id	sid	tid	token	lemma	pos
ajst-19204	1	1	academic	academic	ADJ
ajst-19204	1	2	journal	journal	NOUN
ajst-19204	1	3	of	of	ADP
ajst-19204	1	4	science	science	NOUN
ajst-19204	1	5	and	and	CCONJ
ajst-19204	1	6	technology	technology	NOUN
ajst-19204	1	7	issn	issn	NOUN
ajst-19204	1	8	:	:	PUNCT
ajst-19204	1	9	2771	2771	NUM
ajst-19204	1	10	-	-	SYM
ajst-19204	1	11	3032	3032	NUM
ajst-19204	1	12	|	|	NOUN
ajst-19204	1	13	vol	vol	NOUN
ajst-19204	1	14	.	.	PROPN
ajst-19204	2	1	10	10	NUM
ajst-19204	2	2	,	,	PUNCT
ajst-19204	2	3	no	no	INTJ
ajst-19204	2	4	.	.	NOUN
ajst-19204	2	5	1	1	NUM
ajst-19204	2	6	,	,	PUNCT
ajst-19204	2	7	2024	2024	NUM
ajst-19204	2	8	290	290	NUM
ajst-19204	2	9	research	research	NOUN
ajst-19204	2	10	on	on	ADP
ajst-19204	2	11	finance	finance	NOUN
ajst-19204	2	12	credit	credit	NOUN
ajst-19204	2	13	risk	risk	NOUN
ajst-19204	2	14	quantification	quantification	NOUN
ajst-19204	2	15	model	model	NOUN
ajst-19204	2	16	based	base	VERB
ajst-19204	2	17	on	on	ADP
ajst-19204	2	18	machine	machine	NOUN
ajst-19204	2	19	learning	learn	VERB
ajst-19204	2	20	algorithm	algorithm	PROPN
ajst-19204	2	21	junliang	junliang	PROPN
ajst-19204	2	22	wang1	wang1	PROPN
ajst-19204	2	23	,	,	PUNCT
ajst-19204	2	24	*	*	PUNCT
ajst-19204	2	25	,	,	PUNCT
ajst-19204	2	26	jiahao	jiahao	ADJ
ajst-19204	2	27	xu2	xu2	PROPN
ajst-19204	2	28	,	,	PUNCT
ajst-19204	2	29	qishuo	qishuo	PROPN
ajst-19204	2	30	cheng3	cheng3	PROPN
ajst-19204	2	31	,	,	PUNCT
ajst-19204	2	32	rathna	rathna	VERB
ajst-19204	2	33	kumar4	kumar4	PROPN
ajst-19204	2	34	1	1	NUM
ajst-19204	2	35	international	international	ADJ
ajst-19204	2	36	economics	economic	NOUN
ajst-19204	2	37	and	and	CCONJ
ajst-19204	2	38	international	international	ADJ
ajst-19204	2	39	political	political	ADJ
ajst-19204	2	40	economy	economy	NOUN
ajst-19204	2	41	,	,	PUNCT
ajst-19204	2	42	johns	johns	PROPN
ajst-19204	2	43	hopkins	hopkins	PROPN
ajst-19204	2	44	university	university	PROPN
ajst-19204	2	45	,	,	PUNCT
ajst-19204	2	46	dc	dc	PROPN
ajst-19204	2	47	,	,	PUNCT
ajst-19204	2	48	20001	20001	NUM
ajst-19204	2	49	,	,	PUNCT
ajst-19204	2	50	usa	usa	PROPN
ajst-19204	2	51	2	2	NUM
ajst-19204	2	52	master	master	NOUN
ajst-19204	2	53	of	of	ADP
ajst-19204	2	54	science	science	NOUN
ajst-19204	2	55	in	in	ADP
ajst-19204	2	56	financial	financial	ADJ
ajst-19204	2	57	engineering	engineering	NOUN
ajst-19204	2	58	,	,	PUNCT
ajst-19204	2	59	university	university	NOUN
ajst-19204	2	60	of	of	ADP
ajst-19204	2	61	southern	southern	PROPN
ajst-19204	2	62	california	california	PROPN
ajst-19204	2	63	,	,	PUNCT
ajst-19204	2	64	ca	ca	PROPN
ajst-19204	2	65	,	,	PUNCT
ajst-19204	2	66	usa	usa	PROPN
ajst-19204	2	67	3	3	NUM
ajst-19204	2	68	statistics	statistic	NOUN
ajst-19204	2	69	,	,	PUNCT
ajst-19204	2	70	north	north	PROPN
ajst-19204	2	71	carolina	carolina	PROPN
ajst-19204	2	72	state	state	PROPN
ajst-19204	2	73	university	university	PROPN
ajst-19204	2	74	,	,	PUNCT
ajst-19204	2	75	nc	nc	PROPN
ajst-19204	2	76	,	,	PUNCT
ajst-19204	2	77	usa	usa	PROPN
ajst-19204	2	78	4	4	NUM
ajst-19204	2	79	business	business	NOUN
ajst-19204	2	80	information	information	NOUN
ajst-19204	2	81	technology	technology	NOUN
ajst-19204	2	82	,	,	PUNCT
ajst-19204	2	83	melbourne	melbourne	PROPN
ajst-19204	2	84	,	,	PUNCT
ajst-19204	2	85	australia	australia	PROPN
ajst-19204	2	86	*	*	PUNCT
ajst-19204	2	87	corresponding	correspond	VERB
ajst-19204	2	88	author	author	NOUN
ajst-19204	2	89	:	:	PUNCT
ajst-19204	2	90	junliang	junliang	PROPN
ajst-19204	2	91	wang	wang	PROPN
ajst-19204	2	92	(	(	PUNCT
ajst-19204	2	93	e	e	NOUN
ajst-19204	2	94	-	-	NOUN
ajst-19204	2	95	mail	mail	NOUN
ajst-19204	2	96	:	:	PUNCT
ajst-19204	2	97	jwang386@alumni.jh.edu	jwang386@alumni.jh.edu	X
ajst-19204	2	98	)	)	PUNCT
ajst-19204	2	99	abstract	abstract	NOUN
ajst-19204	2	100	:	:	PUNCT
ajst-19204	2	101	machine	machine	NOUN
ajst-19204	2	102	learning	learning	NOUN
ajst-19204	2	103	is	be	AUX
ajst-19204	2	104	a	a	DET
ajst-19204	2	105	branch	branch	NOUN
ajst-19204	2	106	of	of	ADP
ajst-19204	2	107	artificial	artificial	ADJ
ajst-19204	2	108	intelligence	intelligence	NOUN
ajst-19204	2	109	(	(	PUNCT
ajst-19204	2	110	ai	ai	NOUN
ajst-19204	2	111	)	)	PUNCT
ajst-19204	2	112	technology	technology	NOUN
ajst-19204	2	113	that	that	PRON
ajst-19204	2	114	enables	enable	VERB
ajst-19204	2	115	systems	system	NOUN
ajst-19204	2	116	to	to	PART
ajst-19204	2	117	learn	learn	VERB
ajst-19204	2	118	and	and	CCONJ
ajst-19204	2	119	make	make	VERB
ajst-19204	2	120	predictions	prediction	NOUN
ajst-19204	2	121	and	and	CCONJ
ajst-19204	2	122	decisions	decision	NOUN
ajst-19204	2	123	without	without	ADP
ajst-19204	2	124	the	the	DET
ajst-19204	2	125	need	need	NOUN
ajst-19204	2	126	for	for	ADP
ajst-19204	2	127	explicit	explicit	ADJ
ajst-19204	2	128	programming	programming	NOUN
ajst-19204	2	129	.	.	PUNCT
ajst-19204	3	1	machine	machine	NOUN
ajst-19204	3	2	learning	learn	VERB
ajst-19204	3	3	algorithms	algorithm	NOUN
ajst-19204	3	4	learn	learn	VERB
ajst-19204	3	5	patterns	pattern	NOUN
ajst-19204	3	6	and	and	CCONJ
ajst-19204	3	7	relationships	relationship	NOUN
ajst-19204	3	8	from	from	ADP
ajst-19204	3	9	data	datum	NOUN
ajst-19204	3	10	and	and	CCONJ
ajst-19204	3	11	are	be	AUX
ajst-19204	3	12	able	able	ADJ
ajst-19204	3	13	to	to	PART
ajst-19204	3	14	gradually	gradually	ADV
ajst-19204	3	15	improve	improve	VERB
ajst-19204	3	16	their	their	PRON
ajst-19204	3	17	accuracy.this	accuracy.this	DET
ajst-19204	3	18	paper	paper	NOUN
ajst-19204	3	19	mainly	mainly	ADV
ajst-19204	3	20	introduces	introduce	VERB
ajst-19204	3	21	the	the	DET
ajst-19204	3	22	application	application	NOUN
ajst-19204	3	23	of	of	ADP
ajst-19204	3	24	deep	deep	ADJ
ajst-19204	3	25	learning	learning	NOUN
ajst-19204	3	26	in	in	ADP
ajst-19204	3	27	financial	financial	ADJ
ajst-19204	3	28	academia	academia	NOUN
ajst-19204	3	29	and	and	CCONJ
ajst-19204	3	30	the	the	DET
ajst-19204	3	31	financial	financial	ADJ
ajst-19204	3	32	industry	industry	NOUN
ajst-19204	3	33	,	,	PUNCT
ajst-19204	3	34	with	with	ADP
ajst-19204	3	35	a	a	DET
ajst-19204	3	36	particular	particular	ADJ
ajst-19204	3	37	focus	focus	NOUN
ajst-19204	3	38	on	on	ADP
ajst-19204	3	39	the	the	DET
ajst-19204	3	40	application	application	NOUN
ajst-19204	3	41	of	of	ADP
ajst-19204	3	42	machine	machine	NOUN
ajst-19204	3	43	learning	learning	NOUN
ajst-19204	3	44	and	and	CCONJ
ajst-19204	3	45	deep	deep	ADJ
ajst-19204	3	46	learning	learning	NOUN
ajst-19204	3	47	in	in	ADP
ajst-19204	3	48	financial	financial	ADJ
ajst-19204	3	49	quantitative	quantitative	ADJ
ajst-19204	3	50	trading	trading	NOUN
ajst-19204	3	51	.	.	PUNCT
ajst-19204	4	1	the	the	DET
ajst-19204	4	2	paper	paper	NOUN
ajst-19204	4	3	mentions	mention	VERB
ajst-19204	4	4	the	the	DET
ajst-19204	4	5	complexity	complexity	NOUN
ajst-19204	4	6	and	and	CCONJ
ajst-19204	4	7	challenges	challenge	NOUN
ajst-19204	4	8	of	of	ADP
ajst-19204	4	9	financial	financial	ADJ
ajst-19204	4	10	markets	market	NOUN
ajst-19204	4	11	and	and	CCONJ
ajst-19204	4	12	the	the	DET
ajst-19204	4	13	difficulties	difficulty	NOUN
ajst-19204	4	14	machine	machine	NOUN
ajst-19204	4	15	learning	learn	VERB
ajst-19204	4	16	faces	face	NOUN
ajst-19204	4	17	in	in	ADP
ajst-19204	4	18	processing	process	VERB
ajst-19204	4	19	financial	financial	ADJ
ajst-19204	4	20	time	time	NOUN
ajst-19204	4	21	series	series	PROPN
ajst-19204	4	22	data	data	PROPN
ajst-19204	4	23	,	,	PUNCT
ajst-19204	4	24	such	such	ADJ
ajst-19204	4	25	as	as	ADP
ajst-19204	4	26	overfitting	overfitte	VERB
ajst-19204	4	27	,	,	PUNCT
ajst-19204	4	28	non	non	ADJ
ajst-19204	4	29	-	-	NOUN
ajst-19204	4	30	stationarity	stationarity	NOUN
ajst-19204	4	31	,	,	PUNCT
ajst-19204	4	32	heteroscedasticity	heteroscedasticity	NOUN
ajst-19204	4	33	and	and	CCONJ
ajst-19204	4	34	autocorrelation	autocorrelation	NOUN
ajst-19204	4	35	.	.	PUNCT
ajst-19204	5	1	to	to	PART
ajst-19204	5	2	overcome	overcome	VERB
ajst-19204	5	3	these	these	DET
ajst-19204	5	4	challenges	challenge	NOUN
ajst-19204	5	5	,	,	PUNCT
ajst-19204	5	6	the	the	DET
ajst-19204	5	7	paper	paper	NOUN
ajst-19204	5	8	explores	explore	VERB
ajst-19204	5	9	machine	machine	NOUN
ajst-19204	5	10	learning	learn	VERB
ajst-19204	5	11	model	model	NOUN
ajst-19204	5	12	design	design	NOUN
ajst-19204	5	13	in	in	ADP
ajst-19204	5	14	financial	financial	ADJ
ajst-19204	5	15	quantitative	quantitative	ADJ
ajst-19204	5	16	trading	trading	NOUN
ajst-19204	5	17	and	and	CCONJ
ajst-19204	5	18	risk	risk	NOUN
ajst-19204	5	19	prediction	prediction	NOUN
ajst-19204	5	20	,	,	PUNCT
ajst-19204	5	21	including	include	VERB
ajst-19204	5	22	data	datum	NOUN
ajst-19204	5	23	transformation	transformation	NOUN
ajst-19204	5	24	and	and	CCONJ
ajst-19204	5	25	model	model	NOUN
ajst-19204	5	26	construction	construction	NOUN
ajst-19204	5	27	.	.	PUNCT
ajst-19204	6	1	in	in	ADP
ajst-19204	6	2	the	the	DET
ajst-19204	6	3	related	relate	VERB
ajst-19204	6	4	work	work	NOUN
ajst-19204	6	5	part	part	NOUN
ajst-19204	6	6	,	,	PUNCT
ajst-19204	6	7	it	it	PRON
ajst-19204	6	8	introduces	introduce	VERB
ajst-19204	6	9	the	the	DET
ajst-19204	6	10	history	history	NOUN
ajst-19204	6	11	and	and	CCONJ
ajst-19204	6	12	development	development	NOUN
ajst-19204	6	13	of	of	ADP
ajst-19204	6	14	quantitative	quantitative	ADJ
ajst-19204	6	15	investment	investment	NOUN
ajst-19204	6	16	,	,	PUNCT
ajst-19204	6	17	as	as	ADV
ajst-19204	6	18	well	well	ADV
ajst-19204	6	19	as	as	ADP
ajst-19204	6	20	the	the	DET
ajst-19204	6	21	application	application	NOUN
ajst-19204	6	22	of	of	ADP
ajst-19204	6	23	quantitative	quantitative	ADJ
ajst-19204	6	24	investment	investment	NOUN
ajst-19204	6	25	,	,	PUNCT
ajst-19204	6	26	such	such	ADJ
ajst-19204	6	27	as	as	ADP
ajst-19204	6	28	high	high	ADJ
ajst-19204	6	29	-	-	PUNCT
ajst-19204	6	30	frequency	frequency	NOUN
ajst-19204	6	31	trading	trading	NOUN
ajst-19204	6	32	,	,	PUNCT
ajst-19204	6	33	arbitrage	arbitrage	NOUN
ajst-19204	6	34	strategy	strategy	NOUN
ajst-19204	6	35	and	and	CCONJ
ajst-19204	6	36	commodity	commodity	NOUN
ajst-19204	6	37	trading	trading	NOUN
ajst-19204	6	38	advisory	advisory	ADJ
ajst-19204	6	39	strategy	strategy	NOUN
ajst-19204	6	40	.	.	PUNCT
ajst-19204	7	1	it	it	PRON
ajst-19204	7	2	then	then	ADV
ajst-19204	7	3	focuses	focus	VERB
ajst-19204	7	4	on	on	ADP
ajst-19204	7	5	the	the	DET
ajst-19204	7	6	application	application	NOUN
ajst-19204	7	7	of	of	ADP
ajst-19204	7	8	machine	machine	NOUN
ajst-19204	7	9	learning	learn	VERB
ajst-19204	7	10	in	in	ADP
ajst-19204	7	11	financial	financial	ADJ
ajst-19204	7	12	quantification	quantification	NOUN
ajst-19204	7	13	,	,	PUNCT
ajst-19204	7	14	including	include	VERB
ajst-19204	7	15	the	the	DET
ajst-19204	7	16	use	use	NOUN
ajst-19204	7	17	of	of	ADP
ajst-19204	7	18	supervised	supervised	ADJ
ajst-19204	7	19	and	and	CCONJ
ajst-19204	7	20	unsupervised	unsupervised	ADJ
ajst-19204	7	21	learning	learning	NOUN
ajst-19204	7	22	in	in	ADP
ajst-19204	7	23	stock	stock	NOUN
ajst-19204	7	24	price	price	NOUN
ajst-19204	7	25	forecasting	forecasting	NOUN
ajst-19204	7	26	and	and	CCONJ
ajst-19204	7	27	trading	trading	NOUN
ajst-19204	7	28	strategy	strategy	NOUN
ajst-19204	7	29	generation	generation	NOUN
ajst-19204	7	30	.	.	PUNCT
ajst-19204	8	1	the	the	DET
ajst-19204	8	2	paper	paper	NOUN
ajst-19204	8	3	also	also	ADV
ajst-19204	8	4	compares	compare	VERB
ajst-19204	8	5	traditional	traditional	ADJ
ajst-19204	8	6	quantitative	quantitative	ADJ
ajst-19204	8	7	strategies	strategy	NOUN
ajst-19204	8	8	with	with	ADP
ajst-19204	8	9	machine	machine	NOUN
ajst-19204	8	10	learning	learning	NOUN
ajst-19204	8	11	strategies	strategy	NOUN
ajst-19204	8	12	and	and	CCONJ
ajst-19204	8	13	discusses	discuss	VERB
ajst-19204	8	14	the	the	DET
ajst-19204	8	15	advantages	advantage	NOUN
ajst-19204	8	16	of	of	ADP
ajst-19204	8	17	machine	machine	NOUN
ajst-19204	8	18	learning	learning	NOUN
ajst-19204	8	19	in	in	ADP
ajst-19204	8	20	solving	solve	VERB
ajst-19204	8	21	high	high	ADJ
ajst-19204	8	22	-	-	PUNCT
ajst-19204	8	23	dimensional	dimensional	ADJ
ajst-19204	8	24	and	and	CCONJ
ajst-19204	8	25	non	non	ADJ
ajst-19204	8	26	-	-	ADJ
ajst-19204	8	27	linear	linear	ADJ
ajst-19204	8	28	problems	problem	NOUN
ajst-19204	8	29	.	.	PUNCT
ajst-19204	9	1	the	the	DET
ajst-19204	9	2	methodology	methodology	NOUN
ajst-19204	9	3	section	section	NOUN
ajst-19204	9	4	introduces	introduce	VERB
ajst-19204	9	5	the	the	DET
ajst-19204	9	6	application	application	NOUN
ajst-19204	9	7	of	of	ADP
ajst-19204	9	8	the	the	DET
ajst-19204	9	9	random	random	ADJ
ajst-19204	9	10	forest	forest	NOUN
ajst-19204	9	11	model	model	NOUN
ajst-19204	9	12	in	in	ADP
ajst-19204	9	13	financial	financial	ADJ
ajst-19204	9	14	quantification	quantification	NOUN
ajst-19204	9	15	,	,	PUNCT
ajst-19204	9	16	including	include	VERB
ajst-19204	9	17	the	the	DET
ajst-19204	9	18	model	model	NOUN
ajst-19204	9	19	principle	principle	NOUN
ajst-19204	9	20	,	,	PUNCT
ajst-19204	9	21	feature	feature	NOUN
ajst-19204	9	22	importance	importance	NOUN
ajst-19204	9	23	calculation	calculation	NOUN
ajst-19204	9	24	and	and	CCONJ
ajst-19204	9	25	experimental	experimental	ADJ
ajst-19204	9	26	design	design	NOUN
ajst-19204	9	27	.	.	PUNCT
ajst-19204	10	1	through	through	ADP
ajst-19204	10	2	the	the	DET
ajst-19204	10	3	pre	pre	NOUN
ajst-19204	10	4	-	-	ADJ
ajst-19204	10	5	processing	processing	ADJ
ajst-19204	10	6	,	,	PUNCT
ajst-19204	10	7	feature	feature	NOUN
ajst-19204	10	8	selection	selection	NOUN
ajst-19204	10	9	and	and	CCONJ
ajst-19204	10	10	model	model	NOUN
ajst-19204	10	11	construction	construction	NOUN
ajst-19204	10	12	of	of	ADP
ajst-19204	10	13	the	the	DET
ajst-19204	10	14	credit	credit	NOUN
ajst-19204	10	15	risk	risk	NOUN
ajst-19204	10	16	prediction	prediction	NOUN
ajst-19204	10	17	dataset	dataset	NOUN
ajst-19204	10	18	,	,	PUNCT
ajst-19204	10	19	the	the	DET
ajst-19204	10	20	construction	construction	NOUN
ajst-19204	10	21	and	and	CCONJ
ajst-19204	10	22	evaluation	evaluation	NOUN
ajst-19204	10	23	process	process	NOUN
ajst-19204	10	24	of	of	ADP
ajst-19204	10	25	the	the	DET
ajst-19204	10	26	random	random	ADJ
ajst-19204	10	27	forest	forest	NOUN
ajst-19204	10	28	model	model	NOUN
ajst-19204	10	29	is	be	AUX
ajst-19204	10	30	demonstrated	demonstrate	VERB
ajst-19204	10	31	.	.	PUNCT
ajst-19204	11	1	finally	finally	ADV
ajst-19204	11	2	,	,	PUNCT
ajst-19204	11	3	the	the	DET
ajst-19204	11	4	performance	performance	NOUN
ajst-19204	11	5	of	of	ADP
ajst-19204	11	6	the	the	DET
ajst-19204	11	7	random	random	ADJ
ajst-19204	11	8	forest	forest	NOUN
ajst-19204	11	9	model	model	NOUN
ajst-19204	11	10	is	be	AUX
ajst-19204	11	11	evaluated	evaluate	VERB
ajst-19204	11	12	and	and	CCONJ
ajst-19204	11	13	compared	compare	VERB
ajst-19204	11	14	with	with	ADP
ajst-19204	11	15	other	other	ADJ
ajst-19204	11	16	models	model	NOUN
ajst-19204	11	17	to	to	PART
ajst-19204	11	18	demonstrate	demonstrate	VERB
ajst-19204	11	19	its	its	PRON
ajst-19204	11	20	advantages	advantage	NOUN
ajst-19204	11	21	and	and	CCONJ
ajst-19204	11	22	applicability	applicability	NOUN
ajst-19204	11	23	in	in	ADP
ajst-19204	11	24	financial	financial	ADJ
ajst-19204	11	25	quantification	quantification	NOUN
ajst-19204	11	26	.	.	PUNCT
ajst-19204	12	1	keywords	keyword	NOUN
ajst-19204	12	2	:	:	PUNCT
ajst-19204	12	3	machine	machine	NOUN
ajst-19204	12	4	learning	learning	NOUN
ajst-19204	12	5	algorithm	algorithm	NOUN
ajst-19204	12	6	;	;	PUNCT
ajst-19204	12	7	financial	financial	ADJ
ajst-19204	12	8	quantitative	quantitative	ADJ
ajst-19204	12	9	trading	trading	NOUN
ajst-19204	12	10	;	;	PUNCT
ajst-19204	12	11	deep	deep	ADJ
ajst-19204	12	12	learning	learning	NOUN
ajst-19204	12	13	;	;	PUNCT
ajst-19204	12	14	credit	credit	NOUN
ajst-19204	12	15	risk	risk	NOUN
ajst-19204	12	16	quantification	quantification	NOUN
ajst-19204	12	17	model	model	NOUN
ajst-19204	12	18	.	.	PUNCT
ajst-19204	13	1	1	1	X
ajst-19204	13	2	.	.	X
ajst-19204	13	3	introduction	introduction	NOUN
ajst-19204	13	4	with	with	ADP
ajst-19204	13	5	the	the	DET
ajst-19204	13	6	rapid	rapid	ADJ
ajst-19204	13	7	development	development	NOUN
ajst-19204	13	8	of	of	ADP
ajst-19204	13	9	cloud	cloud	PROPN
ajst-19204	13	10	computing	computing	NOUN
ajst-19204	13	11	,	,	PUNCT
ajst-19204	13	12	artificial	artificial	ADJ
ajst-19204	13	13	intelligence	intelligence	NOUN
ajst-19204	13	14	and	and	CCONJ
ajst-19204	13	15	other	other	ADJ
ajst-19204	13	16	technologies	technology	NOUN
ajst-19204	13	17	,	,	PUNCT
ajst-19204	13	18	deep	deep	ADJ
ajst-19204	13	19	learning	learning	NOUN
ajst-19204	13	20	has	have	AUX
ajst-19204	13	21	developed	develop	VERB
ajst-19204	13	22	rapidly	rapidly	ADV
ajst-19204	13	23	.	.	PUNCT
ajst-19204	14	1	neural	neural	ADJ
ajst-19204	14	2	network	network	NOUN
ajst-19204	14	3	models	model	NOUN
ajst-19204	14	4	are	be	AUX
ajst-19204	14	5	no	no	ADV
ajst-19204	14	6	longer	long	ADV
ajst-19204	14	7	limited	limit	VERB
ajst-19204	14	8	to	to	ADP
ajst-19204	14	9	shallow	shallow	ADJ
ajst-19204	14	10	networks	network	NOUN
ajst-19204	14	11	,	,	PUNCT
ajst-19204	14	12	but	but	CCONJ
ajst-19204	14	13	can	can	AUX
ajst-19204	14	14	be	be	AUX
ajst-19204	14	15	trained	train	VERB
ajst-19204	14	16	with	with	ADP
ajst-19204	14	17	multilayer	multilayer	ADJ
ajst-19204	14	18	neural	neural	ADJ
ajst-19204	14	19	networks	network	NOUN
ajst-19204	14	20	to	to	PART
ajst-19204	14	21	achieve	achieve	VERB
ajst-19204	14	22	better	well	ADJ
ajst-19204	14	23	results	result	NOUN
ajst-19204	14	24	.	.	PUNCT
ajst-19204	15	1	at	at	ADP
ajst-19204	15	2	the	the	DET
ajst-19204	15	3	same	same	ADJ
ajst-19204	15	4	time	time	NOUN
ajst-19204	15	5	,	,	PUNCT
ajst-19204	15	6	the	the	DET
ajst-19204	15	7	use	use	NOUN
ajst-19204	15	8	of	of	ADP
ajst-19204	15	9	large	large	ADJ
ajst-19204	15	10	-	-	PUNCT
ajst-19204	15	11	scale	scale	NOUN
ajst-19204	15	12	data	datum	NOUN
ajst-19204	15	13	has	have	AUX
ajst-19204	15	14	become	become	VERB
ajst-19204	15	15	a	a	DET
ajst-19204	15	16	key	key	ADJ
ajst-19204	15	17	factor	factor	NOUN
ajst-19204	15	18	in	in	ADP
ajst-19204	15	19	deep	deep	ADJ
ajst-19204	15	20	learning	learning	NOUN
ajst-19204	15	21	.	.	PUNCT
ajst-19204	16	1	deep	deep	ADJ
ajst-19204	16	2	learning	learning	NOUN
ajst-19204	16	3	is	be	AUX
ajst-19204	16	4	also	also	ADV
ajst-19204	16	5	widely	widely	ADV
ajst-19204	16	6	used	use	VERB
ajst-19204	16	7	in	in	ADP
ajst-19204	16	8	financial	financial	ADJ
ajst-19204	16	9	academia	academia	NOUN
ajst-19204	16	10	and	and	CCONJ
ajst-19204	16	11	the	the	DET
ajst-19204	16	12	financial	financial	ADJ
ajst-19204	16	13	industry	industry	NOUN
ajst-19204	16	14	.	.	PUNCT
ajst-19204	17	1	by	by	ADP
ajst-19204	17	2	collecting	collect	VERB
ajst-19204	17	3	large	large	ADJ
ajst-19204	17	4	amounts	amount	NOUN
ajst-19204	17	5	of	of	ADP
ajst-19204	17	6	data	datum	NOUN
ajst-19204	17	7	,	,	PUNCT
ajst-19204	17	8	machine	machine	NOUN
ajst-19204	17	9	learning	learning	NOUN
ajst-19204	17	10	models	model	NOUN
ajst-19204	17	11	can	can	AUX
ajst-19204	17	12	be	be	AUX
ajst-19204	17	13	used	use	VERB
ajst-19204	17	14	to	to	PART
ajst-19204	17	15	develop	develop	VERB
ajst-19204	17	16	income	income	NOUN
ajst-19204	17	17	forecasts	forecast	NOUN
ajst-19204	17	18	and	and	CCONJ
ajst-19204	17	19	machine	machine	NOUN
ajst-19204	17	20	learning	learn	VERB
ajst-19204	17	21	stock	stock	NOUN
ajst-19204	17	22	-	-	PUNCT
ajst-19204	17	23	picking	pick	VERB
ajst-19204	17	24	strategies	strategy	NOUN
ajst-19204	17	25	.	.	PUNCT
ajst-19204	18	1	data	datum	NOUN
ajst-19204	18	2	reduction	reduction	NOUN
ajst-19204	18	3	and	and	CCONJ
ajst-19204	18	4	feature	feature	NOUN
ajst-19204	18	5	extraction	extraction	NOUN
ajst-19204	18	6	have	have	AUX
ajst-19204	18	7	also	also	ADV
ajst-19204	18	8	become	become	VERB
ajst-19204	18	9	important	important	ADJ
ajst-19204	18	10	techniques	technique	NOUN
ajst-19204	18	11	for	for	ADP
ajst-19204	18	12	deep	deep	ADJ
ajst-19204	18	13	learning	learning	NOUN
ajst-19204	18	14	applications	application	NOUN
ajst-19204	18	15	to	to	PART
ajst-19204	18	16	solve	solve	VERB
ajst-19204	18	17	highdimensional	highdimensional	ADJ
ajst-19204	18	18	trap	trap	NOUN
ajst-19204	18	19	problems	problem	NOUN
ajst-19204	18	20	and	and	CCONJ
ajst-19204	18	21	nonlinear	nonlinear	ADJ
ajst-19204	18	22	dependencies	dependency	NOUN
ajst-19204	18	23	.	.	PUNCT
ajst-19204	19	1	in	in	ADP
ajst-19204	19	2	addition	addition	NOUN
ajst-19204	19	3	,	,	PUNCT
ajst-19204	19	4	principal	principal	ADJ
ajst-19204	19	5	component	component	NOUN
ajst-19204	19	6	analysis	analysis	NOUN
ajst-19204	19	7	and	and	CCONJ
ajst-19204	19	8	linear	linear	ADJ
ajst-19204	19	9	machine	machine	NOUN
ajst-19204	19	10	learning	learning	NOUN
ajst-19204	19	11	methods	method	NOUN
ajst-19204	19	12	are	be	AUX
ajst-19204	19	13	widely	widely	ADV
ajst-19204	19	14	used	use	VERB
ajst-19204	19	15	.	.	PUNCT
ajst-19204	20	1	[	[	X
ajst-19204	20	2	1]the	1]the	DET
ajst-19204	20	3	processing	processing	NOUN
ajst-19204	20	4	of	of	ADP
ajst-19204	20	5	explicit	explicit	ADJ
ajst-19204	20	6	and	and	CCONJ
ajst-19204	20	7	implicit	implicit	ADJ
ajst-19204	20	8	information	information	NOUN
ajst-19204	20	9	has	have	AUX
ajst-19204	20	10	also	also	ADV
ajst-19204	20	11	become	become	VERB
ajst-19204	20	12	a	a	DET
ajst-19204	20	13	key	key	ADJ
ajst-19204	20	14	problem	problem	NOUN
ajst-19204	20	15	in	in	ADP
ajst-19204	20	16	deep	deep	ADJ
ajst-19204	20	17	learning	learning	NOUN
ajst-19204	20	18	applications	application	NOUN
ajst-19204	20	19	.	.	PUNCT
ajst-19204	21	1	the	the	DET
ajst-19204	21	2	design	design	NOUN
ajst-19204	21	3	of	of	ADP
ajst-19204	21	4	stock	stock	NOUN
ajst-19204	21	5	characteristic	characteristic	ADJ
ajst-19204	21	6	factors	factor	NOUN
ajst-19204	21	7	and	and	CCONJ
ajst-19204	21	8	big	big	ADJ
ajst-19204	21	9	data	datum	NOUN
ajst-19204	21	10	processing	processing	NOUN
ajst-19204	21	11	technology	technology	NOUN
ajst-19204	21	12	have	have	AUX
ajst-19204	21	13	also	also	ADV
ajst-19204	21	14	become	become	VERB
ajst-19204	21	15	the	the	DET
ajst-19204	21	16	hot	hot	ADJ
ajst-19204	21	17	fields	field	NOUN
ajst-19204	21	18	of	of	ADP
ajst-19204	21	19	deep	deep	ADJ
ajst-19204	21	20	learning	learning	NOUN
ajst-19204	21	21	applications	application	NOUN
ajst-19204	21	22	.	.	PUNCT
ajst-19204	22	1	the	the	DET
ajst-19204	22	2	financial	financial	ADJ
ajst-19204	22	3	quantitative	quantitative	ADJ
ajst-19204	22	4	trading	trading	NOUN
ajst-19204	22	5	market	market	NOUN
ajst-19204	22	6	is	be	AUX
ajst-19204	22	7	a	a	DET
ajst-19204	22	8	challenging	challenging	ADJ
ajst-19204	22	9	and	and	CCONJ
ajst-19204	22	10	complex	complex	ADJ
ajst-19204	22	11	process	process	NOUN
ajst-19204	22	12	with	with	ADP
ajst-19204	22	13	constantly	constantly	ADV
ajst-19204	22	14	changing	change	VERB
ajst-19204	22	15	conditions	condition	NOUN
ajst-19204	22	16	and	and	CCONJ
ajst-19204	22	17	many	many	ADJ
ajst-19204	22	18	factors	factor	NOUN
ajst-19204	22	19	to	to	PART
ajst-19204	22	20	consider	consider	VERB
ajst-19204	22	21	.	.	PUNCT
ajst-19204	23	1	as	as	SCONJ
ajst-19204	23	2	financial	financial	ADJ
ajst-19204	23	3	markets	market	NOUN
ajst-19204	23	4	become	become	VERB
ajst-19204	23	5	increasingly	increasingly	ADV
ajst-19204	23	6	competitive	competitive	ADJ
ajst-19204	23	7	,	,	PUNCT
ajst-19204	23	8	staying	stay	VERB
ajst-19204	23	9	ahead	ahead	ADV
ajst-19204	23	10	is	be	AUX
ajst-19204	23	11	a	a	DET
ajst-19204	23	12	never	never	ADV
ajst-19204	23	13	-	-	PUNCT
ajst-19204	23	14	ending	end	VERB
ajst-19204	23	15	battle	battle	NOUN
ajst-19204	23	16	.	.	PUNCT
ajst-19204	24	1	machine	machine	NOUN
ajst-19204	24	2	learning	learning	NOUN
ajst-19204	24	3	(	(	PUNCT
ajst-19204	24	4	ml&dl	ml&dl	NOUN
ajst-19204	24	5	)	)	PUNCT
ajst-19204	24	6	has	have	AUX
ajst-19204	24	7	made	make	VERB
ajst-19204	24	8	some	some	DET
ajst-19204	24	9	advances	advance	NOUN
ajst-19204	24	10	in	in	ADP
ajst-19204	24	11	recent	recent	ADJ
ajst-19204	24	12	years	year	NOUN
ajst-19204	24	13	,	,	PUNCT
ajst-19204	24	14	and	and	CCONJ
ajst-19204	24	15	gpt	gpt	NOUN
ajst-19204	24	16	in	in	ADP
ajst-19204	24	17	particular	particular	ADJ
ajst-19204	24	18	is	be	AUX
ajst-19204	24	19	amazing	amazing	ADJ
ajst-19204	24	20	.	.	PUNCT
ajst-19204	25	1	one	one	PRON
ajst-19204	25	2	might	might	AUX
ajst-19204	25	3	want	want	VERB
ajst-19204	25	4	to	to	PART
ajst-19204	25	5	use	use	VERB
ajst-19204	25	6	machine	machine	NOUN
ajst-19204	25	7	learning	learning	NOUN
ajst-19204	25	8	or	or	CCONJ
ajst-19204	25	9	deep	deep	ADJ
ajst-19204	25	10	modelling	modelling	NOUN
ajst-19204	25	11	in	in	ADP
ajst-19204	25	12	quantification	quantification	NOUN
ajst-19204	25	13	,	,	PUNCT
ajst-19204	25	14	but	but	CCONJ
ajst-19204	25	15	unfortunately	unfortunately	ADV
ajst-19204	25	16	the	the	DET
ajst-19204	25	17	results	result	NOUN
ajst-19204	25	18	are	be	AUX
ajst-19204	25	19	often	often	ADV
ajst-19204	25	20	bad	bad	ADJ
ajst-19204	25	21	and	and	CCONJ
ajst-19204	25	22	things	thing	NOUN
ajst-19204	25	23	are	be	AUX
ajst-19204	25	24	not	not	PART
ajst-19204	25	25	that	that	ADV
ajst-19204	25	26	simple	simple	ADJ
ajst-19204	25	27	.	.	PUNCT
ajst-19204	26	1	because	because	SCONJ
ajst-19204	26	2	many	many	ADJ
ajst-19204	26	3	undesirable	undesirable	ADJ
ajst-19204	26	4	features	feature	NOUN
ajst-19204	26	5	are	be	AUX
ajst-19204	26	6	often	often	ADV
ajst-19204	26	7	observed	observe	VERB
ajst-19204	26	8	in	in	ADP
ajst-19204	26	9	financial	financial	ADJ
ajst-19204	26	10	time	time	NOUN
ajst-19204	26	11	series	series	NOUN
ajst-19204	26	12	,	,	PUNCT
ajst-19204	26	13	modelling	model	VERB
ajst-19204	26	14	financial	financial	ADJ
ajst-19204	26	15	risk	risk	NOUN
ajst-19204	26	16	and	and	CCONJ
ajst-19204	26	17	time	time	NOUN
ajst-19204	26	18	series	series	PROPN
ajst-19204	26	19	can	can	AUX
ajst-19204	26	20	be	be	AUX
ajst-19204	26	21	challenging	challenge	VERB
ajst-19204	26	22	.	.	PUNCT
ajst-19204	27	1	these	these	DET
ajst-19204	27	2	features	feature	NOUN
ajst-19204	27	3	include	include	VERB
ajst-19204	27	4	1	1	NUM
ajst-19204	27	5	.	.	X
ajst-19204	27	6	overfitting	overfitte	VERB
ajst-19204	27	7	:	:	PUNCT
ajst-19204	27	8	multiple	multiple	ADJ
ajst-19204	27	9	features	feature	NOUN
ajst-19204	27	10	can	can	AUX
ajst-19204	27	11	be	be	AUX
ajst-19204	27	12	used	use	VERB
ajst-19204	27	13	in	in	ADP
ajst-19204	27	14	financial	financial	ADJ
ajst-19204	27	15	risk	risk	NOUN
ajst-19204	27	16	prediction	prediction	NOUN
ajst-19204	27	17	models	model	NOUN
ajst-19204	27	18	,	,	PUNCT
ajst-19204	27	19	but	but	CCONJ
ajst-19204	27	20	it	it	PRON
ajst-19204	27	21	is	be	AUX
ajst-19204	27	22	difficult	difficult	ADJ
ajst-19204	27	23	to	to	PART
ajst-19204	27	24	determine	determine	VERB
ajst-19204	27	25	which	which	DET
ajst-19204	27	26	features	feature	NOUN
ajst-19204	27	27	are	be	AUX
ajst-19204	27	28	truly	truly	ADV
ajst-19204	27	29	predictive	predictive	ADJ
ajst-19204	27	30	of	of	ADP
ajst-19204	27	31	future	future	ADJ
ajst-19204	27	32	behaviour	behaviour	NOUN
ajst-19204	27	33	.	.	PUNCT
ajst-19204	28	1	this	this	PRON
ajst-19204	28	2	can	can	AUX
ajst-19204	28	3	lead	lead	VERB
ajst-19204	28	4	to	to	ADP
ajst-19204	28	5	overfitting	overfitte	VERB
ajst-19204	28	6	,	,	PUNCT
ajst-19204	28	7	where	where	SCONJ
ajst-19204	28	8	the	the	DET
ajst-19204	28	9	model	model	NOUN
ajst-19204	28	10	performs	perform	VERB
ajst-19204	28	11	well	well	ADV
ajst-19204	28	12	on	on	ADP
ajst-19204	28	13	training	training	NOUN
ajst-19204	28	14	data	datum	NOUN
ajst-19204	28	15	but	but	CCONJ
ajst-19204	28	16	poorly	poorly	ADV
ajst-19204	28	17	on	on	ADP
ajst-19204	28	18	test	test	NOUN
ajst-19204	28	19	data	datum	NOUN
ajst-19204	28	20	and	and	CCONJ
ajst-19204	28	21	actual	actual	ADJ
ajst-19204	28	22	data	datum	NOUN
ajst-19204	28	23	after	after	ADP
ajst-19204	28	24	deployment	deployment	NOUN
ajst-19204	28	25	.	.	PUNCT
ajst-19204	29	1	2	2	X
ajst-19204	29	2	.	.	X
ajst-19204	29	3	non	non	ADJ
ajst-19204	29	4	-	-	NOUN
ajst-19204	29	5	stationarity	stationarity	ADJ
ajst-19204	29	6	:	:	PUNCT
ajst-19204	29	7	financial	financial	ADJ
ajst-19204	29	8	transaction	transaction	NOUN
ajst-19204	29	9	time	time	NOUN
ajst-19204	29	10	series	series	PROPN
ajst-19204	29	11	typically	typically	ADV
ajst-19204	29	12	exhibit	exhibit	VERB
ajst-19204	29	13	non	non	ADJ
ajst-19204	29	14	-	-	NOUN
ajst-19204	29	15	stationarity	stationarity	NOUN
ajst-19204	29	16	,	,	PUNCT
ajst-19204	29	17	which	which	PRON
ajst-19204	29	18	means	mean	VERB
ajst-19204	29	19	that	that	SCONJ
ajst-19204	29	20	the	the	DET
ajst-19204	29	21	statistical	statistical	ADJ
ajst-19204	29	22	properties	property	NOUN
ajst-19204	29	23	of	of	ADP
ajst-19204	29	24	the	the	DET
ajst-19204	29	25	series	series	NOUN
ajst-19204	29	26	change	change	NOUN
ajst-19204	29	27	over	over	ADP
ajst-19204	29	28	time	time	NOUN
ajst-19204	29	29	.	.	PUNCT
ajst-19204	30	1	this	this	PRON
ajst-19204	30	2	makes	make	VERB
ajst-19204	30	3	it	it	PRON
ajst-19204	30	4	difficult	difficult	ADJ
ajst-19204	30	5	to	to	PART
ajst-19204	30	6	model	model	VERB
ajst-19204	30	7	the	the	DET
ajst-19204	30	8	series	series	NOUN
ajst-19204	30	9	using	use	VERB
ajst-19204	30	10	traditional	traditional	ADJ
ajst-19204	30	11	techniques	technique	NOUN
ajst-19204	30	12	such	such	ADJ
ajst-19204	30	13	as	as	ADP
ajst-19204	30	14	linear	linear	PROPN
