id	sid	tid	token	lemma	pos
ajst-25033	1	1	academic	academic	ADJ
ajst-25033	1	2	journal	journal	NOUN
ajst-25033	1	3	of	of	ADP
ajst-25033	1	4	science	science	NOUN
ajst-25033	1	5	and	and	CCONJ
ajst-25033	1	6	technology	technology	NOUN
ajst-25033	1	7	issn	issn	NOUN
ajst-25033	1	8	:	:	PUNCT
ajst-25033	1	9	2771	2771	NUM
ajst-25033	1	10	-	-	SYM
ajst-25033	1	11	3032	3032	NUM
ajst-25033	1	12	|	|	NOUN
ajst-25033	1	13	vol	vol	NOUN
ajst-25033	1	14	.	.	PROPN
ajst-25033	2	1	12	12	NUM
ajst-25033	2	2	,	,	PUNCT
ajst-25033	2	3	no	no	INTJ
ajst-25033	2	4	.	.	NOUN
ajst-25033	2	5	1	1	NUM
ajst-25033	2	6	,	,	PUNCT
ajst-25033	2	7	2024	2024	NUM
ajst-25033	2	8	261	261	NUM
ajst-25033	2	9	research	research	NOUN
ajst-25033	2	10	on	on	ADP
ajst-25033	2	11	prediction	prediction	NOUN
ajst-25033	2	12	of	of	ADP
ajst-25033	2	13	tennis	tennis	NOUN
ajst-25033	2	14	competition	competition	NOUN
ajst-25033	2	15	fluctuations	fluctuation	NOUN
ajst-25033	2	16	based	base	VERB
ajst-25033	2	17	on	on	ADP
ajst-25033	2	18	critic	critic	ADJ
ajst-25033	2	19	weight	weight	NOUN
ajst-25033	2	20	method	method	NOUN
ajst-25033	2	21	and	and	CCONJ
ajst-25033	2	22	cnnlstm	cnnlstm	NOUN
ajst-25033	2	23	model	model	NOUN
ajst-25033	2	24	rong	rong	PROPN
ajst-25033	2	25	wang	wang	PROPN
ajst-25033	2	26	1	1	NUM
ajst-25033	2	27	,	,	PUNCT
ajst-25033	2	28	#	#	X
ajst-25033	2	29	,	,	PUNCT
ajst-25033	2	30	yujie	yujie	PROPN
ajst-25033	2	31	sun	sun	PROPN
ajst-25033	2	32	2	2	NUM
ajst-25033	2	33	,	,	PUNCT
ajst-25033	2	34	#	#	NOUN
ajst-25033	2	35	1	1	NUM
ajst-25033	2	36	college	college	NOUN
ajst-25033	2	37	of	of	ADP
ajst-25033	2	38	textiles	textile	NOUN
ajst-25033	2	39	,	,	PUNCT
ajst-25033	2	40	donghua	donghua	PROPN
ajst-25033	2	41	university	university	PROPN
ajst-25033	2	42	,	,	PUNCT
ajst-25033	2	43	shanghai	shanghai	PROPN
ajst-25033	2	44	,	,	PUNCT
ajst-25033	2	45	201620	201620	NUM
ajst-25033	2	46	,	,	PUNCT
ajst-25033	2	47	china	china	PROPN
ajst-25033	2	48	2	2	NUM
ajst-25033	2	49	college	college	NOUN
ajst-25033	2	50	of	of	ADP
ajst-25033	2	51	information	information	NOUN
ajst-25033	2	52	science	science	NOUN
ajst-25033	2	53	and	and	CCONJ
ajst-25033	2	54	technology	technology	NOUN
ajst-25033	2	55	,	,	PUNCT
ajst-25033	2	56	donghua	donghua	PROPN
ajst-25033	2	57	university	university	PROPN
ajst-25033	2	58	,	,	PUNCT
ajst-25033	2	59	shanghai	shanghai	PROPN
ajst-25033	2	60	,	,	PUNCT
ajst-25033	2	61	201620	201620	NUM
ajst-25033	2	62	,	,	PUNCT
ajst-25033	2	63	china	china	PROPN
ajst-25033	2	64	#	#	PROPN
ajst-25033	2	65	these	these	DET
ajst-25033	2	66	authors	author	NOUN
ajst-25033	2	67	contributed	contribute	VERB
ajst-25033	2	68	equally	equally	ADV
ajst-25033	2	69	.	.	PUNCT
ajst-25033	3	1	abstract	abstract	ADJ
ajst-25033	3	2	:	:	PUNCT
ajst-25033	3	3	this	this	DET
ajst-25033	3	4	paper	paper	NOUN
ajst-25033	3	5	mainly	mainly	ADV
ajst-25033	3	6	studies	study	VERB
ajst-25033	3	7	the	the	DET
ajst-25033	3	8	correlation	correlation	NOUN
ajst-25033	3	9	between	between	ADP
ajst-25033	3	10	the	the	DET
ajst-25033	3	11	"	"	PUNCT
ajst-25033	3	12	momentum	momentum	NOUN
ajst-25033	3	13	"	"	PUNCT
ajst-25033	3	14	index	index	NOUN
ajst-25033	3	15	and	and	CCONJ
ajst-25033	3	16	match	match	NOUN
ajst-25033	3	17	outcome	outcome	NOUN
ajst-25033	3	18	in	in	ADP
ajst-25033	3	19	tennis	tennis	NOUN
ajst-25033	3	20	matches	match	NOUN
ajst-25033	3	21	,	,	PUNCT
ajst-25033	3	22	and	and	CCONJ
ajst-25033	3	23	establishes	establish	VERB
ajst-25033	3	24	a	a	DET
ajst-25033	3	25	model	model	NOUN
ajst-25033	3	26	to	to	PART
ajst-25033	3	27	predict	predict	VERB
ajst-25033	3	28	competition	competition	NOUN
ajst-25033	3	29	fluctuations	fluctuation	NOUN
ajst-25033	3	30	.	.	PUNCT
ajst-25033	4	1	first	first	ADV
