180	70	15	and	and	CCONJ
ajis02-1180	70	16	in	in	ADP
ajis02-1180	70	17	haiying	haiye	VERB
ajis02-1180	70	18	et	et	PROPN
ajis02-1180	70	19	al	al	PROPN
ajis02-1180	70	20	.	.	PROPN
ajis02-1180	71	1	(	(	PUNCT
ajis02-1180	71	2	2004	2004	NUM
ajis02-1180	71	3	)	)	PUNCT
ajis02-1180	72	1	for	for	ADP
ajis02-1180	72	2	the	the	DET
ajis02-1180	72	3	sleep	sleep	NOUN
ajis02-1180	72	4	apnea	apnea	NOUN
ajis02-1180	72	5	data	datum	NOUN
ajis02-1180	72	6	set	set	VERB
ajis02-1180	72	7	(	(	PUNCT
ajis02-1180	72	8	goldberger	goldberger	PROPN
ajis02-1180	72	9	et	et	PROPN
ajis02-1180	72	10	al	al	PROPN
ajis02-1180	72	11	.	.	PROPN
ajis02-1180	72	12	2000	2000	NUM
ajis02-1180	72	13	)	)	PUNCT
ajis02-1180	72	14	.	.	PUNCT
ajis02-1180	73	1	2.3.2	2.3.2	NUM
ajis02-1180	73	2	automatic	automatic	ADJ
ajis02-1180	73	3	cluster	cluster	NOUN
ajis02-1180	73	4	identification	identification	NOUN
ajis02-1180	73	5	in	in	ADP
ajis02-1180	73	6	the	the	DET
ajis02-1180	73	7	gsom	gsom	NOUN
ajis02-1180	73	8	in	in	ADP
ajis02-1180	73	9	general	general	ADJ
ajis02-1180	73	10	clusters	cluster	NOUN
ajis02-1180	73	11	in	in	ADP
ajis02-1180	73	12	a	a	DET
ajis02-1180	73	13	gsom	gsom	NOUN
ajis02-1180	73	14	output	output	NOUN
ajis02-1180	73	15	can	can	AUX
ajis02-1180	73	16	be	be	AUX
ajis02-1180	73	17	identified	identify	VERB
ajis02-1180	73	18	by	by	ADP
ajis02-1180	73	19	human	human	ADJ
ajis02-1180	73	20	inspection	inspection	NOUN
ajis02-1180	73	21	.	.	PUNCT
ajis02-1180	74	1	when	when	SCONJ
ajis02-1180	74	2	cluster	cluster	NOUN
ajis02-1180	74	3	identification	identification	NOUN
ajis02-1180	74	4	is	be	AUX
ajis02-1180	74	5	carried	carry	VERB
ajis02-1180	74	6	out	out	ADP
ajis02-1180	74	7	by	by	ADP
ajis02-1180	74	8	humans	human	NOUN
ajis02-1180	74	9	,	,	PUNCT
ajis02-1180	74	10	clusters	cluster	NOUN
ajis02-1180	74	11	are	be	AUX
ajis02-1180	74	12	identified	identify	VERB
ajis02-1180	74	13	as	as	ADP
ajis02-1180	74	14	a	a	DET
ajis02-1180	74	15	group	group	NOUN
ajis02-1180	74	16	of	of	ADP
ajis02-1180	74	17	hit	hit	VERB
ajis02-1180	74	18	nodes	node	NOUN
ajis02-1180	74	19	which	which	PRON
ajis02-1180	74	20	are	be	AUX
ajis02-1180	74	21	separated	separate	VERB
ajis02-1180	74	22	by	by	ADP
ajis02-1180	74	23	dummy	dummy	ADJ
ajis02-1180	74	24	nodes	node	NOUN
ajis02-1180	74	25	or	or	CCONJ
ajis02-1180	74	26	non	non	ADJ
ajis02-1180	74	27	-	-	ADJ
ajis02-1180	74	28	hit	hit	ADJ
ajis02-1180	74	29	nodes	node	NOUN
ajis02-1180	74	30	.	.	PUNCT
ajis02-1180	75	1	when	when	SCONJ
ajis02-1180	75	2	the	the	DET
ajis02-1180	75	3	gsom	gsom	PROPN
ajis02-1180	75	4	output	output	NOUN
ajis02-1180	75	5	is	be	AUX
ajis02-1180	75	6	obtained	obtain	VERB
ajis02-1180	75	7	using	use	VERB
ajis02-1180	75	8	a	a	DET
ajis02-1180	75	9	high	high	ADJ
ajis02-1180	75	10	sf	sf	NOUN
ajis02-1180	75	11	value	value	NOUN
ajis02-1180	75	12	cluster	cluster	NOUN
ajis02-1180	75	13	identification	identification	NOUN
ajis02-1180	75	14	via	via	ADP
ajis02-1180	75	15	visual	visual	ADJ
ajis02-1180	75	16	inspection	inspection	NOUN
ajis02-1180	75	17	becomes	become	VERB
ajis02-1180	75	18	easy	easy	ADJ
ajis02-1180	75	19	as	as	SCONJ
ajis02-1180	75	20	the	the	DET
ajis02-1180	75	21	output	output	NOUN
ajis02-1180	75	22	is	be	AUX
ajis02-1180	75	23	a	a	DET
ajis02-1180	75	24	more	more	ADV
ajis02-1180	75	25	detailed	detailed	ADJ
ajis02-1180	75	26	map	map	NOUN
ajis02-1180	75	27	with	with	ADP
ajis02-1180	75	28	increased	increase	VERB
ajis02-1180	75	29	branching	branch	VERB
ajis02-1180	75	30	out	out	ADP
ajis02-1180	75	31	.	.	PUNCT
ajis02-1180	76	1	if	if	SCONJ
ajis02-1180	76	2	a	a	DET
ajis02-1180	76	3	low	low	ADJ
ajis02-1180	76	4	sf	sf	NOUN
ajis02-1180	76	5	value	value	NOUN
ajis02-1180	76	6	is	be	AUX
ajis02-1180	76	7	used	use	VERB
ajis02-1180	76	8	,	,	PUNCT
ajis02-1180	76	9	the	the	DET
ajis02-1180	76	10	output	output	NOUN
ajis02-1180	76	11	will	will	AUX
ajis02-1180	76	12	be	be	AUX
ajis02-1180	76	13	an	an	DET
ajis02-1180	76	14	abstract	abstract	ADJ
ajis02-1180	76	15	map	map	NOUN
ajis02-1180	76	16	where	where	SCONJ
ajis02-1180	76	17	two	two	NUM
ajis02-1180	76	18	groups	group	NOUN
ajis02-1180	76	19	of	of	ADP
ajis02-1180	76	20	hit	hit	NOUN
ajis02-1180	76	21	nodes	node	NOUN
ajis02-1180	76	22	might	might	AUX
ajis02-1180	76	23	not	not	PART
ajis02-1180	76	24	be	be	AUX
ajis02-1180	76	25	separated	separate	VERB
ajis02-1180	76	26	by	by	ADP
ajis02-1180	76	27	non	non	ADJ
ajis02-1180	76	28	-	-	ADJ
ajis02-1180	76	29	hit	hit	ADJ
ajis02-1180	76	30	nodes	node	NOUN
ajis02-1180	76	31	.	.	PUNCT
ajis02-1180	77	1	in	in	ADP
ajis02-1180	77	2	such	such	ADJ
ajis02-1180	77	3	situation	situation	NOUN
ajis02-1180	77	4	it	it	PRON
ajis02-1180	77	5	might	might	AUX
ajis02-1180	77	6	not	not	PART
ajis02-1180	77	7	be	be	AUX
ajis02-1180	77	8	possible	possible	ADJ
ajis02-1180	77	9	to	to	PART
ajis02-1180	77	10	identify	identify	VERB
ajis02-1180	77	11	clusters	cluster	NOUN
ajis02-1180	77	12	accurately	accurately	ADV
ajis02-1180	77	13	by	by	ADP
ajis02-1180	77	14	human	human	ADJ
ajis02-1180	77	15	inspection	inspection	NOUN
ajis02-1180	77	16	as	as	SCONJ
ajis02-1180	77	17	cluster	cluster	NOUN
ajis02-1180	77	18	boundaries	boundary	NOUN
ajis02-1180	77	19	are	be	AUX
ajis02-1180	77	20	unclear	unclear	ADJ
ajis02-1180	77	21	.	.	PUNCT
ajis02-1180	78	1	ahmad	ahmad	PROPN
ajis02-1180	78	2	et	et	PROPN
ajis02-1180	78	3	al	al	PROPN
ajis02-1180	78	4	.	.	PROPN
ajis02-1180	79	1	(	(	PUNCT
ajis02-1180	79	2	2010	2010	NUM
ajis02-1180	79	3	)	)	PUNCT
ajis02-1180	79	4	emphasises	emphasise	VERB
ajis02-1180	79	5	the	the	DET
ajis02-1180	79	6	requirement	requirement	NOUN
ajis02-1180	79	7	of	of	ADP
ajis02-1180	79	8	having	have	VERB
ajis02-1180	79	9	an	an	DET
ajis02-1180	79	10	automatic	automatic	ADJ
ajis02-1180	79	11	cluster	cluster	NOUN
ajis02-1180	79	12	identification	identification	NOUN
ajis02-1180	79	13	mechanism	mechanism	NOUN
ajis02-1180	79	14	when	when	SCONJ
ajis02-1180	79	15	cluster	cluster	NOUN
ajis02-1180	79	16	boundaries	boundary	NOUN
ajis02-1180	79	17	are	be	AUX
ajis02-1180	79	18	not	not	PART
ajis02-1180	79	19	clear	clear	ADJ
ajis02-1180	79	20	.	.	PUNCT
ajis02-1180	80	1	the	the	DET
ajis02-1180	80	2	k	k	NOUN
ajis02-1180	80	3	-	-	PUNCT
ajis02-1180	80	4	means	mean	NOUN
ajis02-1180	80	5	and	and	CCONJ
ajis02-1180	80	6	davies	davy	NOUN
ajis02-1180	80	7	-	-	PUNCT
ajis02-1180	80	8	bouldin	bouldin	NOUN
ajis02-1180	80	9	(	(	PUNCT
ajis02-1180	80	10	db	db	PROPN
ajis02-1180	80	11	)	)	PUNCT
ajis02-1180	80	12	index	index	NOUN
ajis02-1180	80	13	based	base	VERB
ajis02-1180	80	14	method	method	NOUN
ajis02-1180	80	15	(	(	PUNCT
ajis02-1180	80	16	davies	davy	NOUN
ajis02-1180	80	17	and	and	CCONJ
ajis02-1180	80	18	bouldin	bouldin	NOUN
ajis02-1180	80	19	1979	1979	NUM
ajis02-1180	80	20	)	)	PUNCT
ajis02-1180	80	21	and	and	CCONJ
ajis02-1180	80	22	data	datum	NOUN
ajis02-1180	80	23	skeleton	skeleton	NOUN
ajis02-1180	80	24	model	model	NOUN
ajis02-1180	80	25	(	(	PUNCT
ajis02-1180	80	26	dsm	dsm	PROPN
ajis02-1180	80	27	)	)	PUNCT
ajis02-1180	80	28	based	base	VERB
ajis02-1180	80	29	method	method	NOUN
ajis02-1180	80	30	(	(	PUNCT
ajis02-1180	80	31	alahakoon	alahakoon	NOUN
ajis02-1180	80	32	et	et	PROPN
ajis02-1180	80	33	al	al	PROPN
ajis02-1180	80	34	.	.	PROPN
ajis02-1180	80	35	2001	2001	NUM
ajis02-1180	80	36	)	)	PUNCT
ajis02-1180	80	37	has	have	AUX
ajis02-1180	80	38	been	be	AUX
ajis02-1180	80	39	used	use	VERB
ajis02-1180	80	40	for	for	ADP
ajis02-1180	80	41	the	the	DET
ajis02-1180	80	42	automatic	automatic	ADJ
ajis02-1180	80	43	cluster	cluster	NOUN
ajis02-1180	80	44	identification	identification	NOUN
ajis02-1180	80	45	in	in	ADP
ajis02-1180	80	46	the	the	DET
ajis02-1180	80	47	gsom	gsom	PROPN
ajis02-1180	80	48	outputs	output	NOUN
ajis02-1180	80	49	(	(	PUNCT
ajis02-1180	80	50	ahmad	ahmad	PROPN
ajis02-1180	80	51	et	et	PROPN
ajis02-1180	80	52	al	al	PROPN
ajis02-1180	80	53	.	.	PROPN
ajis02-1180	80	54	2010	2010	NUM
ajis02-1180	80	55	;	;	PUNCT
ajis02-1180	80	56	amarasiri	amarasiri	ADP
ajis02-1180	80	57	et	et	PROPN
ajis02-1180	80	58	al	al	PROPN
ajis02-1180	80	59	.	.	PROPN
ajis02-1180	80	60	2003	2003	NUM
ajis02-1180	80	61	)	)	PUNCT
ajis02-1180	80	62	.	.	PUNCT
ajis02-1180	81	1	when	when	SCONJ
ajis02-1180	81	2	using	use	VERB
ajis02-1180	81	3	the	the	DET
ajis02-1180	81	4	k	k	NOUN
ajis02-1180	81	5	-	-	PUNCT
ajis02-1180	81	6	means	mean	NOUN
ajis02-1180	81	7	and	and	CCONJ
ajis02-1180	81	8	db	db	PROPN
ajis02-1180	81	9	index	index	NOUN
ajis02-1180	81	10	based	base	VERB
ajis02-1180	81	11	method	method	NOUN
ajis02-1180	81	12	,	,	PUNCT
ajis02-1180	81	13	value	value	NOUN
ajis02-1180	81	14	for	for	ADP
ajis02-1180	81	15	k	k	PROPN
ajis02-1180	81	16	needs	need	NOUN
ajis02-1180	81	17	to	to	PART
ajis02-1180	81	18	be	be	AUX
ajis02-1180	81	19	predetermined	predetermine	VERB
ajis02-1180	81	20	and	and	CCONJ
ajis02-1180	81	21	value	value	NOUN
ajis02-1180	81	22	range	range	NOUN
ajis02-1180	81	23	2	2	NUM
ajis02-1180	81	24	to	to	PART
ajis02-1180	81	25	is	be	AUX
ajis02-1180	81	26	suggested	suggest	VERB
ajis02-1180	81	27	by	by	ADP
ajis02-1180	81	28	vesanto	vesanto	ADP
ajis02-1180	81	29	and	and	CCONJ
ajis02-1180	81	30	alhoniemi	alhoniemi	ADV
ajis02-1180	81	31	(	(	PUNCT
ajis02-1180	81	32	2000	2000	NUM
ajis02-1180	81	33	)	)	PUNCT
ajis02-1180	81	34	where	where	SCONJ
ajis02-1180	81	35	n	n	PRON
ajis02-1180	81	36	is	be	AUX
ajis02-1180	81	37	the	the	DET
ajis02-1180	81	38	total	total	ADJ
ajis02-1180	81	39	number	number	NOUN
ajis02-1180	81	40	of	of	ADP
ajis02-1180	81	41	hit	hit	VERB
ajis02-1180	81	42	nodes	node	NOUN
ajis02-1180	81	43	in	in	ADP
ajis02-1180	81	44	the	the	DET
ajis02-1180	81	45	map	map	NOUN
ajis02-1180	81	46	.	.	PUNCT
ajis02-1180	82	1	the	the	DET
ajis02-1180	82	2	k	k	PROPN
ajis02-1180	82	3	value	value	NOUN
ajis02-1180	82	4	which	which	PRON
ajis02-1180	82	5	minimizes	minimize	VERB
ajis02-1180	82	6	the	the	DET
ajis02-1180	82	7	db	db	PROPN
ajis02-1180	82	8	-	-	PUNCT
ajis02-1180	82	9	index	index	NOUN
ajis02-1180	82	10	value	value	NOUN
ajis02-1180	82	11	s57	s57	NOUN
ajis02-1180	82	12	australasian	australasian	ADJ
ajis02-1180	82	13	journal	journal	NOUN
ajis02-1180	82	14	of	of	ADP
ajis02-1180	82	15	information	information	NOUN
ajis02-1180	82	16	systems	system	NOUN
ajis02-1180	82	17	nathawitharana	nathawitharana	PROPN
ajis02-1180	82	18	,	,	PUNCT
ajis02-1180	82	19	alahakoon	alahakoon	PROPN
ajis02-1180	82	20	&	&	CCONJ
ajis02-1180	82	21	matharage	matharage	NOUN
ajis02-1180	82	22	2015	2015	NUM
ajis02-1180	82	23	,	,	PUNCT
ajis02-1180	82	24	vol	vol	NOUN
ajis02-1180	82	25	.	.	PROPN
ajis02-1180	83	1	19	19	NUM
ajis02-1180	83	2	,	,	PUNCT
ajis02-1180	83	3	pp	pp	PROPN
ajis02-1180	83	4	.	.	PUNCT
ajis02-1180	84	1	s55	s55	PROPN
ajis02-1180	84	2	-	-	PUNCT
ajis02-1180	84	3	s75	s75	NOUN
ajis02-1180	84	4	improving	improve	VERB
ajis02-1180	84	5	decision	decision	NOUN
ajis02-1180	84	6	value	value	NOUN
ajis02-1180	84	7	of	of	ADP
ajis02-1180	84	8	hierarchical	hierarchical	ADJ
ajis02-1180	84	9	text	text	NOUN
ajis02-1180	84	10	is	be	AUX
ajis02-1180	84	11	selected	select	VERB
ajis02-1180	84	12	as	as	ADP
ajis02-1180	84	13	the	the	DET
ajis02-1180	84	14	final	final	ADJ
ajis02-1180	84	15	number	number	NOUN
ajis02-1180	84	16	of	of	ADP
ajis02-1180	84	17	clusters	cluster	NOUN
ajis02-1180	84	18	.	.	PUNCT
ajis02-1180	85	1	in	in	ADP
ajis02-1180	85	2	data	data	NOUN
ajis02-1180	85	3	skeleton	skeleton	NOUN
ajis02-1180	85	4	modelling	model	VERB
ajis02-1180	85	5	the	the	DET
ajis02-1180	85	6	path	path	NOUN
ajis02-1180	85	7	of	of	ADP
ajis02-1180	85	8	the	the	DET
ajis02-1180	85	9	spread	spread	NOUN
ajis02-1180	85	10	(	(	PUNCT
ajis02-1180	85	11	pos	pos	NOUN
ajis02-1180	85	12	)	)	PUNCT
ajis02-1180	85	13	during	during	ADP
ajis02-1180	85	14	node	node	ADJ
ajis02-1180	85	15	growth	growth	NOUN
ajis02-1180	85	16	is	be	AUX
ajis02-1180	85	17	manipulated	manipulate	VERB
ajis02-1180	85	18	to	to	PART
ajis02-1180	85	19	identify	identify	VERB
ajis02-1180	85	20	and	and	CCONJ
ajis02-1180	85	21	separate	separate	ADJ
ajis02-1180	85	22	clusters	cluster	NOUN
ajis02-1180	85	23	from	from	ADP
ajis02-1180	85	24	the	the	DET
ajis02-1180	85	25	gsom	gsom	PROPN
ajis02-1180	85	26	output	output	NOUN
ajis02-1180	85	27	.	.	PUNCT
ajis02-1180	86	1	3	3	NUM
ajis02-1180	86	2	methodology	methodology	NOUN
ajis02-1180	86	3	figure	figure	NOUN
ajis02-1180	86	4	1	1	NUM
ajis02-1180	86	5	illustrates	illustrate	VERB
ajis02-1180	86	6	the	the	DET
ajis02-1180	86	7	proposed	propose	VERB
ajis02-1180	86	8	methodology	methodology	NOUN
ajis02-1180	86	9	for	for	ADP
ajis02-1180	86	10	using	use	VERB
ajis02-1180	86	11	gsom	gsom	PROPN
ajis02-1180	86	12	based	base	VERB
ajis02-1180	86	13	hierarchical	hierarchical	ADJ
ajis02-1180	86	14	clustering	clustering	NOUN
ajis02-1180	86	15	to	to	PART
ajis02-1180	86	16	capture	capture	VERB
ajis02-1180	86	17	term	term	NOUN
ajis02-1180	86	18	overlap	overlap	NOUN
ajis02-1180	86	19	in	in	ADP
ajis02-1180	86	20	a	a	DET
ajis02-1180	86	21	document	document	NOUN
ajis02-1180	86	22	corpus	corpus	NOUN
ajis02-1180	86	23	.	.	PUNCT
ajis02-1180	87	1	each	each	DET
ajis02-1180	87	2	stage	stage	NOUN
ajis02-1180	87	3	of	of	ADP
ajis02-1180	87	4	the	the	DET
ajis02-1180	87	5	methodology	methodology	NOUN
ajis02-1180	87	6	is	be	AUX
ajis02-1180	87	7	explained	explain	VERB
ajis02-1180	87	8	in	in	ADP
ajis02-1180	87	9	following	follow	VERB
ajis02-1180	87	10	subsections	subsection	NOUN
ajis02-1180	87	11	.	.	PUNCT
ajis02-1180	88	1	figure	figure	NOUN
ajis02-1180	88	2	1	1	NUM
ajis02-1180	88	3	:	:	PUNCT
ajis02-1180	88	4	proposed	propose	VERB
ajis02-1180	88	5	methodology	methodology	NOUN
ajis02-1180	88	6	for	for	ADP
ajis02-1180	88	7	using	use	VERB
ajis02-1180	88	8	gsom	gsom	PROPN
ajis02-1180	88	9	based	base	VERB
ajis02-1180	88	10	hierarchical	hierarchical	ADJ
ajis02-1180	88	11	clustering	clustering	NOUN
ajis02-1180	88	12	to	to	PART
ajis02-1180	88	13	capture	capture	VERB
ajis02-1180	88	14	term	term	NOUN
ajis02-1180	88	15	overlap	overlap	NOUN
ajis02-1180	88	16	in	in	ADP
ajis02-1180	88	17	a	a	DET
ajis02-1180	88	18	document	document	NOUN
ajis02-1180	88	19	corpus	corpus	NOUN
ajis02-1180	88	20	3.1	3.1	NUM
ajis02-1180	88	21	pre	pre	ADJ
ajis02-1180	88	22	-	-	NOUN
ajis02-1180	88	23	process	process	ADJ
ajis02-1180	88	24	text	text	NOUN
ajis02-1180	88	25	documents	document	NOUN
ajis02-1180	88	26	input	input	NOUN
ajis02-1180	88	27	documents	document	NOUN
ajis02-1180	88	28	are	be	AUX
ajis02-1180	88	29	pre	pre	ADJ
ajis02-1180	88	30	-	-	VERB
ajis02-1180	88	31	processed	processed	ADJ
ajis02-1180	88	32	to	to	PART
ajis02-1180	88	33	reduce	reduce	VERB
ajis02-1180	88	34	the	the	DET
ajis02-1180	88	35	insignificant	insignificant	ADJ
ajis02-1180	88	36	terms	term	NOUN
ajis02-1180	88	37	.	.	PUNCT
ajis02-1180	89	1	stemming	stem	VERB
ajis02-1180	89	2	and	and	CCONJ
ajis02-1180	89	3	stop	stop	VERB
ajis02-1180	89	4	word	word	NOUN
ajis02-1180	89	5	removal	removal	NOUN
ajis02-1180	89	6	are	be	AUX
ajis02-1180	89	7	executed	execute	VERB
ajis02-1180	89	8	and	and	CCONJ
ajis02-1180	89	9	lower	low	ADJ
ajis02-1180	89	10	and	and	CCONJ
ajis02-1180	89	11	upper	upper	ADJ
ajis02-1180	89	12	thresholds	threshold	NOUN
ajis02-1180	89	13	are	be	AUX
ajis02-1180	89	14	applied	apply	VERB
ajis02-1180	89	15	where	where	SCONJ
ajis02-1180	89	16	the	the	DET
ajis02-1180	89	17	lower	low	ADJ
ajis02-1180	89	18	threshold	threshold	NOUN
ajis02-1180	89	19	helps	help	VERB
ajis02-1180	89	20	to	to	PART
ajis02-1180	89	21	remove	remove	VERB
ajis02-1180	89	22	terms	term	NOUN
ajis02-1180	89	23	which	which	PRON
ajis02-1180	89	24	occur	occur	VERB
ajis02-1180	89	25	very	very	ADV
ajis02-1180	89	26	infrequently	infrequently	ADV
ajis02-1180	89	27	and	and	CCONJ
ajis02-1180	89	28	the	the	DET
ajis02-1180	89	29	upper	upper	ADJ
ajis02-1180	89	30	threshold	threshold	NOUN
ajis02-1180	89	31	helps	help	VERB
ajis02-1180	89	32	to	to	PART
ajis02-1180	89	33	remove	remove	VERB
ajis02-1180	89	34	terms	term	NOUN
ajis02-1180	89	35	which	which	PRON
ajis02-1180	89	36	occur	occur	VERB
ajis02-1180	89	37	very	very	ADV
ajis02-1180	89	38	frequently	frequently	ADV
ajis02-1180	89	39	.	.	PUNCT
ajis02-1180	90	1	after	after	SCONJ
ajis02-1180	90	2	pre	pre	ADJ
ajis02-1180	90	3	-	-	ADJ
ajis02-1180	90	4	processing	processing	ADJ
ajis02-1180	90	5	text	text	NOUN
ajis02-1180	90	6	documents	document	NOUN
ajis02-1180	90	7	need	need	VERB
ajis02-1180	90	8	to	to	PART
ajis02-1180	90	9	be	be	AUX
ajis02-1180	90	10	represented	represent	VERB
ajis02-1180	90	11	as	as	ADP
ajis02-1180	90	12	term	term	NOUN
ajis02-1180	90	13	vectors	vector	NOUN
ajis02-1180	90	14	prior	prior	ADV
ajis02-1180	90	15	to	to	ADP
ajis02-1180	90	16	the	the	DET
ajis02-1180	90	17	clustering	cluster	VERB
ajis02-1180	90	18	process	process	NOUN
ajis02-1180	90	19	(	(	PUNCT
ajis02-1180	90	20	kohonen	kohonen	NOUN
ajis02-1180	90	21	et	et	PROPN
ajis02-1180	90	22	al	al	PROPN
ajis02-1180	90	23	.	.	PROPN
ajis02-1180	90	24	2000	2000	NUM
ajis02-1180	90	25	)	)	PUNCT
ajis02-1180	90	26	.	.	PUNCT
ajis02-1180	91	1	vector	vector	NOUN
ajis02-1180	91	2	space	space	NOUN
ajis02-1180	91	3	model	model	NOUN
ajis02-1180	91	4	(	(	PUNCT
ajis02-1180	91	5	vsm	vsm	PROPN
ajis02-1180	91	6	)	)	PUNCT
ajis02-1180	91	7	(	(	PUNCT
ajis02-1180	91	8	salton	salton	PROPN
ajis02-1180	91	9	et	et	PROPN
ajis02-1180	91	10	al	al	PROPN
ajis02-1180	91	11	.	.	PROPN
ajis02-1180	91	12	1975	1975	NUM
ajis02-1180	91	13	)	)	PUNCT
ajis02-1180	91	14	is	be	AUX
ajis02-1180	91	15	a	a	DET
ajis02-1180	91	16	popular	popular	ADJ
ajis02-1180	91	17	document	document	NOUN
ajis02-1180	91	18	representation	representation	NOUN
ajis02-1180	91	19	technique	technique	NOUN
ajis02-1180	91	20	where	where	SCONJ
ajis02-1180	91	21	documents	document	NOUN
ajis02-1180	91	22	are	be	AUX
ajis02-1180	91	23	represented	represent	VERB
ajis02-1180	91	24	as	as	ADP
ajis02-1180	91	25	term	term	NOUN
ajis02-1180	91	26	vectors	vector	NOUN
ajis02-1180	91	27	,	,	PUNCT
ajis02-1180	91	28	in	in	ADP
ajis02-1180	91	29	which	which	PRON
ajis02-1180	91	30	the	the	DET
ajis02-1180	91	31	dimensionality	dimensionality	NOUN
ajis02-1180	91	32	is	be	AUX
ajis02-1180	91	33	equivalent	equivalent	ADJ
ajis02-1180	91	34	to	to	ADP
ajis02-1180	91	35	the	the	DET
ajis02-1180	91	36	total	total	ADJ
ajis02-1180	91	37	number	number	NOUN
ajis02-1180	91	38	of	of	ADP
ajis02-1180	91	39	terms	term	NOUN
ajis02-1180	91	40	extracted	extract	VERB
ajis02-1180	91	41	from	from	ADP
ajis02-1180	91	42	the	the	DET
ajis02-1180	91	43	complete	complete	ADJ
ajis02-1180	91	44	document	document	NOUN
ajis02-1180	91	45	set	set	NOUN
ajis02-1180	91	46	.	.	PUNCT
ajis02-1180	92	1	the	the	DET
ajis02-1180	92	2	importance	importance	NOUN
ajis02-1180	92	3	of	of	ADP
ajis02-1180	92	4	each	each	DET
ajis02-1180	92	5	term	term	NOUN
ajis02-1180	92	6	is	be	AUX
ajis02-1180	92	7	represented	represent	VERB
ajis02-1180	92	8	by	by	ADP
ajis02-1180	92	9	a	a	DET
ajis02-1180	92	10	weight	weight	NOUN
ajis02-1180	92	11	value	value	NOUN
ajis02-1180	92	12	and	and	CCONJ
ajis02-1180	92	13	three	three	NUM
ajis02-1180	92	14	popular	popular	ADJ
ajis02-1180	92	15	term	term	NOUN
ajis02-1180	92	16	weighting	weight	VERB
ajis02-1180	92	17	techniques	technique	NOUN
ajis02-1180	92	18	associated	associate	VERB
ajis02-1180	92	19	with	with	ADP
ajis02-1180	92	20	the	the	DET
ajis02-1180	92	21	vsm	vsm	PROPN
ajis02-1180	92	22	are	be	AUX
ajis02-1180	92	23	binary	binary	ADJ
ajis02-1180	92	24	representation	representation	NOUN
ajis02-1180	92	25	,	,	PUNCT
ajis02-1180	92	26	term	term	NOUN
ajis02-1180	92	27	frequency	frequency	NOUN
ajis02-1180	92	28	(	(	PUNCT
ajis02-1180	92	29	tf	tf	NOUN
ajis02-1180	92	30	)	)	PUNCT
ajis02-1180	92	31	,	,	PUNCT
ajis02-1180	92	32	and	and	CCONJ
ajis02-1180	92	33	term	term	NOUN
ajis02-1180	92	34	frequency	frequency	NOUN
ajis02-1180	92	35	–	–	PUNCT
ajis02-1180	92	36	inverse	inverse	NOUN
ajis02-1180	92	37	document	document	NOUN
ajis02-1180	92	38	frequency	frequency	NOUN
ajis02-1180	92	39	(	(	PUNCT
ajis02-1180	92	40	tf	tf	PROPN
ajis02-1180	92	41	-	-	PUNCT
ajis02-1180	92	42	idf	idf	NOUN
ajis02-1180	92	43	)	)	PUNCT
ajis02-1180	92	44	.	.	PUNCT
ajis02-1180	93	1	binary	binary	ADJ
ajis02-1180	93	2	representation	representation	NOUN
ajis02-1180	93	3	indicates	indicate	VERB
ajis02-1180	93	4	existence	existence	NOUN
ajis02-1180	93	5	of	of	ADP
ajis02-1180	93	6	a	a	DET
ajis02-1180	93	7	term	term	NOUN
ajis02-1180	93	8	in	in	ADP
ajis02-1180	93	9	a	a	DET
ajis02-1180	93	10	document	document	NOUN
ajis02-1180	93	11	where	where	SCONJ
ajis02-1180	93	12	weight	weight	NOUN
ajis02-1180	93	13	1	1	NUM
ajis02-1180	93	14	is	be	AUX
ajis02-1180	93	15	given	give	VERB
ajis02-1180	93	16	if	if	SCONJ
ajis02-1180	93	17	term	term	NOUN
ajis02-1180	93	18	exists	exist	VERB
ajis02-1180	93	19	s58	s58	ADJ
ajis02-1180	93	20	australasian	australasian	ADJ
ajis02-1180	93	21	journal	journal	NOUN
ajis02-1180	93	22	of	of	ADP
ajis02-1180	93	23	information	information	NOUN
ajis02-1180	93	24	systems	system	NOUN
ajis02-1180	93	25	nathawitharana	nathawitharana	PROPN
ajis02-1180	93	26	,	,	PUNCT
ajis02-1180	93	27	alahakoon	alahakoon	PROPN
ajis02-1180	93	28	&	&	CCONJ
ajis02-1180	93	29	matharage	matharage	NOUN
ajis02-1180	93	30	2015	2015	NUM
ajis02-1180	93	31	,	,	PUNCT
ajis02-1180	93	32	vol	vol	NOUN
ajis02-1180	93	33	.	.	PROPN
ajis02-1180	93	34	19	19	NUM
ajis02-1180	93	35	,	,	PUNCT
ajis02-1180	93	36	pp	pp	PROPN
ajis02-1180	93	37	.	.	PUNCT
ajis02-1180	93	38	s55	s55	PROPN
ajis02-1180	93	39	-	-	PUNCT
ajis02-1180	93	40	s75	s75	NOUN
ajis02-1180	93	41	improving	improve	VERB
ajis02-1180	93	42	decision	decision	NOUN
ajis02-1180	93	43	value	value	NOUN
ajis02-1180	93	44	of	of	ADP
ajis02-1180	93	45	hierarchical	hierarchical	ADJ
ajis02-1180	93	46	text	text	NOUN
ajis02-1180	93	47	and	and	CCONJ
ajis02-1180	93	48	0	0	NUM
ajis02-1180	93	49	is	be	AUX
ajis02-1180	93	50	given	give	VERB
ajis02-1180	93	51	when	when	SCONJ
ajis02-1180	93	52	term	term	NOUN
ajis02-1180	93	53	does	do	AUX
ajis02-1180	93	54	not	not	PART
ajis02-1180	93	55	exist	exist	VERB
ajis02-1180	93	56	.	.	PUNCT
ajis02-1180	94	1	the	the	DET
ajis02-1180	94	2	equations	equation	NOUN
ajis02-1180	94	3	for	for	ADP
ajis02-1180	94	4	tf	tf	PROPN
ajis02-1180	94	5	and	and	CCONJ
ajis02-1180	94	6	tf	tf	PROPN
ajis02-1180	94	7	-	-	PUNCT
ajis02-1180	94	8	idf	idf	PROPN
ajis02-1180	94	9	term	term	NOUN
ajis02-1180	94	10	weighting	weight	VERB
ajis02-1180	94	11	techniques	technique	NOUN
ajis02-1180	94	12	are	be	AUX
ajis02-1180	94	13	presented	present	VERB
ajis02-1180	94	14	by	by	ADP
ajis02-1180	94	15	(	(	PUNCT
ajis02-1180	94	16	1	1	NUM
ajis02-1180	94	17	)	)	PUNCT
ajis02-1180	94	18	and	and	CCONJ
ajis02-1180	94	19	(	(	PUNCT
ajis02-1180	94	20	2	2	X
ajis02-1180	94	21	)	)	PUNCT
ajis02-1180	94	22	respectively	respectively	ADV
ajis02-1180	94	23	.	.	PUNCT
ajis02-1180	94	24	,	,	PUNCT
ajis02-1180	95	1	=	=	PRON
ajis02-1180	95	2	,	,	PUNCT
ajis02-1180	95	3	(	(	PUNCT
ajis02-1180	95	4	1	1	X
ajis02-1180	95	5	)	)	PUNCT
ajis02-1180	95	6	tft	tft	ADV
ajis02-1180	95	7	,	,	PUNCT
ajis02-1180	95	8	d	d	ADJ
ajis02-1180	95	9	–	–	PUNCT
ajis02-1180	95	10	term	term	NOUN
ajis02-1180	95	11	frequency	frequency	NOUN
ajis02-1180	95	12	of	of	ADP
ajis02-1180	95	13	term	term	NOUN
ajis02-1180	95	14	t	t	PROPN
ajis02-1180	95	15	in	in	ADP
ajis02-1180	95	16	document	document	NOUN
ajis02-1180	95	17	d	d	NOUN
ajis02-1180	95	18	,	,	PUNCT
ajis02-1180	95	19	nt	not	PART
ajis02-1180	95	20	,	,	PUNCT
ajis02-1180	95	21	d	d	NOUN
ajis02-1180	95	22	–	–	PUNCT
ajis02-1180	95	23	number	number	NOUN
ajis02-1180	95	24	of	of	ADP
ajis02-1180	95	25	occurrences	occurrence	NOUN
ajis02-1180	95	26	of	of	ADP
ajis02-1180	95	27	term	term	NOUN
ajis02-1180	95	28	t	t	NOUN
ajis02-1180	95	29	in	in	ADP
ajis02-1180	95	30	document	document	NOUN
ajis02-1180	95	31	d	d	NOUN
ajis02-1180	95	32	,	,	PUNCT
ajis02-1180	95	33	nd	nd	INTJ
ajis02-1180	95	34	–	–	PUNCT
ajis02-1180	95	35	total	total	ADJ
ajis02-1180	95	36	number	number	NOUN
ajis02-1180	95	37	of	of	ADP
ajis02-1180	95	38	terms	term	NOUN
ajis02-1180	95	39	in	in	ADP
ajis02-1180	95	40	document	document	NOUN
ajis02-1180	95	41	d	d	NOUN
ajis02-1180	95	42	,	,	PUNCT
ajis02-1180	95	43	=	=	PRON
ajis02-1180	95	44	,	,	PUNCT
ajis02-1180	95	45	×	×	NOUN
ajis02-1180	95	46	log	log	NOUN
ajis02-1180	96	1	|	|	ADV
ajis02-1180	96	2	|	|	INTJ
ajis02-1180	96	3	(	(	PUNCT
ajis02-1180	96	4	2	2	X
ajis02-1180	96	5	)	)	PUNCT
ajis02-1180	96	6	tf	tf	NOUN
ajis02-1180	96	7	–	–	PUNCT
ajis02-1180	96	8	idft	idft	NOUN
ajis02-1180	96	9	,	,	PUNCT
ajis02-1180	96	10	d	d	ADJ
ajis02-1180	96	11	–	–	PUNCT
ajis02-1180	96	12	term	term	NOUN
ajis02-1180	96	13	frequency	frequency	NOUN
ajis02-1180	96	14	–	–	PUNCT
ajis02-1180	96	15	inverse	inverse	NOUN
ajis02-1180	96	16	document	document	NOUN
ajis02-1180	96	17	frequency	frequency	NOUN
ajis02-1180	96	18	of	of	ADP
ajis02-1180	96	19	term	term	NOUN
ajis02-1180	96	20	t	t	PROPN
ajis02-1180	96	21	in	in	ADP
ajis02-1180	96	22	document	document	NOUN
ajis02-1180	97	1	d	d	NOUN
ajis02-1180	97	2	,	,	PUNCT
ajis02-1180	97	3	tft	tft	ADV
ajis02-1180	97	4	,	,	PUNCT
ajis02-1180	97	5	d	d	ADJ
ajis02-1180	97	6	–	–	PUNCT
ajis02-1180	97	7	term	term	NOUN
ajis02-1180	97	8	frequency	frequency	NOUN
ajis02-1180	97	9	of	of	ADP
ajis02-1180	97	10	term	term	NOUN
ajis02-1180	97	11	t	t	PROPN
ajis02-1180	97	12	in	in	ADP
ajis02-1180	97	13	document	document	NOUN
ajis02-1180	98	1	d	d	NOUN
ajis02-1180	98	2	,	,	PUNCT
ajis02-1180	98	3	|d|	|d|	PROPN
ajis02-1180	98	4	–	–	PUNCT
ajis02-1180	98	5	total	total	ADJ
ajis02-1180	98	6	number	number	NOUN
ajis02-1180	98	7	of	of	ADP
ajis02-1180	98	8	documents	document	NOUN
ajis02-1180	98	9	,	,	PUNCT
ajis02-1180	98	10	dft	dft	ADJ
ajis02-1180	98	11	–	–	PUNCT
ajis02-1180	98	12	number	number	NOUN
ajis02-1180	98	13	of	of	ADP
ajis02-1180	98	14	documents	document	NOUN
ajis02-1180	98	15	which	which	PRON
ajis02-1180	98	16	contain	contain	VERB
ajis02-1180	98	17	term	term	NOUN
ajis02-1180	98	18	t.	t.	NOUN
ajis02-1180	98	19	in	in	ADP
ajis02-1180	98	20	the	the	DET
ajis02-1180	98	21	proposed	propose	VERB
ajis02-1180	98	22	methodology	methodology	NOUN
ajis02-1180	98	23	term	term	NOUN
ajis02-1180	98	24	vectors	vector	NOUN
ajis02-1180	98	25	are	be	AUX
ajis02-1180	98	26	prepared	prepare	VERB
ajis02-1180	98	27	(	(	PUNCT
ajis02-1180	98	28	coded	code	VERB
ajis02-1180	98	29	)	)	PUNCT
ajis02-1180	98	30	using	use	VERB
ajis02-1180	98	31	the	the	DET
ajis02-1180	98	32	tf	tf	PROPN
ajis02-1180	98	33	-	-	PUNCT
ajis02-1180	98	34	idf	idf	PROPN
ajis02-1180	98	35	weighting	weighting	NOUN
ajis02-1180	98	36	technique	technique	NOUN
ajis02-1180	98	37	.	.	PUNCT
ajis02-1180	99	1	3.2	3.2	NUM
ajis02-1180	99	2	execution	execution	NOUN
ajis02-1180	99	3	of	of	ADP
ajis02-1180	99	4	the	the	DET
ajis02-1180	99	5	gsom	gsom	PROPN
ajis02-1180	99	6	and	and	CCONJ
ajis02-1180	99	7	automatic	automatic	ADJ
ajis02-1180	99	8	cluster	cluster	NOUN
ajis02-1180	99	9	identification	identification	NOUN
ajis02-1180	99	10	term	term	NOUN
ajis02-1180	99	11	vectors	vector	NOUN
ajis02-1180	99	12	are	be	AUX
ajis02-1180	99	13	directed	direct	VERB
ajis02-1180	99	14	to	to	ADP
ajis02-1180	99	15	the	the	DET
ajis02-1180	99	16	gsom	gsom	PROPN
ajis02-1180	99	17	algorithm	algorithm	NOUN
ajis02-1180	99	18	and	and	CCONJ
ajis02-1180	99	19	sf	sf	NOUN
ajis02-1180	99	20	value	value	NOUN
ajis02-1180	99	21	is	be	AUX
ajis02-1180	99	22	chosen	choose	VERB
ajis02-1180	99	23	based	base	VERB
ajis02-1180	99	24	on	on	ADP
ajis02-1180	99	25	the	the	DET
ajis02-1180	99	26	level	level	NOUN
ajis02-1180	99	27	of	of	ADP
ajis02-1180	99	28	the	the	DET
ajis02-1180	99	29	hierarchy	hierarchy	NOUN
ajis02-1180	99	30	.	.	PUNCT
ajis02-1180	100	1	lower	low	ADJ
ajis02-1180	100	2	sf	sf	PROPN
ajis02-1180	100	3	value	value	NOUN
ajis02-1180	100	4	is	be	AUX
ajis02-1180	100	5	selected	select	VERB
ajis02-1180	100	6	for	for	ADP
ajis02-1180	100	7	the	the	DET
ajis02-1180	100	8	first	first	ADJ
ajis02-1180	100	9	level	level	NOUN
ajis02-1180	100	10	of	of	ADP
ajis02-1180	100	11	the	the	DET
ajis02-1180	100	12	hierarchy	hierarchy	NOUN
ajis02-1180	100	13	with	with	ADP
ajis02-1180	100	14	the	the	DET
ajis02-1180	100	15	aim	aim	NOUN
ajis02-1180	100	16	of	of	ADP
ajis02-1180	100	17	obtaining	obtain	VERB
ajis02-1180	100	18	an	an	DET
ajis02-1180	100	19	abstract	abstract	ADJ
ajis02-1180	100	20	map	map	NOUN
ajis02-1180	100	21	.	.	PUNCT
ajis02-1180	101	1	clusters	cluster	NOUN
ajis02-1180	101	2	in	in	ADP
ajis02-1180	101	3	the	the	DET
ajis02-1180	101	4	output	output	NOUN
ajis02-1180	101	5	map	map	NOUN
ajis02-1180	101	6	are	be	AUX
ajis02-1180	101	7	obtained	obtain	VERB
ajis02-1180	101	8	using	use	VERB
ajis02-1180	101	9	the	the	DET
ajis02-1180	101	10	k	k	NOUN
ajis02-1180	101	11	-	-	PUNCT
ajis02-1180	101	12	means	mean	NOUN
ajis02-1180	101	13	and	and	CCONJ
ajis02-1180	101	14	db	db	PROPN
ajis02-1180	101	15	index	index	NOUN
ajis02-1180	101	16	based	base	VERB
ajis02-1180	101	17	automatic	automatic	ADJ
ajis02-1180	101	18	cluster	cluster	NOUN
ajis02-1180	101	19	identification	identification	NOUN
ajis02-1180	101	20	mechanism	mechanism	NOUN
ajis02-1180	101	21	.	.	PUNCT
ajis02-1180	102	1	3.3	3.3	NUM
ajis02-1180	102	2	overlap	overlap	NOUN
ajis02-1180	102	3	factor	factor	NOUN
ajis02-1180	102	4	based	base	VERB
ajis02-1180	102	5	hierarchical	hierarchical	ADJ
ajis02-1180	102	6	implementation	implementation	NOUN
ajis02-1180	102	7	clusters	cluster	NOUN
ajis02-1180	102	8	obtained	obtain	VERB
ajis02-1180	102	9	are	be	AUX
ajis02-1180	102	10	directed	direct	VERB
ajis02-1180	102	11	to	to	ADP
ajis02-1180	102	12	the	the	DET
ajis02-1180	102	13	term	term	NOUN
ajis02-1180	102	14	overlap	overlap	NOUN
ajis02-1180	102	15	calculation	calculation	NOUN
ajis02-1180	102	16	phase	phase	NOUN
ajis02-1180	102	17	which	which	PRON
ajis02-1180	102	18	uses	use	VERB
ajis02-1180	102	19	two	two	NUM
ajis02-1180	102	20	novel	novel	ADJ
ajis02-1180	102	21	parameters	parameter	NOUN
ajis02-1180	102	22	introduced	introduce	VERB
ajis02-1180	102	23	in	in	ADP
ajis02-1180	102	24	the	the	DET
ajis02-1180	102	25	methodology	methodology	NOUN
ajis02-1180	102	26	,	,	PUNCT
ajis02-1180	102	27	namely	namely	ADV
ajis02-1180	102	28	overlap	overlap	NOUN
ajis02-1180	102	29	factor	factor	NOUN
ajis02-1180	102	30	(	(	PUNCT
ajis02-1180	102	31	of	of	ADP
ajis02-1180	102	32	)	)	PUNCT
ajis02-1180	102	33	and	and	CCONJ
ajis02-1180	102	34	overlap	overlap	NOUN
ajis02-1180	102	35	threshold	threshold	NOUN
ajis02-1180	102	36	(	(	PUNCT
ajis02-1180	102	37	ot	ot	INTJ
ajis02-1180	102	38	)	)	PUNCT
ajis02-1180	102	39	.	.	PUNCT
ajis02-1180	103	1	of	of	ADP
ajis02-1180	103	2	is	be	AUX
ajis02-1180	103	3	introduced	introduce	VERB
ajis02-1180	103	4	based	base	VERB
ajis02-1180	103	5	on	on	ADP
ajis02-1180	103	6	the	the	DET
ajis02-1180	103	7	jaccard	jaccard	ADJ
ajis02-1180	103	8	index	index	NOUN
ajis02-1180	103	9	(	(	PUNCT
ajis02-1180	103	10	jaccard	jaccard	PROPN
ajis02-1180	103	11	1908	1908	NUM
ajis02-1180	103	12	)	)	PUNCT
ajis02-1180	103	13	.	.	PUNCT
ajis02-1180	104	1	jaccard	jaccard	PROPN
ajis02-1180	104	2	index	index	NOUN
ajis02-1180	104	3	which	which	PRON
ajis02-1180	104	4	is	be	AUX
ajis02-1180	104	5	also	also	ADV
ajis02-1180	104	6	known	know	VERB
ajis02-1180	104	7	as	as	ADP
ajis02-1180	104	8	jaccard	jaccard	ADJ
ajis02-1180	104	9	similarity	similarity	NOUN
ajis02-1180	104	10	coefficient	coefficient	NOUN
ajis02-1180	104	11	measures	measure	VERB
ajis02-1180	104	12	the	the	DET
ajis02-1180	104	13	similarity	similarity	NOUN
ajis02-1180	104	14	between	between	ADP
ajis02-1180	104	15	finite	finite	PROPN
ajis02-1180	104	16	sample	sample	NOUN
ajis02-1180	104	17	sets	set	NOUN
ajis02-1180	104	18	(	(	PUNCT
ajis02-1180	104	19	jaccard	jaccard	PROPN
ajis02-1180	104	20	1908	1908	NUM
ajis02-1180	104	21	)	)	PUNCT
ajis02-1180	104	22	.	.	PUNCT
ajis02-1180	105	1	the	the	DET
ajis02-1180	105	2	calculation	calculation	NOUN
ajis02-1180	105	3	of	of	ADP
ajis02-1180	105	4	jaccard	jaccard	ADJ
ajis02-1180	105	5	index	index	NOUN
ajis02-1180	105	6	is	be	AUX
ajis02-1180	105	7	presented	present	VERB
ajis02-1180	105	8	by	by	ADP
ajis02-1180	105	9	(	(	PUNCT
ajis02-1180	105	10	3	3	NUM
ajis02-1180	105	11	)	)	PUNCT
ajis02-1180	105	12	.	.	PUNCT
ajis02-1180	106	1	j(a	j(a	PROPN
ajis02-1180	106	2	,	,	PUNCT
ajis02-1180	106	3	b	b	X
ajis02-1180	106	4	)	)	PUNCT
ajis02-1180	106	5	=	=	SYM
ajis02-1180	106	6	(	(	PUNCT
ajis02-1180	106	7	)	)	PUNCT
ajis02-1180	106	8	(	(	PUNCT
ajis02-1180	106	9	)	)	PUNCT
ajis02-1180	106	10	(	(	PUNCT
ajis02-1180	106	11	3	3	X
ajis02-1180	106	12	)	)	PUNCT
ajis02-1180	106	13	where	where	SCONJ
ajis02-1180	106	14	,	,	PUNCT
ajis02-1180	106	15	a	a	PRON
ajis02-1180	106	16	and	and	CCONJ
ajis02-1180	106	17	b	b	NOUN
ajis02-1180	106	18	are	be	AUX
ajis02-1180	106	19	finite	finite	ADJ
ajis02-1180	106	20	sample	sample	NOUN
ajis02-1180	106	21	sets	set	NOUN
ajis02-1180	106	22	of	of	ADP
ajis02-1180	106	23	measures	measure	NOUN
ajis02-1180	106	24	the	the	DET
ajis02-1180	106	25	term	term	NOUN
ajis02-1180	106	26	overlap	overlap	NOUN
ajis02-1180	106	27	between	between	ADP
ajis02-1180	106	28	the	the	DET
ajis02-1180	106	29	cluster	cluster	NOUN
ajis02-1180	106	30	pairs	pair	NOUN
ajis02-1180	106	31	which	which	PRON
ajis02-1180	106	32	is	be	AUX
ajis02-1180	106	33	an	an	DET
ajis02-1180	106	34	effective	effective	ADJ
ajis02-1180	106	35	indicator	indicator	NOUN
ajis02-1180	106	36	of	of	ADP
ajis02-1180	106	37	cluster	cluster	NOUN
ajis02-1180	106	38	purity	purity	NOUN
ajis02-1180	106	39	.	.	PUNCT
ajis02-1180	107	1	when	when	SCONJ
ajis02-1180	107	2	calculating	calculate	VERB
ajis02-1180	107	3	the	the	PRON
ajis02-1180	107	4	of	of	ADP
ajis02-1180	107	5	only	only	ADV
ajis02-1180	107	6	the	the	DET
ajis02-1180	107	7	most	most	ADV
ajis02-1180	107	8	frequent	frequent	ADJ
ajis02-1180	107	9	terms	term	NOUN
ajis02-1180	107	10	which	which	PRON
ajis02-1180	107	11	are	be	AUX
ajis02-1180	107	12	considered	consider	VERB
ajis02-1180	107	13	as	as	ADP
ajis02-1180	107	14	representative	representative	ADJ
ajis02-1180	107	15	terms	term	NOUN
ajis02-1180	107	16	for	for	ADP
ajis02-1180	107	17	clusters	cluster	NOUN
ajis02-1180	107	18	are	be	AUX
ajis02-1180	107	19	taken	take	VERB
ajis02-1180	107	20	into	into	ADP
ajis02-1180	107	21	consideration	consideration	NOUN
ajis02-1180	107	22	.	.	PUNCT
ajis02-1180	108	1	one	one	NUM
ajis02-1180	108	2	major	major	ADJ
ajis02-1180	108	3	concern	concern	NOUN
ajis02-1180	108	4	regarding	regard	VERB
ajis02-1180	108	5	the	the	PRON
ajis02-1180	108	6	of	of	ADP
ajis02-1180	108	7	calculation	calculation	NOUN
ajis02-1180	108	8	is	be	AUX
ajis02-1180	108	9	how	how	SCONJ
ajis02-1180	108	10	many	many	ADJ
ajis02-1180	108	11	terms	term	NOUN
ajis02-1180	108	12	should	should	AUX
ajis02-1180	108	13	be	be	AUX
ajis02-1180	108	14	selected	select	VERB
ajis02-1180	108	15	from	from	ADP
ajis02-1180	108	16	each	each	DET
ajis02-1180	108	17	cluster	cluster	NOUN
ajis02-1180	108	18	.	.	PUNCT
ajis02-1180	109	1	selecting	select	VERB
ajis02-1180	109	2	a	a	DET
ajis02-1180	109	3	limited	limited	ADJ
ajis02-1180	109	4	number	number	NOUN
ajis02-1180	109	5	of	of	ADP
ajis02-1180	109	6	highly	highly	ADV
ajis02-1180	109	7	frequent	frequent	ADJ
ajis02-1180	109	8	terms	term	NOUN
ajis02-1180	109	9	will	will	AUX
ajis02-1180	109	10	not	not	PART
ajis02-1180	109	11	provide	provide	VERB
ajis02-1180	109	12	satisfactory	satisfactory	ADJ
ajis02-1180	109	13	results	result	NOUN
ajis02-1180	109	14	as	as	SCONJ
ajis02-1180	109	15	the	the	DET
ajis02-1180	109	16	overlap	overlap	NOUN
ajis02-1180	109	17	in	in	ADP
ajis02-1180	109	18	terms	term	NOUN
ajis02-1180	109	19	tend	tend	VERB
ajis02-1180	109	20	to	to	PART
ajis02-1180	109	21	be	be	AUX
ajis02-1180	109	22	low	low	ADJ
ajis02-1180	109	23	.	.	PUNCT
ajis02-1180	110	1	therefore	therefore	ADV
ajis02-1180	110	2	it	it	PRON
ajis02-1180	110	3	is	be	AUX
ajis02-1180	110	4	important	important	ADJ
ajis02-1180	110	5	for	for	SCONJ
ajis02-1180	110	6	the	the	DET
ajis02-1180	110	7	analyst	analyst	NOUN
ajis02-1180	110	8	to	to	PART