ajst-19204	30	15	regression	regression	NOUN
ajst-19204	30	16	,	,	PUNCT
ajst-19204	30	17	which	which	PRON
ajst-19204	30	18	assumes	assume	VERB
ajst-19204	30	19	stationary	stationary	ADJ
ajst-19204	30	20	data	datum	NOUN
ajst-19204	30	21	.	.	PUNCT
ajst-19204	31	1	3	3	X
ajst-19204	31	2	.	.	X
ajst-19204	31	3	heteroscedasticity	heteroscedasticity	NOUN
ajst-19204	31	4	:	:	PUNCT
ajst-19204	31	5	time	time	NOUN
ajst-19204	31	6	series	series	PROPN
ajst-19204	31	7	from	from	ADP
ajst-19204	31	8	financial	financial	ADJ
ajst-19204	31	9	trading	trading	NOUN
ajst-19204	31	10	markets	market	NOUN
ajst-19204	31	11	tend	tend	VERB
ajst-19204	31	12	to	to	PART
ajst-19204	31	13	exhibit	exhibit	VERB
ajst-19204	31	14	heteroskedasticity	heteroskedasticity	NOUN
ajst-19204	31	15	,	,	PUNCT
ajst-19204	31	16	which	which	PRON
ajst-19204	31	17	means	mean	VERB
ajst-19204	31	18	that	that	SCONJ
ajst-19204	31	19	the	the	DET
ajst-19204	31	20	variance	variance	NOUN
ajst-19204	31	21	of	of	ADP
ajst-19204	31	22	the	the	DET
ajst-19204	31	23	series	series	NOUN
ajst-19204	31	24	changes	change	VERB
ajst-19204	31	25	over	over	ADP
ajst-19204	31	26	time	time	NOUN
ajst-19204	31	27	.	.	PUNCT
ajst-19204	32	1	this	this	PRON
ajst-19204	32	2	can	can	AUX
ajst-19204	32	3	make	make	VERB
ajst-19204	32	4	it	it	PRON
ajst-19204	32	5	difficult	difficult	ADJ
ajst-19204	32	6	to	to	PART
ajst-19204	32	7	estimate	estimate	VERB
ajst-19204	32	8	the	the	DET
ajst-19204	32	9	true	true	ADJ
ajst-19204	32	10	variance	variance	NOUN
ajst-19204	32	11	of	of	ADP
ajst-19204	32	12	the	the	DET
ajst-19204	32	13	series	series	NOUN
ajst-19204	32	14	and	and	CCONJ
ajst-19204	32	15	can	can	AUX
ajst-19204	32	16	lead	lead	VERB
ajst-19204	32	17	to	to	ADP
ajst-19204	32	18	biased	biased	ADJ
ajst-19204	32	19	estimates	estimate	NOUN
ajst-19204	32	20	of	of	ADP
ajst-19204	32	21	model	model	NOUN
ajst-19204	32	22	parameters	parameter	NOUN
ajst-19204	32	23	.	.	PUNCT
ajst-19204	33	1	4	4	X
ajst-19204	33	2	.	.	X
ajst-19204	33	3	autocorrelation	autocorrelation	NOUN
ajst-19204	33	4	:	:	PUNCT
ajst-19204	33	5	financial	financial	ADJ
ajst-19204	33	6	time	time	NOUN
ajst-19204	33	7	series	series	PROPN
ajst-19204	33	8	typically	typically	ADV
ajst-19204	33	9	exhibit	exhibit	VERB
ajst-19204	33	10	autocorrelation	autocorrelation	NOUN
ajst-19204	33	11	,	,	PUNCT
ajst-19204	33	12	which	which	PRON
ajst-19204	33	13	means	mean	VERB
ajst-19204	33	14	that	that	SCONJ
ajst-19204	33	15	the	the	DET
ajst-19204	33	16	value	value	NOUN
ajst-19204	33	17	of	of	ADP
ajst-19204	33	18	the	the	DET
ajst-19204	33	19	series	series	NOUN
ajst-19204	33	20	at	at	ADP
ajst-19204	33	21	one	one	NUM
ajst-19204	33	22	point	point	NOUN
ajst-19204	33	23	in	in	ADP
ajst-19204	33	24	time	time	NOUN
ajst-19204	33	25	is	be	AUX
ajst-19204	33	26	related	relate	VERB
ajst-19204	33	27	to	to	ADP
ajst-19204	33	28	its	its	PRON
ajst-19204	33	29	own	own	ADJ
ajst-19204	33	30	value	value	NOUN
ajst-19204	33	31	at	at	ADP
ajst-19204	33	32	another	another	DET
ajst-19204	33	33	point	point	NOUN
ajst-19204	33	34	in	in	ADP
ajst-19204	33	35	time	time	NOUN
ajst-19204	33	36	.	.	PUNCT
ajst-19204	34	1	this	this	PRON
ajst-19204	34	2	can	can	AUX
ajst-19204	34	3	make	make	VERB
ajst-19204	34	4	it	it	PRON
ajst-19204	34	5	difficult	difficult	ADJ
ajst-19204	34	6	to	to	PART
ajst-19204	34	7	model	model	VERB
ajst-19204	34	8	the	the	DET
ajst-19204	34	9	series	series	NOUN
ajst-19204	34	10	using	use	VERB
ajst-19204	34	11	291	291	NUM
ajst-19204	34	12	assumption	assumption	NOUN
ajst-19204	34	13	-	-	PUNCT
ajst-19204	34	14	independent	independent	ADJ
ajst-19204	34	15	techniques	technique	NOUN
ajst-19204	34	16	such	such	ADJ
ajst-19204	34	17	as	as	ADP
ajst-19204	34	18	linear	linear	PROPN
ajst-19204	34	19	regression	regression	NOUN
ajst-19204	34	20	.	.	PUNCT
ajst-19204	35	1	to	to	PART
ajst-19204	35	2	overcome	overcome	VERB
ajst-19204	35	3	these	these	DET
ajst-19204	35	4	challenges	challenge	NOUN
ajst-19204	35	5	,	,	PUNCT
ajst-19204	35	6	the	the	DET
ajst-19204	35	7	design	design	NOUN
ajst-19204	35	8	of	of	ADP
ajst-19204	35	9	machine	machine	NOUN
ajst-19204	35	10	learning	learning	NOUN
ajst-19204	35	11	models	model	NOUN
ajst-19204	35	12	for	for	ADP
ajst-19204	35	13	financial	financial	ADJ
ajst-19204	35	14	quantification	quantification	NOUN
ajst-19204	35	15	and	and	CCONJ
ajst-19204	35	16	trading	trading	NOUN
ajst-19204	35	17	risk	risk	NOUN
ajst-19204	35	18	prediction	prediction	NOUN
ajst-19204	35	19	should	should	AUX
ajst-19204	35	20	take	take	VERB
ajst-19204	35	21	these	these	DET
ajst-19204	35	22	characteristics	characteristic	NOUN
ajst-19204	35	23	into	into	ADP
ajst-19204	35	24	account	account	NOUN
ajst-19204	35	25	,	,	PUNCT
ajst-19204	35	26	both	both	CCONJ
ajst-19204	35	27	in	in	ADP
ajst-19204	35	28	the	the	DET
ajst-19204	35	29	model	model	NOUN
ajst-19204	35	30	itself	itself	PRON
ajst-19204	35	31	and	and	CCONJ
ajst-19204	35	32	by	by	ADP
ajst-19204	35	33	transforming	transform	VERB
ajst-19204	35	34	the	the	DET
ajst-19204	35	35	data	datum	NOUN
ajst-19204	35	36	.	.	PUNCT
ajst-19204	36	1	for	for	ADP
ajst-19204	36	2	example	example	NOUN
ajst-19204	36	3	,	,	PUNCT
ajst-19204	36	4	we	we	PRON
ajst-19204	36	5	can	can	AUX
ajst-19204	36	6	use	use	VERB
ajst-19204	36	7	ml	ml	NOUN
ajst-19204	36	8	techniques	technique	NOUN
ajst-19204	36	9	that	that	PRON
ajst-19204	36	10	are	be	AUX
ajst-19204	36	11	robust	robust	ADJ
ajst-19204	36	12	to	to	ADP
ajst-19204	36	13	non	non	ADJ
ajst-19204	36	14	-	-	NOUN
ajst-19204	36	15	stationarity	stationarity	NOUN
ajst-19204	36	16	and	and	CCONJ
ajst-19204	36	17	autocorrelation	autocorrelation	NOUN
ajst-19204	36	18	,	,	PUNCT
ajst-19204	36	19	reduce	reduce	VERB
ajst-19204	36	20	overfitting	overfitting	NOUN
ajst-19204	36	21	by	by	ADP
ajst-19204	36	22	combining	combine	VERB
ajst-19204	36	23	regularisation	regularisation	NOUN
ajst-19204	36	24	,	,	PUNCT
ajst-19204	36	25	or	or	CCONJ
ajst-19204	36	26	use	use	VERB
ajst-19204	36	27	techniques	technique	NOUN
ajst-19204	36	28	that	that	PRON
ajst-19204	36	29	account	account	VERB
ajst-19204	36	30	for	for	ADP
ajst-19204	36	31	heteroscedasticity	heteroscedasticity	NOUN
ajst-19204	36	32	.	.	PUNCT
ajst-19204	37	1	2	2	X
ajst-19204	37	2	.	.	X
ajst-19204	37	3	related	relate	VERB
ajst-19204	37	4	work	work	NOUN
ajst-19204	37	5	2.1	2.1	NUM
ajst-19204	37	6	.	.	PUNCT
ajst-19204	38	1	financial	financial	ADJ
ajst-19204	38	2	quantitative	quantitative	ADJ
ajst-19204	38	3	investment	investment	NOUN
ajst-19204	38	4	quantitative	quantitative	ADJ
ajst-19204	38	5	investing	investing	NOUN
ajst-19204	38	6	is	be	AUX
ajst-19204	38	7	a	a	DET
ajst-19204	38	8	trading	trading	NOUN
ajst-19204	38	9	method	method	NOUN
ajst-19204	38	10	with	with	ADP
ajst-19204	38	11	quantitative	quantitative	ADJ
ajst-19204	38	12	statistical	statistical	ADJ
ajst-19204	38	13	analysis	analysis	NOUN
ajst-19204	38	14	tools	tool	NOUN
ajst-19204	38	15	as	as	ADP
ajst-19204	38	16	the	the	DET
ajst-19204	38	17	core	core	NOUN
ajst-19204	38	18	and	and	CCONJ
ajst-19204	38	19	programmatic	programmatic	ADJ
ajst-19204	38	20	trading	trading	NOUN
ajst-19204	38	21	as	as	ADP
ajst-19204	38	22	the	the	DET
ajst-19204	38	23	means	mean	NOUN
ajst-19204	38	24	.	.	PUNCT
ajst-19204	39	1	overseas	overseas	ADV
ajst-19204	39	2	,	,	PUNCT
ajst-19204	39	3	quantitative	quantitative	ADJ
ajst-19204	39	4	trading	trading	NOUN
ajst-19204	39	5	has	have	VERB
ajst-19204	39	6	a	a	DET
ajst-19204	39	7	long	long	ADJ
ajst-19204	39	8	history	history	NOUN
ajst-19204	39	9	.	.	PUNCT
ajst-19204	40	1	the	the	DET
ajst-19204	40	2	earliest	early	ADJ
ajst-19204	40	3	examples	example	NOUN
ajst-19204	40	4	of	of	ADP
ajst-19204	40	5	quantitative	quantitative	ADJ
ajst-19204	40	6	trading	trading	NOUN
ajst-19204	40	7	date	date	NOUN
ajst-19204	40	8	back	back	ADV
ajst-19204	40	9	more	more	ADJ
ajst-19204	40	10	than	than	ADP
ajst-19204	40	11	2,500	2,500	NUM
ajst-19204	40	12	years	year	NOUN
ajst-19204	40	13	.	.	PUNCT
ajst-19204	41	1	the	the	DET
ajst-19204	41	2	ancient	ancient	ADJ
ajst-19204	41	3	greek	greek	ADJ
ajst-19204	41	4	philosopher	philosopher	NOUN
ajst-19204	41	5	thales	thales	PROPN
ajst-19204	41	6	predicted	predict	VERB
ajst-19204	41	7	that	that	SCONJ
ajst-19204	41	8	the	the	DET
ajst-19204	41	9	olive	olive	NOUN
ajst-19204	41	10	harvest	harvest	NOUN
ajst-19204	41	11	would	would	AUX
ajst-19204	41	12	be	be	AUX
ajst-19204	41	13	abundant	abundant	ADJ
ajst-19204	41	14	that	that	DET
ajst-19204	41	15	year	year	NOUN
ajst-19204	41	16	by	by	ADP
ajst-19204	41	17	observing	observe	VERB
ajst-19204	41	18	the	the	DET
ajst-19204	41	19	stars	star	NOUN
ajst-19204	41	20	,	,	PUNCT
ajst-19204	41	21	so	so	SCONJ
ajst-19204	41	22	he	he	PRON
ajst-19204	41	23	immediately	immediately	ADV
ajst-19204	41	24	rented	rent	VERB
ajst-19204	41	25	all	all	DET
ajst-19204	41	26	the	the	DET
ajst-19204	41	27	local	local	ADJ
ajst-19204	41	28	oil	oil	NOUN
ajst-19204	41	29	presses	press	NOUN
ajst-19204	41	30	at	at	ADP
ajst-19204	41	31	a	a	DET
ajst-19204	41	32	low	low	ADJ
ajst-19204	41	33	price	price	NOUN
ajst-19204	41	34	.	.	PUNCT
ajst-19204	42	1	when	when	SCONJ
ajst-19204	42	2	the	the	DET
ajst-19204	42	3	olive	olive	NOUN
ajst-19204	42	4	harvest	harvest	NOUN
ajst-19204	42	5	came	come	VERB
ajst-19204	42	6	,	,	PUNCT
ajst-19204	42	7	he	he	PRON
ajst-19204	42	8	rehired	rehire	VERB
ajst-19204	42	9	the	the	DET
ajst-19204	42	10	oil	oil	NOUN
ajst-19204	42	11	presses	press	NOUN
ajst-19204	42	12	at	at	ADP
ajst-19204	42	13	a	a	DET
ajst-19204	42	14	high	high	ADJ
ajst-19204	42	15	price	price	NOUN
ajst-19204	42	16	.	.	PUNCT
ajst-19204	43	1	in	in	ADP
ajst-19204	43	2	effect	effect	NOUN
ajst-19204	43	3	,	,	PUNCT
ajst-19204	43	4	thales	thales	PROPN
ajst-19204	43	5	was	be	AUX
ajst-19204	43	6	trading	trade	VERB
ajst-19204	43	7	a	a	DET
ajst-19204	43	8	call	call	NOUN
ajst-19204	43	9	option	option	NOUN
ajst-19204	43	10	on	on	ADP
ajst-19204	43	11	an	an	DET
ajst-19204	43	12	oil	oil	NOUN
ajst-19204	43	13	press	press	NOUN
ajst-19204	43	14	.	.	PUNCT
ajst-19204	44	1	after	after	ADP
ajst-19204	44	2	that	that	PRON
ajst-19204	44	3	,	,	PUNCT
ajst-19204	44	4	quantitative	quantitative	ADJ
ajst-19204	44	5	finance	finance	NOUN
ajst-19204	44	6	began	begin	VERB
ajst-19204	44	7	a	a	DET
ajst-19204	44	8	period	period	NOUN
ajst-19204	44	9	of	of	ADP
ajst-19204	44	10	great	great	ADJ
ajst-19204	44	11	development	development	NOUN
ajst-19204	44	12	.	.	PUNCT
ajst-19204	45	1	the	the	DET
ajst-19204	45	2	20th	20th	ADJ
ajst-19204	45	3	century	century	NOUN
ajst-19204	45	4	was	be	AUX
ajst-19204	45	5	a	a	DET
ajst-19204	45	6	golden	golden	ADJ
ajst-19204	45	7	age	age	NOUN
ajst-19204	45	8	for	for	ADP
ajst-19204	45	9	modern	modern	ADJ
ajst-19204	45	10	mathematical	mathematical	ADJ
ajst-19204	45	11	finance	finance	NOUN
ajst-19204	45	12	.	.	PUNCT
ajst-19204	46	1	asset	asset	NOUN
ajst-19204	46	2	portfolio	portfolio	NOUN
ajst-19204	46	3	theory	theory	NOUN
ajst-19204	46	4	,	,	PUNCT
ajst-19204	46	5	the	the	DET
ajst-19204	46	6	capital	capital	NOUN
ajst-19204	46	7	asset	asset	NOUN
ajst-19204	46	8	pricing	pricing	NOUN
ajst-19204	46	9	model	model	NOUN
ajst-19204	46	10	,	,	PUNCT
ajst-19204	46	11	the	the	DET
ajst-19204	46	12	option	option	NOUN
ajst-19204	46	13	pricing	pricing	NOUN
ajst-19204	46	14	formula	formula	NOUN
ajst-19204	46	15	,	,	PUNCT
ajst-19204	46	16	the	the	DET
ajst-19204	46	17	arbitrage	arbitrage	NOUN
ajst-19204	46	18	pricing	pricing	NOUN
ajst-19204	46	19	model	model	NOUN
ajst-19204	46	20	,	,	PUNCT
ajst-19204	46	21	and	and	CCONJ
ajst-19204	46	22	so	so	ADV
ajst-19204	46	23	on	on	ADV
ajst-19204	46	24	,	,	PUNCT
ajst-19204	46	25	emerged	emerge	VERB
ajst-19204	46	26	in	in	ADP
ajst-19204	46	27	succession	succession	NOUN
ajst-19204	46	28	,	,	PUNCT
ajst-19204	46	29	providing	provide	VERB
ajst-19204	46	30	a	a	DET
ajst-19204	46	31	solid	solid	ADJ
ajst-19204	46	32	theoretical	theoretical	ADJ
ajst-19204	46	33	foundation	foundation	NOUN
ajst-19204	46	34	for	for	ADP
ajst-19204	46	35	the	the	DET
ajst-19204	46	36	development	development	NOUN
ajst-19204	46	37	of	of	ADP
ajst-19204	46	38	modern	modern	ADJ
ajst-19204	46	39	quantitative	quantitative	ADJ
ajst-19204	46	40	trading	trading	NOUN
ajst-19204	46	41	.	.	PUNCT
ajst-19204	47	1	in	in	ADP
ajst-19204	47	2	the	the	DET
ajst-19204	47	3	21st	21st	ADJ
ajst-19204	47	4	century	century	NOUN
ajst-19204	47	5	,	,	PUNCT
ajst-19204	47	6	the	the	DET
ajst-19204	47	7	development	development	NOUN
ajst-19204	47	8	of	of	ADP
ajst-19204	47	9	cloud	cloud	PROPN
ajst-19204	47	10	computing	computing	NOUN
ajst-19204	47	11	,	,	PUNCT
ajst-19204	47	12	big	big	ADJ
ajst-19204	47	13	data	datum	NOUN
ajst-19204	47	14	,	,	PUNCT
ajst-19204	47	15	machine	machine	NOUN
ajst-19204	47	16	learning	learning	NOUN
ajst-19204	47	17	and	and	CCONJ
ajst-19204	47	18	other	other	ADJ
ajst-19204	47	19	computer	computer	NOUN
ajst-19204	47	20	technologies	technology	NOUN
ajst-19204	47	21	has	have	AUX
ajst-19204	47	22	laid	lay	VERB
ajst-19204	47	23	a	a	DET
ajst-19204	47	24	good	good	ADJ
ajst-19204	47	25	foundation	foundation	NOUN
ajst-19204	47	26	for	for	ADP
ajst-19204	47	27	the	the	DET
ajst-19204	47	28	in	in	ADP
ajst-19204	47	29	-	-	PUNCT
ajst-19204	47	30	depth	depth	NOUN
ajst-19204	47	31	quantification	quantification	NOUN
ajst-19204	47	32	of	of	ADP
ajst-19204	47	33	artificial	artificial	ADJ
ajst-19204	47	34	intelligence	intelligence	NOUN
ajst-19204	47	35	.	.	PUNCT
ajst-19204	48	1	in	in	ADP
ajst-19204	48	2	actual	actual	ADJ
ajst-19204	48	3	investment	investment	NOUN
ajst-19204	48	4	research	research	NOUN
ajst-19204	48	5	,	,	PUNCT
ajst-19204	48	6	we	we	PRON
ajst-19204	48	7	can	can	AUX
ajst-19204	48	8	model	model	VERB
ajst-19204	48	9	financial	financial	ADJ
ajst-19204	48	10	and	and	CCONJ
ajst-19204	48	11	trading	trading	NOUN
ajst-19204	48	12	data	datum	NOUN
ajst-19204	48	13	to	to	PART
ajst-19204	48	14	analyse	analyse	VERB
ajst-19204	48	15	the	the	DET
ajst-19204	48	16	characteristics	characteristic	NOUN
ajst-19204	48	17	of	of	ADP
ajst-19204	48	18	the	the	DET
ajst-19204	48	19	data	datum	NOUN
ajst-19204	48	20	,	,	PUNCT
ajst-19204	48	21	and	and	CCONJ
ajst-19204	48	22	we	we	PRON
ajst-19204	48	23	can	can	AUX
ajst-19204	48	24	also	also	ADV
ajst-19204	48	25	use	use	VERB
ajst-19204	48	26	various	various	ADJ
ajst-19204	48	27	classification	classification	NOUN
ajst-19204	48	28	and	and	CCONJ
ajst-19204	48	29	regression	regression	NOUN
ajst-19204	48	30	prediction	prediction	NOUN
ajst-19204	48	31	algorithms	algorithm	NOUN
ajst-19204	48	32	in	in	ADP
ajst-19204	48	33	the	the	DET
ajst-19204	48	34	field	field	NOUN
ajst-19204	48	35	of	of	ADP
ajst-19204	48	36	machine	machine	NOUN
ajst-19204	48	37	learning	learn	VERB
ajst-19204	48	38	to	to	PART
ajst-19204	48	39	build	build	VERB
ajst-19204	48	40	trading	trading	NOUN
ajst-19204	48	41	strategies	strategy	NOUN
ajst-19204	48	42	.	.	PUNCT
ajst-19204	49	1	in	in	ADP
ajst-19204	49	2	addition	addition	NOUN
ajst-19204	49	3	to	to	ADP
ajst-19204	49	4	numerical	numerical	ADJ
ajst-19204	49	5	data	datum	NOUN
ajst-19204	49	6	as	as	ADP
ajst-19204	49	7	input	input	NOUN
ajst-19204	49	8	to	to	ADP
ajst-19204	49	9	the	the	DET
ajst-19204	49	10	model	model	NOUN
ajst-19204	49	11	,	,	PUNCT
ajst-19204	49	12	the	the	DET
ajst-19204	49	13	rich	rich	ADJ
ajst-19204	49	14	text	text	NOUN
ajst-19204	49	15	data	datum	NOUN
ajst-19204	49	16	in	in	ADP
ajst-19204	49	17	news	news	NOUN
ajst-19204	49	18	and	and	CCONJ
ajst-19204	49	19	social	social	ADJ
ajst-19204	49	20	networks	network	NOUN
ajst-19204	49	21	is	be	AUX
ajst-19204	49	22	also	also	ADV
ajst-19204	49	23	a	a	DET
ajst-19204	49	24	great	great	ADJ
ajst-19204	49	25	tool	tool	NOUN
ajst-19204	49	26	for	for	SCONJ
ajst-19204	49	27	us	we	PRON
ajst-19204	49	28	to	to	PART
ajst-19204	49	29	analyse	analyse	VERB
ajst-19204	49	30	the	the	DET
ajst-19204	49	31	clues	clue	NOUN
ajst-19204	49	32	of	of	ADP
ajst-19204	49	33	market	market	NOUN
ajst-19204	49	34	changes	change	NOUN
ajst-19204	49	35	.	.	PUNCT
ajst-19204	50	1	in	in	ADP
ajst-19204	50	2	addition	addition	NOUN
ajst-19204	50	3	,	,	PUNCT
ajst-19204	50	4	by	by	ADP
ajst-19204	50	5	using	use	VERB
ajst-19204	50	6	natural	natural	ADJ
ajst-19204	50	7	language	language	NOUN
ajst-19204	50	8	processing	processing	NOUN
ajst-19204	50	9	technology	technology	NOUN
ajst-19204	50	10	,	,	PUNCT
ajst-19204	50	11	we	we	PRON
ajst-19204	50	12	can	can	AUX
ajst-19204	50	13	learn	learn	VERB
ajst-19204	50	14	the	the	DET
ajst-19204	50	15	numerical	numerical	ADJ
ajst-19204	50	16	representation	representation	NOUN
ajst-19204	50	17	of	of	ADP
ajst-19204	50	18	unstructured	unstructured	ADJ
ajst-19204	50	19	text	text	NOUN
ajst-19204	50	20	data	datum	NOUN
ajst-19204	50	21	;	;	PUNCT
ajst-19204	50	22	by	by	ADP
ajst-19204	50	23	using	use	VERB
ajst-19204	50	24	knowledge	knowledge	NOUN
ajst-19204	50	25	graph	graph	NOUN
ajst-19204	50	26	technology	technology	NOUN
ajst-19204	50	27	,	,	PUNCT
ajst-19204	50	28	we	we	PRON
ajst-19204	50	29	can	can	AUX
ajst-19204	50	30	construct	construct	VERB
ajst-19204	50	31	a	a	DET
ajst-19204	50	32	network	network	NOUN
ajst-19204	50	33	of	of	ADP
ajst-19204	50	34	different	different	ADJ
ajst-19204	50	35	kinds	kind	NOUN
ajst-19204	50	36	of	of	ADP
ajst-19204	50	37	entity	entity	NOUN
ajst-19204	50	38	connections	connection	NOUN
ajst-19204	50	39	,	,	PUNCT
ajst-19204	50	40	and	and	CCONJ
ajst-19204	50	41	according	accord	VERB
ajst-19204	50	42	to	to	ADP
ajst-19204	50	43	the	the	DET
ajst-19204	50	44	relationship	relationship	NOUN
ajst-19204	50	45	network	network	NOUN
ajst-19204	50	46	,	,	PUNCT
ajst-19204	50	47	we	we	PRON
ajst-19204	50	48	can	can	AUX
ajst-19204	50	49	support	support	VERB
ajst-19204	50	50	investment	investment	NOUN
ajst-19204	50	51	decisions	decision	NOUN
ajst-19204	50	52	.	.	PUNCT
ajst-19204	51	1	at	at	ADP
ajst-19204	51	2	the	the	DET
ajst-19204	51	3	heart	heart	NOUN
ajst-19204	51	4	of	of	ADP
ajst-19204	51	5	quantitative	quantitative	ADJ
ajst-19204	51	6	investing	investing	NOUN
ajst-19204	51	7	are	be	AUX
ajst-19204	51	8	quantitative	quantitative	ADJ
ajst-19204	51	9	models	model	NOUN
ajst-19204	51	10	,	,	PUNCT
ajst-19204	51	11	which	which	PRON
ajst-19204	51	12	can	can	AUX
ajst-19204	51	13	be	be	AUX
ajst-19204	51	14	built	build	VERB
ajst-19204	51	15	by	by	ADP
ajst-19204	51	16	humans	human	NOUN
ajst-19204	51	17	or	or	CCONJ
ajst-19204	51	18	built	build	VERB
ajst-19204	51	19	and	and	CCONJ
ajst-19204	51	20	constantly	constantly	ADV
ajst-19204	51	21	refined	refine	VERB
ajst-19204	51	22	by	by	ADP
ajst-19204	51	23	ai	ai	PROPN
ajst-19204	51	24	machines	machine	NOUN
ajst-19204	51	25	.	.	PUNCT
ajst-19204	52	1	[	[	X
ajst-19204	52	2	2]at	2]at	NUM
ajst-19204	52	3	present	present	NOUN
ajst-19204	52	4	,	,	PUNCT
ajst-19204	52	5	with	with	ADP
ajst-19204	52	6	the	the	DET
ajst-19204	52	7	development	development	NOUN
ajst-19204	52	8	of	of	ADP
ajst-19204	52	9	artificial	artificial	ADJ
ajst-19204	52	10	intelligence	intelligence	NOUN
ajst-19204	52	11	,	,	PUNCT
ajst-19204	52	12	more	more	ADJ
ajst-19204	52	13	and	and	CCONJ
ajst-19204	52	14	more	more	ADJ
ajst-19204	52	15	models	model	NOUN
ajst-19204	52	16	rely	rely	VERB
ajst-19204	52	17	on	on	SCONJ
ajst-19204	52	18	ai	ai	PROPN
ajst-19204	52	19	machines	machine	NOUN
ajst-19204	52	20	to	to	PART
ajst-19204	52	21	build	build	VERB
ajst-19204	52	22	and	and	CCONJ
ajst-19204	52	23	improve	improve	VERB
ajst-19204	52	24	them	they	PRON
ajst-19204	52	25	,	,	PUNCT
ajst-19204	52	26	but	but	CCONJ
ajst-19204	52	27	it	it	PRON
ajst-19204	52	28	also	also	ADV
ajst-19204	52	29	requires	require	VERB
ajst-19204	52	30	human	human	ADJ
ajst-19204	52	31	participation	participation	NOUN
ajst-19204	52	32	.	.	PUNCT
ajst-19204	53	1	quant	quant	ADJ
ajst-19204	53	2	robots	robot	NOUN
ajst-19204	53	3	are	be	AUX
ajst-19204	53	4	machines	machine	NOUN
ajst-19204	53	5	that	that	PRON
ajst-19204	53	6	strictly	strictly	ADV
ajst-19204	53	7	execute	execute	VERB
ajst-19204	53	8	trading	trading	NOUN
ajst-19204	53	9	strategies	strategy	NOUN
ajst-19204	53	10	.	.	PUNCT
ajst-19204	54	1	suppose	suppose	VERB
ajst-19204	54	2	that	that	SCONJ
ajst-19204	54	3	one	one	NUM
ajst-19204	54	4	of	of	ADP
ajst-19204	54	5	the	the	DET
ajst-19204	54	6	criteria	criterion	NOUN
ajst-19204	54	7	for	for	ADP
ajst-19204	54	8	an	an	DET
ajst-19204	54	9	investor	investor	NOUN
ajst-19204	54	10	to	to	PART
ajst-19204	54	11	select	select	VERB
ajst-19204	54	12	a	a	DET
ajst-19204	54	13	stock	stock	NOUN
ajst-19204	54	14	is	be	AUX
ajst-19204	54	15	that	that	SCONJ
ajst-19204	54	16	the	the	DET
ajst-19204	54	17	price	price	NOUN
ajst-19204	54	18	-	-	PUNCT
ajst-19204	54	19	to	to	ADP
ajst-19204	54	20	-	-	PUNCT
ajst-19204	54	21	book	book	NOUN
ajst-19204	54	22	ratio	ratio	NOUN
ajst-19204	54	23	of	of	ADP
ajst-19204	54	24	the	the	DET
ajst-19204	54	25	stock	stock	NOUN
ajst-19204	54	26	should	should	AUX
ajst-19204	54	27	be	be	AUX
ajst-19204	54	28	less	less	ADJ
ajst-19204	54	29	than	than	ADP
ajst-19204	54	30	5	5	NUM
ajst-19204	54	31	,	,	PUNCT
ajst-19204	54	32	and	and	CCONJ
ajst-19204	54	33	the	the	DET
ajst-19204	54	34	price	price	NOUN
ajst-19204	54	35	-	-	PUNCT
ajst-19204	54	36	to	to	ADP
ajst-19204	54	37	-	-	PUNCT
ajst-19204	54	38	book	book	NOUN
ajst-19204	54	39	ratio	ratio	NOUN
ajst-19204	54	40	(	(	PUNCT
ajst-19204	54	41	p	p	NOUN
ajst-19204	54	42	/	/	SYM
ajst-19204	54	43	b	b	NOUN
ajst-19204	54	44	)	)	PUNCT
ajst-19204	54	45	can	can	AUX
ajst-19204	54	46	better	well	ADV
ajst-19204	54	47	reflect	reflect	VERB
ajst-19204	54	48	the	the	DET
ajst-19204	54	49	"	"	PUNCT
ajst-19204	54	50	pay	pay	NOUN
ajst-19204	54	51	,	,	PUNCT
ajst-19204	54	52	pay	pay	NOUN
ajst-19204	54	53	"	"	PUNCT
ajst-19204	54	54	,	,	PUNCT
ajst-19204	54	55	which	which	PRON
ajst-19204	54	56	can	can	AUX
ajst-19204	54	57	help	help	VERB
ajst-19204	54	58	investors	investor	NOUN
ajst-19204	54	59	find	find	VERB
ajst-19204	54	60	which	which	PRON
ajst-19204	54	61	listed	list	VERB
ajst-19204	54	62	company	company	NOUN
ajst-19204	54	63	can	can	AUX
ajst-19204	54	64	get	get	VERB
ajst-19204	54	65	higher	high	ADJ
ajst-19204	54	66	output	output	NOUN
ajst-19204	54	67	with	with	ADP
ajst-19204	54	68	less	less	ADJ
ajst-19204	54	69	investment	investment	NOUN
ajst-19204	54	70	.	.	PUNCT
ajst-19204	55	1	if	if	SCONJ
ajst-19204	55	2	it	it	PRON
ajst-19204	55	3	is	be	AUX
ajst-19204	55	4	a	a	DET
ajst-19204	55	5	subjective	subjective	ADJ
ajst-19204	55	6	investor	investor	NOUN
ajst-19204	55	7	,	,	PUNCT
ajst-19204	55	8	it	it	PRON
ajst-19204	55	9	can	can	AUX
ajst-19204	55	10	be	be	AUX
ajst-19204	55	11	screened	screen	VERB
ajst-19204	55	12	one	one	NUM
ajst-19204	55	13	by	by	ADP
ajst-19204	55	14	one	one	NUM
ajst-19204	55	15	,	,	PUNCT
ajst-19204	55	16	but	but	CCONJ
ajst-19204	55	17	if	if	SCONJ
ajst-19204	55	18	it	it	PRON
ajst-19204	55	19	is	be	AUX
ajst-19204	55	20	a	a	DET
ajst-19204	55	21	factor	factor	NOUN
ajst-19204	55	22	in	in	ADP
ajst-19204	55	23	the	the	DET
ajst-19204	55	24	quantitative	quantitative	ADJ
ajst-19204	55	25	model	model	NOUN
ajst-19204	55	26	,	,	PUNCT
ajst-19204	55	27	there	there	PRON
ajst-19204	55	28	is	be	VERB
ajst-19204	55	29	also	also	ADV
ajst-19204	55	30	a	a	DET
ajst-19204	55	31	standard	standard	NOUN
ajst-19204	55	32	of	of	ADP
ajst-19204	55	33	p	p	NOUN
ajst-19204	55	34	/	/	SYM
ajst-19204	55	35	b	b	NOUN
ajst-19204	55	36	below	below	ADP
ajst-19204	55	37	5	5	NUM
ajst-19204	55	38	,	,	PUNCT
ajst-19204	55	39	as	as	ADV
ajst-19204	55	40	long	long	ADV
ajst-19204	55	41	as	as	SCONJ
ajst-19204	55	42	we	we	PRON
ajst-19204	55	43	put	put	VERB
ajst-19204	55	44	the	the	DET
ajst-19204	55	45	financial	financial	ADJ
ajst-19204	55	46	data	datum	NOUN
ajst-19204	55	47	of	of	ADP
ajst-19204	55	48	all	all	DET
ajst-19204	55	49	a	a	DET
ajst-19204	55	50	-	-	PUNCT
ajst-19204	55	51	share	share	NOUN
ajst-19204	55	52	listed	list	VERB
ajst-19204	55	53	companies	company	NOUN
ajst-19204	55	54	into	into	ADP
ajst-19204	55	55	the	the	DET
ajst-19204	55	56	model	model	NOUN
ajst-19204	55	57	,	,	PUNCT
ajst-19204	55	58	it	it	PRON
ajst-19204	55	59	will	will	AUX
ajst-19204	55	60	soon	soon	ADV
ajst-19204	55	61	screen	screen	VERB
ajst-19204	55	62	out	out	ADP
ajst-19204	55	63	stocks	stock	NOUN
ajst-19204	55	64	with	with	ADP
ajst-19204	55	65	p	p	X
ajst-19204	55	66	/	/	SYM
ajst-19204	55	67	b	b	NOUN
ajst-19204	55	68	below	below	ADP
ajst-19204	55	69	5	5	NUM
ajst-19204	55	70	.	.	PUNCT
ajst-19204	56	1	in	in	ADP
ajst-19204	56	2	addition	addition	NOUN
ajst-19204	56	3	to	to	ADP
ajst-19204	56	4	this	this	DET
ajst-19204	56	5	stock	stock	NOUN
ajst-19204	56	6	selection	selection	NOUN
ajst-19204	56	7	standard	standard	NOUN
ajst-19204	56	8	,	,	PUNCT
ajst-19204	56	9	investors	investor	NOUN
ajst-19204	56	10	also	also	ADV
ajst-19204	56	11	require	require	VERB
ajst-19204	56	12	that	that	SCONJ
ajst-19204	56	13	the	the	DET
ajst-19204	56	14	market	market	NOUN
ajst-19204	56	15	value	value	NOUN
ajst-19204	56	16	of	of	ADP
ajst-19204	56	17	the	the	DET
ajst-19204	56	18	stock	stock	NOUN
ajst-19204	56	19	is	be	AUX
ajst-19204	56	20	not	not	PART
ajst-19204	56	21	less	less	ADJ
ajst-19204	56	22	than	than	ADP
ajst-19204	56	23	10	10	NUM
ajst-19204	56	24	billion	billion	NUM
ajst-19204	56	25	,	,	PUNCT
ajst-19204	56	26	so	so	SCONJ
ajst-19204	56	27	as	as	ADV
ajst-19204	56	28	long	long	ADV
ajst-19204	56	29	as	as	SCONJ
ajst-19204	56	30	we	we	PRON
ajst-19204	56	31	have	have	VERB
ajst-19204	56	32	the	the	DET
ajst-19204	56	33	existing	exist	VERB
ajst-19204	56	34	market	market	NOUN
ajst-19204	56	35	value	value	NOUN
ajst-19204	56	36	data	datum	NOUN
ajst-19204	56	37	of	of	ADP
ajst-19204	56	38	all	all	DET
ajst-19204	56	39	ashare	ashare	VERB
ajst-19204	56	40	listed	list	VERB
ajst-19204	56	41	companies	company	NOUN
ajst-19204	56	42	,	,	PUNCT
ajst-19204	56	43	the	the	DET
ajst-19204	56	44	model	model	NOUN
ajst-19204	56	45	will	will	AUX
ajst-19204	56	46	soon	soon	ADV
ajst-19204	56	47	be	be	AUX
ajst-19204	56	48	able	able	ADJ
ajst-19204	56	49	to	to	PART
ajst-19204	56	50	screen	screen	VERB
ajst-19204	56	51	out	out	ADP
ajst-19204	56	52	all	all	DET
ajst-19204	56	53	stocks	stock	NOUN
ajst-19204	56	54	that	that	PRON
ajst-19204	56	55	meet	meet	VERB
ajst-19204	56	56	these	these	DET
ajst-19204	56	57	two	two	NUM
ajst-19204	56	58	requirements	requirement	NOUN
ajst-19204	56	59	.	.	PUNCT
ajst-19204	57	1	2.2	2.2	NUM
ajst-19204	57	2	.	.	PUNCT
ajst-19204	58	1	quantitative	quantitative	ADJ
ajst-19204	58	2	investment	investment	NOUN
ajst-19204	58	3	applications	application	NOUN
ajst-19204	58	4	high	high	ADJ
ajst-19204	58	5	frequency	frequency	NOUN
ajst-19204	58	6	trading	trading	NOUN
ajst-19204	58	7	:	:	PUNCT
ajst-19204	58	8	many	many	ADJ
ajst-19204	58	9	market	market	NOUN
ajst-19204	58	10	changes	change	NOUN
ajst-19204	58	11	are	be	AUX
ajst-19204	58	12	extremely	extremely	ADV
ajst-19204	58	13	short	short	ADV
ajst-19204	58	14	-	-	PUNCT
ajst-19204	58	15	lived	live	VERB
ajst-19204	58	16	,	,	PUNCT
ajst-19204	58	17	and	and	CCONJ
ajst-19204	58	18	investment	investment	NOUN
ajst-19204	58	19	opportunities	opportunity	NOUN
ajst-19204	58	20	can	can	AUX
ajst-19204	58	21	disappear	disappear	VERB
ajst-19204	58	22	within	within	ADP
ajst-19204	58	23	a	a	DET
ajst-19204	58	24	short	short	ADJ
ajst-19204	58	25	time	time	NOUN
ajst-19204	58	26	after	after	SCONJ
ajst-19204	58	27	we	we	PRON
ajst-19204	58	28	find	find	VERB
ajst-19204	58	29	them	they	PRON
ajst-19204	58	30	.	.	PUNCT
ajst-19204	59	1	[	[	X
ajst-19204	59	2	3]for	3]for	ADP
ajst-19204	59	3	this	this	DET
ajst-19204	59	4	reason	reason	NOUN
ajst-19204	59	5	,	,	PUNCT
ajst-19204	59	6	high	high	ADJ
ajst-19204	59	7	-	-	PUNCT
ajst-19204	59	8	frequency	frequency	NOUN
ajst-19204	59	9	trading	trading	NOUN
ajst-19204	59	10	must	must	AUX
ajst-19204	59	11	be	be	AUX
ajst-19204	59	12	carried	carry	VERB
ajst-19204	59	13	out	out	ADP
ajst-19204	59	14	with	with	ADP
ajst-19204	59	15	the	the	DET
ajst-19204	59	16	help	help	NOUN
ajst-19204	59	17	of	of	ADP
ajst-19204	59	18	computers	computer	NOUN
ajst-19204	59	19	.	.	PUNCT
ajst-19204	60	1	high	high	ADJ
ajst-19204	60	2	frequency	frequency	NOUN
ajst-19204	60	3	trading	trading	NOUN
ajst-19204	60	4	is	be	AUX
ajst-19204	60	5	the	the	DET
ajst-19204	60	6	use	use	NOUN
ajst-19204	60	7	of	of	ADP
ajst-19204	60	8	computers	computer	NOUN
ajst-19204	60	9	to	to	PART
ajst-19204	60	10	seek	seek	VERB
ajst-19204	60	11	profits	profit	NOUN
ajst-19204	60	12	from	from	ADP
ajst-19204	60	13	extremely	extremely	ADV
ajst-19204	60	14	short	short	ADJ
ajst-19204	60	15	market	market	NOUN
ajst-19204	60	16	changes	change	NOUN
ajst-19204	60	17	that	that	PRON
ajst-19204	60	18	humans	human	NOUN
ajst-19204	60	19	can	can	AUX
ajst-19204	60	20	not	not	PART
ajst-19204	60	21	take	take	VERB
ajst-19204	60	22	advantage	advantage	NOUN
ajst-19204	60	23	of	of	ADP
ajst-19204	60	24	.	.	PUNCT
ajst-19204	61	1	for	for	ADP
ajst-19204	61	2	example	example	NOUN
ajst-19204	61	3	,	,	PUNCT
ajst-19204	61	4	a	a	DET
ajst-19204	61	5	small	small	ADJ
ajst-19204	61	6	change	change	NOUN
ajst-19204	61	7	in	in	ADP
ajst-19204	61	8	the	the	DET
ajst-19204	61	9	difference	difference	NOUN
ajst-19204	61	10	between	between	ADP
ajst-19204	61	11	the	the	DET
ajst-19204	61	12	buy	buy	NOUN