ajst-25033	4	2	,	,	PUNCT
ajst-25033	4	3	the	the	DET
ajst-25033	4	4	index	index	NOUN
ajst-25033	4	5	weights	weight	VERB
ajst-25033	4	6	associated	associate	VERB
ajst-25033	4	7	with	with	ADP
ajst-25033	4	8	"	"	PUNCT
ajst-25033	4	9	momentum	momentum	NOUN
ajst-25033	4	10	"	"	PUNCT
ajst-25033	4	11	were	be	AUX
ajst-25033	4	12	determined	determine	VERB
ajst-25033	4	13	by	by	ADP
ajst-25033	4	14	the	the	DET
ajst-25033	4	15	critic	critic	NOUN
ajst-25033	4	16	weight	weight	NOUN
ajst-25033	4	17	method	method	NOUN
ajst-25033	4	18	,	,	PUNCT
ajst-25033	4	19	and	and	CCONJ
ajst-25033	4	20	the	the	DET
ajst-25033	4	21	spearman	spearman	NOUN
ajst-25033	4	22	correlation	correlation	NOUN
ajst-25033	4	23	coefficient	coefficient	NOUN
ajst-25033	4	24	between	between	ADP
ajst-25033	4	25	"	"	PUNCT
ajst-25033	4	26	momentum	momentum	NOUN
ajst-25033	4	27	"	"	PUNCT
ajst-25033	4	28	and	and	CCONJ
ajst-25033	4	29	"	"	PUNCT
ajst-25033	4	30	performance	performance	NOUN
ajst-25033	4	31	coefficient	coefficient	NOUN
ajst-25033	4	32	"	"	PUNCT
ajst-25033	4	33	was	be	AUX
ajst-25033	4	34	0.479	0.479	NUM
ajst-25033	4	35	,	,	PUNCT
ajst-25033	4	36	which	which	PRON
ajst-25033	4	37	indicated	indicate	VERB
ajst-25033	4	38	that	that	SCONJ
ajst-25033	4	39	there	there	PRON
ajst-25033	4	40	was	be	VERB
ajst-25033	4	41	a	a	DET
ajst-25033	4	42	significant	significant	ADJ
ajst-25033	4	43	correlation	correlation	NOUN
ajst-25033	4	44	between	between	ADP
ajst-25033	4	45	these	these	DET
ajst-25033	4	46	two	two	NUM
ajst-25033	4	47	.	.	PUNCT
ajst-25033	5	1	then	then	ADV
ajst-25033	5	2	,	,	PUNCT
ajst-25033	5	3	this	this	DET
ajst-25033	5	4	paper	paper	NOUN
ajst-25033	5	5	analyzed	analyze	VERB
ajst-25033	5	6	the	the	DET
ajst-25033	5	7	correlation	correlation	NOUN
ajst-25033	5	8	between	between	ADP
ajst-25033	5	9	other	other	ADJ
ajst-25033	5	10	indicators	indicator	NOUN
ajst-25033	5	11	and	and	CCONJ
ajst-25033	5	12	the	the	DET
ajst-25033	5	13	"	"	PUNCT
ajst-25033	5	14	performance	performance	NOUN
ajst-25033	5	15	coefficient	coefficient	NOUN
ajst-25033	5	16	"	"	PUNCT
ajst-25033	5	17	,	,	PUNCT
ajst-25033	5	18	and	and	CCONJ
ajst-25033	5	19	found	find	VERB
ajst-25033	5	20	that	that	SCONJ
ajst-25033	5	21	the	the	DET
ajst-25033	5	22	successful	successful	ADJ
ajst-25033	5	23	first	first	ADJ
ajst-25033	5	24	serve	serve	NOUN
ajst-25033	5	25	,	,	PUNCT
ajst-25033	5	26	unforced	unforced	ADJ
ajst-25033	5	27	error	error	NOUN
ajst-25033	5	28	,	,	PUNCT
ajst-25033	5	29	running	run	VERB
ajst-25033	5	30	distance	distance	NOUN
ajst-25033	5	31	,	,	PUNCT
ajst-25033	5	32	hitting	hit	VERB
ajst-25033	5	33	number	number	NOUN
ajst-25033	5	34	and	and	CCONJ
ajst-25033	5	35	other	other	ADJ
ajst-25033	5	36	indicators	indicator	NOUN
ajst-25033	5	37	had	have	VERB
ajst-25033	5	38	an	an	DET
ajst-25033	5	39	important	important	ADJ
ajst-25033	5	40	influence	influence	NOUN
ajst-25033	5	41	on	on	ADP
ajst-25033	5	42	the	the	DET
ajst-25033	5	43	fluctuation	fluctuation	NOUN
ajst-25033	5	44	of	of	ADP
ajst-25033	5	45	the	the	DET
ajst-25033	5	46	game	game	NOUN
ajst-25033	5	47	.	.	PUNCT
ajst-25033	6	1	in	in	ADP
ajst-25033	6	2	order	order	NOUN
ajst-25033	6	3	to	to	PART
ajst-25033	6	4	predict	predict	VERB
ajst-25033	6	5	competition	competition	NOUN
ajst-25033	6	6	fluctuations	fluctuation	NOUN
ajst-25033	6	7	,	,	PUNCT
ajst-25033	6	8	cnn	cnn	PROPN
ajst-25033	6	9	and	and	CCONJ
ajst-25033	6	10	lstm	lstm	NOUN
ajst-25033	6	11	were	be	AUX
ajst-25033	6	12	combined	combine	VERB
ajst-25033	6	13	to	to	PART
ajst-25033	6	14	form	form	VERB
ajst-25033	6	15	a	a	DET
ajst-25033	6	16	prediction	prediction	NOUN
ajst-25033	6	17	model	model	NOUN
ajst-25033	6	18	,	,	PUNCT
ajst-25033	6	19	with	with	ADP