ajis02-1180	110	9	decide	decide	VERB
ajis02-1180	110	10	how	how	SCONJ
ajis02-1180	110	11	many	many	ADJ
ajis02-1180	110	12	terms	term	NOUN
ajis02-1180	110	13	are	be	AUX
ajis02-1180	110	14	needed	need	VERB
ajis02-1180	110	15	for	for	ADP
ajis02-1180	110	16	the	the	DET
ajis02-1180	110	17	term	term	NOUN
ajis02-1180	110	18	overlap	overlap	NOUN
ajis02-1180	110	19	calculation	calculation	NOUN
ajis02-1180	110	20	and	and	CCONJ
ajis02-1180	110	21	the	the	DET
ajis02-1180	110	22	best	good	ADJ
ajis02-1180	110	23	approach	approach	NOUN
ajis02-1180	110	24	for	for	ADP
ajis02-1180	110	25	such	such	ADJ
ajis02-1180	110	26	selection	selection	NOUN
ajis02-1180	110	27	.	.	PUNCT
ajis02-1180	111	1	if	if	SCONJ
ajis02-1180	111	2	the	the	DET
ajis02-1180	111	3	sizes	size	NOUN
ajis02-1180	111	4	of	of	ADP
ajis02-1180	111	5	resultant	resultant	NOUN
ajis02-1180	111	6	clusters	cluster	NOUN
ajis02-1180	111	7	obtained	obtain	VERB
ajis02-1180	111	8	via	via	ADP
ajis02-1180	111	9	proposed	propose	VERB
ajis02-1180	111	10	methodology	methodology	NOUN
ajis02-1180	111	11	varies	vary	VERB
ajis02-1180	111	12	vastly	vastly	ADV
ajis02-1180	111	13	then	then	ADV
ajis02-1180	111	14	it	it	PRON
ajis02-1180	111	15	is	be	AUX
ajis02-1180	111	16	more	more	ADV
ajis02-1180	111	17	appropriate	appropriate	ADJ
ajis02-1180	111	18	to	to	PART
ajis02-1180	111	19	select	select	VERB
ajis02-1180	111	20	fixed	fix	VERB
ajis02-1180	111	21	number	number	NOUN
ajis02-1180	111	22	of	of	ADP
ajis02-1180	111	23	terms	term	NOUN
ajis02-1180	111	24	rather	rather	ADV
ajis02-1180	111	25	than	than	ADP
ajis02-1180	111	26	a	a	DET
ajis02-1180	111	27	percentage	percentage	NOUN
ajis02-1180	111	28	of	of	ADP
ajis02-1180	111	29	top	top	ADJ
ajis02-1180	111	30	most	most	ADJ
ajis02-1180	111	31	terms	term	NOUN
ajis02-1180	111	32	for	for	ADP
ajis02-1180	111	33	each	each	DET
ajis02-1180	111	34	cluster	cluster	NOUN
ajis02-1180	111	35	.	.	PUNCT
ajis02-1180	112	1	the	the	DET
ajis02-1180	112	2	reason	reason	NOUN
ajis02-1180	112	3	is	be	AUX
ajis02-1180	112	4	that	that	SCONJ
ajis02-1180	112	5	if	if	SCONJ
ajis02-1180	112	6	a	a	DET
ajis02-1180	112	7	particular	particular	ADJ
ajis02-1180	112	8	cluster	cluster	NOUN
ajis02-1180	112	9	size	size	NOUN
ajis02-1180	112	10	is	be	AUX
ajis02-1180	112	11	small	small	ADJ
ajis02-1180	112	12	and	and	CCONJ
ajis02-1180	112	13	only	only	ADV
ajis02-1180	112	14	few	few	ADJ
ajis02-1180	112	15	documents	document	NOUN
ajis02-1180	112	16	are	be	AUX
ajis02-1180	112	17	mapped	map	VERB
ajis02-1180	112	18	to	to	ADP
ajis02-1180	112	19	the	the	DET
ajis02-1180	112	20	cluster	cluster	NOUN
ajis02-1180	112	21	,	,	PUNCT
ajis02-1180	112	22	the	the	DET
ajis02-1180	112	23	total	total	ADJ
ajis02-1180	112	24	term	term	NOUN
ajis02-1180	112	25	count	count	NOUN
ajis02-1180	112	26	will	will	AUX
ajis02-1180	112	27	be	be	AUX
ajis02-1180	112	28	comparatively	comparatively	ADV
ajis02-1180	112	29	low	low	ADJ
ajis02-1180	112	30	than	than	ADP
ajis02-1180	112	31	the	the	DET
ajis02-1180	112	32	other	other	ADJ
ajis02-1180	112	33	clusters	cluster	NOUN
ajis02-1180	112	34	.	.	PUNCT
ajis02-1180	113	1	even	even	ADV
ajis02-1180	113	2	though	though	SCONJ
ajis02-1180	113	3	total	total	ADJ
ajis02-1180	113	4	term	term	NOUN
ajis02-1180	113	5	count	count	NOUN
ajis02-1180	113	6	is	be	AUX
ajis02-1180	113	7	low	low	ADJ
ajis02-1180	113	8	,	,	PUNCT
ajis02-1180	113	9	most	most	ADJ
ajis02-1180	113	10	of	of	ADP
ajis02-1180	113	11	the	the	DET
ajis02-1180	113	12	terms	term	NOUN
ajis02-1180	113	13	exist	exist	VERB
ajis02-1180	113	14	within	within	ADP
ajis02-1180	113	15	the	the	DET
ajis02-1180	113	16	cluster	cluster	NOUN
ajis02-1180	113	17	might	might	AUX
ajis02-1180	113	18	be	be	AUX
ajis02-1180	113	19	very	very	ADV
ajis02-1180	113	20	frequent	frequent	ADJ
ajis02-1180	113	21	within	within	ADP
ajis02-1180	113	22	the	the	DET
ajis02-1180	113	23	cluster	cluster	NOUN
ajis02-1180	113	24	and	and	CCONJ
ajis02-1180	113	25	if	if	SCONJ
ajis02-1180	113	26	we	we	PRON
ajis02-1180	113	27	select	select	VERB
ajis02-1180	113	28	only	only	ADV
ajis02-1180	113	29	the	the	DET
ajis02-1180	113	30	top	top	ADJ
ajis02-1180	113	31	most	most	ADJ
ajis02-1180	113	32	percentage	percentage	NOUN
ajis02-1180	113	33	only	only	ADV
ajis02-1180	113	34	few	few	ADJ
ajis02-1180	113	35	terms	term	NOUN
ajis02-1180	113	36	out	out	ADP
ajis02-1180	113	37	of	of	ADP
ajis02-1180	113	38	frequent	frequent	ADJ
ajis02-1180	113	39	terms	term	NOUN
ajis02-1180	113	40	will	will	AUX
ajis02-1180	113	41	be	be	AUX
ajis02-1180	113	42	selected	select	VERB
ajis02-1180	113	43	as	as	ADP
ajis02-1180	113	44	representative	representative	ADJ
ajis02-1180	113	45	terms	term	NOUN
ajis02-1180	113	46	for	for	ADP
ajis02-1180	113	47	relevant	relevant	ADJ
ajis02-1180	113	48	cluster	cluster	NOUN
ajis02-1180	113	49	which	which	PRON
ajis02-1180	113	50	will	will	AUX
ajis02-1180	113	51	have	have	VERB
ajis02-1180	113	52	negative	negative	ADJ
ajis02-1180	113	53	impact	impact	NOUN
ajis02-1180	113	54	for	for	ADP
ajis02-1180	113	55	of	of	ADP
ajis02-1180	113	56	calculation	calculation	NOUN
ajis02-1180	113	57	.	.	PUNCT
ajis02-1180	114	1	the	the	DET
ajis02-1180	114	2	equation	equation	NOUN
ajis02-1180	114	3	for	for	ADP
ajis02-1180	114	4	of	of	ADP
ajis02-1180	114	5	calculation	calculation	NOUN
ajis02-1180	114	6	for	for	ADP
ajis02-1180	114	7	cluster	cluster	NOUN
ajis02-1180	114	8	a	a	PRON
ajis02-1180	114	9	and	and	CCONJ
ajis02-1180	114	10	b	b	NOUN
ajis02-1180	114	11	is	be	AUX
ajis02-1180	114	12	provided	provide	VERB
ajis02-1180	114	13	in	in	ADP
ajis02-1180	114	14	(	(	PUNCT
ajis02-1180	114	15	4	4	NUM
ajis02-1180	114	16	)	)	PUNCT
ajis02-1180	114	17	.	.	PUNCT
ajis02-1180	115	1	of(a	of(a	ADJ
ajis02-1180	115	2	,	,	PUNCT
ajis02-1180	115	3	b	b	X
ajis02-1180	115	4	)	)	PUNCT
ajis02-1180	115	5	=	=	SYM
ajis02-1180	115	6	(	(	PUNCT
ajis02-1180	115	7	)	)	PUNCT
ajis02-1180	115	8	(	(	PUNCT
ajis02-1180	115	9	)	)	PUNCT
ajis02-1180	115	10	(	(	PUNCT
ajis02-1180	115	11	4	4	X
ajis02-1180	115	12	)	)	PUNCT
ajis02-1180	115	13	where	where	SCONJ
ajis02-1180	115	14	,	,	PUNCT
ajis02-1180	115	15	ta	ta	PROPN
ajis02-1180	115	16	and	and	CCONJ
ajis02-1180	115	17	tb	tb	ADP
ajis02-1180	115	18	ot	ot	NOUN
ajis02-1180	115	19	is	be	AUX
ajis02-1180	115	20	the	the	DET
ajis02-1180	115	21	threshold	threshold	NOUN
ajis02-1180	115	22	value	value	NOUN
ajis02-1180	115	23	which	which	PRON
ajis02-1180	115	24	helps	help	VERB
ajis02-1180	115	25	to	to	PART
ajis02-1180	115	26	decide	decide	VERB
ajis02-1180	115	27	whether	whether	SCONJ
ajis02-1180	115	28	further	further	ADJ
ajis02-1180	115	29	analysis	analysis	NOUN
ajis02-1180	115	30	is	be	AUX
ajis02-1180	115	31	required	require	VERB
ajis02-1180	115	32	for	for	ADP
ajis02-1180	115	33	the	the	DET
ajis02-1180	115	34	s59	s59	ADJ
ajis02-1180	115	35	australasian	australasian	ADJ
ajis02-1180	115	36	journal	journal	NOUN
ajis02-1180	115	37	of	of	ADP
ajis02-1180	115	38	information	information	NOUN
ajis02-1180	115	39	systems	system	NOUN
ajis02-1180	115	40	nathawitharana	nathawitharana	PROPN
ajis02-1180	115	41	,	,	PUNCT
ajis02-1180	115	42	alahakoon	alahakoon	PROPN
ajis02-1180	115	43	&	&	CCONJ
ajis02-1180	115	44	matharage	matharage	NOUN
ajis02-1180	115	45	2015	2015	NUM
ajis02-1180	115	46	,	,	PUNCT
ajis02-1180	115	47	vol	vol	NOUN
ajis02-1180	115	48	.	.	PROPN
ajis02-1180	115	49	19	19	NUM
ajis02-1180	115	50	,	,	PUNCT
ajis02-1180	115	51	pp	pp	PROPN
ajis02-1180	115	52	.	.	PUNCT
ajis02-1180	115	53	s55	s55	PROPN
ajis02-1180	115	54	-	-	PUNCT
ajis02-1180	115	55	s75	s75	NOUN
ajis02-1180	115	56	improving	improve	VERB
ajis02-1180	115	57	decision	decision	NOUN
ajis02-1180	115	58	value	value	NOUN
ajis02-1180	115	59	of	of	ADP
ajis02-1180	115	60	hierarchical	hierarchical	ADJ
ajis02-1180	115	61	text	text	NOUN
ajis02-1180	115	62	phase	phase	NOUN
ajis02-1180	115	63	of	of	ADP
ajis02-1180	115	64	value	value	NOUN
ajis02-1180	115	65	is	be	AUX
ajis02-1180	115	66	calculated	calculate	VERB
ajis02-1180	115	67	for	for	ADP
ajis02-1180	115	68	each	each	DET
ajis02-1180	115	69	cluster	cluster	NOUN
ajis02-1180	115	70	pair	pair	NOUN
ajis02-1180	115	71	and	and	CCONJ
ajis02-1180	115	72	the	the	DET
ajis02-1180	115	73	cluster	cluster	NOUN
ajis02-1180	115	74	pairs	pair	NOUN
ajis02-1180	115	75	which	which	PRON
ajis02-1180	115	76	have	have	VERB
ajis02-1180	115	77	of	of	ADP
ajis02-1180	115	78	greater	great	ADJ
ajis02-1180	115	79	than	than	SCONJ
ajis02-1180	115	80	the	the	DET
ajis02-1180	115	81	ot	ot	NOUN
ajis02-1180	115	82	are	be	AUX
ajis02-1180	115	83	selected	select	VERB
ajis02-1180	115	84	and	and	CCONJ
ajis02-1180	115	85	grouped	group	VERB
ajis02-1180	115	86	for	for	ADP
ajis02-1180	115	87	further	further	ADJ
ajis02-1180	115	88	analysis	analysis	NOUN
ajis02-1180	115	89	.	.	PUNCT
ajis02-1180	116	1	each	each	DET
ajis02-1180	116	2	cluster	cluster	NOUN
ajis02-1180	116	3	in	in	ADP
ajis02-1180	116	4	selected	select	VERB
ajis02-1180	116	5	cluster	cluster	NOUN
ajis02-1180	116	6	pair	pair	NOUN
ajis02-1180	116	7	group	group	NOUN
ajis02-1180	116	8	is	be	AUX
ajis02-1180	116	9	then	then	ADV
ajis02-1180	116	10	compared	compare	VERB
ajis02-1180	116	11	with	with	ADP
ajis02-1180	116	12	other	other	ADJ
ajis02-1180	116	13	selected	select	VERB
ajis02-1180	116	14	cluster	cluster	NOUN
ajis02-1180	116	15	pair	pair	NOUN
ajis02-1180	116	16	groups	group	NOUN
ajis02-1180	116	17	and	and	CCONJ
ajis02-1180	116	18	if	if	SCONJ
ajis02-1180	116	19	same	same	ADJ
ajis02-1180	116	20	cluster	cluster	NOUN
ajis02-1180	116	21	is	be	AUX
ajis02-1180	116	22	found	find	VERB
ajis02-1180	116	23	in	in	ADP
ajis02-1180	116	24	two	two	NUM
ajis02-1180	116	25	cluster	cluster	NOUN
ajis02-1180	116	26	pair	pair	NOUN
ajis02-1180	116	27	groups	group	NOUN
ajis02-1180	116	28	then	then	ADV
ajis02-1180	116	29	they	they	PRON
ajis02-1180	116	30	are	be	AUX
ajis02-1180	116	31	grouped	group	VERB
ajis02-1180	116	32	together	together	ADV
ajis02-1180	116	33	.	.	PUNCT
ajis02-1180	117	1	afterwards	afterwards	ADV
ajis02-1180	117	2	clusters	cluster	NOUN
ajis02-1180	117	3	within	within	ADP
ajis02-1180	117	4	groups	group	NOUN
ajis02-1180	117	5	are	be	AUX
ajis02-1180	117	6	merged	merge	VERB
ajis02-1180	117	7	and	and	CCONJ
ajis02-1180	117	8	selected	select	VERB
ajis02-1180	117	9	for	for	ADP
ajis02-1180	117	10	further	far	ADV
ajis02-1180	117	11	spreading	spread	VERB
ajis02-1180	117	12	.	.	PUNCT
ajis02-1180	118	1	for	for	ADP
ajis02-1180	118	2	each	each	DET
ajis02-1180	118	3	analysis	analysis	NOUN
ajis02-1180	118	4	,	,	PUNCT
ajis02-1180	118	5	value	value	NOUN
ajis02-1180	118	6	for	for	ADP
ajis02-1180	118	7	ot	ot	PROPN
ajis02-1180	118	8	is	be	AUX
ajis02-1180	118	9	predefined	predefine	VERB
ajis02-1180	118	10	and	and	CCONJ
ajis02-1180	118	11	this	this	DET
ajis02-1180	118	12	value	value	NOUN
ajis02-1180	118	13	can	can	AUX
ajis02-1180	118	14	be	be	AUX
ajis02-1180	118	15	consistent	consistent	ADJ
ajis02-1180	118	16	with	with	ADP
ajis02-1180	118	17	hierarchical	hierarchical	ADJ
ajis02-1180	118	18	analysis	analysis	NOUN
ajis02-1180	118	19	or	or	CCONJ
ajis02-1180	118	20	can	can	AUX
ajis02-1180	118	21	be	be	AUX
ajis02-1180	118	22	adjusted	adjust	VERB
ajis02-1180	118	23	to	to	ADP
ajis02-1180	118	24	different	different	ADJ
ajis02-1180	118	25	values	value	NOUN
ajis02-1180	118	26	in	in	ADP
ajis02-1180	118	27	different	different	ADJ
ajis02-1180	118	28	hierarchy	hierarchy	NOUN
ajis02-1180	118	29	levels	level	NOUN
ajis02-1180	118	30	.	.	PUNCT
ajis02-1180	119	1	when	when	SCONJ
ajis02-1180	119	2	higher	high	ADJ
ajis02-1180	119	3	value	value	NOUN
ajis02-1180	119	4	is	be	AUX
ajis02-1180	119	5	selected	select	VERB
ajis02-1180	119	6	for	for	ADP
ajis02-1180	119	7	ot	ot	INTJ
ajis02-1180	119	8	only	only	ADV
ajis02-1180	119	9	few	few	ADJ
ajis02-1180	119	10	clusters	cluster	NOUN
ajis02-1180	119	11	are	be	AUX
ajis02-1180	119	12	selected	select	VERB
ajis02-1180	119	13	for	for	ADP
ajis02-1180	119	14	further	further	ADJ
ajis02-1180	119	15	analysis	analysis	NOUN
ajis02-1180	119	16	whereas	whereas	SCONJ
ajis02-1180	119	17	large	large	ADJ
ajis02-1180	119	18	number	number	NOUN
ajis02-1180	119	19	of	of	ADP
ajis02-1180	119	20	clusters	cluster	NOUN
ajis02-1180	119	21	are	be	AUX
ajis02-1180	119	22	selected	select	VERB
ajis02-1180	119	23	if	if	SCONJ
ajis02-1180	119	24	low	low	ADJ
ajis02-1180	119	25	ot	ot	NOUN
ajis02-1180	119	26	is	be	AUX
ajis02-1180	119	27	selected	select	VERB
ajis02-1180	119	28	.	.	PUNCT
ajis02-1180	120	1	by	by	ADP
ajis02-1180	120	2	varying	vary	VERB
ajis02-1180	120	3	the	the	DET
ajis02-1180	120	4	value	value	NOUN
ajis02-1180	120	5	of	of	ADP
ajis02-1180	120	6	the	the	DET
ajis02-1180	120	7	ot	ot	PROPN
ajis02-1180	120	8	,	,	PUNCT
ajis02-1180	120	9	the	the	DET
ajis02-1180	120	10	data	data	NOUN
ajis02-1180	120	11	analyst	analyst	NOUN
ajis02-1180	120	12	can	can	AUX
ajis02-1180	120	13	control	control	VERB
ajis02-1180	120	14	the	the	DET
ajis02-1180	120	15	number	number	NOUN
ajis02-1180	120	16	of	of	ADP
ajis02-1180	120	17	clusters	cluster	NOUN
ajis02-1180	120	18	which	which	PRON
ajis02-1180	120	19	are	be	AUX
ajis02-1180	120	20	chosen	choose	VERB
ajis02-1180	120	21	for	for	ADP
ajis02-1180	120	22	further	further	ADJ
ajis02-1180	120	23	analysis	analysis	NOUN
ajis02-1180	120	24	.	.	PUNCT
ajis02-1180	121	1	according	accord	VERB
ajis02-1180	121	2	to	to	ADP
ajis02-1180	121	3	the	the	DET
ajis02-1180	121	4	methodology	methodology	NOUN
ajis02-1180	121	5	if	if	SCONJ
ajis02-1180	121	6	cluster	cluster	NOUN
ajis02-1180	121	7	groups	group	NOUN
ajis02-1180	121	8	are	be	AUX
ajis02-1180	121	9	selected	select	VERB
ajis02-1180	121	10	for	for	ADP
ajis02-1180	121	11	further	further	ADJ
ajis02-1180	121	12	analysis	analysis	NOUN
ajis02-1180	121	13	,	,	PUNCT
ajis02-1180	121	14	similar	similar	ADJ
ajis02-1180	121	15	steps	step	NOUN
ajis02-1180	121	16	to	to	ADP
ajis02-1180	121	17	the	the	DET
ajis02-1180	121	18	first	first	ADJ
ajis02-1180	121	19	iteration	iteration	NOUN
ajis02-1180	121	20	will	will	AUX
ajis02-1180	121	21	be	be	AUX
ajis02-1180	121	22	followed	follow	VERB
ajis02-1180	121	23	.	.	PUNCT
ajis02-1180	122	1	during	during	ADP
ajis02-1180	122	2	the	the	DET
ajis02-1180	122	3	execution	execution	NOUN
ajis02-1180	122	4	of	of	ADP
ajis02-1180	122	5	the	the	DET
ajis02-1180	122	6	gsom	gsom	NOUN
ajis02-1180	122	7	,	,	PUNCT
ajis02-1180	122	8	appropriate	appropriate	ADJ
ajis02-1180	122	9	sf	sf	NOUN
ajis02-1180	122	10	value	value	NOUN
ajis02-1180	122	11	can	can	AUX
ajis02-1180	122	12	be	be	AUX
ajis02-1180	122	13	selected	select	VERB
ajis02-1180	122	14	based	base	VERB
ajis02-1180	122	15	on	on	ADP
ajis02-1180	122	16	the	the	DET
ajis02-1180	122	17	level	level	NOUN
ajis02-1180	122	18	of	of	ADP
ajis02-1180	122	19	the	the	DET
ajis02-1180	122	20	hierarchy	hierarchy	NOUN
ajis02-1180	122	21	.	.	PUNCT
ajis02-1180	123	1	this	this	DET
ajis02-1180	123	2	process	process	NOUN
ajis02-1180	123	3	executes	execute	VERB
ajis02-1180	123	4	iteratively	iteratively	ADV
ajis02-1180	123	5	until	until	SCONJ
ajis02-1180	123	6	there	there	PRON
ajis02-1180	123	7	is	be	VERB
ajis02-1180	123	8	no	no	DET
ajis02-1180	123	9	further	further	ADJ
ajis02-1180	123	10	analysis	analysis	NOUN
ajis02-1180	123	11	required	require	VERB
ajis02-1180	123	12	in	in	ADP
ajis02-1180	123	13	the	the	DET
ajis02-1180	123	14	obtained	obtain	VERB
ajis02-1180	123	15	clusters	cluster	NOUN
ajis02-1180	123	16	as	as	ADP
ajis02-1180	123	17	of	of	ADP
ajis02-1180	123	18	calculated	calculate	VERB
ajis02-1180	123	19	for	for	ADP
ajis02-1180	123	20	cluster	cluster	NOUN
ajis02-1180	123	21	pairs	pair	NOUN
ajis02-1180	123	22	is	be	AUX
ajis02-1180	123	23	less	less	ADJ
ajis02-1180	123	24	than	than	ADP
ajis02-1180	123	25	the	the	DET
ajis02-1180	123	26	predefined	predefine	VERB
ajis02-1180	123	27	ot	ot	INTJ
ajis02-1180	123	28	.	.	PUNCT
ajis02-1180	124	1	this	this	DET
ajis02-1180	124	2	approach	approach	NOUN
ajis02-1180	124	3	allows	allow	VERB
ajis02-1180	124	4	hierarchical	hierarchical	ADJ
ajis02-1180	124	5	clustering	clustering	NOUN
ajis02-1180	124	6	of	of	ADP
ajis02-1180	124	7	a	a	DET
ajis02-1180	124	8	text	text	NOUN
ajis02-1180	124	9	document	document	NOUN
ajis02-1180	124	10	collection	collection	NOUN
ajis02-1180	124	11	based	base	VERB
ajis02-1180	124	12	on	on	ADP
ajis02-1180	124	13	term	term	NOUN
ajis02-1180	124	14	overlap	overlap	NOUN
ajis02-1180	124	15	and	and	CCONJ
ajis02-1180	124	16	obtain	obtain	VERB
ajis02-1180	124	17	set	set	NOUN
ajis02-1180	124	18	of	of	ADP
ajis02-1180	124	19	document	document	NOUN
ajis02-1180	124	20	clusters	cluster	NOUN
ajis02-1180	124	21	with	with	ADP
ajis02-1180	124	22	minimum	minimum	ADJ
ajis02-1180	124	23	term	term	NOUN
ajis02-1180	124	24	overlap	overlap	NOUN
ajis02-1180	124	25	.	.	PUNCT
ajis02-1180	125	1	algorithmic	algorithmic	ADJ
ajis02-1180	125	2	form	form	NOUN
ajis02-1180	125	3	of	of	ADP
ajis02-1180	125	4	the	the	DET
ajis02-1180	125	5	process	process	NOUN
ajis02-1180	125	6	is	be	AUX
ajis02-1180	125	7	presented	present	VERB
ajis02-1180	125	8	by	by	ADP
ajis02-1180	125	9	algorithm	algorithm	NOUN
ajis02-1180	125	10	1	1	NUM
ajis02-1180	125	11	.	.	PUNCT
ajis02-1180	126	1	input	input	NOUN
ajis02-1180	126	2	:	:	PUNCT
ajis02-1180	127	1	i	i	PRON
ajis02-1180	127	2	input	input	VERB
ajis02-1180	127	3	text	text	NOUN
ajis02-1180	127	4	document	document	NOUN
ajis02-1180	127	5	collection	collection	NOUN
ajis02-1180	127	6	initialise	initialise	NOUN
ajis02-1180	127	7	sf	sf	NOUN
ajis02-1180	127	8	to	to	ADP
ajis02-1180	127	9	a	a	DET
ajis02-1180	127	10	lower	low	ADJ
ajis02-1180	127	11	value	value	NOUN
ajis02-1180	127	12	initialise	initialise	NOUN
ajis02-1180	127	13	overlap	overlap	NOUN
ajis02-1180	127	14	threshold	threshold	NOUN
ajis02-1180	127	15	ot	ot	NOUN
ajis02-1180	127	16	cluster(i	cluster(i	ADJ
ajis02-1180	127	17	)	)	PUNCT
ajis02-1180	127	18	function	function	NOUN
ajis02-1180	127	19	repeat	repeat	NOUN
ajis02-1180	127	20	select	select	ADJ
ajis02-1180	128	1	d	d	X
ajis02-1180	128	2	=	=	SYM
ajis02-1180	128	3	termset(i	termset(i	PROPN
ajis02-1180	128	4	)	)	PUNCT
ajis02-1180	128	5	based	base	VERB
ajis02-1180	128	6	on	on	ADP
ajis02-1180	128	7	thresholds	threshold	NOUN
ajis02-1180	128	8	i	i	PRON
ajis02-1180	128	9	input	input	VERB
ajis02-1180	128	10	text	text	NOUN
ajis02-1180	128	11	document	document	NOUN
ajis02-1180	128	12	collection	collection	NOUN
ajis02-1180	128	13	generate	generate	VERB
ajis02-1180	128	14	weight	weight	NOUN
ajis02-1180	128	15	matrix	matrix	NOUN
ajis02-1180	128	16	w	w	NOUN
ajis02-1180	128	17	using	use	VERB
ajis02-1180	128	18	tf	tf	PROPN
ajis02-1180	128	19	-	-	PUNCT
ajis02-1180	128	20	idf	idf	PROPN
ajis02-1180	128	21	as	as	ADP
ajis02-1180	128	22	the	the	DET
ajis02-1180	128	23	term	term	NOUN
ajis02-1180	128	24	weighting	weight	VERB
ajis02-1180	128	25	technique	technique	NOUN
ajis02-1180	128	26	feed	feed	NOUN
ajis02-1180	128	27	w	w	NOUN
ajis02-1180	128	28	to	to	PART
ajis02-1180	128	29	gsom	gsom	VERB
ajis02-1180	128	30	g	g	PROPN
ajis02-1180	128	31	with	with	ADP
ajis02-1180	128	32	relevant	relevant	ADJ
ajis02-1180	128	33	sf	sf	NOUN
ajis02-1180	128	34	value	value	NOUN
ajis02-1180	128	35	let	let	VERB
ajis02-1180	128	36	’s	’s	PRON
ajis02-1180	128	37	take	take	VERB
ajis02-1180	128	38	c	c	NOUN
ajis02-1180	128	39	=	=	SYM
ajis02-1180	128	40	clusters(g	clusters(g	PROPN
ajis02-1180	128	41	)	)	PUNCT
ajis02-1180	128	42	for	for	ADP
ajis02-1180	128	43	iteration	iteration	NOUN
ajis02-1180	128	44	i	i	PRON
ajis02-1180	128	45	1	1	NUM
ajis02-1180	128	46	to	to	PART
ajis02-1180	128	47	n	n	PRON
ajis02-1180	128	48	do	do	VERB
ajis02-1180	128	49	n	n	PRON
ajis02-1180	128	50	number	number	NOUN
ajis02-1180	128	51	of	of	ADP
ajis02-1180	128	52	clusters	cluster	NOUN
ajis02-1180	128	53	j	j	PROPN
ajis02-1180	128	54	=	=	SYM
ajis02-1180	128	55	documentset(ci	documentset(ci	PROPN
ajis02-1180	128	56	)	)	PUNCT
ajis02-1180	128	57	assign	assign	VERB
ajis02-1180	128	58	the	the	DET
ajis02-1180	128	59	document	document	NOUN
ajis02-1180	128	60	set	set	NOUN
ajis02-1180	128	61	mapped	map	VERB
ajis02-1180	128	62	into	into	ADP
ajis02-1180	128	63	the	the	DET
ajis02-1180	128	64	cluster	cluster	NOUN
ajis02-1180	128	65	ci	ci	NOUN
ajis02-1180	128	66	as	as	SCONJ
ajis02-1180	128	67	the	the	DET
ajis02-1180	128	68	input	input	NOUN
ajis02-1180	128	69	collection	collection	NOUN
ajis02-1180	128	70	select	select	NOUN
ajis02-1180	128	71	f	f	PROPN
ajis02-1180	128	72	=	=	SYM
ajis02-1180	128	73	toptermset(j	toptermset(j	PROPN
ajis02-1180	128	74	)	)	PUNCT
ajis02-1180	128	75	assign	assign	VERB
ajis02-1180	128	76	the	the	DET
ajis02-1180	128	77	top	top	ADJ
ajis02-1180	128	78	most	most	ADV
ajis02-1180	128	79	n%	n%	NOUN
ajis02-1180	128	80	or	or	CCONJ
ajis02-1180	128	81	n	n	DET
ajis02-1180	128	82	number	number	NOUN
ajis02-1180	128	83	of	of	ADP
ajis02-1180	128	84	terms	term	NOUN
ajis02-1180	128	85	with	with	ADP
ajis02-1180	128	86	highest	high	ADJ
ajis02-1180	128	87	frequency	frequency	NOUN
ajis02-1180	128	88	into	into	ADP
ajis02-1180	128	89	f	f	PROPN
ajis02-1180	128	90	where	where	SCONJ
ajis02-1180	128	91	toptermset(j	toptermset(j	ADJ
ajis02-1180	128	92	)	)	PUNCT
ajis02-1180	128	93	termset(i	termset(i	NOUN
ajis02-1180	128	94	)	)	PUNCT
ajis02-1180	128	95	end	end	VERB
ajis02-1180	128	96	for	for	ADP
ajis02-1180	128	97	for	for	ADP
ajis02-1180	128	98	each	each	DET
ajis02-1180	128	99	cluster	cluster	NOUN
ajis02-1180	128	100	pair	pair	NOUN
ajis02-1180	128	101	x(ci	x(ci	PROPN
ajis02-1180	128	102	,	,	PUNCT
ajis02-1180	128	103	cj	cj	NOUN
ajis02-1180	128	104	)	)	PUNCT
ajis02-1180	128	105	1	1	NUM
ajis02-1180	128	106	to	to	ADP
ajis02-1180	128	107	p	p	X
ajis02-1180	128	108	do	do	AUX
ajis02-1180	128	109	p	p	NOUN
ajis02-1180	128	110	number	number	NOUN
ajis02-1180	128	111	of	of	ADP
ajis02-1180	128	112	distinct	distinct	ADJ
ajis02-1180	128	113	cluster	cluster	NOUN
ajis02-1180	128	114	pairs	pair	NOUN
ajis02-1180	128	115	calculate	calculate	NOUN
ajis02-1180	128	116	of	of	ADP
ajis02-1180	128	117	=	=	NOUN
ajis02-1180	128	118	overlapfactor	overlapfactor	NOUN
ajis02-1180	128	119	(	(	PUNCT
ajis02-1180	128	120	,	,	PUNCT
ajis02-1180	128	121	)	)	PUNCT
ajis02-1180	128	122	if	if	SCONJ
ajis02-1180	128	123	(	(	PUNCT
ajis02-1180	128	124	of	of	ADP
ajis02-1180	128	125	>	>	X
ajis02-1180	128	126	ot	ot	NOUN
ajis02-1180	128	127	)	)	PUNCT
ajis02-1180	128	128	then	then	ADV
ajis02-1180	128	129	ot	ot	INTJ
ajis02-1180	128	130	overlap	overlap	NOUN
ajis02-1180	128	131	threshold	threshold	NOUN
ajis02-1180	128	132	g	g	PROPN
ajis02-1180	128	133	=	=	SYM
ajis02-1180	128	134	x(ci	x(ci	PROPN
ajis02-1180	128	135	,	,	PUNCT
ajis02-1180	128	136	cj	cj	X
ajis02-1180	128	137	)	)	PUNCT
ajis02-1180	128	138	assign	assign	VERB
ajis02-1180	128	139	the	the	DET
ajis02-1180	128	140	overlapping	overlap	VERB
ajis02-1180	128	141	cluster	cluster	NOUN
ajis02-1180	128	142	pair	pair	NOUN
ajis02-1180	128	143	to	to	ADP
ajis02-1180	128	144	group	group	NOUN
ajis02-1180	128	145	g	g	PROPN
ajis02-1180	128	146	end	end	NOUN
ajis02-1180	128	147	if	if	SCONJ
ajis02-1180	128	148	end	end	NOUN
ajis02-1180	128	149	for	for	ADP
ajis02-1180	128	150	for	for	ADP
ajis02-1180	128	151	each	each	DET
ajis02-1180	128	152	cluster	cluster	NOUN
ajis02-1180	128	153	group	group	NOUN
ajis02-1180	128	154	in	in	ADP
ajis02-1180	128	155	g	g	PROPN
ajis02-1180	128	156	,	,	PUNCT
ajis02-1180	128	157	gi	gi	INTJ
ajis02-1180	128	158	do	do	VERB
ajis02-1180	128	159	for	for	ADP
ajis02-1180	128	160	each	each	DET
ajis02-1180	128	161	cluster	cluster	NOUN
ajis02-1180	128	162	group	group	NOUN
ajis02-1180	128	163	in	in	ADP
ajis02-1180	128	164	g	g	PROPN
ajis02-1180	128	165	,	,	PUNCT
ajis02-1180	128	166	gj	gj	INTJ
ajis02-1180	128	167	where	where	SCONJ
ajis02-1180	128	168	(	(	PUNCT
ajis02-1180	128	169	gi	gi	NOUN
ajis02-1180	128	170	gj	gj	NOUN
ajis02-1180	128	171	)	)	PUNCT
ajis02-1180	128	172	do	do	VERB
ajis02-1180	128	173	if	if	SCONJ
ajis02-1180	128	174	ci	ci	PROPN
ajis02-1180	128	175	gj	gj	PROPN
ajis02-1180	128	176	then	then	ADV
ajis02-1180	128	177	check	check	VERB
ajis02-1180	128	178	whether	whether	SCONJ
ajis02-1180	128	179	any	any	PRON
ajis02-1180	128	180	of	of	ADP
ajis02-1180	128	181	the	the	DET
ajis02-1180	128	182	clusters	cluster	NOUN
ajis02-1180	128	183	in	in	ADP
ajis02-1180	128	184	the	the	DET
ajis02-1180	128	185	group	group	NOUN
ajis02-1180	128	186	gi	gi	NOUN
ajis02-1180	128	187	is	be	AUX
ajis02-1180	128	188	similar	similar	ADJ
ajis02-1180	128	189	to	to	ADP
ajis02-1180	128	190	any	any	PRON
ajis02-1180	128	191	of	of	ADP
ajis02-1180	128	192	the	the	DET
ajis02-1180	128	193	clusters	cluster	NOUN
ajis02-1180	128	194	in	in	ADP
ajis02-1180	128	195	the	the	DET
ajis02-1180	128	196	group	group	NOUN
ajis02-1180	128	197	gj	gj	NOUN
ajis02-1180	128	198	set	set	VERB
ajis02-1180	128	199	gi	gi	NOUN
ajis02-1180	128	200	=	=	SYM
ajis02-1180	128	201	merge(gi	merge(gi	PROPN
ajis02-1180	128	202	,	,	PUNCT
ajis02-1180	128	203	gj	gj	PROPN
ajis02-1180	128	204	)	)	PUNCT
ajis02-1180	128	205	merge	merge	VERB
ajis02-1180	128	206	the	the	DET
ajis02-1180	128	207	clusters	cluster	NOUN
ajis02-1180	128	208	in	in	ADP
ajis02-1180	128	209	the	the	DET
ajis02-1180	128	210	groups	group	NOUN
ajis02-1180	128	211	gi	gi	VERB
ajis02-1180	128	212	and	and	CCONJ
ajis02-1180	128	213	gj	gj	VERB
ajis02-1180	128	214	and	and	CCONJ
ajis02-1180	128	215	remove	remove	VERB
ajis02-1180	128	216	gj	gj	PROPN
ajis02-1180	128	217	from	from	ADP
ajis02-1180	128	218	g	g	NOUN
ajis02-1180	128	219	end	end	NOUN
ajis02-1180	128	220	if	if	SCONJ
ajis02-1180	128	221	end	end	NOUN
ajis02-1180	128	222	for	for	ADP
ajis02-1180	128	223	end	end	NOUN
ajis02-1180	128	224	for	for	ADP
ajis02-1180	128	225	s60	s60	NOUN
ajis02-1180	128	226	australasian	australasian	ADJ
ajis02-1180	128	227	journal	journal	NOUN
ajis02-1180	128	228	of	of	ADP
ajis02-1180	128	229	information	information	NOUN
ajis02-1180	128	230	systems	system	NOUN
ajis02-1180	128	231	nathawitharana	nathawitharana	PROPN
ajis02-1180	128	232	,	,	PUNCT
ajis02-1180	128	233	alahakoon	alahakoon	PROPN
ajis02-1180	128	234	&	&	CCONJ
ajis02-1180	128	235	matharage	matharage	NOUN
ajis02-1180	128	236	2015	2015	NUM
ajis02-1180	128	237	,	,	PUNCT
ajis02-1180	128	238	vol	vol	NOUN
ajis02-1180	128	239	.	.	PROPN
ajis02-1180	129	1	19	19	NUM
ajis02-1180	129	2	,	,	PUNCT
ajis02-1180	129	3	pp	pp	PROPN
ajis02-1180	129	4	.	.	PUNCT
ajis02-1180	130	1	s55	s55	PROPN
ajis02-1180	130	2	-	-	PUNCT
ajis02-1180	130	3	s75	s75	NOUN
ajis02-1180	130	4	improving	improve	VERB
ajis02-1180	130	5	decision	decision	NOUN
ajis02-1180	130	6	value	value	NOUN
ajis02-1180	130	7	of	of	ADP
ajis02-1180	130	8	hierarchical	hierarchical	ADJ
ajis02-1180	130	9	text	text	NOUN
ajis02-1180	130	10	for	for	ADP
ajis02-1180	130	11	each	each	DET
ajis02-1180	130	12	cluster	cluster	NOUN
ajis02-1180	130	13	in	in	ADP
ajis02-1180	130	14	g	g	PROPN
ajis02-1180	130	15	do	do	AUX
ajis02-1180	130	16	i	i	NOUN
ajis02-1180	130	17	=	=	SYM
ajis02-1180	130	18	documentset(gi	documentset(gi	PROPN
ajis02-1180	130	19	)	)	PUNCT
ajis02-1180	130	20	assign	assign	VERB
ajis02-1180	130	21	the	the	DET
ajis02-1180	130	22	document	document	NOUN
ajis02-1180	130	23	set	set	NOUN
ajis02-1180	130	24	mapped	map	VERB
ajis02-1180	130	25	into	into	ADP
ajis02-1180	130	26	the	the	DET
ajis02-1180	130	27	cluster	cluster	NOUN
ajis02-1180	130	28	gi	gi	NOUN
ajis02-1180	130	29	as	as	SCONJ
ajis02-1180	130	30	the	the	DET
ajis02-1180	130	31	input	input	NOUN
ajis02-1180	130	32	collection	collection	NOUN
ajis02-1180	130	33	cluster(i	cluster(i	PROPN
ajis02-1180	130	34	)	)	PUNCT
ajis02-1180	130	35	recursively	recursively	ADV
ajis02-1180	130	36	calls	call	VERB
ajis02-1180	130	37	the	the	DET
ajis02-1180	130	38	clustering	clustering	ADJ
ajis02-1180	130	39	function	function	NOUN
ajis02-1180	130	40	.	.	PUNCT
ajis02-1180	131	1	sf	sf	NOUN
ajis02-1180	131	2	value	value	NOUN
ajis02-1180	131	3	should	should	AUX
ajis02-1180	131	4	be	be	AUX
ajis02-1180	131	5	increased	increase	VERB
ajis02-1180	131	6	based	base	VERB
ajis02-1180	131	7	on	on	ADP
ajis02-1180	131	8	the	the	DET
ajis02-1180	131	9	level	level	NOUN
ajis02-1180	131	10	of	of	ADP
ajis02-1180	131	11	the	the	DET
ajis02-1180	131	12	hierarchy	hierarchy	NOUN
ajis02-1180	131	13	end	end	VERB
ajis02-1180	131	14	for	for	ADP
ajis02-1180	131	15	until	until	SCONJ
ajis02-1180	131	16	overlap	overlap	NOUN
ajis02-1180	131	17	factor	factor	NOUN
ajis02-1180	131	18	value	value	NOUN
ajis02-1180	131	19	for	for	ADP
ajis02-1180	131	20	each	each	DET
ajis02-1180	131	21	obtained	obtain	VERB
ajis02-1180	131	22	cluster	cluster	NOUN
ajis02-1180	131	23	pair	pair	NOUN
ajis02-1180	131	24	is	be	AUX
ajis02-1180	131	25	lower	low	ADJ
ajis02-1180	131	26	than	than	ADP
ajis02-1180	131	27	the	the	DET
ajis02-1180	131	28	predefined	predefine	VERB
ajis02-1180	131	29	overlap	overlap	NOUN
ajis02-1180	131	30	threshold	threshold	NOUN
ajis02-1180	131	31	algorithm	algorithm	NOUN
ajis02-1180	131	32	1	1	NUM
ajis02-1180	131	33	:	:	PUNCT
ajis02-1180	131	34	the	the	DET
ajis02-1180	131	35	gsom	gsom	NOUN
ajis02-1180	131	36	and	and	CCONJ
ajis02-1180	131	37	term	term	NOUN
ajis02-1180	131	38	overlap	overlap	NOUN
ajis02-1180	131	39	based	base	VERB
ajis02-1180	131	40	hierarchical	hierarchical	ADJ
ajis02-1180	131	41	text	text	NOUN
ajis02-1180	131	42	clustering	clustering	ADJ
ajis02-1180	131	43	algorithm	algorithm	NOUN
ajis02-1180	131	44	4	4	NUM
ajis02-1180	131	45	experimental	experimental	ADJ
ajis02-1180	131	46	results	result	NOUN
ajis02-1180	131	47	4.1	4.1	NUM
ajis02-1180	131	48	dataset	dataset	VERB
ajis02-1180	131	49	a	a	DET
ajis02-1180	131	50	benchmark	benchmark	NOUN
ajis02-1180	131	51	dataset	dataset	NOUN
ajis02-1180	131	52	known	know	VERB
ajis02-1180	131	53	as	as	ADP
ajis02-1180	131	54	‘	'	PUNCT
ajis02-1180	131	55	banksearch	banksearch	NOUN
ajis02-1180	131	56	dataset	dataset	NOUN
ajis02-1180	131	57	’	'	PUNCT
ajis02-1180	131	58	(	(	PUNCT
ajis02-1180	131	59	sinka	sinka	NOUN
ajis02-1180	131	60	and	and	CCONJ
ajis02-1180	131	61	corne	corne	ADJ
ajis02-1180	131	62	2005	2005	NUM
ajis02-1180	131	63	)	)	PUNCT
ajis02-1180	131	64	which	which	PRON
ajis02-1180	131	65	was	be	AUX
ajis02-1180	131	66	used	use	VERB
ajis02-1180	131	67	in	in	ADP
ajis02-1180	131	68	many	many	ADJ
ajis02-1180	131	69	document	document	NOUN
ajis02-1180	131	70	clustering	cluster	VERB
ajis02-1180	131	71	experiments	experiment	NOUN
ajis02-1180	131	72	(	(	PUNCT
ajis02-1180	131	73	borgelt	borgelt	NOUN
ajis02-1180	131	74	and	and	CCONJ
ajis02-1180	131	75	nürnberger	nürnberger	ADJ
ajis02-1180	131	76	2004	2004	NUM
ajis02-1180	131	77	;	;	PUNCT
ajis02-1180	131	78	d’hondt	d’hondt	PROPN
ajis02-1180	131	79	et	et	NOUN
ajis02-1180	131	80	al	al	PROPN
ajis02-1180	131	81	.	.	PROPN
ajis02-1180	131	82	2010	2010	NUM
ajis02-1180	131	83	)	)	PUNCT
ajis02-1180	131	84	is	be	AUX
ajis02-1180	131	85	used	use	VERB
ajis02-1180	131	86	for	for	ADP
ajis02-1180	131	87	experiments	experiment	NOUN
ajis02-1180	131	88	.	.	PUNCT
ajis02-1180	132	1	the	the	DET
ajis02-1180	132	2	banksearch	banksearch	NOUN
ajis02-1180	132	3	dataset	dataset	NOUN
ajis02-1180	132	4	was	be	AUX
ajis02-1180	132	5	formed	form	VERB
ajis02-1180	132	6	using	use	VERB
ajis02-1180	132	7	web	web	NOUN
ajis02-1180	132	8	pages	page	NOUN
ajis02-1180	132	9	and	and	CCONJ
ajis02-1180	132	10	contains	contain	VERB
ajis02-1180	132	11	11	11	NUM
ajis02-1180	132	12	document	document	NOUN
ajis02-1180	132	13	categories	category	NOUN
ajis02-1180	132	14	with	with	ADP
ajis02-1180	132	15	each	each	DET
ajis02-1180	132	16	category	category	NOUN
ajis02-1180	132	17	containing	contain	VERB
ajis02-1180	132	18	1000	1000	NUM
ajis02-1180	132	19	documents	document	NOUN
ajis02-1180	132	20	.	.	PUNCT
ajis02-1180	133	1	the	the	DET
ajis02-1180	133	2	dataset	dataset	NOUN
ajis02-1180	133	3	includes	include	VERB
ajis02-1180	133	4	distant	distant	ADJ
ajis02-1180	133	5	categories	category	NOUN
ajis02-1180	133	6	which	which	PRON
ajis02-1180	133	7	are	be	AUX
ajis02-1180	133	8	associated	associate	VERB
ajis02-1180	133	9	with	with	ADP
ajis02-1180	133	10	different	different	ADJ
ajis02-1180	133	11	themes	theme	NOUN
ajis02-1180	133	12	and	and	CCONJ
ajis02-1180	133	13	close	close	ADJ
ajis02-1180	133	14	categories	category	NOUN
ajis02-1180	133	15	which	which	PRON
ajis02-1180	133	16	are	be	AUX
ajis02-1180	133	17	associated	associate	VERB
ajis02-1180	133	18	with	with	ADP
ajis02-1180	133	19	the	the	DET
ajis02-1180	133	20	same	same	ADJ
ajis02-1180	133	21	theme	theme	NOUN
ajis02-1180	133	22	according	accord	VERB
ajis02-1180	133	23	to	to	ADP
ajis02-1180	133	24	human	human	ADJ
ajis02-1180	133	25	categorization	categorization	NOUN
ajis02-1180	133	26	.	.	PUNCT
ajis02-1180	134	1	distant	distant	ADJ
ajis02-1180	134	2	and	and	CCONJ
ajis02-1180	134	3	close	close	ADJ
ajis02-1180	134	4	groups	group	NOUN
ajis02-1180	134	5	exist	exist	VERB
ajis02-1180	134	6	within	within	ADP
ajis02-1180	134	7	the	the	DET
ajis02-1180	134	8	dataset	dataset	NOUN
ajis02-1180	134	9	facilitate	facilitate	NOUN
ajis02-1180	134	10	performing	perform	VERB
ajis02-1180	134	11	autonomous	autonomous	ADJ
ajis02-1180	134	12	clustering	clustering	ADJ
ajis02-1180	134	13	experiments	experiment	NOUN
ajis02-1180	134	14	for	for	ADP
ajis02-1180	134	15	close	close	ADJ
ajis02-1180	134	16	and	and	CCONJ
ajis02-1180	134	17	distant	distant	ADJ
ajis02-1180	134	18	categories	category	NOUN
ajis02-1180	134	19	separately	separately	ADV
ajis02-1180	134	20	.	.	PUNCT
ajis02-1180	135	1	in	in	ADP
ajis02-1180	135	2	addition	addition	NOUN
ajis02-1180	135	3	one	one	NUM
ajis02-1180	135	4	category	category	NOUN
ajis02-1180	135	5	which	which	PRON
ajis02-1180	135	6	is	be	AUX
ajis02-1180	135	7	‘	'	PUNCT
ajis02-1180	135	8	sport	sport	NOUN
ajis02-1180	135	9	’	'	PUNCT
ajis02-1180	135	10	is	be	AUX
ajis02-1180	135	11	added	add	VERB
ajis02-1180	135	12	as	as	ADP
ajis02-1180	135	13	parent	parent	NOUN
ajis02-1180	135	14	for	for	ADP
ajis02-1180	135	15	‘	'	PUNCT
ajis02-1180	135	16	soccer	soccer	NOUN
ajis02-1180	135	17	’	'	PUNCT
ajis02-1180	135	18	and	and	CCONJ
ajis02-1180	135	19	‘	'	PUNCT
ajis02-1180	135	20	motor	motor	NOUN
ajis02-1180	135	21	sport	sport	NOUN
ajis02-1180	135	22	’	'	PUNCT
ajis02-1180	135	23	categories	category	NOUN
ajis02-1180	135	24	to	to	PART
ajis02-1180	135	25	facilitate	facilitate	VERB
ajis02-1180	135	26	hierarchical	hierarchical	ADJ
ajis02-1180	135	27	clustering	clustering	NOUN
ajis02-1180	135	28	.	.	PUNCT
ajis02-1180	136	1	dataset	dataset	PROPN
ajis02-1180	136	2	i	i	PROPN
ajis02-1180	136	3	d	d	PROPN
ajis02-1180	136	4	dataset	dataset	NOUN
ajis02-1180	136	5	category	category	NOUN
ajis02-1180	136	6	associated	associate	VERB
ajis02-1180	136	7	theme	theme	NOUN
ajis02-1180	136	8	a	a	DET
ajis02-1180	136	9	commercial	commercial	ADJ
ajis02-1180	136	10	banks	bank	NOUN
ajis02-1180	136	11	banking	banking	NOUN
ajis02-1180	136	12	and	and	CCONJ
ajis02-1180	136	13	finance	finance	PROPN
ajis02-1180	136	14	b	b	PROPN
ajis02-1180	136	15	building	building	NOUN
ajis02-1180	136	16	societies	society	NOUN
ajis02-1180	136	17	banking	banking	NOUN
ajis02-1180	136	18	and	and	CCONJ
ajis02-1180	136	19	finance	finance	NOUN
ajis02-1180	136	20	c	c	PROPN
ajis02-1180	136	21	insurance	insurance	NOUN
ajis02-1180	136	22	agencies	agency	NOUN
ajis02-1180	136	23	banking	banking	NOUN
ajis02-1180	136	24	and	and	CCONJ
ajis02-1180	136	25	finance	finance	PROPN
ajis02-1180	136	26	d	d	PROPN
ajis02-1180	136	27	java	java	NOUN
ajis02-1180	136	28	programming	programming	NOUN
ajis02-1180	136	29	languages	language	NOUN
ajis02-1180	136	30	e	e	X
ajis02-1180	136	31	c	c	X
ajis02-1180	136	32	/	/	SYM
ajis02-1180	136	33	c++	c++	NOUN
ajis02-1180	136	34	programming	programming	NOUN
ajis02-1180	136	35	languages	language	NOUN
ajis02-1180	136	36	f	f	PROPN
ajis02-1180	136	37	visual	visual	ADJ
ajis02-1180	136	38	basic	basic	ADJ
ajis02-1180	136	39	programming	programming	NOUN
ajis02-1180	136	40	languages	language	NOUN
ajis02-1180	136	41	g	g	PROPN