ajst-19204	61	13	and	and	CCONJ
ajst-19204	61	14	sell	sell	VERB
ajst-19204	61	15	price	price	NOUN
ajst-19204	61	16	of	of	ADP
ajst-19204	61	17	a	a	DET
ajst-19204	61	18	particular	particular	ADJ
ajst-19204	61	19	fund	fund	NOUN
ajst-19204	61	20	,	,	PUNCT
ajst-19204	61	21	or	or	CCONJ
ajst-19204	61	22	a	a	DET
ajst-19204	61	23	small	small	ADJ
ajst-19204	61	24	difference	difference	NOUN
ajst-19204	61	25	in	in	ADP
ajst-19204	61	26	the	the	DET
ajst-19204	61	27	price	price	NOUN
ajst-19204	61	28	of	of	ADP
ajst-19204	61	29	a	a	DET
ajst-19204	61	30	particular	particular	ADJ
ajst-19204	61	31	stock	stock	NOUN
ajst-19204	61	32	on	on	ADP
ajst-19204	61	33	different	different	ADJ
ajst-19204	61	34	exchanges	exchange	NOUN
ajst-19204	61	35	.	.	PUNCT
ajst-19204	62	1	high	high	ADJ
ajst-19204	62	2	-	-	PUNCT
ajst-19204	62	3	frequency	frequency	NOUN
ajst-19204	62	4	trading	trading	NOUN
ajst-19204	62	5	relies	rely	VERB
ajst-19204	62	6	on	on	ADP
ajst-19204	62	7	hardware	hardware	NOUN
ajst-19204	62	8	,	,	PUNCT
ajst-19204	62	9	and	and	CCONJ
ajst-19204	62	10	some	some	DET
ajst-19204	62	11	institutions	institution	NOUN
ajst-19204	62	12	will	will	AUX
ajst-19204	62	13	place	place	VERB
ajst-19204	62	14	their	their	PRON
ajst-19204	62	15	high	high	ADJ
ajst-19204	62	16	-	-	PUNCT
ajst-19204	62	17	frequency	frequency	NOUN
ajst-19204	62	18	trading	trading	NOUN
ajst-19204	62	19	equipment	equipment	NOUN
ajst-19204	62	20	very	very	ADV
ajst-19204	62	21	close	close	ADV
ajst-19204	62	22	to	to	ADP
ajst-19204	62	23	the	the	DET
ajst-19204	62	24	exchange	exchange	NOUN
ajst-19204	62	25	's	's	PART
ajst-19204	62	26	computers	computer	NOUN
ajst-19204	62	27	in	in	ADP
ajst-19204	62	28	order	order	NOUN
ajst-19204	62	29	to	to	PART
ajst-19204	62	30	reduce	reduce	VERB
ajst-19204	62	31	the	the	DET
ajst-19204	62	32	time	time	NOUN
ajst-19204	62	33	difference	difference	NOUN
ajst-19204	62	34	between	between	ADP
ajst-19204	62	35	trading	trading	NOUN
ajst-19204	62	36	orders	order	NOUN
ajst-19204	62	37	.	.	PUNCT
ajst-19204	63	1	in	in	ADP
ajst-19204	63	2	addition	addition	NOUN
ajst-19204	63	3	,	,	PUNCT
ajst-19204	63	4	the	the	DET
ajst-19204	63	5	holding	hold	VERB
ajst-19204	63	6	period	period	NOUN
ajst-19204	63	7	of	of	ADP
ajst-19204	63	8	high	high	ADJ
ajst-19204	63	9	-	-	PUNCT
ajst-19204	63	10	frequency	frequency	NOUN
ajst-19204	63	11	trading	trading	NOUN
ajst-19204	63	12	is	be	AUX
ajst-19204	63	13	generally	generally	ADV
ajst-19204	63	14	very	very	ADV
ajst-19204	63	15	short	short	ADJ
ajst-19204	63	16	and	and	CCONJ
ajst-19204	63	17	the	the	DET
ajst-19204	63	18	number	number	NOUN
ajst-19204	63	19	of	of	ADP
ajst-19204	63	20	intra	intra	ADJ
ajst-19204	63	21	-	-	ADJ
ajst-19204	63	22	day	day	NOUN
ajst-19204	63	23	trades	trade	NOUN
ajst-19204	63	24	is	be	AUX
ajst-19204	63	25	high	high	ADJ
ajst-19204	63	26	,	,	PUNCT
ajst-19204	63	27	so	so	CCONJ
ajst-19204	63	28	it	it	PRON
ajst-19204	63	29	is	be	AUX
ajst-19204	63	30	suitable	suitable	ADJ
ajst-19204	63	31	for	for	ADP
ajst-19204	63	32	the	the	DET
ajst-19204	63	33	time	time	NOUN
ajst-19204	63	34	difference	difference	NOUN
ajst-19204	63	35	when	when	SCONJ
ajst-19204	63	36	investors	investor	NOUN
ajst-19204	63	37	are	be	AUX
ajst-19204	63	38	actively	actively	ADV
ajst-19204	63	39	trading	trade	VERB
ajst-19204	63	40	.	.	PUNCT
ajst-19204	64	1	arbitrage	arbitrage	NOUN
ajst-19204	64	2	strategy	strategy	NOUN
ajst-19204	64	3	:	:	PUNCT
ajst-19204	64	4	arbitrage	arbitrage	NOUN
ajst-19204	64	5	is	be	AUX
ajst-19204	64	6	the	the	DET
ajst-19204	64	7	operation	operation	NOUN
ajst-19204	64	8	of	of	ADP
ajst-19204	64	9	buying	buy	VERB
ajst-19204	64	10	one	one	NUM
ajst-19204	64	11	or	or	CCONJ
ajst-19204	64	12	n	n	PRON
ajst-19204	64	13	varieties	variety	NOUN
ajst-19204	64	14	and	and	CCONJ
ajst-19204	64	15	selling	sell	VERB
ajst-19204	64	16	another	another	DET
ajst-19204	64	17	or	or	CCONJ
ajst-19204	64	18	n	n	PRON
ajst-19204	64	19	varieties	variety	NOUN
ajst-19204	64	20	at	at	ADP
ajst-19204	64	21	the	the	DET
ajst-19204	64	22	same	same	ADJ
ajst-19204	64	23	time	time	NOUN
ajst-19204	64	24	,	,	PUNCT
ajst-19204	64	25	which	which	PRON
ajst-19204	64	26	is	be	AUX
ajst-19204	64	27	also	also	ADV
ajst-19204	64	28	called	call	VERB
ajst-19204	64	29	hedging	hedging	NOUN
ajst-19204	64	30	.	.	PUNCT
ajst-19204	65	1	this	this	DET
ajst-19204	65	2	method	method	NOUN
ajst-19204	65	3	can	can	AUX
ajst-19204	65	4	provide	provide	VERB
ajst-19204	65	5	a	a	DET
ajst-19204	65	6	relatively	relatively	ADV
ajst-19204	65	7	stable	stable	ADJ
ajst-19204	65	8	income	income	NOUN
ajst-19204	65	9	regardless	regardless	ADV
ajst-19204	65	10	of	of	ADP
ajst-19204	65	11	the	the	DET
ajst-19204	65	12	direction	direction	NOUN
ajst-19204	65	13	of	of	ADP
ajst-19204	65	14	the	the	DET
ajst-19204	65	15	market	market	NOUN
ajst-19204	65	16	,	,	PUNCT
ajst-19204	65	17	up	up	ADV
ajst-19204	65	18	or	or	CCONJ
ajst-19204	65	19	down	down	ADV
ajst-19204	65	20	.	.	PUNCT
ajst-19204	66	1	in	in	ADP
ajst-19204	66	2	a	a	DET
ajst-19204	66	3	bull	bull	NOUN
ajst-19204	66	4	market	market	NOUN
ajst-19204	66	5	this	this	DET
ajst-19204	66	6	approach	approach	NOUN
ajst-19204	66	7	will	will	AUX
ajst-19204	66	8	not	not	PART
ajst-19204	66	9	beat	beat	VERB
ajst-19204	66	10	the	the	DET
ajst-19204	66	11	benchmark	benchmark	NOUN
ajst-19204	66	12	,	,	PUNCT
ajst-19204	66	13	but	but	CCONJ
ajst-19204	66	14	in	in	ADP
ajst-19204	66	15	a	a	DET
ajst-19204	66	16	bear	bear	NOUN
ajst-19204	66	17	market	market	NOUN
ajst-19204	66	18	it	it	PRON
ajst-19204	66	19	can	can	AUX
ajst-19204	66	20	avoid	avoid	VERB
ajst-19204	66	21	big	big	ADJ
ajst-19204	66	22	losses	loss	NOUN
ajst-19204	66	23	and	and	CCONJ
ajst-19204	66	24	make	make	VERB
ajst-19204	66	25	some	some	DET
ajst-19204	66	26	decent	decent	ADJ
ajst-19204	66	27	gains	gain	NOUN
ajst-19204	66	28	.	.	PUNCT
ajst-19204	67	1	commodity	commodity	NOUN
ajst-19204	67	2	trading	trade	VERB
ajst-19204	67	3	advisor	advisor	NOUN
ajst-19204	67	4	strategy	strategy	NOUN
ajst-19204	67	5	(	(	PUNCT
ajst-19204	67	6	cta	cta	PROPN
ajst-19204	67	7	)	)	PUNCT
ajst-19204	67	8	:	:	PUNCT
ajst-19204	67	9	commodity	commodity	NOUN
ajst-19204	67	10	trading	trade	VERB
ajst-19204	67	11	advisor	advisor	NOUN
ajst-19204	67	12	strategy	strategy	NOUN
ajst-19204	67	13	(	(	PUNCT
ajst-19204	67	14	cta	cta	PROPN
ajst-19204	67	15	)	)	PUNCT
ajst-19204	67	16	refers	refer	VERB
ajst-19204	67	17	to	to	ADP
ajst-19204	67	18	an	an	DET
ajst-19204	67	19	investment	investment	NOUN
ajst-19204	67	20	strategy	strategy	NOUN
ajst-19204	67	21	in	in	ADP
ajst-19204	67	22	which	which	PRON
ajst-19204	67	23	a	a	DET
ajst-19204	67	24	professional	professional	ADJ
ajst-19204	67	25	manager	manager	NOUN
ajst-19204	67	26	invests	invest	NOUN
ajst-19204	67	27	in	in	ADP
ajst-19204	67	28	the	the	DET
ajst-19204	67	29	futures	future	NOUN
ajst-19204	67	30	market	market	NOUN
ajst-19204	67	31	and	and	CCONJ
ajst-19204	67	32	uses	use	VERB
ajst-19204	67	33	the	the	DET
ajst-19204	67	34	rising	rise	VERB
ajst-19204	67	35	or	or	CCONJ
ajst-19204	67	36	falling	fall	VERB
ajst-19204	67	37	trend	trend	NOUN
ajst-19204	67	38	of	of	ADP
ajst-19204	67	39	the	the	DET
ajst-19204	67	40	futures	future	NOUN
ajst-19204	67	41	market	market	NOUN
ajst-19204	67	42	to	to	PART
ajst-19204	67	43	generate	generate	VERB
ajst-19204	67	44	returns	return	NOUN
ajst-19204	67	45	.	.	PUNCT
ajst-19204	68	1	quantitative	quantitative	ADJ
ajst-19204	68	2	[	[	X
ajst-19204	68	3	4]ctas	4]ctas	NUM
ajst-19204	68	4	mainly	mainly	ADV
ajst-19204	68	5	quantify	quantify	VERB
ajst-19204	68	6	historical	historical	ADJ
ajst-19204	68	7	data	datum	NOUN
ajst-19204	68	8	,	,	PUNCT
ajst-19204	68	9	including	include	VERB
ajst-19204	68	10	opening	opening	NOUN
ajst-19204	68	11	price	price	NOUN
ajst-19204	68	12	,	,	PUNCT
ajst-19204	68	13	closing	closing	NOUN
ajst-19204	68	14	price	price	NOUN
ajst-19204	68	15	,	,	PUNCT
ajst-19204	68	16	low	low	ADJ
ajst-19204	68	17	price	price	NOUN
ajst-19204	68	18	,	,	PUNCT
ajst-19204	68	19	high	high	ADJ
ajst-19204	68	20	price	price	NOUN
ajst-19204	68	21	,	,	PUNCT
ajst-19204	68	22	trading	trading	NOUN
ajst-19204	68	23	volume	volume	NOUN
ajst-19204	68	24	,	,	PUNCT
ajst-19204	68	25	open	open	ADJ
ajst-19204	68	26	position	position	NOUN
ajst-19204	68	27	,	,	PUNCT
ajst-19204	68	28	etc	etc	X
ajst-19204	68	29	.	.	X
ajst-19204	68	30	fund	fund	NOUN
ajst-19204	68	31	managers	manager	NOUN
ajst-19204	68	32	build	build	VERB
ajst-19204	68	33	quantitative	quantitative	ADJ
ajst-19204	68	34	trading	trading	NOUN
ajst-19204	68	35	models	model	NOUN
ajst-19204	68	36	through	through	ADP
ajst-19204	68	37	analysis	analysis	NOUN
ajst-19204	68	38	,	,	PUNCT
ajst-19204	68	39	and	and	CCONJ
ajst-19204	68	40	the	the	DET
ajst-19204	68	41	models	model	NOUN
ajst-19204	68	42	issue	issue	VERB
ajst-19204	68	43	and	and	CCONJ
ajst-19204	68	44	execute	execute	VERB
ajst-19204	68	45	buy	buy	NOUN
ajst-19204	68	46	and	and	CCONJ
ajst-19204	68	47	sell	sell	VERB
ajst-19204	68	48	orders	order	NOUN
ajst-19204	68	49	to	to	PART
ajst-19204	68	50	make	make	VERB
ajst-19204	68	51	investment	investment	NOUN
ajst-19204	68	52	decisions	decision	NOUN
ajst-19204	68	53	.	.	PUNCT
ajst-19204	69	1	the	the	DET
ajst-19204	69	2	premise	premise	NOUN
ajst-19204	69	3	of	of	ADP
ajst-19204	69	4	the	the	DET
ajst-19204	69	5	above	above	ADJ
ajst-19204	69	6	operation	operation	NOUN
ajst-19204	69	7	is	be	AUX
ajst-19204	69	8	that	that	SCONJ
ajst-19204	69	9	history	history	NOUN
ajst-19204	69	10	repeats	repeat	VERB
ajst-19204	69	11	itself	itself	PRON
ajst-19204	69	12	,	,	PUNCT
ajst-19204	69	13	so	so	ADV
ajst-19204	69	14	quantifying	quantifying	ADJ
ajst-19204	69	15	cta	cta	NOUN
ajst-19204	69	16	requires	require	VERB
ajst-19204	69	17	longterm	longterm	ADJ
ajst-19204	69	18	data	datum	NOUN
ajst-19204	69	19	analysis	analysis	NOUN
ajst-19204	69	20	,	,	PUNCT
ajst-19204	69	21	factor	factor	NOUN
ajst-19204	69	22	optimisation	optimisation	NOUN
ajst-19204	69	23	and	and	CCONJ
ajst-19204	69	24	model	model	NOUN
ajst-19204	69	25	updating	updating	NOUN
ajst-19204	69	26	.	.	PUNCT
ajst-19204	70	1	with	with	ADP
ajst-19204	70	2	the	the	DET
ajst-19204	70	3	development	development	NOUN
ajst-19204	70	4	of	of	ADP
ajst-19204	70	5	the	the	DET
ajst-19204	70	6	internet	internet	NOUN
ajst-19204	70	7	,	,	PUNCT
ajst-19204	70	8	most	most	ADJ
ajst-19204	70	9	futures	future	NOUN
ajst-19204	70	10	cta	cta	NOUN
ajst-19204	70	11	strategies	strategy	NOUN
ajst-19204	70	12	are	be	AUX
ajst-19204	70	13	basically	basically	ADV
ajst-19204	70	14	automatic	automatic	ADJ
ajst-19204	70	15	trading	trading	NOUN
ajst-19204	70	16	,	,	PUNCT
ajst-19204	70	17	but	but	CCONJ
ajst-19204	70	18	some	some	PRON
ajst-19204	70	19	are	be	AUX
ajst-19204	70	20	manually	manually	ADV
ajst-19204	70	21	assisted	assist	VERB
ajst-19204	70	22	.	.	PUNCT
ajst-19204	71	1	the	the	DET
ajst-19204	71	2	futures	future	NOUN
ajst-19204	71	3	cta	cta	PROPN
ajst-19204	71	4	strategy	strategy	NOUN
ajst-19204	71	5	is	be	AUX
ajst-19204	71	6	suitable	suitable	ADJ
ajst-19204	71	7	for	for	ADP
ajst-19204	71	8	markets	market	NOUN
ajst-19204	71	9	with	with	ADP
ajst-19204	71	10	a	a	DET
ajst-19204	71	11	clear	clear	ADJ
ajst-19204	71	12	trend	trend	NOUN
ajst-19204	71	13	,	,	PUNCT
ajst-19204	71	14	where	where	SCONJ
ajst-19204	71	15	investors	investor	NOUN
ajst-19204	71	16	buy	buy	VERB
ajst-19204	71	17	futures	future	NOUN
ajst-19204	71	18	contracts	contract	NOUN
ajst-19204	71	19	in	in	ADP
ajst-19204	71	20	anticipation	anticipation	NOUN
ajst-19204	71	21	of	of	ADP
ajst-19204	71	22	future	future	ADJ
ajst-19204	71	23	price	price	NOUN
ajst-19204	71	24	rises	rise	NOUN
ajst-19204	71	25	and	and	CCONJ
ajst-19204	71	26	,	,	PUNCT
ajst-19204	71	27	conversely	conversely	ADV
ajst-19204	71	28	,	,	PUNCT
ajst-19204	71	29	sell	sell	VERB
ajst-19204	71	30	futures	future	NOUN
ajst-19204	71	31	contracts	contract	NOUN
ajst-19204	71	32	when	when	SCONJ
ajst-19204	71	33	prices	price	NOUN
ajst-19204	71	34	fall	fall	VERB
ajst-19204	71	35	.	.	PUNCT
ajst-19204	72	1	futures	future	NOUN
ajst-19204	72	2	can	can	AUX
ajst-19204	72	3	be	be	AUX
ajst-19204	72	4	bought	buy	VERB
ajst-19204	72	5	first	first	ADV
ajst-19204	72	6	and	and	CCONJ
ajst-19204	72	7	then	then	ADV
ajst-19204	72	8	sold	sell	VERB
ajst-19204	72	9	,	,	PUNCT
ajst-19204	72	10	and	and	CCONJ
ajst-19204	72	11	sold	sell	VERB
ajst-19204	72	12	first	first	ADV
ajst-19204	72	13	and	and	CCONJ
ajst-19204	72	14	then	then	ADV
ajst-19204	72	15	bought	buy	VERB
ajst-19204	72	16	,	,	PUNCT
ajst-19204	72	17	so	so	CCONJ
ajst-19204	72	18	domestic	domestic	ADJ
ajst-19204	72	19	futures	future	NOUN
ajst-19204	72	20	trading	trading	NOUN
ajst-19204	72	21	has	have	AUX
ajst-19204	72	22	realised	realise	VERB
ajst-19204	72	23	a	a	DET
ajst-19204	72	24	two	two	NUM
ajst-19204	72	25	-	-	PUNCT
ajst-19204	72	26	way	way	NOUN
ajst-19204	72	27	profit	profit	NOUN
ajst-19204	72	28	mechanism	mechanism	NOUN
ajst-19204	72	29	of	of	ADP
ajst-19204	72	30	long	long	ADJ
ajst-19204	72	31	and	and	CCONJ
ajst-19204	72	32	short	short	ADJ
ajst-19204	72	33	.	.	PUNCT
ajst-19204	73	1	2.3	2.3	NUM
ajst-19204	73	2	.	.	PUNCT
ajst-19204	73	3	machine	machine	NOUN
ajst-19204	73	4	learning	learning	NOUN
ajst-19204	73	5	and	and	CCONJ
ajst-19204	73	6	financial	financial	ADJ
ajst-19204	73	7	quantification	quantification	NOUN
ajst-19204	73	8	breakthroughs	breakthrough	NOUN
ajst-19204	73	9	in	in	ADP
ajst-19204	73	10	machine	machine	NOUN
ajst-19204	73	11	learning	learning	NOUN
ajst-19204	73	12	have	have	AUX
ajst-19204	73	13	made	make	VERB
ajst-19204	73	14	it	it	PRON
ajst-19204	73	15	possible	possible	ADJ
ajst-19204	73	16	to	to	PART
ajst-19204	73	17	extract	extract	VERB
ajst-19204	73	18	new	new	ADJ
ajst-19204	73	19	information	information	NOUN
ajst-19204	73	20	from	from	ADP
ajst-19204	73	21	financial	financial	ADJ
ajst-19204	73	22	markets	market	NOUN
ajst-19204	73	23	.	.	PUNCT
ajst-19204	74	1	machine	machine	NOUN
ajst-19204	74	2	learning	learn	VERB
ajst-19204	74	3	technology	technology	NOUN
ajst-19204	74	4	makes	make	VERB
ajst-19204	74	5	it	it	PRON
ajst-19204	74	6	possible	possible	ADJ
ajst-19204	74	7	to	to	PART
ajst-19204	74	8	analyse	analyse	VERB
ajst-19204	74	9	large	large	ADJ
ajst-19204	74	10	amounts	amount	NOUN
ajst-19204	74	11	of	of	ADP
ajst-19204	74	12	data	datum	NOUN
ajst-19204	74	13	and	and	CCONJ
ajst-19204	74	14	data	datum	NOUN
ajst-19204	74	15	from	from	ADP
ajst-19204	74	16	images	image	NOUN
ajst-19204	74	17	or	or	CCONJ
ajst-19204	74	18	large	large	ADJ
ajst-19204	74	19	amounts	amount	NOUN
ajst-19204	74	20	of	of	ADP
ajst-19204	74	21	text	text	NOUN
ajst-19204	74	22	,	,	PUNCT
ajst-19204	74	23	such	such	ADJ
ajst-19204	74	24	as	as	ADP
ajst-19204	74	25	newspaper	newspaper	NOUN
ajst-19204	74	26	articles	article	NOUN
ajst-19204	74	27	,	,	PUNCT
ajst-19204	74	28	announcements	announcement	NOUN
ajst-19204	74	29	or	or	CCONJ
ajst-19204	74	30	tweets	tweet	NOUN
ajst-19204	74	31	,	,	PUNCT
ajst-19204	74	32	which	which	PRON
ajst-19204	74	33	was	be	AUX
ajst-19204	74	34	not	not	PART
ajst-19204	74	35	previously	previously	ADV
ajst-19204	74	36	possible	possible	ADJ
ajst-19204	74	37	.	.	PUNCT
ajst-19204	75	1	new	new	ADJ
ajst-19204	75	2	and	and	CCONJ
ajst-19204	75	3	hidden	hidden	ADJ
ajst-19204	75	4	patterns	pattern	NOUN
ajst-19204	75	5	are	be	AUX
ajst-19204	75	6	discovered	discover	VERB
ajst-19204	75	7	,	,	PUNCT
ajst-19204	75	8	some	some	PRON
ajst-19204	75	9	of	of	ADP
ajst-19204	75	10	which	which	PRON
ajst-19204	75	11	may	may	AUX
ajst-19204	75	12	not	not	PART
ajst-19204	75	13	be	be	AUX
ajst-19204	75	14	detectable	detectable	ADJ
ajst-19204	75	15	by	by	ADP
ajst-19204	75	16	traditional	traditional	ADJ
ajst-19204	75	17	statistical	statistical	ADJ
ajst-19204	75	18	methods	method	NOUN
ajst-19204	75	19	.	.	PUNCT
ajst-19204	76	1	using	use	VERB
ajst-19204	76	2	machine	machine	NOUN
ajst-19204	76	3	learning	learning	NOUN
ajst-19204	76	4	algorithms	algorithm	NOUN
ajst-19204	76	5	,	,	PUNCT
ajst-19204	76	6	quant	quant	ADJ
ajst-19204	76	7	traders	trader	NOUN
ajst-19204	76	8	can	can	AUX
ajst-19204	76	9	build	build	VERB
ajst-19204	76	10	models	model	NOUN
ajst-19204	76	11	that	that	PRON
ajst-19204	76	12	learn	learn	VERB
ajst-19204	76	13	from	from	ADP
ajst-19204	76	14	historical	historical	ADJ
ajst-19204	76	15	market	market	NOUN
ajst-19204	76	16	data	datum	NOUN
ajst-19204	76	17	,	,	PUNCT
ajst-19204	76	18	identify	identify	VERB
ajst-19204	76	19	hidden	hide	VERB
ajst-19204	76	20	relationships	relationship	NOUN
ajst-19204	76	21	and	and	CCONJ
ajst-19204	76	22	predict	predict	VERB
ajst-19204	76	23	future	future	ADJ
ajst-19204	76	24	price	price	NOUN
ajst-19204	76	25	movements	movement	NOUN
ajst-19204	76	26	.	.	PUNCT
ajst-19204	77	1	for	for	ADP
ajst-19204	77	2	example	example	NOUN
ajst-19204	77	3	,	,	PUNCT
ajst-19204	77	4	supervised	supervise	VERB
ajst-19204	77	5	292	292	NUM
ajst-19204	77	6	learning	learning	NOUN
ajst-19204	77	7	is	be	AUX
ajst-19204	77	8	a	a	DET
ajst-19204	77	9	common	common	ADJ
ajst-19204	77	10	approach	approach	NOUN
ajst-19204	77	11	to	to	ADP
ajst-19204	77	12	stock	stock	NOUN
ajst-19204	77	13	price	price	NOUN
ajst-19204	77	14	forecasting	forecasting	NOUN
ajst-19204	77	15	,	,	PUNCT
ajst-19204	77	16	where	where	SCONJ
ajst-19204	77	17	historical	historical	ADJ
ajst-19204	77	18	data	datum	NOUN
ajst-19204	77	19	is	be	AUX
ajst-19204	77	20	used	use	VERB
ajst-19204	77	21	to	to	PART
ajst-19204	77	22	train	train	VERB
ajst-19204	77	23	a	a	DET
ajst-19204	77	24	model	model	NOUN
ajst-19204	77	25	to	to	PART
ajst-19204	77	26	predict	predict	VERB
ajst-19204	77	27	future	future	ADJ
ajst-19204	77	28	prices	price	NOUN
ajst-19204	77	29	.	.	PUNCT
ajst-19204	78	1	regression	regression	NOUN
ajst-19204	78	2	models	model	NOUN
ajst-19204	78	3	such	such	ADJ
ajst-19204	78	4	as	as	ADP
ajst-19204	78	5	linear	linear	PROPN
ajst-19204	78	6	regression	regression	NOUN
ajst-19204	78	7	,	,	PUNCT
ajst-19204	78	8	support	support	NOUN
ajst-19204	78	9	vector	vector	NOUN
ajst-19204	78	10	regression	regression	NOUN
ajst-19204	78	11	(	(	PUNCT
ajst-19204	78	12	svr	svr	PROPN
ajst-19204	78	13	)	)	PUNCT
ajst-19204	78	14	and	and	CCONJ
ajst-19204	78	15	random	random	ADJ
ajst-19204	78	16	forests	forest	NOUN
ajst-19204	78	17	are	be	AUX
ajst-19204	78	18	commonly	commonly	ADV
ajst-19204	78	19	used	use	VERB
ajst-19204	78	20	.	.	PUNCT
ajst-19204	79	1	unsupervised	unsupervised	ADJ
ajst-19204	79	2	learning	learning	NOUN
ajst-19204	79	3	can	can	AUX
ajst-19204	79	4	also	also	ADV
ajst-19204	79	5	help	help	VERB
ajst-19204	79	6	create	create	VERB
ajst-19204	79	7	new	new	ADJ
ajst-19204	79	8	trading	trading	NOUN
ajst-19204	79	9	strategies	strategy	NOUN
ajst-19204	79	10	.	.	PUNCT
ajst-19204	80	1	methods	method	NOUN
ajst-19204	80	2	such	such	ADJ
ajst-19204	80	3	as	as	ADP
ajst-19204	80	4	clustering	clustering	NOUN
ajst-19204	80	5	can	can	AUX
ajst-19204	80	6	reveal	reveal	VERB
ajst-19204	80	7	hidden	hidden	ADJ
ajst-19204	80	8	patterns	pattern	NOUN
ajst-19204	80	9	in	in	ADP
ajst-19204	80	10	the	the	DET
ajst-19204	80	11	data	data	NOUN
ajst-19204	80	12	,	,	PUNCT
ajst-19204	80	13	allowing	allow	VERB
ajst-19204	80	14	traders	trader	NOUN
ajst-19204	80	15	to	to	PART
ajst-19204	80	16	discover	discover	VERB
ajst-19204	80	17	similarities	similarity	NOUN
ajst-19204	80	18	and	and	CCONJ
ajst-19204	80	19	differences	difference	NOUN
ajst-19204	80	20	between	between	ADP
ajst-19204	80	21	stocks	stock	NOUN
ajst-19204	80	22	,	,	PUNCT
ajst-19204	80	23	or	or	CCONJ
ajst-19204	80	24	dimensionality	dimensionality	NOUN
ajst-19204	80	25	reduction	reduction	NOUN
ajst-19204	80	26	methods	method	NOUN
ajst-19204	80	27	such	such	ADJ
ajst-19204	80	28	as	as	ADP
ajst-19204	80	29	principal	principal	ADJ
ajst-19204	80	30	component	component	NOUN
ajst-19204	80	31	analysis	analysis	NOUN
ajst-19204	80	32	(	(	PUNCT
ajst-19204	80	33	pca	pca	NOUN
ajst-19204	80	34	)	)	PUNCT
ajst-19204	80	35	can	can	AUX
ajst-19204	80	36	help	help	VERB
ajst-19204	80	37	reduce	reduce	VERB
ajst-19204	80	38	the	the	DET
ajst-19204	80	39	complexity	complexity	NOUN
ajst-19204	80	40	of	of	ADP
ajst-19204	80	41	the	the	DET
ajst-19204	80	42	dataset	dataset	NOUN
ajst-19204	80	43	while	while	SCONJ
ajst-19204	80	44	preserving	preserve	VERB
ajst-19204	80	45	important	important	ADJ
ajst-19204	80	46	information	information	NOUN
ajst-19204	80	47	.	.	PUNCT
ajst-19204	81	1	traditional	traditional	ADJ
ajst-19204	81	2	quantitative	quantitative	ADJ
ajst-19204	81	3	strategies	strategy	NOUN
ajst-19204	81	4	(	(	PUNCT
ajst-19204	81	5	multifactor	multifactor	NOUN
ajst-19204	81	6	,	,	PUNCT
ajst-19204	81	7	cta	cta	PROPN
ajst-19204	81	8	,	,	PUNCT
ajst-19204	81	9	etc	etc	X
ajst-19204	81	10	.	.	X
ajst-19204	81	11	)	)	PUNCT
ajst-19204	81	12	are	be	AUX
ajst-19204	81	13	based	base	VERB
ajst-19204	81	14	on	on	ADP
ajst-19204	81	15	a	a	DET
ajst-19204	81	16	hypothesis	hypothesis	NOUN
ajst-19204	81	17	with	with	ADP
ajst-19204	81	18	strong	strong	ADJ
ajst-19204	81	19	logical	logical	ADJ
ajst-19204	81	20	support	support	NOUN
ajst-19204	81	21	and	and	CCONJ
ajst-19204	81	22	the	the	DET
ajst-19204	81	23	strategy	strategy	NOUN
ajst-19204	81	24	researcher	researcher	NOUN
ajst-19204	81	25	builds	build	VERB
ajst-19204	81	26	a	a	DET
ajst-19204	81	27	model	model	NOUN
ajst-19204	81	28	that	that	PRON
ajst-19204	81	29	can	can	AUX
ajst-19204	81	30	predict	predict	VERB
ajst-19204	81	31	asset	asset	NOUN
ajst-19204	81	32	returns	return	NOUN
ajst-19204	81	33	(	(	PUNCT
ajst-19204	81	34	in	in	ADP
ajst-19204	81	35	the	the	DET
ajst-19204	81	36	form	form	NOUN
ajst-19204	81	37	of	of	ADP
ajst-19204	81	38	programmable	programmable	ADJ
ajst-19204	81	39	formulae	formulae	NOUN
ajst-19204	81	40	)	)	PUNCT
ajst-19204	81	41	.	.	PUNCT
ajst-19204	82	1	based	base	VERB
ajst-19204	82	2	on	on	ADP
ajst-19204	82	3	historical	historical	ADJ
ajst-19204	82	4	sample	sample	NOUN
ajst-19204	82	5	data	datum	NOUN
ajst-19204	82	6	and	and	CCONJ
ajst-19204	82	7	statistical	statistical	ADJ
ajst-19204	82	8	methods	method	NOUN
ajst-19204	82	9	,	,	PUNCT
ajst-19204	82	10	the	the	DET
ajst-19204	82	11	model	model	NOUN
ajst-19204	82	12	is	be	AUX
ajst-19204	82	13	statistically	statistically	ADV
ajst-19204	82	14	tested	test	VERB
ajst-19204	82	15	and	and	CCONJ
ajst-19204	82	16	parameter	parameter	NOUN
ajst-19204	82	17	estimated	estimate	VERB
ajst-19204	82	18	(	(	PUNCT
ajst-19204	82	19	if	if	SCONJ
ajst-19204	82	20	necessary	necessary	ADJ
ajst-19204	82	21	)	)	PUNCT
ajst-19204	82	22	to	to	PART
ajst-19204	82	23	obtain	obtain	VERB
ajst-19204	82	24	a	a	DET
ajst-19204	82	25	usable	usable	ADJ
ajst-19204	82	26	model	model	NOUN
ajst-19204	82	27	(	(	PUNCT
ajst-19204	82	28	functional	functional	ADJ
ajst-19204	82	29	formulas	formula	NOUN
ajst-19204	82	30	)	)	PUNCT
ajst-19204	82	31	.	.	PUNCT
ajst-19204	83	1	the	the	DET
ajst-19204	83	2	author	author	NOUN
ajst-19204	83	3	of	of	ADP
ajst-19204	83	4	this	this	DET
ajst-19204	83	5	article	article	NOUN
ajst-19204	83	6	collected	collect	VERB
ajst-19204	83	7	data	datum	NOUN
ajst-19204	83	8	samples	sample	NOUN
ajst-19204	83	9	needed	need	VERB
ajst-19204	83	10	for	for	ADP
ajst-19204	83	11	robots	robot	NOUN
ajst-19204	83	12	,	,	PUNCT
ajst-19204	83	13	made	make	VERB
ajst-19204	83	14	predictions	prediction	NOUN
ajst-19204	83	15	on	on	ADP
ajst-19204	83	16	posture	posture	NOUN
ajst-19204	83	17	,	,	PUNCT
ajst-19204	83	18	and	and	CCONJ
ajst-19204	83	19	used	use	VERB
ajst-19204	83	20	a	a	DET
ajst-19204	83	21	2d	2d	NUM
ajst-19204	83	22	convolutional	convolutional	ADJ
ajst-19204	83	23	neural	neural	ADJ
ajst-19204	83	24	network	network	NOUN
ajst-19204	83	25	model	model	NOUN
ajst-19204	83	26	that	that	PRON
ajst-19204	83	27	can	can	AUX
ajst-19204	83	28	be	be	AUX
ajst-19204	83	29	referenced	reference	VERB
ajst-19204	83	30	to	to	PART
ajst-19204	83	31	solve	solve	VERB
ajst-19204	83	32	the	the	DET
ajst-19204	83	33	prediction	prediction	NOUN
ajst-19204	83	34	and	and	CCONJ
ajst-19204	83	35	analysis	analysis	NOUN
ajst-19204	83	36	of	of	ADP
ajst-19204	83	37	credit	credit	NOUN
ajst-19204	83	38	risk[5].in	risk[5].in	PROPN
ajst-19204	83	39	real	real	ADJ
ajst-19204	83	40	trading	trading	NOUN
ajst-19204	83	41	,	,	PUNCT
ajst-19204	83	42	current	current	ADJ
ajst-19204	83	43	data	datum	NOUN
ajst-19204	83	44	is	be	AUX
ajst-19204	83	45	used	use	VERB
ajst-19204	83	46	as	as	ADP
ajst-19204	83	47	the	the	DET
ajst-19204	83	48	input	input	NOUN
ajst-19204	83	49	to	to	ADP
ajst-19204	83	50	the	the	DET
ajst-19204	83	51	model	model	NOUN
ajst-19204	83	52	and	and	CCONJ
ajst-19204	83	53	the	the	DET
ajst-19204	83	54	model	model	NOUN
ajst-19204	83	55	result	result	NOUN
ajst-19204	83	56	is	be	AUX
ajst-19204	83	57	calculated	calculate	VERB
ajst-19204	83	58	by	by	ADP
ajst-19204	83	59	the	the	DET
ajst-19204	83	60	functional	functional	ADJ
ajst-19204	83	61	formula	formula	NOUN
ajst-19204	83	62	and	and	CCONJ
ajst-19204	83	63	the	the	DET
ajst-19204	83	64	investment	investment	NOUN
ajst-19204	83	65	decision	decision	NOUN
ajst-19204	83	66	is	be	AUX
ajst-19204	83	67	made	make	VERB
ajst-19204	83	68	on	on	ADP
ajst-19204	83	69	this	this	DET
ajst-19204	83	70	basis	basis	NOUN
ajst-19204	83	71	.	.	PUNCT
ajst-19204	84	1	in	in	ADP
ajst-19204	84	2	contrast	contrast	NOUN
ajst-19204	84	3	,	,	PUNCT
ajst-19204	84	4	in	in	ADP
ajst-19204	84	5	the	the	DET
ajst-19204	84	6	quantitative	quantitative	ADJ
ajst-19204	84	7	strategy	strategy	NOUN
ajst-19204	84	8	of	of	ADP
ajst-19204	84	9	machine	machine	NOUN
ajst-19204	84	10	learning	learning	NOUN
ajst-19204	84	11	,	,	PUNCT
ajst-19204	84	12	the	the	DET
ajst-19204	84	13	relationship	relationship	NOUN
ajst-19204	84	14	between	between	ADP
ajst-19204	84	15	variables	variable	NOUN
ajst-19204	84	16	is	be	AUX
ajst-19204	84	17	not	not	PART
ajst-19204	84	18	strictly	strictly	ADV
ajst-19204	84	19	defined	define	VERB
ajst-19204	84	20	in	in	ADP
ajst-19204	84	21	advance	advance	NOUN
ajst-19204	84	22	,	,	PUNCT
ajst-19204	84	23	but	but	CCONJ
ajst-19204	84	24	the	the	DET
ajst-19204	84	25	optimal	optimal	ADJ
ajst-19204	84	26	model	model	NOUN
ajst-19204	84	27	is	be	AUX
ajst-19204	84	28	obtained	obtain	VERB
ajst-19204	84	29	under	under	ADP
ajst-19204	84	30	the	the	DET
ajst-19204	84	31	algorithm	algorithm	NOUN
ajst-19204	84	32	and	and	CCONJ
ajst-19204	84	33	data	datum	NOUN
ajst-19204	84	34	drive	drive	NOUN
ajst-19204	84	35	.	.	PUNCT
ajst-19204	85	1	first	first	ADV
ajst-19204	85	2	,	,	PUNCT
ajst-19204	85	3	it	it	PRON
ajst-19204	85	4	is	be	AUX
ajst-19204	85	5	necessary	necessary	ADJ
ajst-19204	85	6	to	to	AUX
ajst-19204	85	7	pre	pre	VERB
ajst-19204	85	8	-	-	VERB
ajst-19204	85	9	process	process	VERB
ajst-19204	85	10	the	the	DET
ajst-19204	85	11	historical	historical	ADJ
ajst-19204	85	12	sample	sample	NOUN
ajst-19204	85	13	data	datum	NOUN
ajst-19204	85	14	to	to	PART
ajst-19204	85	15	extract	extract	VERB
ajst-19204	85	16	the	the	DET
ajst-19204	85	17	feature	feature	NOUN
ajst-19204	85	18	data	datum	NOUN
ajst-19204	85	19	,	,	PUNCT
ajst-19204	85	20	and	and	CCONJ
ajst-19204	85	21	then	then	ADV
ajst-19204	85	22	select	select	VERB
ajst-19204	85	23	the	the	DET
ajst-19204	85	24	appropriate	appropriate	ADJ
ajst-19204	85	25	algorithm	algorithm	NOUN
ajst-19204	85	26	model	model	NOUN
ajst-19204	85	27	and	and	CCONJ
ajst-19204	85	28	train	train	VERB
ajst-19204	85	29	the	the	DET
ajst-19204	85	30	algorithm	algorithm	NOUN
ajst-19204	85	31	model	model	NOUN
ajst-19204	85	32	with	with	ADP
ajst-19204	85	33	the	the	DET
ajst-19204	85	34	feature	feature	NOUN
ajst-19204	85	35	data	datum	NOUN
ajst-19204	85	36	until	until	SCONJ
ajst-19204	85	37	the	the	DET
ajst-19204	85	38	optimal	optimal	ADJ
ajst-19204	85	39	prediction	prediction	NOUN
ajst-19204	85	40	algorithm	algorithm	NOUN
ajst-19204	85	41	is	be	AUX
ajst-19204	85	42	obtained	obtain	VERB
ajst-19204	85	43	.	.	PUNCT
ajst-19204	86	1	in	in	ADP
ajst-19204	86	2	real	real	ADJ
ajst-19204	86	3	trading	trading	NOUN
ajst-19204	86	4	,	,	PUNCT
ajst-19204	86	5	the	the	DET
ajst-19204	86	6	characteristic	characteristic	ADJ
ajst-19204	86	7	value	value	NOUN
ajst-19204	86	8	of	of	ADP
ajst-19204	86	9	the	the	DET
ajst-19204	86	10	current	current	ADJ
ajst-19204	86	11	data	data	NOUN
ajst-19204	86	12	is	be	AUX
ajst-19204	86	13	input	input	NOUN
ajst-19204	86	14	as	as	ADP
ajst-19204	86	15	the	the	DET
ajst-19204	86	16	algorithm	algorithm	NOUN
ajst-19204	86	17	model	model	NOUN
ajst-19204	86	18	,	,	PUNCT
ajst-19204	86	19	and	and	CCONJ
ajst-19204	86	20	the	the	DET
ajst-19204	86	21	model	model	NOUN
ajst-19204	86	22	result	result	NOUN
ajst-19204	86	23	is	be	AUX
ajst-19204	86	24	obtained	obtain	VERB
ajst-19204	86	25	by	by	ADP
ajst-19204	86	26	the	the	DET
ajst-19204	86	27	algorithm	algorithm	NOUN
ajst-19204	86	28	model	model	NOUN
ajst-19204	86	29	,	,	PUNCT
ajst-19204	86	30	and	and	CCONJ
ajst-19204	86	31	the	the	DET
ajst-19204	86	32	investment	investment	NOUN
ajst-19204	86	33	decision	decision	NOUN
ajst-19204	86	34	is	be	AUX
ajst-19204	86	35	made	make	VERB
ajst-19204	86	36	on	on	ADP
ajst-19204	86	37	this	this	DET
ajst-19204	86	38	basis	basis	NOUN
ajst-19204	86	39	.	.	PUNCT
ajst-19204	87	1	in	in	ADP
ajst-19204	87	2	machine	machine	NOUN