ajst-25033	6	20	good	good	ADJ
ajst-25033	6	21	results	result	NOUN
ajst-25033	6	22	in	in	ADP
ajst-25033	6	23	the	the	DET
ajst-25033	6	24	2023	2023	NUM
ajst-25033	6	25	wimbledon	wimbledon	PROPN
ajst-25033	6	26	competition	competition	NOUN
ajst-25033	6	27	data	datum	NOUN
ajst-25033	6	28	(	(	PUNCT
ajst-25033	6	29	rmse	rmse	PROPN
ajst-25033	6	30	<	<	X
ajst-25033	6	31	1	1	NUM
ajst-25033	6	32	)	)	PUNCT
ajst-25033	6	33	.	.	PUNCT
ajst-25033	7	1	in	in	ADP
ajst-25033	7	2	addition	addition	NOUN
ajst-25033	7	3	,	,	PUNCT
ajst-25033	7	4	the	the	DET
ajst-25033	7	5	prediction	prediction	NOUN
ajst-25033	7	6	model	model	NOUN
ajst-25033	7	7	was	be	AUX
ajst-25033	7	8	used	use	VERB
ajst-25033	7	9	to	to	PART
ajst-25033	7	10	prove	prove	VERB
ajst-25033	7	11	that	that	SCONJ
ajst-25033	7	12	competition	competition	NOUN
ajst-25033	7	13	fluctuations	fluctuation	NOUN
ajst-25033	7	14	and	and	CCONJ
ajst-25033	7	15	player	player	NOUN
ajst-25033	7	16	wins	win	NOUN
ajst-25033	7	17	are	be	AUX
ajst-25033	7	18	not	not	PART
ajst-25033	7	19	random	random	ADJ
ajst-25033	7	20	,	,	PUNCT
ajst-25033	7	21	and	and	CCONJ
ajst-25033	7	22	using	use	VERB
ajst-25033	7	23	at	at	ADV
ajst-25033	7	24	least	least	ADV
ajst-25033	7	25	one	one	NUM
ajst-25033	7	26	game	game	NOUN
ajst-25033	7	27	data	datum	NOUN
ajst-25033	7	28	to	to	PART
ajst-25033	7	29	explore	explore	VERB
ajst-25033	7	30	the	the	DET
ajst-25033	7	31	factors	factor	NOUN
ajst-25033	7	32	associated	associate	VERB
ajst-25033	7	33	with	with	ADP
ajst-25033	7	34	the	the	DET
ajst-25033	7	35	change	change	NOUN
ajst-25033	7	36	of	of	ADP
ajst-25033	7	37	competition	competition	NOUN
ajst-25033	7	38	situation	situation	NOUN
ajst-25033	7	39	,	,	PUNCT
ajst-25033	7	40	laying	lay	VERB
ajst-25033	7	41	the	the	DET
ajst-25033	7	42	foundation	foundation	NOUN
ajst-25033	7	43	for	for	ADP
ajst-25033	7	44	developing	develop	VERB
ajst-25033	7	45	predictive	predictive	ADJ
ajst-25033	7	46	models	model	NOUN
ajst-25033	7	47	.	.	PUNCT
ajst-25033	8	1	the	the	DET
ajst-25033	8	2	index	index	NOUN
ajst-25033	8	3	weight	weight	NOUN
ajst-25033	8	4	allocation	allocation	NOUN
ajst-25033	8	5	was	be	AUX
ajst-25033	8	6	conducted	conduct	VERB
ajst-25033	8	7	by	by	ADP
ajst-25033	8	8	critic	critic	ADJ
ajst-25033	8	9	method	method	NOUN
ajst-25033	8	10	,	,	PUNCT
ajst-25033	8	11	which	which	PRON
ajst-25033	8	12	explored	explore	VERB
ajst-25033	8	13	the	the	DET
ajst-25033	8	14	relationship	relationship	NOUN
ajst-25033	8	15	between	between	ADP
ajst-25033	8	16	"	"	PUNCT
ajst-25033	8	17	momentum	momentum	NOUN
ajst-25033	8	18	"	"	PUNCT
ajst-25033	8	19	and	and	CCONJ
ajst-25033	8	20	the	the	DET
ajst-25033	8	21	result	result	NOUN
ajst-25033	8	22	of	of	ADP
ajst-25033	8	23	competition	competition	NOUN
ajst-25033	8	24	using	use	VERB
ajst-25033	8	25	spearman	spearman	NOUN
ajst-25033	8	26	correlation	correlation	NOUN
ajst-25033	8	27	analysis	analysis	NOUN
ajst-25033	8	28	,	,	PUNCT
ajst-25033	8	29	established	establish	VERB
ajst-25033	8	30	the	the	DET
ajst-25033	8	31	cnn	cnn	PROPN
ajst-25033	8	32	-	-	PUNCT
ajst-25033	8	33	lstm	lstm	ADJ
ajst-25033	8	34	deep	deep	ADJ
ajst-25033	8	35	learning	learning	NOUN
ajst-25033	8	36	model	model	NOUN
ajst-25033	8	37	for	for	ADP
ajst-25033	8	38	prediction	prediction	NOUN
ajst-25033	8	39	,	,	PUNCT
ajst-25033	8	40	and	and	CCONJ
ajst-25033	8	41	achieved	achieve	VERB
ajst-25033	8	42	high	high	ADJ
ajst-25033	8	43	prediction	prediction	NOUN
ajst-25033	8	44	accuracy	accuracy	NOUN
ajst-25033	8	45	.	.	PUNCT
ajst-25033	9	1	keywords	keyword	NOUN
ajst-25033	9	2	:	:	PUNCT
ajst-25033	9	3	critic	critic	ADJ
ajst-25033	9	4	weight	weight	NOUN
ajst-25033	9	5	method	method	NOUN
ajst-25033	9	6	;	;	PUNCT