ajis02-1180	136	42	astronomy	astronomy	NOUN
ajis02-1180	136	43	science	science	NOUN
ajis02-1180	136	44	h	h	NOUN
ajis02-1180	136	45	biology	biology	NOUN
ajis02-1180	136	46	science	science	NOUN
ajis02-1180	136	47	i	i	PRON
ajis02-1180	136	48	soccer	soccer	VERB
ajis02-1180	136	49	sport	sport	PROPN
ajis02-1180	136	50	j	j	PROPN
ajis02-1180	136	51	motor	motor	PROPN
ajis02-1180	136	52	sport	sport	PROPN
ajis02-1180	136	53	sport	sport	PROPN
ajis02-1180	136	54	k	k	PROPN
ajis02-1180	136	55	sport	sport	PROPN
ajis02-1180	136	56	sport	sport	NOUN
ajis02-1180	136	57	table	table	NOUN
ajis02-1180	136	58	1	1	NUM
ajis02-1180	136	59	:	:	PUNCT
ajis02-1180	136	60	data	datum	NOUN
ajis02-1180	136	61	set	set	VERB
ajis02-1180	136	62	categories	category	NOUN
ajis02-1180	136	63	and	and	CCONJ
ajis02-1180	136	64	associated	associate	VERB
ajis02-1180	136	65	themes	theme	NOUN
ajis02-1180	136	66	in	in	ADP
ajis02-1180	136	67	banksearch	banksearch	NOUN
ajis02-1180	136	68	data	datum	NOUN
ajis02-1180	136	69	set	set	VERB
ajis02-1180	136	70	(	(	PUNCT
ajis02-1180	136	71	sinka	sinka	NOUN
ajis02-1180	136	72	and	and	CCONJ
ajis02-1180	136	73	corne	corne	ADJ
ajis02-1180	136	74	2005	2005	NUM
ajis02-1180	136	75	)	)	PUNCT
ajis02-1180	136	76	4.2	4.2	NUM
ajis02-1180	136	77	investigate	investigate	VERB
ajis02-1180	136	78	the	the	DET
ajis02-1180	136	79	effect	effect	NOUN
ajis02-1180	136	80	of	of	ADP
ajis02-1180	136	81	overlap	overlap	NOUN
ajis02-1180	136	82	factor	factor	NOUN
ajis02-1180	136	83	for	for	ADP
ajis02-1180	136	84	hierarchical	hierarchical	ADJ
ajis02-1180	136	85	clustering	clustering	NOUN
ajis02-1180	136	86	with	with	ADP
ajis02-1180	136	87	the	the	DET
ajis02-1180	136	88	gsom	gsom	NOUN
ajis02-1180	136	89	the	the	DET
ajis02-1180	136	90	main	main	ADJ
ajis02-1180	136	91	objective	objective	NOUN
ajis02-1180	136	92	of	of	ADP
ajis02-1180	136	93	the	the	DET
ajis02-1180	136	94	experiment	experiment	NOUN
ajis02-1180	136	95	was	be	AUX
ajis02-1180	136	96	to	to	PART
ajis02-1180	136	97	identify	identify	VERB
ajis02-1180	136	98	the	the	DET
ajis02-1180	136	99	impact	impact	NOUN
ajis02-1180	136	100	of	of	ADP
ajis02-1180	136	101	term	term	NOUN
ajis02-1180	136	102	overlap	overlap	NOUN
ajis02-1180	136	103	for	for	ADP
ajis02-1180	136	104	hierarchical	hierarchical	ADJ
ajis02-1180	136	105	analysis	analysis	NOUN
ajis02-1180	136	106	of	of	ADP
ajis02-1180	136	107	text	text	NOUN
ajis02-1180	136	108	documents	document	NOUN
ajis02-1180	136	109	.	.	PUNCT
ajis02-1180	137	1	the	the	DET
ajis02-1180	137	2	experiments	experiment	NOUN
ajis02-1180	137	3	were	be	AUX
ajis02-1180	137	4	conducted	conduct	VERB
ajis02-1180	137	5	for	for	ADP
ajis02-1180	137	6	two	two	NUM
ajis02-1180	137	7	distant	distant	ADJ
ajis02-1180	137	8	categories	category	NOUN
ajis02-1180	137	9	,	,	PUNCT
ajis02-1180	137	10	two	two	NUM
ajis02-1180	137	11	close	close	ADJ
ajis02-1180	137	12	categories	category	NOUN
ajis02-1180	137	13	and	and	CCONJ
ajis02-1180	137	14	mixture	mixture	NOUN
ajis02-1180	137	15	of	of	ADP
ajis02-1180	137	16	distant	distant	ADJ
ajis02-1180	137	17	and	and	CCONJ
ajis02-1180	137	18	close	close	ADJ
ajis02-1180	137	19	categories	category	NOUN
ajis02-1180	137	20	which	which	PRON
ajis02-1180	137	21	were	be	AUX
ajis02-1180	137	22	selected	select	VERB
ajis02-1180	137	23	from	from	ADP
ajis02-1180	137	24	the	the	DET
ajis02-1180	137	25	above	above	ADJ
ajis02-1180	137	26	mentioned	mention	VERB
ajis02-1180	137	27	dataset	dataset	NOUN
ajis02-1180	137	28	(	(	PUNCT
ajis02-1180	137	29	sinka	sinka	NOUN
ajis02-1180	137	30	and	and	CCONJ
ajis02-1180	137	31	corne	corne	ADJ
ajis02-1180	137	32	2005	2005	NUM
ajis02-1180	137	33	)	)	PUNCT
ajis02-1180	137	34	.	.	PUNCT
ajis02-1180	138	1	during	during	ADP
ajis02-1180	138	2	the	the	DET
ajis02-1180	138	3	experiments	experiment	NOUN
ajis02-1180	138	4	how	how	SCONJ
ajis02-1180	138	5	documents	document	NOUN
ajis02-1180	138	6	are	be	AUX
ajis02-1180	138	7	structured	structure	VERB
ajis02-1180	138	8	hierarchically	hierarchically	ADV
ajis02-1180	138	9	based	base	VERB
ajis02-1180	138	10	on	on	ADP
ajis02-1180	138	11	term	term	NOUN
ajis02-1180	138	12	similarity	similarity	NOUN
ajis02-1180	138	13	was	be	AUX
ajis02-1180	138	14	investigated	investigate	VERB
ajis02-1180	138	15	.	.	PUNCT
ajis02-1180	139	1	steps	step	NOUN
ajis02-1180	139	2	in	in	ADP
ajis02-1180	139	3	the	the	DET
ajis02-1180	139	4	proposed	propose	VERB
ajis02-1180	139	5	methodology	methodology	NOUN
ajis02-1180	139	6	were	be	AUX
ajis02-1180	139	7	followed	follow	VERB
ajis02-1180	139	8	to	to	PART
ajis02-1180	139	9	obtain	obtain	VERB
ajis02-1180	139	10	the	the	DET
ajis02-1180	139	11	output	output	NOUN
ajis02-1180	139	12	clusters	cluster	NOUN
ajis02-1180	139	13	and	and	CCONJ
ajis02-1180	139	14	document	document	NOUN
ajis02-1180	139	15	pre	pre	ADJ
ajis02-1180	139	16	-	-	ADJ
ajis02-1180	139	17	processing	processing	NOUN
ajis02-1180	139	18	was	be	AUX
ajis02-1180	139	19	carried	carry	VERB
ajis02-1180	139	20	out	out	ADP
ajis02-1180	139	21	as	as	ADP
ajis02-1180	139	22	the	the	DET
ajis02-1180	139	23	first	first	ADJ
ajis02-1180	139	24	step	step	NOUN
ajis02-1180	139	25	.	.	PUNCT
ajis02-1180	140	1	first	first	ADJ
ajis02-1180	140	2	web	web	NOUN
ajis02-1180	140	3	documents	document	NOUN
ajis02-1180	140	4	were	be	AUX
ajis02-1180	140	5	converted	convert	VERB
ajis02-1180	140	6	to	to	ADP
ajis02-1180	140	7	plain	plain	ADJ
ajis02-1180	140	8	text	text	NOUN
ajis02-1180	140	9	documents	document	NOUN
ajis02-1180	140	10	removing	remove	VERB
ajis02-1180	140	11	the	the	DET
ajis02-1180	140	12	tags	tag	NOUN
ajis02-1180	140	13	used	use	VERB
ajis02-1180	140	14	for	for	ADP
ajis02-1180	140	15	web	web	NOUN
ajis02-1180	140	16	page	page	NOUN
ajis02-1180	140	17	design	design	NOUN
ajis02-1180	140	18	.	.	PUNCT
ajis02-1180	141	1	afterwards	afterwards	ADV
ajis02-1180	141	2	stop	stop	VERB
ajis02-1180	141	3	words	word	NOUN
ajis02-1180	141	4	and	and	CCONJ
ajis02-1180	141	5	special	special	ADJ
ajis02-1180	141	6	characters	character	NOUN
ajis02-1180	141	7	were	be	AUX
ajis02-1180	141	8	removed	remove	VERB
ajis02-1180	141	9	and	and	CCONJ
ajis02-1180	141	10	porter	porter	NOUN
ajis02-1180	141	11	’s	’s	PART
ajis02-1180	141	12	stemming	stem	VERB
ajis02-1180	141	13	algorithm	algorithm	NOUN
ajis02-1180	141	14	(	(	PUNCT
ajis02-1180	141	15	porter	porter	NOUN
ajis02-1180	141	16	1980	1980	NUM
ajis02-1180	141	17	)	)	PUNCT
ajis02-1180	141	18	was	be	AUX
ajis02-1180	141	19	applied	apply	VERB
ajis02-1180	141	20	to	to	ADP
ajis02-1180	141	21	the	the	DET
ajis02-1180	141	22	s61	s61	ADJ
ajis02-1180	141	23	australasian	australasian	ADJ
ajis02-1180	141	24	journal	journal	NOUN
ajis02-1180	141	25	of	of	ADP
ajis02-1180	141	26	information	information	NOUN
ajis02-1180	141	27	systems	system	NOUN
ajis02-1180	141	28	nathawitharana	nathawitharana	PROPN
ajis02-1180	141	29	,	,	PUNCT
ajis02-1180	141	30	alahakoon	alahakoon	PROPN
ajis02-1180	141	31	&	&	CCONJ
ajis02-1180	141	32	matharage	matharage	NOUN
ajis02-1180	141	33	2015	2015	NUM
ajis02-1180	141	34	,	,	PUNCT
ajis02-1180	141	35	vol	vol	NOUN
ajis02-1180	141	36	.	.	PROPN
ajis02-1180	142	1	19	19	NUM
ajis02-1180	142	2	,	,	PUNCT
ajis02-1180	142	3	pp	pp	PROPN
ajis02-1180	142	4	.	.	PUNCT
ajis02-1180	143	1	s55	s55	PROPN
ajis02-1180	143	2	-	-	PUNCT
ajis02-1180	143	3	s75	s75	NOUN
ajis02-1180	143	4	improving	improve	VERB
ajis02-1180	143	5	decision	decision	NOUN
ajis02-1180	143	6	value	value	NOUN
ajis02-1180	143	7	of	of	ADP
ajis02-1180	143	8	hierarchical	hierarchical	ADJ
ajis02-1180	143	9	text	text	NOUN
ajis02-1180	143	10	document	document	NOUN
ajis02-1180	143	11	set	set	NOUN
ajis02-1180	143	12	.	.	PUNCT
ajis02-1180	144	1	lower	low	ADJ
ajis02-1180	144	2	threshold	threshold	NOUN
ajis02-1180	144	3	of	of	ADP
ajis02-1180	144	4	2	2	NUM
ajis02-1180	144	5	%	%	NOUN
ajis02-1180	144	6	and	and	CCONJ
ajis02-1180	144	7	upper	upper	ADJ
ajis02-1180	144	8	threshold	threshold	NOUN
ajis02-1180	144	9	of	of	ADP
ajis02-1180	144	10	50	50	NUM
ajis02-1180	144	11	%	%	NOUN
ajis02-1180	144	12	were	be	AUX
ajis02-1180	144	13	selected	select	VERB
ajis02-1180	144	14	for	for	ADP
ajis02-1180	144	15	thresholding	thresholding	NOUN
ajis02-1180	144	16	and	and	CCONJ
ajis02-1180	144	17	only	only	ADV
ajis02-1180	144	18	the	the	DET
ajis02-1180	144	19	terms	term	NOUN
ajis02-1180	144	20	which	which	PRON
ajis02-1180	144	21	had	have	VERB
ajis02-1180	144	22	frequency	frequency	NOUN
ajis02-1180	144	23	in	in	ADP
ajis02-1180	144	24	between	between	ADP
ajis02-1180	144	25	were	be	AUX
ajis02-1180	144	26	selected	select	VERB
ajis02-1180	144	27	.	.	PUNCT
ajis02-1180	145	1	after	after	ADP
ajis02-1180	145	2	extracting	extract	VERB
ajis02-1180	145	3	the	the	DET
ajis02-1180	145	4	terms	term	NOUN
ajis02-1180	145	5	,	,	PUNCT
ajis02-1180	145	6	term	term	NOUN
ajis02-1180	145	7	vectors	vector	NOUN
ajis02-1180	145	8	were	be	AUX
ajis02-1180	145	9	prepared	prepare	VERB
ajis02-1180	145	10	using	use	VERB
ajis02-1180	145	11	tf	tf	PROPN
ajis02-1180	145	12	-	-	PUNCT
ajis02-1180	145	13	idf	idf	PROPN
ajis02-1180	145	14	.	.	PUNCT
ajis02-1180	146	1	for	for	ADP
ajis02-1180	146	2	the	the	DET
ajis02-1180	146	3	first	first	ADJ
ajis02-1180	146	4	level	level	NOUN
ajis02-1180	146	5	of	of	ADP
ajis02-1180	146	6	the	the	DET
ajis02-1180	146	7	hierarchy	hierarchy	NOUN
ajis02-1180	146	8	we	we	PRON
ajis02-1180	146	9	have	have	AUX
ajis02-1180	146	10	used	use	VERB
ajis02-1180	146	11	sf	sf	PROPN
ajis02-1180	146	12	value	value	NOUN
ajis02-1180	146	13	of	of	ADP
ajis02-1180	146	14	0.1	0.1	NUM
ajis02-1180	146	15	and	and	CCONJ
ajis02-1180	146	16	the	the	DET
ajis02-1180	146	17	term	term	NOUN
ajis02-1180	146	18	vectors	vector	NOUN
ajis02-1180	146	19	were	be	AUX
ajis02-1180	146	20	directed	direct	VERB
ajis02-1180	146	21	to	to	ADP
ajis02-1180	146	22	the	the	DET
ajis02-1180	146	23	gsom	gsom	PROPN
ajis02-1180	146	24	algorithm	algorithm	NOUN
ajis02-1180	146	25	.	.	PUNCT
ajis02-1180	147	1	a	a	DET
ajis02-1180	147	2	learning	learn	VERB
ajis02-1180	147	3	rate	rate	NOUN
ajis02-1180	147	4	of	of	ADP
ajis02-1180	147	5	0.05	0.05	NUM
ajis02-1180	147	6	with	with	ADP
ajis02-1180	147	7	50	50	NUM
ajis02-1180	147	8	training	training	NOUN
ajis02-1180	147	9	iterations	iteration	NOUN
ajis02-1180	147	10	and	and	CCONJ
ajis02-1180	147	11	100	100	NUM
ajis02-1180	147	12	smoothing	smooth	VERB
ajis02-1180	147	13	iterations	iteration	NOUN
ajis02-1180	147	14	were	be	AUX
ajis02-1180	147	15	used	use	VERB
ajis02-1180	147	16	as	as	ADP
ajis02-1180	147	17	the	the	DET
ajis02-1180	147	18	gsom	gsom	PROPN
ajis02-1180	147	19	parameters	parameter	NOUN
ajis02-1180	147	20	.	.	PUNCT
ajis02-1180	148	1	the	the	DET
ajis02-1180	148	2	nodes	node	NOUN
ajis02-1180	148	3	generated	generate	VERB
ajis02-1180	148	4	by	by	ADP
ajis02-1180	148	5	the	the	DET
ajis02-1180	148	6	gsom	gsom	PROPN
ajis02-1180	148	7	algorithm	algorithm	NOUN
ajis02-1180	148	8	were	be	AUX
ajis02-1180	148	9	separated	separate	VERB
ajis02-1180	148	10	into	into	ADP
ajis02-1180	148	11	clusters	cluster	NOUN
ajis02-1180	148	12	by	by	ADP
ajis02-1180	148	13	using	use	VERB
ajis02-1180	148	14	the	the	DET
ajis02-1180	148	15	k	k	NOUN
ajis02-1180	148	16	-	-	PUNCT
ajis02-1180	148	17	means	mean	NOUN
ajis02-1180	148	18	and	and	CCONJ
ajis02-1180	148	19	db	db	PROPN
ajis02-1180	148	20	index	index	NOUN
ajis02-1180	148	21	based	base	VERB
ajis02-1180	148	22	algorithm	algorithm	NOUN
ajis02-1180	148	23	.	.	PUNCT
ajis02-1180	149	1	during	during	ADP
ajis02-1180	149	2	cluster	cluster	NOUN
ajis02-1180	149	3	separation	separation	NOUN
ajis02-1180	149	4	we	we	PRON
ajis02-1180	149	5	have	have	AUX
ajis02-1180	149	6	executed	execute	VERB
ajis02-1180	149	7	k	k	ADJ
ajis02-1180	149	8	-	-	PUNCT
ajis02-1180	149	9	means	means	NOUN
ajis02-1180	149	10	algorithm	algorithm	NOUN
ajis02-1180	149	11	for	for	ADP
ajis02-1180	149	12	k	k	PROPN
ajis02-1180	149	13	=	=	SYM
ajis02-1180	149	14	2	2	NUM
ajis02-1180	149	15	to	to	ADP
ajis02-1180	149	16	k	k	NOUN
ajis02-1180	149	17	=	=	PUNCT
ajis02-1180	149	18	where	where	SCONJ
ajis02-1180	149	19	n	n	PRON
ajis02-1180	149	20	was	be	AUX
ajis02-1180	149	21	the	the	DET
ajis02-1180	149	22	total	total	ADJ
ajis02-1180	149	23	number	number	NOUN
ajis02-1180	149	24	of	of	ADP
ajis02-1180	149	25	hit	hit	NOUN
ajis02-1180	149	26	nodes	node	NOUN
ajis02-1180	149	27	.	.	PUNCT
ajis02-1180	150	1	in	in	ADP
ajis02-1180	150	2	addition	addition	NOUN
ajis02-1180	150	3	we	we	PRON
ajis02-1180	150	4	observed	observe	VERB
ajis02-1180	150	5	that	that	SCONJ
ajis02-1180	150	6	for	for	ADP
ajis02-1180	150	7	text	text	NOUN
ajis02-1180	150	8	clustering	cluster	VERB
ajis02-1180	150	9	more	more	ADV
ajis02-1180	150	10	accurate	accurate	ADJ
ajis02-1180	150	11	k	k	NOUN
ajis02-1180	150	12	-	-	PUNCT
ajis02-1180	150	13	means	means	NOUN
ajis02-1180	150	14	results	result	NOUN
ajis02-1180	150	15	were	be	AUX
ajis02-1180	150	16	obtained	obtain	VERB
ajis02-1180	150	17	when	when	SCONJ
ajis02-1180	150	18	most	most	ADJ
ajis02-1180	150	19	hit	hit	VERB
ajis02-1180	150	20	nodes	node	NOUN
ajis02-1180	150	21	were	be	AUX
ajis02-1180	150	22	used	use	VERB
ajis02-1180	150	23	as	as	ADP
ajis02-1180	150	24	cluster	cluster	NOUN
ajis02-1180	150	25	centroids	centroid	NOUN
ajis02-1180	150	26	instead	instead	ADV
ajis02-1180	150	27	of	of	ADP
ajis02-1180	150	28	random	random	ADJ
ajis02-1180	150	29	initialization	initialization	NOUN
ajis02-1180	150	30	.	.	PUNCT
ajis02-1180	151	1	because	because	SCONJ
ajis02-1180	151	2	of	of	ADP
ajis02-1180	151	3	that	that	PRON
ajis02-1180	151	4	when	when	SCONJ
ajis02-1180	151	5	running	run	VERB
ajis02-1180	151	6	the	the	DET
ajis02-1180	151	7	k	k	NOUN
ajis02-1180	151	8	-	-	PUNCT
ajis02-1180	151	9	means	mean	NOUN
ajis02-1180	151	10	and	and	CCONJ
ajis02-1180	151	11	db	db	PROPN
ajis02-1180	151	12	index	index	NOUN
ajis02-1180	151	13	based	base	VERB
ajis02-1180	151	14	automatic	automatic	ADJ
ajis02-1180	151	15	cluster	cluster	NOUN
ajis02-1180	151	16	separation	separation	NOUN
ajis02-1180	151	17	algorithm	algorithm	NOUN
ajis02-1180	151	18	weight	weight	NOUN
ajis02-1180	151	19	vectors	vector	NOUN
ajis02-1180	151	20	of	of	ADP
ajis02-1180	151	21	the	the	DET
ajis02-1180	151	22	most	most	ADV
ajis02-1180	151	23	hit	hit	VERB
ajis02-1180	151	24	nodes	node	NOUN
ajis02-1180	151	25	were	be	AUX
ajis02-1180	151	26	used	use	VERB
ajis02-1180	151	27	as	as	ADP
ajis02-1180	151	28	the	the	DET
ajis02-1180	151	29	cluster	cluster	NOUN
ajis02-1180	151	30	centroids	centroid	NOUN
ajis02-1180	151	31	.	.	PUNCT
ajis02-1180	152	1	following	follow	VERB
ajis02-1180	152	2	sections	section	NOUN
ajis02-1180	152	3	provide	provide	VERB
ajis02-1180	152	4	details	detail	NOUN
ajis02-1180	152	5	of	of	ADP
ajis02-1180	152	6	the	the	DET
ajis02-1180	152	7	experiment	experiment	NOUN
ajis02-1180	152	8	results	result	NOUN
ajis02-1180	152	9	for	for	ADP
ajis02-1180	152	10	selected	select	VERB
ajis02-1180	152	11	document	document	NOUN
ajis02-1180	152	12	categories	category	NOUN
ajis02-1180	152	13	.	.	PUNCT
ajis02-1180	153	1	under	under	ADP
ajis02-1180	153	2	each	each	DET
ajis02-1180	153	3	experiment	experiment	NOUN
ajis02-1180	153	4	gsom	gsom	NOUN
ajis02-1180	153	5	output	output	NOUN
ajis02-1180	153	6	maps	map	NOUN
ajis02-1180	153	7	are	be	AUX
ajis02-1180	153	8	presented	present	VERB
ajis02-1180	153	9	where	where	SCONJ
ajis02-1180	153	10	nodes	node	NOUN
ajis02-1180	153	11	with	with	ADP
ajis02-1180	153	12	identical	identical	ADJ
ajis02-1180	153	13	colour	colour	NOUN
ajis02-1180	153	14	represent	represent	VERB
ajis02-1180	153	15	the	the	DET
ajis02-1180	153	16	same	same	ADJ
ajis02-1180	153	17	cluster	cluster	NOUN
ajis02-1180	153	18	and	and	CCONJ
ajis02-1180	153	19	grey	grey	NOUN
ajis02-1180	153	20	nodes	node	NOUN
ajis02-1180	153	21	represent	represent	VERB
ajis02-1180	153	22	the	the	DET
ajis02-1180	153	23	non	non	ADJ
ajis02-1180	153	24	-	-	ADJ
ajis02-1180	153	25	hit	hit	VERB
ajis02-1180	153	26	nodes	node	NOUN
ajis02-1180	153	27	.	.	PUNCT
ajis02-1180	154	1	clusters	cluster	NOUN
ajis02-1180	154	2	in	in	ADP
ajis02-1180	154	3	the	the	DET
ajis02-1180	154	4	output	output	NOUN
ajis02-1180	154	5	maps	map	NOUN
ajis02-1180	154	6	were	be	AUX
ajis02-1180	154	7	labelled	label	VERB
ajis02-1180	154	8	based	base	VERB
ajis02-1180	154	9	on	on	ADP
ajis02-1180	154	10	the	the	DET
ajis02-1180	154	11	most	most	ADV
ajis02-1180	154	12	frequent	frequent	ADJ
ajis02-1180	154	13	terms	term	NOUN
ajis02-1180	154	14	and	and	CCONJ
ajis02-1180	154	15	few	few	ADJ
ajis02-1180	154	16	of	of	ADP
ajis02-1180	154	17	most	most	ADJ
ajis02-1180	154	18	frequent	frequent	ADJ
ajis02-1180	154	19	terms	term	NOUN
ajis02-1180	154	20	are	be	AUX
ajis02-1180	154	21	presented	present	VERB
ajis02-1180	154	22	for	for	ADP
ajis02-1180	154	23	each	each	DET
ajis02-1180	154	24	cluster	cluster	NOUN
ajis02-1180	154	25	.	.	PUNCT
ajis02-1180	155	1	top	top	ADJ
ajis02-1180	155	2	35	35	NUM
ajis02-1180	155	3	%	%	NOUN
ajis02-1180	155	4	of	of	ADP
ajis02-1180	155	5	most	most	ADJ
ajis02-1180	155	6	frequent	frequent	ADJ
ajis02-1180	155	7	terms	term	NOUN
ajis02-1180	155	8	were	be	AUX
ajis02-1180	155	9	used	use	VERB
ajis02-1180	155	10	from	from	ADP
ajis02-1180	155	11	each	each	DET
ajis02-1180	155	12	cluster	cluster	NOUN
ajis02-1180	155	13	for	for	ADP
ajis02-1180	155	14	overlap	overlap	NOUN
ajis02-1180	155	15	calculation	calculation	NOUN
ajis02-1180	155	16	in	in	ADP
ajis02-1180	155	17	each	each	DET
ajis02-1180	155	18	hierarchy	hierarchy	NOUN
ajis02-1180	155	19	level	level	NOUN
ajis02-1180	155	20	and	and	CCONJ
ajis02-1180	155	21	calculated	calculate	VERB
ajis02-1180	155	22	overlap	overlap	NOUN
ajis02-1180	155	23	values	value	NOUN
ajis02-1180	155	24	are	be	AUX
ajis02-1180	155	25	rounded	rounded	ADJ
ajis02-1180	155	26	to	to	ADP
ajis02-1180	155	27	2	2	NUM
ajis02-1180	155	28	decimal	decimal	ADJ
ajis02-1180	155	29	places	place	NOUN
ajis02-1180	155	30	and	and	CCONJ
ajis02-1180	155	31	presented	present	VERB
ajis02-1180	155	32	in	in	ADP
ajis02-1180	155	33	tables	table	NOUN
ajis02-1180	155	34	.	.	PUNCT
ajis02-1180	156	1	in	in	ADP
ajis02-1180	156	2	figures	figure	NOUN
ajis02-1180	156	3	and	and	CCONJ
ajis02-1180	156	4	tables	table	NOUN
ajis02-1180	156	5	term	term	NOUN
ajis02-1180	156	6	‘	'	PUNCT
ajis02-1180	156	7	c	c	NOUN
ajis02-1180	156	8	’	'	PUNCT
ajis02-1180	156	9	is	be	AUX
ajis02-1180	156	10	used	use	VERB
ajis02-1180	156	11	to	to	PART
ajis02-1180	156	12	represent	represent	VERB
ajis02-1180	156	13	clusters	cluster	NOUN
ajis02-1180	156	14	,	,	PUNCT
ajis02-1180	156	15	‘	'	PUNCT
ajis02-1180	156	16	sc	sc	NOUN
ajis02-1180	156	17	’	'	PUNCT
ajis02-1180	156	18	is	be	AUX
ajis02-1180	156	19	used	use	VERB
ajis02-1180	156	20	to	to	PART
ajis02-1180	156	21	represent	represent	VERB
ajis02-1180	156	22	sub	sub	NOUN
ajis02-1180	156	23	clusters	cluster	NOUN
ajis02-1180	156	24	,	,	PUNCT
ajis02-1180	156	25	and	and	CCONJ
ajis02-1180	156	26	‘	'	PUNCT
ajis02-1180	156	27	ssc	ssc	NOUN
ajis02-1180	156	28	’	'	PUNCT
ajis02-1180	156	29	is	be	AUX
ajis02-1180	156	30	used	use	VERB
ajis02-1180	156	31	to	to	PART
ajis02-1180	156	32	represent	represent	VERB
ajis02-1180	156	33	further	further	ADJ
ajis02-1180	156	34	sub	sub	NOUN
ajis02-1180	156	35	clusters	cluster	NOUN
ajis02-1180	156	36	obtained	obtain	VERB
ajis02-1180	156	37	for	for	ADP
ajis02-1180	156	38	sub	sub	NOUN
ajis02-1180	156	39	clusters	cluster	NOUN
ajis02-1180	156	40	.	.	PUNCT
ajis02-1180	157	1	4.2.1	4.2.1	NUM
ajis02-1180	157	2	experiment	experiment	NOUN
ajis02-1180	157	3	results	result	NOUN
ajis02-1180	157	4	obtained	obtain	VERB
ajis02-1180	157	5	for	for	ADP
ajis02-1180	157	6	two	two	NUM
ajis02-1180	157	7	distant	distant	ADJ
ajis02-1180	157	8	categories	category	NOUN
ajis02-1180	157	9	for	for	ADP
ajis02-1180	157	10	the	the	DET
ajis02-1180	157	11	experiment	experiment	NOUN
ajis02-1180	157	12	categories	category	NOUN
ajis02-1180	157	13	‘	'	PUNCT
ajis02-1180	157	14	commercial	commercial	ADJ
ajis02-1180	157	15	banks	bank	NOUN
ajis02-1180	157	16	’	'	PUNCT
ajis02-1180	157	17	(	(	PUNCT
ajis02-1180	157	18	a	a	NOUN
ajis02-1180	157	19	)	)	PUNCT
ajis02-1180	157	20	and	and	CCONJ
ajis02-1180	157	21	‘	'	PUNCT
ajis02-1180	157	22	soccer	soccer	NOUN
ajis02-1180	157	23	’	'	PUNCT
ajis02-1180	157	24	(	(	PUNCT
ajis02-1180	157	25	i	i	NOUN
ajis02-1180	157	26	)	)	PUNCT
ajis02-1180	157	27	were	be	AUX
ajis02-1180	157	28	selected	select	VERB
ajis02-1180	157	29	which	which	PRON
ajis02-1180	157	30	are	be	AUX
ajis02-1180	157	31	associated	associate	VERB
ajis02-1180	157	32	with	with	ADP
ajis02-1180	157	33	two	two	NUM
ajis02-1180	157	34	different	different	ADJ
ajis02-1180	157	35	themes	theme	NOUN
ajis02-1180	157	36	,	,	PUNCT
ajis02-1180	157	37	‘	'	PUNCT
ajis02-1180	157	38	banking	banking	NOUN
ajis02-1180	157	39	and	and	CCONJ
ajis02-1180	157	40	finance	finance	NOUN
ajis02-1180	157	41	’	'	PUNCT
ajis02-1180	157	42	and	and	CCONJ
ajis02-1180	157	43	‘	'	PUNCT
ajis02-1180	157	44	sport	sport	NOUN
ajis02-1180	157	45	’	'	PUNCT
ajis02-1180	157	46	respectively	respectively	ADV
ajis02-1180	157	47	.	.	PUNCT
ajis02-1180	158	1	the	the	DET
ajis02-1180	158	2	total	total	ADJ
ajis02-1180	158	3	document	document	NOUN
ajis02-1180	158	4	count	count	NOUN
ajis02-1180	158	5	used	use	VERB
ajis02-1180	158	6	for	for	ADP
ajis02-1180	158	7	the	the	DET
ajis02-1180	158	8	experiment	experiment	NOUN
ajis02-1180	158	9	was	be	AUX
ajis02-1180	158	10	2000	2000	NUM
ajis02-1180	158	11	.	.	PUNCT
ajis02-1180	159	1	the	the	DET
ajis02-1180	159	2	main	main	ADJ
ajis02-1180	159	3	objective	objective	NOUN
ajis02-1180	159	4	in	in	ADP
ajis02-1180	159	5	this	this	DET
ajis02-1180	159	6	experiment	experiment	NOUN
ajis02-1180	159	7	was	be	AUX
ajis02-1180	159	8	to	to	PART
ajis02-1180	159	9	identify	identify	VERB
ajis02-1180	159	10	how	how	SCONJ
ajis02-1180	159	11	term	term	NOUN
ajis02-1180	159	12	overlap	overlap	NOUN
ajis02-1180	159	13	plays	play	VERB
ajis02-1180	159	14	a	a	DET
ajis02-1180	159	15	role	role	NOUN
ajis02-1180	159	16	in	in	ADP
ajis02-1180	159	17	document	document	NOUN
ajis02-1180	159	18	clustering	cluster	VERB
ajis02-1180	159	19	when	when	SCONJ
ajis02-1180	159	20	the	the	DET
ajis02-1180	159	21	input	input	NOUN
ajis02-1180	159	22	documents	document	NOUN
ajis02-1180	159	23	belong	belong	VERB
ajis02-1180	159	24	to	to	ADP
ajis02-1180	159	25	vastly	vastly	ADV
ajis02-1180	159	26	different	different	ADJ
ajis02-1180	159	27	themes	theme	NOUN
ajis02-1180	159	28	in	in	ADP
ajis02-1180	159	29	human	human	ADJ
ajis02-1180	159	30	categorization	categorization	NOUN
ajis02-1180	159	31	perspectives	perspective	NOUN
ajis02-1180	159	32	.	.	PUNCT
ajis02-1180	160	1	figure	figure	NOUN
ajis02-1180	160	2	2	2	NUM
ajis02-1180	160	3	illustrates	illustrate	VERB
ajis02-1180	160	4	the	the	DET
ajis02-1180	160	5	gsom	gsom	PROPN
ajis02-1180	160	6	output	output	NOUN
ajis02-1180	160	7	obtained	obtain	VERB
ajis02-1180	160	8	for	for	ADP
ajis02-1180	160	9	the	the	DET
ajis02-1180	160	10	first	first	ADJ
ajis02-1180	160	11	level	level	NOUN
ajis02-1180	160	12	of	of	ADP
ajis02-1180	160	13	the	the	DET
ajis02-1180	160	14	hierarchy	hierarchy	NOUN
ajis02-1180	160	15	.	.	PUNCT
ajis02-1180	161	1	seven	seven	NUM
ajis02-1180	161	2	clusters	cluster	NOUN
ajis02-1180	161	3	were	be	AUX
ajis02-1180	161	4	identified	identify	VERB
ajis02-1180	161	5	in	in	ADP
ajis02-1180	161	6	the	the	DET
ajis02-1180	161	7	gsom	gsom	NOUN
ajis02-1180	161	8	.	.	PUNCT
ajis02-1180	162	1	from	from	ADP
ajis02-1180	162	2	the	the	DET
ajis02-1180	162	3	representative	representative	ADJ
ajis02-1180	162	4	terms	term	NOUN
ajis02-1180	162	5	of	of	ADP
ajis02-1180	162	6	each	each	DET
ajis02-1180	162	7	cluster	cluster	NOUN
ajis02-1180	162	8	,	,	PUNCT
ajis02-1180	162	9	only	only	ADV
ajis02-1180	162	10	one	one	NUM
ajis02-1180	162	11	cluster	cluster	NOUN
ajis02-1180	162	12	mainly	mainly	ADV
ajis02-1180	162	13	represented	represent	VERB
ajis02-1180	162	14	the	the	DET
ajis02-1180	162	15	‘	'	PUNCT
ajis02-1180	162	16	commercial	commercial	ADJ
ajis02-1180	162	17	banks	bank	NOUN
ajis02-1180	162	18	’	'	PUNCT
ajis02-1180	162	19	category	category	NOUN
ajis02-1180	162	20	and	and	CCONJ
ajis02-1180	162	21	other	other	ADJ
ajis02-1180	162	22	six	six	NUM
ajis02-1180	162	23	clusters	cluster	NOUN
ajis02-1180	162	24	mainly	mainly	ADV
ajis02-1180	162	25	represented	represent	VERB
ajis02-1180	162	26	the	the	DET
ajis02-1180	162	27	‘	'	PUNCT
ajis02-1180	162	28	soccer	soccer	NOUN
ajis02-1180	162	29	’	'	PUNCT
ajis02-1180	162	30	category	category	NOUN
ajis02-1180	162	31	.	.	PUNCT
ajis02-1180	163	1	the	the	DET
ajis02-1180	163	2	overlap	overlap	NOUN
ajis02-1180	163	3	for	for	ADP
ajis02-1180	163	4	each	each	DET
ajis02-1180	163	5	cluster	cluster	NOUN
ajis02-1180	163	6	pair	pair	NOUN
ajis02-1180	163	7	was	be	AUX
ajis02-1180	163	8	calculated	calculate	VERB
ajis02-1180	163	9	using	use	VERB
ajis02-1180	163	10	(	(	PUNCT
ajis02-1180	163	11	4	4	NUM
ajis02-1180	163	12	)	)	PUNCT
ajis02-1180	163	13	and	and	CCONJ
ajis02-1180	163	14	the	the	DET
ajis02-1180	163	15	resulting	result	VERB
ajis02-1180	163	16	overlap	overlap	NOUN
ajis02-1180	163	17	is	be	AUX
ajis02-1180	163	18	shown	show	VERB
ajis02-1180	163	19	in	in	ADP
ajis02-1180	163	20	table	table	NOUN
ajis02-1180	163	21	2	2	NUM
ajis02-1180	163	22	.	.	PUNCT
ajis02-1180	164	1	the	the	DET
ajis02-1180	164	2	predefined	predefine	VERB
ajis02-1180	164	3	ot	ot	NOUN
ajis02-1180	164	4	was	be	AUX
ajis02-1180	164	5	0.4	0.4	NUM
ajis02-1180	164	6	and	and	CCONJ
ajis02-1180	164	7	according	accord	VERB
ajis02-1180	164	8	to	to	ADP
ajis02-1180	164	9	the	the	DET
ajis02-1180	164	10	overlap	overlap	NOUN
ajis02-1180	164	11	matrix	matrix	NOUN
ajis02-1180	164	12	cluster	cluster	NOUN
ajis02-1180	164	13	groups	group	NOUN
ajis02-1180	164	14	c2	c2	PROPN
ajis02-1180	164	15	and	and	CCONJ
ajis02-1180	164	16	c3	c3	PROPN
ajis02-1180	164	17	,	,	PUNCT
ajis02-1180	164	18	c2	c2	PROPN
ajis02-1180	164	19	and	and	CCONJ
ajis02-1180	164	20	c4	c4	NOUN
ajis02-1180	164	21	,	,	PUNCT
ajis02-1180	164	22	and	and	CCONJ
ajis02-1180	164	23	c2	c2	PROPN
ajis02-1180	164	24	and	and	CCONJ
ajis02-1180	164	25	c7	c7	PROPN
ajis02-1180	164	26	had	have	VERB
ajis02-1180	164	27	of	of	ADP
ajis02-1180	164	28	greater	great	ADJ
ajis02-1180	164	29	than	than	ADP
ajis02-1180	164	30	the	the	DET
ajis02-1180	164	31	predefined	predefine	VERB
ajis02-1180	164	32	ot	ot	INTJ
ajis02-1180	164	33	.	.	PUNCT
ajis02-1180	164	34	as	as	SCONJ
ajis02-1180	164	35	mentioned	mention	VERB
ajis02-1180	164	36	by	by	ADP
ajis02-1180	164	37	the	the	DET
ajis02-1180	164	38	proposed	propose	VERB
ajis02-1180	164	39	algorithm	algorithm	NOUN
ajis02-1180	164	40	if	if	SCONJ
ajis02-1180	164	41	the	the	DET
ajis02-1180	164	42	selected	select	VERB
ajis02-1180	164	43	cluster	cluster	NOUN
ajis02-1180	164	44	groups	group	NOUN
ajis02-1180	164	45	have	have	VERB
ajis02-1180	164	46	common	common	ADJ
ajis02-1180	164	47	clusters	cluster	NOUN
ajis02-1180	164	48	they	they	PRON
ajis02-1180	164	49	should	should	AUX
ajis02-1180	164	50	be	be	AUX
ajis02-1180	164	51	merged	merge	VERB
ajis02-1180	164	52	together	together	ADV
ajis02-1180	164	53	for	for	ADP
ajis02-1180	164	54	further	further	ADJ
ajis02-1180	164	55	analysis	analysis	NOUN
ajis02-1180	164	56	.	.	PUNCT
ajis02-1180	165	1	since	since	SCONJ
ajis02-1180	165	2	all	all	PRON
ajis02-1180	165	3	above	above	ADP
ajis02-1180	165	4	cluster	cluster	NOUN
ajis02-1180	165	5	groups	group	NOUN
ajis02-1180	165	6	included	include	VERB
ajis02-1180	165	7	c2	c2	PROPN
ajis02-1180	165	8	cluster	cluster	NOUN
ajis02-1180	165	9	,	,	PUNCT
ajis02-1180	165	10	we	we	PRON
ajis02-1180	165	11	have	have	AUX
ajis02-1180	165	12	merged	merge	VERB
ajis02-1180	165	13	them	they	PRON
ajis02-1180	165	14	all	all	PRON
ajis02-1180	165	15	for	for	ADP
ajis02-1180	165	16	further	further	ADJ
ajis02-1180	165	17	analysis	analysis	NOUN
ajis02-1180	165	18	.	.	PUNCT
ajis02-1180	166	1	in	in	ADP
ajis02-1180	166	2	addition	addition	NOUN
ajis02-1180	166	3	it	it	PRON
ajis02-1180	166	4	was	be	AUX
ajis02-1180	166	5	noted	note	VERB
ajis02-1180	166	6	that	that	SCONJ
ajis02-1180	166	7	all	all	DET
ajis02-1180	166	8	four	four	NUM
ajis02-1180	166	9	clusters	cluster	NOUN
ajis02-1180	166	10	selected	select	VERB
ajis02-1180	166	11	for	for	ADP
ajis02-1180	166	12	further	further	ADJ
ajis02-1180	166	13	analysis	analysis	NOUN
ajis02-1180	166	14	were	be	AUX
ajis02-1180	166	15	mainly	mainly	ADV
ajis02-1180	166	16	representing	represent	VERB
ajis02-1180	166	17	the	the	DET
ajis02-1180	166	18	‘	'	PUNCT
ajis02-1180	166	19	soccer	soccer	NOUN
ajis02-1180	166	20	’	'	PUNCT
ajis02-1180	166	21	category	category	NOUN
ajis02-1180	166	22	.	.	PUNCT
ajis02-1180	167	1	all	all	DET
ajis02-1180	167	2	the	the	DET
ajis02-1180	167	3	documents	document	NOUN
ajis02-1180	167	4	mapped	map	VERB
ajis02-1180	167	5	to	to	ADP
ajis02-1180	167	6	the	the	DET
ajis02-1180	167	7	selected	select	VERB
ajis02-1180	167	8	four	four	NUM
ajis02-1180	167	9	clusters	cluster	NOUN
ajis02-1180	167	10	were	be	AUX
ajis02-1180	167	11	pre	pre	ADJ
ajis02-1180	167	12	-	-	VERB
ajis02-1180	167	13	processed	processed	ADJ
ajis02-1180	167	14	following	follow	VERB
ajis02-1180	167	15	a	a	DET
ajis02-1180	167	16	similar	similar	ADJ
ajis02-1180	167	17	approach	approach	NOUN
ajis02-1180	167	18	used	use	VERB
ajis02-1180	167	19	in	in	ADP
ajis02-1180	167	20	the	the	DET
ajis02-1180	167	21	first	first	ADJ
ajis02-1180	167	22	hierarchy	hierarchy	NOUN
ajis02-1180	167	23	level	level	NOUN
ajis02-1180	167	24	and	and	CCONJ
ajis02-1180	167	25	clustered	clustered	ADJ
ajis02-1180	167	26	using	use	VERB
ajis02-1180	167	27	the	the	DET
ajis02-1180	167	28	gsom	gsom	PROPN
ajis02-1180	167	29	algorithm	algorithm	NOUN
ajis02-1180	167	30	with	with	ADP
ajis02-1180	167	31	sf	sf	PROPN
ajis02-1180	167	32	0.3	0.3	NUM
ajis02-1180	167	33	.	.	PUNCT
ajis02-1180	168	1	cluster	cluster	NOUN
ajis02-1180	168	2	separated	separate	VERB
ajis02-1180	168	3	gsom	gsom	PROPN
ajis02-1180	168	4	output	output	NOUN
ajis02-1180	168	5	for	for	ADP
ajis02-1180	168	6	the	the	DET
ajis02-1180	168	7	second	second	ADJ
ajis02-1180	168	8	level	level	NOUN
ajis02-1180	168	9	of	of	ADP
ajis02-1180	168	10	the	the	DET
ajis02-1180	168	11	hierarchy	hierarchy	NOUN
ajis02-1180	168	12	is	be	AUX
ajis02-1180	168	13	presented	present	VERB
ajis02-1180	168	14	in	in	ADP
ajis02-1180	168	15	figure	figure	NOUN
ajis02-1180	168	16	3	3	NUM
ajis02-1180	168	17	.	.	NOUN
ajis02-1180	168	18	s62	s62	NOUN
ajis02-1180	168	19	australasian	australasian	ADJ
ajis02-1180	168	20	journal	journal	NOUN
ajis02-1180	168	21	of	of	ADP
ajis02-1180	168	22	information	information	NOUN
ajis02-1180	168	23	systems	system	NOUN
ajis02-1180	168	24	nathawitharana	nathawitharana	PROPN
ajis02-1180	168	25	,	,	PUNCT
ajis02-1180	168	26	alahakoon	alahakoon	PROPN
ajis02-1180	168	27	&	&	CCONJ
ajis02-1180	168	28	matharage	matharage	NOUN
ajis02-1180	168	29	2015	2015	NUM
ajis02-1180	168	30	,	,	PUNCT
ajis02-1180	168	31	vol	vol	NOUN
ajis02-1180	168	32	.	.	PROPN
ajis02-1180	168	33	19	19	NUM
ajis02-1180	168	34	,	,	PUNCT
ajis02-1180	168	35	pp	pp	PROPN
ajis02-1180	168	36	.	.	PUNCT
ajis02-1180	168	37	s55	s55	PROPN
ajis02-1180	168	38	-	-	PUNCT
ajis02-1180	168	39	s75	s75	NOUN
ajis02-1180	168	40	improving	improve	VERB
ajis02-1180	168	41	decision	decision	NOUN
ajis02-1180	168	42	value	value	NOUN
ajis02-1180	168	43	of	of	ADP
ajis02-1180	168	44	hierarchical	hierarchical	ADJ
ajis02-1180	168	45	text	text	NOUN
ajis02-1180	168	46	figure	figure	NOUN
ajis02-1180	168	47	2	2	NUM
ajis02-1180	168	48	:	:	PUNCT
ajis02-1180	168	49	gsom	gsom	VERB
ajis02-1180	168	50	hierarchical	hierarchical	ADJ
ajis02-1180	168	51	clustering	clustering	NOUN
ajis02-1180	168	52	with	with	ADP
ajis02-1180	168	53	sf	sf	PROPN
ajis02-1180	168	54	0.1	0.1	NUM
ajis02-1180	168	55	for	for	ADP
ajis02-1180	168	56	two	two	NUM
ajis02-1180	168	57	distant	distant	ADJ
ajis02-1180	168	58	categories	category	NOUN
ajis02-1180	168	59	from	from	ADP
ajis02-1180	168	60	the	the	DET
ajis02-1180	168	61	dataset	dataset	NOUN
ajis02-1180	168	62	(	(	PUNCT
ajis02-1180	168	63	first	first	ADJ
ajis02-1180	168	64	level	level	NOUN
ajis02-1180	168	65	of	of	ADP
ajis02-1180	168	66	the	the	DET
ajis02-1180	168	67	hierarchy	hierarchy	NOUN
ajis02-1180	168	68	)	)	PUNCT
ajis02-1180	168	69	table	table	NOUN
ajis02-1180	168	70	2	2	NUM
ajis02-1180	168	71	:	:	PUNCT
ajis02-1180	168	72	overlap	overlap	NOUN
ajis02-1180	168	73	matrix	matrix	NOUN
ajis02-1180	168	74	of	of	ADP
ajis02-1180	168	75	each	each	DET
ajis02-1180	168	76	cluster	cluster	NOUN
ajis02-1180	168	77	pair	pair	NOUN
ajis02-1180	168	78	for	for	ADP
ajis02-1180	168	79	the	the	DET
ajis02-1180	168	80	1st	1st	ADJ
ajis02-1180	168	81	level	level	NOUN
ajis02-1180	168	82	of	of	ADP
ajis02-1180	168	83	the	the	DET
ajis02-1180	168	84	hierarchy	hierarchy	NOUN
ajis02-1180	168	85	for	for	ADP
ajis02-1180	168	86	distant	distant	ADJ
ajis02-1180	168	87	categories	category	NOUN
ajis02-1180	168	88	we	we	PRON
ajis02-1180	168	89	have	have	AUX
ajis02-1180	168	90	observed	observe	VERB
ajis02-1180	168	91	that	that	SCONJ
ajis02-1180	168	92	the	the	DET
ajis02-1180	168	93	merged	merged	ADJ
ajis02-1180	168	94	four	four	NUM
ajis02-1180	168	95	clusters	cluster	NOUN
ajis02-1180	168	96	were	be	AUX
ajis02-1180	168	97	divided	divide	VERB
ajis02-1180	168	98	into	into	ADP
ajis02-1180	168	99	six	six	NUM
ajis02-1180	168	100	sub	sub	NOUN
ajis02-1180	168	101	clusters	cluster	NOUN
ajis02-1180	168	102	in	in	ADP
ajis02-1180	168	103	the	the	DET
ajis02-1180	168	104	next	next	ADJ
ajis02-1180	168	105	level	level	NOUN
ajis02-1180	168	106	of	of	ADP
ajis02-1180	168	107	clustering	clustering	NOUN
ajis02-1180	168	108	.	.	PUNCT
ajis02-1180	169	1	the	the	DET
ajis02-1180	169	2	merged	merged	ADJ
ajis02-1180	169	3	four	four	NUM
ajis02-1180	169	4	clusters	cluster	NOUN
ajis02-1180	169	5	mainly	mainly	ADV
ajis02-1180	169	6	represented	represent	VERB
ajis02-1180	169	7	the	the	DET
ajis02-1180	169	8	‘	'	PUNCT
ajis02-1180	169	9	soccer	soccer	NOUN
ajis02-1180	169	10	’	'	PUNCT
ajis02-1180	169	11	category	category	NOUN
ajis02-1180	169	12	and	and	CCONJ
ajis02-1180	169	13	the	the	DET
ajis02-1180	169	14	resultant	resultant	NOUN
ajis02-1180	169	15	sub	sub	NOUN
ajis02-1180	169	16	clusters	cluster	NOUN
ajis02-1180	169	17	obtained	obtain	VERB
ajis02-1180	169	18	in	in	ADP
ajis02-1180	169	19	the	the	DET
ajis02-1180	169	20	second	second	ADJ
ajis02-1180	169	21	level	level	NOUN
ajis02-1180	169	22	of	of	ADP
ajis02-1180	169	23	the	the	DET
ajis02-1180	169	24	hierarchy	hierarchy	NOUN
ajis02-1180	169	25	were	be	AUX
ajis02-1180	169	26	also	also	ADV
ajis02-1180	169	27	mainly	mainly	ADV
ajis02-1180	169	28	representing	represent	VERB
ajis02-1180	169	29	the	the	DET
ajis02-1180	169	30	‘	'	PUNCT
ajis02-1180	169	31	soccer	soccer	NOUN
ajis02-1180	169	32	’	'	PUNCT
ajis02-1180	169	33	category	category	NOUN
ajis02-1180	169	34	.	.	PUNCT
ajis02-1180	170	1	to	to	PART
ajis02-1180	170	2	investigate	investigate	VERB
ajis02-1180	170	3	the	the	DET
ajis02-1180	170	4	impact	impact	NOUN
ajis02-1180	170	5	of	of	ADP
ajis02-1180	170	6	hierarchical	hierarchical	ADJ
ajis02-1180	170	7	clustering	clustering	NOUN
ajis02-1180	170	8	for	for	ADP
ajis02-1180	170	9	term	term	NOUN
ajis02-1180	170	10	overlap	overlap	NOUN
ajis02-1180	170	11	we	we	PRON
ajis02-1180	170	12	have	have	AUX
ajis02-1180	170	13	calculated	calculate	VERB
ajis02-1180	170	14	the	the	PRON
ajis02-1180	170	15	of	of	ADP
ajis02-1180	170	16	for	for	ADP
ajis02-1180	170	17	cluster	cluster	NOUN
ajis02-1180	170	18	pairs	pair	NOUN
ajis02-1180	170	19	and	and	CCONJ
ajis02-1180	170	20	relevant	relevant	ADJ
ajis02-1180	170	21	overlap	overlap	NOUN
ajis02-1180	170	22	matrix	matrix	NOUN
ajis02-1180	170	23	is	be	AUX
ajis02-1180	170	24	provided	provide	VERB
ajis02-1180	170	25	in	in	ADP
ajis02-1180	170	26	table	table	NOUN
ajis02-1180	170	27	3	3	NUM
ajis02-1180	170	28	.	.	PUNCT
ajis02-1180	171	1	i	i	PROPN
ajis02-1180	171	2	d	d	PROPN