ajst-19204	87	3	learning	learn	VERB
ajst-19204	87	4	supervised	supervised	ADJ
ajst-19204	87	5	learning	learning	NOUN
ajst-19204	87	6	,	,	PUNCT
ajst-19204	87	7	the	the	DET
ajst-19204	87	8	training	training	NOUN
ajst-19204	87	9	sample	sample	NOUN
ajst-19204	87	10	has	have	AUX
ajst-19204	87	11	explicit	explicit	ADJ
ajst-19204	87	12	independent	independent	ADJ
ajst-19204	87	13	/	/	SYM
ajst-19204	87	14	explanatory	explanatory	ADJ
ajst-19204	87	15	variables	variable	NOUN
ajst-19204	87	16	(	(	PUNCT
ajst-19204	87	17	input	input	NOUN
ajst-19204	87	18	)	)	PUNCT
ajst-19204	87	19	and	and	CCONJ
ajst-19204	87	20	label	label	NOUN
ajst-19204	87	21	/	/	SYM
ajst-19204	87	22	dependent	dependent	ADJ
ajst-19204	87	23	variable	variable	NOUN
ajst-19204	87	24	/	/	SYM
ajst-19204	87	25	explained	explain	VERB
ajst-19204	87	26	variable	variable	NOUN
ajst-19204	87	27	/	/	SYM
ajst-19204	87	28	predicted	predict	VERB
ajst-19204	87	29	[	[	X
ajst-19204	87	30	6]variable	6]variable	ADJ
ajst-19204	87	31	(	(	PUNCT
ajst-19204	87	32	output	output	NOUN
ajst-19204	87	33	)	)	PUNCT
ajst-19204	87	34	,	,	PUNCT
ajst-19204	87	35	and	and	CCONJ
ajst-19204	87	36	the	the	DET
ajst-19204	87	37	task	task	NOUN
ajst-19204	87	38	is	be	AUX
ajst-19204	87	39	to	to	PART
ajst-19204	87	40	predict	predict	VERB
ajst-19204	87	41	the	the	DET
ajst-19204	87	42	category	category	NOUN
ajst-19204	87	43	or	or	CCONJ
ajst-19204	87	44	value	value	NOUN
ajst-19204	87	45	of	of	ADP
ajst-19204	87	46	the	the	DET
ajst-19204	87	47	label	label	NOUN
ajst-19204	87	48	from	from	ADP
ajst-19204	87	49	the	the	DET
ajst-19204	87	50	data	datum	NOUN
ajst-19204	87	51	of	of	ADP
ajst-19204	87	52	the	the	DET
ajst-19204	87	53	explanatory	explanatory	ADJ
ajst-19204	87	54	variable	variable	NOUN
ajst-19204	87	55	.	.	PUNCT
ajst-19204	88	1	supervised	supervised	ADJ
ajst-19204	88	2	learning	learning	NOUN
ajst-19204	88	3	can	can	AUX
ajst-19204	88	4	be	be	AUX
ajst-19204	88	5	divided	divide	VERB
ajst-19204	88	6	into	into	ADP
ajst-19204	88	7	classification	classification	NOUN
ajst-19204	88	8	and	and	CCONJ
ajst-19204	88	9	regression	regression	NOUN
ajst-19204	88	10	.	.	PUNCT
ajst-19204	89	1	when	when	SCONJ
ajst-19204	89	2	the	the	DET
ajst-19204	89	3	training	training	NOUN
ajst-19204	89	4	sample	sample	NOUN
ajst-19204	89	5	is	be	AUX
ajst-19204	89	6	labelled	label	VERB
ajst-19204	89	7	with	with	ADP
ajst-19204	89	8	a	a	DET
ajst-19204	89	9	category	category	NOUN
ajst-19204	89	10	,	,	PUNCT
ajst-19204	89	11	it	it	PRON
ajst-19204	89	12	is	be	AUX
ajst-19204	89	13	a	a	DET
ajst-19204	89	14	classification	classification	NOUN
ajst-19204	89	15	task	task	NOUN
ajst-19204	89	16	.	.	PUNCT
ajst-19204	90	1	if	if	SCONJ
ajst-19204	90	2	the	the	DET
ajst-19204	90	3	training	training	NOUN
ajst-19204	90	4	sample	sample	NOUN
ajst-19204	90	5	is	be	AUX
ajst-19204	90	6	the	the	DET
ajst-19204	90	7	label	label	NOUN
ajst-19204	90	8	value	value	NOUN
ajst-19204	90	9	,	,	PUNCT
ajst-19204	90	10	it	it	PRON
ajst-19204	90	11	is	be	AUX
ajst-19204	90	12	a	a	DET
ajst-19204	90	13	regression	regression	NOUN
ajst-19204	90	14	task	task	NOUN
ajst-19204	90	15	.	.	PUNCT
ajst-19204	91	1	in	in	ADP
ajst-19204	91	2	quantitative	quantitative	ADJ
ajst-19204	91	3	investing	investing	NOUN
ajst-19204	91	4	,	,	PUNCT
ajst-19204	91	5	classification	classification	NOUN
ajst-19204	91	6	tasks	task	NOUN
ajst-19204	91	7	can	can	AUX
ajst-19204	91	8	be	be	AUX
ajst-19204	91	9	used	use	VERB
ajst-19204	91	10	to	to	PART
ajst-19204	91	11	predict	predict	VERB
ajst-19204	91	12	or	or	CCONJ
ajst-19204	91	13	explain	explain	VERB
ajst-19204	91	14	the	the	DET
ajst-19204	91	15	direction	direction	NOUN
ajst-19204	91	16	of	of	ADP
ajst-19204	91	17	change	change	NOUN
ajst-19204	91	18	(	(	PUNCT
ajst-19204	91	19	up	up	ADV
ajst-19204	91	20	or	or	CCONJ
ajst-19204	91	21	down	down	ADP
ajst-19204	91	22	)	)	PUNCT
ajst-19204	91	23	,	,	PUNCT
ajst-19204	91	24	the	the	DET
ajst-19204	91	25	state	state	NOUN
ajst-19204	91	26	of	of	ADP
ajst-19204	91	27	volatility	volatility	NOUN
ajst-19204	91	28	(	(	PUNCT
ajst-19204	91	29	high	high	ADJ
ajst-19204	91	30	volatility	volatility	NOUN
ajst-19204	91	31	,	,	PUNCT
ajst-19204	91	32	medium	medium	ADJ
ajst-19204	91	33	volatility	volatility	NOUN
ajst-19204	91	34	,	,	PUNCT
ajst-19204	91	35	low	low	ADJ
ajst-19204	91	36	volatility	volatility	NOUN
ajst-19204	91	37	)	)	PUNCT
ajst-19204	91	38	,	,	PUNCT
ajst-19204	91	39	the	the	DET
ajst-19204	91	40	pattern	pattern	NOUN
ajst-19204	91	41	of	of	ADP
ajst-19204	91	42	volatility	volatility	NOUN
ajst-19204	91	43	(	(	PUNCT
ajst-19204	91	44	trend	trend	NOUN
ajst-19204	91	45	or	or	CCONJ
ajst-19204	91	46	oscillation	oscillation	NOUN
ajst-19204	91	47	)	)	PUNCT
ajst-19204	91	48	,	,	PUNCT
ajst-19204	91	49	the	the	DET
ajst-19204	91	50	position	position	NOUN
ajst-19204	91	51	of	of	ADP
ajst-19204	91	52	the	the	DET
ajst-19204	91	53	cycle	cycle	NOUN
ajst-19204	91	54	(	(	PUNCT
ajst-19204	91	55	boom	boom	NOUN
ajst-19204	91	56	,	,	PUNCT
ajst-19204	91	57	recession	recession	NOUN
ajst-19204	91	58	,	,	PUNCT
ajst-19204	91	59	depression	depression	NOUN
ajst-19204	91	60	,	,	PUNCT
ajst-19204	91	61	recovery	recovery	NOUN
ajst-19204	91	62	)	)	PUNCT
ajst-19204	91	63	,	,	PUNCT
ajst-19204	91	64	etc	etc	X
ajst-19204	91	65	.	.	X
ajst-19204	91	66	common	common	ADJ
ajst-19204	91	67	classification	classification	NOUN
ajst-19204	91	68	algorithms	algorithm	NOUN
ajst-19204	91	69	include	include	VERB
ajst-19204	91	70	logistic	logistic	ADJ
ajst-19204	91	71	regression	regression	NOUN
ajst-19204	91	72	,	,	PUNCT
ajst-19204	91	73	decision	decision	NOUN
ajst-19204	91	74	tree	tree	NOUN
ajst-19204	91	75	,	,	PUNCT
ajst-19204	91	76	support	support	VERB
ajst-19204	91	77	vector	vector	NOUN
ajst-19204	91	78	machine	machine	NOUN
ajst-19204	91	79	,	,	PUNCT
ajst-19204	91	80	hidden	hide	VERB
ajst-19204	91	81	markov	markov	NOUN
ajst-19204	91	82	model	model	NOUN
ajst-19204	91	83	,	,	PUNCT
ajst-19204	91	84	neural	neural	ADJ
ajst-19204	91	85	network	network	NOUN
ajst-19204	91	86	,	,	PUNCT
ajst-19204	91	87	etc	etc	X
ajst-19204	91	88	.	.	X
ajst-19204	92	1	if	if	SCONJ
ajst-19204	92	2	we	we	PRON
ajst-19204	92	3	can	can	AUX
ajst-19204	92	4	apply	apply	VERB
ajst-19204	92	5	the	the	DET
ajst-19204	92	6	aforementioned	aforementioned	ADJ
ajst-19204	92	7	algorithms	algorithm	NOUN
ajst-19204	92	8	and	and	CCONJ
ajst-19204	92	9	models	model	NOUN
ajst-19204	92	10	to	to	ADP
ajst-19204	92	11	quantitative	quantitative	ADJ
ajst-19204	92	12	analysis	analysis	NOUN
ajst-19204	92	13	,	,	PUNCT
ajst-19204	92	14	the	the	DET
ajst-19204	92	15	credit	credit	NOUN
ajst-19204	92	16	risk	risk	NOUN
ajst-19204	92	17	analysis	analysis	NOUN
ajst-19204	92	18	model	model	NOUN
ajst-19204	92	19	can	can	AUX
ajst-19204	92	20	be	be	AUX
ajst-19204	92	21	further	far	ADV
ajst-19204	92	22	optimized[7	optimized[7	ADV
ajst-19204	92	23	]	]	PUNCT
ajst-19204	92	24	.	.	PUNCT
ajst-19204	93	1	the	the	DET
ajst-19204	93	2	limitations	limitation	NOUN
ajst-19204	93	3	of	of	ADP
ajst-19204	93	4	the	the	DET
ajst-19204	93	5	classification	classification	NOUN
ajst-19204	93	6	task	task	NOUN
ajst-19204	93	7	are	be	AUX
ajst-19204	93	8	that	that	SCONJ
ajst-19204	93	9	category	category	NOUN
ajst-19204	93	10	distinctions	distinction	NOUN
ajst-19204	93	11	can	can	AUX
ajst-19204	93	12	sometimes	sometimes	ADV
ajst-19204	93	13	be	be	AUX
ajst-19204	93	14	arbitrary	arbitrary	ADJ
ajst-19204	93	15	(	(	PUNCT
ajst-19204	93	16	but	but	CCONJ
ajst-19204	93	17	can	can	AUX
ajst-19204	93	18	be	be	AUX
ajst-19204	93	19	used	use	VERB
ajst-19204	93	20	in	in	ADP
ajst-19204	93	21	conjunction	conjunction	NOUN
ajst-19204	93	22	with	with	ADP
ajst-19204	93	23	cluster	cluster	NOUN
ajst-19204	93	24	analysis	analysis	NOUN
ajst-19204	93	25	below	below	ADP
ajst-19204	93	26	)	)	PUNCT
ajst-19204	93	27	,	,	PUNCT
ajst-19204	93	28	and	and	CCONJ
ajst-19204	93	29	there	there	PRON
ajst-19204	93	30	is	be	VERB
ajst-19204	93	31	no	no	DET
ajst-19204	93	32	use	use	NOUN
ajst-19204	93	33	of	of	ADP
ajst-19204	93	34	numerical	numerical	ADJ
ajst-19204	93	35	size	size	NOUN
ajst-19204	93	36	information	information	NOUN
ajst-19204	93	37	in	in	ADP
ajst-19204	93	38	the	the	DET
ajst-19204	93	39	category	category	NOUN
ajst-19204	93	40	information.compared	information.compare	VERB
ajst-19204	93	41	to	to	ADP
ajst-19204	93	42	the	the	DET
ajst-19204	93	43	classification	classification	NOUN
ajst-19204	93	44	task	task	NOUN
ajst-19204	93	45	,	,	PUNCT
ajst-19204	93	46	the	the	DET
ajst-19204	93	47	regression	regression	NOUN
ajst-19204	93	48	task	task	NOUN
ajst-19204	93	49	can	can	AUX
ajst-19204	93	50	make	make	VERB
ajst-19204	93	51	better	well	ADJ
ajst-19204	93	52	use	use	NOUN
ajst-19204	93	53	of	of	ADP
ajst-19204	93	54	the	the	DET
ajst-19204	93	55	label	label	NOUN
ajst-19204	93	56	value	value	NOUN
ajst-19204	93	57	size	size	NOUN
ajst-19204	93	58	information	information	NOUN
ajst-19204	93	59	,	,	PUNCT
ajst-19204	93	60	and	and	CCONJ
ajst-19204	93	61	some	some	DET
ajst-19204	93	62	algorithms	algorithm	NOUN
ajst-19204	93	63	can	can	AUX
ajst-19204	93	64	predict	predict	VERB
ajst-19204	93	65	the	the	DET
ajst-19204	93	66	continuous	continuous	ADJ
ajst-19204	93	67	(	(	PUNCT
ajst-19204	93	68	real	real	ADJ
ajst-19204	93	69	)	)	PUNCT
ajst-19204	93	70	value	value	NOUN
ajst-19204	93	71	of	of	ADP
ajst-19204	93	72	the	the	DET
ajst-19204	93	73	explained	explain	VERB
ajst-19204	93	74	variable	variable	NOUN
ajst-19204	93	75	.	.	PUNCT
ajst-19204	94	1	in	in	ADP
ajst-19204	94	2	quantitative	quantitative	ADJ
ajst-19204	94	3	investment	investment	NOUN
ajst-19204	94	4	,	,	PUNCT
ajst-19204	94	5	it	it	PRON
ajst-19204	94	6	can	can	AUX
ajst-19204	94	7	be	be	AUX
ajst-19204	94	8	used	use	VERB
ajst-19204	94	9	to	to	PART
ajst-19204	94	10	predict	predict	VERB
ajst-19204	94	11	the	the	DET
ajst-19204	94	12	return	return	NOUN
ajst-19204	94	13	of	of	ADP
ajst-19204	94	14	assets	asset	NOUN
ajst-19204	94	15	/	/	SYM
ajst-19204	94	16	factors	factor	NOUN
ajst-19204	94	17	,	,	PUNCT
ajst-19204	94	18	the	the	DET
ajst-19204	94	19	sensitivity	sensitivity	NOUN
ajst-19204	94	20	of	of	ADP
ajst-19204	94	21	assets	asset	NOUN
ajst-19204	94	22	to	to	PART
ajst-19204	94	23	risk	risk	VERB
ajst-19204	94	24	factors	factor	NOUN
ajst-19204	94	25	,	,	PUNCT
ajst-19204	94	26	and	and	CCONJ
ajst-19204	94	27	to	to	PART
ajst-19204	94	28	estimate	estimate	VERB
ajst-19204	94	29	transaction	transaction	NOUN
ajst-19204	94	30	costs	cost	NOUN
ajst-19204	94	31	.	.	PUNCT
ajst-19204	95	1	compared	compare	VERB
ajst-19204	95	2	with	with	ADP
ajst-19204	95	3	traditional	traditional	ADJ
ajst-19204	95	4	quantitative	quantitative	ADJ
ajst-19204	95	5	strategies	strategy	NOUN
ajst-19204	95	6	,	,	PUNCT
ajst-19204	95	7	the	the	DET
ajst-19204	95	8	advantage	advantage	NOUN
ajst-19204	95	9	of	of	ADP
ajst-19204	95	10	machine	machine	NOUN
ajst-19204	95	11	learning	learning	NOUN
ajst-19204	95	12	strategies	strategy	NOUN
ajst-19204	95	13	is	be	AUX
ajst-19204	95	14	that	that	SCONJ
ajst-19204	95	15	they	they	PRON
ajst-19204	95	16	can	can	AUX
ajst-19204	95	17	overcome	overcome	VERB
ajst-19204	95	18	the	the	DET
ajst-19204	95	19	limitations	limitation	NOUN
ajst-19204	95	20	of	of	ADP
ajst-19204	95	21	human	human	ADJ
ajst-19204	95	22	cognitive	cognitive	ADJ
ajst-19204	95	23	ability	ability	NOUN
ajst-19204	95	24	and	and	CCONJ
ajst-19204	95	25	find	find	VERB
ajst-19204	95	26	high	high	ADJ
ajst-19204	95	27	-	-	PUNCT
ajst-19204	95	28	dimensional	dimensional	ADJ
ajst-19204	95	29	and	and	CCONJ
ajst-19204	95	30	non	non	ADJ
ajst-19204	95	31	-	-	ADJ
ajst-19204	95	32	linear	linear	ADJ
ajst-19204	95	33	potential	potential	ADJ
ajst-19204	95	34	complex	complex	ADJ
ajst-19204	95	35	relationships	relationship	NOUN
ajst-19204	95	36	in	in	ADP
ajst-19204	95	37	multi	multi	ADJ
ajst-19204	95	38	-	-	ADJ
ajst-19204	95	39	dimensional	dimensional	ADJ
ajst-19204	95	40	and	and	CCONJ
ajst-19204	95	41	large	large	ADJ
ajst-19204	95	42	-	-	PUNCT
ajst-19204	95	43	sample	sample	NOUN
ajst-19204	95	44	massive	massive	ADJ
ajst-19204	95	45	data	datum	NOUN
ajst-19204	95	46	.	.	PUNCT
ajst-19204	96	1	however	however	ADV
ajst-19204	96	2	,	,	PUNCT
ajst-19204	96	3	the	the	DET
ajst-19204	96	4	main	main	ADJ
ajst-19204	96	5	disadvantage	disadvantage	NOUN
ajst-19204	96	6	of	of	ADP
ajst-19204	96	7	machine	machine	NOUN
ajst-19204	96	8	learning	learning	NOUN
ajst-19204	96	9	is	be	AUX
ajst-19204	96	10	that	that	SCONJ
ajst-19204	96	11	,	,	PUNCT
ajst-19204	96	12	at	at	ADP
ajst-19204	96	13	this	this	DET
ajst-19204	96	14	stage	stage	NOUN
ajst-19204	96	15	,	,	PUNCT
ajst-19204	96	16	it	it	PRON
ajst-19204	96	17	can	can	AUX
ajst-19204	96	18	only	only	ADV
ajst-19204	96	19	use	use	VERB
ajst-19204	96	20	the	the	DET
ajst-19204	96	21	historical	historical	ADJ
ajst-19204	96	22	sample	sample	NOUN
ajst-19204	96	23	set	set	VERB
ajst-19204	96	24	related	relate	VERB
ajst-19204	96	25	to	to	ADP
ajst-19204	96	26	a	a	DET
ajst-19204	96	27	specific	specific	ADJ
ajst-19204	96	28	task	task	NOUN
ajst-19204	96	29	to	to	PART
ajst-19204	96	30	solve	solve	VERB
ajst-19204	96	31	a	a	DET
ajst-19204	96	32	specific	specific	ADJ
ajst-19204	96	33	task	task	NOUN
ajst-19204	96	34	,	,	PUNCT
ajst-19204	96	35	and	and	CCONJ
ajst-19204	96	36	it	it	PRON
ajst-19204	96	37	can	can	AUX
ajst-19204	96	38	not	not	PART
ajst-19204	96	39	comprehensively	comprehensively	ADV
ajst-19204	96	40	use	use	VERB
ajst-19204	96	41	the	the	DET
ajst-19204	96	42	personal	personal	ADJ
ajst-19204	96	43	past	past	ADJ
ajst-19204	96	44	knowledge	knowledge	NOUN
ajst-19204	96	45	and	and	CCONJ
ajst-19204	96	46	experience	experience	NOUN
ajst-19204	96	47	(	(	PUNCT
ajst-19204	96	48	all	all	DET
ajst-19204	96	49	the	the	DET
ajst-19204	96	50	data	data	NOUN
ajst-19204	96	51	sets	set	NOUN
ajst-19204	96	52	of	of	ADP
ajst-19204	96	53	life	life	NOUN
ajst-19204	96	54	)	)	PUNCT
ajst-19204	96	55	like	like	ADP
ajst-19204	96	56	humans	human	NOUN
ajst-19204	96	57	,	,	PUNCT
ajst-19204	96	58	comprehensively	comprehensively	ADV
ajst-19204	96	59	play	play	VERB
ajst-19204	96	60	the	the	DET
ajst-19204	96	61	ability	ability	NOUN
ajst-19204	96	62	of	of	ADP
ajst-19204	96	63	association	association	NOUN
ajst-19204	96	64	,	,	PUNCT
ajst-19204	96	65	analogy	analogy	NOUN
ajst-19204	96	66	,	,	PUNCT
ajst-19204	96	67	induction	induction	NOUN
ajst-19204	96	68	,	,	PUNCT
ajst-19204	96	69	deduction	deduction	NOUN
ajst-19204	96	70	,	,	PUNCT
ajst-19204	96	71	etc	etc	X
ajst-19204	96	72	.	.	X
ajst-19204	96	73	,	,	PUNCT
ajst-19204	96	74	and	and	CCONJ
ajst-19204	96	75	propose	propose	VERB
ajst-19204	96	76	reasonable	reasonable	ADJ
ajst-19204	96	77	hypotheses	hypothesis	NOUN
ajst-19204	96	78	and	and	CCONJ
ajst-19204	96	79	solutions	solution	NOUN
ajst-19204	96	80	based	base	VERB
ajst-19204	96	81	on	on	ADP
ajst-19204	96	82	no	no	DET
ajst-19204	96	83	samples	sample	NOUN
ajst-19204	96	84	or	or	CCONJ
ajst-19204	96	85	small	small	ADJ
ajst-19204	96	86	samples	sample	NOUN
ajst-19204	96	87	of	of	ADP
ajst-19204	96	88	a	a	DET
ajst-19204	96	89	specific	specific	ADJ
ajst-19204	96	90	task	task	NOUN
ajst-19204	96	91	.	.	PUNCT
ajst-19204	97	1	in	in	ADP
ajst-19204	97	2	the	the	DET
ajst-19204	97	3	field	field	NOUN
ajst-19204	97	4	of	of	ADP
ajst-19204	97	5	quantitative	quantitative	ADJ
ajst-19204	97	6	investment	investment	NOUN
ajst-19204	97	7	,	,	PUNCT
ajst-19204	97	8	the	the	DET
ajst-19204	97	9	use	use	NOUN
ajst-19204	97	10	of	of	ADP
ajst-19204	97	11	machine	machine	NOUN
ajst-19204	97	12	learning	learn	VERB
ajst-19204	97	13	technology	technology	NOUN
ajst-19204	97	14	under	under	ADP
ajst-19204	97	15	certain	certain	ADJ
ajst-19204	97	16	conditions	condition	NOUN
ajst-19204	97	17	can	can	AUX
ajst-19204	97	18	better	well	ADV
ajst-19204	97	19	complete	complete	VERB
ajst-19204	97	20	the	the	DET
ajst-19204	97	21	tasks	task	NOUN
ajst-19204	97	22	of	of	ADP
ajst-19204	97	23	asset	asset	NOUN
ajst-19204	97	24	return	return	NOUN
ajst-19204	97	25	forecasting	forecasting	NOUN
ajst-19204	97	26	,	,	PUNCT
ajst-19204	97	27	risk	risk	NOUN
ajst-19204	97	28	modelling	modelling	NOUN
ajst-19204	97	29	,	,	PUNCT
ajst-19204	97	30	portfolio	portfolio	NOUN
ajst-19204	97	31	optimization	optimization	NOUN
ajst-19204	97	32	,	,	PUNCT
ajst-19204	97	33	algorithmic	algorithmic	ADJ
ajst-19204	97	34	trading	trading	NOUN
ajst-19204	97	35	and	and	CCONJ
ajst-19204	97	36	other	other	ADJ
ajst-19204	97	37	tasks	task	NOUN
ajst-19204	97	38	.	.	PUNCT
ajst-19204	98	1	however	however	ADV
ajst-19204	98	2	,	,	PUNCT
ajst-19204	98	3	at	at	ADP
ajst-19204	98	4	this	this	DET
ajst-19204	98	5	stage	stage	NOUN
ajst-19204	98	6	,	,	PUNCT
ajst-19204	98	7	with	with	ADP
ajst-19204	98	8	the	the	DET
ajst-19204	98	9	exception	exception	NOUN
ajst-19204	98	10	of	of	ADP
ajst-19204	98	11	highfrequency	highfrequency	NOUN
ajst-19204	98	12	strategies	strategy	NOUN
ajst-19204	98	13	,	,	PUNCT
ajst-19204	98	14	it	it	PRON
ajst-19204	98	15	is	be	AUX
ajst-19204	98	16	difficult	difficult	ADJ
ajst-19204	98	17	to	to	PART
ajst-19204	98	18	fully	fully	ADV
ajst-19204	98	19	construct	construct	VERB
ajst-19204	98	20	quantitative	quantitative	ADJ
ajst-19204	98	21	investment	investment	NOUN
ajst-19204	98	22	strategies	strategy	NOUN
ajst-19204	98	23	by	by	ADP
ajst-19204	98	24	machines	machine	NOUN
ajst-19204	98	25	instead	instead	ADV
ajst-19204	98	26	of	of	ADP
ajst-19204	98	27	humans	human	NOUN
ajst-19204	98	28	due	due	ADP
ajst-19204	98	29	to	to	ADP
ajst-19204	98	30	sample	sample	NOUN
ajst-19204	98	31	size	size	NOUN
ajst-19204	98	32	limitations	limitation	NOUN
ajst-19204	98	33	.	.	PUNCT
ajst-19204	99	1	3	3	X
ajst-19204	99	2	.	.	X
ajst-19204	99	3	methodology	methodology	NOUN
ajst-19204	99	4	3.1	3.1	NUM
ajst-19204	99	5	.	.	PUNCT
ajst-19204	100	1	random	random	ADJ
ajst-19204	100	2	forest	forest	NOUN
ajst-19204	100	3	financial	financial	ADJ
ajst-19204	100	4	quantification	quantification	NOUN
ajst-19204	100	5	model	model	NOUN
ajst-19204	100	6	random	random	ADJ
ajst-19204	100	7	forest	forest	NOUN
ajst-19204	100	8	is	be	AUX
ajst-19204	100	9	a	a	DET
ajst-19204	100	10	machine	machine	NOUN
ajst-19204	100	11	algorithm	algorithm	NOUN
ajst-19204	100	12	based	base	VERB
ajst-19204	100	13	on	on	ADP
ajst-19204	100	14	statistical	statistical	ADJ
ajst-19204	100	15	learning	learning	NOUN
ajst-19204	100	16	theory	theory	NOUN
ajst-19204	100	17	.	.	PUNCT
ajst-19204	101	1	it	it	PRON
ajst-19204	101	2	can	can	AUX
ajst-19204	101	3	automatically	automatically	ADV
ajst-19204	101	4	analyze	analyze	VERB
ajst-19204	101	5	the	the	DET
ajst-19204	101	6	various	various	ADJ
ajst-19204	101	7	factors	factor	NOUN
ajst-19204	101	8	selected	select	VERB
ajst-19204	101	9	by	by	ADP
ajst-19204	101	10	investors	investor	NOUN
ajst-19204	101	11	in	in	ADP
ajst-19204	101	12	the	the	DET
ajst-19204	101	13	way	way	NOUN
ajst-19204	101	14	of	of	ADP
ajst-19204	101	15	machine	machine	NOUN
ajst-19204	101	16	training	training	NOUN
ajst-19204	101	17	,	,	PUNCT
ajst-19204	101	18	so	so	SCONJ
ajst-19204	101	19	as	as	SCONJ
ajst-19204	101	20	to	to	PART
ajst-19204	101	21	provide	provide	VERB
ajst-19204	101	22	investors	investor	NOUN
ajst-19204	101	23	with	with	ADP
ajst-19204	101	24	good	good	ADJ
ajst-19204	101	25	investment	investment	NOUN
ajst-19204	101	26	advice	advice	NOUN
ajst-19204	101	27	.	.	PUNCT
ajst-19204	102	1	is	be	AUX
ajst-19204	102	2	a	a	DET
ajst-19204	102	3	supervised	supervised	ADJ
ajst-19204	102	4	classification	classification	NOUN
ajst-19204	102	5	machine	machine	NOUN
ajst-19204	102	6	learning	learn	VERB
ajst-19204	102	7	algorithm	algorithm	NOUN
ajst-19204	102	8	that	that	PRON
ajst-19204	102	9	uses	use	VERB
ajst-19204	102	10	an	an	DET
ajst-19204	102	11	integrated	integrate	VERB
ajst-19204	102	12	approach	approach	NOUN
ajst-19204	102	13	.	.	PUNCT
ajst-19204	103	1	in	in	ADP
ajst-19204	103	2	short	short	ADJ
ajst-19204	103	3	,	,	PUNCT
ajst-19204	103	4	a	a	DET
ajst-19204	103	5	random	random	ADJ
ajst-19204	103	6	forest	forest	NOUN
ajst-19204	103	7	is	be	AUX
ajst-19204	103	8	made	make	VERB
ajst-19204	103	9	up	up	ADP
ajst-19204	103	10	of	of	ADP
ajst-19204	103	11	many	many	ADJ
ajst-19204	103	12	decision	decision	NOUN
ajst-19204	103	13	trees	tree	NOUN
ajst-19204	103	14	and	and	CCONJ
ajst-19204	103	15	helps	help	VERB
ajst-19204	103	16	solve	solve	VERB
ajst-19204	103	17	the	the	DET
ajst-19204	103	18	problem	problem	NOUN
ajst-19204	103	19	of	of	ADP
ajst-19204	103	20	overfitting	overfitte	VERB
ajst-19204	103	21	decision	decision	NOUN
ajst-19204	103	22	trees	tree	NOUN
ajst-19204	103	23	.	.	PUNCT
ajst-19204	104	1	these	these	DET
ajst-19204	104	2	decision	decision	NOUN
ajst-19204	104	3	trees	tree	NOUN
ajst-19204	104	4	are	be	AUX
ajst-19204	104	5	constructed	construct	VERB
ajst-19204	104	6	randomly	randomly	ADV
ajst-19204	104	7	by	by	ADP
ajst-19204	104	8	selecting	select	VERB
ajst-19204	104	9	random	random	ADJ
ajst-19204	104	10	features	feature	NOUN
ajst-19204	104	11	from	from	ADP
ajst-19204	104	12	a	a	DET
ajst-19204	104	13	given	give	VERB
ajst-19204	104	14	data	datum	NOUN
ajst-19204	104	15	set	set	VERB
ajst-19204	104	16	.	.	PUNCT
ajst-19204	105	1	[	[	X
ajst-19204	105	2	8	8	NUM
ajst-19204	105	3	-	-	NUM
ajst-19204	105	4	9]the	9]the	PRON
ajst-19204	105	5	random	random	ADJ
ajst-19204	105	6	forest	forest	NOUN
ajst-19204	105	7	makes	make	VERB
ajst-19204	105	8	a	a	DET
ajst-19204	105	9	decision	decision	NOUN
ajst-19204	105	10	or	or	CCONJ
ajst-19204	105	11	prediction	prediction	NOUN
ajst-19204	105	12	based	base	VERB
ajst-19204	105	13	on	on	ADP
ajst-19204	105	14	the	the	DET
ajst-19204	105	15	maximum	maximum	ADJ
ajst-19204	105	16	number	number	NOUN
ajst-19204	105	17	of	of	ADP
ajst-19204	105	18	votes	vote	NOUN
ajst-19204	105	19	received	receive	VERB
ajst-19204	105	20	from	from	ADP
ajst-19204	105	21	the	the	DET
ajst-19204	105	22	decision	decision	NOUN
ajst-19204	105	23	tree	tree	NOUN
ajst-19204	105	24	.	.	PUNCT
ajst-19204	106	1	the	the	DET
ajst-19204	106	2	result	result	NOUN
ajst-19204	106	3	of	of	ADP
ajst-19204	106	4	reaching	reach	VERB
ajst-19204	106	5	the	the	DET
ajst-19204	106	6	maximum	maximum	ADJ
ajst-19204	106	7	number	number	NOUN
ajst-19204	106	8	of	of	ADP
ajst-19204	106	9	decision	decision	NOUN
ajst-19204	106	10	trees	tree	NOUN
ajst-19204	106	11	is	be	AUX
ajst-19204	106	12	considered	consider	VERB
ajst-19204	106	13	the	the	DET
ajst-19204	106	14	final	final	ADJ
ajst-19204	106	15	result	result	NOUN
ajst-19204	106	16	by	by	ADP
ajst-19204	106	17	the	the	DET
ajst-19204	106	18	random	random	ADJ
ajst-19204	106	19	forest	forest	NOUN
ajst-19204	106	20	.	.	PUNCT
ajst-19204	107	1	the	the	DET
ajst-19204	107	2	implementation	implementation	NOUN
ajst-19204	107	3	principle	principle	NOUN
ajst-19204	107	4	is	be	AUX
ajst-19204	107	5	that	that	SCONJ
ajst-19204	107	6	a	a	DET
ajst-19204	107	7	random	random	ADJ
ajst-19204	107	8	forest	forest	NOUN
ajst-19204	107	9	is	be	AUX
ajst-19204	107	10	based	base	VERB
ajst-19204	107	11	on	on	ADP
ajst-19204	107	12	ensemble	ensemble	ADJ
ajst-19204	107	13	learning	learning	NOUN
ajst-19204	107	14	techniques	technique	NOUN
ajst-19204	107	15	and	and	CCONJ
ajst-19204	107	16	simply	simply	ADV
ajst-19204	107	17	represents	represent	VERB
ajst-19204	107	18	a	a	DET
ajst-19204	107	19	combination	combination	NOUN
ajst-19204	107	20	or	or	CCONJ
ajst-19204	107	21	set	set	NOUN
ajst-19204	107	22	,	,	PUNCT
ajst-19204	107	23	in	in	ADP
ajst-19204	107	24	this	this	DET
ajst-19204	107	25	case	case	NOUN
ajst-19204	107	26	it	it	PRON
ajst-19204	107	27	is	be	AUX
ajst-19204	107	28	a	a	DET
ajst-19204	107	29	collection	collection	NOUN
ajst-19204	107	30	of	of	ADP
ajst-19204	107	31	decision	decision	NOUN
ajst-19204	107	32	trees	tree	NOUN
ajst-19204	107	33	,	,	PUNCT
ajst-19204	107	34	together	together	ADV
ajst-19204	107	35	called	call	VERB
ajst-19204	107	36	a	a	DET
ajst-19204	107	37	random	random	ADJ
ajst-19204	107	38	forest	forest	NOUN
ajst-19204	107	39	.	.	PUNCT
ajst-19204	108	1	the	the	DET
ajst-19204	108	2	accuracy	accuracy	NOUN
ajst-19204	108	3	of	of	ADP
ajst-19204	108	4	the	the	DET
ajst-19204	108	5	ensemble	ensemble	ADJ
ajst-19204	108	6	model	model	NOUN
ajst-19204	108	7	is	be	AUX
ajst-19204	108	8	superior	superior	ADJ
ajst-19204	108	9	to	to	ADP
ajst-19204	108	10	the	the	DET
ajst-19204	108	11	accuracy	accuracy	NOUN
ajst-19204	108	12	of	of	ADP
ajst-19204	108	13	the	the	DET
ajst-19204	108	14	individual	individual	ADJ
ajst-19204	108	15	models	model	NOUN
ajst-19204	108	16	because	because	SCONJ
ajst-19204	108	17	it	it	PRON
ajst-19204	108	18	aggregates	aggregate	VERB
ajst-19204	108	19	the	the	DET
ajst-19204	108	20	results	result	NOUN
ajst-19204	108	21	of	of	ADP
ajst-19204	108	22	the	the	DET
ajst-19204	108	23	individual	individual	ADJ
ajst-19204	108	24	models	model	NOUN
ajst-19204	108	25	and	and	CCONJ
ajst-19204	108	26	provides	provide	VERB
ajst-19204	108	27	the	the	DET
ajst-19204	108	28	final	final	ADJ
ajst-19204	108	29	result	result	NOUN
ajst-19204	108	30	.	.	PUNCT
ajst-19204	109	1	(	(	PUNCT
ajst-19204	109	2	figure	figure	NOUN
ajst-19204	109	3	1	1	NUM
ajst-19204	109	4	)	)	PUNCT
ajst-19204	109	5	figure	figure	NOUN
ajst-19204	109	6	1	1	NUM
ajst-19204	109	7	.	.	PUNCT
ajst-19204	109	8	quantitative	quantitative	ADJ
ajst-19204	109	9	trading	trading	NOUN
ajst-19204	109	10	principle	principle	NOUN
ajst-19204	109	11	of	of	ADP
ajst-19204	109	12	random	random	ADJ
ajst-19204	109	13	forest	forest	NOUN
ajst-19204	109	14	finance	finance	NOUN
ajst-19204	109	15	293	293	NUM
ajst-19204	109	16	in	in	ADP
ajst-19204	109	17	figure	figure	NOUN
ajst-19204	109	18	1	1	NUM
ajst-19204	109	19	,	,	PUNCT
ajst-19204	109	20	we	we	PRON
ajst-19204	109	21	can	can	AUX
ajst-19204	109	22	observe	observe	VERB
ajst-19204	109	23	that	that	SCONJ
ajst-19204	109	24	each	each	DET
ajst-19204	109	25	decision	decision	NOUN
ajst-19204	109	26	tree	tree	NOUN
ajst-19204	109	27	has	have	AUX
ajst-19204	109	28	voted	vote	VERB
ajst-19204	109	29	or	or	CCONJ
ajst-19204	109	30	predicted	predict	VERB
ajst-19204	109	31	a	a	DET
ajst-19204	109	32	particular	particular	ADJ
ajst-19204	109	33	category	category	NOUN
ajst-19204	109	34	.	.	PUNCT
ajst-19204	110	1	[	[	X
ajst-19204	110	2	10]the	10]the	DET
ajst-19204	110	3	final	final	ADJ
ajst-19204	110	4	output	output	NOUN
ajst-19204	110	5	or	or	CCONJ
ajst-19204	110	6	category	category	NOUN
ajst-19204	110	7	of	of	ADP
ajst-19204	110	8	a	a	DET
ajst-19204	110	9	random	random	ADJ
ajst-19204	110	10	forest	forest	NOUN
ajst-19204	110	11	selection	selection	NOUN
ajst-19204	110	12	will	will	AUX
ajst-19204	110	13	be	be	AUX
ajst-19204	110	14	class	class	NOUN
ajst-19204	110	15	n	n	NOUN
ajst-19204	110	16	because	because	SCONJ
ajst-19204	110	17	it	it	PRON
ajst-19204	110	18	has	have	VERB
ajst-19204	110	19	either	either	CCONJ
ajst-19204	110	20	a	a	DET
ajst-19204	110	21	majority	majority	NOUN
ajst-19204	110	22	vote	vote	NOUN
ajst-19204	110	23	or	or	CCONJ
ajst-19204	110	24	two	two	NUM
ajst-19204	110	25	of	of	ADP
ajst-19204	110	26	the	the	DET
ajst-19204	110	27	four	four	NUM
ajst-19204	110	28	decision	decision	NOUN
ajst-19204	110	29	tree	tree	NOUN
ajst-19204	110	30	predictive	predictive	ADJ
ajst-19204	110	31	outputs	output	NOUN
ajst-19204	110	32	.	.	PUNCT
ajst-19204	111	1	there	there	PRON
ajst-19204	111	2	are	be	VERB
ajst-19204	111	3	three	three	NUM
ajst-19204	111	4	advantages	advantage	NOUN
ajst-19204	111	5	of	of	ADP
ajst-19204	111	6	random	random	ADJ
ajst-19204	111	7	forest	forest	NOUN
ajst-19204	111	8	financial	financial	ADJ
ajst-19204	111	9	quantification	quantification	NOUN
ajst-19204	111	10	,	,	PUNCT
ajst-19204	111	11	which	which	PRON
ajst-19204	111	12	are	be	AUX
ajst-19204	111	13	as	as	SCONJ
ajst-19204	111	14	follows	follow	VERB
ajst-19204	111	15	:	:	PUNCT
ajst-19204	111	16	first	first	ADJ
ajst-19204	111	17	,	,	PUNCT
ajst-19204	111	18	random	random	ADJ
ajst-19204	111	19	forests	forest	NOUN
ajst-19204	111	20	can	can	AUX
ajst-19204	111	21	be	be	AUX
ajst-19204	111	22	used	use	VERB
ajst-19204	111	23	for	for	ADP
ajst-19204	111	24	regression	regression	NOUN
ajst-19204	111	25	and	and	CCONJ
ajst-19204	111	26	classification	classification	NOUN
ajst-19204	111	27	tasks	task	NOUN
ajst-19204	111	28	,	,	PUNCT
ajst-19204	111	29	and	and	CCONJ
ajst-19204	111	30	it	it	PRON
ajst-19204	111	31	is	be	AUX
ajst-19204	111	32	easy	easy	ADJ
ajst-19204	111	33	to	to	PART
ajst-19204	111	34	see	see	VERB
ajst-19204	111	35	the	the	DET
ajst-19204	111	36	relative	relative	ADJ
ajst-19204	111	37	importance	importance	NOUN
ajst-19204	111	38	of	of	ADP
ajst-19204	111	39	the	the	DET
ajst-19204	111	40	model	model	NOUN
ajst-19204	111	41	's	's	PART
ajst-19204	111	42	input	input	NOUN
ajst-19204	111	43	features	feature	NOUN
ajst-19204	111	44	.	.	PUNCT
ajst-19204	112	1	second	second	ADJ
ajst-19204	112	2	,	,	PUNCT
ajst-19204	112	3	random	random	ADJ
ajst-19204	112	4	forest	forest	NOUN
ajst-19204	112	5	is	be	AUX
ajst-19204	112	6	a	a	PRON
ajst-19204	112	7	very	very	ADV
ajst-19204	112	8	convenient	convenient	ADJ
ajst-19204	112	9	and	and	CCONJ
ajst-19204	112	10	easy	easy	ADJ
ajst-19204	112	11	to	to	PART
ajst-19204	112	12	use	use	VERB
ajst-19204	112	13	algorithm	algorithm	NOUN