ajst-25033	9	7	cnn	cnn	PROPN
ajst-25033	9	8	-	-	PUNCT
ajst-25033	9	9	lstm	lstm	PROPN
ajst-25033	9	10	;	;	PUNCT
ajst-25033	9	11	tennis	tennis	NOUN
ajst-25033	9	12	competition	competition	NOUN
ajst-25033	9	13	fluctuations	fluctuation	NOUN
ajst-25033	9	14	.	.	PUNCT
ajst-25033	10	1	1	1	X
ajst-25033	10	2	.	.	X
ajst-25033	10	3	introduction	introduction	NOUN
ajst-25033	10	4	tennis	tennis	NOUN
ajst-25033	10	5	is	be	AUX
ajst-25033	10	6	elegant	elegant	ADJ
ajst-25033	10	7	and	and	CCONJ
ajst-25033	10	8	intense	intense	ADJ
ajst-25033	10	9	,	,	PUNCT
ajst-25033	10	10	known	know	VERB
ajst-25033	10	11	as	as	ADP
ajst-25033	10	12	the	the	DET
ajst-25033	10	13	world	world	NOUN
ajst-25033	10	14	's	's	PART
ajst-25033	10	15	second	second	ADV
ajst-25033	10	16	largest	large	ADJ
ajst-25033	10	17	ball	ball	NOUN
ajst-25033	10	18	sport	sport	NOUN
ajst-25033	10	19	.	.	PUNCT
ajst-25033	11	1	the	the	DET
ajst-25033	11	2	thrilling	thrilling	ADJ
ajst-25033	11	3	and	and	CCONJ
ajst-25033	11	4	stimulating	stimulate	VERB
ajst-25033	11	5	competition	competition	NOUN
ajst-25033	11	6	process	process	NOUN
ajst-25033	11	7	makes	make	VERB
ajst-25033	11	8	it	it	PRON
ajst-25033	11	9	highly	highly	ADV
ajst-25033	11	10	ornamental	ornamental	ADJ
ajst-25033	11	11	.	.	PUNCT
ajst-25033	12	1	both	both	DET
ajst-25033	12	2	sides	side	NOUN
ajst-25033	12	3	on	on	ADP
ajst-25033	12	4	the	the	DET
ajst-25033	12	5	tennis	tennis	NOUN
ajst-25033	12	6	court	court	NOUN
ajst-25033	12	7	are	be	AUX
ajst-25033	12	8	doing	do	VERB
ajst-25033	12	9	their	their	PRON
ajst-25033	12	10	best	good	ADJ
ajst-25033	12	11	to	to	PART
ajst-25033	12	12	become	become	VERB
ajst-25033	12	13	eternal	eternal	ADJ
ajst-25033	12	14	winners	winner	NOUN
ajst-25033	12	15	.	.	PUNCT
ajst-25033	13	1	seemingly	seemingly	ADV
ajst-25033	13	2	lonely	lonely	ADJ
ajst-25033	13	3	confrontation	confrontation	NOUN
ajst-25033	13	4	exudes	exude	VERB
ajst-25033	13	5	endless	endless	ADJ
ajst-25033	13	6	glory	glory	NOUN
ajst-25033	13	7	and	and	CCONJ
ajst-25033	13	8	confidence	confidence	NOUN
ajst-25033	13	9	,	,	PUNCT
ajst-25033	13	10	which	which	PRON
ajst-25033	13	11	makes	make	VERB
ajst-25033	13	12	it	it	PRON
ajst-25033	13	13	welcomed	welcome	VERB
ajst-25033	13	14	by	by	ADP
ajst-25033	13	15	people	people	NOUN
ajst-25033	13	16	all	all	ADV
ajst-25033	13	17	over	over	ADP
ajst-25033	13	18	the	the	DET
ajst-25033	13	19	world	world	NOUN
ajst-25033	13	20	.	.	PUNCT
ajst-25033	14	1	the	the	DET
ajst-25033	14	2	extraordinary	extraordinary	ADJ
ajst-25033	14	3	performance	performance	NOUN
ajst-25033	14	4	of	of	ADP
ajst-25033	14	5	one	one	NUM
ajst-25033	14	6	of	of	ADP
ajst-25033	14	7	the	the	DET
ajst-25033	14	8	greatest	great	ADJ
ajst-25033	14	9	grand	grand	ADJ
ajst-25033	14	10	slam	slam	NOUN
ajst-25033	14	11	players	player	NOUN
ajst-25033	14	12	ever	ever	ADV
ajst-25033	14	13	ended	end	VERB
ajst-25033	14	14	when	when	SCONJ
ajst-25033	14	15	veteran	veteran	PROPN
ajst-25033	14	16	novak	novak	PROPN
ajst-25033	14	17	djokovic	djokovic	PROPN
ajst-25033	14	18	was	be	AUX
ajst-25033	14	19	defeated	defeat	VERB
ajst-25033	14	20	in	in	ADP
ajst-25033	14	21	the	the	DET
ajst-25033	14	22	2023	2023	NUM
ajst-25033	14	23	wimbledon	wimbledon	PROPN
ajst-25033	14	24	final	final	NOUN
ajst-25033	14	25	by	by	ADP
ajst-25033	14	26	rising	rise	VERB
ajst-25033	14	27	star	star	PROPN
ajst-25033	14	28	carlos	carlos	PROPN
ajst-25033	14	29	alcaras	alcaras	PROPN
ajst-25033	14	30	.	.	PUNCT
ajst-25033	15	1	it	it	PRON
ajst-25033	15	2	was	be	AUX
ajst-25033	15	3	his	his	PRON
ajst-25033	15	4	first	first	ADJ
ajst-25033	15	5	wimbledon	wimbledon	PROPN
ajst-25033	15	6	loss	loss	NOUN
ajst-25033	15	7	since	since	SCONJ
ajst-25033	15	8	2013.these	2013.these	ADJ