ajis02-1180	171	3	c1	c1	PROPN
ajis02-1180	171	4	c2	c2	PROPN
ajis02-1180	171	5	c3	c3	PROPN
ajis02-1180	171	6	c4	c4	PROPN
ajis02-1180	171	7	c5	c5	PROPN
ajis02-1180	171	8	c6	c6	PROPN
ajis02-1180	171	9	c7	c7	PROPN
ajis02-1180	171	10	c1	c1	PROPN
ajis02-1180	171	11	0.30	0.30	NUM
ajis02-1180	171	12	0.23	0.23	NUM
ajis02-1180	171	13	0.28	0.28	NUM
ajis02-1180	171	14	0.15	0.15	NUM
ajis02-1180	171	15	0.25	0.25	NUM
ajis02-1180	171	16	0.25	0.25	NUM
ajis02-1180	171	17	c2	c2	PROPN
ajis02-1180	171	18	0.30	0.30	NUM
ajis02-1180	171	19	0.41	0.41	NUM
ajis02-1180	171	20	0.41	0.41	NUM
ajis02-1180	171	21	0.25	0.25	NUM
ajis02-1180	171	22	0.39	0.39	NUM
ajis02-1180	171	23	0.42	0.42	NUM
ajis02-1180	171	24	c3	c3	NOUN
ajis02-1180	171	25	0.23	0.23	NUM
ajis02-1180	171	26	0.41	0.41	NUM
ajis02-1180	171	27	0.36	0.36	NUM
ajis02-1180	171	28	0.24	0.24	NUM
ajis02-1180	171	29	0.33	0.33	NUM
ajis02-1180	171	30	0.38	0.38	NUM
ajis02-1180	171	31	c4	c4	NOUN
ajis02-1180	171	32	0.28	0.28	NUM
ajis02-1180	171	33	0.41	0.41	NUM
ajis02-1180	171	34	0.36	0.36	NUM
ajis02-1180	171	35	0.29	0.29	NUM
ajis02-1180	171	36	0.38	0.38	NUM
ajis02-1180	171	37	0.39	0.39	NUM
ajis02-1180	171	38	c5	c5	PROPN
ajis02-1180	171	39	0.15	0.15	NUM
ajis02-1180	171	40	0.25	0.25	NUM
ajis02-1180	171	41	0.24	0.24	NUM
ajis02-1180	171	42	0.29	0.29	NUM
ajis02-1180	171	43	0.28	0.28	NUM
ajis02-1180	171	44	0.26	0.26	NUM
ajis02-1180	171	45	c6	c6	PROPN
ajis02-1180	171	46	0.25	0.25	NUM
ajis02-1180	171	47	0.39	0.39	NUM
ajis02-1180	171	48	0.33	0.33	NUM
ajis02-1180	171	49	0.38	0.38	NUM
ajis02-1180	171	50	0.28	0.28	NUM
ajis02-1180	171	51	0.31	0.31	NUM
ajis02-1180	171	52	c7	c7	PROPN
ajis02-1180	171	53	0.25	0.25	NUM
ajis02-1180	171	54	0.42	0.42	NUM
ajis02-1180	171	55	0.38	0.38	NUM
ajis02-1180	171	56	0.39	0.39	NUM
ajis02-1180	171	57	0.26	0.26	NUM
ajis02-1180	171	58	0.31	0.31	NUM
ajis02-1180	171	59	s63	s63	NOUN
ajis02-1180	171	60	australasian	australasian	ADJ
ajis02-1180	171	61	journal	journal	NOUN
ajis02-1180	171	62	of	of	ADP
ajis02-1180	171	63	information	information	NOUN
ajis02-1180	171	64	systems	system	NOUN
ajis02-1180	171	65	nathawitharana	nathawitharana	PROPN
ajis02-1180	171	66	,	,	PUNCT
ajis02-1180	171	67	alahakoon	alahakoon	PROPN
ajis02-1180	171	68	&	&	CCONJ
ajis02-1180	171	69	matharage	matharage	NOUN
ajis02-1180	171	70	2015	2015	NUM
ajis02-1180	171	71	,	,	PUNCT
ajis02-1180	171	72	vol	vol	NOUN
ajis02-1180	171	73	.	.	PROPN
ajis02-1180	171	74	19	19	NUM
ajis02-1180	171	75	,	,	PUNCT
ajis02-1180	171	76	pp	pp	PROPN
ajis02-1180	171	77	.	.	PUNCT
ajis02-1180	172	1	s55	s55	PROPN
ajis02-1180	172	2	-	-	PUNCT
ajis02-1180	172	3	s75	s75	NOUN
ajis02-1180	172	4	improving	improve	VERB
ajis02-1180	172	5	decision	decision	NOUN
ajis02-1180	172	6	value	value	NOUN
ajis02-1180	172	7	of	of	ADP
ajis02-1180	172	8	hierarchical	hierarchical	ADJ
ajis02-1180	172	9	text	text	NOUN
ajis02-1180	172	10	figure	figure	NOUN
ajis02-1180	172	11	3	3	NUM
ajis02-1180	172	12	:	:	PUNCT
ajis02-1180	172	13	gsom	gsom	VERB
ajis02-1180	172	14	hierarchical	hierarchical	ADJ
ajis02-1180	172	15	clustering	clustering	NOUN
ajis02-1180	172	16	with	with	ADP
ajis02-1180	172	17	sf	sf	PROPN
ajis02-1180	172	18	0.3	0.3	NUM
ajis02-1180	172	19	for	for	ADP
ajis02-1180	172	20	merged	merged	ADJ
ajis02-1180	172	21	c2	c2	PROPN
ajis02-1180	172	22	,	,	PUNCT
ajis02-1180	172	23	c3	c3	PROPN
ajis02-1180	172	24	,	,	PUNCT
ajis02-1180	172	25	c4	c4	NOUN
ajis02-1180	172	26	,	,	PUNCT
ajis02-1180	172	27	and	and	CCONJ
ajis02-1180	172	28	c7	c7	PROPN
ajis02-1180	172	29	clusters	cluster	NOUN
ajis02-1180	172	30	obtained	obtain	VERB
ajis02-1180	172	31	for	for	ADP
ajis02-1180	172	32	distant	distant	ADJ
ajis02-1180	172	33	categories	category	NOUN
ajis02-1180	172	34	in	in	ADP
ajis02-1180	172	35	the	the	DET
ajis02-1180	172	36	first	first	ADJ
ajis02-1180	172	37	level	level	NOUN
ajis02-1180	172	38	of	of	ADP
ajis02-1180	172	39	the	the	DET
ajis02-1180	172	40	hierarchy	hierarchy	NOUN
ajis02-1180	172	41	i	i	PROPN
ajis02-1180	172	42	d	d	PROPN
ajis02-1180	172	43	sc1	sc1	PROPN
ajis02-1180	173	1	sc2	sc2	PROPN
ajis02-1180	173	2	sc3	sc3	PROPN
ajis02-1180	173	3	sc4	sc4	PROPN
ajis02-1180	173	4	sc5	sc5	PROPN
ajis02-1180	173	5	sc6	sc6	PROPN
ajis02-1180	173	6	sc1	sc1	PROPN
ajis02-1180	173	7	0.26	0.26	NUM
ajis02-1180	173	8	0.36	0.36	NUM
ajis02-1180	173	9	0.23	0.23	NUM
ajis02-1180	173	10	0.39	0.39	NUM
ajis02-1180	173	11	0.16	0.16	NUM
ajis02-1180	173	12	sc2	sc2	NOUN
ajis02-1180	173	13	0.26	0.26	NUM
ajis02-1180	173	14	0.36	0.36	NUM
ajis02-1180	173	15	0.33	0.33	NUM
ajis02-1180	173	16	0.27	0.27	NUM
ajis02-1180	173	17	0.27	0.27	NUM
ajis02-1180	173	18	sc3	sc3	NOUN
ajis02-1180	173	19	0.36	0.36	NUM
ajis02-1180	173	20	0.36	0.36	NUM
ajis02-1180	173	21	0.39	0.39	NUM
ajis02-1180	173	22	0.37	0.37	NUM
ajis02-1180	173	23	0.18	0.18	NUM
ajis02-1180	173	24	sc4	sc4	NOUN
ajis02-1180	173	25	0.23	0.23	NUM
ajis02-1180	173	26	0.33	0.33	NUM
ajis02-1180	173	27	0.39	0.39	NUM
ajis02-1180	173	28	0.24	0.24	NUM
ajis02-1180	173	29	0.18	0.18	NUM
ajis02-1180	173	30	sc5	sc5	VERB
ajis02-1180	173	31	0.39	0.39	NUM
ajis02-1180	173	32	0.27	0.27	NUM
ajis02-1180	173	33	0.37	0.37	NUM
ajis02-1180	173	34	0.24	0.24	NUM
ajis02-1180	173	35	0.24	0.24	NUM
ajis02-1180	173	36	sc6	sc6	NOUN
ajis02-1180	173	37	0.16	0.16	NUM
ajis02-1180	173	38	0.27	0.27	NUM
ajis02-1180	173	39	0.18	0.18	NUM
ajis02-1180	173	40	0.18	0.18	NUM
ajis02-1180	173	41	0.24	0.24	NUM
ajis02-1180	173	42	table	table	NOUN
ajis02-1180	173	43	3	3	NUM
ajis02-1180	173	44	:	:	PUNCT
ajis02-1180	173	45	overlap	overlap	NOUN
ajis02-1180	173	46	matrix	matrix	NOUN
ajis02-1180	173	47	of	of	ADP
ajis02-1180	173	48	each	each	DET
ajis02-1180	173	49	cluster	cluster	NOUN
ajis02-1180	173	50	pair	pair	NOUN
ajis02-1180	173	51	for	for	ADP
ajis02-1180	173	52	the	the	DET
ajis02-1180	173	53	2nd	2nd	ADJ
ajis02-1180	173	54	level	level	NOUN
ajis02-1180	173	55	of	of	ADP
ajis02-1180	173	56	the	the	DET
ajis02-1180	173	57	hierarchy	hierarchy	NOUN
ajis02-1180	173	58	for	for	ADP
ajis02-1180	173	59	merged	merged	ADJ
ajis02-1180	173	60	c2	c2	PROPN
ajis02-1180	173	61	,	,	PUNCT
ajis02-1180	173	62	c3	c3	PROPN
ajis02-1180	173	63	,	,	PUNCT
ajis02-1180	173	64	c4	c4	NOUN
ajis02-1180	173	65	,	,	PUNCT
ajis02-1180	173	66	and	and	CCONJ
ajis02-1180	173	67	c7	c7	PROPN
ajis02-1180	173	68	clusters	cluster	NOUN
ajis02-1180	173	69	obtained	obtain	VERB
ajis02-1180	173	70	for	for	ADP
ajis02-1180	173	71	distant	distant	ADJ
ajis02-1180	173	72	categories	category	NOUN
ajis02-1180	173	73	according	accord	VERB
ajis02-1180	173	74	to	to	ADP
ajis02-1180	173	75	the	the	DET
ajis02-1180	173	76	overlap	overlap	NOUN
ajis02-1180	173	77	matrix	matrix	NOUN
ajis02-1180	173	78	overlap	overlap	NOUN
ajis02-1180	173	79	was	be	AUX
ajis02-1180	173	80	minimized	minimize	VERB
ajis02-1180	173	81	between	between	ADP
ajis02-1180	173	82	the	the	DET
ajis02-1180	173	83	cluster	cluster	NOUN
ajis02-1180	173	84	pairs	pair	NOUN
ajis02-1180	173	85	in	in	ADP
ajis02-1180	173	86	this	this	DET
ajis02-1180	173	87	second	second	ADJ
ajis02-1180	173	88	hierarchy	hierarchy	NOUN
ajis02-1180	173	89	level	level	NOUN
ajis02-1180	173	90	.	.	PUNCT
ajis02-1180	174	1	an	an	DET
ajis02-1180	174	2	interesting	interesting	ADJ
ajis02-1180	174	3	observation	observation	NOUN
ajis02-1180	174	4	was	be	AUX
ajis02-1180	174	5	that	that	PRON
ajis02-1180	174	6	number	number	NOUN
ajis02-1180	174	7	of	of	ADP
ajis02-1180	174	8	highest	high	ADJ
ajis02-1180	174	9	important	important	ADJ
ajis02-1180	174	10	terms	term	NOUN
ajis02-1180	174	11	repeated	repeat	VERB
ajis02-1180	174	12	across	across	ADP
ajis02-1180	174	13	the	the	DET
ajis02-1180	174	14	clusters	cluster	NOUN
ajis02-1180	174	15	was	be	AUX
ajis02-1180	174	16	minimized	minimize	VERB
ajis02-1180	174	17	in	in	ADP
ajis02-1180	174	18	the	the	DET
ajis02-1180	174	19	second	second	ADJ
ajis02-1180	174	20	hierarchy	hierarchy	NOUN
ajis02-1180	174	21	level	level	NOUN
ajis02-1180	174	22	.	.	PUNCT
ajis02-1180	175	1	in	in	ADP
ajis02-1180	175	2	the	the	DET
ajis02-1180	175	3	first	first	ADJ
ajis02-1180	175	4	hierarchy	hierarchy	NOUN
ajis02-1180	175	5	level	level	NOUN
ajis02-1180	175	6	more	more	ADV
ajis02-1180	175	7	important	important	ADJ
ajis02-1180	175	8	terms	term	NOUN
ajis02-1180	175	9	were	be	AUX
ajis02-1180	175	10	repeated	repeat	VERB
ajis02-1180	175	11	across	across	ADP
ajis02-1180	175	12	the	the	DET
ajis02-1180	175	13	clusters	cluster	NOUN
ajis02-1180	175	14	including	include	VERB
ajis02-1180	175	15	‘	'	PUNCT
ajis02-1180	175	16	cup	cup	NOUN
ajis02-1180	175	17	’	'	PUNCT
ajis02-1180	175	18	,	,	PUNCT
ajis02-1180	175	19	‘	'	PUNCT
ajis02-1180	175	20	football	football	NOUN
ajis02-1180	175	21	’	'	PUNCT
ajis02-1180	175	22	,	,	PUNCT
ajis02-1180	175	23	‘	'	PUNCT
ajis02-1180	175	24	club	club	NOUN
ajis02-1180	175	25	’	'	PUNCT
ajis02-1180	175	26	,	,	PUNCT
ajis02-1180	175	27	and	and	CCONJ
ajis02-1180	175	28	‘	'	PUNCT
ajis02-1180	175	29	team	team	NOUN
ajis02-1180	175	30	’	'	PUNCT
ajis02-1180	175	31	.	.	PUNCT
ajis02-1180	176	1	however	however	ADV
ajis02-1180	176	2	in	in	ADP
ajis02-1180	176	3	the	the	DET
ajis02-1180	176	4	second	second	ADJ
ajis02-1180	176	5	level	level	NOUN
ajis02-1180	176	6	of	of	ADP
ajis02-1180	176	7	the	the	DET
ajis02-1180	176	8	hierarchy	hierarchy	NOUN
ajis02-1180	176	9	number	number	NOUN
ajis02-1180	176	10	was	be	AUX
ajis02-1180	176	11	reduced	reduce	VERB
ajis02-1180	176	12	to	to	ADP
ajis02-1180	176	13	two	two	NUM
ajis02-1180	176	14	and	and	CCONJ
ajis02-1180	176	15	only	only	ADV
ajis02-1180	176	16	‘	'	PUNCT
ajis02-1180	176	17	cup	cup	NOUN
ajis02-1180	176	18	’	'	PUNCT
ajis02-1180	176	19	and	and	CCONJ
ajis02-1180	176	20	‘	'	PUNCT
ajis02-1180	176	21	team	team	NOUN
ajis02-1180	176	22	’	'	PUNCT
ajis02-1180	176	23	were	be	AUX
ajis02-1180	176	24	repeated	repeat	VERB
ajis02-1180	176	25	,	,	PUNCT
ajis02-1180	176	26	confirming	confirm	VERB
ajis02-1180	176	27	higher	high	ADJ
ajis02-1180	176	28	cluster	cluster	NOUN
ajis02-1180	176	29	purity	purity	NOUN
ajis02-1180	176	30	for	for	ADP
ajis02-1180	176	31	distant	distant	ADJ
ajis02-1180	176	32	document	document	NOUN
ajis02-1180	176	33	groups	group	NOUN
ajis02-1180	176	34	.	.	PUNCT
ajis02-1180	177	1	figure	figure	VERB
ajis02-1180	177	2	4	4	NUM
ajis02-1180	177	3	presents	present	VERB
ajis02-1180	177	4	the	the	DET
ajis02-1180	177	5	gsom	gsom	PROPN
ajis02-1180	177	6	hierarchical	hierarchical	ADJ
ajis02-1180	177	7	clustering	clustering	ADJ
ajis02-1180	177	8	overview	overview	NOUN
ajis02-1180	177	9	diagram	diagram	NOUN
ajis02-1180	177	10	for	for	ADP
ajis02-1180	177	11	the	the	DET
ajis02-1180	177	12	selected	select	VERB
ajis02-1180	177	13	distant	distant	ADJ
ajis02-1180	177	14	categories	category	NOUN
ajis02-1180	177	15	including	include	VERB
ajis02-1180	177	16	the	the	DET
ajis02-1180	177	17	distribution	distribution	NOUN
ajis02-1180	177	18	of	of	ADP
ajis02-1180	177	19	the	the	DET
ajis02-1180	177	20	categories	category	NOUN
ajis02-1180	177	21	for	for	ADP
ajis02-1180	177	22	each	each	DET
ajis02-1180	177	23	cluster	cluster	NOUN
ajis02-1180	177	24	.	.	PUNCT
ajis02-1180	178	1	figure	figure	VERB
ajis02-1180	178	2	4	4	NUM
ajis02-1180	178	3	:	:	PUNCT
ajis02-1180	178	4	gsom	gsom	VERB
ajis02-1180	178	5	hierarchical	hierarchical	ADJ
ajis02-1180	178	6	clustering	clustering	ADJ
ajis02-1180	178	7	overview	overview	NOUN
ajis02-1180	178	8	diagram	diagram	NOUN
ajis02-1180	178	9	for	for	ADP
ajis02-1180	178	10	two	two	NUM
ajis02-1180	178	11	distant	distant	ADJ
ajis02-1180	178	12	categories	category	NOUN
ajis02-1180	178	13	from	from	ADP
ajis02-1180	178	14	the	the	DET
ajis02-1180	178	15	dataset	dataset	NOUN
ajis02-1180	178	16	to	to	PART
ajis02-1180	178	17	further	far	ADV
ajis02-1180	178	18	verify	verify	VERB
ajis02-1180	178	19	the	the	DET
ajis02-1180	178	20	accuracy	accuracy	NOUN
ajis02-1180	178	21	of	of	ADP
ajis02-1180	178	22	the	the	DET
ajis02-1180	178	23	methodology	methodology	NOUN
ajis02-1180	178	24	we	we	PRON
ajis02-1180	178	25	have	have	AUX
ajis02-1180	178	26	executed	execute	VERB
ajis02-1180	178	27	experiments	experiment	NOUN
ajis02-1180	178	28	for	for	ADP
ajis02-1180	178	29	same	same	ADJ
ajis02-1180	178	30	two	two	NUM
ajis02-1180	178	31	distant	distant	ADJ
ajis02-1180	178	32	categories	category	NOUN
ajis02-1180	178	33	changing	change	VERB
ajis02-1180	178	34	the	the	DET
ajis02-1180	178	35	two	two	NUM
ajis02-1180	178	36	parameter	parameter	NOUN
ajis02-1180	178	37	values	value	NOUN
ajis02-1180	178	38	which	which	PRON
ajis02-1180	178	39	are	be	AUX
ajis02-1180	178	40	number	number	NOUN
ajis02-1180	178	41	of	of	ADP
ajis02-1180	178	42	terms	term	NOUN
ajis02-1180	178	43	selected	select	VERB
ajis02-1180	178	44	for	for	ADP
ajis02-1180	178	45	s64	s64	ADJ
ajis02-1180	178	46	australasian	australasian	ADJ
ajis02-1180	178	47	journal	journal	NOUN
ajis02-1180	178	48	of	of	ADP
ajis02-1180	178	49	information	information	NOUN
ajis02-1180	178	50	systems	system	NOUN
ajis02-1180	178	51	nathawitharana	nathawitharana	PROPN
ajis02-1180	178	52	,	,	PUNCT
ajis02-1180	178	53	alahakoon	alahakoon	PROPN
ajis02-1180	178	54	&	&	CCONJ
ajis02-1180	178	55	matharage	matharage	NOUN
ajis02-1180	178	56	2015	2015	NUM
ajis02-1180	178	57	,	,	PUNCT
ajis02-1180	178	58	vol	vol	NOUN
ajis02-1180	178	59	.	.	PROPN
ajis02-1180	179	1	19	19	NUM
ajis02-1180	179	2	,	,	PUNCT
ajis02-1180	179	3	pp	pp	PROPN
ajis02-1180	179	4	.	.	PUNCT
ajis02-1180	180	1	s55	s55	PROPN
ajis02-1180	180	2	-	-	PUNCT
ajis02-1180	180	3	s75	s75	NOUN
ajis02-1180	180	4	improving	improve	VERB
ajis02-1180	180	5	decision	decision	NOUN
ajis02-1180	180	6	value	value	NOUN
ajis02-1180	180	7	of	of	ADP
ajis02-1180	180	8	hierarchical	hierarchical	ADJ
ajis02-1180	180	9	text	text	NOUN
ajis02-1180	180	10	the	the	DET
ajis02-1180	180	11	overlap	overlap	NOUN
ajis02-1180	180	12	calculation	calculation	NOUN
ajis02-1180	180	13	and	and	CCONJ
ajis02-1180	180	14	ot	ot	INTJ
ajis02-1180	180	15	.	.	PROPN
ajis02-1180	180	16	rather	rather	ADV
ajis02-1180	180	17	than	than	ADP
ajis02-1180	180	18	35	35	NUM
ajis02-1180	180	19	%	%	NOUN
ajis02-1180	180	20	of	of	ADP
ajis02-1180	180	21	most	most	ADJ
ajis02-1180	180	22	frequent	frequent	ADJ
ajis02-1180	180	23	terms	term	NOUN
ajis02-1180	181	1	,	,	PUNCT
ajis02-1180	181	2	most	most	ADV
ajis02-1180	181	3	frequent	frequent	ADJ
ajis02-1180	181	4	200	200	NUM
ajis02-1180	181	5	terms	term	NOUN
ajis02-1180	181	6	were	be	AUX
ajis02-1180	181	7	used	use	VERB
ajis02-1180	181	8	from	from	ADP
ajis02-1180	181	9	each	each	DET
ajis02-1180	181	10	cluster	cluster	NOUN
ajis02-1180	181	11	for	for	ADP
ajis02-1180	181	12	overlap	overlap	NOUN
ajis02-1180	181	13	calculation	calculation	NOUN
ajis02-1180	181	14	and	and	CCONJ
ajis02-1180	181	15	ot	ot	VERB
ajis02-1180	181	16	0.3	0.3	NUM
ajis02-1180	181	17	was	be	AUX
ajis02-1180	181	18	used	use	VERB
ajis02-1180	181	19	for	for	ADP
ajis02-1180	181	20	the	the	DET
ajis02-1180	181	21	analysis	analysis	NOUN
ajis02-1180	181	22	.	.	PUNCT
ajis02-1180	182	1	in	in	ADP
ajis02-1180	182	2	the	the	DET
ajis02-1180	182	3	first	first	ADJ
ajis02-1180	182	4	hierarchy	hierarchy	NOUN
ajis02-1180	182	5	level	level	NOUN
ajis02-1180	182	6	when	when	SCONJ
ajis02-1180	182	7	clustered	cluster	VERB
ajis02-1180	182	8	with	with	ADP
ajis02-1180	182	9	sf	sf	PROPN
ajis02-1180	182	10	0.1	0.1	NUM
ajis02-1180	182	11	seven	seven	NUM
ajis02-1180	182	12	clusters	cluster	NOUN
ajis02-1180	182	13	were	be	AUX
ajis02-1180	182	14	obtained	obtain	VERB
ajis02-1180	182	15	where	where	SCONJ
ajis02-1180	182	16	one	one	NUM
ajis02-1180	182	17	cluster	cluster	NOUN
ajis02-1180	182	18	represented	represent	VERB
ajis02-1180	182	19	‘	'	PUNCT
ajis02-1180	182	20	commercial	commercial	ADJ
ajis02-1180	182	21	banks	bank	NOUN
ajis02-1180	182	22	’	'	PUNCT
ajis02-1180	182	23	category	category	NOUN
ajis02-1180	182	24	and	and	CCONJ
ajis02-1180	182	25	other	other	ADJ
ajis02-1180	182	26	six	six	NUM
ajis02-1180	182	27	clusters	cluster	NOUN
ajis02-1180	182	28	mainly	mainly	ADV
ajis02-1180	182	29	represented	represent	VERB
ajis02-1180	182	30	the	the	DET
ajis02-1180	182	31	‘	'	PUNCT
ajis02-1180	182	32	soccer	soccer	NOUN
ajis02-1180	182	33	’	'	PUNCT
ajis02-1180	182	34	category	category	NOUN
ajis02-1180	182	35	.	.	PUNCT
ajis02-1180	183	1	two	two	NUM
ajis02-1180	183	2	clusters	cluster	NOUN
ajis02-1180	183	3	representing	represent	VERB
ajis02-1180	183	4	‘	'	PUNCT
ajis02-1180	183	5	soccer	soccer	NOUN
ajis02-1180	183	6	’	'	PUNCT
ajis02-1180	183	7	has	have	AUX
ajis02-1180	183	8	been	be	AUX
ajis02-1180	183	9	selected	select	VERB
ajis02-1180	183	10	for	for	ADP
ajis02-1180	183	11	further	further	ADJ
ajis02-1180	183	12	analysis	analysis	NOUN
ajis02-1180	183	13	and	and	CCONJ
ajis02-1180	183	14	when	when	SCONJ
ajis02-1180	183	15	clustered	cluster	VERB
ajis02-1180	183	16	with	with	ADP
ajis02-1180	183	17	sf	sf	PROPN
ajis02-1180	183	18	0.3	0.3	NUM
ajis02-1180	183	19	for	for	ADP
ajis02-1180	183	20	the	the	DET
ajis02-1180	183	21	second	second	ADJ
ajis02-1180	183	22	level	level	NOUN
ajis02-1180	183	23	of	of	ADP
ajis02-1180	183	24	the	the	DET
ajis02-1180	183	25	hierarchy	hierarchy	NOUN
ajis02-1180	183	26	seven	seven	NUM
ajis02-1180	183	27	sub	sub	NOUN
ajis02-1180	183	28	clusters	cluster	NOUN
ajis02-1180	183	29	were	be	AUX
ajis02-1180	183	30	obtained	obtain	VERB
ajis02-1180	183	31	where	where	SCONJ
ajis02-1180	183	32	one	one	NUM
ajis02-1180	183	33	sub	sub	NOUN
ajis02-1180	183	34	cluster	cluster	NOUN
ajis02-1180	183	35	represented	represent	VERB
ajis02-1180	183	36	‘	'	PUNCT
ajis02-1180	183	37	commercial	commercial	ADJ
ajis02-1180	183	38	banks	bank	NOUN
ajis02-1180	183	39	’	'	PUNCT
ajis02-1180	183	40	and	and	CCONJ
ajis02-1180	183	41	all	all	DET
ajis02-1180	183	42	others	other	NOUN
ajis02-1180	183	43	were	be	AUX
ajis02-1180	183	44	‘	'	PUNCT
ajis02-1180	183	45	soccer	soccer	NOUN
ajis02-1180	183	46	’	'	PUNCT
ajis02-1180	183	47	.	.	PUNCT
ajis02-1180	184	1	the	the	DET
ajis02-1180	184	2	overlap	overlap	NOUN
ajis02-1180	184	3	was	be	AUX
ajis02-1180	184	4	minimised	minimise	VERB
ajis02-1180	184	5	in	in	ADP
ajis02-1180	184	6	the	the	DET
ajis02-1180	184	7	second	second	ADJ
ajis02-1180	184	8	level	level	NOUN
ajis02-1180	184	9	of	of	ADP
ajis02-1180	184	10	the	the	DET
ajis02-1180	184	11	hierarchy	hierarchy	NOUN
ajis02-1180	184	12	where	where	SCONJ
ajis02-1180	184	13	no	no	DET
ajis02-1180	184	14	further	further	ADJ
ajis02-1180	184	15	analysis	analysis	NOUN
ajis02-1180	184	16	was	be	AUX
ajis02-1180	184	17	required	require	VERB
ajis02-1180	184	18	.	.	PUNCT
ajis02-1180	185	1	detailed	detailed	ADJ
ajis02-1180	185	2	results	result	NOUN
ajis02-1180	185	3	of	of	ADP
ajis02-1180	185	4	the	the	DET
ajis02-1180	185	5	experiments	experiment	NOUN
ajis02-1180	185	6	were	be	AUX
ajis02-1180	185	7	not	not	PART
ajis02-1180	185	8	provided	provide	VERB
ajis02-1180	185	9	due	due	ADP
ajis02-1180	185	10	to	to	ADP
ajis02-1180	185	11	space	space	NOUN
ajis02-1180	185	12	limitations	limitation	NOUN
ajis02-1180	185	13	.	.	PUNCT
ajis02-1180	186	1	4.2.2	4.2.2	NUM
ajis02-1180	186	2	experiment	experiment	NOUN
ajis02-1180	186	3	results	result	NOUN
ajis02-1180	186	4	obtained	obtain	VERB
ajis02-1180	186	5	for	for	ADP
ajis02-1180	186	6	two	two	NUM
ajis02-1180	186	7	close	close	ADJ
ajis02-1180	186	8	categories	category	NOUN
ajis02-1180	186	9	close	close	ADJ
ajis02-1180	186	10	categories	category	NOUN
ajis02-1180	186	11	used	use	VERB
ajis02-1180	186	12	for	for	ADP
ajis02-1180	186	13	the	the	DET
ajis02-1180	186	14	experiment	experiment	NOUN
ajis02-1180	186	15	were	be	AUX
ajis02-1180	186	16	‘	'	PUNCT
ajis02-1180	186	17	commercial	commercial	ADJ
ajis02-1180	186	18	banks	bank	NOUN
ajis02-1180	186	19	’	'	PUNCT
ajis02-1180	186	20	(	(	PUNCT
ajis02-1180	186	21	a	a	NOUN
ajis02-1180	186	22	)	)	PUNCT
ajis02-1180	186	23	and	and	CCONJ
ajis02-1180	186	24	‘	'	PUNCT
ajis02-1180	186	25	insurance	insurance	NOUN
ajis02-1180	186	26	agencies	agency	NOUN
ajis02-1180	186	27	’	'	PUNCT
ajis02-1180	186	28	(	(	PUNCT
ajis02-1180	186	29	c	c	NOUN
ajis02-1180	186	30	)	)	PUNCT
ajis02-1180	186	31	and	and	CCONJ
ajis02-1180	186	32	the	the	DET
ajis02-1180	186	33	total	total	ADJ
ajis02-1180	186	34	document	document	NOUN
ajis02-1180	186	35	count	count	NOUN
ajis02-1180	186	36	used	use	VERB
ajis02-1180	186	37	for	for	ADP
ajis02-1180	186	38	the	the	DET
ajis02-1180	186	39	experiment	experiment	NOUN
ajis02-1180	186	40	was	be	AUX
ajis02-1180	186	41	2000	2000	NUM
ajis02-1180	186	42	.	.	PUNCT
ajis02-1180	187	1	the	the	DET
ajis02-1180	187	2	main	main	ADJ
ajis02-1180	187	3	objective	objective	NOUN
ajis02-1180	187	4	was	be	AUX
ajis02-1180	187	5	to	to	PART
ajis02-1180	187	6	identify	identify	VERB
ajis02-1180	187	7	the	the	DET
ajis02-1180	187	8	possibility	possibility	NOUN
ajis02-1180	187	9	of	of	ADP
ajis02-1180	187	10	obtaining	obtain	VERB
ajis02-1180	187	11	clusters	cluster	NOUN
ajis02-1180	187	12	with	with	ADP
ajis02-1180	187	13	low	low	ADJ
ajis02-1180	187	14	term	term	NOUN
ajis02-1180	187	15	overlap	overlap	NOUN
ajis02-1180	187	16	for	for	ADP
ajis02-1180	187	17	documents	document	NOUN
ajis02-1180	187	18	which	which	PRON
ajis02-1180	187	19	are	be	AUX
ajis02-1180	187	20	associated	associate	VERB
ajis02-1180	187	21	with	with	ADP
ajis02-1180	187	22	similar	similar	ADJ
ajis02-1180	187	23	themes	theme	NOUN
ajis02-1180	187	24	according	accord	VERB
ajis02-1180	187	25	to	to	ADP
ajis02-1180	187	26	human	human	ADJ
ajis02-1180	187	27	categorization	categorization	NOUN
ajis02-1180	187	28	.	.	PUNCT
ajis02-1180	188	1	figure	figure	NOUN
ajis02-1180	188	2	5	5	NUM
ajis02-1180	188	3	illustrates	illustrate	VERB
ajis02-1180	188	4	the	the	DET
ajis02-1180	188	5	gsom	gsom	PROPN
ajis02-1180	188	6	output	output	NOUN
ajis02-1180	188	7	obtained	obtain	VERB
ajis02-1180	188	8	for	for	ADP
ajis02-1180	188	9	the	the	DET
ajis02-1180	188	10	first	first	ADJ
ajis02-1180	188	11	level	level	NOUN
ajis02-1180	188	12	of	of	ADP
ajis02-1180	188	13	the	the	DET
ajis02-1180	188	14	hierarchy	hierarchy	NOUN
ajis02-1180	188	15	after	after	ADP
ajis02-1180	188	16	automatic	automatic	ADJ
ajis02-1180	188	17	cluster	cluster	NOUN
ajis02-1180	188	18	separation	separation	NOUN
ajis02-1180	188	19	.	.	PUNCT
ajis02-1180	189	1	according	accord	VERB
ajis02-1180	189	2	to	to	ADP
ajis02-1180	189	3	the	the	DET
ajis02-1180	189	4	results	result	NOUN
ajis02-1180	189	5	four	four	NUM
ajis02-1180	189	6	clusters	cluster	NOUN
ajis02-1180	189	7	mainly	mainly	ADV
ajis02-1180	189	8	represented	represent	VERB
ajis02-1180	189	9	‘	'	PUNCT
ajis02-1180	189	10	commercial	commercial	ADJ
ajis02-1180	189	11	banks	bank	NOUN
ajis02-1180	189	12	’	'	PUNCT
ajis02-1180	189	13	and	and	CCONJ
ajis02-1180	189	14	the	the	DET
ajis02-1180	189	15	remaining	remain	VERB
ajis02-1180	189	16	two	two	NUM
ajis02-1180	189	17	clusters	cluster	NOUN
ajis02-1180	189	18	representing	represent	VERB
ajis02-1180	189	19	the	the	DET
ajis02-1180	189	20	‘	'	PUNCT
ajis02-1180	189	21	insurance	insurance	NOUN
ajis02-1180	189	22	agencies	agency	NOUN
ajis02-1180	189	23	.	.	PUNCT
ajis02-1180	189	24	’	'	PUNCT
ajis02-1180	190	1	the	the	DET
ajis02-1180	190	2	result	result	NOUN
ajis02-1180	190	3	overlap	overlap	NOUN
ajis02-1180	190	4	matrix	matrix	NOUN
ajis02-1180	190	5	(	(	PUNCT
ajis02-1180	190	6	calculated	calculate	VERB
ajis02-1180	190	7	as	as	ADP
ajis02-1180	190	8	previously	previously	ADV
ajis02-1180	190	9	)	)	PUNCT
ajis02-1180	190	10	is	be	AUX
ajis02-1180	190	11	provided	provide	VERB
ajis02-1180	190	12	in	in	ADP
ajis02-1180	190	13	table	table	NOUN
ajis02-1180	190	14	4	4	NUM
ajis02-1180	190	15	.	.	PUNCT
ajis02-1180	191	1	our	our	PRON
ajis02-1180	191	2	pre	pre	ADJ
ajis02-1180	191	3	-	-	ADJ
ajis02-1180	191	4	defined	define	VERB
ajis02-1180	191	5	overlap	overlap	NOUN
ajis02-1180	191	6	threshold	threshold	NOUN
ajis02-1180	191	7	was	be	AUX
ajis02-1180	191	8	0.5	0.5	NUM
ajis02-1180	191	9	and	and	CCONJ
ajis02-1180	191	10	according	accord	VERB
ajis02-1180	191	11	to	to	ADP
ajis02-1180	191	12	the	the	DET
ajis02-1180	191	13	overlap	overlap	NOUN
ajis02-1180	191	14	matrix	matrix	NOUN
ajis02-1180	191	15	presented	present	VERB
ajis02-1180	191	16	in	in	ADP
ajis02-1180	191	17	table	table	NOUN
ajis02-1180	191	18	4	4	NUM
ajis02-1180	191	19	the	the	DET
ajis02-1180	191	20	cluster	cluster	NOUN
ajis02-1180	191	21	groups	group	NOUN
ajis02-1180	191	22	c1	c1	PROPN
ajis02-1180	191	23	and	and	CCONJ
ajis02-1180	191	24	c3	c3	PROPN
ajis02-1180	191	25	,	,	PUNCT
ajis02-1180	191	26	c1	c1	PROPN
ajis02-1180	191	27	and	and	CCONJ
ajis02-1180	191	28	c5	c5	PROPN
ajis02-1180	191	29	,	,	PUNCT
ajis02-1180	191	30	c2	c2	PROPN
ajis02-1180	191	31	and	and	CCONJ
ajis02-1180	191	32	c6	c6	PROPN
ajis02-1180	191	33	,	,	PUNCT
ajis02-1180	191	34	c3	c3	PROPN
ajis02-1180	191	35	and	and	CCONJ
ajis02-1180	191	36	c5	c5	PROPN
ajis02-1180	191	37	had	have	VERB
ajis02-1180	191	38	of	of	ADP
ajis02-1180	191	39	more	more	ADJ
ajis02-1180	191	40	than	than	ADP
ajis02-1180	191	41	the	the	DET
ajis02-1180	191	42	pre	pre	ADJ
ajis02-1180	191	43	-	-	VERB
ajis02-1180	191	44	defined	define	VERB
ajis02-1180	191	45	ot	ot	NOUN
ajis02-1180	191	46	.	.	PUNCT
ajis02-1180	191	47	the	the	DET
ajis02-1180	191	48	selected	select	VERB
ajis02-1180	191	49	cluster	cluster	NOUN
ajis02-1180	191	50	groups	group	NOUN
ajis02-1180	191	51	which	which	PRON
ajis02-1180	191	52	have	have	VERB
ajis02-1180	191	53	common	common	ADJ
ajis02-1180	191	54	clusters	cluster	NOUN
ajis02-1180	191	55	are	be	AUX
ajis02-1180	191	56	merged	merge	VERB
ajis02-1180	191	57	together	together	ADV
ajis02-1180	191	58	for	for	ADP
ajis02-1180	191	59	further	further	ADJ
ajis02-1180	191	60	analysis	analysis	NOUN
ajis02-1180	191	61	.	.	PUNCT
ajis02-1180	192	1	so	so	ADV
ajis02-1180	192	2	clusters	clusters	PROPN
ajis02-1180	192	3	c1	c1	PROPN
ajis02-1180	192	4	,	,	PUNCT
ajis02-1180	192	5	c3	c3	PROPN
ajis02-1180	192	6	,	,	PUNCT
ajis02-1180	192	7	and	and	CCONJ
ajis02-1180	192	8	c5	c5	PROPN
ajis02-1180	192	9	and	and	CCONJ
ajis02-1180	192	10	the	the	DET
ajis02-1180	192	11	clusters	cluster	NOUN
ajis02-1180	192	12	c2	c2	PROPN
ajis02-1180	192	13	and	and	CCONJ
ajis02-1180	192	14	c6	c6	PROPN
ajis02-1180	192	15	were	be	AUX
ajis02-1180	192	16	merged	merge	VERB
ajis02-1180	192	17	as	as	ADP
ajis02-1180	192	18	separate	separate	ADJ
ajis02-1180	192	19	groups	group	NOUN
ajis02-1180	192	20	.	.	PUNCT
ajis02-1180	193	1	figure	figure	VERB
ajis02-1180	193	2	5	5	NUM
ajis02-1180	193	3	:	:	PUNCT
ajis02-1180	193	4	gsom	gsom	VERB
ajis02-1180	193	5	hierarchical	hierarchical	ADJ
ajis02-1180	193	6	clustering	clustering	NOUN
ajis02-1180	193	7	with	with	ADP
ajis02-1180	193	8	sf	sf	PROPN
ajis02-1180	193	9	0.1	0.1	NUM
ajis02-1180	193	10	for	for	ADP
ajis02-1180	193	11	two	two	NUM
ajis02-1180	193	12	close	close	ADJ
ajis02-1180	193	13	categories	category	NOUN
ajis02-1180	193	14	from	from	ADP
ajis02-1180	193	15	the	the	DET
ajis02-1180	193	16	dataset	dataset	NOUN
ajis02-1180	193	17	(	(	PUNCT
ajis02-1180	193	18	first	first	ADJ
ajis02-1180	193	19	level	level	NOUN
ajis02-1180	193	20	of	of	ADP
ajis02-1180	193	21	the	the	DET
ajis02-1180	193	22	hierarchy	hierarchy	NOUN
ajis02-1180	193	23	)	)	PUNCT
ajis02-1180	193	24	s65	s65	PROPN
ajis02-1180	193	25	australasian	australasian	ADJ
ajis02-1180	193	26	journal	journal	NOUN
ajis02-1180	193	27	of	of	ADP
ajis02-1180	193	28	information	information	NOUN
ajis02-1180	193	29	systems	system	NOUN
ajis02-1180	193	30	nathawitharana	nathawitharana	PROPN
ajis02-1180	193	31	,	,	PUNCT
ajis02-1180	193	32	alahakoon	alahakoon	PROPN
ajis02-1180	193	33	&	&	CCONJ
ajis02-1180	193	34	matharage	matharage	NOUN
ajis02-1180	193	35	2015	2015	NUM
ajis02-1180	193	36	,	,	PUNCT
ajis02-1180	193	37	vol	vol	NOUN
ajis02-1180	193	38	.	.	PROPN
ajis02-1180	193	39	19	19	NUM
ajis02-1180	193	40	,	,	PUNCT
ajis02-1180	193	41	pp	pp	PROPN
ajis02-1180	193	42	.	.	PUNCT
ajis02-1180	194	1	s55	s55	PROPN
ajis02-1180	194	2	-	-	PUNCT
ajis02-1180	194	3	s75	s75	NOUN
ajis02-1180	194	4	improving	improve	VERB
ajis02-1180	194	5	decision	decision	NOUN
ajis02-1180	194	6	value	value	NOUN
ajis02-1180	194	7	of	of	ADP
ajis02-1180	194	8	hierarchical	hierarchical	ADJ
ajis02-1180	194	9	text	text	NOUN
ajis02-1180	194	10	i	i	PROPN
ajis02-1180	194	11	d	d	PROPN
ajis02-1180	194	12	c1	c1	PROPN
ajis02-1180	194	13	c2	c2	PROPN
ajis02-1180	194	14	c3	c3	PROPN
ajis02-1180	194	15	c4	c4	PROPN
ajis02-1180	194	16	c5	c5	PROPN
ajis02-1180	194	17	c6	c6	PROPN
ajis02-1180	194	18	c1	c1	PROPN
ajis02-1180	194	19	0.45	0.45	NUM
ajis02-1180	194	20	0.51	0.51	NUM
ajis02-1180	194	21	0.42	0.42	NUM
ajis02-1180	194	22	0.52	0.52	NUM
ajis02-1180	194	23	0.43	0.43	NUM
ajis02-1180	194	24	c2	c2	PROPN
ajis02-1180	194	25	0.45	0.45	NUM
ajis02-1180	194	26	0.40	0.40	NUM
ajis02-1180	194	27	0.34	0.34	NUM
ajis02-1180	194	28	0.45	0.45	NUM
ajis02-1180	194	29	0.59	0.59	NUM
ajis02-1180	194	30	c3	c3	NOUN
ajis02-1180	194	31	0.51	0.51	NUM
ajis02-1180	194	32	0.40	0.40	NUM
ajis02-1180	194	33	0.36	0.36	NUM
ajis02-1180	194	34	0.52	0.52	NUM
ajis02-1180	194	35	0.38	0.38	NUM
ajis02-1180	194	36	c4	c4	NOUN
ajis02-1180	194	37	0.42	0.42	NUM
ajis02-1180	194	38	0.34	0.34	NUM
ajis02-1180	194	39	0.36	0.36	NUM
ajis02-1180	194	40	0.43	0.43	NUM
ajis02-1180	194	41	0.32	0.32	NUM
ajis02-1180	194	42	c5	c5	PROPN
ajis02-1180	194	43	0.52	0.52	NUM
ajis02-1180	194	44	0.45	0.45	NUM
ajis02-1180	194	45	0.52	0.52	NUM
ajis02-1180	194	46	0.43	0.43	NUM
ajis02-1180	194	47	0.42	0.42	NUM
ajis02-1180	194	48	c6	c6	PROPN
ajis02-1180	194	49	0.43	0.43	NUM
ajis02-1180	194	50	0.59	0.59	NUM
ajis02-1180	194	51	0.38	0.38	NUM
ajis02-1180	194	52	0.32	0.32	NUM
ajis02-1180	194	53	0.42	0.42	NUM
ajis02-1180	194	54	table	table	NOUN
ajis02-1180	194	55	4	4	NUM
ajis02-1180	194	56	:	:	PUNCT
ajis02-1180	194	57	overlap	overlap	NOUN
ajis02-1180	194	58	matrix	matrix	NOUN
ajis02-1180	194	59	of	of	ADP
ajis02-1180	194	60	each	each	DET
ajis02-1180	194	61	cluster	cluster	NOUN
ajis02-1180	194	62	pair	pair	NOUN
ajis02-1180	194	63	for	for	ADP
ajis02-1180	194	64	the	the	DET
ajis02-1180	194	65	1st	1st	ADJ
ajis02-1180	194	66	level	level	NOUN
ajis02-1180	194	67	of	of	ADP
ajis02-1180	194	68	the	the	DET
ajis02-1180	194	69	hierarchy	hierarchy	NOUN
ajis02-1180	194	70	for	for	ADP
ajis02-1180	194	71	close	close	ADJ
ajis02-1180	194	72	categories	category	NOUN
ajis02-1180	194	73	according	accord	VERB
ajis02-1180	194	74	to	to	PART
ajis02-1180	194	75	figure	figure	VERB
ajis02-1180	194	76	5	5	NUM
ajis02-1180	194	77	c1	c1	PROPN
ajis02-1180	194	78	,	,	PUNCT
ajis02-1180	194	79	c3	c3	PROPN
ajis02-1180	194	80	,	,	PUNCT
ajis02-1180	194	81	and	and	CCONJ
ajis02-1180	194	82	c5	c5	PROPN
ajis02-1180	194	83	clusters	cluster	NOUN
ajis02-1180	194	84	grouped	group	VERB
ajis02-1180	194	85	together	together	ADV
ajis02-1180	194	86	for	for	ADP
ajis02-1180	194	87	further	further	ADJ
ajis02-1180	194	88	analysis	analysis	NOUN
ajis02-1180	194	89	mainly	mainly	ADV
ajis02-1180	194	90	represented	represent	VERB
ajis02-1180	194	91	the	the	DET
ajis02-1180	194	92	‘	'	PUNCT
ajis02-1180	194	93	commercial	commercial	ADJ
ajis02-1180	194	94	banks	bank	NOUN
ajis02-1180	194	95	’	'	PUNCT
ajis02-1180	194	96	category	category	NOUN
ajis02-1180	194	97	and	and	CCONJ
ajis02-1180	194	98	the	the	DET
ajis02-1180	194	99	clusters	cluster	NOUN
ajis02-1180	194	100	c2	c2	PROPN
ajis02-1180	194	101	and	and	CCONJ
ajis02-1180	194	102	c6	c6	PROPN
ajis02-1180	194	103	represented	represent	VERB
ajis02-1180	194	104	the	the	DET
ajis02-1180	194	105	‘	'	PUNCT
ajis02-1180	194	106	insurance	insurance	NOUN
ajis02-1180	194	107	agencies	agency	NOUN
ajis02-1180	194	108	’	'	PUNCT
ajis02-1180	194	109	and	and	CCONJ
ajis02-1180	194	110	were	be	AUX
ajis02-1180	194	111	further	far	ADV
ajis02-1180	194	112	analysed	analyse	VERB
ajis02-1180	194	113	separately	separately	ADV
ajis02-1180	194	114	.	.	PUNCT
ajis02-1180	195	1	all	all	DET
ajis02-1180	195	2	the	the	DET
ajis02-1180	195	3	documents	document	NOUN
ajis02-1180	195	4	mapped	map	VERB
ajis02-1180	195	5	into	into	ADP
ajis02-1180	195	6	a	a	DET
ajis02-1180	195	7	group	group	NOUN
ajis02-1180	195	8	were	be	AUX
ajis02-1180	195	9	processed	process	VERB
ajis02-1180	195	10	using	use	VERB
ajis02-1180	195	11	a	a	DET
ajis02-1180	195	12	similar	similar	ADJ
ajis02-1180	195	13	approach	approach	NOUN
ajis02-1180	195	14	followed	follow	VERB
ajis02-1180	195	15	in	in	ADP
ajis02-1180	195	16	the	the	DET
ajis02-1180	195	17	first	first	ADJ
ajis02-1180	195	18	hierarchy	hierarchy	NOUN
ajis02-1180	195	19	level	level	NOUN
ajis02-1180	195	20	.	.	PUNCT
ajis02-1180	196	1	figure	figure	NOUN
ajis02-1180	196	2	6	6	NUM
ajis02-1180	196	3	illustrates	illustrate	VERB
ajis02-1180	196	4	the	the	DET
ajis02-1180	196	5	resultant	resultant	NOUN
ajis02-1180	196	6	map	map	NOUN
ajis02-1180	196	7	obtained	obtain	VERB
ajis02-1180	196	8	by	by	ADP
ajis02-1180	196	9	further	further	ADJ
ajis02-1180	196	10	analysis	analysis	NOUN
ajis02-1180	196	11	of	of	ADP
ajis02-1180	196	12	c1	c1	PROPN
ajis02-1180	196	13	,	,	PUNCT
ajis02-1180	196	14	c3	c3	PROPN
ajis02-1180	196	15	,	,	PUNCT
ajis02-1180	196	16	and	and	CCONJ
ajis02-1180	196	17	c5	c5	PROPN
ajis02-1180	196	18	clusters	cluster	NOUN
ajis02-1180	196	19	and	and	CCONJ
ajis02-1180	196	20	figure	figure	VERB
ajis02-1180	196	21	7	7	NUM
ajis02-1180	196	22	illustrates	illustrate	VERB
ajis02-1180	196	23	the	the	DET
ajis02-1180	196	24	resultant	resultant	NOUN
ajis02-1180	196	25	map	map	NOUN
ajis02-1180	196	26	obtained	obtain	VERB
ajis02-1180	196	27	by	by	ADP
ajis02-1180	196	28	further	further	ADJ
ajis02-1180	196	29	analysis	analysis	NOUN
ajis02-1180	196	30	of	of	ADP
ajis02-1180	196	31	c2	c2	PROPN
ajis02-1180	196	32	and	and	CCONJ
ajis02-1180	196	33	c6	c6	PROPN
ajis02-1180	196	34	clusters	cluster	NOUN
ajis02-1180	196	35	with	with	ADP
ajis02-1180	196	36	sf	sf	PROPN
ajis02-1180	196	37	0.3	0.3	NUM
ajis02-1180	196	38	.	.	PUNCT
ajis02-1180	197	1	figure	figure	VERB
ajis02-1180	197	2	6	6	NUM
ajis02-1180	197	3	:	:	PUNCT
ajis02-1180	197	4	gsom	gsom	PROPN
ajis02-1180	197	5	hierarchical	hierarchical	ADJ
ajis02-1180	197	6	clustering	clustering	NOUN
ajis02-1180	197	7	with	with	ADP
ajis02-1180	197	8	sf	sf	PROPN
ajis02-1180	197	9	0.3	0.3	NUM
ajis02-1180	197	10	for	for	ADP
ajis02-1180	197	11	merged	merged	ADJ
ajis02-1180	197	12	c1	c1	PROPN
ajis02-1180	197	13	,	,	PUNCT
ajis02-1180	197	14	c3	c3	PROPN
ajis02-1180	197	15	,	,	PUNCT
ajis02-1180	197	16	and	and	CCONJ
ajis02-1180	197	17	c5	c5	PROPN
ajis02-1180	197	18	clusters	cluster	NOUN
ajis02-1180	197	19	obtained	obtain	VERB
ajis02-1180	197	20	for	for	ADP
ajis02-1180	197	21	close	close	ADJ
ajis02-1180	197	22	categories	category	NOUN
ajis02-1180	197	23	in	in	ADP
ajis02-1180	197	24	the	the	DET
ajis02-1180	197	25	first	first	ADJ
ajis02-1180	197	26	level	level	NOUN
ajis02-1180	197	27	of	of	ADP
ajis02-1180	197	28	the	the	DET
ajis02-1180	197	29	hierarchy	hierarchy	NOUN
ajis02-1180	197	30	s66	s66	NOUN
ajis02-1180	197	31	australasian	australasian	ADJ
ajis02-1180	197	32	journal	journal	NOUN
ajis02-1180	197	33	of	of	ADP
ajis02-1180	197	34	information	information	NOUN
ajis02-1180	197	35	systems	system	NOUN
ajis02-1180	197	36	nathawitharana	nathawitharana	PROPN
ajis02-1180	197	37	,	,	PUNCT
ajis02-1180	197	38	alahakoon	alahakoon	PROPN
ajis02-1180	197	39	&	&	CCONJ
ajis02-1180	197	40	matharage	matharage	NOUN
ajis02-1180	197	41	2015	2015	NUM
ajis02-1180	197	42	,	,	PUNCT
ajis02-1180	197	43	vol	vol	NOUN
ajis02-1180	197	44	.	.	PROPN
ajis02-1180	198	1	19	19	NUM
ajis02-1180	198	2	,	,	PUNCT
ajis02-1180	198	3	pp	pp	PROPN
ajis02-1180	198	4	.	.	PUNCT
ajis02-1180	199	1	s55	s55	PROPN
ajis02-1180	199	2	-	-	PUNCT
ajis02-1180	199	3	s75	s75	NOUN
ajis02-1180	199	4	improving	improve	VERB
ajis02-1180	199	5	decision	decision	NOUN
ajis02-1180	199	6	value	value	NOUN
ajis02-1180	199	7	of	of	ADP
ajis02-1180	199	8	hierarchical	hierarchical	ADJ
ajis02-1180	199	9	text	text	NOUN
ajis02-1180	199	10	figure	figure	NOUN
ajis02-1180	199	11	7	7	NUM