ajst-19204	112	14	because	because	SCONJ
ajst-19204	112	15	it	it	PRON
ajst-19204	112	16	produces	produce	VERB
ajst-19204	112	17	a	a	DET
ajst-19204	112	18	good	good	ADJ
ajst-19204	112	19	prediction	prediction	NOUN
ajst-19204	112	20	with	with	ADP
ajst-19204	112	21	default	default	NOUN
ajst-19204	112	22	parameters	parameter	NOUN
ajst-19204	112	23	.	.	PUNCT
ajst-19204	113	1	third	third	ADJ
ajst-19204	113	2	,	,	PUNCT
ajst-19204	113	3	a	a	DET
ajst-19204	113	4	big	big	ADJ
ajst-19204	113	5	problem	problem	NOUN
ajst-19204	113	6	in	in	ADP
ajst-19204	113	7	machine	machine	NOUN
ajst-19204	113	8	learning	learning	NOUN
ajst-19204	113	9	is	be	AUX
ajst-19204	113	10	overfitting	overfitte	VERB
ajst-19204	113	11	,	,	PUNCT
ajst-19204	113	12	but	but	CCONJ
ajst-19204	113	13	most	most	ADJ
ajst-19204	113	14	of	of	ADP
ajst-19204	113	15	the	the	DET
ajst-19204	113	16	time	time	NOUN
ajst-19204	113	17	random	random	ADJ
ajst-19204	113	18	forest	forest	NOUN
ajst-19204	113	19	classifiers	classifier	NOUN
ajst-19204	113	20	do	do	AUX
ajst-19204	113	21	n't	not	PART
ajst-19204	113	22	overfit	overfit	VERB
ajst-19204	113	23	because	because	SCONJ
ajst-19204	113	24	as	as	ADV
ajst-19204	113	25	long	long	ADV
ajst-19204	113	26	as	as	SCONJ
ajst-19204	113	27	there	there	PRON
ajst-19204	113	28	are	be	VERB
ajst-19204	113	29	enough	enough	ADJ
ajst-19204	113	30	trees	tree	NOUN
ajst-19204	113	31	in	in	ADP
ajst-19204	113	32	the	the	DET
ajst-19204	113	33	forest	forest	NOUN
ajst-19204	113	34	,	,	PUNCT
ajst-19204	113	35	the	the	DET
ajst-19204	113	36	classifier	classifier	NOUN
ajst-19204	113	37	wo	will	AUX
ajst-19204	113	38	n't	not	PART
ajst-19204	113	39	overfit	overfit	VERB
ajst-19204	113	40	the	the	DET
ajst-19204	113	41	model	model	NOUN
ajst-19204	113	42	.	.	PUNCT
ajst-19204	114	1	the	the	DET
ajst-19204	114	2	disadvantage	disadvantage	NOUN
ajst-19204	114	3	of	of	ADP
ajst-19204	114	4	random	random	ADJ
ajst-19204	114	5	forests	forest	NOUN
ajst-19204	114	6	is	be	AUX
ajst-19204	114	7	that	that	SCONJ
ajst-19204	114	8	using	use	VERB
ajst-19204	114	9	a	a	DET
ajst-19204	114	10	large	large	ADJ
ajst-19204	114	11	number	number	NOUN
ajst-19204	114	12	of	of	ADP
ajst-19204	114	13	trees	tree	NOUN
ajst-19204	114	14	makes	make	VERB
ajst-19204	114	15	the	the	DET
ajst-19204	114	16	algorithm	algorithm	NOUN
ajst-19204	114	17	slow	slow	VERB
ajst-19204	114	18	and	and	CCONJ
ajst-19204	114	19	can	can	AUX
ajst-19204	114	20	not	not	PART
ajst-19204	114	21	make	make	VERB
ajst-19204	114	22	real	real	ADJ
ajst-19204	114	23	-	-	PUNCT
ajst-19204	114	24	time	time	NOUN
ajst-19204	114	25	predictions.[11	predictions.[11	NOUN
ajst-19204	114	26	]	]	PUNCT
ajst-19204	114	27	in	in	ADP
ajst-19204	114	28	general	general	ADJ
ajst-19204	114	29	,	,	PUNCT
ajst-19204	114	30	these	these	DET
ajst-19204	114	31	algorithms	algorithm	NOUN
ajst-19204	114	32	are	be	AUX
ajst-19204	114	33	fast	fast	ADJ
ajst-19204	114	34	to	to	PART
ajst-19204	114	35	train	train	VERB
ajst-19204	114	36	and	and	CCONJ
ajst-19204	114	37	slow	slow	VERB
ajst-19204	114	38	to	to	PART
ajst-19204	114	39	predict	predict	VERB
ajst-19204	114	40	.	.	PUNCT
ajst-19204	115	1	and	and	CCONJ
ajst-19204	115	2	the	the	DET
ajst-19204	115	3	more	more	ADV
ajst-19204	115	4	accurate	accurate	ADJ
ajst-19204	115	5	the	the	DET
ajst-19204	115	6	prediction	prediction	NOUN
ajst-19204	115	7	,	,	PUNCT
ajst-19204	115	8	the	the	DET
ajst-19204	115	9	more	more	ADJ
ajst-19204	115	10	trees	tree	NOUN
ajst-19204	115	11	are	be	AUX
ajst-19204	115	12	needed	need	VERB
ajst-19204	115	13	,	,	PUNCT
ajst-19204	115	14	which	which	PRON
ajst-19204	115	15	results	result	VERB
ajst-19204	115	16	in	in	ADP
ajst-19204	115	17	a	a	DET
ajst-19204	115	18	slow	slow	ADJ
ajst-19204	115	19	model	model	NOUN
ajst-19204	115	20	.	.	PUNCT
ajst-19204	116	1	specific	specific	ADJ
ajst-19204	116	2	process	process	NOUN
ajst-19204	116	3	of	of	ADP
ajst-19204	116	4	feature	feature	NOUN
ajst-19204	116	5	importance	importance	NOUN
ajst-19204	116	6	calculation	calculation	NOUN
ajst-19204	116	7	:	:	PUNCT
ajst-19204	116	8	1	1	X
ajst-19204	116	9	.	.	PUNCT
ajst-19204	116	10	suppose	suppose	VERB
ajst-19204	116	11	that	that	SCONJ
ajst-19204	116	12	for	for	ADP
ajst-19204	116	13	some	some	DET
ajst-19204	116	14	feature	feature	NOUN
ajst-19204	116	15	x	x	NOUN
ajst-19204	116	16	,	,	PUNCT
ajst-19204	116	17	we	we	PRON
ajst-19204	116	18	build	build	VERB
ajst-19204	116	19	a	a	DET
ajst-19204	116	20	decision	decision	NOUN
ajst-19204	116	21	tree	tree	NOUN
ajst-19204	117	1	[	[	X
ajst-19204	117	2	12]t	12]t	NUM
ajst-19204	117	3	'	'	PUNCT
ajst-19204	117	4	using	use	VERB
ajst-19204	117	5	bagging	bagging	NOUN
ajst-19204	117	6	method	method	NOUN
ajst-19204	117	7	;	;	PUNCT
ajst-19204	117	8	2	2	X
ajst-19204	117	9	.	.	X
ajst-19204	117	10	then	then	ADV
ajst-19204	117	11	the	the	DET
ajst-19204	117	12	verification	verification	NOUN
ajst-19204	117	13	set	set	VERB
ajst-19204	117	14	corresponding	correspond	VERB
ajst-19204	117	15	to	to	ADP
ajst-19204	117	16	the	the	DET
ajst-19204	117	17	decision	decision	NOUN
ajst-19204	117	18	tree	tree	NOUN
ajst-19204	117	19	is	be	AUX
ajst-19204	117	20	used	use	VERB
ajst-19204	117	21	for	for	ADP
ajst-19204	117	22	classification	classification	NOUN
ajst-19204	117	23	detection	detection	NOUN
ajst-19204	117	24	,	,	PUNCT
ajst-19204	117	25	and	and	CCONJ
ajst-19204	117	26	the	the	DET
ajst-19204	117	27	correct	correct	ADJ
ajst-19204	117	28	classification	classification	NOUN
ajst-19204	117	29	number	number	NOUN
ajst-19204	117	30	xt	xt	PUNCT
ajst-19204	118	1	'	'	PUNCT
ajst-19204	118	2	3	3	NUM
ajst-19204	118	3	is	be	AUX
ajst-19204	118	4	obtained	obtain	VERB
ajst-19204	118	5	.	.	PUNCT
ajst-19204	119	1	the	the	DET
ajst-19204	119	2	data	datum	NOUN
ajst-19204	119	3	of	of	ADP
ajst-19204	119	4	the	the	DET
ajst-19204	119	5	verification	verification	NOUN
ajst-19204	119	6	set	set	NOUN
ajst-19204	119	7	is	be	AUX
ajst-19204	119	8	"	"	PUNCT
ajst-19204	119	9	randomly	randomly	ADV
ajst-19204	119	10	disturbed	disturbed	ADJ
ajst-19204	119	11	"	"	PUNCT
ajst-19204	119	12	,	,	PUNCT
ajst-19204	119	13	the	the	DET
ajst-19204	119	14	value	value	NOUN
ajst-19204	119	15	of	of	ADP
ajst-19204	119	16	x	x	PUNCT
ajst-19204	119	17	of	of	ADP
ajst-19204	119	18	the	the	DET
ajst-19204	119	19	set	set	NOUN
ajst-19204	119	20	is	be	AUX
ajst-19204	119	21	rich	rich	ADJ
ajst-19204	119	22	in	in	ADP
ajst-19204	119	23	the	the	DET
ajst-19204	119	24	new	new	ADJ
ajst-19204	119	25	value	value	NOUN
ajst-19204	119	26	taken	take	VERB
ajst-19204	119	27	at	at	ADP
ajst-19204	119	28	random	random	ADJ
ajst-19204	119	29	,	,	PUNCT
ajst-19204	119	30	and	and	CCONJ
ajst-19204	119	31	then	then	ADV
ajst-19204	119	32	t	t	PROPN
ajst-19204	119	33	is	be	AUX
ajst-19204	119	34	used	use	VERB
ajst-19204	119	35	to	to	PART
ajst-19204	119	36	classify	classify	VERB
ajst-19204	119	37	and	and	CCONJ
ajst-19204	119	38	detect	detect	VERB
ajst-19204	119	39	the	the	DET
ajst-19204	119	40	disturbed	disturbed	ADJ
ajst-19204	119	41	verification	verification	NOUN
ajst-19204	119	42	set	set	NOUN
ajst-19204	119	43	.	.	PUNCT
ajst-19204	120	1	at	at	ADP
ajst-19204	120	2	this	this	DET
ajst-19204	120	3	time	time	NOUN
ajst-19204	120	4	,	,	PUNCT
ajst-19204	120	5	the	the	DET
ajst-19204	120	6	correct	correct	ADJ
ajst-19204	120	7	classification	classification	NOUN
ajst-19204	120	8	number	number	NOUN
ajst-19204	120	9	is	be	AUX
ajst-19204	120	10	xt	xt	ADP
ajst-19204	120	11	'	'	PUNCT
ajst-19204	120	12	.	.	PUNCT
ajst-19204	121	1	4	4	X
ajst-19204	121	2	.	.	X
ajst-19204	121	3	the	the	DET
ajst-19204	121	4	importance	importance	NOUN
ajst-19204	121	5	of	of	ADP
ajst-19204	121	6	features	feature	NOUN
ajst-19204	121	7	is	be	AUX
ajst-19204	121	8	d=|xt'-xtl	d=|xt'-xtl	NOUN
ajst-19204	121	9	;	;	PUNCT
ajst-19204	121	10	(	(	PUNCT
ajst-19204	121	11	1	1	X
ajst-19204	121	12	)	)	PUNCT
ajst-19204	121	13	5	5	NUM
ajst-19204	121	14	.	.	X
ajst-19204	122	1	for	for	ADP
ajst-19204	122	2	n	n	PRON
ajst-19204	122	3	trees	tree	NOUN
ajst-19204	122	4	in	in	ADP
ajst-19204	122	5	the	the	DET
ajst-19204	122	6	random	random	ADJ
ajst-19204	122	7	forest	forest	NOUN
ajst-19204	122	8	,	,	PUNCT
ajst-19204	122	9	the	the	DET
ajst-19204	122	10	importance	importance	NOUN
ajst-19204	122	11	of	of	ADP
ajst-19204	122	12	n	n	NOUN
ajst-19204	122	13	x	x	VERB
ajst-19204	122	14	is	be	AUX
ajst-19204	122	15	obtained	obtain	VERB
ajst-19204	122	16	according	accord	VERB
ajst-19204	122	17	to	to	ADP
ajst-19204	122	18	the	the	DET
ajst-19204	122	19	above	above	ADJ
ajst-19204	122	20	operations	operation	NOUN
ajst-19204	122	21	,	,	PUNCT
ajst-19204	122	22	and	and	CCONJ
ajst-19204	122	23	the	the	DET
ajst-19204	122	24	mean	mean	ADJ
ajst-19204	122	25	value	value	NOUN
ajst-19204	122	26	is	be	AUX
ajst-19204	122	27	taken	take	VERB
ajst-19204	122	28	as	as	ADP
ajst-19204	122	29	the	the	DET
ajst-19204	122	30	importance	importance	NOUN
ajst-19204	122	31	measure	measure	NOUN
ajst-19204	122	32	of	of	ADP
ajst-19204	122	33	feature	feature	NOUN
ajst-19204	122	34	x	x	NOUN
ajst-19204	122	35	,	,	PUNCT
ajst-19204	122	36	that	that	ADV
ajst-19204	122	37	is	be	AUX
ajst-19204	122	38	d(x)=(d1+d2	d(x)=(d1+d2	PUNCT
ajst-19204	122	39	+	+	ADJ
ajst-19204	122	40	..	..	PUNCT
ajst-19204	122	41	dn)/n	dn)/n	NOUN
ajst-19204	122	42	,	,	PUNCT
ajst-19204	122	43	where	where	SCONJ
ajst-19204	122	44	di=|xt'i	di=|xt'i	NOUN
ajst-19204	122	45	-	-	PUNCT
ajst-19204	122	46	xtil	xtil	ADJ
ajst-19204	122	47	,	,	PUNCT
ajst-19204	122	48	i=1,2	i=1,2	ADJ
ajst-19204	122	49	...	...	PUNCT
ajst-19204	122	50	n.	n.	NOUN
ajst-19204	122	51	(	(	PUNCT
ajst-19204	122	52	2	2	NUM
ajst-19204	122	53	)	)	PUNCT
ajst-19204	122	54	6	6	NUM
ajst-19204	122	55	.	.	PUNCT
ajst-19204	123	1	in	in	ADP
ajst-19204	123	2	summary	summary	NOUN
ajst-19204	123	3	,	,	PUNCT
ajst-19204	123	4	to	to	PART
ajst-19204	123	5	judge	judge	VERB
ajst-19204	123	6	whether	whether	SCONJ
ajst-19204	123	7	an	an	DET
ajst-19204	123	8	attribute	attribute	NOUN
ajst-19204	123	9	is	be	AUX
ajst-19204	123	10	important	important	ADJ
ajst-19204	123	11	or	or	CCONJ
ajst-19204	123	12	not	not	PART
ajst-19204	123	13	is	be	AUX
ajst-19204	123	14	to	to	PART
ajst-19204	123	15	judge	judge	VERB
ajst-19204	123	16	the	the	DET
ajst-19204	123	17	extent	extent	NOUN
ajst-19204	123	18	to	to	PART
ajst-19204	123	19	which	which	PRON
ajst-19204	123	20	the	the	DET
ajst-19204	123	21	change	change	NOUN
ajst-19204	123	22	of	of	ADP
ajst-19204	123	23	its	its	PRON
ajst-19204	123	24	value	value	NOUN
ajst-19204	123	25	affects	affect	VERB
ajst-19204	123	26	the	the	DET
ajst-19204	123	27	result	result	NOUN
ajst-19204	123	28	;	;	PUNCT
ajst-19204	123	29	3.2	3.2	NUM
ajst-19204	123	30	.	.	PUNCT
ajst-19204	123	31	experimental	experimental	ADJ
ajst-19204	123	32	design	design	NOUN
ajst-19204	123	33	in	in	ADP
ajst-19204	123	34	the	the	DET
ajst-19204	123	35	financial	financial	ADJ
ajst-19204	123	36	field	field	NOUN
ajst-19204	123	37	,	,	PUNCT
ajst-19204	123	38	credit	credit	NOUN
ajst-19204	123	39	risk	risk	NOUN
ajst-19204	123	40	assessment	assessment	NOUN
ajst-19204	123	41	is	be	AUX
ajst-19204	123	42	a	a	DET
ajst-19204	123	43	crucial	crucial	ADJ
ajst-19204	123	44	task	task	NOUN
ajst-19204	123	45	,	,	PUNCT
ajst-19204	123	46	which	which	PRON
ajst-19204	123	47	involves	involve	VERB
ajst-19204	123	48	accurate	accurate	ADJ
ajst-19204	123	49	and	and	CCONJ
ajst-19204	123	50	reliable	reliable	ADJ
ajst-19204	123	51	prediction	prediction	NOUN
ajst-19204	123	52	of	of	ADP
ajst-19204	123	53	customers	customer	NOUN
ajst-19204	123	54	'	'	PART
ajst-19204	123	55	credit	credit	NOUN
ajst-19204	123	56	status	status	NOUN
ajst-19204	123	57	,	,	PUNCT
ajst-19204	123	58	so	so	SCONJ
ajst-19204	123	59	that	that	SCONJ
ajst-19204	123	60	financial	financial	ADJ
ajst-19204	123	61	institutions	institution	NOUN
ajst-19204	123	62	can	can	AUX
ajst-19204	123	63	make	make	VERB
ajst-19204	123	64	correct	correct	ADJ
ajst-19204	123	65	lending	lending	NOUN
ajst-19204	123	66	decisions	decision	NOUN
ajst-19204	123	67	.	.	PUNCT
ajst-19204	124	1	as	as	ADP
ajst-19204	124	2	a	a	DET
ajst-19204	124	3	powerful	powerful	ADJ
ajst-19204	124	4	machine	machine	NOUN
ajst-19204	124	5	learning	learning	NOUN
ajst-19204	124	6	algorithm	algorithm	NOUN
ajst-19204	124	7	,	,	PUNCT
ajst-19204	124	8	random	random	ADJ
ajst-19204	124	9	forest	forest	NOUN
ajst-19204	124	10	has	have	AUX
ajst-19204	124	11	shown	show	VERB
ajst-19204	124	12	obvious	obvious	ADJ
ajst-19204	124	13	advantages	advantage	NOUN
ajst-19204	124	14	in	in	ADP
ajst-19204	124	15	dealing	deal	VERB
ajst-19204	124	16	with	with	ADP
ajst-19204	124	17	credit	credit	NOUN
ajst-19204	124	18	risk	risk	NOUN
ajst-19204	124	19	prediction	prediction	NOUN
ajst-19204	124	20	problems	problem	NOUN
ajst-19204	124	21	.	.	PUNCT
ajst-19204	125	1	the	the	DET
ajst-19204	125	2	aim	aim	NOUN
ajst-19204	125	3	of	of	ADP
ajst-19204	125	4	this	this	DET
ajst-19204	125	5	experiment	experiment	NOUN
ajst-19204	125	6	is	be	AUX
ajst-19204	125	7	to	to	PART
ajst-19204	125	8	construct	construct	VERB
ajst-19204	125	9	a	a	DET
ajst-19204	125	10	credit	credit	NOUN
ajst-19204	125	11	risk	risk	NOUN
ajst-19204	125	12	prediction	prediction	NOUN
ajst-19204	125	13	model	model	NOUN
ajst-19204	125	14	through	through	ADP
ajst-19204	125	15	random	random	ADJ
ajst-19204	125	16	forest	forest	NOUN
ajst-19204	125	17	algorithm	algorithm	NOUN
ajst-19204	125	18	using	use	VERB
ajst-19204	125	19	a	a	DET
ajst-19204	125	20	data	data	NOUN
ajst-19204	125	21	set	set	VERB
ajst-19204	125	22	containing	contain	VERB
ajst-19204	125	23	multiple	multiple	ADJ
ajst-19204	125	24	features	feature	NOUN
ajst-19204	125	25	.	.	PUNCT
ajst-19204	126	1	the	the	DET
ajst-19204	126	2	data	datum	NOUN
ajst-19204	126	3	set	set	NOUN
ajst-19204	126	4	contains	contain	VERB
ajst-19204	126	5	a	a	DET
ajst-19204	126	6	number	number	NOUN
ajst-19204	126	7	of	of	ADP
ajst-19204	126	8	information	information	NOUN
ajst-19204	126	9	about	about	ADP
ajst-19204	126	10	the	the	DET
ajst-19204	126	11	customer	customer	NOUN
ajst-19204	126	12	,	,	PUNCT
ajst-19204	126	13	such	such	ADJ
ajst-19204	126	14	as	as	ADP
ajst-19204	126	15	financial	financial	ADJ
ajst-19204	126	16	status	status	NOUN
ajst-19204	126	17	,	,	PUNCT
ajst-19204	126	18	personal	personal	ADJ
ajst-19204	126	19	background	background	NOUN
ajst-19204	126	20	,	,	PUNCT
ajst-19204	126	21	loan	loan	NOUN
ajst-19204	126	22	purpose	purpose	NOUN
ajst-19204	126	23	,	,	PUNCT
ajst-19204	126	24	etc	etc	X
ajst-19204	126	25	.	.	X
ajst-19204	126	26	,	,	PUNCT
ajst-19204	126	27	which	which	PRON
ajst-19204	126	28	is	be	AUX
ajst-19204	126	29	crucial	crucial	ADJ
ajst-19204	126	30	to	to	ADP
ajst-19204	126	31	predicting	predict	VERB
ajst-19204	126	32	whether	whether	SCONJ
ajst-19204	126	33	the	the	DET
ajst-19204	126	34	customer	customer	NOUN
ajst-19204	126	35	is	be	AUX
ajst-19204	126	36	a	a	DET
ajst-19204	126	37	good	good	ADJ
ajst-19204	126	38	credit	credit	NOUN
ajst-19204	126	39	risk	risk	NOUN
ajst-19204	126	40	.	.	PUNCT
ajst-19204	127	1	in	in	ADP
ajst-19204	127	2	the	the	DET
ajst-19204	127	3	experiment	experiment	NOUN
ajst-19204	127	4	,	,	PUNCT
ajst-19204	127	5	the	the	DET
ajst-19204	127	6	data	datum	NOUN
ajst-19204	127	7	were	be	AUX
ajst-19204	127	8	first	first	ADV
ajst-19204	127	9	prepared	prepare	VERB
ajst-19204	127	10	and	and	CCONJ
ajst-19204	127	11	cleaned	clean	VERB
ajst-19204	127	12	,	,	PUNCT
ajst-19204	127	13	including	include	VERB
ajst-19204	127	14	the	the	DET
ajst-19204	127	15	processing	processing	NOUN
ajst-19204	127	16	of	of	ADP
ajst-19204	127	17	missing	miss	VERB
ajst-19204	127	18	values	value	NOUN
ajst-19204	127	19	and	and	CCONJ
ajst-19204	127	20	feature	feature	NOUN
ajst-19204	127	21	coding	coding	NOUN
ajst-19204	127	22	.	.	PUNCT
ajst-19204	128	1	then	then	ADV
ajst-19204	128	2	,	,	PUNCT
ajst-19204	128	3	[	[	X
ajst-19204	128	4	13]through	13]through	NUM
ajst-19204	128	5	exploratory	exploratory	ADJ
ajst-19204	128	6	data	datum	NOUN
ajst-19204	128	7	analysis	analysis	NOUN
ajst-19204	128	8	,	,	PUNCT
ajst-19204	128	9	the	the	DET
ajst-19204	128	10	relationship	relationship	NOUN
ajst-19204	128	11	between	between	ADP
ajst-19204	128	12	each	each	DET
ajst-19204	128	13	feature	feature	NOUN
ajst-19204	128	14	is	be	AUX
ajst-19204	128	15	deeply	deeply	ADV
ajst-19204	128	16	understood	understand	VERB
ajst-19204	128	17	,	,	PUNCT
ajst-19204	128	18	and	and	CCONJ
ajst-19204	128	19	the	the	DET
ajst-19204	128	20	data	data	NOUN
ajst-19204	128	21	is	be	AUX
ajst-19204	128	22	visually	visually	ADV
ajst-19204	128	23	analyzed	analyze	VERB
ajst-19204	128	24	,	,	PUNCT
ajst-19204	128	25	which	which	PRON
ajst-19204	128	26	provides	provide	VERB
ajst-19204	128	27	useful	useful	ADJ
ajst-19204	128	28	guidance	guidance	NOUN
ajst-19204	128	29	for	for	ADP
ajst-19204	128	30	the	the	DET
ajst-19204	128	31	subsequent	subsequent	ADJ
ajst-19204	128	32	model	model	NOUN
ajst-19204	128	33	construction	construction	NOUN
ajst-19204	128	34	.	.	PUNCT
ajst-19204	129	1	the	the	DET
ajst-19204	129	2	next	next	ADJ
ajst-19204	129	3	step	step	NOUN
ajst-19204	129	4	is	be	AUX
ajst-19204	129	5	feature	feature	NOUN
ajst-19204	129	6	engineering	engineering	NOUN
ajst-19204	129	7	,	,	PUNCT
ajst-19204	129	8	which	which	PRON
ajst-19204	129	9	further	far	ADV
ajst-19204	129	10	improves	improve	VERB
ajst-19204	129	11	the	the	DET
ajst-19204	129	12	performance	performance	NOUN
ajst-19204	129	13	of	of	ADP
ajst-19204	129	14	the	the	DET
ajst-19204	129	15	model	model	NOUN
ajst-19204	129	16	by	by	ADP
ajst-19204	129	17	selecting	select	VERB
ajst-19204	129	18	important	important	ADJ
ajst-19204	129	19	features	feature	NOUN
ajst-19204	129	20	and	and	CCONJ
ajst-19204	129	21	creating	create	VERB
ajst-19204	129	22	new	new	ADJ
ajst-19204	129	23	features	feature	NOUN
ajst-19204	129	24	.	.	PUNCT
ajst-19204	130	1	as	as	ADP
ajst-19204	130	2	our	our	PRON
ajst-19204	130	3	main	main	ADJ
ajst-19204	130	4	modeling	modeling	NOUN
ajst-19204	130	5	tool	tool	NOUN
ajst-19204	130	6	,	,	PUNCT
ajst-19204	130	7	random	random	ADJ
ajst-19204	130	8	forest	forest	NOUN
ajst-19204	130	9	algorithm	algorithm	NOUN
ajst-19204	130	10	has	have	VERB
ajst-19204	130	11	good	good	ADJ
ajst-19204	130	12	generalization	generalization	NOUN
ajst-19204	130	13	ability	ability	NOUN
ajst-19204	130	14	and	and	CCONJ
ajst-19204	130	15	anti	anti	ADJ
ajst-19204	130	16	-	-	ADJ
ajst-19204	130	17	overfitting	overfitting	ADJ
ajst-19204	130	18	ability	ability	NOUN
ajst-19204	130	19	,	,	PUNCT
ajst-19204	130	20	and	and	CCONJ
ajst-19204	130	21	can	can	AUX
ajst-19204	130	22	effectively	effectively	ADV
ajst-19204	130	23	deal	deal	VERB
ajst-19204	130	24	with	with	ADP
ajst-19204	130	25	high	high	ADV
ajst-19204	130	26	-	-	PUNCT
ajst-19204	130	27	dimensional	dimensional	ADJ
ajst-19204	130	28	and	and	CCONJ
ajst-19204	130	29	complex	complex	ADJ
ajst-19204	130	30	data	datum	NOUN
ajst-19204	130	31	without	without	ADP
ajst-19204	130	32	too	too	ADV
ajst-19204	130	33	much	much	ADJ
ajst-19204	130	34	data	datum	NOUN
ajst-19204	130	35	preprocessing	preprocessing	NOUN
ajst-19204	130	36	.	.	PUNCT
ajst-19204	131	1	in	in	ADP
ajst-19204	131	2	the	the	DET
ajst-19204	131	3	model	model	NOUN
ajst-19204	131	4	training	training	NOUN
ajst-19204	131	5	stage	stage	NOUN
ajst-19204	131	6	,	,	PUNCT
ajst-19204	131	7	the	the	DET
ajst-19204	131	8	data	datum	NOUN
ajst-19204	131	9	set	set	VERB
ajst-19204	131	10	is	be	AUX
ajst-19204	131	11	divided	divide	VERB
ajst-19204	131	12	into	into	ADP
ajst-19204	131	13	training	training	NOUN
ajst-19204	131	14	set	set	NOUN
ajst-19204	131	15	and	and	CCONJ
ajst-19204	131	16	test	test	NOUN
ajst-19204	131	17	set	set	VERB
ajst-19204	131	18	,	,	PUNCT
ajst-19204	131	19	and	and	CCONJ
ajst-19204	131	20	the	the	DET
ajst-19204	131	21	model	model	NOUN
ajst-19204	131	22	is	be	AUX
ajst-19204	131	23	evaluated	evaluate	VERB
ajst-19204	131	24	and	and	CCONJ
ajst-19204	131	25	optimized	optimize	VERB
ajst-19204	131	26	using	use	VERB
ajst-19204	131	27	cross	cross	ADJ
ajst-19204	131	28	-	-	ADJ
ajst-19204	131	29	validation	validation	ADJ
ajst-19204	131	30	technique	technique	NOUN
ajst-19204	131	31	.	.	PUNCT
ajst-19204	132	1	[	[	X
ajst-19204	132	2	14]by	14]by	NUM
ajst-19204	132	3	adjusting	adjust	VERB
ajst-19204	132	4	the	the	DET
ajst-19204	132	5	hyperparameters	hyperparameter	NOUN
ajst-19204	132	6	of	of	ADP
ajst-19204	132	7	the	the	DET
ajst-19204	132	8	random	random	ADJ
ajst-19204	132	9	forest	forest	NOUN
ajst-19204	132	10	algorithm	algorithm	NOUN
ajst-19204	132	11	,	,	PUNCT
ajst-19204	132	12	we	we	PRON
ajst-19204	132	13	further	far	ADV
ajst-19204	132	14	improve	improve	VERB
ajst-19204	132	15	the	the	DET
ajst-19204	132	16	performance	performance	NOUN
ajst-19204	132	17	of	of	ADP
ajst-19204	132	18	the	the	DET
ajst-19204	132	19	model	model	NOUN
ajst-19204	132	20	,	,	PUNCT
ajst-19204	132	21	and	and	CCONJ
ajst-19204	132	22	comprehensively	comprehensively	ADV
ajst-19204	132	23	evaluate	evaluate	VERB
ajst-19204	132	24	the	the	DET
ajst-19204	132	25	predictive	predictive	ADJ
ajst-19204	132	26	ability	ability	NOUN
ajst-19204	132	27	of	of	ADP
ajst-19204	132	28	the	the	DET
ajst-19204	132	29	model	model	NOUN
ajst-19204	132	30	by	by	ADP
ajst-19204	132	31	comparing	compare	VERB
ajst-19204	132	32	the	the	DET
ajst-19204	132	33	results	result	NOUN
ajst-19204	132	34	of	of	ADP
ajst-19204	132	35	different	different	ADJ
ajst-19204	132	36	evaluation	evaluation	NOUN
ajst-19204	132	37	indicators	indicator	NOUN
ajst-19204	132	38	.	.	PUNCT
ajst-19204	133	1	finally	finally	ADV
ajst-19204	133	2	,	,	PUNCT
ajst-19204	133	3	in	in	ADP
ajst-19204	133	4	the	the	DET
ajst-19204	133	5	stage	stage	NOUN
ajst-19204	133	6	of	of	ADP
ajst-19204	133	7	model	model	NOUN
ajst-19204	133	8	evaluation	evaluation	NOUN
ajst-19204	133	9	,	,	PUNCT
ajst-19204	133	10	we	we	PRON
ajst-19204	133	11	comprehensively	comprehensively	ADV
ajst-19204	133	12	evaluate	evaluate	VERB
ajst-19204	133	13	the	the	DET
ajst-19204	133	14	accuracy	accuracy	NOUN
ajst-19204	133	15	,	,	PUNCT
ajst-19204	133	16	accuracy	accuracy	NOUN
ajst-19204	133	17	,	,	PUNCT
ajst-19204	133	18	recall	recall	NOUN
ajst-19204	133	19	rate	rate	NOUN
ajst-19204	133	20	and	and	CCONJ
ajst-19204	133	21	other	other	ADJ
ajst-19204	133	22	indicators	indicator	NOUN
ajst-19204	133	23	of	of	ADP
ajst-19204	133	24	the	the	DET
ajst-19204	133	25	model	model	NOUN
ajst-19204	133	26	,	,	PUNCT
ajst-19204	133	27	and	and	CCONJ
ajst-19204	133	28	intuitively	intuitively	ADV
ajst-19204	133	29	display	display	VERB
ajst-19204	133	30	the	the	DET
ajst-19204	133	31	classification	classification	NOUN
ajst-19204	133	32	effect	effect	NOUN
ajst-19204	133	33	of	of	ADP
ajst-19204	133	34	the	the	DET
ajst-19204	133	35	model	model	NOUN
ajst-19204	133	36	through	through	ADP
ajst-19204	133	37	the	the	DET
ajst-19204	133	38	confusion	confusion	NOUN
ajst-19204	133	39	matrix	matrix	NOUN
ajst-19204	133	40	.	.	PUNCT
ajst-19204	134	1	at	at	ADP
ajst-19204	134	2	the	the	DET
ajst-19204	134	3	same	same	ADJ
ajst-19204	134	4	time	time	NOUN
ajst-19204	134	5	,	,	PUNCT
ajst-19204	134	6	the	the	DET
ajst-19204	134	7	experiment	experiment	NOUN
ajst-19204	134	8	also	also	ADV
ajst-19204	134	9	considers	consider	VERB
ajst-19204	134	10	the	the	DET
ajst-19204	134	11	problem	problem	NOUN
ajst-19204	134	12	of	of	ADP
ajst-19204	134	13	unbalance	unbalance	NOUN
ajst-19204	134	14	in	in	ADP
ajst-19204	134	15	the	the	DET
ajst-19204	134	16	data	datum	NOUN
ajst-19204	134	17	set	set	VERB
ajst-19204	134	18	,	,	PUNCT
ajst-19204	134	19	and	and	CCONJ
ajst-19204	134	20	adopts	adopt	VERB
ajst-19204	134	21	oversampling	oversample	VERB
ajst-19204	134	22	techniques	technique	NOUN
ajst-19204	134	23	to	to	PART
ajst-19204	134	24	solve	solve	VERB
ajst-19204	134	25	the	the	DET
ajst-19204	134	26	challenges	challenge	NOUN
ajst-19204	134	27	brought	bring	VERB
ajst-19204	134	28	by	by	ADP
ajst-19204	134	29	the	the	DET
ajst-19204	134	30	unbalanced	unbalanced	ADJ
ajst-19204	134	31	data	datum	NOUN
ajst-19204	134	32	,	,	PUNCT
ajst-19204	134	33	so	so	SCONJ
ajst-19204	134	34	as	as	SCONJ
ajst-19204	134	35	to	to	PART
ajst-19204	134	36	further	far	ADV
ajst-19204	134	37	improve	improve	VERB
ajst-19204	134	38	the	the	DET
ajst-19204	134	39	robustness	robustness	NOUN
ajst-19204	134	40	and	and	CCONJ
ajst-19204	134	41	reliability	reliability	NOUN
ajst-19204	134	42	of	of	ADP
ajst-19204	134	43	the	the	DET
ajst-19204	134	44	model	model	NOUN
ajst-19204	134	45	.	.	PUNCT
ajst-19204	135	1	in	in	ADP
ajst-19204	135	2	summary	summary	NOUN
ajst-19204	135	3	,	,	PUNCT
ajst-19204	135	4	through	through	ADP
ajst-19204	135	5	this	this	DET
ajst-19204	135	6	experiment	experiment	NOUN
ajst-19204	135	7	,	,	PUNCT
ajst-19204	135	8	random	random	ADJ
ajst-19204	135	9	forest	forest	NOUN
ajst-19204	135	10	algorithm	algorithm	NOUN
ajst-19204	135	11	can	can	AUX
ajst-19204	135	12	be	be	AUX
ajst-19204	135	13	fully	fully	ADV
ajst-19204	135	14	utilized	utilize	VERB
ajst-19204	135	15	to	to	PART
ajst-19204	135	16	build	build	VERB
ajst-19204	135	17	an	an	DET
ajst-19204	135	18	efficient	efficient	ADJ
ajst-19204	135	19	and	and	CCONJ
ajst-19204	135	20	accurate	accurate	ADJ
ajst-19204	135	21	credit	credit	NOUN
ajst-19204	135	22	risk	risk	NOUN
ajst-19204	135	23	prediction	prediction	NOUN
ajst-19204	135	24	model	model	NOUN
ajst-19204	135	25	,	,	PUNCT
ajst-19204	135	26	which	which	PRON
ajst-19204	135	27	provides	provide	VERB
ajst-19204	135	28	strong	strong	ADJ
ajst-19204	135	29	decision	decision	NOUN
ajst-19204	135	30	support	support	NOUN
ajst-19204	135	31	for	for	ADP
ajst-19204	135	32	financial	financial	ADJ
ajst-19204	135	33	institutions	institution	NOUN
ajst-19204	135	34	,	,	PUNCT
ajst-19204	135	35	helps	help	VERB
ajst-19204	135	36	them	they	PRON
ajst-19204	135	37	better	well	ADV
ajst-19204	135	38	manage	manage	VERB
ajst-19204	135	39	and	and	CCONJ
ajst-19204	135	40	control	control	VERB
ajst-19204	135	41	credit	credit	NOUN
ajst-19204	135	42	risk	risk	NOUN
ajst-19204	135	43	,	,	PUNCT
ajst-19204	135	44	and	and	CCONJ
ajst-19204	135	45	achieves	achieve	VERB
ajst-19204	135	46	sound	sound	ADJ
ajst-19204	135	47	operation	operation	NOUN
ajst-19204	135	48	and	and	CCONJ
ajst-19204	135	49	sustainable	sustainable	ADJ
ajst-19204	135	50	development	development	NOUN
ajst-19204	135	51	.	.	PUNCT
ajst-19204	136	1	3.3	3.3	NUM
ajst-19204	136	2	.	.	PUNCT
ajst-19204	137	1	data	datum	NOUN
ajst-19204	137	2	set	set	VERB
ajst-19204	137	3	preprocessing	preprocessing	NOUN
ajst-19204	137	4	in	in	ADP
ajst-19204	137	5	the	the	DET
ajst-19204	137	6	data	datum	NOUN
ajst-19204	137	7	set	set	VERB
ajst-19204	137	8	preprocessing	preprocesse	VERB
ajst-19204	137	9	part	part	NOUN
ajst-19204	137	10	,	,	PUNCT
ajst-19204	137	11	we	we	PRON
ajst-19204	137	12	first	first	ADV
ajst-19204	137	13	imported	import	VERB
ajst-19204	137	14	the	the	DET
ajst-19204	137	15	required	require	VERB
ajst-19204	137	16	python	python	NOUN
ajst-19204	137	17	libraries	library	NOUN
ajst-19204	137	18	and	and	CCONJ
ajst-19204	137	19	read	read	VERB
ajst-19204	137	20	the	the	DET
ajst-19204	137	21	data	datum	NOUN
ajst-19204	137	22	set	set	VERB
ajst-19204	137	23	named	name	VERB
ajst-19204	137	24	credit_customers.csv	credit_customers.csv	VERB
ajst-19204	137	25	.	.	PUNCT
ajst-19204	138	1	this	this	DET
ajst-19204	138	2	data	datum	NOUN
ajst-19204	138	3	set	set	NOUN
ajst-19204	138	4	contains	contain	VERB
ajst-19204	138	5	information	information	NOUN
ajst-19204	138	6	about	about	ADP
ajst-19204	138	7	the	the	DET
ajst-19204	138	8	customer	customer	NOUN
ajst-19204	138	9	's	's	PART
ajst-19204	138	10	credit	credit	NOUN
ajst-19204	138	11	risk	risk	NOUN
ajst-19204	138	12	,	,	PUNCT
ajst-19204	138	13	including	include	VERB
ajst-19204	138	14	financial	financial	ADJ
ajst-19204	138	15	status	status	NOUN
ajst-19204	138	16	,	,	PUNCT
ajst-19204	138	17	personal	personal	ADJ
ajst-19204	138	18	background	background	NOUN
ajst-19204	138	19	,	,	PUNCT
ajst-19204	138	20	loan	loan	NOUN
ajst-19204	138	21	purpose	purpose	NOUN
ajst-19204	138	22	and	and	CCONJ
ajst-19204	138	23	other	other	ADJ
ajst-19204	138	24	characteristics	characteristic	NOUN
ajst-19204	138	25	.	.	PUNCT
ajst-19204	139	1	[	[	X
ajst-19204	139	2	15	15	NUM
ajst-19204	139	3	-	-	SYM
ajst-19204	139	4	17]using	17]using	NUM
ajst-19204	139	5	the	the	DET
ajst-19204	139	6	read_csv	read_csv	PROPN
ajst-19204	139	7	(	(	PUNCT
ajst-19204	139	8	)	)	PUNCT
ajst-19204	139	9	function	function	NOUN
ajst-19204	139	10	in	in	ADP
ajst-19204	139	11	the	the	DET
ajst-19204	139	12	pandas	panda	NOUN
ajst-19204	139	13	library	library	NOUN
ajst-19204	139	14	,	,	PUNCT
ajst-19204	139	15	we	we	PRON
ajst-19204	139	16	load	load	VERB
ajst-19204	139	17	the	the	DET
ajst-19204	139	18	data	datum	NOUN
ajst-19204	139	19	into	into	ADP
ajst-19204	139	20	a	a	DET
ajst-19204	139	21	dataframe	dataframe	NOUN
ajst-19204	139	22	for	for	ADP
ajst-19204	139	23	subsequent	subsequent	ADJ
ajst-19204	139	24	processing	processing	NOUN
ajst-19204	139	25	and	and	CCONJ
ajst-19204	139	26	analysis	analysis	NOUN
ajst-19204	139	27	.	.	PUNCT
ajst-19204	140	1	next	next	ADV
ajst-19204	140	2	,	,	PUNCT