ajst-25033	15	9	kinds	kind	NOUN
ajst-25033	15	10	of	of	ADP
ajst-25033	15	11	incredible	incredible	ADJ
ajst-25033	15	12	swings	swing	NOUN
ajst-25033	15	13	,	,	PUNCT
ajst-25033	15	14	always	always	ADV
ajst-25033	15	15	be	be	AUX
ajst-25033	15	16	boiled	boil	VERB
ajst-25033	15	17	down	down	ADP
ajst-25033	15	18	to	to	ADP
ajst-25033	15	19	momentum	momentum	NOUN
ajst-25033	15	20	’s	’s	PART
ajst-25033	15	21	impact	impact	NOUN
ajst-25033	15	22	.	.	PUNCT
ajst-25033	16	1	in	in	ADP
ajst-25033	16	2	sports	sport	NOUN
ajst-25033	16	3	events	event	NOUN
ajst-25033	16	4	,	,	PUNCT
ajst-25033	16	5	a	a	DET
ajst-25033	16	6	team	team	NOUN
ajst-25033	16	7	or	or	CCONJ
ajst-25033	16	8	player	player	NOUN
ajst-25033	16	9	may	may	AUX
ajst-25033	16	10	feel	feel	VERB
ajst-25033	16	11	they	they	PRON
ajst-25033	16	12	have	have	VERB
ajst-25033	16	13	some	some	DET
ajst-25033	16	14	kind	kind	NOUN
ajst-25033	16	15	of	of	ADP
ajst-25033	16	16	power	power	NOUN
ajst-25033	16	17	which	which	PRON
ajst-25033	16	18	make	make	VERB
ajst-25033	16	19	them	they	PRON
ajst-25033	16	20	play	play	VERB
ajst-25033	16	21	better	well	ADV
ajst-25033	16	22	or	or	CCONJ
ajst-25033	16	23	worst	bad	ADJ
ajst-25033	16	24	during	during	ADP
ajst-25033	16	25	a	a	DET
ajst-25033	16	26	match	match	NOUN
ajst-25033	16	27	.	.	PUNCT
ajst-25033	17	1	it	it	PRON
ajst-25033	17	2	seems	seem	VERB
ajst-25033	17	3	self	self	NOUN
ajst-25033	17	4	-	-	PUNCT
ajst-25033	17	5	evident	evident	ADJ
ajst-25033	17	6	that	that	SCONJ
ajst-25033	17	7	it	it	PRON
ajst-25033	17	8	is	be	AUX
ajst-25033	17	9	difficult	difficult	ADJ
ajst-25033	17	10	to	to	PART
ajst-25033	17	11	measure	measure	VERB
ajst-25033	17	12	such	such	DET
ajst-25033	17	13	a	a	DET
ajst-25033	17	14	phenomenon	phenomenon	NOUN
ajst-25033	17	15	.	.	PUNCT
ajst-25033	18	1	nowadays	nowadays	ADV
ajst-25033	18	2	,	,	PUNCT
ajst-25033	18	3	fans	fan	NOUN
ajst-25033	18	4	have	have	AUX
ajst-25033	18	5	become	become	VERB
ajst-25033	18	6	more	more	ADV
ajst-25033	18	7	and	and	CCONJ
ajst-25033	18	8	more	more	ADV
ajst-25033	18	9	enthusiastic	enthusiastic	ADJ
ajst-25033	18	10	about	about	ADP
ajst-25033	18	11	predicting	predict	VERB
ajst-25033	18	12	the	the	DET
ajst-25033	18	13	outcome	outcome	NOUN
ajst-25033	18	14	of	of	ADP
ajst-25033	18	15	games	game	NOUN
ajst-25033	18	16	while	while	SCONJ
ajst-25033	18	17	coaches	coach	NOUN
ajst-25033	18	18	will	will	AUX
ajst-25033	18	19	adjust	adjust	VERB
ajst-25033	18	20	their	their	PRON
ajst-25033	18	21	strategy	strategy	NOUN
ajst-25033	18	22	before	before	ADP
ajst-25033	18	23	the	the	DET
ajst-25033	18	24	games	game	NOUN
ajst-25033	18	25	.	.	PUNCT
ajst-25033	19	1	therefore	therefore	ADV
ajst-25033	19	2	,	,	PUNCT
ajst-25033	19	3	our	our	PRON
ajst-25033	19	4	team	team	NOUN
ajst-25033	19	5	decided	decide	VERB
ajst-25033	19	6	to	to	PART
ajst-25033	19	7	build	build	VERB
ajst-25033	19	8	a	a	DET
ajst-25033	19	9	model	model	NOUN
ajst-25033	19	10	to	to	PART
ajst-25033	19	11	evaluate	evaluate	VERB
ajst-25033	19	12	how	how	SCONJ
ajst-25033	19	13	well	well	ADV
ajst-25033	19	14	a	a	DET
ajst-25033	19	15	sportsman	sportsman	NOUN
ajst-25033	19	16	performs	perform	VERB
ajst-25033	19	17	during	during	ADP
ajst-25033	19	18	the	the	DET
ajst-25033	19	19	competition	competition	NOUN
ajst-25033	19	20	and	and	CCONJ
ajst-25033	19	21	to	to	PART
ajst-25033	19	22	assess	assess	VERB
ajst-25033	19	23	the	the	DET
ajst-25033	19	24	role	role	NOUN
ajst-25033	19	25	of	of	ADP
ajst-25033	19	26	momentum	momentum	NOUN
ajst-25033	19	27	in	in	ADP
ajst-25033	19	28	it	it	PRON
ajst-25033	19	29	.	.	PUNCT
ajst-25033	20	1	moreover	moreover	ADV
ajst-25033	20	2	,	,	PUNCT
ajst-25033	20	3	predicting	predict	VERB