ajis02-1180	199	12	:	:	PUNCT
ajis02-1180	199	13	gsom	gsom	VERB
ajis02-1180	199	14	hierarchical	hierarchical	ADJ
ajis02-1180	199	15	clustering	clustering	NOUN
ajis02-1180	199	16	with	with	ADP
ajis02-1180	199	17	sf	sf	PROPN
ajis02-1180	199	18	0.3	0.3	NUM
ajis02-1180	199	19	for	for	ADP
ajis02-1180	199	20	merged	merged	ADJ
ajis02-1180	199	21	c2	c2	PROPN
ajis02-1180	199	22	and	and	CCONJ
ajis02-1180	199	23	c6	c6	PROPN
ajis02-1180	199	24	clusters	cluster	NOUN
ajis02-1180	199	25	obtained	obtain	VERB
ajis02-1180	199	26	for	for	ADP
ajis02-1180	199	27	close	close	ADJ
ajis02-1180	199	28	categories	category	NOUN
ajis02-1180	199	29	in	in	ADP
ajis02-1180	199	30	the	the	DET
ajis02-1180	199	31	first	first	ADJ
ajis02-1180	199	32	level	level	NOUN
ajis02-1180	199	33	of	of	ADP
ajis02-1180	199	34	the	the	DET
ajis02-1180	199	35	hierarchy	hierarchy	NOUN
ajis02-1180	199	36	in	in	ADP
ajis02-1180	199	37	figure	figure	NOUN
ajis02-1180	199	38	6	6	NUM
ajis02-1180	199	39	,	,	PUNCT
ajis02-1180	199	40	merged	merged	ADJ
ajis02-1180	199	41	c1	c1	PROPN
ajis02-1180	199	42	,	,	PUNCT
ajis02-1180	199	43	c3	c3	PROPN
ajis02-1180	199	44	,	,	PUNCT
ajis02-1180	199	45	and	and	CCONJ
ajis02-1180	199	46	c5	c5	PROPN
ajis02-1180	199	47	cluster	cluster	NOUN
ajis02-1180	199	48	group	group	NOUN
ajis02-1180	199	49	was	be	AUX
ajis02-1180	199	50	separated	separate	VERB
ajis02-1180	199	51	to	to	ADP
ajis02-1180	199	52	9	9	NUM
ajis02-1180	199	53	sub	sub	NOUN
ajis02-1180	199	54	clusters	cluster	NOUN
ajis02-1180	199	55	.	.	PUNCT
ajis02-1180	200	1	out	out	ADP
ajis02-1180	200	2	of	of	ADP
ajis02-1180	200	3	the	the	DET
ajis02-1180	200	4	9	9	NUM
ajis02-1180	200	5	sub	sub	NOUN
ajis02-1180	200	6	clusters	cluster	NOUN
ajis02-1180	200	7	8	8	NUM
ajis02-1180	200	8	represented	represent	VERB
ajis02-1180	200	9	the	the	DET
ajis02-1180	200	10	‘	'	PUNCT
ajis02-1180	200	11	commercial	commercial	ADJ
ajis02-1180	200	12	banks	bank	NOUN
ajis02-1180	200	13	’	'	PUNCT
ajis02-1180	200	14	category	category	NOUN
ajis02-1180	200	15	and	and	CCONJ
ajis02-1180	200	16	1	1	NUM
ajis02-1180	200	17	represented	represent	VERB
ajis02-1180	200	18	the	the	DET
ajis02-1180	200	19	‘	'	PUNCT
ajis02-1180	200	20	insurance	insurance	NOUN
ajis02-1180	200	21	agencies	agency	NOUN
ajis02-1180	200	22	’	'	PUNCT
ajis02-1180	200	23	.	.	PUNCT
ajis02-1180	201	1	the	the	DET
ajis02-1180	201	2	initial	initial	ADJ
ajis02-1180	201	3	clusters	cluster	NOUN
ajis02-1180	201	4	which	which	PRON
ajis02-1180	201	5	were	be	AUX
ajis02-1180	201	6	further	far	ADV
ajis02-1180	201	7	spread	spread	VERB
ajis02-1180	201	8	in	in	ADP
ajis02-1180	201	9	this	this	DET
ajis02-1180	201	10	second	second	ADJ
ajis02-1180	201	11	level	level	NOUN
ajis02-1180	201	12	of	of	ADP
ajis02-1180	201	13	the	the	DET
ajis02-1180	201	14	hierarchy	hierarchy	NOUN
ajis02-1180	201	15	were	be	AUX
ajis02-1180	201	16	mainly	mainly	ADV
ajis02-1180	201	17	representing	represent	VERB
ajis02-1180	201	18	‘	'	PUNCT
ajis02-1180	201	19	commercial	commercial	ADJ
ajis02-1180	201	20	banks	bank	NOUN
ajis02-1180	201	21	’	'	PUNCT
ajis02-1180	201	22	category	category	NOUN
ajis02-1180	201	23	.	.	PUNCT
ajis02-1180	202	1	however	however	ADV
ajis02-1180	202	2	in	in	ADP
ajis02-1180	202	3	this	this	DET
ajis02-1180	202	4	second	second	ADJ
ajis02-1180	202	5	hierarchy	hierarchy	NOUN
ajis02-1180	202	6	level	level	NOUN
ajis02-1180	202	7	,	,	PUNCT
ajis02-1180	202	8	we	we	PRON
ajis02-1180	202	9	observe	observe	VERB
ajis02-1180	202	10	a	a	DET
ajis02-1180	202	11	cluster	cluster	NOUN
ajis02-1180	202	12	which	which	PRON
ajis02-1180	202	13	was	be	AUX
ajis02-1180	202	14	well	well	ADV
ajis02-1180	202	15	separated	separate	VERB
ajis02-1180	202	16	from	from	ADP
ajis02-1180	202	17	other	other	ADJ
ajis02-1180	202	18	clusters	cluster	NOUN
ajis02-1180	202	19	and	and	CCONJ
ajis02-1180	202	20	represent	represent	VERB
ajis02-1180	202	21	the	the	DET
ajis02-1180	202	22	‘	'	PUNCT
ajis02-1180	202	23	insurance	insurance	NOUN
ajis02-1180	202	24	agencies	agency	NOUN
ajis02-1180	202	25	’	'	PUNCT
ajis02-1180	202	26	category	category	NOUN
ajis02-1180	202	27	which	which	PRON
ajis02-1180	202	28	confirm	confirm	VERB
ajis02-1180	202	29	that	that	SCONJ
ajis02-1180	202	30	few	few	ADJ
ajis02-1180	202	31	‘	'	PUNCT
ajis02-1180	202	32	insurance	insurance	NOUN
ajis02-1180	202	33	agencies	agency	NOUN
ajis02-1180	202	34	’	'	PUNCT
ajis02-1180	202	35	documents	document	NOUN
ajis02-1180	202	36	included	include	VERB
ajis02-1180	202	37	in	in	ADP
ajis02-1180	202	38	the	the	DET
ajis02-1180	202	39	clusters	cluster	NOUN
ajis02-1180	202	40	c1	c1	PROPN
ajis02-1180	202	41	,	,	PUNCT
ajis02-1180	202	42	c3	c3	PROPN
ajis02-1180	202	43	,	,	PUNCT
ajis02-1180	202	44	and	and	CCONJ
ajis02-1180	202	45	c5	c5	PROPN
ajis02-1180	202	46	were	be	AUX
ajis02-1180	202	47	separated	separate	VERB
ajis02-1180	202	48	in	in	ADP
ajis02-1180	202	49	this	this	DET
ajis02-1180	202	50	second	second	ADJ
ajis02-1180	202	51	level	level	NOUN
ajis02-1180	202	52	of	of	ADP
ajis02-1180	202	53	the	the	DET
ajis02-1180	202	54	hierarchy	hierarchy	NOUN
ajis02-1180	202	55	.	.	PUNCT
ajis02-1180	203	1	these	these	DET
ajis02-1180	203	2	results	result	NOUN
ajis02-1180	203	3	prove	prove	VERB
ajis02-1180	203	4	the	the	DET
ajis02-1180	203	5	ability	ability	NOUN
ajis02-1180	203	6	of	of	ADP
ajis02-1180	203	7	the	the	DET
ajis02-1180	203	8	gsom	gsom	PROPN
ajis02-1180	203	9	algorithm	algorithm	NOUN
ajis02-1180	203	10	to	to	PART
ajis02-1180	203	11	well	well	ADV
ajis02-1180	203	12	separate	separate	ADJ
ajis02-1180	203	13	text	text	NOUN
ajis02-1180	203	14	documents	document	NOUN
ajis02-1180	203	15	belonging	belong	VERB
ajis02-1180	203	16	to	to	ADP
ajis02-1180	203	17	different	different	ADJ
ajis02-1180	203	18	categories	category	NOUN
ajis02-1180	203	19	using	use	VERB
ajis02-1180	203	20	the	the	DET
ajis02-1180	203	21	terms	term	NOUN
ajis02-1180	203	22	when	when	SCONJ
ajis02-1180	203	23	high	high	ADJ
ajis02-1180	203	24	sf	sf	NOUN
ajis02-1180	203	25	value	value	NOUN
ajis02-1180	203	26	is	be	AUX
ajis02-1180	203	27	used	use	VERB
ajis02-1180	203	28	.	.	PUNCT
ajis02-1180	204	1	we	we	PRON
ajis02-1180	204	2	have	have	AUX
ajis02-1180	204	3	calculated	calculate	VERB
ajis02-1180	204	4	the	the	PRON
ajis02-1180	204	5	of	of	ADP
ajis02-1180	204	6	for	for	ADP
ajis02-1180	204	7	each	each	DET
ajis02-1180	204	8	sub	sub	NOUN
ajis02-1180	204	9	cluster	cluster	NOUN
ajis02-1180	204	10	pair	pair	NOUN
ajis02-1180	204	11	and	and	CCONJ
ajis02-1180	204	12	relevant	relevant	ADJ
ajis02-1180	204	13	overlap	overlap	NOUN
ajis02-1180	204	14	matrix	matrix	NOUN
ajis02-1180	204	15	is	be	AUX
ajis02-1180	204	16	given	give	VERB
ajis02-1180	204	17	in	in	ADP
ajis02-1180	204	18	table	table	NOUN
ajis02-1180	204	19	5	5	NUM
ajis02-1180	204	20	.	.	PUNCT
ajis02-1180	204	21	according	accord	VERB
ajis02-1180	204	22	to	to	ADP
ajis02-1180	204	23	table	table	NOUN
ajis02-1180	204	24	5	5	NUM
ajis02-1180	204	25	some	some	DET
ajis02-1180	204	26	clusters	cluster	NOUN
ajis02-1180	204	27	still	still	ADV
ajis02-1180	204	28	have	have	VERB
ajis02-1180	204	29	high	high	ADJ
ajis02-1180	204	30	term	term	NOUN
ajis02-1180	204	31	overlap	overlap	NOUN
ajis02-1180	204	32	which	which	PRON
ajis02-1180	204	33	exceeds	exceed	VERB
ajis02-1180	204	34	the	the	DET
ajis02-1180	204	35	predefined	predefine	VERB
ajis02-1180	204	36	ot	ot	NOUN
ajis02-1180	204	37	.	.	PUNCT
ajis02-1180	205	1	in	in	ADP
ajis02-1180	205	2	addition	addition	NOUN
ajis02-1180	205	3	figure	figure	NOUN
ajis02-1180	205	4	6	6	NUM
ajis02-1180	205	5	illustrate	illustrate	VERB
ajis02-1180	205	6	that	that	SCONJ
ajis02-1180	205	7	several	several	ADJ
ajis02-1180	205	8	most	most	ADV
ajis02-1180	205	9	important	important	ADJ
ajis02-1180	205	10	terms	term	NOUN
ajis02-1180	205	11	are	be	AUX
ajis02-1180	205	12	repeated	repeat	VERB
ajis02-1180	205	13	across	across	ADP
ajis02-1180	205	14	sub	sub	NOUN
ajis02-1180	205	15	clusters	cluster	NOUN
ajis02-1180	205	16	so	so	SCONJ
ajis02-1180	205	17	clusters	cluster	NOUN
ajis02-1180	205	18	are	be	AUX
ajis02-1180	205	19	not	not	PART
ajis02-1180	205	20	well	well	ADV
ajis02-1180	205	21	separated	separate	VERB
ajis02-1180	205	22	based	base	VERB
ajis02-1180	205	23	on	on	ADP
ajis02-1180	205	24	terms	term	NOUN
ajis02-1180	205	25	.	.	PUNCT
ajis02-1180	206	1	in	in	ADP
ajis02-1180	206	2	order	order	NOUN
ajis02-1180	206	3	to	to	PART
ajis02-1180	206	4	verify	verify	VERB
ajis02-1180	206	5	whether	whether	SCONJ
ajis02-1180	206	6	it	it	PRON
ajis02-1180	206	7	is	be	AUX
ajis02-1180	206	8	possible	possible	ADJ
ajis02-1180	206	9	to	to	PART
ajis02-1180	206	10	obtain	obtain	VERB
ajis02-1180	206	11	higher	high	ADJ
ajis02-1180	206	12	cluster	cluster	NOUN
ajis02-1180	206	13	purity	purity	NOUN
ajis02-1180	206	14	we	we	PRON
ajis02-1180	206	15	can	can	AUX
ajis02-1180	206	16	merge	merge	VERB
ajis02-1180	206	17	sub	sub	NOUN
ajis02-1180	206	18	clusters	cluster	NOUN
ajis02-1180	206	19	with	with	ADP
ajis02-1180	206	20	of	of	ADP
ajis02-1180	206	21	greater	great	ADJ
ajis02-1180	206	22	than	than	ADP
ajis02-1180	206	23	the	the	DET
ajis02-1180	206	24	ot	ot	NOUN
ajis02-1180	206	25	by	by	ADP
ajis02-1180	206	26	following	follow	VERB
ajis02-1180	206	27	the	the	DET
ajis02-1180	206	28	steps	step	NOUN
ajis02-1180	206	29	in	in	ADP
ajis02-1180	206	30	the	the	DET
ajis02-1180	206	31	proposed	propose	VERB
ajis02-1180	206	32	methodology	methodology	NOUN
ajis02-1180	206	33	and	and	CCONJ
ajis02-1180	206	34	further	far	ADV
ajis02-1180	206	35	analyse	analyse	VERB
ajis02-1180	206	36	them	they	PRON
ajis02-1180	206	37	with	with	ADP
ajis02-1180	206	38	higher	high	ADJ
ajis02-1180	206	39	sf	sf	NOUN
ajis02-1180	206	40	value	value	NOUN
ajis02-1180	206	41	than	than	ADP
ajis02-1180	206	42	0.3	0.3	NUM
ajis02-1180	206	43	.	.	PUNCT
ajis02-1180	207	1	table	table	NOUN
ajis02-1180	207	2	5	5	NUM
ajis02-1180	207	3	:	:	PUNCT
ajis02-1180	207	4	overlap	overlap	NOUN
ajis02-1180	207	5	matrix	matrix	NOUN
ajis02-1180	207	6	of	of	ADP
ajis02-1180	207	7	each	each	DET
ajis02-1180	207	8	cluster	cluster	NOUN
ajis02-1180	207	9	pair	pair	NOUN
ajis02-1180	207	10	for	for	ADP
ajis02-1180	207	11	the	the	DET
ajis02-1180	207	12	2nd	2nd	ADJ
ajis02-1180	207	13	level	level	NOUN
ajis02-1180	207	14	of	of	ADP
ajis02-1180	207	15	the	the	DET
ajis02-1180	207	16	hierarchy	hierarchy	NOUN
ajis02-1180	207	17	for	for	ADP
ajis02-1180	207	18	merged	merged	ADJ
ajis02-1180	207	19	c1	c1	PROPN
ajis02-1180	207	20	,	,	PUNCT
ajis02-1180	207	21	c3	c3	PROPN
ajis02-1180	207	22	,	,	PUNCT
ajis02-1180	207	23	and	and	CCONJ
ajis02-1180	207	24	c5	c5	PROPN
ajis02-1180	207	25	clusters	cluster	NOUN
ajis02-1180	207	26	obtained	obtain	VERB
ajis02-1180	207	27	for	for	ADP
ajis02-1180	207	28	close	close	ADJ
ajis02-1180	207	29	categories	category	NOUN
ajis02-1180	207	30	according	accord	VERB
ajis02-1180	207	31	to	to	PART
ajis02-1180	207	32	figure	figure	VERB
ajis02-1180	207	33	7	7	NUM
ajis02-1180	207	34	,	,	PUNCT
ajis02-1180	207	35	c2	c2	PROPN
ajis02-1180	207	36	and	and	CCONJ
ajis02-1180	207	37	c6	c6	PROPN
ajis02-1180	207	38	clusters	cluster	NOUN
ajis02-1180	207	39	were	be	AUX
ajis02-1180	207	40	separated	separate	VERB
ajis02-1180	207	41	to	to	ADP
ajis02-1180	207	42	five	five	NUM
ajis02-1180	207	43	sub	sub	NOUN
ajis02-1180	207	44	clusters	cluster	NOUN
ajis02-1180	207	45	.	.	PUNCT
ajis02-1180	208	1	the	the	DET
ajis02-1180	208	2	clusters	cluster	NOUN
ajis02-1180	208	3	c2	c2	PROPN
ajis02-1180	208	4	and	and	CCONJ
ajis02-1180	208	5	c6	c6	PROPN
ajis02-1180	208	6	mainly	mainly	ADV
ajis02-1180	208	7	represented	represent	VERB
ajis02-1180	208	8	the	the	DET
ajis02-1180	208	9	‘	'	PUNCT
ajis02-1180	208	10	insurance	insurance	NOUN
ajis02-1180	208	11	agencies	agency	NOUN
ajis02-1180	208	12	’	'	PUNCT
ajis02-1180	208	13	category	category	NOUN
ajis02-1180	208	14	and	and	CCONJ
ajis02-1180	208	15	the	the	DET
ajis02-1180	208	16	resultant	resultant	NOUN
ajis02-1180	208	17	sub	sub	NOUN
ajis02-1180	208	18	clusters	cluster	NOUN
ajis02-1180	208	19	were	be	AUX
ajis02-1180	208	20	also	also	ADV
ajis02-1180	208	21	representing	represent	VERB
ajis02-1180	208	22	the	the	DET
ajis02-1180	208	23	same	same	ADJ
ajis02-1180	208	24	category	category	NOUN
ajis02-1180	208	25	.	.	PUNCT
ajis02-1180	209	1	overlap	overlap	NOUN
ajis02-1180	209	2	matrix	matrix	NOUN
ajis02-1180	209	3	for	for	ADP
ajis02-1180	209	4	further	further	ADJ
ajis02-1180	209	5	analysis	analysis	NOUN
ajis02-1180	209	6	of	of	ADP
ajis02-1180	209	7	merged	merged	ADJ
ajis02-1180	209	8	c2	c2	PROPN
ajis02-1180	209	9	i	i	PROPN
ajis02-1180	209	10	d	d	PROPN
ajis02-1180	209	11	sc1	sc1	PROPN
ajis02-1180	209	12	sc2	sc2	PROPN
ajis02-1180	209	13	sc3	sc3	PROPN
ajis02-1180	209	14	sc4	sc4	PROPN
ajis02-1180	209	15	sc5	sc5	PROPN
ajis02-1180	209	16	sc6	sc6	PROPN
ajis02-1180	209	17	sc7	sc7	NOUN
ajis02-1180	209	18	sc8	sc8	NOUN
ajis02-1180	209	19	sc9	sc9	NOUN
ajis02-1180	209	20	sc1	sc1	NOUN
ajis02-1180	209	21	0.48	0.48	NUM
ajis02-1180	209	22	0.47	0.47	NUM
ajis02-1180	209	23	0.37	0.37	NUM
ajis02-1180	209	24	0.63	0.63	NUM
ajis02-1180	209	25	0.44	0.44	NUM
ajis02-1180	209	26	0.41	0.41	NUM
ajis02-1180	209	27	0.42	0.42	NUM
ajis02-1180	209	28	0.41	0.41	NUM
ajis02-1180	209	29	sc2	sc2	NOUN
ajis02-1180	209	30	0.48	0.48	NUM
ajis02-1180	209	31	0.46	0.46	NUM
ajis02-1180	209	32	0.45	0.45	NUM
ajis02-1180	209	33	0.47	0.47	NUM
ajis02-1180	209	34	0.54	0.54	NUM
ajis02-1180	209	35	0.50	0.50	NUM
ajis02-1180	209	36	0.51	0.51	NUM
ajis02-1180	209	37	0.46	0.46	NUM
ajis02-1180	209	38	sc3	sc3	PROPN
ajis02-1180	209	39	0.47	0.47	NUM
ajis02-1180	209	40	0.46	0.46	NUM
ajis02-1180	209	41	0.44	0.44	NUM
ajis02-1180	209	42	0.45	0.45	NUM
ajis02-1180	209	43	0.42	0.42	NUM
ajis02-1180	209	44	0.46	0.46	NUM
ajis02-1180	209	45	0.40	0.40	NUM
ajis02-1180	209	46	0.43	0.43	NUM
ajis02-1180	209	47	sc4	sc4	NOUN
ajis02-1180	209	48	0.37	0.37	NUM
ajis02-1180	209	49	0.45	0.45	NUM
ajis02-1180	209	50	0.44	0.44	NUM
ajis02-1180	209	51	0.37	0.37	NUM
ajis02-1180	209	52	0.41	0.41	NUM
ajis02-1180	209	53	0.56	0.56	NUM
ajis02-1180	209	54	0.37	0.37	NUM
ajis02-1180	209	55	0.39	0.39	NUM
ajis02-1180	209	56	sc5	sc5	VERB
ajis02-1180	209	57	0.63	0.63	NUM
ajis02-1180	209	58	0.47	0.47	NUM
ajis02-1180	209	59	0.45	0.45	NUM
ajis02-1180	209	60	0.37	0.37	NUM
ajis02-1180	209	61	0.44	0.44	NUM
ajis02-1180	209	62	0.41	0.41	NUM
ajis02-1180	209	63	0.43	0.43	NUM
ajis02-1180	209	64	0.41	0.41	NUM
ajis02-1180	209	65	sc6	sc6	ADJ
ajis02-1180	209	66	0.44	0.44	NUM
ajis02-1180	209	67	0.54	0.54	NUM
ajis02-1180	209	68	0.42	0.42	NUM
ajis02-1180	209	69	0.41	0.41	NUM
ajis02-1180	209	70	0.44	0.44	NUM
ajis02-1180	209	71	0.44	0.44	NUM
ajis02-1180	209	72	0.63	0.63	NUM
ajis02-1180	209	73	0.54	0.54	NUM
ajis02-1180	209	74	sc7	sc7	NOUN
ajis02-1180	209	75	0.41	0.41	NUM
ajis02-1180	209	76	0.50	0.50	NUM
ajis02-1180	209	77	0.46	0.46	NUM
ajis02-1180	209	78	0.56	0.56	NUM
ajis02-1180	209	79	0.41	0.41	NUM
ajis02-1180	209	80	0.44	0.44	NUM
ajis02-1180	209	81	0.40	0.40	NUM
ajis02-1180	209	82	0.43	0.43	NUM
ajis02-1180	209	83	sc8	sc8	NOUN
ajis02-1180	209	84	0.42	0.42	NUM
ajis02-1180	209	85	0.51	0.51	NUM
ajis02-1180	209	86	0.40	0.40	NUM
ajis02-1180	209	87	0.37	0.37	NUM
ajis02-1180	209	88	0.43	0.43	NUM
ajis02-1180	209	89	0.63	0.63	NUM
ajis02-1180	209	90	0.40	0.40	NUM
ajis02-1180	209	91	0.56	0.56	NUM
ajis02-1180	209	92	sc9	sc9	NOUN
ajis02-1180	209	93	0.41	0.41	NUM
ajis02-1180	209	94	0.46	0.46	NUM
ajis02-1180	209	95	0.43	0.43	NUM
ajis02-1180	209	96	0.39	0.39	NUM
ajis02-1180	209	97	0.41	0.41	NUM
ajis02-1180	209	98	0.54	0.54	NUM
ajis02-1180	209	99	0.43	0.43	NUM
ajis02-1180	209	100	0.56	0.56	NUM
ajis02-1180	209	101	s67	s67	NOUN
ajis02-1180	209	102	australasian	australasian	ADJ
ajis02-1180	209	103	journal	journal	NOUN
ajis02-1180	209	104	of	of	ADP
ajis02-1180	209	105	information	information	NOUN
ajis02-1180	209	106	systems	system	NOUN
ajis02-1180	209	107	nathawitharana	nathawitharana	PROPN
ajis02-1180	209	108	,	,	PUNCT
ajis02-1180	209	109	alahakoon	alahakoon	PROPN
ajis02-1180	209	110	&	&	CCONJ
ajis02-1180	209	111	matharage	matharage	NOUN
ajis02-1180	209	112	2015	2015	NUM
ajis02-1180	209	113	,	,	PUNCT
ajis02-1180	209	114	vol	vol	NOUN
ajis02-1180	209	115	.	.	PROPN
ajis02-1180	210	1	19	19	NUM
ajis02-1180	210	2	,	,	PUNCT
ajis02-1180	210	3	pp	pp	PROPN
ajis02-1180	210	4	.	.	PUNCT
ajis02-1180	211	1	s55	s55	PROPN
ajis02-1180	211	2	-	-	PUNCT
ajis02-1180	211	3	s75	s75	NOUN
ajis02-1180	211	4	improving	improve	VERB
ajis02-1180	211	5	decision	decision	NOUN
ajis02-1180	211	6	value	value	NOUN
ajis02-1180	211	7	of	of	ADP
ajis02-1180	211	8	hierarchical	hierarchical	ADJ
ajis02-1180	211	9	text	text	NOUN
ajis02-1180	211	10	and	and	CCONJ
ajis02-1180	211	11	c6	c6	PROPN
ajis02-1180	211	12	clusters	cluster	NOUN
ajis02-1180	211	13	is	be	AUX
ajis02-1180	211	14	given	give	VERB
ajis02-1180	211	15	in	in	ADP
ajis02-1180	211	16	table	table	NOUN
ajis02-1180	211	17	6	6	NUM
ajis02-1180	211	18	and	and	CCONJ
ajis02-1180	211	19	according	accord	VERB
ajis02-1180	211	20	to	to	ADP
ajis02-1180	211	21	table	table	NOUN
ajis02-1180	211	22	6	6	NUM
ajis02-1180	211	23	we	we	PRON
ajis02-1180	211	24	can	can	AUX
ajis02-1180	211	25	say	say	VERB
ajis02-1180	211	26	that	that	SCONJ
ajis02-1180	211	27	none	none	NOUN
ajis02-1180	211	28	of	of	ADP
ajis02-1180	211	29	the	the	DET
ajis02-1180	211	30	sub	sub	NOUN
ajis02-1180	211	31	clusters	cluster	NOUN
ajis02-1180	211	32	exceeded	exceed	VERB
ajis02-1180	211	33	the	the	DET
ajis02-1180	211	34	ot	ot	NOUN
ajis02-1180	211	35	such	such	ADJ
ajis02-1180	211	36	that	that	SCONJ
ajis02-1180	211	37	no	no	DET
ajis02-1180	211	38	further	further	ADJ
ajis02-1180	211	39	analysis	analysis	NOUN
ajis02-1180	211	40	was	be	AUX
ajis02-1180	211	41	required	require	VERB
ajis02-1180	211	42	.	.	PUNCT
ajis02-1180	212	1	figure	figure	NOUN
ajis02-1180	212	2	8	8	NUM
ajis02-1180	212	3	presents	present	VERB
ajis02-1180	212	4	the	the	DET
ajis02-1180	212	5	gsom	gsom	PROPN
ajis02-1180	212	6	hierarchical	hierarchical	ADJ
ajis02-1180	212	7	clustering	clustering	ADJ
ajis02-1180	212	8	overview	overview	NOUN
ajis02-1180	212	9	diagram	diagram	NOUN
ajis02-1180	212	10	for	for	ADP
ajis02-1180	212	11	the	the	DET
ajis02-1180	212	12	selected	select	VERB
ajis02-1180	212	13	close	close	ADJ
ajis02-1180	212	14	categories	category	NOUN
ajis02-1180	212	15	including	include	VERB
ajis02-1180	212	16	the	the	DET
ajis02-1180	212	17	distribution	distribution	NOUN
ajis02-1180	212	18	of	of	ADP
ajis02-1180	212	19	the	the	DET
ajis02-1180	212	20	categories	category	NOUN
ajis02-1180	212	21	for	for	ADP
ajis02-1180	212	22	each	each	DET
ajis02-1180	212	23	cluster	cluster	NOUN
ajis02-1180	212	24	.	.	PUNCT
ajis02-1180	213	1	i	i	PRON
ajis02-1180	213	2	d	d	PROPN
ajis02-1180	213	3	sc1	sc1	PROPN
ajis02-1180	213	4	sc2	sc2	PROPN
ajis02-1180	213	5	sc3	sc3	PROPN
ajis02-1180	213	6	sc4	sc4	PROPN
ajis02-1180	213	7	sc5	sc5	PROPN
ajis02-1180	213	8	sc1	sc1	PROPN
ajis02-1180	213	9	0.43	0.43	NUM
ajis02-1180	213	10	0.35	0.35	NUM
ajis02-1180	213	11	0.36	0.36	NUM
ajis02-1180	213	12	0.34	0.34	NUM
ajis02-1180	213	13	sc2	sc2	NOUN
ajis02-1180	213	14	0.43	0.43	NUM
ajis02-1180	213	15	0.42	0.42	NUM
ajis02-1180	213	16	0.43	0.43	NUM
ajis02-1180	213	17	0.42	0.42	NUM
ajis02-1180	213	18	sc3	sc3	NOUN
ajis02-1180	213	19	0.35	0.35	NUM
ajis02-1180	213	20	0.42	0.42	NUM
ajis02-1180	213	21	0.43	0.43	NUM
ajis02-1180	213	22	0.28	0.28	NUM
ajis02-1180	213	23	sc4	sc4	NOUN
ajis02-1180	213	24	0.36	0.36	NUM
ajis02-1180	213	25	0.43	0.43	NUM
ajis02-1180	213	26	0.43	0.43	NUM
ajis02-1180	213	27	0.32	0.32	NUM
ajis02-1180	213	28	sc5	sc5	VERB
ajis02-1180	213	29	0.34	0.34	NUM
ajis02-1180	213	30	0.42	0.42	NUM
ajis02-1180	213	31	0.28	0.28	NUM
ajis02-1180	213	32	0.32	0.32	NUM
ajis02-1180	213	33	table	table	NOUN
ajis02-1180	213	34	6	6	NUM
ajis02-1180	213	35	:	:	PUNCT
ajis02-1180	213	36	overlap	overlap	NOUN
ajis02-1180	213	37	matrix	matrix	NOUN
ajis02-1180	213	38	of	of	ADP
ajis02-1180	213	39	each	each	DET
ajis02-1180	213	40	cluster	cluster	NOUN
ajis02-1180	213	41	pair	pair	NOUN
ajis02-1180	213	42	for	for	ADP
ajis02-1180	213	43	the	the	DET
ajis02-1180	213	44	2nd	2nd	ADJ
ajis02-1180	213	45	level	level	NOUN
ajis02-1180	213	46	of	of	ADP
ajis02-1180	213	47	the	the	DET
ajis02-1180	213	48	hierarchy	hierarchy	NOUN
ajis02-1180	213	49	for	for	ADP
ajis02-1180	213	50	merged	merged	ADJ
ajis02-1180	213	51	c2	c2	PROPN
ajis02-1180	213	52	and	and	CCONJ
ajis02-1180	213	53	c6	c6	PROPN
ajis02-1180	213	54	clusters	cluster	NOUN
ajis02-1180	213	55	obtained	obtain	VERB
ajis02-1180	213	56	for	for	ADP
ajis02-1180	213	57	close	close	ADJ
ajis02-1180	213	58	categories	category	NOUN
ajis02-1180	213	59	figure	figure	VERB
ajis02-1180	213	60	8	8	NUM
ajis02-1180	213	61	:	:	PUNCT
ajis02-1180	213	62	gsom	gsom	VERB
ajis02-1180	213	63	hierarchical	hierarchical	ADJ
ajis02-1180	213	64	clustering	clustering	ADJ
ajis02-1180	213	65	overview	overview	NOUN
ajis02-1180	213	66	diagram	diagram	NOUN
ajis02-1180	213	67	for	for	ADP
ajis02-1180	213	68	two	two	NUM
ajis02-1180	213	69	close	close	ADJ
ajis02-1180	213	70	categories	category	NOUN
ajis02-1180	213	71	from	from	ADP
ajis02-1180	213	72	the	the	DET
ajis02-1180	213	73	dataset	dataset	NOUN
ajis02-1180	213	74	4.2.3	4.2.3	NUM
ajis02-1180	213	75	experiment	experiment	NOUN
ajis02-1180	213	76	results	result	NOUN
ajis02-1180	213	77	obtained	obtain	VERB
ajis02-1180	213	78	for	for	ADP
ajis02-1180	213	79	mixture	mixture	NOUN
ajis02-1180	213	80	of	of	ADP
ajis02-1180	213	81	close	close	ADJ
ajis02-1180	213	82	and	and	CCONJ
ajis02-1180	213	83	distant	distant	ADJ
ajis02-1180	213	84	categories	category	NOUN
ajis02-1180	213	85	for	for	ADP
ajis02-1180	213	86	this	this	DET
ajis02-1180	213	87	experiment	experiment	NOUN
ajis02-1180	213	88	we	we	PRON
ajis02-1180	213	89	have	have	AUX
ajis02-1180	213	90	selected	select	VERB
ajis02-1180	213	91	‘	'	PUNCT
ajis02-1180	213	92	commercial	commercial	ADJ
ajis02-1180	213	93	banks	bank	NOUN
ajis02-1180	213	94	’	'	PUNCT
ajis02-1180	213	95	(	(	PUNCT
ajis02-1180	213	96	a	a	NOUN
ajis02-1180	213	97	)	)	PUNCT
ajis02-1180	213	98	,	,	PUNCT
ajis02-1180	213	99	‘	'	PUNCT
ajis02-1180	213	100	insurance	insurance	NOUN
ajis02-1180	213	101	agencies	agency	NOUN
ajis02-1180	213	102	’	'	PUNCT
ajis02-1180	213	103	(	(	PUNCT
ajis02-1180	213	104	c	c	NOUN
ajis02-1180	213	105	)	)	PUNCT
ajis02-1180	213	106	,	,	PUNCT
ajis02-1180	213	107	and	and	CCONJ
ajis02-1180	213	108	‘	'	PUNCT
ajis02-1180	213	109	soccer	soccer	NOUN
ajis02-1180	213	110	’	'	PUNCT
ajis02-1180	213	111	(	(	PUNCT
ajis02-1180	213	112	i	i	NOUN
ajis02-1180	213	113	)	)	PUNCT
ajis02-1180	213	114	.	.	PUNCT
ajis02-1180	214	1	‘	'	PUNCT
ajis02-1180	214	2	commercial	commercial	ADJ
ajis02-1180	214	3	banks	bank	NOUN
ajis02-1180	214	4	’	'	PUNCT
ajis02-1180	214	5	and	and	CCONJ
ajis02-1180	214	6	‘	'	PUNCT
ajis02-1180	214	7	insurance	insurance	NOUN
ajis02-1180	214	8	agencies	agency	NOUN
ajis02-1180	214	9	’	'	PUNCT
ajis02-1180	214	10	are	be	AUX
ajis02-1180	214	11	associated	associate	VERB
ajis02-1180	214	12	with	with	ADP
ajis02-1180	214	13	the	the	DET
ajis02-1180	214	14	same	same	ADJ
ajis02-1180	214	15	theme	theme	NOUN
ajis02-1180	214	16	which	which	PRON
ajis02-1180	214	17	is	be	AUX
ajis02-1180	214	18	‘	'	PUNCT
ajis02-1180	214	19	banking	banking	NOUN
ajis02-1180	214	20	and	and	CCONJ
ajis02-1180	214	21	finance	finance	NOUN
ajis02-1180	214	22	’	'	PUNCT
ajis02-1180	214	23	.	.	PUNCT
ajis02-1180	215	1	however	however	ADV
ajis02-1180	215	2	‘	'	PUNCT
ajis02-1180	215	3	soccer	soccer	NOUN
ajis02-1180	215	4	’	'	PUNCT
ajis02-1180	215	5	is	be	AUX
ajis02-1180	215	6	associated	associate	VERB
ajis02-1180	215	7	with	with	ADP
ajis02-1180	215	8	a	a	DET
ajis02-1180	215	9	different	different	ADJ
ajis02-1180	215	10	theme	theme	NOUN
ajis02-1180	215	11	which	which	PRON
ajis02-1180	215	12	is	be	AUX
ajis02-1180	215	13	‘	'	PUNCT
ajis02-1180	215	14	sport	sport	NOUN
ajis02-1180	215	15	’	'	PUNCT
ajis02-1180	215	16	.	.	PUNCT
ajis02-1180	216	1	during	during	ADP
ajis02-1180	216	2	this	this	DET
ajis02-1180	216	3	experiment	experiment	NOUN
ajis02-1180	216	4	requirement	requirement	NOUN
ajis02-1180	216	5	for	for	ADP
ajis02-1180	216	6	running	run	VERB
ajis02-1180	216	7	more	more	ADJ
ajis02-1180	216	8	iterations	iteration	NOUN
ajis02-1180	216	9	was	be	AUX
ajis02-1180	216	10	expected	expect	VERB
ajis02-1180	216	11	as	as	SCONJ
ajis02-1180	216	12	close	close	ADJ
ajis02-1180	216	13	and	and	CCONJ
ajis02-1180	216	14	distant	distant	ADJ
ajis02-1180	216	15	categories	category	NOUN
ajis02-1180	216	16	tend	tend	VERB
ajis02-1180	216	17	to	to	PART
ajis02-1180	216	18	separate	separate	VERB
ajis02-1180	216	19	in	in	ADP
ajis02-1180	216	20	the	the	DET
ajis02-1180	216	21	first	first	ADJ
ajis02-1180	216	22	level	level	NOUN
ajis02-1180	216	23	of	of	ADP
ajis02-1180	216	24	the	the	DET
ajis02-1180	216	25	hierarchy	hierarchy	NOUN
ajis02-1180	216	26	and	and	CCONJ
ajis02-1180	216	27	further	further	ADJ
ajis02-1180	216	28	drill	drill	VERB
ajis02-1180	216	29	down	down	ADP
ajis02-1180	216	30	might	might	AUX
ajis02-1180	216	31	be	be	AUX
ajis02-1180	216	32	required	require	VERB
ajis02-1180	216	33	for	for	ADP
ajis02-1180	216	34	clusters	cluster	NOUN
ajis02-1180	216	35	representing	represent	VERB
ajis02-1180	216	36	close	close	ADJ
ajis02-1180	216	37	categories	category	NOUN
ajis02-1180	216	38	to	to	PART
ajis02-1180	216	39	obtain	obtain	VERB
ajis02-1180	216	40	minimal	minimal	ADJ
ajis02-1180	216	41	term	term	NOUN
ajis02-1180	216	42	overlap	overlap	NOUN
ajis02-1180	216	43	.	.	PUNCT
ajis02-1180	217	1	the	the	DET
ajis02-1180	217	2	total	total	ADJ
ajis02-1180	217	3	document	document	NOUN
ajis02-1180	217	4	count	count	NOUN
ajis02-1180	217	5	used	use	VERB
ajis02-1180	217	6	for	for	ADP
ajis02-1180	217	7	the	the	DET
ajis02-1180	217	8	experiment	experiment	NOUN
ajis02-1180	217	9	was	be	AUX
ajis02-1180	217	10	3000	3000	NUM
ajis02-1180	217	11	and	and	CCONJ
ajis02-1180	217	12	the	the	DET
ajis02-1180	217	13	steps	step	NOUN
ajis02-1180	217	14	in	in	ADP
ajis02-1180	217	15	the	the	DET
ajis02-1180	217	16	proposed	propose	VERB
ajis02-1180	217	17	methodology	methodology	NOUN
ajis02-1180	217	18	were	be	AUX
ajis02-1180	217	19	followed	follow	VERB
ajis02-1180	217	20	.	.	PUNCT
ajis02-1180	218	1	the	the	DET
ajis02-1180	218	2	first	first	ADJ
ajis02-1180	218	3	hierarchy	hierarchy	NOUN
ajis02-1180	218	4	level	level	NOUN
ajis02-1180	218	5	generated	generate	VERB
ajis02-1180	218	6	8	8	NUM
ajis02-1180	218	7	clusters	cluster	NOUN
ajis02-1180	218	8	after	after	SCONJ
ajis02-1180	218	9	automatic	automatic	ADJ
ajis02-1180	218	10	cluster	cluster	NOUN
ajis02-1180	218	11	separation	separation	NOUN
ajis02-1180	218	12	was	be	AUX
ajis02-1180	218	13	executed	execute	VERB
ajis02-1180	218	14	.	.	PUNCT
ajis02-1180	219	1	figure	figure	NOUN
ajis02-1180	219	2	9	9	NUM
ajis02-1180	219	3	illustrates	illustrate	VERB
ajis02-1180	219	4	the	the	DET
ajis02-1180	219	5	cluster	cluster	NOUN
ajis02-1180	219	6	separation	separation	NOUN
ajis02-1180	219	7	in	in	ADP
ajis02-1180	219	8	the	the	DET
ajis02-1180	219	9	gsom	gsom	PROPN
ajis02-1180	219	10	output	output	NOUN
ajis02-1180	219	11	.	.	PUNCT
ajis02-1180	220	1	according	accord	VERB
ajis02-1180	220	2	to	to	ADP
ajis02-1180	220	3	the	the	DET
ajis02-1180	220	4	results	result	NOUN
ajis02-1180	220	5	four	four	NUM
ajis02-1180	220	6	clusters	cluster	NOUN
ajis02-1180	220	7	mainly	mainly	ADV
ajis02-1180	220	8	represented	represent	VERB
ajis02-1180	220	9	the	the	DET
ajis02-1180	220	10	‘	'	PUNCT
ajis02-1180	220	11	soccer	soccer	NOUN
ajis02-1180	220	12	’	'	PUNCT
ajis02-1180	220	13	category	category	NOUN
ajis02-1180	220	14	,	,	PUNCT
ajis02-1180	220	15	one	one	NUM
ajis02-1180	220	16	cluster	cluster	NOUN
ajis02-1180	220	17	represented	represent	VERB
ajis02-1180	220	18	the	the	DET
ajis02-1180	220	19	‘	'	PUNCT
ajis02-1180	220	20	commercial	commercial	ADJ
ajis02-1180	220	21	banks	bank	NOUN
ajis02-1180	220	22	’	'	PUNCT
ajis02-1180	220	23	category	category	NOUN
ajis02-1180	220	24	and	and	CCONJ
ajis02-1180	220	25	three	three	NUM
ajis02-1180	220	26	clusters	cluster	NOUN
ajis02-1180	220	27	represented	represent	VERB
ajis02-1180	220	28	the	the	DET
ajis02-1180	220	29	‘	'	PUNCT
ajis02-1180	220	30	insurance	insurance	NOUN
ajis02-1180	220	31	agencies	agency	NOUN
ajis02-1180	220	32	’	'	PUNCT
ajis02-1180	220	33	category	category	NOUN
ajis02-1180	220	34	.	.	PUNCT
ajis02-1180	221	1	the	the	DET
ajis02-1180	221	2	resulting	result	VERB
ajis02-1180	221	3	overlap	overlap	NOUN
ajis02-1180	221	4	matrix	matrix	NOUN
ajis02-1180	221	5	is	be	AUX
ajis02-1180	221	6	provided	provide	VERB
ajis02-1180	221	7	in	in	ADP
ajis02-1180	221	8	table	table	NOUN
ajis02-1180	221	9	7	7	NUM
ajis02-1180	221	10	.	.	PUNCT
ajis02-1180	221	11	ot	ot	NOUN
ajis02-1180	221	12	value	value	NOUN
ajis02-1180	221	13	used	use	VERB
ajis02-1180	221	14	for	for	ADP
ajis02-1180	221	15	the	the	DET
ajis02-1180	221	16	experiment	experiment	NOUN
ajis02-1180	221	17	was	be	AUX
ajis02-1180	221	18	0.5	0.5	NUM
ajis02-1180	221	19	and	and	CCONJ
ajis02-1180	221	20	according	accord	VERB
ajis02-1180	221	21	to	to	ADP
ajis02-1180	221	22	the	the	DET
ajis02-1180	221	23	overlap	overlap	NOUN
ajis02-1180	221	24	matrix	matrix	NOUN
ajis02-1180	221	25	presented	present	VERB
ajis02-1180	221	26	in	in	ADP
ajis02-1180	221	27	table	table	NOUN
ajis02-1180	221	28	7	7	NUM
ajis02-1180	221	29	the	the	DET
ajis02-1180	221	30	cluster	cluster	NOUN
ajis02-1180	221	31	groups	group	NOUN
ajis02-1180	221	32	c1	c1	PROPN
ajis02-1180	221	33	and	and	CCONJ
ajis02-1180	221	34	c2	c2	PROPN
ajis02-1180	221	35	,	,	PUNCT
ajis02-1180	221	36	c2	c2	PROPN
ajis02-1180	221	37	and	and	CCONJ
ajis02-1180	221	38	c5	c5	PROPN
ajis02-1180	221	39	had	have	VERB
ajis02-1180	221	40	of	of	ADP
ajis02-1180	221	41	more	more	ADJ
ajis02-1180	221	42	than	than	ADP
ajis02-1180	221	43	the	the	DET
ajis02-1180	221	44	pre	pre	ADJ
ajis02-1180	221	45	-	-	ADJ
ajis02-1180	221	46	defined	define	VERB
ajis02-1180	221	47	overlap	overlap	NOUN
ajis02-1180	221	48	threshold	threshold	NOUN
ajis02-1180	221	49	value	value	NOUN
ajis02-1180	221	50	.	.	PUNCT
ajis02-1180	222	1	so	so	ADV
ajis02-1180	222	2	the	the	DET
ajis02-1180	222	3	clusters	cluster	NOUN
ajis02-1180	222	4	c1	c1	PROPN
ajis02-1180	222	5	,	,	PUNCT
ajis02-1180	222	6	c2	c2	PROPN
ajis02-1180	222	7	,	,	PUNCT
ajis02-1180	222	8	and	and	CCONJ
ajis02-1180	222	9	c5	c5	PROPN
ajis02-1180	222	10	were	be	AUX
ajis02-1180	222	11	merged	merge	VERB
ajis02-1180	222	12	for	for	ADP
ajis02-1180	222	13	further	further	ADJ
ajis02-1180	222	14	analysis	analysis	NOUN
ajis02-1180	222	15	.	.	PUNCT
ajis02-1180	223	1	two	two	NUM
ajis02-1180	223	2	clusters	cluster	NOUN
ajis02-1180	223	3	selected	select	VERB
ajis02-1180	223	4	for	for	ADP
ajis02-1180	223	5	further	further	ADJ
ajis02-1180	223	6	analysis	analysis	NOUN
ajis02-1180	223	7	mainly	mainly	ADV
ajis02-1180	223	8	represent	represent	VERB
ajis02-1180	223	9	‘	'	PUNCT
ajis02-1180	223	10	insurance	insurance	NOUN
ajis02-1180	223	11	agencies	agency	NOUN
ajis02-1180	223	12	’	'	PUNCT
ajis02-1180	223	13	whereas	whereas	SCONJ
ajis02-1180	223	14	the	the	DET
ajis02-1180	223	15	other	other	ADJ
ajis02-1180	223	16	cluster	cluster	NOUN
ajis02-1180	223	17	represent	represent	VERB
ajis02-1180	223	18	‘	'	PUNCT
ajis02-1180	223	19	commercial	commercial	ADJ
ajis02-1180	223	20	banks	bank	NOUN
ajis02-1180	223	21	’	'	PUNCT
ajis02-1180	223	22	.	.	PUNCT
ajis02-1180	224	1	this	this	PRON
ajis02-1180	224	2	indicates	indicate	VERB
ajis02-1180	224	3	that	that	SCONJ
ajis02-1180	224	4	it	it	PRON
ajis02-1180	224	5	is	be	AUX
ajis02-1180	224	6	likely	likely	ADJ
ajis02-1180	224	7	to	to	PART
ajis02-1180	224	8	obtain	obtain	VERB
ajis02-1180	224	9	higher	high	ADJ
ajis02-1180	224	10	term	term	NOUN
ajis02-1180	224	11	overlap	overlap	NOUN
ajis02-1180	224	12	between	between	ADP
ajis02-1180	224	13	the	the	DET
ajis02-1180	224	14	clusters	cluster	NOUN
ajis02-1180	224	15	associated	associate	VERB
ajis02-1180	224	16	with	with	ADP
ajis02-1180	224	17	similar	similar	ADJ
ajis02-1180	224	18	themes	theme	NOUN
ajis02-1180	224	19	.	.	PUNCT
ajis02-1180	225	1	documents	document	NOUN
ajis02-1180	225	2	associated	associate	VERB
ajis02-1180	225	3	with	with	ADP
ajis02-1180	225	4	‘	'	PUNCT
ajis02-1180	225	5	soccer	soccer	NOUN
ajis02-1180	225	6	’	'	PUNCT
ajis02-1180	225	7	theme	theme	NOUN
ajis02-1180	225	8	are	be	AUX
ajis02-1180	225	9	distributed	distribute	VERB
ajis02-1180	225	10	among	among	ADP
ajis02-1180	225	11	four	four	NUM
ajis02-1180	225	12	clusters	cluster	NOUN
ajis02-1180	225	13	which	which	PRON
ajis02-1180	225	14	prove	prove	VERB
ajis02-1180	225	15	that	that	SCONJ
ajis02-1180	225	16	the	the	DET
ajis02-1180	225	17	gsom	gsom	PROPN
ajis02-1180	225	18	s68	s68	ADP
ajis02-1180	225	19	australasian	australasian	ADJ
ajis02-1180	225	20	journal	journal	NOUN
ajis02-1180	225	21	of	of	ADP
ajis02-1180	225	22	information	information	NOUN
ajis02-1180	225	23	systems	system	NOUN
ajis02-1180	225	24	nathawitharana	nathawitharana	PROPN
ajis02-1180	225	25	,	,	PUNCT
ajis02-1180	225	26	alahakoon	alahakoon	PROPN
ajis02-1180	225	27	&	&	CCONJ
ajis02-1180	225	28	matharage	matharage	NOUN
ajis02-1180	225	29	2015	2015	NUM
ajis02-1180	225	30	,	,	PUNCT
ajis02-1180	225	31	vol	vol	NOUN
ajis02-1180	225	32	.	.	PROPN
ajis02-1180	225	33	19	19	NUM
ajis02-1180	225	34	,	,	PUNCT
ajis02-1180	225	35	pp	pp	PROPN
ajis02-1180	225	36	.	.	PUNCT
ajis02-1180	225	37	s55	s55	PROPN
ajis02-1180	225	38	-	-	PUNCT
ajis02-1180	225	39	s75	s75	NOUN
ajis02-1180	225	40	improving	improve	VERB
ajis02-1180	225	41	decision	decision	NOUN
ajis02-1180	225	42	value	value	NOUN
ajis02-1180	225	43	of	of	ADP
ajis02-1180	225	44	hierarchical	hierarchical	ADJ
ajis02-1180	225	45	text	text	NOUN
ajis02-1180	225	46	algorithm	algorithm	NOUN
ajis02-1180	225	47	has	have	AUX
ajis02-1180	225	48	well	well	ADV
ajis02-1180	225	49	separated	separate	VERB
ajis02-1180	225	50	the	the	DET
ajis02-1180	225	51	‘	'	PUNCT
ajis02-1180	225	52	soccer	soccer	NOUN
ajis02-1180	225	53	’	'	PUNCT
ajis02-1180	225	54	related	relate	VERB
ajis02-1180	225	55	documents	document	NOUN
ajis02-1180	225	56	in	in	ADP
ajis02-1180	225	57	the	the	DET
ajis02-1180	225	58	first	first	ADJ
ajis02-1180	225	59	hierarchy	hierarchy	NOUN
ajis02-1180	225	60	level	level	NOUN
ajis02-1180	225	61	.	.	PUNCT
ajis02-1180	226	1	in	in	ADP
ajis02-1180	226	2	addition	addition	NOUN
ajis02-1180	226	3	the	the	PRON
ajis02-1180	226	4	of	of	ADP
ajis02-1180	226	5	calculated	calculate	VERB
ajis02-1180	226	6	between	between	ADP
ajis02-1180	226	7	the	the	DET
ajis02-1180	226	8	clusters	cluster	NOUN
ajis02-1180	226	9	labelled	label	VERB
ajis02-1180	226	10	as	as	ADP
ajis02-1180	226	11	‘	'	PUNCT
ajis02-1180	226	12	soccer	soccer	NOUN
ajis02-1180	226	13	’	'	PUNCT
ajis02-1180	226	14	did	do	AUX
ajis02-1180	226	15	n’t	not	PART
ajis02-1180	226	16	exceed	exceed	VERB
ajis02-1180	226	17	the	the	DET
ajis02-1180	226	18	predefined	predefine	VERB
ajis02-1180	226	19	ot	ot	NOUN
ajis02-1180	226	20	which	which	PRON
ajis02-1180	226	21	verified	verify	VERB
ajis02-1180	226	22	that	that	SCONJ
ajis02-1180	226	23	those	those	DET
ajis02-1180	226	24	clusters	cluster	NOUN
ajis02-1180	226	25	were	be	AUX
ajis02-1180	226	26	well	well	ADV
ajis02-1180	226	27	separated	separate	VERB
ajis02-1180	226	28	based	base	VERB
ajis02-1180	226	29	on	on	ADP
ajis02-1180	226	30	terms	term	NOUN
ajis02-1180	226	31	even	even	ADV
ajis02-1180	226	32	though	though	SCONJ
ajis02-1180	226	33	they	they	PRON
ajis02-1180	226	34	belonged	belong	VERB
ajis02-1180	226	35	to	to	ADP
ajis02-1180	226	36	the	the	DET
ajis02-1180	226	37	same	same	ADJ
ajis02-1180	226	38	theme	theme	NOUN
ajis02-1180	226	39	.	.	PUNCT
ajis02-1180	227	1	when	when	SCONJ
ajis02-1180	227	2	looking	look	VERB
ajis02-1180	227	3	into	into	ADP
ajis02-1180	227	4	the	the	DET
ajis02-1180	227	5	cluster	cluster	NOUN
ajis02-1180	227	6	separation	separation	NOUN