ajst-19204	140	3	we	we	PRON
ajst-19204	140	4	looked	look	VERB
ajst-19204	140	5	at	at	ADP
ajst-19204	140	6	the	the	DET
ajst-19204	140	7	first	first	ADJ
ajst-19204	140	8	few	few	ADJ
ajst-19204	140	9	lines	line	NOUN
ajst-19204	140	10	of	of	ADP
ajst-19204	140	11	the	the	DET
ajst-19204	140	12	dataset	dataset	NOUN
ajst-19204	140	13	using	use	VERB
ajst-19204	140	14	the.head	the.head	NOUN
ajst-19204	140	15	(	(	PUNCT
ajst-19204	140	16	)	)	PUNCT
ajst-19204	140	17	method	method	NOUN
ajst-19204	140	18	to	to	PART
ajst-19204	140	19	make	make	VERB
ajst-19204	140	20	sure	sure	ADJ
ajst-19204	140	21	the	the	DET
ajst-19204	140	22	data	datum	NOUN
ajst-19204	140	23	was	be	AUX
ajst-19204	140	24	loaded	load	VERB
ajst-19204	140	25	correctly	correctly	ADV
ajst-19204	140	26	.	.	PUNCT
ajst-19204	141	1	we	we	PRON
ajst-19204	141	2	then	then	ADV
ajst-19204	141	3	transpose	transpose	VERB
ajst-19204	141	4	the	the	DET
ajst-19204	141	5	dataset	dataset	NOUN
ajst-19204	141	6	to	to	PART
ajst-19204	141	7	see	see	VERB
ajst-19204	141	8	the	the	DET
ajst-19204	141	9	data	datum	NOUN
ajst-19204	141	10	more	more	ADV
ajst-19204	141	11	clearly	clearly	ADV
ajst-19204	141	12	,	,	PUNCT
ajst-19204	141	13	and	and	CCONJ
ajst-19204	141	14	by	by	ADP
ajst-19204	141	15	looking	look	VERB
ajst-19204	141	16	at	at	ADP
ajst-19204	141	17	the	the	DET
ajst-19204	141	18	data	datum	NOUN
ajst-19204	141	19	after	after	ADP
ajst-19204	141	20	transposing	transpose	VERB
ajst-19204	141	21	,	,	PUNCT
ajst-19204	141	22	we	we	PRON
ajst-19204	141	23	can	can	AUX
ajst-19204	141	24	quickly	quickly	ADV
ajst-19204	141	25	understand	understand	VERB
ajst-19204	141	26	the	the	DET
ajst-19204	141	27	feature	feature	NOUN
ajst-19204	141	28	columns	column	NOUN
ajst-19204	141	29	of	of	ADP
ajst-19204	141	30	the	the	DET
ajst-19204	141	31	dataset	dataset	NOUN
ajst-19204	141	32	and	and	CCONJ
ajst-19204	141	33	the	the	DET
ajst-19204	141	34	value	value	NOUN
ajst-19204	141	35	range	range	NOUN
ajst-19204	141	36	and	and	CCONJ
ajst-19204	141	37	data	datum	NOUN
ajst-19204	141	38	type	type	NOUN
ajst-19204	141	39	of	of	ADP
ajst-19204	141	40	each	each	DET
ajst-19204	141	41	feature	feature	NOUN
ajst-19204	141	42	.	.	PUNCT
ajst-19204	142	1	this	this	DET
ajst-19204	142	2	import	import	NOUN
ajst-19204	142	3	section	section	NOUN
ajst-19204	142	4	lays	lay	VERB
ajst-19204	142	5	the	the	DET
ajst-19204	142	6	foundation	foundation	NOUN
ajst-19204	142	7	for	for	ADP
ajst-19204	142	8	our	our	PRON
ajst-19204	142	9	subsequent	subsequent	ADJ
ajst-19204	142	10	data	datum	NOUN
ajst-19204	142	11	cleaning	cleaning	NOUN
ajst-19204	142	12	,	,	PUNCT
ajst-19204	142	13	preparation	preparation	NOUN
ajst-19204	142	14	,	,	PUNCT
ajst-19204	142	15	and	and	CCONJ
ajst-19204	142	16	analysis	analysis	NOUN
ajst-19204	142	17	.	.	PUNCT
ajst-19204	143	1	after	after	ADP
ajst-19204	143	2	obtaining	obtain	VERB
ajst-19204	143	3	the	the	DET
ajst-19204	143	4	data	datum	NOUN
ajst-19204	143	5	set	set	VERB
ajst-19204	143	6	,	,	PUNCT
ajst-19204	143	7	a	a	DET
ajst-19204	143	8	new	new	ADJ
ajst-19204	143	9	dataframe	dataframe	NOUN
ajst-19204	143	10	new_df	new_df	X
ajst-19204	143	11	is	be	AUX
ajst-19204	143	12	created	create	VERB
ajst-19204	143	13	,	,	PUNCT
ajst-19204	143	14	replicating	replicate	VERB
ajst-19204	143	15	all	all	DET
ajst-19204	143	16	the	the	DET
ajst-19204	143	17	data	datum	NOUN
ajst-19204	143	18	and	and	CCONJ
ajst-19204	143	19	structure	structure	NOUN
ajst-19204	143	20	of	of	ADP
ajst-19204	143	21	the	the	DET
ajst-19204	143	22	original	original	ADJ
ajst-19204	143	23	dataframe	dataframe	ADJ
ajst-19204	143	24	df	df	PROPN
ajst-19204	143	25	.	.	PUNCT
ajst-19204	144	1	seaborn	seaborn	PROPN
ajst-19204	144	2	was	be	AUX
ajst-19204	144	3	then	then	ADV
ajst-19204	144	4	used	use	VERB
ajst-19204	144	5	to	to	PART
ajst-19204	144	6	draw	draw	VERB
ajst-19204	144	7	a	a	DET
ajst-19204	144	8	counting	counting	NOUN
ajst-19204	144	9	bar	bar	NOUN
ajst-19204	144	10	chart	chart	NOUN
ajst-19204	144	11	of	of	ADP
ajst-19204	144	12	the	the	DET
ajst-19204	144	13	features	feature	NOUN
ajst-19204	144	14	of	of	ADP
ajst-19204	144	15	each	each	DET
ajst-19204	144	16	category	category	NOUN
ajst-19204	144	17	to	to	PART
ajst-19204	144	18	visualize	visualize	VERB
ajst-19204	144	19	the	the	DET
ajst-19204	144	20	distribution	distribution	NOUN
ajst-19204	144	21	of	of	ADP
ajst-19204	144	22	the	the	DET
ajst-19204	144	23	different	different	ADJ
ajst-19204	144	24	categories	category	NOUN
ajst-19204	144	25	,	,	PUNCT
ajst-19204	144	26	and	and	CCONJ
ajst-19204	144	27	colored	color	VERB
ajst-19204	144	28	according	accord	VERB
ajst-19204	144	29	to	to	ADP
ajst-19204	144	30	the	the	DET
ajst-19204	144	31	good	good	ADJ
ajst-19204	144	32	and	and	CCONJ
ajst-19204	144	33	bad	bad	ADJ
ajst-19204	144	34	labels	label	NOUN
ajst-19204	144	35	of	of	ADP
ajst-19204	144	36	the	the	DET
ajst-19204	144	37	customers	customer	NOUN
ajst-19204	144	38	to	to	PART
ajst-19204	144	39	help	help	VERB
ajst-19204	144	40	visualize	visualize	VERB
ajst-19204	144	41	the	the	DET
ajst-19204	144	42	characteristics	characteristic	NOUN
ajst-19204	144	43	of	of	ADP
ajst-19204	144	44	the	the	DET
ajst-19204	144	45	data	datum	NOUN
ajst-19204	144	46	.	.	PUNCT
ajst-19204	145	1	then	then	ADV
ajst-19204	145	2	,	,	PUNCT
ajst-19204	145	3	the	the	DET
ajst-19204	145	4	object	object	NOUN
ajst-19204	145	5	type	type	NOUN
ajst-19204	145	6	column	column	NOUN
ajst-19204	145	7	of	of	ADP
ajst-19204	145	8	the	the	DET
ajst-19204	145	9	original	original	ADJ
ajst-19204	145	10	data	datum	NOUN
ajst-19204	145	11	set	set	VERB
ajst-19204	145	12	is	be	AUX
ajst-19204	145	13	coded	code	VERB
ajst-19204	145	14	with	with	ADP
ajst-19204	145	15	labels	label	NOUN
ajst-19204	145	16	,	,	PUNCT
ajst-19204	145	17	and	and	CCONJ
ajst-19204	145	18	the	the	DET
ajst-19204	145	19	categorical	categorical	ADJ
ajst-19204	145	20	data	data	NOUN
ajst-19204	145	21	is	be	AUX
ajst-19204	145	22	converted	convert	VERB
ajst-19204	145	23	into	into	ADP
ajst-19204	145	24	numerical	numerical	ADJ
ajst-19204	145	25	data	datum	NOUN
ajst-19204	145	26	for	for	ADP
ajst-19204	145	27	subsequent	subsequent	ADJ
ajst-19204	145	28	modeling	modeling	NOUN
ajst-19204	145	29	analysis	analysis	NOUN
ajst-19204	145	30	.	.	PUNCT
ajst-19204	146	1	finally	finally	ADV
ajst-19204	146	2	,	,	PUNCT
ajst-19204	146	3	i	i	PRON
ajst-19204	146	4	reviewed	review	VERB
ajst-19204	146	5	the	the	DET
ajst-19204	146	6	basic	basic	ADJ
ajst-19204	146	7	information	information	NOUN
ajst-19204	146	8	of	of	ADP
ajst-19204	146	9	the	the	DET
ajst-19204	146	10	dataframe	dataframe	PROPN
ajst-19204	146	11	again	again	ADV
ajst-19204	146	12	to	to	PART
ajst-19204	146	13	ensure	ensure	VERB
ajst-19204	146	14	that	that	SCONJ
ajst-19204	146	15	the	the	DET
ajst-19204	146	16	column	column	NOUN
ajst-19204	146	17	of	of	ADP
ajst-19204	146	18	the	the	DET
ajst-19204	146	19	object	object	NOUN
ajst-19204	146	20	type	type	NOUN
ajst-19204	146	21	has	have	AUX
ajst-19204	146	22	been	be	AUX
ajst-19204	146	23	successfully	successfully	ADV
ajst-19204	146	24	encoded	encode	VERB
ajst-19204	146	25	as	as	ADP
ajst-19204	146	26	a	a	DET
ajst-19204	146	27	numeric	numeric	ADJ
ajst-19204	146	28	type	type	NOUN
ajst-19204	146	29	,	,	PUNCT
ajst-19204	146	30	laying	lay	VERB
ajst-19204	146	31	the	the	DET
ajst-19204	146	32	foundation	foundation	NOUN
ajst-19204	146	33	for	for	ADP
ajst-19204	146	34	the	the	DET
ajst-19204	146	35	next	next	ADJ
ajst-19204	146	36	modeling	modeling	NOUN
ajst-19204	146	37	preparation	preparation	NOUN
ajst-19204	146	38	.	.	PUNCT
ajst-19204	147	1	294	294	NUM
ajst-19204	147	2	table	table	NOUN
ajst-19204	147	3	1	1	NUM
ajst-19204	147	4	.	.	PUNCT
ajst-19204	147	5	credit	credit	NOUN
ajst-19204	147	6	customers	customer	NOUN
ajst-19204	147	7	dataset	dataset	VERB
ajst-19204	147	8	0	0	NUM
ajst-19204	147	9	1	1	NUM
ajst-19204	147	10	2	2	NUM
ajst-19204	147	11	3	3	NUM
ajst-19204	147	12	4	4	NUM
ajst-19204	147	13	checking_status	checking_status	NOUN
ajst-19204	147	14	<	<	X
ajst-19204	147	15	0	0	NUM
ajst-19204	147	16	0<=x<200	0<=x<200	NUM
ajst-19204	148	1	no	no	DET
ajst-19204	148	2	checking	checking	NOUN
ajst-19204	148	3	<	<	NOUN
ajst-19204	148	4	0	0	NUM
ajst-19204	148	5	<	<	X
ajst-19204	148	6	0	0	NUM
ajst-19204	148	7	duration	duration	NOUN
ajst-19204	148	8	6.0	6.0	NUM
ajst-19204	148	9	48.0	48.0	NUM
ajst-19204	148	10	12.0	12.0	NUM
ajst-19204	148	11	42.0	42.0	NUM
ajst-19204	148	12	24.0	24.0	NUM
ajst-19204	148	13	credit_history	credit_history	PROPN
ajst-19204	148	14	critical	critical	ADJ
ajst-19204	148	15	/	/	SYM
ajst-19204	148	16	other	other	ADJ
ajst-19204	148	17	existing	exist	VERB
ajst-19204	148	18	credit	credit	NOUN
ajst-19204	148	19	existing	exist	VERB
ajst-19204	148	20	paid	pay	VERB
ajst-19204	148	21	critical	critical	ADJ
ajst-19204	148	22	/	/	SYM
ajst-19204	148	23	other	other	ADJ
ajst-19204	148	24	existing	exist	VERB
ajst-19204	148	25	credit	credit	NOUN
ajst-19204	148	26	existing	exist	VERB
ajst-19204	148	27	paid	pay	VERB
ajst-19204	148	28	delayed	delay	VERB
ajst-19204	148	29	previously	previously	ADV
ajst-19204	148	30	purpose	purpose	NOUN
ajst-19204	148	31	radio	radio	NOUN
ajst-19204	148	32	/	/	SYM
ajst-19204	148	33	tv	tv	NOUN
ajst-19204	148	34	radio	radio	NOUN
ajst-19204	148	35	/	/	SYM
ajst-19204	148	36	tv	tv	NOUN
ajst-19204	148	37	education	education	NOUN
ajst-19204	148	38	furniture	furniture	NOUN
ajst-19204	148	39	/	/	SYM
ajst-19204	148	40	equipment	equipment	NOUN
ajst-19204	148	41	new	new	ADJ
ajst-19204	148	42	car	car	NOUN
ajst-19204	148	43	credit_amount	credit_amount	NOUN
ajst-19204	148	44	1169.0	1169.0	NUM
ajst-19204	148	45	5951.0	5951.0	NUM
ajst-19204	148	46	2096.0	2096.0	NUM
ajst-19204	148	47	7882.0	7882.0	NUM
ajst-19204	148	48	4870.0	4870.0	NUM
ajst-19204	148	49	savings_status	savings_status	NOUN
ajst-19204	148	50	no	no	DET
ajst-19204	148	51	known	known	ADJ
ajst-19204	148	52	savings	saving	NOUN
ajst-19204	148	53	<	<	NOUN
ajst-19204	148	54	100	100	NUM
ajst-19204	148	55	<	<	NOUN
ajst-19204	148	56	100	100	NUM
ajst-19204	148	57	<	<	X
ajst-19204	148	58	100	100	NUM
ajst-19204	148	59	<	<	SYM
ajst-19204	148	60	100	100	NUM
ajst-19204	148	61	employment	employment	NOUN
ajst-19204	148	62	>	>	PUNCT
ajst-19204	148	63	=	=	NUM
ajst-19204	148	64	7	7	NUM
ajst-19204	148	65	1<=x<4	1<=x<4	NUM
ajst-19204	148	66	4<=x<7	4<=x<7	NUM
ajst-19204	148	67	4<=x<7	4<=x<7	NUM
ajst-19204	148	68	1<=x<4	1<=x<4	NUM
ajst-19204	149	1	installment_commitment	installment_commitment	NUM
ajst-19204	149	2	4.0	4.0	NUM
ajst-19204	149	3	2.0	2.0	NUM
ajst-19204	149	4	2.0	2.0	NUM
ajst-19204	149	5	2.0	2.0	NUM
ajst-19204	149	6	3.0	3.0	NUM
ajst-19204	149	7	personal_status	personal_status	NOUN
ajst-19204	149	8	male	male	ADJ
ajst-19204	149	9	single	single	ADJ
ajst-19204	149	10	female	female	ADJ
ajst-19204	149	11	div	div	PROPN
ajst-19204	149	12	/	/	SYM
ajst-19204	149	13	dep	dep	NOUN
ajst-19204	149	14	/	/	SYM
ajst-19204	149	15	mar	mar	PROPN
ajst-19204	149	16	male	male	ADJ
ajst-19204	149	17	single	single	ADJ
ajst-19204	149	18	male	male	ADJ
ajst-19204	149	19	single	single	ADJ
ajst-19204	149	20	male	male	ADJ
ajst-19204	149	21	single	single	ADJ
ajst-19204	149	22	other_parties	other_partie	NOUN
ajst-19204	149	23	none	none	NOUN
ajst-19204	149	24	none	none	NOUN
ajst-19204	149	25	none	none	NOUN
ajst-19204	149	26	guarantor	guarantor	NOUN
ajst-19204	149	27	none	none	NOUN
ajst-19204	149	28	residence_since	residence_since	NOUN
ajst-19204	149	29	4.0	4.0	NUM
ajst-19204	149	30	2.0	2.0	NUM
ajst-19204	149	31	3.0	3.0	NUM
ajst-19204	149	32	4.0	4.0	NUM
ajst-19204	149	33	4.0	4.0	NUM
ajst-19204	149	34	property_magnitude	property_magnitude	NOUN
ajst-19204	149	35	real	real	ADJ
ajst-19204	149	36	estate	estate	NOUN
ajst-19204	149	37	real	real	ADJ
ajst-19204	149	38	estate	estate	NOUN
ajst-19204	149	39	real	real	ADJ
ajst-19204	149	40	estate	estate	NOUN
ajst-19204	149	41	life	life	NOUN
ajst-19204	149	42	insurance	insurance	NOUN
ajst-19204	149	43	no	no	DET
ajst-19204	149	44	known	know	VERB
ajst-19204	149	45	property	property	NOUN
ajst-19204	149	46	age	age	NOUN
ajst-19204	149	47	67.0	67.0	NUM
ajst-19204	149	48	22.0	22.0	NUM
ajst-19204	149	49	49.0	49.0	NUM
ajst-19204	149	50	45.0	45.0	NUM
ajst-19204	149	51	53.0	53.0	NUM
ajst-19204	149	52	other_payment_plans	other_payment_plan	NOUN
ajst-19204	149	53	none	none	NOUN
ajst-19204	149	54	none	none	NOUN
ajst-19204	149	55	none	none	NOUN
ajst-19204	149	56	none	none	NOUN
ajst-19204	149	57	none	none	NOUN
ajst-19204	149	58	housing	housing	NOUN
ajst-19204	149	59	own	own	ADJ
ajst-19204	149	60	own	own	ADJ
ajst-19204	149	61	own	own	ADJ
ajst-19204	149	62	for	for	ADP
ajst-19204	149	63	free	free	ADJ
ajst-19204	149	64	for	for	ADP
ajst-19204	149	65	free	free	ADJ
ajst-19204	149	66	existing_credits	existing_credit	NOUN
ajst-19204	149	67	2.0	2.0	NUM
ajst-19204	149	68	1.0	1.0	NUM
ajst-19204	149	69	1.0	1.0	NUM
ajst-19204	149	70	1.0	1.0	NUM
ajst-19204	149	71	2.0	2.0	NUM
ajst-19204	149	72	job	job	NOUN
ajst-19204	149	73	skilled	skilled	ADJ
ajst-19204	149	74	skilled	skilled	ADJ
ajst-19204	149	75	unskilled	unskilled	ADJ
ajst-19204	149	76	resident	resident	NOUN
ajst-19204	149	77	skilled	skilled	ADJ
ajst-19204	149	78	skilled	skilled	ADJ
ajst-19204	149	79	num_dependents	num_dependents	ADP
ajst-19204	149	80	1.0	1.0	NUM
ajst-19204	149	81	1.0	1.0	NUM
ajst-19204	149	82	2.0	2.0	NUM
ajst-19204	149	83	2.0	2.0	NUM
ajst-19204	149	84	2.0	2.0	NUM
ajst-19204	150	1	own_telephone	own_telephone	NOUN
ajst-19204	151	1	yes	yes	INTJ
ajst-19204	151	2	none	none	NOUN
ajst-19204	151	3	none	none	NOUN
ajst-19204	151	4	none	none	NOUN
ajst-19204	151	5	none	none	NOUN
ajst-19204	151	6	foreign_worker	foreign_worker	NOUN
ajst-19204	152	1	yes	yes	INTJ
ajst-19204	153	1	yes	yes	INTJ
ajst-19204	154	1	yes	yes	INTJ
ajst-19204	155	1	yes	yes	INTJ
ajst-19204	155	2	yes	yes	INTJ
ajst-19204	155	3	class	class	NOUN
ajst-19204	155	4	good	good	ADJ
ajst-19204	155	5	bad	bad	ADJ
ajst-19204	155	6	good	good	ADJ
ajst-19204	155	7	good	good	ADJ
ajst-19204	155	8	bad	bad	ADJ
ajst-19204	155	9	figure	figure	NOUN
ajst-19204	155	10	2	2	NUM
ajst-19204	155	11	.	.	NOUN
ajst-19204	155	12	histogram	histogram	NOUN
ajst-19204	155	13	of	of	ADP
ajst-19204	155	14	feature	feature	NOUN
ajst-19204	155	15	types	type	NOUN
ajst-19204	155	16	(	(	PUNCT
ajst-19204	155	17	two	two	NUM
ajst-19204	155	18	random	random	ADJ
ajst-19204	155	19	types	type	NOUN
ajst-19204	155	20	)	)	PUNCT
ajst-19204	155	21	295	295	NUM
ajst-19204	155	22	figure	figure	NOUN
ajst-19204	155	23	3	3	NUM
ajst-19204	155	24	.	.	NOUN
ajst-19204	155	25	feature	feature	NOUN
ajst-19204	155	26	type	type	NOUN
ajst-19204	155	27	label	label	NOUN
ajst-19204	155	28	coloring	coloring	NOUN
ajst-19204	155	29	histogram	histogram	NOUN
ajst-19204	155	30	(	(	PUNCT
ajst-19204	155	31	random	random	ADJ
ajst-19204	155	32	two	two	NUM
ajst-19204	155	33	types	type	NOUN
ajst-19204	155	34	)	)	PUNCT
ajst-19204	155	35	this	this	DET
ajst-19204	155	36	section	section	NOUN
ajst-19204	155	37	uses	use	VERB
ajst-19204	155	38	seaborn	seaborn	PROPN
ajst-19204	155	39	to	to	PART
ajst-19204	155	40	draw	draw	VERB
ajst-19204	155	41	a	a	DET
ajst-19204	155	42	counting	counting	NOUN
ajst-19204	155	43	bar	bar	NOUN
ajst-19204	155	44	chart	chart	NOUN
ajst-19204	155	45	of	of	ADP
ajst-19204	155	46	each	each	DET
ajst-19204	155	47	category	category	NOUN
ajst-19204	155	48	type	type	NOUN
ajst-19204	155	49	feature	feature	NOUN
ajst-19204	155	50	to	to	PART
ajst-19204	155	51	visualize	visualize	VERB
ajst-19204	155	52	the	the	DET
ajst-19204	155	53	distribution	distribution	NOUN
ajst-19204	155	54	of	of	ADP
ajst-19204	155	55	the	the	DET
ajst-19204	155	56	different	different	ADJ
ajst-19204	155	57	categories	category	NOUN
ajst-19204	155	58	,	,	PUNCT
ajst-19204	155	59	colored	color	VERB
ajst-19204	155	60	according	accord	VERB
ajst-19204	155	61	to	to	ADP
ajst-19204	155	62	the	the	DET
ajst-19204	155	63	customer	customer	NOUN
ajst-19204	155	64	's	's	PART
ajst-19204	155	65	good	good	ADJ
ajst-19204	155	66	or	or	CCONJ
ajst-19204	155	67	bad	bad	ADJ
ajst-19204	155	68	label	label	NOUN
ajst-19204	155	69	,	,	PUNCT
ajst-19204	155	70	to	to	PART
ajst-19204	155	71	help	help	VERB
ajst-19204	155	72	visualize	visualize	VERB
ajst-19204	155	73	the	the	DET
ajst-19204	155	74	characteristics	characteristic	NOUN
ajst-19204	155	75	of	of	ADP
ajst-19204	155	76	the	the	DET
ajst-19204	155	77	data	datum	NOUN
ajst-19204	155	78	.	.	PUNCT
ajst-19204	156	1	then	then	ADV
ajst-19204	156	2	,	,	PUNCT
ajst-19204	156	3	the	the	DET
ajst-19204	156	4	object	object	NOUN
ajst-19204	156	5	type	type	NOUN
ajst-19204	156	6	column	column	NOUN
ajst-19204	156	7	of	of	ADP
ajst-19204	156	8	the	the	DET
ajst-19204	156	9	original	original	ADJ
ajst-19204	156	10	data	datum	NOUN
ajst-19204	156	11	set	set	VERB
ajst-19204	156	12	is	be	AUX
ajst-19204	156	13	coded	code	VERB
ajst-19204	156	14	with	with	ADP
ajst-19204	156	15	labels	label	NOUN
ajst-19204	156	16	,	,	PUNCT
ajst-19204	156	17	and	and	CCONJ
ajst-19204	156	18	the	the	DET
ajst-19204	156	19	categorical	categorical	ADJ
ajst-19204	156	20	data	data	NOUN
ajst-19204	156	21	is	be	AUX
ajst-19204	156	22	converted	convert	VERB
ajst-19204	156	23	into	into	ADP
ajst-19204	156	24	numerical	numerical	ADJ
ajst-19204	156	25	data	datum	NOUN
ajst-19204	156	26	for	for	ADP
ajst-19204	156	27	subsequent	subsequent	ADJ
ajst-19204	156	28	modeling	modeling	NOUN
ajst-19204	156	29	analysis	analysis	NOUN
ajst-19204	156	30	.	.	PUNCT
ajst-19204	157	1	3.4	3.4	NUM
ajst-19204	157	2	.	.	PUNCT
ajst-19204	157	3	feature	feature	NOUN
ajst-19204	157	4	selection	selection	NOUN
ajst-19204	157	5	and	and	CCONJ
ajst-19204	157	6	extraction	extraction	NOUN
ajst-19204	157	7	this	this	DET
ajst-19204	157	8	article	article	NOUN
ajst-19204	157	9	will	will	AUX
ajst-19204	157	10	focus	focus	VERB
ajst-19204	157	11	on	on	ADP
ajst-19204	157	12	the	the	DET
ajst-19204	157	13	key	key	ADJ
ajst-19204	157	14	steps	step	NOUN
ajst-19204	157	15	of	of	ADP
ajst-19204	157	16	feature	feature	NOUN
ajst-19204	157	17	selection	selection	NOUN
ajst-19204	157	18	and	and	CCONJ
ajst-19204	157	19	extraction	extraction	NOUN
ajst-19204	157	20	that	that	PRON
ajst-19204	157	21	are	be	AUX
ajst-19204	157	22	critical	critical	ADJ
ajst-19204	157	23	to	to	ADP
ajst-19204	157	24	building	build	VERB
ajst-19204	157	25	efficient	efficient	ADJ
ajst-19204	157	26	machine	machine	NOUN
ajst-19204	157	27	learning	learning	NOUN
ajst-19204	157	28	models	model	NOUN
ajst-19204	157	29	.	.	PUNCT
ajst-19204	158	1	[	[	X
ajst-19204	158	2	18	18	NUM
ajst-19204	158	3	-	-	SYM
ajst-19204	158	4	19]we	19]we	NUM
ajst-19204	158	5	will	will	AUX
ajst-19204	158	6	explore	explore	VERB
ajst-19204	158	7	how	how	SCONJ
ajst-19204	158	8	to	to	PART
ajst-19204	158	9	mine	mine	VERB
ajst-19204	158	10	the	the	DET
ajst-19204	158	11	most	most	ADV
ajst-19204	158	12	informative	informative	ADJ
ajst-19204	158	13	features	feature	NOUN
ajst-19204	158	14	from	from	ADP
ajst-19204	158	15	the	the	DET
ajst-19204	158	16	raw	raw	ADJ
ajst-19204	158	17	data	datum	NOUN
ajst-19204	158	18	set	set	VERB
ajst-19204	158	19	and	and	CCONJ
ajst-19204	158	20	how	how	SCONJ
ajst-19204	158	21	to	to	PART
ajst-19204	158	22	improve	improve	VERB
ajst-19204	158	23	the	the	DET
ajst-19204	158	24	performance	performance	NOUN
ajst-19204	158	25	of	of	ADP
ajst-19204	158	26	the	the	DET
ajst-19204	158	27	model	model	NOUN
ajst-19204	158	28	by	by	ADP
ajst-19204	158	29	extracting	extract	VERB
ajst-19204	158	30	key	key	ADJ
ajst-19204	158	31	information	information	NOUN
ajst-19204	158	32	.	.	PUNCT
ajst-19204	159	1	using	use	VERB
ajst-19204	159	2	techniques	technique	NOUN
ajst-19204	159	3	such	such	ADJ
ajst-19204	159	4	as	as	ADP
ajst-19204	159	5	regular	regular	ADJ
ajst-19204	159	6	expressions	expression	NOUN
ajst-19204	159	7	,	,	PUNCT
ajst-19204	159	8	feature	feature	NOUN
ajst-19204	159	9	coding	coding	NOUN
ajst-19204	159	10	,	,	PUNCT
ajst-19204	159	11	and	and	CCONJ
ajst-19204	159	12	correlation	correlation	NOUN
ajst-19204	159	13	analysis	analysis	NOUN
ajst-19204	159	14	,	,	PUNCT
ajst-19204	159	15	we	we	PRON
ajst-19204	159	16	will	will	AUX
ajst-19204	159	17	dissect	dissect	VERB
ajst-19204	159	18	the	the	DET
ajst-19204	159	19	data	datum	NOUN
ajst-19204	159	20	and	and	CCONJ
ajst-19204	159	21	extract	extract	VERB
ajst-19204	159	22	the	the	DET
ajst-19204	159	23	factors	factor	NOUN
ajst-19204	159	24	that	that	PRON
ajst-19204	159	25	have	have	VERB
ajst-19204	159	26	the	the	DET
ajst-19204	159	27	greatest	great	ADJ
ajst-19204	159	28	impact	impact	NOUN
ajst-19204	159	29	on	on	ADP
ajst-19204	159	30	the	the	DET
ajst-19204	159	31	classification	classification	NOUN
ajst-19204	159	32	results	result	NOUN
ajst-19204	159	33	.	.	PUNCT
ajst-19204	160	1	this	this	DET
ajst-19204	160	2	article	article	NOUN
ajst-19204	160	3	will	will	AUX
ajst-19204	160	4	provide	provide	VERB
ajst-19204	160	5	a	a	DET
ajst-19204	160	6	series	series	NOUN
ajst-19204	160	7	of	of	ADP
ajst-19204	160	8	practical	practical	ADJ
ajst-19204	160	9	methods	method	NOUN
ajst-19204	160	10	to	to	PART
ajst-19204	160	11	help	help	VERB
ajst-19204	160	12	you	you	PRON
ajst-19204	160	13	make	make	VERB
ajst-19204	160	14	sense	sense	NOUN
ajst-19204	160	15	of	of	ADP
ajst-19204	160	16	your	your	PRON
ajst-19204	160	17	data	datum	NOUN
ajst-19204	160	18	and	and	CCONJ
ajst-19204	160	19	effectively	effectively	ADV
ajst-19204	160	20	select	select	VERB
ajst-19204	160	21	and	and	CCONJ
ajst-19204	160	22	extract	extract	VERB
ajst-19204	160	23	features	feature	NOUN
ajst-19204	160	24	to	to	PART
ajst-19204	160	25	build	build	VERB
ajst-19204	160	26	more	more	ADV
ajst-19204	160	27	accurate	accurate	ADJ
ajst-19204	160	28	and	and	CCONJ
ajst-19204	160	29	reliable	reliable	ADJ
ajst-19204	160	30	predictive	predictive	ADJ
ajst-19204	160	31	models	model	NOUN
ajst-19204	160	32	.	.	PUNCT
ajst-19204	161	1	let	let	VERB
ajst-19204	161	2	's	us	PRON
ajst-19204	161	3	start	start	VERB
ajst-19204	161	4	exploring	explore	VERB
ajst-19204	161	5	how	how	SCONJ
ajst-19204	161	6	to	to	PART
ajst-19204	161	7	succeed	succeed	VERB
ajst-19204	161	8	in	in	ADP
ajst-19204	161	9	the	the	DET
ajst-19204	161	10	feature	feature	NOUN
ajst-19204	161	11	selection	selection	NOUN
ajst-19204	161	12	and	and	CCONJ
ajst-19204	161	13	extraction	extraction	NOUN
ajst-19204	161	14	process	process	NOUN
ajst-19204	161	15	.	.	PUNCT
ajst-19204	161	16	  	  	SPACE
ajst-19204	162	1	figure	figure	NOUN
ajst-19204	162	2	4	4	NUM
ajst-19204	162	3	.	.	PUNCT
ajst-19204	162	4	correlation	correlation	NOUN
ajst-19204	162	5	between	between	ADP
ajst-19204	162	6	the	the	DET
ajst-19204	162	7	dimensions	dimension	NOUN
ajst-19204	162	8	figure	figure	NOUN
ajst-19204	162	9	4	4	NUM
ajst-19204	162	10	shows	show	VERB
ajst-19204	162	11	the	the	DET
ajst-19204	162	12	correlation	correlation	NOUN
ajst-19204	162	13	matrix	matrix	NOUN
ajst-19204	162	14	between	between	ADP
ajst-19204	162	15	the	the	DET
ajst-19204	162	16	various	various	ADJ
ajst-19204	162	17	features	feature	NOUN
ajst-19204	162	18	in	in	ADP
ajst-19204	162	19	the	the	DET
ajst-19204	162	20	dataset	dataset	NOUN
ajst-19204	162	21	.	.	PUNCT
ajst-19204	163	1	the	the	PRON
ajst-19204	163	2	lighter	light	ADJ
ajst-19204	163	3	the	the	DET
ajst-19204	163	4	color	color	NOUN
ajst-19204	163	5	,	,	PUNCT
ajst-19204	163	6	the	the	PRON
ajst-19204	163	7	stronger	strong	ADJ
ajst-19204	163	8	the	the	DET
ajst-19204	163	9	296	296	NUM
ajst-19204	163	10	correlation	correlation	NOUN
ajst-19204	163	11	,	,	PUNCT
ajst-19204	163	12	and	and	CCONJ
ajst-19204	163	13	the	the	DET
ajst-19204	163	14	darker	dark	ADJ
ajst-19204	163	15	the	the	DET
ajst-19204	163	16	color	color	NOUN
ajst-19204	163	17	,	,	PUNCT
ajst-19204	163	18	the	the	PRON
ajst-19204	163	19	weaker	weak	ADJ
ajst-19204	163	20	the	the	DET
ajst-19204	163	21	correlation	correlation	NOUN
ajst-19204	163	22	.	.	PUNCT
ajst-19204	164	1	[	[	X
ajst-19204	164	2	20]the	20]the	NUM
ajst-19204	164	3	number	number	NOUN
ajst-19204	164	4	in	in	ADP
ajst-19204	164	5	each	each	DET
ajst-19204	164	6	cell	cell	NOUN
ajst-19204	164	7	represents	represent	VERB
ajst-19204	164	8	the	the	DET
ajst-19204	164	9	correlation	correlation	NOUN
ajst-19204	164	10	coefficient	coefficient	NOUN
ajst-19204	164	11	between	between	ADP
ajst-19204	164	12	the	the	DET
ajst-19204	164	13	corresponding	correspond	VERB
ajst-19204	164	14	features	feature	NOUN
ajst-19204	164	15	.	.	PUNCT
ajst-19204	164	16	  	  	SPACE
ajst-19204	164	17	figure	figure	NOUN
ajst-19204	164	18	5	5	NUM
ajst-19204	164	19	.	.	PUNCT
ajst-19204	164	20	features	feature	NOUN
ajst-19204	164	21	correlating	correlate	VERB
ajst-19204	164	22	with	with	ADP
ajst-19204	164	23	class	class	NOUN
ajst-19204	164	24	figure	figure	NOUN
ajst-19204	164	25	5	5	NUM
ajst-19204	164	26	shows	show	VERB
ajst-19204	164	27	the	the	DET
ajst-19204	164	28	correlation	correlation	NOUN
ajst-19204	164	29	between	between	ADP
ajst-19204	164	30	each	each	DET
ajst-19204	164	31	feature	feature	NOUN
ajst-19204	164	32	and	and	CCONJ
ajst-19204	164	33	the	the	DET
ajst-19204	164	34	target	target	NOUN
ajst-19204	164	35	variable	variable	NOUN
ajst-19204	164	36	(	(	PUNCT
ajst-19204	164	37	class	class	NOUN
ajst-19204	164	38	)	)	PUNCT
ajst-19204	164	39	.	.	PUNCT
ajst-19204	165	1	by	by	ADP
ajst-19204	165	2	sorting	sort	VERB
ajst-19204	165	3	,	,	PUNCT
ajst-19204	165	4	the	the	DET
ajst-19204	165	5	features	feature	NOUN
ajst-19204	165	6	with	with	ADP
ajst-19204	165	7	the	the	DET
ajst-19204	165	8	highest	high	ADJ
ajst-19204	165	9	correlation	correlation	NOUN
ajst-19204	165	10	to	to	ADP
ajst-19204	165	11	the	the	DET
ajst-19204	165	12	target	target	NOUN
ajst-19204	165	13	variable	variable	NOUN
ajst-19204	165	14	are	be	AUX
ajst-19204	165	15	ranked	rank	VERB
ajst-19204	165	16	first	first	ADV
ajst-19204	165	17	.	.	PUNCT
ajst-19204	166	1	the	the	DET
ajst-19204	166	2	numbers	number	NOUN
ajst-19204	166	3	in	in	ADP
ajst-19204	166	4	the	the	DET
ajst-19204	166	5	thermal	thermal	ADJ
ajst-19204	166	6	map	map	NOUN
ajst-19204	166	7	represent	represent	VERB
ajst-19204	166	8	the	the	DET
ajst-19204	166	9	coefficient	coefficient	NOUN
ajst-19204	166	10	of	of	ADP
ajst-19204	166	11	correlation	correlation	NOUN
ajst-19204	166	12	between	between	ADP
ajst-19204	166	13	each	each	DET
ajst-19204	166	14	feature	feature	NOUN
ajst-19204	166	15	and	and	CCONJ
ajst-19204	166	16	the	the	DET
ajst-19204	166	17	target	target	NOUN
ajst-19204	166	18	variable	variable	NOUN
ajst-19204	166	19	,	,	PUNCT
ajst-19204	166	20	with	with	ADP
ajst-19204	166	21	positive	positive	ADJ
ajst-19204	166	22	values	value	NOUN
ajst-19204	166	23	indicating	indicate	VERB
ajst-19204	166	24	a	a	DET
ajst-19204	166	25	positive	positive	ADJ
ajst-19204	166	26	correlation	correlation	NOUN
ajst-19204	166	27	and	and	CCONJ
ajst-19204	166	28	negative	negative	ADJ
ajst-19204	166	29	values	value	NOUN
ajst-19204	166	30	indicating	indicate	VERB
ajst-19204	166	31	a	a	DET
ajst-19204	166	32	negative	negative	ADJ
ajst-19204	166	33	correlation	correlation	NOUN
ajst-19204	166	34	.	.	PUNCT
ajst-19204	167	1	3.5	3.5	NUM
ajst-19204	167	2	.	.	PUNCT
ajst-19204	167	3	model	model	NOUN
ajst-19204	167	4	building	build	VERB
ajst-19204	167	5	this	this	DET
ajst-19204	167	6	paper	paper	NOUN
ajst-19204	167	7	evaluates	evaluate	VERB
ajst-19204	167	8	the	the	DET
ajst-19204	167	9	performance	performance	NOUN
ajst-19204	167	10	of	of	ADP
ajst-19204	167	11	multiple	multiple	ADJ
ajst-19204	167	12	machine	machine	NOUN
ajst-19204	167	13	learning	learning	NOUN
ajst-19204	167	14	models	model	NOUN
ajst-19204	167	15	on	on	ADP
ajst-19204	167	16	a	a	DET
ajst-19204	167	17	credit	credit	NOUN
ajst-19204	167	18	score	score	NOUN
ajst-19204	167	19	dataset	dataset	VERB
ajst-19204	167	20	by	by	ADP
ajst-19204	167	21	modeling	modeling	NOUN
ajst-19204	167	22	and	and	CCONJ
ajst-19204	167	23	analyzing	analyze	VERB
ajst-19204	167	24	it	it	PRON
ajst-19204	167	25	.	.	PUNCT
ajst-19204	168	1	among	among	ADP
ajst-19204	168	2	them	they	PRON
ajst-19204	168	3	,	,	PUNCT
ajst-19204	168	4	random	random	ADJ
ajst-19204	168	5	forest	forest	NOUN
ajst-19204	168	6	model	model	NOUN
ajst-19204	168	7	is	be	AUX
ajst-19204	168	8	one	one	NUM
ajst-19204	168	9	of	of	ADP
ajst-19204	168	10	the	the	DET
ajst-19204	168	11	key	key	ADJ
ajst-19204	168	12	research	research	NOUN
ajst-19204	168	13	objects	object	NOUN
ajst-19204	168	14	.	.	PUNCT
ajst-19204	169	1	by	by	ADP
ajst-19204	169	2	training	training	NOUN
ajst-19204	169	3	and	and	CCONJ
ajst-19204	169	4	testing	test	VERB
ajst-19204	169	5	the	the	DET
ajst-19204	169	6	xgboost	xgboost	PROPN
ajst-19204	169	7	model	model	PROPN
ajst-19204	169	8	,	,	PUNCT
ajst-19204	169	9	we	we	PRON
ajst-19204	169	10	get	get	VERB
ajst-19204	169	11	the	the	DET
ajst-19204	169	12	corresponding	corresponding	ADJ
ajst-19204	169	13	performance	performance	NOUN
ajst-19204	169	14	indicators	indicator	NOUN
ajst-19204	169	15	,	,	PUNCT
ajst-19204	169	16	including	include	VERB
ajst-19204	169	17	[	[	X
ajst-19204	169	18	21]accuracy	21]accuracy	NUM
ajst-19204	169	19	and	and	CCONJ
ajst-19204	169	20	f1	f1	NOUN
ajst-19204	169	21	scores	score	NOUN