ajst-25033	20	4	the	the	DET
ajst-25033	20	5	results	result	NOUN
ajst-25033	20	6	.	.	PUNCT
ajst-25033	21	1	to	to	PART
ajst-25033	21	2	study	study	VERB
ajst-25033	21	3	the	the	DET
ajst-25033	21	4	correlation	correlation	NOUN
ajst-25033	21	5	between	between	ADP
ajst-25033	21	6	“	"	PUNCT
ajst-25033	21	7	momentum	momentum	NOUN
ajst-25033	21	8	”	"	PUNCT
ajst-25033	21	9	index	index	NOUN
ajst-25033	21	10	and	and	CCONJ
ajst-25033	21	11	game	game	NOUN
ajst-25033	21	12	results	result	NOUN
ajst-25033	21	13	in	in	ADP
ajst-25033	21	14	tennis	tennis	NOUN
ajst-25033	21	15	competitions	competition	NOUN
ajst-25033	21	16	and	and	CCONJ
ajst-25033	21	17	predict	predict	VERB
ajst-25033	21	18	the	the	DET
ajst-25033	21	19	fluctuations	fluctuation	NOUN
ajst-25033	21	20	,	,	PUNCT
ajst-25033	21	21	flow	flow	NOUN
ajst-25033	21	22	chart	chart	NOUN
ajst-25033	21	23	is	be	AUX
ajst-25033	21	24	shown	show	VERB
ajst-25033	21	25	in	in	ADP
ajst-25033	21	26	figure	figure	NOUN
ajst-25033	21	27	1	1	NUM
ajst-25033	21	28	.	.	PUNCT
ajst-25033	22	1	figure	figure	NOUN
ajst-25033	22	2	1	1	NUM
ajst-25033	22	3	.	.	PUNCT
ajst-25033	23	1	flow	flow	VERB
ajst-25033	23	2	chart	chart	NOUN
ajst-25033	23	3	to	to	PART
ajst-25033	23	4	achiebe	achiebe	VERB
ajst-25033	23	5	this	this	DET
ajst-25033	23	6	goal	goal	NOUN
ajst-25033	23	7	,	,	PUNCT
ajst-25033	23	8	we	we	PRON
ajst-25033	23	9	have	have	AUX
ajst-25033	23	10	made	make	VERB
ajst-25033	23	11	the	the	DET
ajst-25033	23	12	following	follow	VERB
ajst-25033	23	13	assumptions	assumption	NOUN
ajst-25033	23	14	and	and	CCONJ
ajst-25033	23	15	justifications	justification	NOUN
ajst-25033	23	16	:	:	PUNCT
ajst-25033	23	17	ignoring	ignore	VERB
ajst-25033	23	18	the	the	DET
ajst-25033	23	19	sudden	sudden	ADJ
ajst-25033	23	20	physiological	physiological	ADJ
ajst-25033	23	21	factors	factor	NOUN
ajst-25033	23	22	such	such	ADJ
ajst-25033	23	23	as	as	ADP
ajst-25033	23	24	the	the	DET
ajst-25033	23	25	physical	physical	ADJ
ajst-25033	23	26	discomfort	discomfort	NOUN
ajst-25033	23	27	of	of	ADP
ajst-25033	23	28	the	the	DET
ajst-25033	23	29	athletes	athlete	NOUN
ajst-25033	23	30	.	.	PUNCT
ajst-25033	24	1	neglecting	neglect	VERB
ajst-25033	24	2	the	the	DET
ajst-25033	24	3	influence	influence	NOUN
ajst-25033	24	4	of	of	ADP
ajst-25033	24	5	the	the	DET
ajst-25033	24	6	field	field	NOUN
ajst-25033	24	7	,	,	PUNCT
ajst-25033	24	8	weather	weather	NOUN
ajst-25033	24	9	and	and	CCONJ
ajst-25033	24	10	the	the	DET
ajst-25033	24	11	atmosphere	atmosphere	NOUN
ajst-25033	24	12	on	on	ADP
ajst-25033	24	13	the	the	DET
ajst-25033	24	14	site	site	NOUN
ajst-25033	24	15	performance	performance	NOUN
ajst-25033	24	16	.	.	PUNCT
ajst-25033	25	1	ignoring	ignore	VERB
ajst-25033	25	2	the	the	DET
ajst-25033	25	3	impacts	impact	NOUN
ajst-25033	25	4	of	of	ADP
ajst-25033	25	5	hard	hard	ADJ
ajst-25033	25	6	factors	factor	NOUN
ajst-25033	25	7	such	such	ADJ
ajst-25033	25	8	as	as	ADP
ajst-25033	25	9	equipment	equipment	NOUN
ajst-25033	25	10	on	on	ADP
ajst-25033	25	11	the	the	DET
ajst-25033	25	12	forecast	forecast	NOUN
ajst-25033	25	13	results	result	NOUN
ajst-25033	25	14	.	.	PUNCT
ajst-25033	26	1	athletes	athlete	NOUN
ajst-25033	26	2	'	'	PART
ajst-25033	26	3	performance	performance	NOUN
ajst-25033	26	4	can	can	AUX
ajst-25033	26	5	be	be	AUX
ajst-25033	26	6	evaluated	evaluate	VERB
ajst-25033	26	7	and	and	CCONJ
ajst-25033	26	8	predicted	predict	VERB
ajst-25033	26	9	by	by	ADP
ajst-25033	26	10	the	the	DET
ajst-25033	26	11	model	model	NOUN
ajst-25033	26	12	.	.	PUNCT
ajst-25033	27	1	what	what	PRON
ajst-25033	27	2	’s	’	VERB
ajst-25033	27	3	more	more	ADJ
ajst-25033	27	4	,	,	PUNCT
ajst-25033	27	5	the	the	DET
ajst-25033	27	6	primary	primary	ADJ