ajis02-1180	227	7	and	and	CCONJ
ajis02-1180	227	8	overlap	overlap	NOUN
ajis02-1180	227	9	matrix	matrix	NOUN
ajis02-1180	227	10	we	we	PRON
ajis02-1180	227	11	can	can	AUX
ajis02-1180	227	12	make	make	VERB
ajis02-1180	227	13	the	the	DET
ajis02-1180	227	14	conclusion	conclusion	NOUN
ajis02-1180	227	15	that	that	SCONJ
ajis02-1180	227	16	gsom	gsom	PROPN
ajis02-1180	227	17	algorithm	algorithm	NOUN
ajis02-1180	227	18	has	have	AUX
ajis02-1180	227	19	well	well	ADV
ajis02-1180	227	20	separated	separate	VERB
ajis02-1180	227	21	the	the	DET
ajis02-1180	227	22	distant	distant	ADJ
ajis02-1180	227	23	category	category	NOUN
ajis02-1180	227	24	from	from	ADP
ajis02-1180	227	25	the	the	DET
ajis02-1180	227	26	close	close	ADJ
ajis02-1180	227	27	categories	category	NOUN
ajis02-1180	227	28	in	in	ADP
ajis02-1180	227	29	the	the	DET
ajis02-1180	227	30	first	first	ADJ
ajis02-1180	227	31	hierarchy	hierarchy	NOUN
ajis02-1180	227	32	level	level	NOUN
ajis02-1180	227	33	.	.	PUNCT
ajis02-1180	228	1	figure	figure	NOUN
ajis02-1180	228	2	9	9	NUM
ajis02-1180	228	3	:	:	PUNCT
ajis02-1180	228	4	gsom	gsom	VERB
ajis02-1180	228	5	hierarchical	hierarchical	ADJ
ajis02-1180	228	6	clustering	clustering	NOUN
ajis02-1180	228	7	with	with	ADP
ajis02-1180	228	8	sf	sf	PROPN
ajis02-1180	228	9	0.1	0.1	NUM
ajis02-1180	228	10	for	for	ADP
ajis02-1180	228	11	mixture	mixture	NOUN
ajis02-1180	228	12	of	of	ADP
ajis02-1180	228	13	close	close	ADJ
ajis02-1180	228	14	and	and	CCONJ
ajis02-1180	228	15	distant	distant	ADJ
ajis02-1180	228	16	categories	category	NOUN
ajis02-1180	228	17	from	from	ADP
ajis02-1180	228	18	the	the	DET
ajis02-1180	228	19	dataset	dataset	NOUN
ajis02-1180	228	20	(	(	PUNCT
ajis02-1180	228	21	first	first	ADJ
ajis02-1180	228	22	level	level	NOUN
ajis02-1180	228	23	of	of	ADP
ajis02-1180	228	24	the	the	DET
ajis02-1180	228	25	hierarchy	hierarchy	NOUN
ajis02-1180	228	26	)	)	PUNCT
ajis02-1180	229	1	i	i	PROPN
ajis02-1180	229	2	d	d	PROPN
ajis02-1180	229	3	c1	c1	PROPN
ajis02-1180	229	4	c2	c2	PROPN
ajis02-1180	229	5	c3	c3	PROPN
ajis02-1180	229	6	c4	c4	PROPN
ajis02-1180	229	7	c5	c5	PROPN
ajis02-1180	229	8	c6	c6	PROPN
ajis02-1180	229	9	c7	c7	PROPN
ajis02-1180	229	10	c8	c8	PROPN
ajis02-1180	229	11	c1	c1	PROPN
ajis02-1180	229	12	0.58	0.58	NUM
ajis02-1180	229	13	0.49	0.49	NUM
ajis02-1180	229	14	0.28	0.28	NUM
ajis02-1180	229	15	0.47	0.47	NUM
ajis02-1180	229	16	0.39	0.39	NUM
ajis02-1180	229	17	0.21	0.21	NUM
ajis02-1180	229	18	0.12	0.12	NUM
ajis02-1180	229	19	c2	c2	PROPN
ajis02-1180	229	20	0.58	0.58	NUM
ajis02-1180	229	21	0.46	0.46	NUM
ajis02-1180	229	22	0.33	0.33	NUM
ajis02-1180	229	23	0.52	0.52	NUM
ajis02-1180	229	24	0.44	0.44	NUM
ajis02-1180	229	25	0.22	0.22	NUM
ajis02-1180	229	26	0.14	0.14	NUM
ajis02-1180	229	27	c3	c3	X
ajis02-1180	229	28	0.49	0.49	NUM
ajis02-1180	229	29	0.46	0.46	NUM
ajis02-1180	229	30	0.38	0.38	NUM
ajis02-1180	229	31	0.46	0.46	NUM
ajis02-1180	229	32	0.36	0.36	NUM
ajis02-1180	229	33	0.34	0.34	NUM
ajis02-1180	229	34	0.17	0.17	NUM
ajis02-1180	229	35	c4	c4	NOUN
ajis02-1180	229	36	0.28	0.28	NUM
ajis02-1180	229	37	0.33	0.33	NUM
ajis02-1180	229	38	0.38	0.38	NUM
ajis02-1180	229	39	0.44	0.44	NUM
ajis02-1180	229	40	0.37	0.37	NUM
ajis02-1180	229	41	0.38	0.38	NUM
ajis02-1180	229	42	0.25	0.25	NUM
ajis02-1180	229	43	c5	c5	PROPN
ajis02-1180	229	44	0.47	0.47	NUM
ajis02-1180	229	45	0.52	0.52	NUM
ajis02-1180	229	46	0.46	0.46	NUM
ajis02-1180	229	47	0.44	0.44	NUM
ajis02-1180	229	48	0.46	0.46	NUM
ajis02-1180	229	49	0.28	0.28	NUM
ajis02-1180	229	50	0.20	0.20	NUM
ajis02-1180	229	51	c6	c6	PROPN
ajis02-1180	229	52	0.39	0.39	NUM
ajis02-1180	229	53	0.44	0.44	NUM
ajis02-1180	229	54	0.36	0.36	NUM
ajis02-1180	229	55	0.37	0.37	NUM
ajis02-1180	229	56	0.46	0.46	NUM
ajis02-1180	229	57	0.23	0.23	NUM
ajis02-1180	229	58	0.17	0.17	NUM
ajis02-1180	229	59	c7	c7	PROPN
ajis02-1180	229	60	0.21	0.21	NUM
ajis02-1180	229	61	0.22	0.22	NUM
ajis02-1180	229	62	0.34	0.34	NUM
ajis02-1180	229	63	0.38	0.38	NUM
ajis02-1180	229	64	0.28	0.28	NUM
ajis02-1180	229	65	0.23	0.23	NUM
ajis02-1180	229	66	0.18	0.18	NUM
ajis02-1180	229	67	c8	c8	PROPN
ajis02-1180	229	68	0.12	0.12	NUM
ajis02-1180	229	69	0.14	0.14	NUM
ajis02-1180	229	70	0.17	0.17	NUM
ajis02-1180	229	71	0.25	0.25	NUM
ajis02-1180	229	72	0.20	0.20	NUM
ajis02-1180	229	73	0.17	0.17	NUM
ajis02-1180	229	74	0.18	0.18	NUM
ajis02-1180	229	75	table	table	NOUN
ajis02-1180	229	76	7	7	NUM
ajis02-1180	229	77	:	:	PUNCT
ajis02-1180	229	78	overlap	overlap	NOUN
ajis02-1180	229	79	matrix	matrix	NOUN
ajis02-1180	229	80	of	of	ADP
ajis02-1180	229	81	each	each	DET
ajis02-1180	229	82	cluster	cluster	NOUN
ajis02-1180	229	83	pair	pair	NOUN
ajis02-1180	229	84	for	for	ADP
ajis02-1180	229	85	the	the	DET
ajis02-1180	229	86	1st	1st	ADJ
ajis02-1180	229	87	level	level	NOUN
ajis02-1180	229	88	of	of	ADP
ajis02-1180	229	89	the	the	DET
ajis02-1180	229	90	hierarchy	hierarchy	NOUN
ajis02-1180	229	91	for	for	ADP
ajis02-1180	229	92	mixture	mixture	NOUN
ajis02-1180	229	93	of	of	ADP
ajis02-1180	229	94	close	close	ADJ
ajis02-1180	229	95	and	and	CCONJ
ajis02-1180	229	96	distant	distant	ADJ
ajis02-1180	229	97	categories	category	NOUN
ajis02-1180	229	98	for	for	ADP
ajis02-1180	229	99	the	the	DET
ajis02-1180	229	100	second	second	ADJ
ajis02-1180	229	101	hierarchy	hierarchy	NOUN
ajis02-1180	229	102	level	level	NOUN
ajis02-1180	229	103	we	we	PRON
ajis02-1180	229	104	have	have	AUX
ajis02-1180	229	105	used	use	VERB
ajis02-1180	229	106	the	the	DET
ajis02-1180	229	107	sf	sf	PROPN
ajis02-1180	229	108	0.3	0.3	NUM
ajis02-1180	229	109	for	for	ADP
ajis02-1180	229	110	the	the	DET
ajis02-1180	229	111	gsom	gsom	PROPN
ajis02-1180	229	112	algorithm	algorithm	NOUN
ajis02-1180	229	113	.	.	PUNCT
ajis02-1180	230	1	the	the	DET
ajis02-1180	230	2	merged	merged	ADJ
ajis02-1180	230	3	three	three	NUM
ajis02-1180	230	4	clusters	cluster	NOUN
ajis02-1180	230	5	were	be	AUX
ajis02-1180	230	6	separated	separate	VERB
ajis02-1180	230	7	into	into	ADP
ajis02-1180	230	8	ten	ten	NUM
ajis02-1180	230	9	sub	sub	NOUN
ajis02-1180	230	10	clusters	cluster	NOUN
ajis02-1180	230	11	which	which	PRON
ajis02-1180	230	12	is	be	AUX
ajis02-1180	230	13	illustrated	illustrate	VERB
ajis02-1180	230	14	in	in	ADP
ajis02-1180	230	15	figure	figure	NOUN
ajis02-1180	230	16	10	10	NUM
ajis02-1180	230	17	.	.	PUNCT
ajis02-1180	231	1	five	five	NUM
ajis02-1180	231	2	sub	sub	NOUN
ajis02-1180	231	3	clusters	cluster	NOUN
ajis02-1180	231	4	mainly	mainly	ADV
ajis02-1180	231	5	represented	represent	VERB
ajis02-1180	231	6	‘	'	PUNCT
ajis02-1180	231	7	commercial	commercial	ADJ
ajis02-1180	231	8	banks	bank	NOUN
ajis02-1180	231	9	’	'	PUNCT
ajis02-1180	231	10	category	category	NOUN
ajis02-1180	231	11	,	,	PUNCT
ajis02-1180	231	12	four	four	NUM
ajis02-1180	231	13	sub	sub	NOUN
ajis02-1180	231	14	clusters	cluster	NOUN
ajis02-1180	231	15	‘	'	PUNCT
ajis02-1180	231	16	insurance	insurance	NOUN
ajis02-1180	231	17	agencies	agency	NOUN
ajis02-1180	231	18	’	'	PUNCT
ajis02-1180	231	19	and	and	CCONJ
ajis02-1180	231	20	one	one	NUM
ajis02-1180	231	21	sub	sub	NOUN
ajis02-1180	231	22	cluster	cluster	NOUN
ajis02-1180	231	23	was	be	AUX
ajis02-1180	231	24	‘	'	PUNCT
ajis02-1180	231	25	soccer	soccer	NOUN
ajis02-1180	231	26	’	'	PUNCT
ajis02-1180	231	27	.	.	PUNCT
ajis02-1180	232	1	the	the	DET
ajis02-1180	232	2	merged	merged	ADJ
ajis02-1180	232	3	three	three	NUM
ajis02-1180	232	4	clusters	cluster	NOUN
ajis02-1180	232	5	used	use	VERB
ajis02-1180	232	6	for	for	ADP
ajis02-1180	232	7	further	further	ADJ
ajis02-1180	232	8	analysis	analysis	NOUN
ajis02-1180	232	9	were	be	AUX
ajis02-1180	232	10	mainly	mainly	ADV
ajis02-1180	232	11	representing	represent	VERB
ajis02-1180	232	12	‘	'	PUNCT
ajis02-1180	232	13	commercial	commercial	ADJ
ajis02-1180	232	14	banks	bank	NOUN
ajis02-1180	232	15	’	'	PUNCT
ajis02-1180	232	16	and	and	CCONJ
ajis02-1180	232	17	‘	'	PUNCT
ajis02-1180	232	18	insurance	insurance	NOUN
ajis02-1180	232	19	agencies	agency	NOUN
ajis02-1180	232	20	’	'	PUNCT
ajis02-1180	232	21	categories	category	NOUN
ajis02-1180	232	22	.	.	PUNCT
ajis02-1180	233	1	however	however	ADV
ajis02-1180	233	2	in	in	ADP
ajis02-1180	233	3	this	this	DET
ajis02-1180	233	4	second	second	ADJ
ajis02-1180	233	5	hierarchy	hierarchy	NOUN
ajis02-1180	233	6	level	level	NOUN
ajis02-1180	233	7	we	we	PRON
ajis02-1180	233	8	obtain	obtain	VERB
ajis02-1180	233	9	a	a	DET
ajis02-1180	233	10	sub	sub	NOUN
ajis02-1180	233	11	cluster	cluster	NOUN
ajis02-1180	233	12	which	which	PRON
ajis02-1180	233	13	represent	represent	VERB
ajis02-1180	233	14	‘	'	PUNCT
ajis02-1180	233	15	soccer	soccer	NOUN
ajis02-1180	233	16	’	'	PUNCT
ajis02-1180	233	17	category	category	NOUN
ajis02-1180	233	18	and	and	CCONJ
ajis02-1180	233	19	it	it	PRON
ajis02-1180	233	20	verifies	verify	VERB
ajis02-1180	233	21	that	that	SCONJ
ajis02-1180	233	22	some	some	PRON
ajis02-1180	233	23	of	of	ADP
ajis02-1180	233	24	the	the	DET
ajis02-1180	233	25	‘	'	PUNCT
ajis02-1180	233	26	soccer	soccer	NOUN
ajis02-1180	233	27	’	'	PUNCT
ajis02-1180	233	28	related	relate	VERB
ajis02-1180	233	29	documents	document	NOUN
ajis02-1180	233	30	assigned	assign	VERB
ajis02-1180	233	31	to	to	ADP
ajis02-1180	233	32	the	the	DET
ajis02-1180	233	33	three	three	NUM
ajis02-1180	233	34	clusters	cluster	NOUN
ajis02-1180	233	35	selected	select	VERB
ajis02-1180	233	36	for	for	ADP
ajis02-1180	233	37	further	further	ADJ
ajis02-1180	233	38	analysis	analysis	NOUN
ajis02-1180	233	39	were	be	AUX
ajis02-1180	233	40	separated	separate	VERB
ajis02-1180	233	41	in	in	ADP
ajis02-1180	233	42	the	the	DET
ajis02-1180	233	43	second	second	ADJ
ajis02-1180	233	44	hierarchy	hierarchy	NOUN
ajis02-1180	233	45	level	level	NOUN
ajis02-1180	233	46	.	.	PUNCT
ajis02-1180	234	1	we	we	PRON
ajis02-1180	234	2	observed	observe	VERB
ajis02-1180	234	3	that	that	SCONJ
ajis02-1180	234	4	several	several	ADJ
ajis02-1180	234	5	sub	sub	NOUN
ajis02-1180	234	6	clusters	cluster	NOUN
ajis02-1180	234	7	had	have	VERB
ajis02-1180	234	8	of	of	ADP
ajis02-1180	234	9	greater	great	ADJ
ajis02-1180	234	10	than	than	ADP
ajis02-1180	234	11	the	the	DET
ajis02-1180	234	12	ot	ot	NOUN
ajis02-1180	234	13	and	and	CCONJ
ajis02-1180	234	14	most	most	ADV
ajis02-1180	234	15	frequent	frequent	ADJ
ajis02-1180	234	16	terms	term	NOUN
ajis02-1180	234	17	were	be	AUX
ajis02-1180	234	18	still	still	ADV
ajis02-1180	234	19	repeated	repeat	VERB
ajis02-1180	234	20	among	among	ADP
ajis02-1180	234	21	number	number	NOUN
ajis02-1180	234	22	of	of	ADP
ajis02-1180	234	23	sub	sub	NOUN
ajis02-1180	234	24	clusters	cluster	NOUN
ajis02-1180	234	25	.	.	PUNCT
ajis02-1180	235	1	this	this	DET
ajis02-1180	235	2	repetition	repetition	NOUN
ajis02-1180	235	3	of	of	ADP
ajis02-1180	235	4	most	most	ADJ
ajis02-1180	235	5	frequent	frequent	ADJ
ajis02-1180	235	6	terms	term	NOUN
ajis02-1180	235	7	was	be	AUX
ajis02-1180	235	8	significantly	significantly	ADV
ajis02-1180	235	9	visible	visible	ADJ
ajis02-1180	235	10	for	for	ADP
ajis02-1180	235	11	sub	sub	NOUN
ajis02-1180	235	12	clusters	cluster	NOUN
ajis02-1180	235	13	labelled	label	VERB
ajis02-1180	235	14	as	as	ADP
ajis02-1180	235	15	‘	'	PUNCT
ajis02-1180	235	16	commercial	commercial	ADJ
ajis02-1180	235	17	banks	bank	NOUN
ajis02-1180	235	18	’	'	PUNCT
ajis02-1180	235	19	.	.	PUNCT
ajis02-1180	236	1	this	this	DET
ajis02-1180	236	2	observation	observation	NOUN
ajis02-1180	236	3	verified	verify	VERB
ajis02-1180	236	4	that	that	SCONJ
ajis02-1180	236	5	the	the	DET
ajis02-1180	236	6	sub	sub	NOUN
ajis02-1180	236	7	clusters	cluster	NOUN
ajis02-1180	236	8	labelled	label	VERB
ajis02-1180	236	9	as	as	ADP
ajis02-1180	236	10	‘	'	PUNCT
ajis02-1180	236	11	commercial	commercial	ADJ
ajis02-1180	236	12	banks	bank	NOUN
ajis02-1180	236	13	’	'	PUNCT
ajis02-1180	236	14	consist	consist	VERB
ajis02-1180	236	15	of	of	ADP
ajis02-1180	236	16	similar	similar	ADJ
ajis02-1180	236	17	terms	term	NOUN
ajis02-1180	236	18	and	and	CCONJ
ajis02-1180	236	19	in	in	ADP
ajis02-1180	236	20	the	the	DET
ajis02-1180	236	21	term	term	NOUN
ajis02-1180	236	22	overlap	overlap	NOUN
ajis02-1180	236	23	matrix	matrix	NOUN
ajis02-1180	236	24	all	all	PRON
ajis02-1180	236	25	of	of	ADP
ajis02-1180	236	26	those	those	DET
ajis02-1180	236	27	s69	s69	ADJ
ajis02-1180	236	28	australasian	australasian	ADJ
ajis02-1180	236	29	journal	journal	NOUN
ajis02-1180	236	30	of	of	ADP
ajis02-1180	236	31	information	information	NOUN
ajis02-1180	236	32	systems	system	NOUN
ajis02-1180	236	33	nathawitharana	nathawitharana	PROPN
ajis02-1180	236	34	,	,	PUNCT
ajis02-1180	236	35	alahakoon	alahakoon	PROPN
ajis02-1180	236	36	&	&	CCONJ
ajis02-1180	236	37	matharage	matharage	NOUN
ajis02-1180	236	38	2015	2015	NUM
ajis02-1180	236	39	,	,	PUNCT
ajis02-1180	236	40	vol	vol	NOUN
ajis02-1180	236	41	.	.	PROPN
ajis02-1180	237	1	19	19	NUM
ajis02-1180	237	2	,	,	PUNCT
ajis02-1180	237	3	pp	pp	PROPN
ajis02-1180	237	4	.	.	PUNCT
ajis02-1180	238	1	s55	s55	PROPN
ajis02-1180	238	2	-	-	PUNCT
ajis02-1180	238	3	s75	s75	NOUN
ajis02-1180	238	4	improving	improve	VERB
ajis02-1180	238	5	decision	decision	NOUN
ajis02-1180	238	6	value	value	NOUN
ajis02-1180	238	7	of	of	ADP
ajis02-1180	238	8	hierarchical	hierarchical	ADJ
ajis02-1180	238	9	text	text	NOUN
ajis02-1180	238	10	clusters	cluster	NOUN
ajis02-1180	238	11	had	have	VERB
ajis02-1180	238	12	of	of	ADP
ajis02-1180	238	13	greater	great	ADJ
ajis02-1180	238	14	than	than	ADP
ajis02-1180	238	15	the	the	DET
ajis02-1180	238	16	ot	ot	NOUN
ajis02-1180	238	17	which	which	PRON
ajis02-1180	238	18	confirmed	confirm	VERB
ajis02-1180	238	19	the	the	DET
ajis02-1180	238	20	observation	observation	NOUN
ajis02-1180	238	21	.	.	PUNCT
ajis02-1180	239	1	the	the	DET
ajis02-1180	239	2	overlap	overlap	NOUN
ajis02-1180	239	3	matrix	matrix	NOUN
ajis02-1180	239	4	for	for	ADP
ajis02-1180	239	5	the	the	DET
ajis02-1180	239	6	second	second	ADJ
ajis02-1180	239	7	hierarchy	hierarchy	NOUN
ajis02-1180	239	8	level	level	NOUN
ajis02-1180	239	9	is	be	AUX
ajis02-1180	239	10	presented	present	VERB
ajis02-1180	239	11	in	in	ADP
ajis02-1180	239	12	table	table	NOUN
ajis02-1180	239	13	8	8	NUM
ajis02-1180	239	14	and	and	CCONJ
ajis02-1180	239	15	according	accord	VERB
ajis02-1180	239	16	to	to	ADP
ajis02-1180	239	17	table	table	NOUN
ajis02-1180	239	18	8	8	NUM
ajis02-1180	239	19	sub	sub	NOUN
ajis02-1180	239	20	cluster	cluster	NOUN
ajis02-1180	239	21	groups	group	NOUN
ajis02-1180	239	22	sc1	sc1	PROPN
ajis02-1180	239	23	and	and	CCONJ
ajis02-1180	239	24	sc3	sc3	PROPN
ajis02-1180	239	25	,	,	PUNCT
ajis02-1180	239	26	sc1	sc1	PROPN
ajis02-1180	239	27	and	and	CCONJ
ajis02-1180	239	28	sc6	sc6	PROPN
ajis02-1180	239	29	,	,	PUNCT
ajis02-1180	239	30	sc1	sc1	PROPN
ajis02-1180	239	31	and	and	CCONJ
ajis02-1180	239	32	sc7	sc7	VERB
ajis02-1180	239	33	,	,	PUNCT
ajis02-1180	239	34	sc2	sc2	NOUN
ajis02-1180	239	35	and	and	CCONJ
ajis02-1180	239	36	sc6	sc6	ADJ
ajis02-1180	239	37	,	,	PUNCT
ajis02-1180	239	38	sc2	sc2	NOUN
ajis02-1180	239	39	and	and	CCONJ
ajis02-1180	239	40	sc7	sc7	VERB
ajis02-1180	239	41	,	,	PUNCT
ajis02-1180	239	42	sc5	sc5	VERB
ajis02-1180	239	43	and	and	CCONJ
ajis02-1180	239	44	sc7	sc7	NOUN
ajis02-1180	239	45	showed	show	VERB
ajis02-1180	239	46	of	of	ADP
ajis02-1180	239	47	greater	great	ADJ
ajis02-1180	239	48	than	than	ADP
ajis02-1180	239	49	the	the	DET
ajis02-1180	239	50	pre	pre	ADJ
ajis02-1180	239	51	-	-	VERB
ajis02-1180	239	52	defined	define	VERB
ajis02-1180	239	53	ot	ot	NOUN
ajis02-1180	239	54	.	.	PUNCT
ajis02-1180	239	55	following	follow	VERB
ajis02-1180	239	56	the	the	DET
ajis02-1180	239	57	merging	merge	VERB
ajis02-1180	239	58	rule	rule	NOUN
ajis02-1180	239	59	in	in	ADP
ajis02-1180	239	60	our	our	PRON
ajis02-1180	239	61	proposed	propose	VERB
ajis02-1180	239	62	algorithm	algorithm	NOUN
ajis02-1180	239	63	we	we	PRON
ajis02-1180	239	64	have	have	AUX
ajis02-1180	239	65	merged	merge	VERB
ajis02-1180	239	66	the	the	DET
ajis02-1180	239	67	sub	sub	NOUN
ajis02-1180	239	68	clusters	clusters	PROPN
ajis02-1180	239	69	sc1	sc1	PROPN
ajis02-1180	239	70	,	,	PUNCT
ajis02-1180	239	71	sc2	sc2	PROPN
ajis02-1180	239	72	,	,	PUNCT
ajis02-1180	239	73	sc3	sc3	PROPN
ajis02-1180	239	74	,	,	PUNCT
ajis02-1180	239	75	sc5	sc5	PROPN
ajis02-1180	239	76	,	,	PUNCT
ajis02-1180	239	77	sc6	sc6	NOUN
ajis02-1180	239	78	,	,	PUNCT
ajis02-1180	239	79	and	and	CCONJ
ajis02-1180	239	80	sc7	sc7	VERB
ajis02-1180	239	81	for	for	ADP
ajis02-1180	239	82	further	further	ADJ
ajis02-1180	239	83	analysis	analysis	NOUN
ajis02-1180	239	84	.	.	PUNCT
ajis02-1180	240	1	five	five	NUM
ajis02-1180	240	2	sub	sub	NOUN
ajis02-1180	240	3	clusters	cluster	NOUN
ajis02-1180	240	4	selected	select	VERB
ajis02-1180	240	5	for	for	ADP
ajis02-1180	240	6	further	further	ADJ
ajis02-1180	240	7	analysis	analysis	NOUN
ajis02-1180	240	8	mainly	mainly	ADV
ajis02-1180	240	9	represented	represent	VERB
ajis02-1180	240	10	the	the	DET
ajis02-1180	240	11	‘	'	PUNCT
ajis02-1180	240	12	commercial	commercial	ADJ
ajis02-1180	240	13	banks	bank	NOUN
ajis02-1180	240	14	’	'	PUNCT
ajis02-1180	240	15	category	category	NOUN
ajis02-1180	240	16	and	and	CCONJ
ajis02-1180	240	17	the	the	DET
ajis02-1180	240	18	other	other	ADJ
ajis02-1180	240	19	sub	sub	NOUN
ajis02-1180	240	20	cluster	cluster	NOUN
ajis02-1180	240	21	mainly	mainly	ADV
ajis02-1180	240	22	represented	represent	VERB
ajis02-1180	240	23	the	the	DET
ajis02-1180	240	24	‘	'	PUNCT
ajis02-1180	240	25	insurance	insurance	NOUN
ajis02-1180	240	26	agencies	agency	NOUN
ajis02-1180	240	27	’	'	PUNCT
ajis02-1180	240	28	category	category	NOUN
ajis02-1180	240	29	.	.	PUNCT
ajis02-1180	241	1	figure	figure	NOUN
ajis02-1180	241	2	10	10	NUM
ajis02-1180	241	3	:	:	PUNCT
ajis02-1180	241	4	gsom	gsom	VERB
ajis02-1180	241	5	hierarchical	hierarchical	ADJ
ajis02-1180	241	6	clustering	clustering	NOUN
ajis02-1180	241	7	with	with	ADP
ajis02-1180	241	8	sf	sf	PROPN
ajis02-1180	241	9	0.3	0.3	NUM
ajis02-1180	241	10	for	for	ADP
ajis02-1180	241	11	merged	merged	ADJ
ajis02-1180	241	12	c1	c1	PROPN
ajis02-1180	241	13	,	,	PUNCT
ajis02-1180	241	14	c2	c2	PROPN
ajis02-1180	241	15	,	,	PUNCT
ajis02-1180	241	16	and	and	CCONJ
ajis02-1180	241	17	c5	c5	PROPN
ajis02-1180	241	18	clusters	cluster	NOUN
ajis02-1180	241	19	obtained	obtain	VERB
ajis02-1180	241	20	for	for	ADP
ajis02-1180	241	21	mixture	mixture	NOUN
ajis02-1180	241	22	of	of	ADP
ajis02-1180	241	23	close	close	ADJ
ajis02-1180	241	24	and	and	CCONJ
ajis02-1180	241	25	distant	distant	ADJ
ajis02-1180	241	26	categories	category	NOUN
ajis02-1180	241	27	in	in	ADP
ajis02-1180	241	28	the	the	DET
ajis02-1180	241	29	first	first	ADJ
ajis02-1180	241	30	level	level	NOUN
ajis02-1180	241	31	of	of	ADP
ajis02-1180	241	32	the	the	DET
ajis02-1180	241	33	hierarchy	hierarchy	NOUN
ajis02-1180	242	1	i	i	PROPN
ajis02-1180	242	2	d	d	PROPN
ajis02-1180	242	3	sc1	sc1	PROPN
ajis02-1180	243	1	sc2	sc2	PROPN
ajis02-1180	243	2	sc3	sc3	PROPN
ajis02-1180	243	3	sc4	sc4	PROPN
ajis02-1180	243	4	sc5	sc5	PROPN
ajis02-1180	243	5	sc6	sc6	PROPN
ajis02-1180	243	6	sc7	sc7	NOUN
ajis02-1180	243	7	sc8	sc8	NOUN
ajis02-1180	243	8	sc9	sc9	NOUN
ajis02-1180	243	9	sc10	sc10	PROPN
ajis02-1180	243	10	sc1	sc1	NOUN
ajis02-1180	243	11	0.49	0.49	NUM
ajis02-1180	243	12	0.52	0.52	NUM
ajis02-1180	243	13	0.42	0.42	NUM
ajis02-1180	243	14	0.44	0.44	NUM
ajis02-1180	243	15	0.51	0.51	NUM
ajis02-1180	243	16	0.52	0.52	NUM
ajis02-1180	243	17	0.40	0.40	NUM
ajis02-1180	243	18	0.34	0.34	NUM
ajis02-1180	243	19	0.42	0.42	NUM
ajis02-1180	243	20	sc2	sc2	NOUN
ajis02-1180	243	21	0.49	0.49	NUM
ajis02-1180	243	22	0.43	0.43	NUM
ajis02-1180	243	23	0.43	0.43	NUM
ajis02-1180	243	24	0.49	0.49	NUM
ajis02-1180	243	25	0.55	0.55	NUM
ajis02-1180	243	26	0.53	0.53	NUM
ajis02-1180	243	27	0.46	0.46	NUM
ajis02-1180	243	28	0.28	0.28	NUM
ajis02-1180	243	29	0.41	0.41	NUM
ajis02-1180	243	30	sc3	sc3	NOUN
ajis02-1180	243	31	0.52	0.52	NUM
ajis02-1180	243	32	0.43	0.43	NUM
ajis02-1180	243	33	0.42	0.42	NUM
ajis02-1180	243	34	0.37	0.37	NUM
ajis02-1180	243	35	0.39	0.39	NUM
ajis02-1180	243	36	0.47	0.47	NUM
ajis02-1180	243	37	0.41	0.41	NUM
ajis02-1180	243	38	0.35	0.35	NUM
ajis02-1180	243	39	0.46	0.46	NUM
ajis02-1180	243	40	sc4	sc4	NOUN
ajis02-1180	243	41	0.42	0.42	NUM
ajis02-1180	243	42	0.43	0.43	NUM
ajis02-1180	243	43	0.42	0.42	NUM
ajis02-1180	243	44	0.40	0.40	NUM
ajis02-1180	243	45	0.43	0.43	NUM
ajis02-1180	243	46	0.40	0.40	NUM
ajis02-1180	243	47	0.36	0.36	NUM
ajis02-1180	243	48	0.30	0.30	NUM
ajis02-1180	243	49	0.42	0.42	NUM
ajis02-1180	243	50	sc5	sc5	VERB
ajis02-1180	243	51	0.44	0.44	NUM
ajis02-1180	243	52	0.49	0.49	NUM
ajis02-1180	243	53	0.37	0.37	NUM
ajis02-1180	243	54	0.40	0.40	NUM
ajis02-1180	243	55	0.41	0.41	NUM
ajis02-1180	243	56	0.51	0.51	NUM
ajis02-1180	243	57	0.49	0.49	NUM
ajis02-1180	243	58	0.29	0.29	NUM
ajis02-1180	243	59	0.42	0.42	NUM
ajis02-1180	243	60	sc6	sc6	ADJ
ajis02-1180	243	61	0.51	0.51	NUM
ajis02-1180	243	62	0.55	0.55	NUM
ajis02-1180	243	63	0.39	0.39	NUM
ajis02-1180	243	64	0.43	0.43	NUM
ajis02-1180	243	65	0.41	0.41	NUM
ajis02-1180	243	66	0.46	0.46	NUM
ajis02-1180	243	67	0.37	0.37	NUM
ajis02-1180	243	68	0.25	0.25	NUM
ajis02-1180	243	69	0.38	0.38	NUM
ajis02-1180	243	70	sc7	sc7	NOUN
ajis02-1180	243	71	0.52	0.52	NUM
ajis02-1180	243	72	0.53	0.53	NUM
ajis02-1180	243	73	0.47	0.47	NUM
ajis02-1180	243	74	0.40	0.40	NUM
ajis02-1180	243	75	0.51	0.51	NUM
ajis02-1180	243	76	0.46	0.46	NUM
ajis02-1180	243	77	0.49	0.49	NUM
ajis02-1180	243	78	0.30	0.30	NUM
ajis02-1180	243	79	0.41	0.41	NUM
ajis02-1180	243	80	sc8	sc8	NOUN
ajis02-1180	243	81	0.40	0.40	NUM
ajis02-1180	243	82	0.46	0.46	NUM
ajis02-1180	243	83	0.41	0.41	NUM
ajis02-1180	243	84	0.36	0.36	NUM
ajis02-1180	243	85	0.49	0.49	NUM
ajis02-1180	243	86	0.37	0.37	NUM
ajis02-1180	243	87	0.49	0.49	NUM
ajis02-1180	243	88	0.28	0.28	NUM
ajis02-1180	243	89	0.39	0.39	NUM
ajis02-1180	243	90	sc9	sc9	NOUN
ajis02-1180	243	91	0.34	0.34	NUM
ajis02-1180	243	92	0.28	0.28	NUM
ajis02-1180	243	93	0.35	0.35	NUM
ajis02-1180	243	94	0.30	0.30	NUM
ajis02-1180	243	95	0.29	0.29	NUM
ajis02-1180	243	96	0.25	0.25	NUM
ajis02-1180	243	97	0.30	0.30	NUM
ajis02-1180	243	98	0.28	0.28	NUM
ajis02-1180	243	99	0.32	0.32	NUM
ajis02-1180	243	100	sc10	sc10	PROPN
ajis02-1180	243	101	0.42	0.42	NUM
ajis02-1180	243	102	0.41	0.41	NUM
ajis02-1180	243	103	0.46	0.46	NUM
ajis02-1180	243	104	0.42	0.42	NUM
ajis02-1180	243	105	0.42	0.42	NUM
ajis02-1180	243	106	0.38	0.38	NUM
ajis02-1180	243	107	0.41	0.41	NUM
ajis02-1180	243	108	0.39	0.39	NUM
ajis02-1180	243	109	0.32	0.32	NUM
ajis02-1180	243	110	table	table	NOUN
ajis02-1180	243	111	8	8	NUM
ajis02-1180	243	112	:	:	PUNCT
ajis02-1180	243	113	overlap	overlap	NOUN
ajis02-1180	243	114	matrix	matrix	NOUN
ajis02-1180	243	115	of	of	ADP
ajis02-1180	243	116	each	each	DET
ajis02-1180	243	117	cluster	cluster	NOUN
ajis02-1180	243	118	pair	pair	NOUN
ajis02-1180	243	119	for	for	ADP
ajis02-1180	243	120	the	the	DET
ajis02-1180	243	121	2nd	2nd	ADJ
ajis02-1180	243	122	level	level	NOUN
ajis02-1180	243	123	of	of	ADP
ajis02-1180	243	124	the	the	DET
ajis02-1180	243	125	hierarchy	hierarchy	NOUN
ajis02-1180	243	126	for	for	ADP
ajis02-1180	243	127	merged	merged	ADJ
ajis02-1180	243	128	c1	c1	PROPN
ajis02-1180	243	129	,	,	PUNCT
ajis02-1180	243	130	c2	c2	PROPN
ajis02-1180	243	131	,	,	PUNCT
ajis02-1180	243	132	and	and	CCONJ
ajis02-1180	243	133	c5	c5	PROPN
ajis02-1180	243	134	clusters	cluster	NOUN
ajis02-1180	243	135	obtained	obtain	VERB
ajis02-1180	243	136	for	for	ADP
ajis02-1180	243	137	mixture	mixture	NOUN
ajis02-1180	243	138	of	of	ADP
ajis02-1180	243	139	close	close	ADJ
ajis02-1180	243	140	and	and	CCONJ
ajis02-1180	243	141	distant	distant	ADJ
ajis02-1180	243	142	categories	category	NOUN
ajis02-1180	243	143	figure	figure	VERB
ajis02-1180	243	144	11	11	NUM
ajis02-1180	243	145	illustrates	illustrate	VERB
ajis02-1180	243	146	the	the	DET
ajis02-1180	243	147	output	output	NOUN
ajis02-1180	243	148	map	map	NOUN
ajis02-1180	243	149	using	use	VERB
ajis02-1180	243	150	sf	sf	PROPN
ajis02-1180	243	151	0.5	0.5	NUM
ajis02-1180	243	152	and	and	CCONJ
ajis02-1180	243	153	according	accord	VERB
ajis02-1180	243	154	to	to	PART
ajis02-1180	243	155	figure	figure	VERB
ajis02-1180	243	156	11	11	NUM
ajis02-1180	243	157	we	we	PRON
ajis02-1180	243	158	observed	observe	VERB
ajis02-1180	243	159	that	that	SCONJ
ajis02-1180	243	160	merged	merge	VERB
ajis02-1180	243	161	six	six	NUM
ajis02-1180	243	162	clusters	cluster	NOUN
ajis02-1180	243	163	were	be	AUX
ajis02-1180	243	164	separated	separate	VERB
ajis02-1180	243	165	to	to	ADP
ajis02-1180	243	166	six	six	NUM
ajis02-1180	243	167	sub	sub	NOUN
ajis02-1180	243	168	clusters	cluster	NOUN
ajis02-1180	243	169	.	.	PUNCT
ajis02-1180	244	1	four	four	NUM
ajis02-1180	244	2	sub	sub	NOUN
ajis02-1180	244	3	clusters	cluster	NOUN
ajis02-1180	244	4	mainly	mainly	ADV
ajis02-1180	244	5	represented	represent	VERB
ajis02-1180	244	6	‘	'	PUNCT
ajis02-1180	244	7	commercial	commercial	ADJ
ajis02-1180	244	8	banks	bank	NOUN
ajis02-1180	244	9	’	'	PUNCT
ajis02-1180	244	10	,	,	PUNCT
ajis02-1180	244	11	one	one	NUM
ajis02-1180	244	12	sub	sub	NOUN
ajis02-1180	244	13	cluster	cluster	NOUN
ajis02-1180	244	14	‘	'	PUNCT
ajis02-1180	244	15	insurance	insurance	NOUN
ajis02-1180	244	16	agencies	agency	NOUN
ajis02-1180	244	17	’	'	PUNCT
ajis02-1180	244	18	and	and	CCONJ
ajis02-1180	244	19	the	the	DET
ajis02-1180	244	20	other	other	ADJ
ajis02-1180	244	21	sub	sub	NOUN
ajis02-1180	244	22	cluster	cluster	NOUN
ajis02-1180	244	23	‘	'	PUNCT
ajis02-1180	244	24	soccer	soccer	NOUN
ajis02-1180	244	25	’	'	PUNCT
ajis02-1180	244	26	.	.	PUNCT
ajis02-1180	245	1	similar	similar	ADJ
ajis02-1180	245	2	to	to	ADP
ajis02-1180	245	3	the	the	DET
ajis02-1180	245	4	results	result	NOUN
ajis02-1180	245	5	for	for	ADP
ajis02-1180	245	6	the	the	DET
ajis02-1180	245	7	second	second	ADJ
ajis02-1180	245	8	hierarchy	hierarchy	NOUN
ajis02-1180	245	9	level	level	NOUN
ajis02-1180	245	10	we	we	PRON
ajis02-1180	245	11	observed	observe	VERB
ajis02-1180	245	12	that	that	SCONJ
ajis02-1180	245	13	one	one	NUM
ajis02-1180	245	14	sub	sub	NOUN
ajis02-1180	245	15	cluster	cluster	NOUN
ajis02-1180	245	16	represent	represent	VERB
ajis02-1180	245	17	‘	'	PUNCT
ajis02-1180	245	18	soccer	soccer	NOUN
ajis02-1180	245	19	’	'	PUNCT
ajis02-1180	245	20	category	category	NOUN
ajis02-1180	245	21	even	even	ADV
ajis02-1180	245	22	though	though	SCONJ
ajis02-1180	245	23	the	the	DET
ajis02-1180	245	24	merged	merged	ADJ
ajis02-1180	245	25	clusters	cluster	NOUN
ajis02-1180	245	26	directed	direct	VERB
ajis02-1180	245	27	for	for	ADP
ajis02-1180	245	28	further	further	ADJ
ajis02-1180	245	29	analysis	analysis	NOUN
ajis02-1180	245	30	mainly	mainly	ADV
ajis02-1180	245	31	represented	represent	VERB
ajis02-1180	245	32	‘	'	PUNCT
ajis02-1180	245	33	commercial	commercial	ADJ
ajis02-1180	245	34	banks	bank	NOUN
ajis02-1180	245	35	’	'	PUNCT
ajis02-1180	245	36	and	and	CCONJ
ajis02-1180	245	37	‘	'	PUNCT
ajis02-1180	245	38	insurance	insurance	NOUN
ajis02-1180	245	39	agencies	agency	NOUN
ajis02-1180	245	40	’	'	PUNCT
ajis02-1180	245	41	categories	category	NOUN
ajis02-1180	245	42	.	.	PUNCT
ajis02-1180	246	1	this	this	DET
ajis02-1180	246	2	observation	observation	NOUN
ajis02-1180	246	3	proves	prove	VERB
ajis02-1180	246	4	that	that	SCONJ
ajis02-1180	246	5	few	few	ADJ
ajis02-1180	246	6	documents	document	NOUN
ajis02-1180	246	7	belonging	belong	VERB
ajis02-1180	246	8	to	to	ADP
ajis02-1180	246	9	‘	'	PUNCT
ajis02-1180	246	10	soccer	soccer	NOUN
ajis02-1180	246	11	’	'	PUNCT
ajis02-1180	246	12	category	category	NOUN
ajis02-1180	246	13	were	be	AUX
ajis02-1180	246	14	included	include	VERB
ajis02-1180	246	15	to	to	ADP
ajis02-1180	246	16	the	the	DET
ajis02-1180	246	17	clusters	cluster	NOUN
ajis02-1180	246	18	used	use	VERB
ajis02-1180	246	19	for	for	ADP
ajis02-1180	246	20	further	further	ADJ
ajis02-1180	246	21	analysis	analysis	NOUN
ajis02-1180	246	22	and	and	CCONJ
ajis02-1180	246	23	they	they	PRON
ajis02-1180	246	24	were	be	AUX
ajis02-1180	246	25	separated	separate	VERB
ajis02-1180	246	26	in	in	ADP
ajis02-1180	246	27	the	the	DET
ajis02-1180	246	28	third	third	ADJ
ajis02-1180	246	29	hierarchy	hierarchy	NOUN
ajis02-1180	246	30	level	level	NOUN
ajis02-1180	246	31	.	.	PUNCT
ajis02-1180	247	1	s70	s70	NOUN
ajis02-1180	247	2	australasian	australasian	ADJ
ajis02-1180	247	3	journal	journal	NOUN
ajis02-1180	247	4	of	of	ADP
ajis02-1180	247	5	information	information	NOUN
ajis02-1180	247	6	systems	system	NOUN
ajis02-1180	247	7	nathawitharana	nathawitharana	PROPN
ajis02-1180	247	8	,	,	PUNCT
ajis02-1180	247	9	alahakoon	alahakoon	PROPN
ajis02-1180	247	10	&	&	CCONJ
ajis02-1180	247	11	matharage	matharage	NOUN
ajis02-1180	247	12	2015	2015	NUM
ajis02-1180	247	13	,	,	PUNCT
ajis02-1180	247	14	vol	vol	NOUN
ajis02-1180	247	15	.	.	PROPN
ajis02-1180	247	16	19	19	NUM
ajis02-1180	247	17	,	,	PUNCT
ajis02-1180	247	18	pp	pp	PROPN
ajis02-1180	247	19	.	.	PUNCT
ajis02-1180	248	1	s55	s55	PROPN
ajis02-1180	248	2	-	-	PUNCT
ajis02-1180	248	3	s75	s75	NOUN
ajis02-1180	248	4	improving	improve	VERB
ajis02-1180	248	5	decision	decision	NOUN
ajis02-1180	248	6	value	value	NOUN
ajis02-1180	248	7	of	of	ADP
ajis02-1180	248	8	hierarchical	hierarchical	ADJ
ajis02-1180	248	9	text	text	NOUN
ajis02-1180	248	10	overlap	overlap	NOUN
ajis02-1180	248	11	matrix	matrix	NOUN
ajis02-1180	248	12	for	for	ADP
ajis02-1180	248	13	third	third	ADJ
ajis02-1180	248	14	hierarchy	hierarchy	NOUN
ajis02-1180	248	15	level	level	NOUN
ajis02-1180	248	16	is	be	AUX
ajis02-1180	248	17	shown	show	VERB
ajis02-1180	248	18	in	in	ADP
ajis02-1180	248	19	table	table	NOUN
ajis02-1180	248	20	9	9	NUM
ajis02-1180	248	21	.	.	PUNCT
ajis02-1180	249	1	within	within	ADP
ajis02-1180	249	2	the	the	DET
ajis02-1180	249	3	clusters	cluster	NOUN
ajis02-1180	249	4	further	far	ADV
ajis02-1180	249	5	analysed	analyse	VERB
ajis02-1180	249	6	in	in	ADP
ajis02-1180	249	7	this	this	DET
ajis02-1180	249	8	third	third	ADJ
ajis02-1180	249	9	hierarchy	hierarchy	NOUN
ajis02-1180	249	10	level	level	NOUN
ajis02-1180	249	11	there	there	PRON
ajis02-1180	249	12	was	be	VERB
ajis02-1180	249	13	one	one	NUM
ajis02-1180	249	14	cluster	cluster	NOUN
ajis02-1180	249	15	mainly	mainly	ADV
ajis02-1180	249	16	representing	represent	VERB
ajis02-1180	249	17	‘	'	PUNCT
ajis02-1180	249	18	insurance	insurance	NOUN
ajis02-1180	249	19	agencies	agency	NOUN
ajis02-1180	249	20	’	'	PUNCT
ajis02-1180	249	21	.	.	PUNCT
ajis02-1180	250	1	it	it	PRON
ajis02-1180	250	2	can	can	AUX
ajis02-1180	250	3	be	be	AUX
ajis02-1180	250	4	seen	see	VERB
ajis02-1180	250	5	that	that	PRON
ajis02-1180	250	6	same	same	ADJ
ajis02-1180	250	7	most	most	ADV
ajis02-1180	250	8	important	important	ADJ
ajis02-1180	250	9	terms	term	NOUN
ajis02-1180	250	10	presented	present	VERB
ajis02-1180	250	11	for	for	ADP
ajis02-1180	250	12	relevant	relevant	ADJ
ajis02-1180	250	13	cluster	cluster	NOUN
ajis02-1180	250	14	in	in	ADP
ajis02-1180	250	15	figure	figure	NOUN
ajis02-1180	250	16	10	10	NUM
ajis02-1180	250	17	were	be	AUX
ajis02-1180	250	18	repeated	repeat	VERB
ajis02-1180	250	19	for	for	ADP
ajis02-1180	250	20	the	the	DET
ajis02-1180	250	21	sub	sub	NOUN
ajis02-1180	250	22	cluster	cluster	NOUN
ajis02-1180	250	23	labelled	label	VERB
ajis02-1180	250	24	as	as	ADP
ajis02-1180	250	25	‘	'	PUNCT
ajis02-1180	250	26	insurance	insurance	NOUN
ajis02-1180	250	27	agencies	agency	NOUN
ajis02-1180	250	28	’	'	PUNCT
ajis02-1180	250	29	obtained	obtain	VERB
ajis02-1180	250	30	in	in	ADP
ajis02-1180	250	31	the	the	DET
ajis02-1180	250	32	third	third	ADJ
ajis02-1180	250	33	hierarchy	hierarchy	NOUN
ajis02-1180	250	34	level	level	NOUN
ajis02-1180	250	35	.	.	PUNCT
ajis02-1180	251	1	however	however	ADV
ajis02-1180	251	2	when	when	SCONJ
ajis02-1180	251	3	comparing	compare	VERB
ajis02-1180	251	4	relevant	relevant	ADJ
ajis02-1180	251	5	two	two	NUM
ajis02-1180	251	6	clusters	cluster	NOUN
ajis02-1180	251	7	labelled	label	VERB
ajis02-1180	251	8	as	as	ADP
ajis02-1180	251	9	‘	'	PUNCT
ajis02-1180	251	10	insurance	insurance	NOUN
ajis02-1180	251	11	agencies	agency	NOUN
ajis02-1180	251	12	’	'	PUNCT
ajis02-1180	251	13	in	in	ADP
ajis02-1180	251	14	the	the	DET
ajis02-1180	251	15	second	second	ADJ
ajis02-1180	251	16	and	and	CCONJ
ajis02-1180	251	17	third	third	ADJ
ajis02-1180	251	18	hierarchy	hierarchy	NOUN
ajis02-1180	251	19	levels	level	NOUN
ajis02-1180	251	20	,	,	PUNCT
ajis02-1180	251	21	we	we	PRON
ajis02-1180	251	22	can	can	AUX
ajis02-1180	251	23	say	say	VERB
ajis02-1180	251	24	that	that	SCONJ
ajis02-1180	251	25	the	the	DET
ajis02-1180	251	26	cluster	cluster	NOUN
ajis02-1180	251	27	purity	purity	NOUN
ajis02-1180	251	28	is	be	AUX
ajis02-1180	251	29	higher	high	ADJ
ajis02-1180	251	30	for	for	ADP
ajis02-1180	251	31	the	the	DET
ajis02-1180	251	32	cluster	cluster	NOUN
ajis02-1180	251	33	we	we	PRON
ajis02-1180	251	34	obtained	obtain	VERB
ajis02-1180	251	35	in	in	ADP
ajis02-1180	251	36	the	the	DET
ajis02-1180	251	37	third	third	ADJ
ajis02-1180	251	38	hierarchy	hierarchy	NOUN
ajis02-1180	251	39	level	level	NOUN
ajis02-1180	251	40	.	.	PUNCT
ajis02-1180	252	1	since	since	SCONJ
ajis02-1180	252	2	the	the	DET
ajis02-1180	252	3	term	term	NOUN
ajis02-1180	252	4	overlap	overlap	NOUN
ajis02-1180	252	5	calculated	calculate	VERB
ajis02-1180	252	6	in	in	ADP
ajis02-1180	252	7	the	the	DET
ajis02-1180	252	8	third	third	ADJ
ajis02-1180	252	9	hierarchy	hierarchy	NOUN
ajis02-1180	252	10	level	level	NOUN
ajis02-1180	252	11	did	do	AUX
ajis02-1180	252	12	n’t	not	PART
ajis02-1180	252	13	exceed	exceed	VERB
ajis02-1180	252	14	the	the	DET
ajis02-1180	252	15	ot	ot	NOUN
ajis02-1180	252	16	which	which	PRON
ajis02-1180	252	17	shows	show	VERB
ajis02-1180	252	18	that	that	SCONJ
ajis02-1180	252	19	relevant	relevant	ADJ
ajis02-1180	252	20	cluster	cluster	NOUN
ajis02-1180	252	21	does	do	AUX
ajis02-1180	252	22	not	not	PART
ajis02-1180	252	23	have	have	VERB
ajis02-1180	252	24	significant	significant	ADJ
ajis02-1180	252	25	term	term	NOUN
ajis02-1180	252	26	overlap	overlap	NOUN
ajis02-1180	252	27	with	with	ADP
ajis02-1180	252	28	any	any	DET
ajis02-1180	252	29	other	other	ADJ
ajis02-1180	252	30	sub	sub	NOUN
ajis02-1180	252	31	cluster	cluster	NOUN
ajis02-1180	252	32	in	in	ADP
ajis02-1180	252	33	the	the	DET
ajis02-1180	252	34	third	third	ADJ
ajis02-1180	252	35	level	level	NOUN
ajis02-1180	252	36	of	of	ADP
ajis02-1180	252	37	the	the	DET
ajis02-1180	252	38	hierarchy	hierarchy	NOUN
ajis02-1180	252	39	.	.	PUNCT
ajis02-1180	253	1	according	accord	VERB
ajis02-1180	253	2	to	to	PART
ajis02-1180	253	3	figure	figure	VERB
ajis02-1180	253	4	11	11	NUM
ajis02-1180	253	5	we	we	PRON
ajis02-1180	253	6	notice	notice	VERB
ajis02-1180	253	7	that	that	SCONJ
ajis02-1180	253	8	there	there	PRON
ajis02-1180	253	9	were	be	VERB
ajis02-1180	253	10	three	three	NUM
ajis02-1180	253	11	sub	sub	NOUN
ajis02-1180	253	12	clusters	cluster	NOUN
ajis02-1180	253	13	which	which	PRON
ajis02-1180	253	14	still	still	ADV
ajis02-1180	253	15	had	have	VERB
ajis02-1180	253	16	of	of	ADP
ajis02-1180	253	17	greater	great	ADJ
ajis02-1180	253	18	than	than	ADP
ajis02-1180	253	19	the	the	DET
ajis02-1180	253	20	ot	ot	PROPN
ajis02-1180	253	21	.	.	PROPN
ajis02-1180	254	1	those	those	DET
ajis02-1180	254	2	clusters	cluster	NOUN
ajis02-1180	254	3	mainly	mainly	ADV
ajis02-1180	254	4	represent	represent	VERB
ajis02-1180	254	5	‘	'	PUNCT
ajis02-1180	254	6	commercial	commercial	ADJ
ajis02-1180	254	7	banks	bank	NOUN
ajis02-1180	254	8	’	'	PUNCT
ajis02-1180	254	9	.	.	PUNCT
ajis02-1180	255	1	however	however	ADV
ajis02-1180	255	2	,	,	PUNCT
ajis02-1180	255	3	one	one	NUM
ajis02-1180	255	4	sub	sub	NOUN
ajis02-1180	255	5	cluster	cluster	NOUN
ajis02-1180	255	6	which	which	PRON
ajis02-1180	255	7	represented	represent	VERB
ajis02-1180	255	8	‘	'	PUNCT
ajis02-1180	255	9	commercial	commercial	ADJ
ajis02-1180	255	10	banks	bank	NOUN
ajis02-1180	255	11	’	'	PUNCT
ajis02-1180	255	12	category	category	NOUN