ajst-19204	169	22	.	.	PUNCT
ajst-19204	170	1	the	the	DET
ajst-19204	170	2	accuracy	accuracy	NOUN
ajst-19204	170	3	indicator	indicator	NOUN
ajst-19204	170	4	reflects	reflect	VERB
ajst-19204	170	5	the	the	DET
ajst-19204	170	6	accuracy	accuracy	NOUN
ajst-19204	170	7	of	of	ADP
ajst-19204	170	8	the	the	DET
ajst-19204	170	9	model	model	NOUN
ajst-19204	170	10	in	in	ADP
ajst-19204	170	11	the	the	DET
ajst-19204	170	12	overall	overall	ADJ
ajst-19204	170	13	prediction	prediction	NOUN
ajst-19204	170	14	,	,	PUNCT
ajst-19204	170	15	while	while	SCONJ
ajst-19204	170	16	the	the	DET
ajst-19204	170	17	f1	f1	NOUN
ajst-19204	170	18	score	score	NOUN
ajst-19204	170	19	takes	take	VERB
ajst-19204	170	20	into	into	ADP
ajst-19204	170	21	account	account	NOUN
ajst-19204	170	22	the	the	DET
ajst-19204	170	23	accuracy	accuracy	NOUN
ajst-19204	170	24	and	and	CCONJ
ajst-19204	170	25	recall	recall	NOUN
ajst-19204	170	26	of	of	ADP
ajst-19204	170	27	the	the	DET
ajst-19204	170	28	model	model	NOUN
ajst-19204	170	29	to	to	PART
ajst-19204	170	30	provide	provide	VERB
ajst-19204	170	31	a	a	DET
ajst-19204	170	32	more	more	ADV
ajst-19204	170	33	comprehensive	comprehensive	ADJ
ajst-19204	170	34	assessment	assessment	NOUN
ajst-19204	170	35	.	.	PUNCT
ajst-19204	170	36	  	  	SPACE
ajst-19204	170	37	figure	figure	NOUN
ajst-19204	170	38	6	6	NUM
ajst-19204	170	39	.	.	PUNCT
ajst-19204	170	40	random	random	ADJ
ajst-19204	170	41	forest	forest	NOUN
ajst-19204	170	42	model	model	NOUN
ajst-19204	170	43	  	  	SPACE
ajst-19204	170	44	figure	figure	NOUN
ajst-19204	170	45	7	7	NUM
ajst-19204	170	46	.	.	PUNCT
ajst-19204	170	47	random	random	ADJ
ajst-19204	170	48	forest	forest	NOUN
ajst-19204	170	49	performance	performance	NOUN
ajst-19204	170	50	indicators	indicator	NOUN
ajst-19204	170	51	297	297	NUM
ajst-19204	170	52	  	  	SPACE
ajst-19204	170	53	in	in	ADP
ajst-19204	170	54	the	the	DET
ajst-19204	170	55	given	give	VERB
ajst-19204	170	56	data	datum	NOUN
ajst-19204	170	57	,	,	PUNCT
ajst-19204	170	58	the	the	DET
ajst-19204	170	59	performance	performance	NOUN
ajst-19204	170	60	of	of	ADP
ajst-19204	170	61	the	the	DET
ajst-19204	170	62	random	random	ADJ
ajst-19204	170	63	forest	forest	NOUN
ajst-19204	170	64	model	model	NOUN
ajst-19204	170	65	on	on	ADP
ajst-19204	170	66	the	the	DET
ajst-19204	170	67	test	test	NOUN
ajst-19204	170	68	set	set	NOUN
ajst-19204	170	69	is	be	AUX
ajst-19204	170	70	also	also	ADV
ajst-19204	170	71	quite	quite	ADV
ajst-19204	170	72	satisfactory	satisfactory	ADJ
ajst-19204	170	73	.	.	PUNCT
ajst-19204	171	1	according	accord	VERB
ajst-19204	171	2	to	to	ADP
ajst-19204	171	3	the	the	DET
ajst-19204	171	4	results	result	NOUN
ajst-19204	171	5	provided	provide	VERB
ajst-19204	171	6	,	,	PUNCT
ajst-19204	171	7	the	the	DET
ajst-19204	171	8	accuracy	accuracy	NOUN
ajst-19204	171	9	of	of	ADP
ajst-19204	171	10	the	the	DET
ajst-19204	171	11	random	random	ADJ
ajst-19204	171	12	forest	forest	NOUN
ajst-19204	171	13	model	model	NOUN
ajst-19204	171	14	is	be	AUX
ajst-19204	171	15	0.82	0.82	NUM
ajst-19204	171	16	,	,	PUNCT
ajst-19204	171	17	the	the	DET
ajst-19204	171	18	f1	f1	NOUN
ajst-19204	171	19	score	score	NOUN
ajst-19204	171	20	is	be	AUX
ajst-19204	171	21	0.82	0.82	NUM
ajst-19204	171	22	,	,	PUNCT
ajst-19204	171	23	the	the	DET
ajst-19204	171	24	recall	recall	NOUN
ajst-19204	171	25	rate	rate	NOUN
ajst-19204	171	26	is	be	AUX
ajst-19204	171	27	0.80	0.80	NUM
ajst-19204	171	28	,	,	PUNCT
ajst-19204	171	29	and	and	CCONJ
ajst-19204	171	30	the	the	DET
ajst-19204	171	31	precision	precision	NOUN
ajst-19204	171	32	rate	rate	NOUN
ajst-19204	171	33	is	be	AUX
ajst-19204	171	34	0.84	0.84	NUM
ajst-19204	171	35	.	.	PUNCT
ajst-19204	172	1	these	these	DET
ajst-19204	172	2	indicators	indicator	NOUN
ajst-19204	172	3	show	show	VERB
ajst-19204	172	4	the	the	DET
ajst-19204	172	5	relatively	relatively	ADV
ajst-19204	172	6	good	good	ADJ
ajst-19204	172	7	performance	performance	NOUN
ajst-19204	172	8	of	of	ADP
ajst-19204	172	9	random	random	ADJ
ajst-19204	172	10	forest	forest	NOUN
ajst-19204	172	11	models	model	NOUN
ajst-19204	172	12	in	in	ADP
ajst-19204	172	13	predicting	predict	VERB
ajst-19204	172	14	target	target	NOUN
ajst-19204	172	15	variables	variable	NOUN
ajst-19204	172	16	.	.	PUNCT
ajst-19204	173	1	while	while	SCONJ
ajst-19204	173	2	random	random	ADJ
ajst-19204	173	3	forest	forest	NOUN
ajst-19204	173	4	is	be	AUX
ajst-19204	173	5	slightly	slightly	ADV
ajst-19204	173	6	less	less	ADV
ajst-19204	173	7	accurate	accurate	ADJ
ajst-19204	173	8	than	than	ADP
ajst-19204	173	9	xgboost	xgboost	ADV
ajst-19204	173	10	,	,	PUNCT
ajst-19204	173	11	it	it	PRON
ajst-19204	173	12	still	still	ADV
ajst-19204	173	13	has	have	VERB
ajst-19204	173	14	high	high	ADJ
ajst-19204	173	15	performance	performance	NOUN
ajst-19204	173	16	.	.	PUNCT
ajst-19204	174	1	given	give	VERB
ajst-19204	174	2	the	the	DET
ajst-19204	174	3	relatively	relatively	ADV
ajst-19204	174	4	low	low	ADJ
ajst-19204	174	5	complexity	complexity	NOUN
ajst-19204	174	6	of	of	ADP
ajst-19204	174	7	the	the	DET
ajst-19204	174	8	random	random	ADJ
ajst-19204	174	9	forest	forest	NOUN
ajst-19204	174	10	model	model	NOUN
ajst-19204	174	11	,	,	PUNCT
ajst-19204	174	12	the	the	DET
ajst-19204	174	13	speed	speed	NOUN
ajst-19204	174	14	of	of	ADP
ajst-19204	174	15	training	training	NOUN
ajst-19204	174	16	is	be	AUX
ajst-19204	174	17	fast	fast	ADJ
ajst-19204	174	18	,	,	PUNCT
ajst-19204	174	19	and	and	CCONJ
ajst-19204	174	20	it	it	PRON
ajst-19204	174	21	is	be	AUX
ajst-19204	174	22	not	not	PART
ajst-19204	174	23	easy	easy	ADJ
ajst-19204	174	24	to	to	PART
ajst-19204	174	25	overfit	overfit	VERB
ajst-19204	174	26	,	,	PUNCT
ajst-19204	174	27	it	it	PRON
ajst-19204	174	28	is	be	AUX
ajst-19204	174	29	a	a	DET
ajst-19204	174	30	very	very	ADV
ajst-19204	174	31	practical	practical	ADJ
ajst-19204	174	32	machine	machine	NOUN
ajst-19204	174	33	learning	learn	VERB
ajst-19204	174	34	model	model	NOUN
ajst-19204	174	35	.	.	PUNCT
ajst-19204	175	1	[	[	X
ajst-19204	175	2	22]in	22]in	NUM
ajst-19204	175	3	some	some	DET
ajst-19204	175	4	cases	case	NOUN
ajst-19204	175	5	,	,	PUNCT
ajst-19204	175	6	random	random	ADJ
ajst-19204	175	7	forests	forest	NOUN
ajst-19204	175	8	may	may	AUX
ajst-19204	175	9	outperform	outperform	VERB
ajst-19204	175	10	xgboost	xgboost	ADV
ajst-19204	175	11	,	,	PUNCT
ajst-19204	175	12	especially	especially	ADV
ajst-19204	175	13	when	when	SCONJ
ajst-19204	175	14	working	work	VERB
ajst-19204	175	15	with	with	ADP
ajst-19204	175	16	large	large	ADJ
ajst-19204	175	17	data	datum	NOUN
ajst-19204	175	18	sets	set	NOUN
ajst-19204	175	19	or	or	CCONJ
ajst-19204	175	20	when	when	SCONJ
ajst-19204	175	21	faster	fast	ADJ
ajst-19204	175	22	training	training	NOUN
ajst-19204	175	23	and	and	CCONJ
ajst-19204	175	24	prediction	prediction	NOUN
ajst-19204	175	25	speeds	speed	NOUN
ajst-19204	175	26	are	be	AUX
ajst-19204	175	27	required	require	VERB
ajst-19204	175	28	.	.	PUNCT
ajst-19204	176	1	therefore	therefore	ADV
ajst-19204	176	2	,	,	PUNCT
ajst-19204	176	3	the	the	DET
ajst-19204	176	4	random	random	ADJ
ajst-19204	176	5	forest	forest	NOUN
ajst-19204	176	6	model	model	NOUN
ajst-19204	176	7	is	be	AUX
ajst-19204	176	8	chosen	choose	VERB
ajst-19204	176	9	for	for	ADP
ajst-19204	176	10	the	the	DET
ajst-19204	176	11	experiment	experiment	NOUN
ajst-19204	176	12	,	,	PUNCT
ajst-19204	176	13	and	and	CCONJ
ajst-19204	176	14	the	the	DET
ajst-19204	176	15	discussion	discussion	NOUN
ajst-19204	176	16	focuses	focus	VERB
ajst-19204	176	17	on	on	ADP
ajst-19204	176	18	the	the	DET
ajst-19204	176	19	performance	performance	NOUN
ajst-19204	176	20	indicators	indicator	NOUN
ajst-19204	176	21	of	of	ADP
ajst-19204	176	22	the	the	DET
ajst-19204	176	23	random	random	ADJ
ajst-19204	176	24	forest	forest	NOUN
ajst-19204	176	25	model	model	NOUN
ajst-19204	176	26	and	and	CCONJ
ajst-19204	176	27	the	the	DET
ajst-19204	176	28	comparison	comparison	NOUN
ajst-19204	176	29	with	with	ADP
ajst-19204	176	30	other	other	ADJ
ajst-19204	176	31	models	model	NOUN
ajst-19204	176	32	(	(	PUNCT
ajst-19204	176	33	such	such	ADJ
ajst-19204	176	34	as	as	ADP
ajst-19204	176	35	xgboost	xgboost	NUM
ajst-19204	176	36	)	)	PUNCT
ajst-19204	176	37	.	.	PUNCT
ajst-19204	177	1	such	such	DET
ajst-19204	177	2	a	a	DET
ajst-19204	177	3	discussion	discussion	NOUN
ajst-19204	177	4	can	can	AUX
ajst-19204	177	5	help	help	VERB
ajst-19204	177	6	readers	reader	NOUN
ajst-19204	177	7	better	well	ADV
ajst-19204	177	8	understand	understand	VERB
ajst-19204	177	9	the	the	DET
ajst-19204	177	10	advantages	advantage	NOUN
ajst-19204	177	11	and	and	CCONJ
ajst-19204	177	12	applicability	applicability	NOUN
ajst-19204	177	13	of	of	ADP
ajst-19204	177	14	random	random	ADJ
ajst-19204	177	15	forest	forest	NOUN
ajst-19204	177	16	models	model	NOUN
ajst-19204	177	17	in	in	ADP
ajst-19204	177	18	solving	solve	VERB
ajst-19204	177	19	specific	specific	ADJ
ajst-19204	177	20	problems	problem	NOUN
ajst-19204	177	21	.	.	PUNCT
ajst-19204	178	1	4	4	X
ajst-19204	178	2	.	.	X
ajst-19204	178	3	conclusion	conclusion	NOUN
ajst-19204	178	4	to	to	PART
ajst-19204	178	5	sum	sum	VERB
ajst-19204	178	6	up	up	ADP
ajst-19204	178	7	,	,	PUNCT
ajst-19204	178	8	this	this	DET
ajst-19204	178	9	paper	paper	NOUN
ajst-19204	178	10	deeply	deeply	ADV
ajst-19204	178	11	discusses	discuss	VERB
ajst-19204	178	12	the	the	DET
ajst-19204	178	13	application	application	NOUN
ajst-19204	178	14	of	of	ADP
ajst-19204	178	15	random	random	ADJ
ajst-19204	178	16	forest	forest	NOUN
ajst-19204	178	17	model	model	NOUN
ajst-19204	178	18	in	in	ADP
ajst-19204	178	19	financial	financial	ADJ
ajst-19204	178	20	quantitative	quantitative	ADJ
ajst-19204	178	21	transactions	transaction	NOUN
ajst-19204	178	22	,	,	PUNCT
ajst-19204	178	23	and	and	CCONJ
ajst-19204	178	24	proves	prove	VERB
ajst-19204	178	25	its	its	PRON
ajst-19204	178	26	effectiveness	effectiveness	NOUN
ajst-19204	178	27	in	in	ADP
ajst-19204	178	28	credit	credit	NOUN
ajst-19204	178	29	risk	risk	NOUN
ajst-19204	178	30	prediction	prediction	NOUN
ajst-19204	178	31	through	through	ADP
ajst-19204	178	32	experiments	experiment	NOUN
ajst-19204	178	33	.	.	PUNCT
ajst-19204	179	1	stochastic	stochastic	ADJ
ajst-19204	179	2	forest	forest	NOUN
ajst-19204	179	3	model	model	NOUN
ajst-19204	179	4	has	have	AUX
ajst-19204	179	5	shown	show	VERB
ajst-19204	179	6	good	good	ADJ
ajst-19204	179	7	performance	performance	NOUN
ajst-19204	179	8	and	and	CCONJ
ajst-19204	179	9	broad	broad	ADJ
ajst-19204	179	10	application	application	NOUN
ajst-19204	179	11	prospects	prospect	NOUN
ajst-19204	179	12	in	in	ADP
ajst-19204	179	13	the	the	DET
ajst-19204	179	14	financial	financial	ADJ
ajst-19204	179	15	field	field	NOUN
ajst-19204	179	16	,	,	PUNCT
ajst-19204	179	17	and	and	CCONJ
ajst-19204	179	18	provides	provide	VERB
ajst-19204	179	19	reliable	reliable	ADJ
ajst-19204	179	20	risk	risk	NOUN
ajst-19204	179	21	management	management	NOUN
ajst-19204	179	22	and	and	CCONJ
ajst-19204	179	23	transaction	transaction	NOUN
ajst-19204	179	24	decision	decision	NOUN
ajst-19204	179	25	support	support	NOUN
ajst-19204	179	26	for	for	ADP
ajst-19204	179	27	financial	financial	ADJ
ajst-19204	179	28	institutions	institution	NOUN
ajst-19204	179	29	.	.	PUNCT
ajst-19204	180	1	however	however	ADV
ajst-19204	180	2	,	,	PUNCT
ajst-19204	180	3	with	with	ADP
ajst-19204	180	4	the	the	DET
ajst-19204	180	5	continuous	continuous	ADJ
ajst-19204	180	6	development	development	NOUN
ajst-19204	180	7	of	of	ADP
ajst-19204	180	8	artificial	artificial	ADJ
ajst-19204	180	9	intelligence	intelligence	NOUN
ajst-19204	180	10	technology	technology	NOUN
ajst-19204	180	11	,	,	PUNCT
ajst-19204	180	12	we	we	PRON
ajst-19204	180	13	should	should	AUX
ajst-19204	180	14	also	also	ADV
ajst-19204	180	15	pay	pay	VERB
ajst-19204	180	16	attention	attention	NOUN
ajst-19204	180	17	to	to	ADP
ajst-19204	180	18	the	the	DET
ajst-19204	180	19	challenges	challenge	NOUN
ajst-19204	180	20	and	and	CCONJ
ajst-19204	180	21	risks	risk	NOUN
ajst-19204	180	22	facing	face	VERB
ajst-19204	180	23	the	the	DET
ajst-19204	180	24	field	field	NOUN
ajst-19204	180	25	of	of	ADP
ajst-19204	180	26	financial	financial	ADJ
ajst-19204	180	27	quantification	quantification	NOUN
ajst-19204	180	28	.	.	PUNCT
ajst-19204	181	1	in	in	ADP
ajst-19204	181	2	the	the	DET
ajst-19204	181	3	future	future	NOUN
ajst-19204	181	4	,	,	PUNCT
ajst-19204	181	5	we	we	PRON
ajst-19204	181	6	can	can	AUX
ajst-19204	181	7	further	far	ADV
ajst-19204	181	8	use	use	VERB
ajst-19204	181	9	artificial	artificial	ADJ
ajst-19204	181	10	intelligence	intelligence	NOUN
ajst-19204	181	11	technology	technology	NOUN
ajst-19204	181	12	to	to	PART
ajst-19204	181	13	strengthen	strengthen	VERB
ajst-19204	181	14	the	the	DET
ajst-19204	181	15	prevention	prevention	NOUN
ajst-19204	181	16	and	and	CCONJ
ajst-19204	181	17	protection	protection	NOUN
ajst-19204	181	18	of	of	ADP
ajst-19204	181	19	financial	financial	ADJ
ajst-19204	181	20	quantitative	quantitative	ADJ
ajst-19204	181	21	risks	risk	NOUN
ajst-19204	181	22	.	.	PUNCT
ajst-19204	182	1	for	for	ADP
ajst-19204	182	2	example	example	NOUN
ajst-19204	182	3	,	,	PUNCT
ajst-19204	182	4	the	the	DET
ajst-19204	182	5	development	development	NOUN
ajst-19204	182	6	of	of	ADP
ajst-19204	182	7	intelligent	intelligent	ADJ
ajst-19204	182	8	monitoring	monitoring	NOUN
ajst-19204	182	9	system	system	NOUN
ajst-19204	182	10	,	,	PUNCT
ajst-19204	182	11	real	real	ADJ
ajst-19204	182	12	-	-	PUNCT
ajst-19204	182	13	time	time	NOUN
ajst-19204	182	14	monitoring	monitoring	NOUN
ajst-19204	182	15	of	of	ADP
ajst-19204	182	16	financial	financial	ADJ
ajst-19204	182	17	market	market	NOUN
ajst-19204	182	18	changes	change	NOUN
ajst-19204	182	19	and	and	CCONJ
ajst-19204	182	20	timely	timely	ADJ
ajst-19204	182	21	warning	warning	NOUN
ajst-19204	182	22	of	of	ADP
ajst-19204	182	23	potential	potential	ADJ
ajst-19204	182	24	risks	risk	NOUN
ajst-19204	182	25	;	;	PUNCT
ajst-19204	182	26	at	at	ADP
ajst-19204	182	27	the	the	DET
ajst-19204	182	28	same	same	ADJ
ajst-19204	182	29	time	time	NOUN
ajst-19204	182	30	,	,	PUNCT
ajst-19204	182	31	artificial	artificial	ADJ
ajst-19204	182	32	intelligence	intelligence	NOUN
ajst-19204	182	33	technology	technology	NOUN
ajst-19204	182	34	is	be	AUX
ajst-19204	182	35	used	use	VERB
ajst-19204	182	36	to	to	PART
ajst-19204	182	37	improve	improve	VERB
ajst-19204	182	38	the	the	DET
ajst-19204	182	39	security	security	NOUN
ajst-19204	182	40	of	of	ADP
ajst-19204	182	41	financial	financial	ADJ
ajst-19204	182	42	trading	trading	NOUN
ajst-19204	182	43	systems	system	NOUN
ajst-19204	182	44	to	to	PART
ajst-19204	182	45	prevent	prevent	VERB
ajst-19204	182	46	hacker	hacker	NOUN
ajst-19204	182	47	attacks	attack	NOUN
ajst-19204	182	48	and	and	CCONJ
ajst-19204	182	49	data	datum	NOUN
ajst-19204	182	50	leaks	leak	NOUN
ajst-19204	182	51	.	.	PUNCT
ajst-19204	183	1	[	[	X
ajst-19204	183	2	23]through	23]through	NUM
ajst-19204	183	3	continuous	continuous	ADJ
ajst-19204	183	4	innovation	innovation	NOUN
ajst-19204	183	5	and	and	CCONJ
ajst-19204	183	6	improvement	improvement	NOUN
ajst-19204	183	7	of	of	ADP
ajst-19204	183	8	artificial	artificial	ADJ
ajst-19204	183	9	intelligence	intelligence	NOUN
ajst-19204	183	10	technology	technology	NOUN
ajst-19204	183	11	,	,	PUNCT
ajst-19204	183	12	we	we	PRON
ajst-19204	183	13	can	can	AUX
ajst-19204	183	14	establish	establish	VERB
ajst-19204	183	15	a	a	DET
ajst-19204	183	16	more	more	ADV
ajst-19204	183	17	robust	robust	ADJ
ajst-19204	183	18	and	and	CCONJ
ajst-19204	183	19	reliable	reliable	ADJ
ajst-19204	183	20	financial	financial	ADJ
ajst-19204	183	21	quantitative	quantitative	ADJ
ajst-19204	183	22	risk	risk	NOUN
ajst-19204	183	23	management	management	NOUN
ajst-19204	183	24	system	system	NOUN
ajst-19204	183	25	,	,	PUNCT
ajst-19204	183	26	providing	provide	VERB
ajst-19204	183	27	a	a	DET
ajst-19204	183	28	more	more	ADV
ajst-19204	183	29	effective	effective	ADJ
ajst-19204	183	30	guarantee	guarantee	NOUN
ajst-19204	183	31	for	for	ADP
ajst-19204	183	32	the	the	DET
ajst-19204	183	33	stability	stability	NOUN
ajst-19204	183	34	and	and	CCONJ
ajst-19204	183	35	sustainable	sustainable	ADJ
ajst-19204	183	36	development	development	NOUN
ajst-19204	183	37	of	of	ADP
ajst-19204	183	38	the	the	DET
ajst-19204	183	39	financial	financial	ADJ
ajst-19204	183	40	market	market	NOUN
ajst-19204	183	41	.	.	PUNCT
ajst-19204	184	1	in	in	ADP
ajst-19204	184	2	the	the	DET
ajst-19204	184	3	future	future	NOUN
ajst-19204	184	4	,	,	PUNCT
ajst-19204	184	5	we	we	PRON
ajst-19204	184	6	can	can	AUX
ajst-19204	184	7	further	far	ADV
ajst-19204	184	8	explore	explore	VERB
ajst-19204	184	9	how	how	SCONJ
ajst-19204	184	10	to	to	PART
ajst-19204	184	11	use	use	VERB
ajst-19204	184	12	ai	ai	VERB
ajst-19204	184	13	technology	technology	NOUN
ajst-19204	184	14	to	to	PART
ajst-19204	184	15	enhance	enhance	VERB
ajst-19204	184	16	the	the	DET
ajst-19204	184	17	protection	protection	NOUN
ajst-19204	184	18	and	and	CCONJ
ajst-19204	184	19	prevention	prevention	NOUN
ajst-19204	184	20	of	of	ADP
ajst-19204	184	21	financial	financial	ADJ
ajst-19204	184	22	quantitative	quantitative	ADJ
ajst-19204	184	23	risks	risk	NOUN
ajst-19204	184	24	.	.	PUNCT
ajst-19204	185	1	for	for	ADP
ajst-19204	185	2	example	example	NOUN
ajst-19204	185	3	,	,	PUNCT
ajst-19204	185	4	intelligent	intelligent	ADJ
ajst-19204	185	5	monitoring	monitoring	NOUN
ajst-19204	185	6	systems	system	NOUN
ajst-19204	185	7	can	can	AUX
ajst-19204	185	8	be	be	AUX
ajst-19204	185	9	developed	develop	VERB
ajst-19204	185	10	to	to	PART
ajst-19204	185	11	monitor	monitor	VERB
ajst-19204	185	12	changes	change	NOUN
ajst-19204	185	13	in	in	ADP
ajst-19204	185	14	the	the	DET
ajst-19204	185	15	financial	financial	ADJ
ajst-19204	185	16	market	market	NOUN
ajst-19204	185	17	in	in	ADP
ajst-19204	185	18	real	real	ADJ
ajst-19204	185	19	time	time	NOUN
ajst-19204	185	20	and	and	CCONJ
ajst-19204	185	21	warn	warn	VERB
ajst-19204	185	22	potential	potential	ADJ
ajst-19204	185	23	risks	risk	NOUN
ajst-19204	185	24	in	in	ADP
ajst-19204	185	25	time	time	NOUN
ajst-19204	185	26	.	.	PUNCT
ajst-19204	186	1	at	at	ADP
ajst-19204	186	2	the	the	DET
ajst-19204	186	3	same	same	ADJ
ajst-19204	186	4	time	time	NOUN
ajst-19204	186	5	,	,	PUNCT
ajst-19204	186	6	artificial	artificial	ADJ
ajst-19204	186	7	intelligence	intelligence	NOUN
ajst-19204	186	8	technology	technology	NOUN
ajst-19204	186	9	can	can	AUX
ajst-19204	186	10	be	be	AUX
ajst-19204	186	11	used	use	VERB
ajst-19204	186	12	to	to	PART
ajst-19204	186	13	improve	improve	VERB
ajst-19204	186	14	the	the	DET
ajst-19204	186	15	security	security	NOUN
ajst-19204	186	16	of	of	ADP
ajst-19204	186	17	financial	financial	ADJ
ajst-19204	186	18	trading	trading	NOUN
ajst-19204	186	19	systems	system	NOUN
ajst-19204	186	20	to	to	PART
ajst-19204	186	21	prevent	prevent	VERB
ajst-19204	186	22	potential	potential	ADJ
ajst-19204	186	23	hacker	hacker	NOUN
ajst-19204	186	24	attacks	attack	NOUN
ajst-19204	186	25	and	and	CCONJ
ajst-19204	186	26	data	datum	NOUN
ajst-19204	186	27	leaks	leak	NOUN
ajst-19204	186	28	.	.	PUNCT
ajst-19204	187	1	through	through	ADP
ajst-19204	187	2	continuous	continuous	ADJ
ajst-19204	187	3	innovation	innovation	NOUN
ajst-19204	187	4	and	and	CCONJ
ajst-19204	187	5	improvement	improvement	NOUN
ajst-19204	187	6	of	of	ADP
ajst-19204	187	7	artificial	artificial	ADJ
ajst-19204	187	8	intelligence	intelligence	NOUN
ajst-19204	187	9	technology	technology	NOUN
ajst-19204	187	10	,	,	PUNCT
ajst-19204	187	11	a	a	DET
ajst-19204	187	12	more	more	ADV
ajst-19204	187	13	robust	robust	ADJ
ajst-19204	187	14	and	and	CCONJ
ajst-19204	187	15	reliable	reliable	ADJ
ajst-19204	187	16	risk	risk	NOUN
ajst-19204	187	17	management	management	NOUN
ajst-19204	187	18	system	system	NOUN
ajst-19204	187	19	is	be	AUX
ajst-19204	187	20	established	establish	VERB
ajst-19204	187	21	in	in	ADP
ajst-19204	187	22	the	the	DET
ajst-19204	187	23	field	field	NOUN
ajst-19204	187	24	of	of	ADP
ajst-19204	187	25	financial	financial	ADJ
ajst-19204	187	26	quantification	quantification	NOUN
ajst-19204	187	27	,	,	PUNCT
ajst-19204	187	28	and	and	CCONJ
ajst-19204	187	29	a	a	DET
ajst-19204	187	30	more	more	ADV
ajst-19204	187	31	effective	effective	ADJ
ajst-19204	187	32	guarantee	guarantee	NOUN
ajst-19204	187	33	is	be	AUX
ajst-19204	187	34	provided	provide	VERB
ajst-19204	187	35	for	for	ADP
ajst-19204	187	36	the	the	DET
ajst-19204	187	37	stability	stability	NOUN
ajst-19204	187	38	and	and	CCONJ
ajst-19204	187	39	sustainable	sustainable	ADJ
ajst-19204	187	40	development	development	NOUN
ajst-19204	187	41	of	of	ADP
ajst-19204	187	42	the	the	DET
ajst-19204	187	43	financial	financial	ADJ
ajst-19204	187	44	market	market	NOUN
ajst-19204	187	45	.	.	PUNCT
ajst-19204	188	1	acknowledgement	acknowledgement	NOUN
ajst-19204	188	2	in	in	ADP
ajst-19204	188	3	the	the	DET
ajst-19204	188	4	process	process	NOUN
ajst-19204	188	5	of	of	ADP
ajst-19204	188	6	completing	complete	VERB
ajst-19204	188	7	this	this	DET
ajst-19204	188	8	research	research	NOUN
ajst-19204	188	9	paper	paper	NOUN
ajst-19204	188	10	,	,	PUNCT
ajst-19204	188	11	we	we	PRON
ajst-19204	188	12	would	would	AUX
ajst-19204	188	13	like	like	VERB
ajst-19204	188	14	to	to	PART
ajst-19204	188	15	thank	thank	VERB
ajst-19204	188	16	zhu	zhu	PROPN
ajst-19204	188	17	,	,	PUNCT
ajst-19204	188	18	mingwei	mingwei	VERB
ajst-19204	188	19	et	et	PROPN
ajst-19204	188	20	al	al	PROPN
ajst-19204	188	21	for	for	ADP
ajst-19204	188	22	their	their	PRON
ajst-19204	188	23	work	work	NOUN
ajst-19204	188	24	on	on	ADP
ajst-19204	188	25	enhancing	enhance	VERB
ajst-19204	188	26	collaborative	collaborative	ADJ
ajst-19204	188	27	machine	machine	NOUN
ajst-19204	188	28	learning	learn	VERB
ajst-19204	188	29	for	for	ADP
ajst-19204	188	30	security	security	NOUN
ajst-19204	188	31	and	and	CCONJ
ajst-19204	188	32	privacy	privacy	NOUN
ajst-19204	188	33	in	in	ADP
ajst-19204	188	34	federated	federated	ADJ
ajst-19204	188	35	learning	learning	NOUN
ajst-19204	188	36	.	.	PUNCT
ajst-19204	189	1	their	their	PRON
ajst-19204	189	2	research	research	NOUN
ajst-19204	189	3	not	not	PART
ajst-19204	189	4	only	only	ADV
ajst-19204	189	5	provides	provide	VERB
ajst-19204	189	6	us	we	PRON
ajst-19204	189	7	with	with	ADP
ajst-19204	189	8	valuable	valuable	ADJ
ajst-19204	189	9	theoretical	theoretical	ADJ
ajst-19204	189	10	support	support	NOUN
ajst-19204	189	11	and	and	CCONJ
ajst-19204	189	12	reference	reference	NOUN
ajst-19204	189	13	,	,	PUNCT
ajst-19204	189	14	but	but	CCONJ
ajst-19204	189	15	also	also	ADV
ajst-19204	189	16	provides	provide	VERB
ajst-19204	189	17	inspiration	inspiration	NOUN
ajst-19204	189	18	and	and	CCONJ
ajst-19204	189	19	reference	reference	NOUN
ajst-19204	189	20	for	for	ADP
ajst-19204	189	21	our	our	PRON
ajst-19204	189	22	research	research	NOUN
ajst-19204	189	23	.	.	PUNCT
ajst-19204	190	1	in	in	ADP
ajst-19204	190	2	the	the	DET
ajst-19204	190	3	process	process	NOUN
ajst-19204	190	4	of	of	ADP
ajst-19204	190	5	writing	writing	NOUN
ajst-19204	190	6	and	and	CCONJ
ajst-19204	190	7	researching	research	VERB
ajst-19204	190	8	this	this	DET
ajst-19204	190	9	paper	paper	NOUN
ajst-19204	190	10	,	,	PUNCT
ajst-19204	190	11	we	we	PRON
ajst-19204	190	12	are	be	AUX
ajst-19204	190	13	deeply	deeply	ADV
ajst-19204	190	14	inspired	inspire	VERB
ajst-19204	190	15	and	and	CCONJ
ajst-19204	190	16	have	have	VERB
ajst-19204	190	17	a	a	DET
ajst-19204	190	18	deeper	deep	ADJ
ajst-19204	190	19	understanding	understanding	NOUN
ajst-19204	190	20	of	of	ADP
ajst-19204	190	21	the	the	DET
ajst-19204	190	22	application	application	NOUN
ajst-19204	190	23	of	of	ADP
ajst-19204	190	24	machine	machine	NOUN
ajst-19204	190	25	learning	learn	VERB
ajst-19204	190	26	algorithms	algorithm	NOUN
ajst-19204	190	27	in	in	ADP
ajst-19204	190	28	the	the	DET
ajst-19204	190	29	quantitative	quantitative	ADJ
ajst-19204	190	30	model	model	NOUN
ajst-19204	190	31	of	of	ADP
ajst-19204	190	32	financial	financial	ADJ
ajst-19204	190	33	credit	credit	NOUN
ajst-19204	190	34	risk	risk	NOUN
ajst-19204	190	35	.	.	PUNCT
ajst-19204	191	1	we	we	PRON
ajst-19204	191	2	would	would	AUX
ajst-19204	191	3	also	also	ADV
ajst-19204	191	4	like	like	VERB
ajst-19204	191	5	to	to	PART
ajst-19204	191	6	thank	thank	VERB
ajst-19204	191	7	zhu	zhu	PROPN
ajst-19204	191	8	,	,	PUNCT
ajst-19204	191	9	mingwei	mingwei	PROPN
ajst-19204	191	10	et	et	PROPN
ajst-19204	191	11	al	al	PROPN
ajst-19204	191	12	.	.	PROPN
ajst-19204	191	13	,	,	PUNCT
ajst-19204	191	14	and	and	CCONJ
ajst-19204	191	15	their	their	PRON
ajst-19204	191	16	team	team	NOUN
ajst-19204	191	17	for	for	ADP
ajst-19204	191	18	their	their	PRON
ajst-19204	191	19	hard	hard	ADJ
ajst-19204	191	20	work	work	NOUN
ajst-19204	191	21	and	and	CCONJ
ajst-19204	191	22	contributions	contribution	NOUN
ajst-19204	191	23	,	,	PUNCT
ajst-19204	191	24	whose	whose	DET
ajst-19204	191	25	research	research	NOUN
ajst-19204	191	26	has	have	AUX
ajst-19204	191	27	made	make	VERB
ajst-19204	191	28	an	an	DET
ajst-19204	191	29	important	important	ADJ
ajst-19204	191	30	contribution	contribution	NOUN
ajst-19204	191	31	to	to	ADP
ajst-19204	191	32	advancing	advance	VERB
ajst-19204	191	33	the	the	DET
ajst-19204	191	34	development	development	NOUN
ajst-19204	191	35	and	and	CCONJ
ajst-19204	191	36	application	application	NOUN
ajst-19204	191	37	of	of	ADP
ajst-19204	191	38	the	the	DET
ajst-19204	191	39	field	field	NOUN
ajst-19204	191	40	of	of	ADP
ajst-19204	191	41	machine	machine	NOUN
ajst-19204	191	42	learning	learning	NOUN
ajst-19204	191	43	.	.	PUNCT
ajst-19204	192	1	references	reference	NOUN
ajst-19204	192	2	[	[	X
ajst-19204	192	3	1	1	NUM
ajst-19204	192	4	]	]	X
ajst-19204	192	5	liu	liu	PROPN
ajst-19204	192	6	,	,	PUNCT
ajst-19204	192	7	beichang	beichang	PROPN
ajst-19204	192	8	,	,	PUNCT
ajst-19204	192	9	et	et	PROPN
ajst-19204	192	10	al	al	PROPN
ajst-19204	192	11	.	.	PUNCT
ajst-19204	193	1	"	"	PUNCT
ajst-19204	193	2	machine	machine	NOUN
ajst-19204	193	3	learning	learn	VERB
ajst-19204	193	4	model	model	NOUN
ajst-19204	193	5	training	training	NOUN
ajst-19204	193	6	and	and	CCONJ
ajst-19204	193	7	practice	practice	NOUN
ajst-19204	193	8	:	:	PUNCT
ajst-19204	193	9	a	a	DET
ajst-19204	193	10	study	study	NOUN
ajst-19204	193	11	on	on	ADP
ajst-19204	193	12	constructing	construct	VERB
ajst-19204	193	13	a	a	DET
ajst-19204	193	14	novel	novel	ADJ
ajst-19204	193	15	drug	drug	NOUN
ajst-19204	193	16	detection	detection	NOUN
ajst-19204	193	17	system	system	NOUN
ajst-19204	193	18	.	.	PUNCT
ajst-19204	193	19	"	"	PUNCT
ajst-19204	194	1	international	international	ADJ
ajst-19204	194	2	journal	journal	NOUN
ajst-19204	194	3	of	of	ADP
ajst-19204	194	4	computer	computer	NOUN
ajst-19204	194	5	science	science	NOUN
ajst-19204	194	6	and	and	CCONJ
ajst-19204	194	7	information	information	NOUN
ajst-19204	194	8	technology	technology	NOUN
ajst-19204	194	9	1.1	1.1	NUM
ajst-19204	194	10	(	(	PUNCT
ajst-19204	194	11	2023	2023	NUM
ajst-19204	194	12	):	):	PUNCT
ajst-19204	194	13	139	139	NUM
ajst-19204	194	14	-	-	SYM
ajst-19204	194	15	146	146	NUM
ajst-19204	194	16	.	.	PUNCT
ajst-19204	195	1	[	[	X
ajst-19204	195	2	2	2	NUM
ajst-19204	195	3	]	]	X
ajst-19204	195	4	wang	wang	PROPN
ajst-19204	195	5	,	,	PUNCT
ajst-19204	195	6	yixu	yixu	NOUN
ajst-19204	195	7	,	,	PUNCT
ajst-19204	195	8	et	et	PROPN
ajst-19204	195	9	al	al	PROPN
ajst-19204	195	10	.	.	PUNCT
ajst-19204	196	1	"	"	PUNCT
ajst-19204	196	2	exploring	explore	VERB
ajst-19204	196	3	new	new	ADJ
ajst-19204	196	4	frontiers	frontier	NOUN
ajst-19204	196	5	of	of	ADP
ajst-19204	196	6	deep	deep	ADJ
ajst-19204	196	7	learning	learning	NOUN
ajst-19204	196	8	in	in	ADP
ajst-19204	196	9	legal	legal	ADJ
ajst-19204	196	10	practice	practice	NOUN
ajst-19204	196	11	:	:	PUNCT
ajst-19204	196	12	a	a	DET
ajst-19204	196	13	case	case	NOUN
ajst-19204	196	14	study	study	NOUN
ajst-19204	196	15	of	of	ADP
ajst-19204	196	16	large	large	ADJ
ajst-19204	196	17	language	language	NOUN
ajst-19204	196	18	models	model	NOUN
ajst-19204	196	19	.	.	PUNCT
ajst-19204	196	20	"	"	PUNCT
ajst-19204	197	1	international	international	ADJ
ajst-19204	197	2	journal	journal	NOUN
ajst-19204	197	3	of	of	ADP
ajst-19204	197	4	computer	computer	NOUN
ajst-19204	197	5	science	science	NOUN
ajst-19204	197	6	and	and	CCONJ
ajst-19204	197	7	information	information	NOUN
ajst-19204	197	8	technology	technology	NOUN
ajst-19204	197	9	1.1	1.1	NUM
ajst-19204	197	10	(	(	PUNCT
ajst-19204	197	11	2023	2023	NUM
ajst-19204	197	12	):	):	PUNCT
ajst-19204	197	13	131	131	NUM
ajst-19204	197	14	-	-	SYM
ajst-19204	197	15	138	138	NUM
ajst-19204	197	16	.	.	PUNCT
ajst-19204	198	1	[	[	X
ajst-19204	198	2	3	3	NUM
ajst-19204	198	3	]	]	X
ajst-19204	198	4	zhou	zhou	PROPN
ajst-19204	198	5	,	,	PUNCT
ajst-19204	198	6	yanlin	yanlin	PROPN
ajst-19204	198	7	,	,	PUNCT
ajst-19204	198	8	et	et	PROPN
ajst-19204	198	9	al	al	PROPN
ajst-19204	198	10	.	.	PUNCT
ajst-19204	199	1	"	"	PUNCT
ajst-19204	199	2	utilizing	utilize	VERB
ajst-19204	199	3	ai	ai	VERB
ajst-19204	199	4	-	-	PUNCT
ajst-19204	199	5	enhanced	enhance	VERB
ajst-19204	199	6	multi	multi	ADJ
ajst-19204	199	7	-	-	ADJ
ajst-19204	199	8	omics	omics	ADJ