ajst-25033	27	7	notations	notation	NOUN
ajst-25033	27	8	used	use	VERB
ajst-25033	27	9	in	in	ADP
ajst-25033	27	10	this	this	DET
ajst-25033	27	11	paper	paper	NOUN
ajst-25033	27	12	are	be	AUX
ajst-25033	27	13	listed	list	VERB
ajst-25033	27	14	in	in	ADP
ajst-25033	27	15	table	table	NOUN
ajst-25033	27	16	1	1	NUM
ajst-25033	27	17	.	.	PUNCT
ajst-25033	27	18	262	262	NUM
ajst-25033	27	19	table	table	NOUN
ajst-25033	27	20	1	1	NUM
ajst-25033	27	21	.	.	PUNCT
ajst-25033	28	1	notations	notation	NOUN
ajst-25033	28	2	symbol	symbol	NOUN
ajst-25033	28	3	description	description	NOUN
ajst-25033	28	4	x	x	PUNCT
ajst-25033	28	5	the	the	DET
ajst-25033	28	6	value	value	NOUN
ajst-25033	28	7	of	of	ADP
ajst-25033	28	8	the	the	DET
ajst-25033	28	9	raw	raw	ADJ
ajst-25033	28	10	data	datum	NOUN
ajst-25033	28	11	mean	mean	NOUN
ajst-25033	28	12	x	x	X
ajst-25033	28	13	mean	mean	NOUN
ajst-25033	28	14	of	of	ADP
ajst-25033	28	15	the	the	DET
ajst-25033	28	16	variable	variable	NOUN
ajst-25033	28	17	sd	sd	NOUN
ajst-25033	28	18	x	x	VERB
ajst-25033	28	19	the	the	DET
ajst-25033	28	20	standard	standard	ADJ
ajst-25033	28	21	deviation	deviation	NOUN
ajst-25033	28	22	of	of	ADP
ajst-25033	28	23	the	the	DET
ajst-25033	28	24	variable	variable	ADJ
ajst-25033	28	25	r	r	NOUN
ajst-25033	28	26	index	index	NOUN
ajst-25033	28	27	conflict	conflict	NOUN
ajst-25033	28	28	ρ	ρ	NOUN
ajst-25033	28	29	spearman	spearman	NOUN
ajst-25033	28	30	correlation	correlation	NOUN
ajst-25033	28	31	coefficient	coefficient	NOUN
ajst-25033	28	32	c	c	NOUN
ajst-25033	28	33	amount	amount	NOUN
ajst-25033	28	34	of	of	ADP
ajst-25033	28	35	information	information	NOUN
ajst-25033	28	36	w	w	PROPN
ajst-25033	28	37	weight	weight	NOUN
ajst-25033	28	38	coefficient	coefficient	NOUN
ajst-25033	28	39	s	s	VERB
ajst-25033	28	40	the	the	DET
ajst-25033	28	41	standard	standard	ADJ
ajst-25033	28	42	deviation	deviation	NOUN
ajst-25033	28	43	of	of	ADP
ajst-25033	28	44	the	the	DET
ajst-25033	28	45	jth	jth	PROPN
ajst-25033	28	46	index	index	PROPN
ajst-25033	28	47	k	k	PROPN
ajst-25033	28	48	k	k	PROPN
ajst-25033	28	49	dimensionality	dimensionality	NOUN
ajst-25033	28	50	x	x	X
ajst-25033	28	51	matrix	matrix	NOUN
ajst-25033	28	52	2	2	NUM
ajst-25033	28	53	.	.	PUNCT
ajst-25033	28	54	model	model	NOUN
ajst-25033	28	55	establishment	establishment	NOUN
ajst-25033	28	56	and	and	CCONJ
ajst-25033	28	57	solution	solution	NOUN
ajst-25033	28	58	2.1	2.1	NUM
ajst-25033	28	59	.	.	PUNCT
ajst-25033	29	1	critic	critic	PROPN
ajst-25033	29	2	method	method	PROPN
ajst-25033	29	3	critic	critic	NOUN
ajst-25033	29	4	method	method	NOUN
ajst-25033	29	5	is	be	AUX
ajst-25033	29	6	an	an	DET
ajst-25033	29	7	objective	objective	ADJ
ajst-25033	29	8	weight	weight	NOUN
ajst-25033	29	9	assignment	assignment	NOUN
ajst-25033	29	10	method	method	NOUN
ajst-25033	29	11	,	,	PUNCT
ajst-25033	29	12	whose	whose	DET
ajst-25033	29	13	basic	basic	ADJ
ajst-25033	29	14	idea	idea	NOUN
ajst-25033	29	15	is	be	AUX
ajst-25033	29	16	to	to	PART
ajst-25033	29	17	determine	determine	VERB
ajst-25033	29	18	the	the	DET
ajst-25033	29	19	objective	objective	ADJ
ajst-25033	29	20	weight	weight	NOUN
ajst-25033	29	21	of	of	ADP
ajst-25033	29	22	the	the	DET
ajst-25033	29	23	index.[1	index.[1	NOUN
ajst-25033	29	24	]	]	PUNCT
ajst-25033	29	25	it	it	PRON
ajst-25033	29	26	is	be	AUX
ajst-25033	29	27	based	base	VERB
ajst-25033	29	28	on	on	ADP
ajst-25033	29	29	two	two	NUM
ajst-25033	29	30	basic	basic	ADJ
ajst-25033	29	31	concepts	concept	NOUN
ajst-25033	29	32	.	.	PUNCT
ajst-25033	30	1	the	the	DET
ajst-25033	30	2	one	one	NOUN
ajst-25033	30	3	is	be	AUX
ajst-25033	30	4	to	to	PART
ajst-25033	30	5	contrast	contrast	VERB
ajst-25033	30	6	the	the	DET