ajis02-1180	255	13	was	be	AUX
ajis02-1180	255	14	separated	separate	VERB
ajis02-1180	255	15	well	well	ADV
ajis02-1180	255	16	as	as	SCONJ
ajis02-1180	255	17	it	it	PRON
ajis02-1180	255	18	did	do	AUX
ajis02-1180	255	19	not	not	PART
ajis02-1180	255	20	have	have	VERB
ajis02-1180	255	21	significant	significant	ADJ
ajis02-1180	255	22	term	term	NOUN
ajis02-1180	255	23	overlap	overlap	NOUN
ajis02-1180	255	24	with	with	ADP
ajis02-1180	255	25	other	other	ADJ
ajis02-1180	255	26	sub	sub	NOUN
ajis02-1180	255	27	clusters	cluster	NOUN
ajis02-1180	255	28	.	.	PUNCT
ajis02-1180	256	1	we	we	PRON
ajis02-1180	256	2	can	can	AUX
ajis02-1180	256	3	further	far	ADV
ajis02-1180	256	4	analyse	analyse	VERB
ajis02-1180	256	5	the	the	DET
ajis02-1180	256	6	three	three	NUM
ajis02-1180	256	7	sub	sub	NOUN
ajis02-1180	256	8	clusters	cluster	NOUN
ajis02-1180	256	9	which	which	PRON
ajis02-1180	256	10	had	have	VERB
ajis02-1180	256	11	of	of	ADP
ajis02-1180	256	12	greater	great	ADJ
ajis02-1180	256	13	than	than	ADP
ajis02-1180	256	14	the	the	DET
ajis02-1180	256	15	ot	ot	NOUN
ajis02-1180	256	16	to	to	PART
ajis02-1180	256	17	verify	verify	VERB
ajis02-1180	256	18	whether	whether	SCONJ
ajis02-1180	256	19	it	it	PRON
ajis02-1180	256	20	is	be	AUX
ajis02-1180	256	21	possible	possible	ADJ
ajis02-1180	256	22	to	to	PART
ajis02-1180	256	23	obtain	obtain	VERB
ajis02-1180	256	24	high	high	ADJ
ajis02-1180	256	25	cluster	cluster	NOUN
ajis02-1180	256	26	purity	purity	NOUN
ajis02-1180	256	27	by	by	ADP
ajis02-1180	256	28	minimising	minimise	VERB
ajis02-1180	256	29	the	the	DET
ajis02-1180	256	30	term	term	NOUN
ajis02-1180	256	31	overlap	overlap	NOUN
ajis02-1180	256	32	between	between	ADP
ajis02-1180	256	33	the	the	DET
ajis02-1180	256	34	resultant	resultant	NOUN
ajis02-1180	256	35	clusters	cluster	NOUN
ajis02-1180	256	36	.	.	PUNCT
ajis02-1180	257	1	figure	figure	VERB
ajis02-1180	257	2	12	12	NUM
ajis02-1180	257	3	presents	present	NOUN
ajis02-1180	257	4	the	the	DET
ajis02-1180	257	5	gsom	gsom	PROPN
ajis02-1180	257	6	hierarchical	hierarchical	ADJ
ajis02-1180	257	7	clustering	clustering	ADJ
ajis02-1180	257	8	overview	overview	NOUN
ajis02-1180	257	9	diagram	diagram	NOUN
ajis02-1180	257	10	for	for	ADP
ajis02-1180	257	11	the	the	DET
ajis02-1180	257	12	selected	select	VERB
ajis02-1180	257	13	close	close	ADJ
ajis02-1180	257	14	and	and	CCONJ
ajis02-1180	257	15	distant	distant	ADJ
ajis02-1180	257	16	categories	category	NOUN
ajis02-1180	257	17	including	include	VERB
ajis02-1180	257	18	the	the	DET
ajis02-1180	257	19	distribution	distribution	NOUN
ajis02-1180	257	20	of	of	ADP
ajis02-1180	257	21	the	the	DET
ajis02-1180	257	22	categories	category	NOUN
ajis02-1180	257	23	for	for	ADP
ajis02-1180	257	24	each	each	DET
ajis02-1180	257	25	cluster	cluster	NOUN
ajis02-1180	257	26	.	.	PUNCT
ajis02-1180	258	1	figure	figure	NOUN
ajis02-1180	258	2	11	11	NUM
ajis02-1180	258	3	:	:	PUNCT
ajis02-1180	258	4	gsom	gsom	VERB
ajis02-1180	258	5	hierarchical	hierarchical	ADJ
ajis02-1180	258	6	clustering	clustering	NOUN
ajis02-1180	258	7	with	with	ADP
ajis02-1180	258	8	sf	sf	PROPN
ajis02-1180	258	9	0.5	0.5	NUM
ajis02-1180	258	10	for	for	ADP
ajis02-1180	258	11	merged	merged	ADJ
ajis02-1180	258	12	sc1	sc1	PROPN
ajis02-1180	258	13	,	,	PUNCT
ajis02-1180	258	14	sc2	sc2	PROPN
ajis02-1180	258	15	,	,	PUNCT
ajis02-1180	258	16	sc3	sc3	PROPN
ajis02-1180	258	17	,	,	PUNCT
ajis02-1180	258	18	sc5	sc5	PROPN
ajis02-1180	258	19	,	,	PUNCT
ajis02-1180	258	20	sc6	sc6	NOUN
ajis02-1180	258	21	,	,	PUNCT
ajis02-1180	258	22	and	and	CCONJ
ajis02-1180	258	23	sc7	sc7	VERB
ajis02-1180	258	24	sub	sub	NOUN
ajis02-1180	258	25	clusters	cluster	NOUN
ajis02-1180	258	26	obtained	obtain	VERB
ajis02-1180	258	27	for	for	ADP
ajis02-1180	258	28	mixture	mixture	NOUN
ajis02-1180	258	29	of	of	ADP
ajis02-1180	258	30	close	close	ADJ
ajis02-1180	258	31	and	and	CCONJ
ajis02-1180	258	32	distant	distant	ADJ
ajis02-1180	258	33	categories	category	NOUN
ajis02-1180	258	34	in	in	ADP
ajis02-1180	258	35	the	the	DET
ajis02-1180	258	36	second	second	ADJ
ajis02-1180	258	37	level	level	NOUN
ajis02-1180	258	38	of	of	ADP
ajis02-1180	258	39	the	the	DET
ajis02-1180	258	40	hierarchy	hierarchy	NOUN
ajis02-1180	258	41	i	i	PRON
ajis02-1180	258	42	d	d	PROPN
ajis02-1180	258	43	ssc1	ssc1	PROPN
ajis02-1180	258	44	ssc2	ssc2	PROPN
ajis02-1180	258	45	ssc3	ssc3	PROPN
ajis02-1180	258	46	ssc4	ssc4	PROPN
ajis02-1180	258	47	ssc5	ssc5	VERB
ajis02-1180	258	48	ssc6	ssc6	PROPN
ajis02-1180	258	49	ssc1	ssc1	PROPN
ajis02-1180	258	50	0.42	0.42	NUM
ajis02-1180	258	51	0.37	0.37	NUM
ajis02-1180	258	52	0.31	0.31	NUM
ajis02-1180	258	53	0.37	0.37	NUM
ajis02-1180	258	54	0.35	0.35	NUM
ajis02-1180	258	55	ssc2	ssc2	NOUN
ajis02-1180	258	56	0.42	0.42	NUM
ajis02-1180	258	57	0.46	0.46	NUM
ajis02-1180	258	58	0.49	0.49	NUM
ajis02-1180	258	59	0.56	0.56	NUM
ajis02-1180	258	60	0.59	0.59	NUM
ajis02-1180	259	1	ssc3	ssc3	NOUN
ajis02-1180	259	2	0.37	0.37	NUM
ajis02-1180	259	3	0.46	0.46	NUM
ajis02-1180	259	4	0.37	0.37	NUM
ajis02-1180	259	5	0.48	0.48	NUM
ajis02-1180	259	6	0.47	0.47	NUM
ajis02-1180	259	7	ssc4	ssc4	NOUN
ajis02-1180	259	8	0.31	0.31	NUM
ajis02-1180	259	9	0.49	0.49	NUM
ajis02-1180	259	10	0.37	0.37	NUM
ajis02-1180	259	11	0.47	0.47	NUM
ajis02-1180	259	12	0.49	0.49	NUM
ajis02-1180	259	13	ssc5	ssc5	NOUN
ajis02-1180	259	14	0.37	0.37	NUM
ajis02-1180	259	15	0.56	0.56	NUM
ajis02-1180	259	16	0.48	0.48	NUM
ajis02-1180	259	17	0.47	0.47	NUM
ajis02-1180	259	18	0.49	0.49	NUM
ajis02-1180	259	19	ssc6	ssc6	PROPN
ajis02-1180	259	20	0.35	0.35	NUM
ajis02-1180	259	21	0.59	0.59	NUM
ajis02-1180	259	22	0.47	0.47	NUM
ajis02-1180	259	23	0.49	0.49	NUM
ajis02-1180	259	24	0.49	0.49	NUM
ajis02-1180	259	25	table	table	NOUN
ajis02-1180	259	26	9	9	NUM
ajis02-1180	259	27	:	:	PUNCT
ajis02-1180	259	28	overlap	overlap	NOUN
ajis02-1180	259	29	matrix	matrix	NOUN
ajis02-1180	259	30	of	of	ADP
ajis02-1180	259	31	each	each	DET
ajis02-1180	259	32	cluster	cluster	NOUN
ajis02-1180	259	33	pair	pair	NOUN
ajis02-1180	259	34	for	for	ADP
ajis02-1180	259	35	the	the	DET
ajis02-1180	259	36	3rd	3rd	ADJ
ajis02-1180	259	37	level	level	NOUN
ajis02-1180	259	38	of	of	ADP
ajis02-1180	259	39	the	the	DET
ajis02-1180	259	40	hierarchy	hierarchy	NOUN
ajis02-1180	259	41	for	for	ADP
ajis02-1180	259	42	merged	merged	ADJ
ajis02-1180	259	43	sc1	sc1	PROPN
ajis02-1180	259	44	,	,	PUNCT
ajis02-1180	259	45	sc2	sc2	PROPN
ajis02-1180	259	46	,	,	PUNCT
ajis02-1180	259	47	sc3	sc3	PROPN
ajis02-1180	259	48	,	,	PUNCT
ajis02-1180	259	49	sc5	sc5	PROPN
ajis02-1180	259	50	,	,	PUNCT
ajis02-1180	259	51	sc6	sc6	NOUN
ajis02-1180	259	52	,	,	PUNCT
ajis02-1180	259	53	and	and	CCONJ
ajis02-1180	259	54	sc7	sc7	VERB
ajis02-1180	259	55	sub	sub	NOUN
ajis02-1180	259	56	clusters	cluster	NOUN
ajis02-1180	259	57	obtained	obtain	VERB
ajis02-1180	259	58	for	for	ADP
ajis02-1180	259	59	mixture	mixture	NOUN
ajis02-1180	259	60	of	of	ADP
ajis02-1180	259	61	close	close	ADJ
ajis02-1180	259	62	and	and	CCONJ
ajis02-1180	259	63	distant	distant	ADJ
ajis02-1180	259	64	categories	category	NOUN
ajis02-1180	259	65	s71	s71	VERB
ajis02-1180	259	66	australasian	australasian	ADJ
ajis02-1180	259	67	journal	journal	NOUN
ajis02-1180	259	68	of	of	ADP
ajis02-1180	259	69	information	information	NOUN
ajis02-1180	259	70	systems	system	NOUN
ajis02-1180	259	71	nathawitharana	nathawitharana	PROPN
ajis02-1180	259	72	,	,	PUNCT
ajis02-1180	259	73	alahakoon	alahakoon	PROPN
ajis02-1180	259	74	&	&	CCONJ
ajis02-1180	259	75	matharage	matharage	NOUN
ajis02-1180	259	76	2015	2015	NUM
ajis02-1180	259	77	,	,	PUNCT
ajis02-1180	259	78	vol	vol	NOUN
ajis02-1180	259	79	.	.	PROPN
ajis02-1180	260	1	19	19	NUM
ajis02-1180	260	2	,	,	PUNCT
ajis02-1180	260	3	pp	pp	PROPN
ajis02-1180	260	4	.	.	PUNCT
ajis02-1180	261	1	s55	s55	PROPN
ajis02-1180	261	2	-	-	PUNCT
ajis02-1180	261	3	s75	s75	NOUN
ajis02-1180	261	4	improving	improve	VERB
ajis02-1180	261	5	decision	decision	NOUN
ajis02-1180	261	6	value	value	NOUN
ajis02-1180	261	7	of	of	ADP
ajis02-1180	261	8	hierarchical	hierarchical	ADJ
ajis02-1180	261	9	text	text	NOUN
ajis02-1180	261	10	figure	figure	NOUN
ajis02-1180	261	11	12	12	NUM
ajis02-1180	261	12	:	:	PUNCT
ajis02-1180	261	13	gsom	gsom	PROPN
ajis02-1180	261	14	hierarchical	hierarchical	ADJ
ajis02-1180	261	15	clustering	clustering	ADJ
ajis02-1180	261	16	overview	overview	NOUN
ajis02-1180	261	17	diagram	diagram	NOUN
ajis02-1180	261	18	for	for	ADP
ajis02-1180	261	19	mixture	mixture	NOUN
ajis02-1180	261	20	of	of	ADP
ajis02-1180	261	21	close	close	ADJ
ajis02-1180	261	22	and	and	CCONJ
ajis02-1180	261	23	distant	distant	ADJ
ajis02-1180	261	24	categories	category	NOUN
ajis02-1180	261	25	from	from	ADP
ajis02-1180	261	26	the	the	DET
ajis02-1180	261	27	dataset	dataset	ADJ
ajis02-1180	261	28	5	5	NUM
ajis02-1180	261	29	conclusion	conclusion	NOUN
ajis02-1180	261	30	in	in	ADP
ajis02-1180	261	31	this	this	DET
ajis02-1180	261	32	paper	paper	NOUN
ajis02-1180	261	33	we	we	PRON
ajis02-1180	261	34	have	have	AUX
ajis02-1180	261	35	introduced	introduce	VERB
ajis02-1180	261	36	a	a	DET
ajis02-1180	261	37	novel	novel	ADJ
ajis02-1180	261	38	methodology	methodology	NOUN
ajis02-1180	261	39	to	to	PART
ajis02-1180	261	40	analyse	analyse	VERB
ajis02-1180	261	41	text	text	NOUN
ajis02-1180	261	42	documents	document	NOUN
ajis02-1180	261	43	hierarchically	hierarchically	ADV
ajis02-1180	261	44	based	base	VERB
ajis02-1180	261	45	on	on	ADP
ajis02-1180	261	46	the	the	DET
ajis02-1180	261	47	terms	term	NOUN
ajis02-1180	261	48	in	in	ADP
ajis02-1180	261	49	the	the	DET
ajis02-1180	261	50	documents	document	NOUN
ajis02-1180	261	51	.	.	PUNCT
ajis02-1180	262	1	according	accord	VERB
ajis02-1180	262	2	to	to	ADP
ajis02-1180	262	3	our	our	PRON
ajis02-1180	262	4	experiment	experiment	NOUN
ajis02-1180	262	5	results	result	NOUN
ajis02-1180	262	6	we	we	PRON
ajis02-1180	262	7	can	can	AUX
ajis02-1180	262	8	conclude	conclude	VERB
ajis02-1180	262	9	that	that	SCONJ
ajis02-1180	262	10	the	the	DET
ajis02-1180	262	11	gsom	gsom	PROPN
ajis02-1180	262	12	hierarchical	hierarchical	ADJ
ajis02-1180	262	13	clustering	clustering	NOUN
ajis02-1180	262	14	can	can	AUX
ajis02-1180	262	15	be	be	AUX
ajis02-1180	262	16	used	use	VERB
ajis02-1180	262	17	together	together	ADV
ajis02-1180	262	18	with	with	ADP
ajis02-1180	262	19	term	term	NOUN
ajis02-1180	262	20	overlap	overlap	NOUN
ajis02-1180	262	21	between	between	ADP
ajis02-1180	262	22	the	the	DET
ajis02-1180	262	23	clusters	cluster	NOUN
ajis02-1180	262	24	to	to	PART
ajis02-1180	262	25	conduct	conduct	VERB
ajis02-1180	262	26	an	an	DET
ajis02-1180	262	27	exploratory	exploratory	ADJ
ajis02-1180	262	28	analysis	analysis	NOUN
ajis02-1180	262	29	of	of	ADP
ajis02-1180	262	30	a	a	DET
ajis02-1180	262	31	given	give	VERB
ajis02-1180	262	32	document	document	NOUN
ajis02-1180	262	33	set	set	NOUN
ajis02-1180	262	34	.	.	PUNCT
ajis02-1180	263	1	the	the	DET
ajis02-1180	263	2	experiment	experiment	NOUN
ajis02-1180	263	3	results	result	NOUN
ajis02-1180	263	4	showed	show	VERB
ajis02-1180	263	5	that	that	SCONJ
ajis02-1180	263	6	the	the	DET
ajis02-1180	263	7	proposed	propose	VERB
ajis02-1180	263	8	methodology	methodology	NOUN
ajis02-1180	263	9	will	will	AUX
ajis02-1180	263	10	lead	lead	VERB
ajis02-1180	263	11	to	to	ADP
ajis02-1180	263	12	obtaining	obtain	VERB
ajis02-1180	263	13	clusters	cluster	NOUN
ajis02-1180	263	14	with	with	ADP
ajis02-1180	263	15	minimal	minimal	ADJ
ajis02-1180	263	16	term	term	NOUN
ajis02-1180	263	17	overlap	overlap	NOUN
ajis02-1180	263	18	when	when	SCONJ
ajis02-1180	263	19	executed	execute	VERB
ajis02-1180	263	20	for	for	ADP
ajis02-1180	263	21	distant	distant	ADJ
ajis02-1180	263	22	categories	category	NOUN
ajis02-1180	263	23	.	.	PUNCT
ajis02-1180	264	1	for	for	ADP
ajis02-1180	264	2	close	close	ADJ
ajis02-1180	264	3	categories	category	NOUN
ajis02-1180	264	4	it	it	PRON
ajis02-1180	264	5	might	might	AUX
ajis02-1180	264	6	be	be	AUX
ajis02-1180	264	7	required	require	VERB
ajis02-1180	264	8	to	to	PART
ajis02-1180	264	9	execute	execute	VERB
ajis02-1180	264	10	the	the	DET
ajis02-1180	264	11	steps	step	NOUN
ajis02-1180	264	12	several	several	ADJ
ajis02-1180	264	13	times	time	NOUN
ajis02-1180	264	14	iteratively	iteratively	ADV
ajis02-1180	264	15	to	to	PART
ajis02-1180	264	16	obtain	obtain	VERB
ajis02-1180	264	17	clusters	cluster	NOUN
ajis02-1180	264	18	with	with	ADP
ajis02-1180	264	19	minimal	minimal	ADJ
ajis02-1180	264	20	term	term	NOUN
ajis02-1180	264	21	overlap	overlap	NOUN
ajis02-1180	264	22	.	.	PUNCT
ajis02-1180	265	1	when	when	SCONJ
ajis02-1180	265	2	the	the	DET
ajis02-1180	265	3	document	document	NOUN
ajis02-1180	265	4	set	set	VERB
ajis02-1180	265	5	consists	consist	VERB
ajis02-1180	265	6	with	with	ADP
ajis02-1180	265	7	a	a	DET
ajis02-1180	265	8	mixture	mixture	NOUN
ajis02-1180	265	9	of	of	ADP
ajis02-1180	265	10	distant	distant	ADJ
ajis02-1180	265	11	and	and	CCONJ
ajis02-1180	265	12	close	close	ADJ
ajis02-1180	265	13	categories	category	NOUN
ajis02-1180	265	14	,	,	PUNCT
ajis02-1180	265	15	distant	distant	ADJ
ajis02-1180	265	16	categories	category	NOUN
ajis02-1180	265	17	tend	tend	VERB
ajis02-1180	265	18	to	to	PART
ajis02-1180	265	19	be	be	AUX
ajis02-1180	265	20	separated	separate	VERB
ajis02-1180	265	21	within	within	ADP
ajis02-1180	265	22	first	first	ADJ
ajis02-1180	265	23	few	few	ADJ
ajis02-1180	265	24	levels	level	NOUN
ajis02-1180	265	25	of	of	ADP
ajis02-1180	265	26	the	the	DET
ajis02-1180	265	27	hierarchy	hierarchy	NOUN
ajis02-1180	265	28	showing	show	VERB
ajis02-1180	265	29	minimum	minimum	ADJ
ajis02-1180	265	30	term	term	NOUN
ajis02-1180	265	31	overlap	overlap	NOUN
ajis02-1180	265	32	whereas	whereas	SCONJ
ajis02-1180	265	33	close	close	ADJ
ajis02-1180	265	34	categories	category	NOUN
ajis02-1180	265	35	might	might	AUX
ajis02-1180	265	36	require	require	VERB
ajis02-1180	265	37	more	more	ADJ
ajis02-1180	265	38	iterations	iteration	NOUN
ajis02-1180	265	39	to	to	PART
ajis02-1180	265	40	obtain	obtain	VERB
ajis02-1180	265	41	minimum	minimum	ADJ
ajis02-1180	265	42	term	term	NOUN
ajis02-1180	265	43	overlap	overlap	NOUN
ajis02-1180	265	44	between	between	ADP
ajis02-1180	265	45	the	the	DET
ajis02-1180	265	46	clusters	cluster	NOUN
ajis02-1180	265	47	.	.	PUNCT
ajis02-1180	266	1	however	however	ADV
ajis02-1180	266	2	it	it	PRON
ajis02-1180	266	3	was	be	AUX
ajis02-1180	266	4	noticed	notice	VERB
ajis02-1180	266	5	that	that	SCONJ
ajis02-1180	266	6	the	the	DET
ajis02-1180	266	7	analysis	analysis	NOUN
ajis02-1180	266	8	output	output	NOUN
ajis02-1180	266	9	we	we	PRON
ajis02-1180	266	10	obtained	obtain	VERB
ajis02-1180	266	11	by	by	ADP
ajis02-1180	266	12	following	follow	VERB
ajis02-1180	266	13	the	the	DET
ajis02-1180	266	14	novel	novel	ADJ
ajis02-1180	266	15	methodology	methodology	NOUN
ajis02-1180	266	16	is	be	AUX
ajis02-1180	266	17	highly	highly	ADV
ajis02-1180	266	18	dependent	dependent	ADJ
ajis02-1180	266	19	on	on	ADP
ajis02-1180	266	20	the	the	DET
ajis02-1180	266	21	repetitive	repetitive	ADJ
ajis02-1180	266	22	terms	term	NOUN
ajis02-1180	266	23	within	within	ADP
ajis02-1180	266	24	the	the	DET
ajis02-1180	266	25	given	give	VERB
ajis02-1180	266	26	document	document	NOUN
ajis02-1180	266	27	set	set	VERB
ajis02-1180	266	28	regardless	regardless	ADV
ajis02-1180	266	29	of	of	ADP
ajis02-1180	266	30	the	the	DET
ajis02-1180	266	31	themes	theme	NOUN
ajis02-1180	266	32	they	they	PRON
ajis02-1180	266	33	are	be	AUX
ajis02-1180	266	34	actually	actually	ADV
ajis02-1180	266	35	associated	associate	VERB
ajis02-1180	266	36	with	with	ADP
ajis02-1180	266	37	.	.	PUNCT
ajis02-1180	267	1	one	one	NUM
ajis02-1180	267	2	advantage	advantage	NOUN
ajis02-1180	267	3	of	of	ADP
ajis02-1180	267	4	the	the	DET
ajis02-1180	267	5	novel	novel	ADJ
ajis02-1180	267	6	methodology	methodology	NOUN
ajis02-1180	267	7	is	be	AUX
ajis02-1180	267	8	that	that	SCONJ
ajis02-1180	267	9	it	it	PRON
ajis02-1180	267	10	allows	allow	VERB
ajis02-1180	267	11	investigating	investigate	VERB
ajis02-1180	267	12	the	the	DET
ajis02-1180	267	13	diversity	diversity	NOUN
ajis02-1180	267	14	of	of	ADP
ajis02-1180	267	15	the	the	DET
ajis02-1180	267	16	document	document	NOUN
ajis02-1180	267	17	content	content	NOUN
ajis02-1180	267	18	for	for	ADP
ajis02-1180	267	19	a	a	DET
ajis02-1180	267	20	given	give	VERB
ajis02-1180	267	21	document	document	NOUN
ajis02-1180	267	22	set	set	NOUN
ajis02-1180	267	23	.	.	PUNCT
ajis02-1180	268	1	in	in	ADP
ajis02-1180	268	2	addition	addition	NOUN
ajis02-1180	268	3	it	it	PRON
ajis02-1180	268	4	allows	allow	VERB
ajis02-1180	268	5	making	make	VERB
ajis02-1180	268	6	decisions	decision	NOUN
ajis02-1180	268	7	on	on	ADP
ajis02-1180	268	8	what	what	PRON
ajis02-1180	268	9	documents	document	NOUN
ajis02-1180	268	10	are	be	AUX
ajis02-1180	268	11	more	more	ADV
ajis02-1180	268	12	likely	likely	ADJ
ajis02-1180	268	13	representing	represent	VERB
ajis02-1180	268	14	a	a	DET
ajis02-1180	268	15	similar	similar	ADJ
ajis02-1180	268	16	or	or	CCONJ
ajis02-1180	268	17	close	close	ADJ
ajis02-1180	268	18	document	document	NOUN
ajis02-1180	268	19	category	category	NOUN
ajis02-1180	268	20	based	base	VERB
ajis02-1180	268	21	on	on	ADP
ajis02-1180	268	22	term	term	NOUN
ajis02-1180	268	23	overlap	overlap	NOUN
ajis02-1180	268	24	.	.	PUNCT
ajis02-1180	269	1	organizations	organization	NOUN
ajis02-1180	269	2	collect	collect	VERB
ajis02-1180	269	3	large	large	ADJ
ajis02-1180	269	4	volumes	volume	NOUN
ajis02-1180	269	5	of	of	ADP
ajis02-1180	269	6	documents	document	NOUN
ajis02-1180	269	7	which	which	PRON
ajis02-1180	269	8	contain	contain	VERB
ajis02-1180	269	9	information	information	NOUN
ajis02-1180	269	10	necessary	necessary	ADJ
ajis02-1180	269	11	for	for	ADP
ajis02-1180	269	12	decision	decision	NOUN
ajis02-1180	269	13	making	making	NOUN
ajis02-1180	269	14	at	at	ADP
ajis02-1180	269	15	various	various	ADJ
ajis02-1180	269	16	levels	level	NOUN
ajis02-1180	269	17	.	.	PUNCT
ajis02-1180	270	1	automating	automate	VERB
ajis02-1180	270	2	the	the	DET
ajis02-1180	270	3	separation	separation	NOUN
ajis02-1180	270	4	of	of	ADP
ajis02-1180	270	5	documents	document	NOUN
ajis02-1180	270	6	into	into	ADP
ajis02-1180	270	7	useful	useful	ADJ
ajis02-1180	270	8	groups	group	NOUN
ajis02-1180	270	9	is	be	AUX
ajis02-1180	270	10	highly	highly	ADV
ajis02-1180	270	11	beneficial	beneficial	ADJ
ajis02-1180	270	12	since	since	SCONJ
ajis02-1180	270	13	this	this	PRON
ajis02-1180	270	14	will	will	AUX
ajis02-1180	270	15	cut	cut	VERB
ajis02-1180	270	16	down	down	ADP
ajis02-1180	270	17	lengthy	lengthy	ADJ
ajis02-1180	270	18	manual	manual	ADJ
ajis02-1180	270	19	processing	processing	NOUN
ajis02-1180	270	20	which	which	PRON
ajis02-1180	270	21	becomes	become	VERB
ajis02-1180	270	22	almost	almost	ADV
ajis02-1180	270	23	impossible	impossible	ADJ
ajis02-1180	270	24	due	due	ADP
ajis02-1180	270	25	to	to	ADP
ajis02-1180	270	26	large	large	ADJ
ajis02-1180	270	27	volumes	volume	NOUN
ajis02-1180	270	28	and	and	CCONJ
ajis02-1180	270	29	high	high	ADJ
ajis02-1180	270	30	frequency	frequency	NOUN
ajis02-1180	270	31	of	of	ADP
ajis02-1180	270	32	document	document	NOUN
ajis02-1180	270	33	collection	collection	NOUN
ajis02-1180	270	34	.	.	PUNCT
ajis02-1180	271	1	traditionally	traditionally	ADV
ajis02-1180	271	2	documents	document	NOUN
ajis02-1180	271	3	are	be	AUX
ajis02-1180	271	4	grouped	group	VERB
ajis02-1180	271	5	in	in	ADP
ajis02-1180	271	6	to	to	ADP
ajis02-1180	271	7	pre	pre	ADJ
ajis02-1180	271	8	-	-	ADJ
ajis02-1180	271	9	defined	define	VERB
ajis02-1180	271	10	categories	category	NOUN
ajis02-1180	271	11	but	but	CCONJ
ajis02-1180	271	12	a	a	DET
ajis02-1180	271	13	document	document	NOUN
ajis02-1180	271	14	may	may	AUX
ajis02-1180	271	15	belong	belong	VERB
ajis02-1180	271	16	to	to	ADP
ajis02-1180	271	17	several	several	ADJ
ajis02-1180	271	18	such	such	ADJ
ajis02-1180	271	19	categories	category	NOUN
ajis02-1180	271	20	or	or	CCONJ
ajis02-1180	271	21	better	well	ADJ
ajis02-1180	271	22	fit	fit	ADJ
ajis02-1180	271	23	into	into	ADP
ajis02-1180	271	24	a	a	DET
ajis02-1180	271	25	new	new	ADJ
ajis02-1180	271	26	category	category	NOUN
ajis02-1180	271	27	(	(	PUNCT
ajis02-1180	271	28	no	no	DET
ajis02-1180	271	29	existing	exist	VERB
ajis02-1180	271	30	category	category	NOUN
ajis02-1180	271	31	)	)	PUNCT
ajis02-1180	271	32	based	base	VERB
ajis02-1180	271	33	on	on	ADP
ajis02-1180	271	34	the	the	DET
ajis02-1180	271	35	content	content	NOUN
ajis02-1180	271	36	.	.	PUNCT
ajis02-1180	272	1	the	the	DET
ajis02-1180	272	2	methodology	methodology	NOUN
ajis02-1180	272	3	proposed	propose	VERB
ajis02-1180	272	4	in	in	ADP
ajis02-1180	272	5	this	this	DET
ajis02-1180	272	6	paper	paper	NOUN
ajis02-1180	272	7	enables	enable	VERB
ajis02-1180	272	8	exploration	exploration	NOUN
ajis02-1180	272	9	of	of	ADP
ajis02-1180	272	10	a	a	DET
ajis02-1180	272	11	document	document	NOUN
ajis02-1180	272	12	corpus	corpus	NOUN
ajis02-1180	272	13	by	by	ADP
ajis02-1180	272	14	content	content	NOUN
ajis02-1180	272	15	and	and	CCONJ
ajis02-1180	272	16	hierarchically	hierarchically	ADV
ajis02-1180	272	17	separating	separate	VERB
ajis02-1180	272	18	into	into	ADP
ajis02-1180	272	19	categories	category	NOUN
ajis02-1180	272	20	and	and	CCONJ
ajis02-1180	272	21	sub	sub	NOUN
ajis02-1180	272	22	categories	category	NOUN
ajis02-1180	272	23	based	base	VERB
ajis02-1180	272	24	on	on	ADP
ajis02-1180	272	25	term	term	NOUN
ajis02-1180	272	26	overlap	overlap	NOUN
ajis02-1180	272	27	.	.	PUNCT
ajis02-1180	273	1	s72	s72	PROPN
ajis02-1180	273	2	australasian	australasian	ADJ
ajis02-1180	273	3	journal	journal	NOUN
ajis02-1180	273	4	of	of	ADP
ajis02-1180	273	5	information	information	NOUN
ajis02-1180	273	6	systems	system	NOUN
ajis02-1180	273	7	nathawitharana	nathawitharana	PROPN
ajis02-1180	273	8	,	,	PUNCT
ajis02-1180	273	9	alahakoon	alahakoon	PROPN
ajis02-1180	273	10	&	&	CCONJ
ajis02-1180	273	11	matharage	matharage	NOUN
ajis02-1180	273	12	2015	2015	NUM
ajis02-1180	273	13	,	,	PUNCT
ajis02-1180	273	14	vol	vol	NOUN
ajis02-1180	273	15	.	.	PROPN
ajis02-1180	273	16	19	19	NUM
ajis02-1180	273	17	,	,	PUNCT
ajis02-1180	273	18	pp	pp	PROPN
ajis02-1180	273	19	.	.	PUNCT
ajis02-1180	274	1	s55	s55	PROPN
ajis02-1180	274	2	-	-	PUNCT
ajis02-1180	274	3	s75	s75	NOUN
ajis02-1180	274	4	improving	improve	VERB
ajis02-1180	274	5	decision	decision	NOUN
ajis02-1180	274	6	value	value	NOUN
ajis02-1180	274	7	of	of	ADP
ajis02-1180	274	8	hierarchical	hierarchical	ADJ
ajis02-1180	274	9	text	text	NOUN
ajis02-1180	274	10	references	reference	NOUN
ajis02-1180	274	11	ahmad	ahmad	PROPN
ajis02-1180	274	12	,	,	PUNCT
ajis02-1180	274	13	n.	n.	NOUN
ajis02-1180	274	14	,	,	PUNCT
ajis02-1180	274	15	alahakoon	alahakoon	PROPN
ajis02-1180	274	16	,	,	PUNCT
ajis02-1180	274	17	d.	d.	PROPN
ajis02-1180	274	18	,	,	PUNCT
ajis02-1180	274	19	and	and	CCONJ
ajis02-1180	274	20	chau	chau	NOUN
ajis02-1180	274	21	,	,	PUNCT
ajis02-1180	274	22	r.	r.	PROPN
ajis02-1180	274	23	2010	2010	NUM
ajis02-1180	274	24	.	.	PUNCT
ajis02-1180	275	1	"	"	PUNCT
ajis02-1180	275	2	cluster	cluster	NOUN
ajis02-1180	275	3	identification	identification	NOUN
ajis02-1180	275	4	and	and	CCONJ
ajis02-1180	275	5	separation	separation	NOUN
ajis02-1180	275	6	in	in	ADP
ajis02-1180	275	7	the	the	DET
ajis02-1180	275	8	growing	grow	VERB
ajis02-1180	275	9	self	self	NOUN
ajis02-1180	275	10	-	-	PUNCT
ajis02-1180	275	11	organizing	organize	VERB
ajis02-1180	275	12	map	map	NOUN
ajis02-1180	275	13	:	:	PUNCT
ajis02-1180	275	14	application	application	NOUN
ajis02-1180	275	15	in	in	ADP
ajis02-1180	275	16	protein	protein	NOUN
ajis02-1180	275	17	sequence	sequence	NOUN
ajis02-1180	275	18	classification	classification	NOUN
ajis02-1180	275	19	,	,	PUNCT
ajis02-1180	275	20	"	"	PUNCT
ajis02-1180	275	21	neural	neural	ADJ
ajis02-1180	275	22	computing	computing	NOUN
ajis02-1180	275	23	&	&	CCONJ
ajis02-1180	275	24	applications	application	NOUN
ajis02-1180	275	25	(	(	PUNCT
ajis02-1180	275	26	19:4	19:4	NUM
ajis02-1180	275	27	)	)	PUNCT
ajis02-1180	275	28	,	,	PUNCT
ajis02-1180	275	29	pp	pp	ADJ
ajis02-1180	275	30	.	.	PUNCT
ajis02-1180	276	1	531	531	NUM
ajis02-1180	276	2	-	-	SYM
ajis02-1180	276	3	542	542	NUM
ajis02-1180	276	4	.	.	PUNCT
ajis02-1180	277	1	alahakoon	alahakoon	PROPN
ajis02-1180	277	2	,	,	PUNCT
ajis02-1180	277	3	d.	d.	PROPN
ajis02-1180	277	4	,	,	PUNCT
ajis02-1180	277	5	halgamuge	halgamuge	NOUN
ajis02-1180	277	6	,	,	PUNCT
ajis02-1180	277	7	s.	s.	PROPN
ajis02-1180	277	8	k.	k.	PROPN
ajis02-1180	277	9	,	,	PUNCT
ajis02-1180	277	10	and	and	CCONJ
ajis02-1180	277	11	srinivasan	srinivasan	NOUN
ajis02-1180	277	12	,	,	PUNCT
ajis02-1180	277	13	b.	b.	PROPN
ajis02-1180	277	14	2000	2000	NUM
ajis02-1180	277	15	.	.	PUNCT
ajis02-1180	278	1	"	"	PUNCT
ajis02-1180	278	2	dynamic	dynamic	ADJ
ajis02-1180	278	3	self	self	NOUN
ajis02-1180	278	4	-	-	PUNCT
ajis02-1180	278	5	organizing	organize	VERB
ajis02-1180	278	6	maps	map	NOUN
ajis02-1180	278	7	with	with	ADP
ajis02-1180	278	8	controlled	control	VERB
ajis02-1180	278	9	growth	growth	NOUN
ajis02-1180	278	10	for	for	ADP
ajis02-1180	278	11	knowledge	knowledge	NOUN
ajis02-1180	278	12	discovery	discovery	NOUN
ajis02-1180	278	13	,	,	PUNCT
ajis02-1180	278	14	"	"	PUNCT
ajis02-1180	278	15	ieee	ieee	NOUN
ajis02-1180	278	16	transactions	transaction	NOUN
ajis02-1180	278	17	on	on	ADP
ajis02-1180	278	18	neural	neural	ADJ
ajis02-1180	278	19	networks	network	NOUN
ajis02-1180	278	20	(	(	PUNCT
ajis02-1180	278	21	11:3	11:3	NUM
ajis02-1180	278	22	)	)	PUNCT
ajis02-1180	278	23	,	,	PUNCT
ajis02-1180	278	24	pp	pp	ADP
ajis02-1180	278	25	.	.	PUNCT
ajis02-1180	279	1	601	601	NUM
ajis02-1180	279	2	-	-	SYM
ajis02-1180	279	3	614	614	NUM
ajis02-1180	279	4	.	.	PUNCT
ajis02-1180	280	1	alahakoon	alahakoon	PROPN
ajis02-1180	280	2	,	,	PUNCT
ajis02-1180	280	3	d.	d.	PROPN
ajis02-1180	280	4	,	,	PUNCT
ajis02-1180	280	5	halgamuge	halgamuge	NOUN
ajis02-1180	280	6	,	,	PUNCT
ajis02-1180	280	7	s.	s.	PROPN
ajis02-1180	280	8	k.	k.	PROPN
ajis02-1180	280	9	,	,	PUNCT
ajis02-1180	280	10	and	and	CCONJ
ajis02-1180	280	11	srinivasan	srinivasan	NOUN
ajis02-1180	280	12	,	,	PUNCT
ajis02-1180	280	13	b.	b.	PROPN
ajis02-1180	280	14	2001	2001	NUM
ajis02-1180	280	15	.	.	PUNCT
ajis02-1180	281	1	"	"	PUNCT
ajis02-1180	281	2	mining	mine	VERB
ajis02-1180	281	3	a	a	DET
ajis02-1180	281	4	growing	grow	VERB
ajis02-1180	281	5	feature	feature	NOUN
ajis02-1180	281	6	map	map	NOUN
ajis02-1180	281	7	by	by	ADP
ajis02-1180	281	8	data	datum	NOUN
ajis02-1180	281	9	skeleton	skeleton	NOUN
ajis02-1180	281	10	modelling	modelling	NOUN
ajis02-1180	281	11	,	,	PUNCT
ajis02-1180	281	12	"	"	PUNCT
ajis02-1180	281	13	data	datum	NOUN
ajis02-1180	281	14	mining	mining	NOUN
ajis02-1180	281	15	and	and	CCONJ
ajis02-1180	281	16	computational	computational	ADJ
ajis02-1180	281	17	intelligence	intelligence	NOUN
ajis02-1180	281	18	(	(	PUNCT
ajis02-1180	281	19	68	68	NUM
ajis02-1180	281	20	)	)	PUNCT
ajis02-1180	281	21	,	,	PUNCT
ajis02-1180	281	22	pp	pp	ADP
ajis02-1180	281	23	.	.	PUNCT
ajis02-1180	281	24	217250	217250	NUM
ajis02-1180	281	25	.	.	PUNCT
ajis02-1180	282	1	amarasiri	amarasiri	PROPN
ajis02-1180	282	2	,	,	PUNCT
ajis02-1180	282	3	r.	r.	PROPN
ajis02-1180	282	4	,	,	PUNCT
ajis02-1180	282	5	alahakoon	alahakoon	PROPN
ajis02-1180	282	6	,	,	PUNCT
ajis02-1180	282	7	d.	d.	PROPN
ajis02-1180	282	8	,	,	PUNCT
ajis02-1180	282	9	and	and	CCONJ
ajis02-1180	282	10	smith	smith	PROPN
ajis02-1180	282	11	,	,	PUNCT
ajis02-1180	282	12	k.	k.	PROPN
ajis02-1180	282	13	a.	a.	PROPN
ajis02-1180	282	14	2005	2005	NUM
ajis02-1180	282	15	.	.	PUNCT
ajis02-1180	283	1	"	"	PUNCT
ajis02-1180	283	2	hdgsom	hdgsom	NOUN
ajis02-1180	283	3	:	:	PUNCT
ajis02-1180	283	4	a	a	DET
ajis02-1180	283	5	modified	modified	ADJ
ajis02-1180	283	6	growing	grow	VERB
ajis02-1180	283	7	selforganizing	selforganize	VERB
ajis02-1180	283	8	map	map	NOUN
ajis02-1180	283	9	for	for	ADP
ajis02-1180	283	10	high	high	ADJ
ajis02-1180	283	11	dimensional	dimensional	ADJ
ajis02-1180	283	12	data	datum	NOUN
ajis02-1180	283	13	clustering	cluster	VERB
ajis02-1180	283	14	,	,	PUNCT
ajis02-1180	283	15	"	"	PUNCT
ajis02-1180	283	16	his'04	his'04	NUM
ajis02-1180	283	17	:	:	PUNCT
ajis02-1180	283	18	fourth	fourth	ADJ
ajis02-1180	283	19	international	international	ADJ
ajis02-1180	283	20	conference	conference	NOUN
ajis02-1180	283	21	on	on	ADP
ajis02-1180	283	22	hybrid	hybrid	ADJ
ajis02-1180	283	23	intelligent	intelligent	ADJ
ajis02-1180	283	24	systems	system	NOUN
ajis02-1180	283	25	,	,	PUNCT
ajis02-1180	283	26	proceedings	proceeding	NOUN
ajis02-1180	283	27	,	,	PUNCT
ajis02-1180	283	28	pp	pp	ADV
ajis02-1180	283	29	.	.	PUNCT
ajis02-1180	284	1	216	216	NUM
ajis02-1180	284	2	-	-	SYM
ajis02-1180	284	3	221	221	NUM
ajis02-1180	284	4	.	.	PUNCT
ajis02-1180	285	1	amarasiri	amarasiri	PROPN
ajis02-1180	285	2	,	,	PUNCT
ajis02-1180	285	3	r.	r.	PROPN
ajis02-1180	285	4	,	,	PUNCT
ajis02-1180	285	5	wickramasinghe	wickramasinghe	NOUN
ajis02-1180	285	6	,	,	PUNCT
ajis02-1180	285	7	l.	l.	PROPN
ajis02-1180	285	8	,	,	PUNCT
ajis02-1180	285	9	and	and	CCONJ
ajis02-1180	285	10	alahakoon	alahakoon	NOUN
ajis02-1180	285	11	,	,	PUNCT
ajis02-1180	285	12	l.	l.	PROPN
ajis02-1180	285	13	d.	d.	PROPN
ajis02-1180	285	14	2003	2003	NUM
ajis02-1180	285	15	.	.	PUNCT
ajis02-1180	286	1	"	"	PUNCT
ajis02-1180	286	2	enhanced	enhanced	ADJ
ajis02-1180	286	3	cluster	cluster	NOUN
ajis02-1180	286	4	visualization	visualization	NOUN
ajis02-1180	286	5	using	use	VERB
ajis02-1180	286	6	the	the	DET
ajis02-1180	286	7	data	datum	NOUN
ajis02-1180	286	8	skeleton	skeleton	NOUN
ajis02-1180	286	9	model	model	NOUN
ajis02-1180	286	10	,	,	PUNCT
ajis02-1180	286	11	"	"	PUNCT
ajis02-1180	286	12	in	in	ADP
ajis02-1180	286	13	intelligent	intelligent	ADJ
ajis02-1180	286	14	systems	system	NOUN
ajis02-1180	286	15	design	design	NOUN
ajis02-1180	286	16	and	and	CCONJ
ajis02-1180	286	17	applications	application	NOUN
ajis02-1180	286	18	.	.	PUNCT
ajis02-1180	287	1	springer	springer	NOUN
ajis02-1180	287	2	,	,	PUNCT
ajis02-1180	287	3	pp	pp	ADP
ajis02-1180	287	4	.	.	PUNCT
ajis02-1180	288	1	539	539	NUM
ajis02-1180	288	2	-	-	SYM
ajis02-1180	288	3	548	548	NUM
ajis02-1180	288	4	.	.	PUNCT
ajis02-1180	289	1	bache	bache	PROPN
ajis02-1180	289	2	,	,	PUNCT
ajis02-1180	289	3	k.	k.	PROPN
ajis02-1180	289	4	,	,	PUNCT
ajis02-1180	289	5	and	and	CCONJ
ajis02-1180	289	6	lichman	lichman	PROPN
ajis02-1180	289	7	,	,	PUNCT
ajis02-1180	289	8	m.	m.	NOUN
ajis02-1180	289	9	2013	2013	NUM
ajis02-1180	289	10	.	.	PUNCT
ajis02-1180	290	1	{	{	PUNCT
ajis02-1180	290	2	uci	uci	PROPN
ajis02-1180	290	3	}	}	PUNCT
ajis02-1180	290	4	machine	machine	NOUN
ajis02-1180	290	5	learning	learn	VERB
ajis02-1180	290	6	repository	repository	NOUN
ajis02-1180	290	7	.	.	PUNCT
ajis02-1180	291	1	university	university	PROPN
ajis02-1180	291	2	of	of	ADP
ajis02-1180	291	3	california	california	PROPN
ajis02-1180	291	4	,	,	PUNCT
ajis02-1180	291	5	irvine	irvine	PROPN
ajis02-1180	291	6	,	,	PUNCT
ajis02-1180	291	7	school	school	NOUN
ajis02-1180	291	8	of	of	ADP
ajis02-1180	291	9	information	information	NOUN
ajis02-1180	291	10	and	and	CCONJ
ajis02-1180	291	11	computer	computer	NOUN
ajis02-1180	291	12	sciences	sciences	PROPN
ajis02-1180	291	13	.	.	PUNCT
ajis02-1180	292	1	borgelt	borgelt	PROPN
ajis02-1180	292	2	,	,	PUNCT
ajis02-1180	292	3	c.	c.	PROPN
ajis02-1180	292	4	,	,	PUNCT
ajis02-1180	292	5	and	and	CCONJ
ajis02-1180	292	6	nürnberger	nürnberger	ADJ
ajis02-1180	292	7	,	,	PUNCT
ajis02-1180	292	8	a.	a.	NOUN
ajis02-1180	292	9	2004	2004	NUM
ajis02-1180	292	10	.	.	PUNCT
ajis02-1180	293	1	"	"	PUNCT
ajis02-1180	293	2	experiments	experiment	NOUN
ajis02-1180	293	3	in	in	ADP
ajis02-1180	293	4	document	document	NOUN
ajis02-1180	293	5	clustering	clustering	NOUN
ajis02-1180	293	6	using	use	VERB
ajis02-1180	293	7	cluster	cluster	NOUN
ajis02-1180	293	8	specific	specific	ADJ
ajis02-1180	293	9	term	term	NOUN
ajis02-1180	293	10	weights	weight	NOUN
ajis02-1180	293	11	,	,	PUNCT
ajis02-1180	293	12	"	"	PUNCT
ajis02-1180	293	13	proc	proc	NOUN
ajis02-1180	293	14	.	.	PUNCT
ajis02-1180	294	1	workshop	workshop	NOUN
ajis02-1180	294	2	machine	machine	NOUN
ajis02-1180	294	3	learning	learning	NOUN
ajis02-1180	294	4	and	and	CCONJ
ajis02-1180	294	5	interaction	interaction	NOUN
ajis02-1180	294	6	for	for	ADP
ajis02-1180	294	7	textbased	textbase	VERB
ajis02-1180	294	8	information	information	NOUN
ajis02-1180	294	9	retrieval	retrieval	NOUN
ajis02-1180	294	10	(	(	PUNCT
ajis02-1180	294	11	tir	tir	PROPN
ajis02-1180	294	12	2004	2004	NUM
ajis02-1180	294	13	)	)	PUNCT
ajis02-1180	294	14	,	,	PUNCT
ajis02-1180	294	15	pp	pp	ADP
ajis02-1180	294	16	.	.	PUNCT
ajis02-1180	295	1	55	55	NUM
ajis02-1180	295	2	-	-	SYM
ajis02-1180	295	3	68	68	NUM
ajis02-1180	295	4	.	.	PUNCT
ajis02-1180	296	1	d’hondt	d’hondt	PROPN
ajis02-1180	296	2	,	,	PUNCT
ajis02-1180	296	3	j.	j.	PROPN
ajis02-1180	296	4	,	,	PUNCT
ajis02-1180	296	5	vertommen	vertommen	PROPN
ajis02-1180	296	6	,	,	PUNCT
ajis02-1180	296	7	j.	j.	PROPN
ajis02-1180	296	8	,	,	PUNCT
ajis02-1180	296	9	verhaegen	verhaegen	PROPN
ajis02-1180	296	10	,	,	PUNCT
ajis02-1180	296	11	p.-a	p.-a	NOUN
ajis02-1180	296	12	.	.	PUNCT
ajis02-1180	296	13	,	,	PUNCT
ajis02-1180	296	14	cattrysse	cattrysse	PROPN
ajis02-1180	296	15	,	,	PUNCT
ajis02-1180	296	16	d.	d.	PROPN
ajis02-1180	296	17	,	,	PUNCT
ajis02-1180	296	18	and	and	CCONJ
ajis02-1180	296	19	duflou	duflou	PROPN
ajis02-1180	296	20	,	,	PUNCT
ajis02-1180	296	21	j.	j.	PROPN
ajis02-1180	296	22	r.	r.	PROPN
ajis02-1180	296	23	2010	2010	NUM
ajis02-1180	296	24	.	.	PUNCT
ajis02-1180	297	1	"	"	PUNCT
ajis02-1180	297	2	pairwiseadaptive	pairwiseadaptive	ADJ
ajis02-1180	297	3	dissimilarity	dissimilarity	NOUN
ajis02-1180	297	4	measure	measure	NOUN
ajis02-1180	297	5	for	for	ADP
ajis02-1180	297	6	document	document	NOUN
ajis02-1180	297	7	clustering	clustering	NOUN
ajis02-1180	297	8	,	,	PUNCT
ajis02-1180	297	9	"	"	PUNCT
ajis02-1180	297	10	information	information	NOUN
ajis02-1180	297	11	sciences	science	NOUN
ajis02-1180	297	12	(	(	PUNCT
ajis02-1180	297	13	180:12	180:12	NUM
ajis02-1180	297	14	)	)	PUNCT
ajis02-1180	297	15	,	,	PUNCT
ajis02-1180	297	16	pp	pp	ADJ
ajis02-1180	297	17	.	.	PUNCT
ajis02-1180	298	1	2341	2341	NUM
ajis02-1180	298	2	-	-	SYM
ajis02-1180	298	3	2358	2358	NUM
ajis02-1180	298	4	.	.	PUNCT
ajis02-1180	299	1	davies	davy	NOUN
ajis02-1180	299	2	,	,	PUNCT
ajis02-1180	299	3	d.	d.	PROPN
ajis02-1180	299	4	l.	l.	PROPN
ajis02-1180	299	5	,	,	PUNCT
ajis02-1180	299	6	and	and	CCONJ
ajis02-1180	299	7	bouldin	bouldin	PROPN
ajis02-1180	299	8	,	,	PUNCT
ajis02-1180	299	9	d.	d.	PROPN
ajis02-1180	299	10	w.	w.	PROPN
ajis02-1180	299	11	1979	1979	NUM
ajis02-1180	299	12	.	.	PUNCT
ajis02-1180	300	1	"	"	PUNCT
ajis02-1180	300	2	cluster	cluster	NOUN
ajis02-1180	300	3	separation	separation	NOUN
ajis02-1180	300	4	measure	measure	NOUN
ajis02-1180	300	5	,	,	PUNCT
ajis02-1180	300	6	"	"	PUNCT
ajis02-1180	300	7	ieee	ieee	NOUN
ajis02-1180	300	8	transactions	transaction	NOUN
ajis02-1180	300	9	on	on	ADP
ajis02-1180	300	10	pattern	pattern	NOUN
ajis02-1180	300	11	analysis	analysis	NOUN
ajis02-1180	300	12	and	and	CCONJ
ajis02-1180	300	13	machine	machine	NOUN
ajis02-1180	300	14	intelligence	intelligence	NOUN
ajis02-1180	300	15	(	(	PUNCT
ajis02-1180	300	16	1:2	1:2	NUM
ajis02-1180	300	17	)	)	PUNCT
ajis02-1180	300	18	,	,	PUNCT
ajis02-1180	300	19	pp	pp	ADP
ajis02-1180	300	20	.	.	PUNCT
ajis02-1180	301	1	224	224	NUM
ajis02-1180	301	2	-	-	SYM
ajis02-1180	301	3	227	227	NUM
ajis02-1180	301	4	.	.	PUNCT
ajis02-1180	302	1	goldberger	goldberger	ADJ
ajis02-1180	302	2	,	,	PUNCT
ajis02-1180	302	3	a.	a.	PROPN
ajis02-1180	302	4	l.	l.	PROPN
ajis02-1180	302	5	,	,	PUNCT
ajis02-1180	302	6	amaral	amaral	PROPN
ajis02-1180	302	7	,	,	PUNCT
ajis02-1180	302	8	l.	l.	PROPN
ajis02-1180	302	9	a.	a.	PROPN
ajis02-1180	302	10	,	,	PUNCT
ajis02-1180	302	11	glass	glass	NOUN
ajis02-1180	302	12	,	,	PUNCT
ajis02-1180	302	13	l.	l.	PROPN
ajis02-1180	302	14	,	,	PUNCT