ajst-19204	199	9	integration	integration	NOUN
ajst-19204	199	10	for	for	ADP
ajst-19204	199	11	predictive	predictive	ADJ
ajst-19204	199	12	modeling	modeling	NOUN
ajst-19204	199	13	of	of	ADP
ajst-19204	199	14	disease	disease	NOUN
ajst-19204	199	15	susceptibility	susceptibility	NOUN
ajst-19204	199	16	in	in	ADP
ajst-19204	199	17	functional	functional	ADJ
ajst-19204	199	18	phenotypes	phenotype	NOUN
ajst-19204	199	19	.	.	PUNCT
ajst-19204	199	20	"	"	PUNCT
ajst-19204	200	1	journal	journal	NOUN
ajst-19204	200	2	of	of	ADP
ajst-19204	200	3	theory	theory	NOUN
ajst-19204	200	4	and	and	CCONJ
ajst-19204	200	5	practice	practice	NOUN
ajst-19204	200	6	of	of	ADP
ajst-19204	200	7	engineering	engineer	VERB
ajst-19204	200	8	science	science	NOUN
ajst-19204	200	9	4.02	4.02	NUM
ajst-19204	200	10	(	(	PUNCT
ajst-19204	200	11	2024	2024	NUM
ajst-19204	200	12	):	):	PUNCT
ajst-19204	200	13	45	45	NUM
ajst-19204	200	14	-	-	SYM
ajst-19204	200	15	51	51	NUM
ajst-19204	200	16	.	.	PUNCT
ajst-19204	201	1	[	[	X
ajst-19204	201	2	4	4	X
ajst-19204	201	3	]	]	X
ajst-19204	201	4	ji	ji	PROPN
ajst-19204	201	5	,	,	PUNCT
ajst-19204	201	6	huan	huan	PROPN
ajst-19204	201	7	,	,	PUNCT
ajst-19204	201	8	et	et	PROPN
ajst-19204	201	9	al	al	PROPN
ajst-19204	201	10	.	.	PUNCT
ajst-19204	202	1	"	"	PUNCT
ajst-19204	202	2	utilizing	utilize	VERB
ajst-19204	202	3	machine	machine	NOUN
ajst-19204	202	4	learning	learning	NOUN
ajst-19204	202	5	for	for	ADP
ajst-19204	202	6	precise	precise	ADJ
ajst-19204	202	7	audience	audience	NOUN
ajst-19204	202	8	targeting	target	VERB
ajst-19204	202	9	in	in	ADP
ajst-19204	202	10	data	datum	NOUN
ajst-19204	202	11	science	science	NOUN
ajst-19204	202	12	and	and	CCONJ
ajst-19204	202	13	targeted	target	VERB
ajst-19204	202	14	advertising	advertising	NOUN
ajst-19204	202	15	.	.	PUNCT
ajst-19204	202	16	"	"	PUNCT
ajst-19204	203	1	academic	academic	ADJ
ajst-19204	203	2	journal	journal	NOUN
ajst-19204	203	3	of	of	ADP
ajst-19204	203	4	science	science	NOUN
ajst-19204	203	5	and	and	CCONJ
ajst-19204	203	6	technology	technology	NOUN
ajst-19204	203	7	9.2	9.2	NUM
ajst-19204	203	8	(	(	PUNCT
ajst-19204	203	9	2024	2024	NUM
ajst-19204	203	10	):	):	PUNCT
ajst-19204	203	11	215	215	NUM
ajst-19204	203	12	-	-	SYM
ajst-19204	203	13	220	220	NUM
ajst-19204	203	14	.	.	PUNCT
ajst-19204	204	1	[	[	X
ajst-19204	204	2	5	5	NUM
ajst-19204	204	3	]	]	X
ajst-19204	204	4	che	che	X
ajst-19204	204	5	,	,	PUNCT
ajst-19204	204	6	chang	chang	PROPN
ajst-19204	204	7	,	,	PUNCT
ajst-19204	204	8	et	et	PROPN
ajst-19204	204	9	al	al	PROPN
ajst-19204	204	10	.	.	PUNCT
ajst-19204	205	1	"	"	PUNCT
ajst-19204	205	2	deep	deep	ADJ
ajst-19204	205	3	learning	learning	NOUN
ajst-19204	205	4	for	for	ADP
ajst-19204	205	5	precise	precise	ADJ
ajst-19204	205	6	robot	robot	NOUN
ajst-19204	205	7	position	position	NOUN
ajst-19204	205	8	prediction	prediction	NOUN
ajst-19204	205	9	in	in	ADP
ajst-19204	205	10	logistics	logistic	NOUN
ajst-19204	205	11	.	.	PUNCT
ajst-19204	205	12	"	"	PUNCT
ajst-19204	206	1	journal	journal	NOUN
ajst-19204	206	2	of	of	ADP
ajst-19204	206	3	theory	theory	NOUN
ajst-19204	206	4	and	and	CCONJ
ajst-19204	206	5	practice	practice	NOUN
ajst-19204	206	6	of	of	ADP
ajst-19204	206	7	engineering	engineering	NOUN
ajst-19204	206	8	science	science	NOUN
ajst-19204	206	9	3.10	3.10	NUM
ajst-19204	206	10	(	(	PUNCT
ajst-19204	206	11	2023	2023	NUM
ajst-19204	206	12	):	):	PUNCT
ajst-19204	206	13	36	36	NUM
ajst-19204	206	14	-	-	SYM
ajst-19204	206	15	41	41	NUM
ajst-19204	206	16	.	.	PUNCT
ajst-19204	207	1	[	[	X
ajst-19204	207	2	6	6	NUM
ajst-19204	207	3	]	]	X
ajst-19204	207	4	qian	qian	PROPN
ajst-19204	207	5	,	,	PUNCT
ajst-19204	207	6	wenpin	wenpin	PROPN
ajst-19204	207	7	,	,	PUNCT
ajst-19204	207	8	et	et	PROPN
ajst-19204	207	9	al	al	PROPN
ajst-19204	207	10	.	.	PUNCT
ajst-19204	208	1	"	"	PUNCT
ajst-19204	208	2	clinical	clinical	ADJ
ajst-19204	208	3	medical	medical	ADJ
ajst-19204	208	4	detection	detection	NOUN
ajst-19204	208	5	and	and	CCONJ
ajst-19204	208	6	diagnosis	diagnosis	NOUN
ajst-19204	208	7	technology	technology	NOUN
ajst-19204	208	8	based	base	VERB
ajst-19204	208	9	on	on	ADP
ajst-19204	208	10	the	the	DET
ajst-19204	208	11	alexnet	alexnet	ADJ
ajst-19204	208	12	network	network	NOUN
ajst-19204	208	13	model	model	NOUN
ajst-19204	208	14	.	.	PUNCT
ajst-19204	208	15	"	"	PUNCT
ajst-19204	209	1	academic	academic	ADJ
ajst-19204	209	2	journal	journal	NOUN
ajst-19204	209	3	of	of	ADP
ajst-19204	209	4	science	science	NOUN
ajst-19204	209	5	and	and	CCONJ
ajst-19204	209	6	technology	technology	NOUN
ajst-19204	209	7	9.2	9.2	NUM
ajst-19204	209	8	(	(	PUNCT
ajst-19204	209	9	2024	2024	NUM
ajst-19204	209	10	):	):	PUNCT
ajst-19204	209	11	207	207	NUM
ajst-19204	209	12	-	-	SYM
ajst-19204	209	13	211	211	NUM
ajst-19204	209	14	.	.	PUNCT
ajst-19204	210	1	[	[	X
ajst-19204	210	2	7	7	X
ajst-19204	210	3	]	]	X
ajst-19204	210	4	liu	liu	PROPN
ajst-19204	210	5	,	,	PUNCT
ajst-19204	210	6	bo	bo	PROPN
ajst-19204	210	7	,	,	PUNCT
ajst-19204	210	8	et	et	PROPN
ajst-19204	210	9	al	al	PROPN
ajst-19204	210	10	.	.	PUNCT
ajst-19204	211	1	"	"	PUNCT
ajst-19204	211	2	integration	integration	NOUN
ajst-19204	211	3	and	and	CCONJ
ajst-19204	211	4	performance	performance	NOUN
ajst-19204	211	5	analysis	analysis	NOUN
ajst-19204	211	6	of	of	ADP
ajst-19204	211	7	artificial	artificial	ADJ
ajst-19204	211	8	intelligence	intelligence	NOUN
ajst-19204	211	9	and	and	CCONJ
ajst-19204	211	10	computer	computer	NOUN
ajst-19204	211	11	vision	vision	NOUN
ajst-19204	211	12	based	base	VERB
ajst-19204	211	13	on	on	ADP
ajst-19204	211	14	deep	deep	ADJ
ajst-19204	211	15	learning	learning	NOUN
ajst-19204	211	16	algorithms	algorithm	NOUN
ajst-19204	211	17	.	.	PUNCT
ajst-19204	211	18	"	"	PUNCT
ajst-19204	212	1	arxiv	arxiv	PROPN
ajst-19204	212	2	preprint	preprint	NOUN
ajst-19204	212	3	arxiv:2312.12872	arxiv:2312.12872	NOUN
ajst-19204	212	4	(	(	PUNCT
ajst-19204	212	5	2023	2023	NUM
ajst-19204	212	6	)	)	PUNCT
ajst-19204	212	7	.	.	PUNCT
ajst-19204	213	1	[	[	X
ajst-19204	213	2	8	8	NUM
ajst-19204	213	3	]	]	X
ajst-19204	213	4	wang	wang	PROPN
ajst-19204	213	5	,	,	PUNCT
ajst-19204	213	6	h.	h.	PROPN
ajst-19204	213	7	,	,	PUNCT
ajst-19204	213	8	bao	bao	PROPN
ajst-19204	213	9	,	,	PUNCT
ajst-19204	213	10	q.	q.	PROPN
ajst-19204	213	11	,	,	PUNCT
ajst-19204	213	12	shui	shui	PROPN
ajst-19204	213	13	,	,	PUNCT
ajst-19204	213	14	z.	z.	PROPN
ajst-19204	213	15	,	,	PUNCT
ajst-19204	213	16	li	li	PROPN
ajst-19204	213	17	,	,	PUNCT
ajst-19204	213	18	l.	l.	PROPN
ajst-19204	213	19	,	,	PUNCT
ajst-19204	213	20	&	&	CCONJ
ajst-19204	213	21	ji	ji	PROPN
ajst-19204	213	22	,	,	PUNCT
ajst-19204	213	23	h.	h.	PROPN
ajst-19204	213	24	(	(	PUNCT
ajst-19204	213	25	2024	2024	NUM
ajst-19204	213	26	)	)	PUNCT
ajst-19204	213	27	.	.	PUNCT
ajst-19204	214	1	a	a	DET
ajst-19204	214	2	novel	novel	ADJ
ajst-19204	214	3	approach	approach	NOUN
ajst-19204	214	4	to	to	ADP
ajst-19204	214	5	credit	credit	NOUN
ajst-19204	214	6	card	card	NOUN
ajst-19204	214	7	security	security	NOUN
ajst-19204	214	8	with	with	ADP
ajst-19204	214	9	generative	generative	ADJ
ajst-19204	214	10	adversarial	adversarial	ADJ
ajst-19204	214	11	networks	network	NOUN
ajst-19204	214	12	and	and	CCONJ
ajst-19204	214	13	security	security	NOUN
ajst-19204	214	14	assessment	assessment	NOUN
ajst-19204	214	15	.	.	PUNCT
ajst-19204	215	1	[	[	X
ajst-19204	215	2	9	9	NUM
ajst-19204	215	3	]	]	X
ajst-19204	215	4	zeng	zeng	PROPN
ajst-19204	215	5	,	,	PUNCT
ajst-19204	215	6	q.	q.	PROPN
ajst-19204	215	7	,	,	PUNCT
ajst-19204	215	8	sun	sun	PROPN
ajst-19204	215	9	,	,	PUNCT
ajst-19204	215	10	w.	w.	PROPN
ajst-19204	215	11	,	,	PUNCT
ajst-19204	215	12	xu	xu	PROPN
ajst-19204	215	13	,	,	PUNCT
ajst-19204	215	14	j.	j.	PROPN
ajst-19204	215	15	,	,	PUNCT
ajst-19204	215	16	wan	wan	PROPN
ajst-19204	215	17	,	,	PUNCT
ajst-19204	215	18	w.	w.	PROPN
ajst-19204	215	19	,	,	PUNCT
ajst-19204	215	20	&	&	CCONJ
ajst-19204	215	21	pan	pan	PROPN
ajst-19204	215	22	,	,	PUNCT
ajst-19204	215	23	l.	l.	PROPN
ajst-19204	215	24	(	(	PUNCT
ajst-19204	215	25	2024	2024	NUM
ajst-19204	215	26	)	)	PUNCT
ajst-19204	215	27	.	.	PUNCT
ajst-19204	216	1	machine	machine	NOUN
ajst-19204	216	2	learning	learning	NOUN
ajst-19204	216	3	-	-	PUNCT
ajst-19204	216	4	based	base	VERB
ajst-19204	216	5	medical	medical	ADJ
ajst-19204	216	6	imaging	imaging	NOUN
ajst-19204	216	7	detection	detection	NOUN
ajst-19204	216	8	and	and	CCONJ
ajst-19204	216	9	diagnostic	diagnostic	ADJ
ajst-19204	216	10	assistance	assistance	NOUN
ajst-19204	216	11	.	.	PUNCT
ajst-19204	217	1	international	international	ADJ
ajst-19204	217	2	journal	journal	NOUN
ajst-19204	217	3	of	of	ADP
ajst-19204	217	4	computer	computer	NOUN
ajst-19204	217	5	science	science	NOUN
ajst-19204	217	6	and	and	CCONJ
ajst-19204	217	7	information	information	NOUN
ajst-19204	217	8	technology	technology	NOUN
ajst-19204	217	9	,	,	PUNCT
ajst-19204	217	10	2(1	2(1	NUM
ajst-19204	217	11	)	)	PUNCT
ajst-19204	217	12	,	,	PUNCT
ajst-19204	217	13	36	36	NUM
ajst-19204	217	14	-	-	SYM
ajst-19204	217	15	44	44	NUM
ajst-19204	217	16	.	.	PUNCT
ajst-19204	218	1	[	[	X
ajst-19204	218	2	10	10	NUM
ajst-19204	218	3	]	]	X
ajst-19204	218	4	zhu	zhu	PROPN
ajst-19204	218	5	,	,	PUNCT
ajst-19204	218	6	mingwei	mingwei	PROPN
ajst-19204	218	7	,	,	PUNCT
ajst-19204	218	8	et	et	PROPN
ajst-19204	218	9	al	al	PROPN
ajst-19204	218	10	.	.	PUNCT
ajst-19204	219	1	"	"	PUNCT
ajst-19204	219	2	enhancing	enhance	VERB
ajst-19204	219	3	collaborative	collaborative	ADJ
ajst-19204	219	4	machine	machine	NOUN
ajst-19204	219	5	learning	learn	VERB
ajst-19204	219	6	for	for	ADP
ajst-19204	219	7	security	security	NOUN
ajst-19204	219	8	and	and	CCONJ
ajst-19204	219	9	privacy	privacy	NOUN
ajst-19204	219	10	in	in	ADP
ajst-19204	219	11	federated	federated	ADJ
ajst-19204	219	12	learning	learning	NOUN
ajst-19204	219	13	.	.	PUNCT
ajst-19204	219	14	"	"	PUNCT
ajst-19204	220	1	journal	journal	NOUN
ajst-19204	220	2	of	of	ADP
ajst-19204	220	3	theory	theory	NOUN
ajst-19204	220	4	and	and	CCONJ
ajst-19204	220	5	practice	practice	NOUN
ajst-19204	220	6	of	of	ADP
ajst-19204	220	7	engineering	engineer	VERB
ajst-19204	220	8	science	science	NOUN
ajst-19204	220	9	4.02	4.02	NUM
ajst-19204	220	10	(	(	PUNCT
ajst-19204	220	11	2024	2024	NUM
ajst-19204	220	12	):	):	PUNCT
ajst-19204	220	13	74	74	NUM
ajst-19204	220	14	-	-	SYM
ajst-19204	220	15	82	82	NUM
ajst-19204	220	16	.	.	PUNCT
ajst-19204	221	1	[	[	X
ajst-19204	221	2	11	11	NUM
ajst-19204	221	3	]	]	SYM
ajst-19204	221	4	yang	yang	PROPN
ajst-19204	221	5	,	,	PUNCT
ajst-19204	221	6	le	le	X
ajst-19204	221	7	,	,	PUNCT
ajst-19204	221	8	et	et	PROPN
ajst-19204	221	9	al	al	PROPN
ajst-19204	221	10	.	.	PUNCT
ajst-19204	221	11	"	"	PUNCT
ajst-19204	221	12	research	research	NOUN
ajst-19204	221	13	and	and	CCONJ
ajst-19204	221	14	application	application	NOUN
ajst-19204	221	15	of	of	ADP
ajst-19204	221	16	visual	visual	ADJ
ajst-19204	221	17	object	object	NOUN
ajst-19204	221	18	recognition	recognition	NOUN
ajst-19204	221	19	system	system	NOUN
ajst-19204	221	20	based	base	VERB
ajst-19204	221	21	on	on	ADP
ajst-19204	221	22	deep	deep	ADJ
ajst-19204	221	23	learning	learning	NOUN
ajst-19204	221	24	and	and	CCONJ
ajst-19204	221	25	neural	neural	ADJ
ajst-19204	221	26	morphological	morphological	ADJ
ajst-19204	221	27	computation	computation	NOUN
ajst-19204	221	28	.	.	PUNCT
ajst-19204	221	29	"	"	PUNCT
ajst-19204	222	1	international	international	ADJ
ajst-19204	222	2	journal	journal	NOUN
ajst-19204	222	3	of	of	ADP
ajst-19204	222	4	computer	computer	NOUN
ajst-19204	222	5	science	science	NOUN
ajst-19204	222	6	and	and	CCONJ
ajst-19204	222	7	information	information	NOUN
ajst-19204	222	8	technology	technology	NOUN
ajst-19204	222	9	2.1	2.1	NUM
ajst-19204	222	10	(	(	PUNCT
ajst-19204	222	11	2024	2024	NUM
ajst-19204	222	12	):	):	PUNCT
ajst-19204	222	13	1017	1017	NUM
ajst-19204	222	14	.	.	PUNCT
ajst-19204	223	1	[	[	X
ajst-19204	223	2	12	12	NUM
ajst-19204	223	3	]	]	X
ajst-19204	223	4	zhu	zhu	PROPN
ajst-19204	223	5	,	,	PUNCT
ajst-19204	223	6	m.	m.	NOUN
ajst-19204	223	7	,	,	PUNCT
ajst-19204	223	8	zhang	zhang	PROPN
ajst-19204	223	9	,	,	PUNCT
ajst-19204	223	10	y.	y.	PROPN
ajst-19204	223	11	,	,	PUNCT
ajst-19204	223	12	gong	gong	PROPN
ajst-19204	223	13	,	,	PUNCT
ajst-19204	223	14	y.	y.	PROPN
ajst-19204	223	15	,	,	PUNCT
ajst-19204	223	16	xing	xing	PROPN
ajst-19204	223	17	,	,	PUNCT
ajst-19204	223	18	k.	k.	PROPN
ajst-19204	223	19	,	,	PUNCT
ajst-19204	223	20	yan	yan	PROPN
ajst-19204	223	21	,	,	PUNCT
ajst-19204	223	22	x.	x.	NOUN
ajst-19204	223	23	,	,	PUNCT
ajst-19204	223	24	&	&	CCONJ
ajst-19204	223	25	song	song	PROPN
ajst-19204	223	26	,	,	PUNCT
ajst-19204	223	27	j.	j.	PROPN
ajst-19204	223	28	(	(	PUNCT
ajst-19204	223	29	2024	2024	NUM
ajst-19204	223	30	)	)	PUNCT
ajst-19204	223	31	.	.	PUNCT
ajst-19204	224	1	ensemble	ensemble	ADJ
ajst-19204	224	2	methodology	methodology	NOUN
ajst-19204	224	3	:	:	PUNCT
ajst-19204	224	4	innovations	innovation	NOUN
ajst-19204	224	5	in	in	ADP
ajst-19204	224	6	credit	credit	NOUN
ajst-19204	224	7	default	default	NOUN
ajst-19204	224	8	298	298	NUM
ajst-19204	224	9	prediction	prediction	NOUN
ajst-19204	224	10	using	use	VERB
ajst-19204	224	11	lightgbm	lightgbm	ADJ
ajst-19204	224	12	,	,	PUNCT
ajst-19204	224	13	xgboost	xgboost	ADV
ajst-19204	224	14	,	,	PUNCT
ajst-19204	224	15	and	and	CCONJ
ajst-19204	224	16	localensemble	localensemble	ADJ
ajst-19204	224	17	.	.	PUNCT
ajst-19204	225	1	arxiv	arxiv	PROPN
ajst-19204	225	2	preprint	preprint	VERB
ajst-19204	225	3	arxiv:2402.17979	arxiv:2402.17979	PROPN
ajst-19204	225	4	.	.	PUNCT
ajst-19204	226	1	[	[	X
ajst-19204	226	2	13	13	NUM
ajst-19204	226	3	]	]	SYM
ajst-19204	226	4	hu	hu	PROPN
ajst-19204	226	5	,	,	PUNCT
ajst-19204	226	6	hao	hao	PROPN
ajst-19204	226	7	,	,	PUNCT
ajst-19204	226	8	et	et	PROPN
ajst-19204	226	9	al	al	PROPN
ajst-19204	226	10	.	.	PUNCT
ajst-19204	227	1	"	"	PUNCT
ajst-19204	227	2	casting	cast	VERB
ajst-19204	227	3	product	product	NOUN
ajst-19204	227	4	image	image	NOUN
ajst-19204	227	5	data	datum	NOUN
ajst-19204	227	6	for	for	ADP
ajst-19204	227	7	quality	quality	NOUN
ajst-19204	227	8	inspection	inspection	NOUN
ajst-19204	227	9	with	with	ADP
ajst-19204	227	10	xception	xception	NOUN
ajst-19204	227	11	and	and	CCONJ
ajst-19204	227	12	data	datum	NOUN
ajst-19204	227	13	augmentation	augmentation	NOUN
ajst-19204	227	14	.	.	PUNCT
ajst-19204	227	15	"	"	PUNCT
ajst-19204	228	1	journal	journal	NOUN
ajst-19204	228	2	of	of	ADP
ajst-19204	228	3	theory	theory	NOUN
ajst-19204	228	4	and	and	CCONJ
ajst-19204	228	5	practice	practice	NOUN
ajst-19204	228	6	of	of	ADP
ajst-19204	228	7	engineering	engineering	NOUN
ajst-19204	228	8	science	science	NOUN
ajst-19204	228	9	3.10	3.10	NUM
ajst-19204	228	10	(	(	PUNCT
ajst-19204	228	11	2023	2023	NUM
ajst-19204	228	12	):	):	PUNCT
ajst-19204	228	13	4246	4246	NUM
ajst-19204	228	14	.	.	PUNCT
ajst-19204	229	1	[	[	X
ajst-19204	229	2	14	14	NUM
ajst-19204	229	3	]	]	SYM
ajst-19204	229	4	che	che	PROPN
ajst-19204	229	5	,	,	PUNCT
ajst-19204	229	6	chang	chang	PROPN
ajst-19204	229	7	,	,	PUNCT
ajst-19204	229	8	et	et	PROPN
ajst-19204	229	9	al	al	PROPN
ajst-19204	229	10	.	.	PUNCT
ajst-19204	230	1	"	"	PUNCT
ajst-19204	230	2	enhancing	enhance	VERB
ajst-19204	230	3	multimodal	multimodal	ADJ
ajst-19204	230	4	understanding	understanding	NOUN
ajst-19204	230	5	with	with	ADP
ajst-19204	230	6	clip	clip	NOUN
ajst-19204	230	7	-	-	PUNCT
ajst-19204	230	8	based	base	VERB
ajst-19204	230	9	image	image	NOUN
ajst-19204	230	10	-	-	PUNCT
ajst-19204	230	11	to	to	ADP
ajst-19204	230	12	-	-	PUNCT
ajst-19204	230	13	text	text	NOUN
ajst-19204	230	14	transformation	transformation	NOUN
ajst-19204	230	15	.	.	PUNCT
ajst-19204	230	16	"	"	PUNCT
ajst-19204	230	17	proceedings	proceeding	NOUN
ajst-19204	230	18	of	of	ADP
ajst-19204	230	19	the	the	DET
ajst-19204	230	20	2023	2023	NUM
ajst-19204	230	21	6th	6th	ADJ
ajst-19204	230	22	international	international	ADJ
ajst-19204	230	23	conference	conference	NOUN
ajst-19204	230	24	on	on	ADP
ajst-19204	230	25	big	big	ADJ
ajst-19204	230	26	data	datum	NOUN
ajst-19204	230	27	technologies	technology	NOUN
ajst-19204	230	28	.	.	PUNCT
ajst-19204	231	1	2023	2023	NUM
ajst-19204	231	2	.	.	PUNCT
ajst-19204	232	1	[	[	X
ajst-19204	232	2	15	15	NUM
ajst-19204	232	3	]	]	X
ajst-19204	232	4	huang	huang	PROPN
ajst-19204	232	5	,	,	PUNCT
ajst-19204	232	6	jiaxin	jiaxin	PROPN
ajst-19204	232	7	,	,	PUNCT
ajst-19204	232	8	et	et	PROPN
ajst-19204	232	9	al	al	PROPN
ajst-19204	232	10	.	.	PUNCT
ajst-19204	233	1	"	"	PUNCT
ajst-19204	233	2	enhancing	enhance	VERB
ajst-19204	233	3	essay	essay	NOUN
ajst-19204	233	4	scoring	score	VERB
ajst-19204	233	5	with	with	ADP
ajst-19204	233	6	adversarial	adversarial	ADJ
ajst-19204	233	7	weights	weight	NOUN
ajst-19204	233	8	perturbation	perturbation	NOUN
ajst-19204	233	9	and	and	CCONJ
ajst-19204	233	10	metric	metric	ADJ
ajst-19204	233	11	-	-	PUNCT
ajst-19204	233	12	specific	specific	ADJ
ajst-19204	233	13	attentionpooling	attentionpooling	NOUN
ajst-19204	233	14	.	.	PUNCT
ajst-19204	233	15	"	"	PUNCT
ajst-19204	234	1	arxiv	arxiv	PROPN
ajst-19204	234	2	preprint	preprint	VERB
ajst-19204	234	3	arxiv:2401.05433	arxiv:2401.05433	PROPN
ajst-19204	234	4	(	(	PUNCT
ajst-19204	234	5	2024	2024	NUM
ajst-19204	234	6	)	)	PUNCT
ajst-19204	234	7	.	.	PUNCT
ajst-19204	235	1	[	[	X
ajst-19204	235	2	16	16	NUM
ajst-19204	235	3	]	]	PUNCT
ajst-19204	235	4	k.	k.	PROPN
ajst-19204	235	5	xu	xu	PROPN
ajst-19204	235	6	,	,	PUNCT
ajst-19204	235	7	x.	x.	PROPN
ajst-19204	235	8	wang	wang	PROPN
ajst-19204	235	9	,	,	PUNCT
ajst-19204	235	10	z.	z.	PROPN
ajst-19204	235	11	hu	hu	PROPN
ajst-19204	235	12	and	and	CCONJ
ajst-19204	235	13	z.	z.	PROPN
ajst-19204	235	14	zhang	zhang	PROPN
ajst-19204	235	15	,	,	PUNCT
ajst-19204	235	16	"	"	PUNCT
ajst-19204	235	17	3d	3d	NUM
ajst-19204	235	18	face	face	NOUN
ajst-19204	235	19	recognition	recognition	NOUN
ajst-19204	235	20	based	base	VERB
ajst-19204	235	21	on	on	ADP
ajst-19204	235	22	twin	twin	ADJ
ajst-19204	235	23	neural	neural	ADJ
ajst-19204	235	24	network	network	NOUN
ajst-19204	235	25	combining	combine	VERB
ajst-19204	235	26	deep	deep	ADJ
ajst-19204	235	27	map	map	NOUN
ajst-19204	235	28	and	and	CCONJ
ajst-19204	235	29	texture	texture	NOUN
ajst-19204	235	30	,	,	PUNCT
ajst-19204	235	31	"	"	PUNCT
ajst-19204	235	32	2019	2019	NUM
ajst-19204	235	33	ieee	ieee	NOUN
ajst-19204	235	34	19th	19th	ADJ
ajst-19204	235	35	international	international	ADJ
ajst-19204	235	36	conference	conference	NOUN
ajst-19204	235	37	on	on	ADP
ajst-19204	235	38	communication	communication	NOUN
ajst-19204	235	39	technology	technology	NOUN
ajst-19204	235	40	(	(	PUNCT
ajst-19204	235	41	icct	icct	NOUN
ajst-19204	235	42	)	)	PUNCT
ajst-19204	235	43	,	,	PUNCT
ajst-19204	235	44	xi'an	xi'an	PROPN
ajst-19204	235	45	,	,	PUNCT
ajst-19204	235	46	china	china	PROPN
ajst-19204	235	47	,	,	PUNCT
ajst-19204	235	48	2019	2019	NUM
ajst-19204	235	49	,	,	PUNCT
ajst-19204	235	50	pp	pp	ADJ
ajst-19204	235	51	.	.	PUNCT
ajst-19204	236	1	1665	1665	NUM
ajst-19204	236	2	-	-	SYM
ajst-19204	236	3	1668	1668	NUM
ajst-19204	236	4	,	,	PUNCT
ajst-19204	236	5	doi	doi	NOUN
ajst-19204	236	6	:	:	PUNCT
ajst-19204	236	7	10.1109	10.1109	NUM
ajst-19204	236	8	/	/	SYM
ajst-19204	236	9	icct46805.2019.8947113	icct46805.2019.8947113	PROPN
ajst-19204	236	10	.	.	PUNCT
ajst-19204	237	1	[	[	X
ajst-19204	237	2	17	17	NUM
ajst-19204	237	3	]	]	X
ajst-19204	237	4	yu	yu	PROPN
ajst-19204	237	5	,	,	PUNCT
ajst-19204	237	6	liqiang	liqiang	PROPN
ajst-19204	237	7	,	,	PUNCT
ajst-19204	237	8	et	et	PROPN
ajst-19204	237	9	al	al	PROPN
ajst-19204	237	10	.	.	PUNCT
ajst-19204	238	1	"	"	PUNCT
ajst-19204	238	2	semantic	semantic	ADJ
ajst-19204	238	3	similarity	similarity	NOUN
ajst-19204	238	4	matching	match	VERB
ajst-19204	238	5	for	for	ADP
ajst-19204	238	6	patent	patent	NOUN
ajst-19204	238	7	documents	document	NOUN
ajst-19204	238	8	using	use	VERB
ajst-19204	238	9	ensemble	ensemble	ADJ
ajst-19204	238	10	bert	bert	NOUN
ajst-19204	238	11	-	-	PUNCT
ajst-19204	238	12	related	relate	VERB
ajst-19204	238	13	model	model	NOUN
ajst-19204	238	14	and	and	CCONJ
ajst-19204	238	15	novel	novel	ADJ
ajst-19204	238	16	text	text	NOUN
ajst-19204	238	17	processing	processing	NOUN
ajst-19204	238	18	method	method	NOUN
ajst-19204	238	19	.	.	PUNCT
ajst-19204	238	20	"	"	PUNCT
ajst-19204	239	1	arxiv	arxiv	PROPN
ajst-19204	239	2	preprint	preprint	VERB
ajst-19204	239	3	arxiv:2401.06782	arxiv:2401.06782	NOUN
ajst-19204	239	4	(	(	PUNCT
ajst-19204	239	5	2024	2024	NUM
ajst-19204	239	6	)	)	PUNCT
ajst-19204	239	7	.	.	PUNCT
ajst-19204	240	1	[	[	X
ajst-19204	240	2	18	18	NUM
ajst-19204	240	3	]	]	X
ajst-19204	240	4	zhu	zhu	PROPN
ajst-19204	240	5	,	,	PUNCT
ajst-19204	240	6	mengran	mengran	NOUN
ajst-19204	240	7	,	,	PUNCT
ajst-19204	240	8	et	et	PROPN
ajst-19204	240	9	al	al	PROPN
ajst-19204	240	10	.	.	PUNCT
ajst-19204	241	1	"	"	PUNCT
ajst-19204	241	2	enhancing	enhance	VERB
ajst-19204	241	3	credit	credit	NOUN
ajst-19204	241	4	card	card	NOUN
ajst-19204	241	5	fraud	fraud	NOUN
ajst-19204	241	6	detection	detection	NOUN
ajst-19204	241	7	:	:	PUNCT
ajst-19204	241	8	a	a	DET
ajst-19204	241	9	neural	neural	ADJ
ajst-19204	241	10	network	network	NOUN
ajst-19204	241	11	and	and	CCONJ
ajst-19204	241	12	smote	smote	ADJ
ajst-19204	241	13	integrated	integrate	VERB
ajst-19204	241	14	approach	approach	NOUN
ajst-19204	241	15	.	.	PUNCT
ajst-19204	241	16	"	"	PUNCT
ajst-19204	242	1	journal	journal	NOUN
ajst-19204	242	2	of	of	ADP
ajst-19204	242	3	theory	theory	NOUN
ajst-19204	242	4	and	and	CCONJ
ajst-19204	242	5	practice	practice	NOUN
ajst-19204	242	6	of	of	ADP
ajst-19204	242	7	engineering	engineer	VERB
ajst-19204	242	8	science	science	NOUN
ajst-19204	242	9	4.02	4.02	NUM
ajst-19204	242	10	(	(	PUNCT
ajst-19204	242	11	2024	2024	NUM
ajst-19204	242	12	):	):	PUNCT
ajst-19204	242	13	2330	2330	NUM
ajst-19204	242	14	.	.	PUNCT
ajst-19204	243	1	[	[	X
ajst-19204	243	2	19	19	NUM
ajst-19204	243	3	]	]	X
ajst-19204	243	4	che	che	PROPN
ajst-19204	243	5	,	,	PUNCT
ajst-19204	243	6	chang	chang	PROPN
ajst-19204	243	7	,	,	PUNCT
ajst-19204	243	8	et	et	PROPN
ajst-19204	243	9	al	al	PROPN
ajst-19204	243	10	.	.	PUNCT
ajst-19204	244	1	"	"	PUNCT
ajst-19204	244	2	advancing	advance	VERB
ajst-19204	244	3	cancer	cancer	NOUN
ajst-19204	244	4	document	document	NOUN
ajst-19204	244	5	classification	classification	NOUN
ajst-19204	244	6	with	with	ADP
ajst-19204	244	7	r	r	NOUN
ajst-19204	244	8	andom	andom	NOUN
ajst-19204	244	9	forest	forest	NOUN
ajst-19204	244	10	.	.	PUNCT
ajst-19204	244	11	"	"	PUNCT
ajst-19204	245	1	academic	academic	ADJ
ajst-19204	245	2	journal	journal	NOUN
ajst-19204	245	3	of	of	ADP
ajst-19204	245	4	science	science	NOUN
ajst-19204	245	5	and	and	CCONJ
ajst-19204	245	6	technology	technology	NOUN
ajst-19204	245	7	8.1	8.1	NUM
ajst-19204	245	8	(	(	PUNCT
ajst-19204	245	9	2023	2023	NUM
ajst-19204	245	10	):	):	PUNCT
ajst-19204	245	11	278	278	NUM
ajst-19204	245	12	-	-	SYM
ajst-19204	245	13	280	280	NUM
ajst-19204	245	14	.	.	PUNCT
ajst-19204	246	1	[	[	X
ajst-19204	246	2	20	20	NUM
ajst-19204	246	3	]	]	X
ajst-19204	246	4	lin	lin	PROPN
ajst-19204	246	5	,	,	PUNCT
ajst-19204	246	6	qunwei	qunwei	PROPN
ajst-19204	246	7	,	,	PUNCT
ajst-19204	246	8	et	et	PROPN
ajst-19204	246	9	al	al	PROPN
ajst-19204	246	10	.	.	PUNCT
ajst-19204	247	1	"	"	PUNCT
ajst-19204	247	2	a	a	DET
ajst-19204	247	3	comprehensive	comprehensive	ADJ
ajst-19204	247	4	study	study	NOUN
ajst-19204	247	5	on	on	ADP
ajst-19204	247	6	early	early	PROPN
ajst-19204	247	7	alzheimer	alzheimer	PROPN
ajst-19204	247	8	’s	’s	PART
ajst-19204	247	9	disease	disease	NOUN
ajst-19204	247	10	detection	detection	NOUN
ajst-19204	247	11	through	through	ADP
ajst-19204	247	12	advanced	advanced	ADJ
ajst-19204	247	13	machine	machine	NOUN
ajst-19204	247	14	learning	learn	VERB
ajst-19204	247	15	techniques	technique	NOUN
ajst-19204	247	16	on	on	ADP
ajst-19204	247	17	mri	mri	NOUN
ajst-19204	247	18	data	datum	NOUN
ajst-19204	247	19	.	.	PUNCT
ajst-19204	247	20	"	"	PUNCT
ajst-19204	248	1	academic	academic	ADJ
ajst-19204	248	2	journal	journal	NOUN
ajst-19204	248	3	of	of	ADP
ajst-19204	248	4	science	science	NOUN
ajst-19204	248	5	and	and	CCONJ
ajst-19204	248	6	technology	technology	NOUN
ajst-19204	248	7	8.1	8.1	NUM
ajst-19204	248	8	(	(	PUNCT
ajst-19204	248	9	2023	2023	NUM
ajst-19204	248	10	):	):	PUNCT
ajst-19204	248	11	281	281	NUM
ajst-19204	248	12	-	-	SYM
ajst-19204	248	13	285	285	NUM
ajst-19204	248	14	.	.	PUNCT
ajst-19204	249	1	[	[	X
ajst-19204	249	2	21	21	NUM
ajst-19204	249	3	]	]	SYM
ajst-19204	249	4	li	li	PROPN
ajst-19204	249	5	,	,	PUNCT
ajst-19204	249	6	chen	chen	PROPN
ajst-19204	249	7	,	,	PUNCT
ajst-19204	249	8	et	et	PROPN
ajst-19204	249	9	al	al	PROPN
ajst-19204	249	10	.	.	PUNCT
ajst-19204	249	11	"	"	PUNCT
ajst-19204	249	12	enhancing	enhance	VERB
ajst-19204	249	13	multi	multi	ADJ
ajst-19204	249	14	-	-	ADJ
ajst-19204	249	15	hop	hop	ADJ
ajst-19204	249	16	knowledge	knowledge	NOUN
ajst-19204	249	17	graph	graph	NOUN
ajst-19204	249	18	reasoning	reason	VERB
ajst-19204	249	19	through	through	ADP
ajst-19204	249	20	reward	reward	NOUN
ajst-19204	249	21	shaping	shape	VERB
ajst-19204	249	22	techniques	technique	NOUN
ajst-19204	249	23	.	.	PUNCT
ajst-19204	249	24	"	"	PUNCT
ajst-19204	250	1	arxiv	arxiv	PROPN
ajst-19204	250	2	preprint	preprint	NOUN
ajst-19204	250	3	arxiv:2403.05801	arxiv:2403.05801	NOUN
ajst-19204	250	4	(	(	PUNCT
ajst-19204	250	5	2024	2024	NUM
ajst-19204	250	6	)	)	PUNCT
ajst-19204	250	7	.	.	PUNCT
ajst-19204	251	1	[	[	X
ajst-19204	251	2	22	22	NUM
ajst-19204	251	3	]	]	X
ajst-19204	251	4	cheng	cheng	PROPN
ajst-19204	251	5	,	,	PUNCT
ajst-19204	251	6	q.	q.	PROPN
ajst-19204	251	7	,	,	PUNCT
ajst-19204	251	8	gong	gong	PROPN
ajst-19204	251	9	,	,	PUNCT
ajst-19204	251	10	y.	y.	PROPN
ajst-19204	251	11	,	,	PUNCT
ajst-19204	251	12	qin	qin	PROPN
ajst-19204	251	13	,	,	PUNCT
ajst-19204	251	14	y.	y.	PROPN
ajst-19204	251	15	,	,	PUNCT
ajst-19204	251	16	ao	ao	PROPN
ajst-19204	251	17	,	,	PUNCT
ajst-19204	251	18	x.	x.	PROPN
ajst-19204	251	19	,	,	PUNCT
ajst-19204	251	20	&	&	CCONJ
ajst-19204	251	21	li	li	PROPN
ajst-19204	251	22	,	,	PUNCT
ajst-19204	251	23	z.	z.	PROPN
ajst-19204	251	24	(	(	PUNCT
ajst-19204	251	25	2024	2024	NUM
ajst-19204	251	26	)	)	PUNCT
ajst-19204	251	27	.	.	PUNCT
ajst-19204	252	1	secure	secure	VERB
ajst-19204	252	2	digital	digital	ADJ
ajst-19204	252	3	asset	asset	NOUN
ajst-19204	252	4	transactions	transaction	NOUN
ajst-19204	252	5	:	:	PUNCT
ajst-19204	252	6	integrating	integrate	VERB
ajst-19204	252	7	distributed	distribute	VERB
ajst-19204	252	8	ledger	ledger	NOUN
ajst-19204	252	9	technology	technology	NOUN
ajst-19204	252	10	with	with	ADP
ajst-19204	252	11	safe	safe	ADJ
ajst-19204	252	12	ai	ai	ADJ
ajst-19204	252	13	mechanisms	mechanism	NOUN
ajst-19204	252	14	.	.	PUNCT
ajst-19204	253	1	academic	academic	ADJ
ajst-19204	253	2	journal	journal	NOUN
ajst-19204	253	3	of	of	ADP
ajst-19204	253	4	science	science	NOUN
ajst-19204	253	5	and	and	CCONJ
ajst-19204	253	6	technology	technology	NOUN
ajst-19204	253	7	,	,	PUNCT
ajst-19204	253	8	9(3	9(3	NUM
ajst-19204	253	9	)	)	PUNCT
ajst-19204	253	10	,	,	PUNCT
ajst-19204	253	11	156	156	NUM
ajst-19204	253	12	-	-	SYM
ajst-19204	253	13	161	161	NUM
ajst-19204	253	14	.	.	PUNCT
ajst-19204	254	1	[	[	X
ajst-19204	254	2	23	23	NUM
ajst-19204	254	3	]	]	SYM
ajst-19204	254	4	su	su	PROPN
ajst-19204	254	5	,	,	PUNCT
ajst-19204	254	6	g.	g.	PROPN
ajst-19204	254	7	,	,	PUNCT
ajst-19204	254	8	wang	wang	PROPN
ajst-19204	254	9	,	,	PUNCT
ajst-19204	254	10	j.	j.	PROPN
ajst-19204	254	11	,	,	PUNCT
ajst-19204	254	12	xu	xu	PROPN
ajst-19204	254	13	,	,	PUNCT
ajst-19204	254	14	x.	x.	PROPN
ajst-19204	254	15	,	,	PUNCT
ajst-19204	254	16	wang	wang	PROPN
ajst-19204	254	17	,	,	PUNCT
ajst-19204	254	18	y.	y.	PROPN
ajst-19204	254	19	,	,	PUNCT
ajst-19204	254	20	&	&	CCONJ
ajst-19204	254	21	wang	wang	PROPN
ajst-19204	254	22	,	,	PUNCT
ajst-19204	254	23	c.	c.	PROPN
ajst-19204	254	24	(	(	PUNCT
ajst-19204	254	25	2024	2024	NUM
ajst-19204	254	26	)	)	PUNCT
ajst-19204	254	27	.	.	PUNCT
ajst-19204	255	1	the	the	DET
ajst-19204	255	2	utilization	utilization	NOUN
ajst-19204	255	3	of	of	ADP
ajst-19204	255	4	homomorphic	homomorphic	ADJ
ajst-19204	255	5	encryption	encryption	NOUN
ajst-19204	255	6	technology	technology	NOUN
ajst-19204	255	7	grounded	ground	VERB
ajst-19204	255	8	on	on	ADP
ajst-19204	255	9	artificial	artificial	ADJ
ajst-19204	255	10	intelligence	intelligence	NOUN
ajst-19204	255	11	for	for	ADP
ajst-19204	255	12	privacy	privacy	NOUN
ajst-19204	255	13	preservation	preservation	NOUN
ajst-19204	255	14	.	.	PUNCT
ajst-19204	256	1	international	international	ADJ
ajst-19204	256	2	journal	journal	PROPN
ajst-19204	256	3	of	of	ADP
ajst-19204	256	4	computer	computer	NOUN
ajst-19204	256	5	science	science	NOUN
ajst-19204	256	6	and	and	CCONJ
ajst-19204	256	7	information	information	NOUN
ajst-19204	256	8	technology	technology	NOUN
ajst-19204	256	9	,	,	PUNCT
ajst-19204	256	10	2(1	2(1	NUM
ajst-19204	256	11	)	)	PUNCT
ajst-19204	256	12	,	,	PUNCT
ajst-19204	256	13	52	52	NUM
ajst-19204	256	14	-	-	SYM
ajst-19204	256	15	58	58	NUM
ajst-19204	256	16	.	.	PUNCT