ajis02-1180	302	15	hausdorff	hausdorff	PROPN
ajis02-1180	302	16	,	,	PUNCT
ajis02-1180	302	17	j.	j.	PROPN
ajis02-1180	302	18	m.	m.	PROPN
ajis02-1180	302	19	,	,	PUNCT
ajis02-1180	302	20	ivanov	ivanov	PROPN
ajis02-1180	302	21	,	,	PUNCT
ajis02-1180	302	22	p.	p.	PROPN
ajis02-1180	302	23	c.	c.	PROPN
ajis02-1180	302	24	,	,	PUNCT
ajis02-1180	302	25	mark	mark	PROPN
ajis02-1180	302	26	,	,	PUNCT
ajis02-1180	302	27	r.	r.	PROPN
ajis02-1180	302	28	g.	g.	PROPN
ajis02-1180	302	29	,	,	PUNCT
ajis02-1180	302	30	mietus	mietus	PROPN
ajis02-1180	302	31	,	,	PUNCT
ajis02-1180	302	32	j.	j.	PROPN
ajis02-1180	302	33	e.	e.	PROPN
ajis02-1180	302	34	,	,	PUNCT
ajis02-1180	302	35	moody	moody	PROPN
ajis02-1180	302	36	,	,	PUNCT
ajis02-1180	302	37	g.	g.	PROPN
ajis02-1180	302	38	b.	b.	PROPN
ajis02-1180	302	39	,	,	PUNCT
ajis02-1180	302	40	peng	peng	PROPN
ajis02-1180	302	41	,	,	PUNCT
ajis02-1180	302	42	c.	c.	PROPN
ajis02-1180	302	43	k.	k.	PROPN
ajis02-1180	302	44	,	,	PUNCT
ajis02-1180	302	45	and	and	CCONJ
ajis02-1180	302	46	stanley	stanley	PROPN
ajis02-1180	302	47	,	,	PUNCT
ajis02-1180	302	48	h.	h.	PROPN
ajis02-1180	302	49	e.	e.	PROPN
ajis02-1180	302	50	2000	2000	NUM
ajis02-1180	302	51	.	.	PUNCT
ajis02-1180	303	1	"	"	PUNCT
ajis02-1180	303	2	physiobank	physiobank	ADJ
ajis02-1180	303	3	,	,	PUNCT
ajis02-1180	303	4	physiotoolkit	physiotoolkit	NOUN
ajis02-1180	303	5	,	,	PUNCT
ajis02-1180	303	6	and	and	CCONJ
ajis02-1180	303	7	physionet	physionet	NOUN
ajis02-1180	303	8	:	:	PUNCT
ajis02-1180	303	9	components	component	NOUN
ajis02-1180	303	10	of	of	ADP
ajis02-1180	303	11	a	a	DET
ajis02-1180	303	12	new	new	ADJ
ajis02-1180	303	13	research	research	NOUN
ajis02-1180	303	14	resource	resource	NOUN
ajis02-1180	303	15	for	for	ADP
ajis02-1180	303	16	complex	complex	ADJ
ajis02-1180	303	17	physiologic	physiologic	ADJ
ajis02-1180	303	18	signals	signal	NOUN
ajis02-1180	303	19	,	,	PUNCT
ajis02-1180	303	20	"	"	PUNCT
ajis02-1180	303	21	circulation	circulation	NOUN
ajis02-1180	303	22	(	(	PUNCT
ajis02-1180	303	23	101:23	101:23	NUM
ajis02-1180	303	24	)	)	PUNCT
ajis02-1180	303	25	,	,	PUNCT
ajis02-1180	303	26	pp	pp	ADV
ajis02-1180	303	27	.	.	PUNCT
ajis02-1180	304	1	e215	e215	VERB
ajis02-1180	304	2	-	-	SYM
ajis02-1180	304	3	220	220	NUM
ajis02-1180	305	1	.	.	PUNCT
ajis02-1180	305	2	gunasinghe	gunasinghe	NOUN
ajis02-1180	305	3	,	,	PUNCT
ajis02-1180	305	4	u.	u.	PROPN
ajis02-1180	305	5	,	,	PUNCT
ajis02-1180	305	6	matharage	matharage	NOUN
ajis02-1180	305	7	,	,	PUNCT
ajis02-1180	305	8	s.	s.	PROPN
ajis02-1180	305	9	,	,	PUNCT
ajis02-1180	305	10	and	and	CCONJ
ajis02-1180	305	11	alahakoon	alahakoon	NOUN
ajis02-1180	305	12	,	,	PUNCT
ajis02-1180	305	13	d.	d.	PROPN
ajis02-1180	305	14	2012	2012	NUM
ajis02-1180	305	15	.	.	PUNCT
ajis02-1180	306	1	"	"	PUNCT
ajis02-1180	306	2	a	a	DET
ajis02-1180	306	3	sequence	sequence	NOUN
ajis02-1180	306	4	based	base	VERB
ajis02-1180	306	5	dynamic	dynamic	ADJ
ajis02-1180	306	6	som	som	NOUN
ajis02-1180	306	7	model	model	NOUN
ajis02-1180	306	8	for	for	ADP
ajis02-1180	306	9	text	text	NOUN
ajis02-1180	306	10	clustering	clustering	NOUN
ajis02-1180	306	11	,	,	PUNCT
ajis02-1180	306	12	"	"	PUNCT
ajis02-1180	306	13	ieee	ieee	NOUN
ajis02-1180	306	14	international	international	ADJ
ajis02-1180	306	15	joint	joint	ADJ
ajis02-1180	306	16	conference	conference	NOUN
ajis02-1180	306	17	on	on	ADP
ajis02-1180	306	18	neural	neural	ADJ
ajis02-1180	306	19	networks	network	NOUN
ajis02-1180	306	20	(	(	PUNCT
ajis02-1180	306	21	ijcnn	ijcnn	PROPN
ajis02-1180	306	22	)	)	PUNCT
ajis02-1180	306	23	.	.	PUNCT
ajis02-1180	307	1	haiying	haiying	PROPN
ajis02-1180	307	2	,	,	PUNCT
ajis02-1180	307	3	w.	w.	PROPN
ajis02-1180	307	4	,	,	PUNCT
ajis02-1180	307	5	azuaje	azuaje	PROPN
ajis02-1180	307	6	,	,	PUNCT
ajis02-1180	307	7	f.	f.	PROPN
ajis02-1180	307	8	,	,	PUNCT
ajis02-1180	307	9	and	and	CCONJ
ajis02-1180	307	10	black	black	ADJ
ajis02-1180	307	11	,	,	PUNCT
ajis02-1180	307	12	n.	n.	NOUN
ajis02-1180	307	13	2004	2004	NUM
ajis02-1180	307	14	.	.	PUNCT
ajis02-1180	308	1	"	"	PUNCT
ajis02-1180	308	2	an	an	DET
ajis02-1180	308	3	integrative	integrative	ADJ
ajis02-1180	308	4	and	and	CCONJ
ajis02-1180	308	5	interactive	interactive	ADJ
ajis02-1180	308	6	framework	framework	NOUN
ajis02-1180	308	7	for	for	ADP
ajis02-1180	308	8	improving	improve	VERB
ajis02-1180	308	9	biomedical	biomedical	ADJ
ajis02-1180	308	10	pattern	pattern	NOUN
ajis02-1180	308	11	discovery	discovery	NOUN
ajis02-1180	308	12	and	and	CCONJ
ajis02-1180	308	13	visualization	visualization	NOUN
ajis02-1180	308	14	,	,	PUNCT
ajis02-1180	308	15	"	"	PUNCT
ajis02-1180	308	16	ieee	ieee	NOUN
ajis02-1180	308	17	transactions	transaction	NOUN
ajis02-1180	308	18	on	on	ADP
ajis02-1180	308	19	information	information	NOUN
ajis02-1180	308	20	technology	technology	NOUN
ajis02-1180	308	21	in	in	ADP
ajis02-1180	308	22	biomedicine	biomedicine	NOUN
ajis02-1180	308	23	,	,	PUNCT
ajis02-1180	308	24	(	(	PUNCT
ajis02-1180	308	25	8:1	8:1	NUM
ajis02-1180	308	26	)	)	PUNCT
ajis02-1180	308	27	,	,	PUNCT
ajis02-1180	308	28	pp	pp	ADP
ajis02-1180	308	29	.	.	PUNCT
ajis02-1180	309	1	16	16	NUM
ajis02-1180	309	2	-	-	SYM
ajis02-1180	309	3	27	27	NUM
ajis02-1180	309	4	.	.	PUNCT
ajis02-1180	310	1	hsu	hsu	PROPN
ajis02-1180	310	2	,	,	PUNCT
ajis02-1180	310	3	a.	a.	PROPN
ajis02-1180	310	4	l.	l.	PROPN
ajis02-1180	310	5	,	,	PUNCT
ajis02-1180	310	6	tang	tang	PROPN
ajis02-1180	310	7	,	,	PUNCT
ajis02-1180	310	8	s.	s.	PROPN
ajis02-1180	310	9	l.	l.	PROPN
ajis02-1180	310	10	,	,	PUNCT
ajis02-1180	310	11	and	and	CCONJ
ajis02-1180	310	12	halgamuge	halgamuge	NOUN
ajis02-1180	310	13	,	,	PUNCT
ajis02-1180	310	14	s.	s.	PROPN
ajis02-1180	310	15	k.	k.	PROPN
ajis02-1180	310	16	2003	2003	NUM
ajis02-1180	310	17	.	.	PUNCT
ajis02-1180	311	1	"	"	PUNCT
ajis02-1180	311	2	an	an	DET
ajis02-1180	311	3	unsupervised	unsupervised	ADJ
ajis02-1180	311	4	hierarchical	hierarchical	ADJ
ajis02-1180	311	5	dynamic	dynamic	ADJ
ajis02-1180	311	6	self	self	NOUN
ajis02-1180	311	7	-	-	PUNCT
ajis02-1180	311	8	organizing	organize	VERB
ajis02-1180	311	9	approach	approach	NOUN
ajis02-1180	311	10	to	to	ADP
ajis02-1180	311	11	cancer	cancer	NOUN
ajis02-1180	311	12	class	class	NOUN
ajis02-1180	311	13	discovery	discovery	NOUN
ajis02-1180	311	14	and	and	CCONJ
ajis02-1180	311	15	marker	marker	NOUN
ajis02-1180	311	16	gene	gene	NOUN
ajis02-1180	311	17	identification	identification	NOUN
ajis02-1180	311	18	in	in	ADP
ajis02-1180	311	19	microarray	microarray	NOUN
ajis02-1180	311	20	data	datum	NOUN
ajis02-1180	311	21	,	,	PUNCT
ajis02-1180	311	22	"	"	PUNCT
ajis02-1180	311	23	bioinformatics	bioinformatics	NOUN
ajis02-1180	311	24	(	(	PUNCT
ajis02-1180	311	25	19:16	19:16	NUM
ajis02-1180	311	26	)	)	PUNCT
ajis02-1180	311	27	,	,	PUNCT
ajis02-1180	311	28	pp	pp	ADJ
ajis02-1180	311	29	.	.	PUNCT
ajis02-1180	312	1	2131	2131	NUM
ajis02-1180	312	2	-	-	SYM
ajis02-1180	312	3	2140	2140	NUM
ajis02-1180	312	4	.	.	PUNCT
ajis02-1180	313	1	jaccard	jaccard	ADJ
ajis02-1180	313	2	,	,	PUNCT
ajis02-1180	313	3	p.	p.	NOUN
ajis02-1180	313	4	1908	1908	NUM
ajis02-1180	313	5	.	.	PUNCT
ajis02-1180	314	1	"	"	PUNCT
ajis02-1180	314	2	nouvelles	nouvelles	X
ajis02-1180	314	3	recherches	recherche	NOUN
ajis02-1180	314	4	sur	sur	X
ajis02-1180	314	5	la	la	ADJ
ajis02-1180	314	6	distribution	distribution	NOUN
ajis02-1180	314	7	florale	florale	NOUN
ajis02-1180	314	8	,	,	PUNCT
ajis02-1180	314	9	"	"	PUNCT
ajis02-1180	314	10	bulletin	bulletin	NOUN
ajis02-1180	314	11	de	de	X
ajis02-1180	314	12	la	la	X
ajis02-1180	314	13	sociète	sociète	PROPN
ajis02-1180	314	14	vaudense	vaudense	PROPN
ajis02-1180	314	15	des	des	PROPN
ajis02-1180	314	16	sciences	sciences	PROPN
ajis02-1180	314	17	naturelles	naturelle	NOUN
ajis02-1180	314	18	(	(	PUNCT
ajis02-1180	314	19	44	44	NUM
ajis02-1180	314	20	)	)	PUNCT
ajis02-1180	314	21	,	,	PUNCT
ajis02-1180	314	22	pp	pp	ADJ
ajis02-1180	314	23	.	.	PUNCT
ajis02-1180	315	1	223	223	NUM
ajis02-1180	315	2	-	-	SYM
ajis02-1180	315	3	270	270	NUM
ajis02-1180	315	4	.	.	PUNCT
ajis02-1180	316	1	jain	jain	PROPN
ajis02-1180	316	2	,	,	PUNCT
ajis02-1180	316	3	a.	a.	PROPN
ajis02-1180	316	4	k.	k.	PROPN
ajis02-1180	316	5	,	,	PUNCT
ajis02-1180	316	6	murty	murty	PROPN
ajis02-1180	316	7	,	,	PUNCT
ajis02-1180	316	8	m.	m.	NOUN
ajis02-1180	316	9	n.	n.	PROPN
ajis02-1180	316	10	,	,	PUNCT
ajis02-1180	316	11	and	and	CCONJ
ajis02-1180	316	12	flynn	flynn	PROPN
ajis02-1180	316	13	,	,	PUNCT
ajis02-1180	316	14	p.	p.	PROPN
ajis02-1180	316	15	j.	j.	PROPN
ajis02-1180	316	16	1999	1999	NUM
ajis02-1180	316	17	.	.	PUNCT
ajis02-1180	317	1	"	"	PUNCT
ajis02-1180	317	2	data	datum	NOUN
ajis02-1180	317	3	clustering	cluster	VERB
ajis02-1180	317	4	:	:	PUNCT
ajis02-1180	317	5	a	a	DET
ajis02-1180	317	6	review	review	NOUN
ajis02-1180	317	7	,	,	PUNCT
ajis02-1180	317	8	"	"	PUNCT
ajis02-1180	317	9	acm	acm	PROPN
ajis02-1180	317	10	computing	computing	NOUN
ajis02-1180	317	11	surveys	survey	NOUN
ajis02-1180	317	12	(	(	PUNCT
ajis02-1180	317	13	csur	csur	NOUN
ajis02-1180	317	14	)	)	PUNCT
ajis02-1180	317	15	(	(	PUNCT
ajis02-1180	317	16	31:3	31:3	NUM
ajis02-1180	317	17	)	)	PUNCT
ajis02-1180	317	18	,	,	PUNCT
ajis02-1180	317	19	pp	pp	ADP
ajis02-1180	317	20	.	.	PUNCT
ajis02-1180	317	21	264	264	NUM
ajis02-1180	317	22	-	-	SYM
ajis02-1180	317	23	323	323	NUM
ajis02-1180	317	24	.	.	PUNCT
ajis02-1180	318	1	kaski	kaski	PROPN
ajis02-1180	318	2	,	,	PUNCT
ajis02-1180	318	3	s.	s.	PROPN
ajis02-1180	318	4	,	,	PUNCT
ajis02-1180	318	5	honkela	honkela	PROPN
ajis02-1180	318	6	,	,	PUNCT
ajis02-1180	318	7	t.	t.	PROPN
ajis02-1180	318	8	,	,	PUNCT
ajis02-1180	318	9	lagus	lagus	NOUN
ajis02-1180	318	10	,	,	PUNCT
ajis02-1180	318	11	k.	k.	PROPN
ajis02-1180	318	12	,	,	PUNCT
ajis02-1180	318	13	and	and	CCONJ
ajis02-1180	318	14	kohonen	kohonen	PROPN
ajis02-1180	318	15	,	,	PUNCT
ajis02-1180	318	16	t.	t.	NOUN
ajis02-1180	318	17	1998	1998	NUM
ajis02-1180	318	18	.	.	PUNCT
ajis02-1180	319	1	"	"	PUNCT
ajis02-1180	319	2	websom	websom	NOUN
ajis02-1180	319	3	self	self	NOUN
ajis02-1180	319	4	-	-	PUNCT
ajis02-1180	319	5	organizing	organize	VERB
ajis02-1180	319	6	maps	map	NOUN
ajis02-1180	319	7	of	of	ADP
ajis02-1180	319	8	document	document	NOUN
ajis02-1180	319	9	collections	collection	NOUN
ajis02-1180	319	10	,	,	PUNCT
ajis02-1180	319	11	"	"	PUNCT
ajis02-1180	319	12	neurocomputing	neurocompute	VERB
ajis02-1180	319	13	(	(	PUNCT
ajis02-1180	319	14	21:1	21:1	NUM
ajis02-1180	319	15	-	-	SYM
ajis02-1180	319	16	3	3	NUM
ajis02-1180	319	17	)	)	PUNCT
ajis02-1180	319	18	,	,	PUNCT
ajis02-1180	319	19	pp	pp	ADP
ajis02-1180	319	20	.	.	PUNCT
ajis02-1180	320	1	101	101	NUM
ajis02-1180	320	2	-	-	SYM
ajis02-1180	320	3	117	117	NUM
ajis02-1180	320	4	.	.	PUNCT
ajis02-1180	321	1	s73	s73	ADJ
ajis02-1180	321	2	australasian	australasian	ADJ
ajis02-1180	321	3	journal	journal	NOUN
ajis02-1180	321	4	of	of	ADP
ajis02-1180	321	5	information	information	NOUN
ajis02-1180	321	6	systems	system	NOUN
ajis02-1180	321	7	nathawitharana	nathawitharana	PROPN
ajis02-1180	321	8	,	,	PUNCT
ajis02-1180	321	9	alahakoon	alahakoon	PROPN
ajis02-1180	321	10	&	&	CCONJ
ajis02-1180	321	11	matharage	matharage	NOUN
ajis02-1180	321	12	2015	2015	NUM
ajis02-1180	321	13	,	,	PUNCT
ajis02-1180	321	14	vol	vol	NOUN
ajis02-1180	321	15	.	.	PROPN
ajis02-1180	321	16	19	19	NUM
ajis02-1180	321	17	,	,	PUNCT
ajis02-1180	321	18	pp	pp	PROPN
ajis02-1180	321	19	.	.	PUNCT
ajis02-1180	322	1	s55	s55	PROPN
ajis02-1180	322	2	-	-	PUNCT
ajis02-1180	322	3	s75	s75	NOUN
ajis02-1180	322	4	improving	improve	VERB
ajis02-1180	322	5	decision	decision	NOUN
ajis02-1180	322	6	value	value	NOUN
ajis02-1180	322	7	of	of	ADP
ajis02-1180	322	8	hierarchical	hierarchical	ADJ
ajis02-1180	322	9	text	text	NOUN
ajis02-1180	322	10	khadjeh	khadjeh	PROPN
ajis02-1180	322	11	nassirtoussi	nassirtoussi	PROPN
ajis02-1180	322	12	,	,	PUNCT
ajis02-1180	322	13	a.	a.	NOUN
ajis02-1180	322	14	,	,	PUNCT
ajis02-1180	322	15	aghabozorgi	aghabozorgi	PROPN
ajis02-1180	322	16	,	,	PUNCT
ajis02-1180	322	17	s.	s.	PROPN
ajis02-1180	322	18	,	,	PUNCT
ajis02-1180	322	19	ying	ying	PROPN
ajis02-1180	322	20	wah	wah	PROPN
ajis02-1180	322	21	,	,	PUNCT
ajis02-1180	322	22	t.	t.	PROPN
ajis02-1180	322	23	,	,	PUNCT
ajis02-1180	322	24	and	and	CCONJ
ajis02-1180	322	25	ngo	ngo	PROPN
ajis02-1180	322	26	,	,	PUNCT
ajis02-1180	322	27	d.	d.	PROPN
ajis02-1180	322	28	c.	c.	PROPN
ajis02-1180	322	29	l.	l.	PROPN
ajis02-1180	322	30	2014	2014	NUM
ajis02-1180	322	31	.	.	PUNCT
ajis02-1180	323	1	"	"	PUNCT
ajis02-1180	323	2	text	text	NOUN
ajis02-1180	323	3	mining	mining	NOUN
ajis02-1180	323	4	for	for	ADP
ajis02-1180	323	5	market	market	NOUN
ajis02-1180	323	6	prediction	prediction	NOUN
ajis02-1180	323	7	:	:	PUNCT
ajis02-1180	323	8	a	a	DET
ajis02-1180	323	9	systematic	systematic	ADJ
ajis02-1180	323	10	review	review	NOUN
ajis02-1180	323	11	,	,	PUNCT
ajis02-1180	323	12	"	"	PUNCT
ajis02-1180	323	13	expert	expert	NOUN
ajis02-1180	323	14	systems	system	NOUN
ajis02-1180	323	15	with	with	ADP
ajis02-1180	323	16	applications	application	NOUN
ajis02-1180	323	17	(	(	PUNCT
ajis02-1180	323	18	41:16	41:16	NUM
ajis02-1180	323	19	)	)	PUNCT
ajis02-1180	323	20	,	,	PUNCT
ajis02-1180	323	21	pp	pp	ADP
ajis02-1180	323	22	.	.	PUNCT
ajis02-1180	324	1	7653	7653	NUM
ajis02-1180	324	2	-	-	SYM
ajis02-1180	324	3	7670	7670	NUM
ajis02-1180	324	4	.	.	PUNCT
ajis02-1180	325	1	kohonen	kohonen	PROPN
ajis02-1180	325	2	,	,	PUNCT
ajis02-1180	325	3	t.	t.	PROPN
ajis02-1180	325	4	1982	1982	NUM
ajis02-1180	325	5	.	.	PUNCT
ajis02-1180	326	1	"	"	PUNCT
ajis02-1180	326	2	self	self	NOUN
ajis02-1180	326	3	-	-	PUNCT
ajis02-1180	326	4	organized	organize	VERB
ajis02-1180	326	5	formation	formation	NOUN
ajis02-1180	326	6	of	of	ADP
ajis02-1180	326	7	topologically	topologically	ADV
ajis02-1180	326	8	correct	correct	ADJ
ajis02-1180	326	9	feature	feature	NOUN
ajis02-1180	326	10	maps	map	NOUN
ajis02-1180	326	11	,	,	PUNCT
ajis02-1180	326	12	"	"	PUNCT
ajis02-1180	326	13	biological	biological	ADJ
ajis02-1180	326	14	cybernetics	cybernetic	NOUN
ajis02-1180	326	15	(	(	PUNCT
ajis02-1180	326	16	43:1	43:1	NUM
ajis02-1180	326	17	)	)	PUNCT
ajis02-1180	326	18	,	,	PUNCT
ajis02-1180	326	19	pp	pp	ADP
ajis02-1180	326	20	.	.	PUNCT
ajis02-1180	327	1	59	59	NUM
ajis02-1180	327	2	-	-	SYM
ajis02-1180	327	3	69	69	NUM
ajis02-1180	327	4	.	.	PUNCT
ajis02-1180	328	1	kohonen	kohonen	PROPN
ajis02-1180	328	2	,	,	PUNCT
ajis02-1180	328	3	t.	t.	PROPN
ajis02-1180	328	4	1998	1998	NUM
ajis02-1180	328	5	.	.	PUNCT
ajis02-1180	329	1	"	"	PUNCT
ajis02-1180	329	2	the	the	DET
ajis02-1180	329	3	self	self	NOUN
ajis02-1180	329	4	-	-	PUNCT
ajis02-1180	329	5	organizing	organize	VERB
ajis02-1180	329	6	map	map	NOUN
ajis02-1180	329	7	,	,	PUNCT
ajis02-1180	329	8	"	"	PUNCT
ajis02-1180	329	9	neurocomputing	neurocompute	VERB
ajis02-1180	329	10	(	(	PUNCT
ajis02-1180	329	11	21:1	21:1	NUM
ajis02-1180	329	12	-	-	SYM
ajis02-1180	329	13	3	3	NUM
ajis02-1180	329	14	)	)	PUNCT
ajis02-1180	329	15	,	,	PUNCT
ajis02-1180	329	16	pp	pp	PROPN
ajis02-1180	329	17	.	.	PUNCT
ajis02-1180	330	1	1	1	NUM
ajis02-1180	330	2	-	-	SYM
ajis02-1180	330	3	6	6	NUM
ajis02-1180	330	4	.	.	PUNCT
ajis02-1180	331	1	kohonen	kohonen	PROPN
ajis02-1180	331	2	,	,	PUNCT
ajis02-1180	331	3	t.	t.	PROPN
ajis02-1180	331	4	,	,	PUNCT
ajis02-1180	331	5	kaski	kaski	PROPN
ajis02-1180	331	6	,	,	PUNCT
ajis02-1180	331	7	s.	s.	PROPN
ajis02-1180	331	8	,	,	PUNCT
ajis02-1180	331	9	lagus	lagus	PROPN
ajis02-1180	331	10	,	,	PUNCT
ajis02-1180	331	11	k.	k.	PROPN
ajis02-1180	331	12	,	,	PUNCT
ajis02-1180	331	13	salojarvi	salojarvi	VERB
ajis02-1180	331	14	,	,	PUNCT
ajis02-1180	331	15	j.	j.	PROPN
ajis02-1180	331	16	,	,	PUNCT
ajis02-1180	331	17	honkela	honkela	PROPN
ajis02-1180	331	18	,	,	PUNCT
ajis02-1180	331	19	j.	j.	PROPN
ajis02-1180	331	20	,	,	PUNCT
ajis02-1180	331	21	paatero	paatero	PROPN
ajis02-1180	331	22	,	,	PUNCT
ajis02-1180	331	23	v.	v.	ADV
ajis02-1180	331	24	,	,	PUNCT
ajis02-1180	331	25	and	and	CCONJ
ajis02-1180	331	26	saarela	saarela	PROPN
ajis02-1180	331	27	,	,	PUNCT
ajis02-1180	331	28	a.	a.	NOUN
ajis02-1180	331	29	2000	2000	NUM
ajis02-1180	331	30	.	.	PUNCT
ajis02-1180	332	1	"	"	PUNCT
ajis02-1180	332	2	self	self	NOUN
ajis02-1180	332	3	organization	organization	NOUN
ajis02-1180	332	4	of	of	ADP
ajis02-1180	332	5	a	a	DET
ajis02-1180	332	6	massive	massive	ADJ
ajis02-1180	332	7	document	document	NOUN
ajis02-1180	332	8	collection	collection	NOUN
ajis02-1180	332	9	,	,	PUNCT
ajis02-1180	332	10	"	"	PUNCT
ajis02-1180	332	11	ieee	ieee	NOUN
ajis02-1180	332	12	transactions	transaction	NOUN
ajis02-1180	332	13	on	on	ADP
ajis02-1180	332	14	neural	neural	ADJ
ajis02-1180	332	15	networks	network	NOUN
ajis02-1180	332	16	(	(	PUNCT
ajis02-1180	332	17	11:3	11:3	NUM
ajis02-1180	332	18	)	)	PUNCT
ajis02-1180	332	19	,	,	PUNCT
ajis02-1180	332	20	pp	pp	ADJ
ajis02-1180	332	21	.	.	PUNCT
ajis02-1180	333	1	574	574	NUM
ajis02-1180	333	2	-	-	SYM
ajis02-1180	333	3	585	585	NUM
ajis02-1180	333	4	.	.	PUNCT
ajis02-1180	334	1	lu	lu	PROPN
ajis02-1180	334	2	,	,	PUNCT
ajis02-1180	334	3	y.	y.	PROPN
ajis02-1180	334	4	,	,	PUNCT
ajis02-1180	334	5	zhang	zhang	PROPN
ajis02-1180	334	6	,	,	PUNCT
ajis02-1180	334	7	p.	p.	PROPN
ajis02-1180	334	8	,	,	PUNCT
ajis02-1180	334	9	liu	liu	PROPN
ajis02-1180	334	10	,	,	PUNCT
ajis02-1180	334	11	j.	j.	PROPN
ajis02-1180	334	12	,	,	PUNCT
ajis02-1180	334	13	li	li	PROPN
ajis02-1180	334	14	,	,	PUNCT
ajis02-1180	334	15	j.	j.	PROPN
ajis02-1180	334	16	,	,	PUNCT
ajis02-1180	334	17	and	and	CCONJ
ajis02-1180	334	18	deng	deng	PROPN
ajis02-1180	334	19	,	,	PUNCT
ajis02-1180	334	20	s.	s.	PROPN
ajis02-1180	334	21	2013	2013	NUM
ajis02-1180	334	22	.	.	PUNCT
ajis02-1180	335	1	"	"	PUNCT
ajis02-1180	335	2	health	health	NOUN
ajis02-1180	335	3	-	-	PUNCT
ajis02-1180	335	4	related	relate	VERB
ajis02-1180	335	5	hot	hot	ADJ
ajis02-1180	335	6	topic	topic	NOUN
ajis02-1180	335	7	detection	detection	NOUN
ajis02-1180	335	8	in	in	ADP
ajis02-1180	335	9	online	online	ADJ
ajis02-1180	335	10	communities	community	NOUN
ajis02-1180	335	11	using	use	VERB
ajis02-1180	335	12	text	text	NOUN
ajis02-1180	335	13	clustering	clustering	NOUN
ajis02-1180	335	14	,	,	PUNCT
ajis02-1180	335	15	"	"	PUNCT
ajis02-1180	335	16	plos	plos	PROPN
ajis02-1180	335	17	one	one	NUM
ajis02-1180	335	18	(	(	PUNCT
ajis02-1180	335	19	8:2	8:2	NUM
ajis02-1180	335	20	)	)	PUNCT
ajis02-1180	335	21	.	.	PUNCT
ajis02-1180	336	1	matharage	matharage	NOUN
ajis02-1180	336	2	,	,	PUNCT
ajis02-1180	336	3	s.	s.	PROPN
ajis02-1180	336	4	,	,	PUNCT
ajis02-1180	336	5	alahakoon	alahakoon	NOUN
ajis02-1180	336	6	,	,	PUNCT
ajis02-1180	336	7	o.	o.	NOUN
ajis02-1180	336	8	,	,	PUNCT
ajis02-1180	336	9	alahakoon	alahakoon	PROPN
ajis02-1180	336	10	,	,	PUNCT
ajis02-1180	336	11	d.	d.	PROPN
ajis02-1180	336	12	,	,	PUNCT
ajis02-1180	336	13	kapurubandara	kapurubandara	PROPN
ajis02-1180	336	14	,	,	PUNCT
ajis02-1180	336	15	s.	s.	PROPN
ajis02-1180	336	16	,	,	PUNCT
ajis02-1180	336	17	nayyar	nayyar	PROPN
ajis02-1180	336	18	,	,	PUNCT
ajis02-1180	336	19	r.	r.	PROPN
ajis02-1180	336	20	,	,	PUNCT
ajis02-1180	336	21	mukherji	mukherji	PROPN
ajis02-1180	336	22	,	,	PUNCT
ajis02-1180	336	23	m.	m.	NOUN
ajis02-1180	336	24	,	,	PUNCT
ajis02-1180	336	25	jagadish	jagadish	PROPN
ajis02-1180	336	26	,	,	PUNCT
ajis02-1180	336	27	u.	u.	PROPN
ajis02-1180	336	28	,	,	PUNCT
ajis02-1180	336	29	yim	yim	PROPN
ajis02-1180	336	30	,	,	PUNCT
ajis02-1180	336	31	s.	s.	PROPN
ajis02-1180	336	32	,	,	PUNCT
ajis02-1180	336	33	and	and	CCONJ
ajis02-1180	336	34	alahakoon	alahakoon	NOUN
ajis02-1180	336	35	,	,	PUNCT
ajis02-1180	336	36	i.	i.	NOUN
ajis02-1180	336	37	2011	2011	NUM
ajis02-1180	336	38	.	.	PUNCT
ajis02-1180	337	1	"	"	PUNCT
ajis02-1180	337	2	analysing	analyse	VERB
ajis02-1180	337	3	stillbirth	stillbirth	NOUN
ajis02-1180	337	4	data	datum	NOUN
ajis02-1180	337	5	using	use	VERB
ajis02-1180	337	6	dynamic	dynamic	ADJ
ajis02-1180	337	7	self	self	NOUN
ajis02-1180	337	8	organizing	organize	VERB
ajis02-1180	337	9	maps	map	NOUN
ajis02-1180	337	10	,	,	PUNCT
ajis02-1180	337	11	"	"	PUNCT
ajis02-1180	337	12	ieee	ieee	NOUN
ajis02-1180	337	13	international	international	ADJ
ajis02-1180	337	14	workshop	workshop	NOUN
ajis02-1180	337	15	on	on	ADP
ajis02-1180	337	16	database	database	NOUN
ajis02-1180	337	17	and	and	CCONJ
ajis02-1180	337	18	expert	expert	NOUN
ajis02-1180	337	19	systems	system	NOUN
ajis02-1180	337	20	applications	application	NOUN
ajis02-1180	337	21	(	(	PUNCT
ajis02-1180	337	22	dexa	dexa	NOUN
ajis02-1180	337	23	)	)	PUNCT
ajis02-1180	337	24	,	,	PUNCT
ajis02-1180	337	25	2011	2011	NUM
ajis02-1180	337	26	22nd	22nd	NOUN
ajis02-1180	337	27	,	,	PUNCT
ajis02-1180	337	28	pp	pp	PROPN
ajis02-1180	337	29	.	.	PUNCT
ajis02-1180	338	1	86	86	NUM
ajis02-1180	338	2	-	-	SYM
ajis02-1180	338	3	90	90	NUM
ajis02-1180	338	4	.	.	PUNCT
ajis02-1180	339	1	matharage	matharage	NOUN
ajis02-1180	339	2	,	,	PUNCT
ajis02-1180	339	3	s.	s.	PROPN
ajis02-1180	339	4	,	,	PUNCT
ajis02-1180	339	5	gunasinghe	gunasinghe	NOUN
ajis02-1180	339	6	,	,	PUNCT
ajis02-1180	339	7	u.	u.	PROPN
ajis02-1180	339	8	,	,	PUNCT
ajis02-1180	339	9	and	and	CCONJ
ajis02-1180	339	10	alahakoon	alahakoon	NOUN
ajis02-1180	339	11	,	,	PUNCT
ajis02-1180	339	12	d.	d.	PROPN
ajis02-1180	339	13	2009	2009	NUM
ajis02-1180	339	14	.	.	PUNCT
ajis02-1180	340	1	"	"	PUNCT
ajis02-1180	340	2	growing	grow	VERB
ajis02-1180	340	3	self	self	NOUN
ajis02-1180	340	4	organizing	organizing	NOUN
ajis02-1180	340	5	map	map	NOUN
ajis02-1180	340	6	with	with	ADP
ajis02-1180	340	7	an	an	DET
ajis02-1180	340	8	imposed	impose	VERB
ajis02-1180	340	9	binary	binary	ADJ
ajis02-1180	340	10	search	search	NOUN
ajis02-1180	340	11	tree	tree	NOUN
ajis02-1180	340	12	for	for	ADP
ajis02-1180	340	13	discovering	discover	VERB
ajis02-1180	340	14	temporal	temporal	ADJ
ajis02-1180	340	15	input	input	NOUN
ajis02-1180	340	16	patterns	pattern	NOUN
ajis02-1180	340	17	,	,	PUNCT
ajis02-1180	340	18	"	"	PUNCT
ajis02-1180	340	19	2009	2009	NUM
ajis02-1180	340	20	ieee	ieee	PROPN
ajis02-1180	340	21	international	international	ADJ
ajis02-1180	340	22	conference	conference	NOUN
ajis02-1180	340	23	on	on	ADP
ajis02-1180	340	24	industrial	industrial	ADJ
ajis02-1180	340	25	and	and	CCONJ
ajis02-1180	340	26	information	information	NOUN
ajis02-1180	340	27	systems	system	NOUN
ajis02-1180	340	28	,	,	PUNCT
ajis02-1180	340	29	pp	pp	ADJ
ajis02-1180	340	30	.	.	PUNCT
ajis02-1180	341	1	222	222	NUM
ajis02-1180	341	2	-	-	SYM
ajis02-1180	341	3	226	226	NUM
ajis02-1180	341	4	.	.	PUNCT
ajis02-1180	342	1	matharage	matharage	NOUN
ajis02-1180	342	2	,	,	PUNCT
ajis02-1180	342	3	s.	s.	PROPN
ajis02-1180	342	4	s.	s.	PROPN
ajis02-1180	342	5	2012	2012	NUM
ajis02-1180	342	6	.	.	PUNCT
ajis02-1180	343	1	an	an	DET
ajis02-1180	343	2	autonomous	autonomous	ADJ
ajis02-1180	343	3	incremental	incremental	ADJ
ajis02-1180	343	4	learning	learning	NOUN
ajis02-1180	343	5	model	model	NOUN
ajis02-1180	343	6	for	for	ADP
ajis02-1180	343	7	efficient	efficient	ADJ
ajis02-1180	343	8	mining	mining	NOUN
ajis02-1180	343	9	of	of	ADP
ajis02-1180	343	10	text	text	NOUN
ajis02-1180	343	11	data	datum	NOUN
ajis02-1180	343	12	.	.	PUNCT
ajis02-1180	344	1	in	in	ADP
ajis02-1180	344	2	:	:	PUNCT
ajis02-1180	344	3	faculty	faculty	NOUN
ajis02-1180	344	4	of	of	ADP
ajis02-1180	344	5	information	information	NOUN
ajis02-1180	344	6	technology	technology	NOUN
ajis02-1180	344	7	.	.	PUNCT
ajis02-1180	345	1	clayton	clayton	PROPN
ajis02-1180	345	2	school	school	PROPN
ajis02-1180	345	3	of	of	ADP
ajis02-1180	345	4	information	information	NOUN
ajis02-1180	345	5	technology	technology	NOUN
ajis02-1180	345	6	.	.	PUNCT
ajis02-1180	346	1	monash	monash	PROPN
ajis02-1180	346	2	university	university	PROPN
ajis02-1180	346	3	.	.	PUNCT
ajis02-1180	347	1	merkl	merkl	NOUN
ajis02-1180	347	2	,	,	PUNCT
ajis02-1180	347	3	d.	d.	NOUN
ajis02-1180	347	4	1998	1998	NUM
ajis02-1180	347	5	.	.	PUNCT
ajis02-1180	348	1	"	"	PUNCT
ajis02-1180	348	2	text	text	VERB
ajis02-1180	348	3	classification	classification	NOUN
ajis02-1180	348	4	with	with	ADP
ajis02-1180	348	5	self	self	NOUN
ajis02-1180	348	6	-	-	PUNCT
ajis02-1180	348	7	organizing	organize	VERB
ajis02-1180	348	8	maps	map	NOUN
ajis02-1180	348	9	:	:	PUNCT
ajis02-1180	348	10	some	some	DET
ajis02-1180	348	11	lessons	lesson	NOUN
ajis02-1180	348	12	learned	learn	VERB
ajis02-1180	348	13	,	,	PUNCT
ajis02-1180	348	14	"	"	PUNCT
ajis02-1180	348	15	neurocomputing	neurocompute	VERB
ajis02-1180	348	16	(	(	PUNCT
ajis02-1180	348	17	21:1–3	21:1–3	NOUN
ajis02-1180	348	18	)	)	PUNCT
ajis02-1180	348	19	,	,	PUNCT
ajis02-1180	348	20	pp	pp	PROPN
ajis02-1180	348	21	.	.	PUNCT
ajis02-1180	349	1	61	61	NUM
ajis02-1180	349	2	-	-	SYM
ajis02-1180	349	3	77	77	NUM
ajis02-1180	349	4	.	.	PUNCT
ajis02-1180	350	1	merkl	merkl	NOUN
ajis02-1180	350	2	,	,	PUNCT
ajis02-1180	350	3	d.	d.	PROPN
ajis02-1180	350	4	,	,	PUNCT
ajis02-1180	350	5	and	and	CCONJ
ajis02-1180	350	6	rauber	rauber	NOUN
ajis02-1180	350	7	,	,	PUNCT
ajis02-1180	350	8	a.	a.	NOUN
ajis02-1180	350	9	1999	1999	NUM
ajis02-1180	350	10	.	.	PUNCT
ajis02-1180	351	1	"	"	PUNCT
ajis02-1180	351	2	uncovering	uncover	VERB
ajis02-1180	351	3	associations	association	NOUN
ajis02-1180	351	4	between	between	ADP
ajis02-1180	351	5	documents	document	NOUN
ajis02-1180	351	6	,	,	PUNCT
ajis02-1180	351	7	"	"	PUNCT
ajis02-1180	351	8	proc	proc	NOUN
ajis02-1180	351	9	.	.	PUNCT
ajis02-1180	352	1	international	international	ADJ
ajis02-1180	352	2	joint	joint	ADJ
ajis02-1180	352	3	conference	conference	NOUN
ajis02-1180	352	4	on	on	ADP
ajis02-1180	352	5	artificial	artificial	ADJ
ajis02-1180	352	6	intelligence	intelligence	NOUN
ajis02-1180	352	7	(	(	PUNCT
ajis02-1180	352	8	ijcai99	ijcai99	NOUN
ajis02-1180	352	9	)	)	PUNCT
ajis02-1180	352	10	.	.	PUNCT
ajis02-1180	353	1	knime	knime	ADJ
ajis02-1180	353	2	:	:	PUNCT
ajis02-1180	353	3	online	online	ADJ
ajis02-1180	353	4	reviews	review	NOUN
ajis02-1180	353	5	vs.	vs.	ADP
ajis02-1180	353	6	social	social	ADJ
ajis02-1180	353	7	media	medium	NOUN
ajis02-1180	353	8	,	,	PUNCT
ajis02-1180	353	9	"	"	PUNCT
ajis02-1180	353	10	2014	2014	NUM
ajis02-1180	353	11	37th	37th	ADJ
ajis02-1180	353	12	international	international	ADJ
ajis02-1180	353	13	convention	convention	NOUN
ajis02-1180	353	14	on	on	ADP
ajis02-1180	353	15	information	information	NOUN
ajis02-1180	353	16	and	and	CCONJ
ajis02-1180	353	17	communication	communication	NOUN
ajis02-1180	353	18	technology	technology	NOUN
ajis02-1180	353	19	,	,	PUNCT
ajis02-1180	353	20	electronics	electronic	NOUN
ajis02-1180	353	21	and	and	CCONJ
ajis02-1180	353	22	microelectronics	microelectronic	NOUN
ajis02-1180	353	23	,	,	PUNCT
ajis02-1180	353	24	mipro	mipro	ADJ
ajis02-1180	353	25	2014	2014	NUM
ajis02-1180	353	26	proceedings	proceeding	NOUN
ajis02-1180	353	27	,	,	PUNCT
ajis02-1180	353	28	pp	pp	ADP
ajis02-1180	353	29	.	.	PUNCT
ajis02-1180	354	1	1464	1464	NUM
ajis02-1180	354	2	-	-	SYM
ajis02-1180	354	3	1468	1468	NUM
ajis02-1180	354	4	.	.	PUNCT
ajis02-1180	355	1	porter	porter	NOUN
ajis02-1180	355	2	,	,	PUNCT
ajis02-1180	355	3	m.	m.	NOUN
ajis02-1180	355	4	f.	f.	PROPN
ajis02-1180	355	5	1980	1980	NUM
ajis02-1180	355	6	.	.	PUNCT
ajis02-1180	356	1	"	"	PUNCT
ajis02-1180	356	2	an	an	DET
ajis02-1180	356	3	algorithm	algorithm	NOUN
ajis02-1180	356	4	for	for	ADP
ajis02-1180	356	5	suffix	suffix	NOUN
ajis02-1180	356	6	stripping	strip	VERB
ajis02-1180	356	7	,	,	PUNCT
ajis02-1180	356	8	"	"	PUNCT
ajis02-1180	356	9	program	program	NOUN
ajis02-1180	356	10	-	-	PUNCT
ajis02-1180	356	11	automated	automate	VERB
ajis02-1180	356	12	library	library	NOUN
ajis02-1180	356	13	and	and	CCONJ
ajis02-1180	356	14	information	information	NOUN
ajis02-1180	356	15	systems	system	NOUN
ajis02-1180	356	16	(	(	PUNCT
ajis02-1180	356	17	14:3	14:3	NUM
ajis02-1180	356	18	)	)	PUNCT
ajis02-1180	356	19	,	,	PUNCT
ajis02-1180	356	20	pp	pp	PROPN
ajis02-1180	356	21	.	.	PUNCT
ajis02-1180	356	22	130	130	NUM
ajis02-1180	356	23	-	-	SYM
ajis02-1180	356	24	137	137	NUM
ajis02-1180	356	25	.	.	PUNCT
ajis02-1180	357	1	salton	salton	PROPN
ajis02-1180	357	2	,	,	PUNCT
ajis02-1180	357	3	g.	g.	PROPN
ajis02-1180	357	4	,	,	PUNCT
ajis02-1180	357	5	wong	wong	PROPN
ajis02-1180	357	6	,	,	PUNCT
ajis02-1180	357	7	a.	a.	PROPN
ajis02-1180	357	8	,	,	PUNCT
ajis02-1180	357	9	and	and	CCONJ
ajis02-1180	357	10	yang	yang	PROPN
ajis02-1180	357	11	,	,	PUNCT
ajis02-1180	357	12	c.	c.	PROPN
ajis02-1180	357	13	s.	s.	PROPN
ajis02-1180	357	14	1975	1975	NUM
ajis02-1180	357	15	.	.	PUNCT
ajis02-1180	358	1	"	"	PUNCT
ajis02-1180	358	2	a	a	DET
ajis02-1180	358	3	vector	vector	NOUN
ajis02-1180	358	4	space	space	NOUN
ajis02-1180	358	5	model	model	NOUN
ajis02-1180	358	6	for	for	ADP
ajis02-1180	358	7	automatic	automatic	ADJ
ajis02-1180	358	8	indexing	indexing	NOUN
ajis02-1180	358	9	,	,	PUNCT
ajis02-1180	358	10	"	"	PUNCT
ajis02-1180	358	11	commun	commun	PROPN
ajis02-1180	358	12	.	.	PUNCT
ajis02-1180	358	13	acm	acm	PROPN
ajis02-1180	358	14	(	(	PUNCT
ajis02-1180	358	15	18:11	18:11	NUM
ajis02-1180	358	16	)	)	PUNCT
ajis02-1180	358	17	,	,	PUNCT
ajis02-1180	358	18	pp	pp	ADP
ajis02-1180	358	19	.	.	PUNCT
ajis02-1180	359	1	613	613	NUM
ajis02-1180	359	2	-	-	PUNCT
ajis02-1180	359	3	620	620	NUM
ajis02-1180	359	4	.	.	PUNCT
ajis02-1180	360	1	schkolnick	schkolnick	PROPN
ajis02-1180	360	2	,	,	PUNCT
ajis02-1180	360	3	m.	m.	NOUN
ajis02-1180	360	4	1977	1977	NUM
ajis02-1180	360	5	.	.	PUNCT
ajis02-1180	361	1	"	"	PUNCT
ajis02-1180	361	2	a	a	DET
ajis02-1180	361	3	clustering	clustering	ADJ
ajis02-1180	361	4	algorithm	algorithm	NOUN
ajis02-1180	361	5	for	for	ADP
ajis02-1180	361	6	hierarchical	hierarchical	ADJ
ajis02-1180	361	7	structures	structure	NOUN
ajis02-1180	361	8	,	,	PUNCT
ajis02-1180	361	9	"	"	PUNCT
ajis02-1180	361	10	acm	acm	PROPN
ajis02-1180	361	11	trans	trans	PROPN
ajis02-1180	361	12	.	.	PUNCT
ajis02-1180	362	1	database	database	PROPN
ajis02-1180	362	2	syst	syst	PROPN
ajis02-1180	362	3	.	.	PUNCT
ajis02-1180	363	1	(	(	PUNCT
ajis02-1180	363	2	2:1	2:1	NUM
ajis02-1180	363	3	)	)	PUNCT
ajis02-1180	363	4	,	,	PUNCT
ajis02-1180	363	5	pp	pp	PROPN
ajis02-1180	363	6	.	.	PUNCT
ajis02-1180	364	1	27	27	NUM
ajis02-1180	364	2	-	-	SYM
ajis02-1180	364	3	44	44	NUM
ajis02-1180	364	4	.	.	PUNCT
ajis02-1180	365	1	sinka	sinka	NOUN
ajis02-1180	365	2	,	,	PUNCT
ajis02-1180	365	3	m.	m.	NOUN
ajis02-1180	365	4	p.	p.	PROPN
ajis02-1180	365	5	,	,	PUNCT
ajis02-1180	365	6	and	and	CCONJ
ajis02-1180	365	7	corne	corne	VERB
ajis02-1180	365	8	,	,	PUNCT
ajis02-1180	365	9	d.	d.	PROPN
ajis02-1180	365	10	w.	w.	PROPN
ajis02-1180	365	11	2005	2005	NUM
ajis02-1180	365	12	.	.	PUNCT
ajis02-1180	366	1	"	"	PUNCT
ajis02-1180	366	2	the	the	DET
ajis02-1180	366	3	banksearch	banksearch	NOUN
ajis02-1180	366	4	web	web	NOUN
ajis02-1180	366	5	document	document	NOUN
ajis02-1180	366	6	dataset	dataset	NOUN
ajis02-1180	366	7	:	:	PUNCT
ajis02-1180	366	8	investigating	investigate	VERB
ajis02-1180	366	9	unsupervised	unsupervised	ADJ
ajis02-1180	366	10	clustering	clustering	NOUN
ajis02-1180	366	11	and	and	CCONJ
ajis02-1180	366	12	category	category	NOUN
ajis02-1180	366	13	similarity	similarity	NOUN
ajis02-1180	366	14	,	,	PUNCT
ajis02-1180	366	15	"	"	PUNCT
ajis02-1180	366	16	journal	journal	NOUN
ajis02-1180	366	17	of	of	ADP
ajis02-1180	366	18	network	network	NOUN
ajis02-1180	366	19	and	and	CCONJ
ajis02-1180	366	20	computer	computer	NOUN
ajis02-1180	366	21	applications	application	NOUN
ajis02-1180	366	22	(	(	PUNCT
ajis02-1180	366	23	28:2	28:2	NUM
ajis02-1180	366	24	)	)	PUNCT
ajis02-1180	366	25	,	,	PUNCT
ajis02-1180	366	26	pp	pp	ADP
ajis02-1180	366	27	.	.	PUNCT
ajis02-1180	367	1	129	129	NUM
ajis02-1180	367	2	-	-	SYM
ajis02-1180	367	3	146	146	NUM
ajis02-1180	367	4	.	.	PUNCT
ajis02-1180	368	1	vesanto	vesanto	ADP
ajis02-1180	368	2	,	,	PUNCT
ajis02-1180	368	3	j.	j.	PROPN
ajis02-1180	368	4	,	,	PUNCT
ajis02-1180	368	5	and	and	CCONJ
ajis02-1180	368	6	alhoniemi	alhoniemi	ADV
ajis02-1180	368	7	,	,	PUNCT
ajis02-1180	368	8	e.	e.	PROPN
ajis02-1180	368	9	2000	2000	NUM
ajis02-1180	368	10	.	.	PUNCT
ajis02-1180	369	1	"	"	PUNCT
ajis02-1180	369	2	clustering	clustering	NOUN
ajis02-1180	369	3	of	of	ADP
ajis02-1180	369	4	the	the	DET
ajis02-1180	369	5	self	self	NOUN
ajis02-1180	369	6	-	-	PUNCT
ajis02-1180	369	7	organizing	organize	VERB
ajis02-1180	369	8	map	map	NOUN
ajis02-1180	369	9	,	,	PUNCT
ajis02-1180	369	10	"	"	PUNCT
ajis02-1180	369	11	ieee	ieee	NOUN
ajis02-1180	369	12	transactions	transaction	NOUN
ajis02-1180	369	13	on	on	ADP
ajis02-1180	369	14	neural	neural	ADJ
ajis02-1180	369	15	networks	network	NOUN
ajis02-1180	369	16	,	,	PUNCT
ajis02-1180	369	17	(	(	PUNCT
ajis02-1180	369	18	11:3	11:3	NUM
ajis02-1180	369	19	)	)	PUNCT
ajis02-1180	369	20	,	,	PUNCT
ajis02-1180	369	21	pp	pp	ADP
ajis02-1180	369	22	.	.	PUNCT
ajis02-1180	370	1	586	586	NUM
ajis02-1180	370	2	-	-	SYM
ajis02-1180	370	3	600	600	NUM
ajis02-1180	370	4	.	.	PUNCT
ajis02-1180	371	1	copyright	copyright	NOUN
ajis02-1180	371	2	:	:	PUNCT
ajis02-1180	371	3	©	©	PROPN
ajis02-1180	371	4	2015	2015	NUM
ajis02-1180	371	5	nathawitharana	nathawitharana	PROPN
ajis02-1180	371	6	,	,	PUNCT
ajis02-1180	371	7	alahakoon	alahakoon	PROPN
ajis02-1180	371	8	&	&	CCONJ
ajis02-1180	371	9	matharage	matharage	NOUN
ajis02-1180	371	10	.	.	PUNCT
ajis02-1180	372	1	this	this	PRON
ajis02-1180	372	2	is	be	AUX
ajis02-1180	372	3	an	an	DET
ajis02-1180	372	4	open	open	ADJ
ajis02-1180	372	5	-	-	PUNCT
ajis02-1180	372	6	access	access	NOUN
ajis02-1180	372	7	article	article	NOUN
ajis02-1180	372	8	distributed	distribute	VERB
ajis02-1180	372	9	under	under	ADP
ajis02-1180	372	10	the	the	DET
ajis02-1180	372	11	terms	term	NOUN
ajis02-1180	372	12	of	of	ADP
ajis02-1180	372	13	the	the	DET
ajis02-1180	372	14	creative	creative	ADJ
ajis02-1180	372	15	commons	common	NOUN
ajis02-1180	372	16	attribution	attribution	NOUN
ajis02-1180	372	17	-	-	PUNCT
ajis02-1180	372	18	noncommercial	noncommercial	ADJ
ajis02-1180	372	19	3.0	3.0	NUM
ajis02-1180	372	20	australia	australia	NOUN
ajis02-1180	372	21	license	license	NOUN
ajis02-1180	372	22	,	,	PUNCT
ajis02-1180	372	23	which	which	PRON
ajis02-1180	372	24	permits	permit	VERB
ajis02-1180	372	25	non	non	ADJ
ajis02-1180	372	26	-	-	ADJ
ajis02-1180	372	27	commercial	commercial	ADJ
ajis02-1180	372	28	use	use	NOUN
ajis02-1180	372	29	,	,	PUNCT
ajis02-1180	372	30	distribution	distribution	NOUN
ajis02-1180	372	31	,	,	PUNCT
ajis02-1180	372	32	and	and	CCONJ
ajis02-1180	372	33	reproduction	reproduction	NOUN
ajis02-1180	372	34	in	in	ADP
ajis02-1180	372	35	any	any	DET
ajis02-1180	372	36	medium	medium	NOUN
ajis02-1180	372	37	,	,	PUNCT
ajis02-1180	372	38	provided	provide	VERB
ajis02-1180	372	39	the	the	DET
ajis02-1180	372	40	original	original	ADJ
ajis02-1180	372	41	author	author	NOUN
ajis02-1180	372	42	and	and	CCONJ
ajis02-1180	372	43	ajis	ajis	ADV
ajis02-1180	372	44	are	be	AUX
ajis02-1180	372	45	credited	credit	VERB
ajis02-1180	372	46	.	.	PUNCT
ajis02-1180	373	1	s74	s74	VERB
ajis02-1180	373	2	australasian	australasian	ADJ
ajis02-1180	373	3	journal	journal	NOUN
ajis02-1180	373	4	of	of	ADP
ajis02-1180	373	5	information	information	NOUN
ajis02-1180	373	6	systems	system	NOUN
ajis02-1180	373	7	nathawitharana	nathawitharana	PROPN
ajis02-1180	373	8	,	,	PUNCT
ajis02-1180	373	9	alahakoon	alahakoon	PROPN
ajis02-1180	373	10	&	&	CCONJ
ajis02-1180	373	11	matharage	matharage	NOUN
ajis02-1180	373	12	2015	2015	NUM
ajis02-1180	373	13	,	,	PUNCT
ajis02-1180	373	14	vol	vol	NOUN
ajis02-1180	373	15	.	.	PROPN
ajis02-1180	373	16	19	19	NUM
ajis02-1180	373	17	,	,	PUNCT
ajis02-1180	373	18	pp	pp	PROPN
ajis02-1180	373	19	.	.	PUNCT
ajis02-1180	374	1	s55	s55	PROPN
ajis02-1180	374	2	-	-	PUNCT
ajis02-1180	374	3	s75	s75	NOUN
ajis02-1180	374	4	improving	improve	VERB
ajis02-1180	374	5	decision	decision	NOUN
ajis02-1180	374	6	value	value	NOUN
ajis02-1180	374	7	of	of	ADP
ajis02-1180	374	8	hierarchical	hierarchical	ADJ
ajis02-1180	374	9	text	text	NOUN
ajis02-1180	374	10	s75	s75	NOUN