ajst-25033	30	7	intensity	intensity	NOUN
ajst-25033	30	8	.	.	PUNCT
ajst-25033	31	1	it	it	PRON
ajst-25033	31	2	represents	represent	VERB
ajst-25033	31	3	the	the	DET
ajst-25033	31	4	size	size	NOUN
ajst-25033	31	5	of	of	ADP
ajst-25033	31	6	the	the	DET
ajst-25033	31	7	value	value	NOUN
ajst-25033	31	8	gap	gap	NOUN
ajst-25033	31	9	of	of	ADP
ajst-25033	31	10	each	each	DET
ajst-25033	31	11	evaluation	evaluation	NOUN
ajst-25033	31	12	scheme	scheme	NOUN
ajst-25033	31	13	of	of	ADP
ajst-25033	31	14	the	the	DET
ajst-25033	31	15	same	same	ADJ
ajst-25033	31	16	index	index	NOUN
ajst-25033	31	17	in	in	ADP
ajst-25033	31	18	the	the	DET
ajst-25033	31	19	form	form	NOUN
ajst-25033	31	20	of	of	ADP
ajst-25033	31	21	standard	standard	ADJ
ajst-25033	31	22	deviation	deviation	NOUN
ajst-25033	31	23	.	.	PUNCT
ajst-25033	32	1	the	the	DET
ajst-25033	32	2	other	other	ADJ
ajst-25033	32	3	is	be	AUX
ajst-25033	32	4	to	to	PART
ajst-25033	32	5	evaluate	evaluate	VERB
ajst-25033	32	6	the	the	DET
ajst-25033	32	7	conflict	conflict	NOUN
ajst-25033	32	8	between	between	ADP
ajst-25033	32	9	the	the	DET
ajst-25033	32	10	indicators	indicator	NOUN
ajst-25033	32	11	.	.	PUNCT
ajst-25033	33	1	the	the	DET
ajst-25033	33	2	conflict	conflict	NOUN
ajst-25033	33	3	between	between	ADP
ajst-25033	33	4	indicators	indicator	NOUN
ajst-25033	33	5	is	be	AUX
ajst-25033	33	6	based	base	VERB
ajst-25033	33	7	on	on	ADP
ajst-25033	33	8	the	the	DET
ajst-25033	33	9	correlation	correlation	NOUN
ajst-25033	33	10	between	between	ADP
ajst-25033	33	11	indicators	indicator	NOUN
ajst-25033	33	12	.	.	PUNCT
ajst-25033	34	1	for	for	ADP
ajst-25033	34	2	example	example	NOUN
ajst-25033	34	3	,	,	PUNCT
ajst-25033	34	4	if	if	SCONJ
ajst-25033	34	5	there	there	PRON
ajst-25033	34	6	is	be	VERB
ajst-25033	34	7	a	a	DET
ajst-25033	34	8	strong	strong	ADJ
ajst-25033	34	9	positive	positive	ADJ
ajst-25033	34	10	correlation	correlation	NOUN
ajst-25033	34	11	between	between	ADP
ajst-25033	34	12	the	the	DET
ajst-25033	34	13	two	two	NUM
ajst-25033	34	14	indicators	indicator	NOUN
ajst-25033	34	15	,	,	PUNCT
ajst-25033	34	16	then	then	ADV
ajst-25033	34	17	we	we	PRON
ajst-25033	34	18	can	can	AUX
ajst-25033	34	19	say	say	VERB
ajst-25033	34	20	that	that	SCONJ
ajst-25033	34	21	the	the	DET
ajst-25033	34	22	conflict	conflict	NOUN
ajst-25033	34	23	between	between	ADP
ajst-25033	34	24	the	the	DET
ajst-25033	34	25	two	two	NUM
ajst-25033	34	26	indicators	indicator	NOUN
ajst-25033	34	27	is	be	AUX
ajst-25033	34	28	low	low	ADJ
ajst-25033	34	29	[	[	X
ajst-25033	34	30	2	2	NUM
ajst-25033	34	31	]	]	PUNCT
ajst-25033	34	32	.	.	PUNCT
ajst-25033	35	1	the	the	DET
ajst-25033	35	2	steps	step	NOUN
ajst-25033	35	3	are	be	AUX
ajst-25033	35	4	as	as	SCONJ
ajst-25033	35	5	follows	follow	VERB
ajst-25033	35	6	:	:	PUNCT
ajst-25033	35	7	first	first	ADV
ajst-25033	35	8	is	be	AUX
ajst-25033	35	9	the	the	DET
ajst-25033	35	10	indicator	indicator	NOUN
ajst-25033	35	11	variability	variability	NOUN
ajst-25033	35	12	:	:	PUNCT
ajst-25033	36	1			NUM
ajst-25033	36	2			NUM
ajst-25033	36	3			PROPN
ajst-25033	36	4			NUM
ajst-25033	36	5			NUM
ajst-25033	36	6			NUM
ajst-25033	36	7			ADV
ajst-25033	36	8			VERB
ajst-25033	36	9			NOUN
ajst-25033	36	10			ADV
ajst-25033	36	11			NUM
ajst-25033	36	12			X
ajst-25033	36	13			X
ajst-25033	37	1			NUM
ajst-25033	37	2			NOUN
ajst-25033	37	3	1	1	NUM
ajst-25033	37	4	)	)	PUNCT
ajst-25033	37	5	(	(	PUNCT
ajst-25033	37	6	1	1	NUM
ajst-25033	37	7	n	n	NUM
ajst-25033	37	8	1	1	NUM
ajst-25033	37	9	2	2	NUM
ajst-25033	37	10	1	1	NUM
ajst-25033	37	11	n	n	NUM
ajst-25033	37	12	xx	xx	NUM
ajst-25033	37	13	s	s	NOUN
ajst-25033	37	14	x	x	PUNCT
ajst-25033	37	15	n	n	PROPN
ajst-25033	37	16	x	x	NOUN
ajst-25033	38	1	i	i	PRON
ajst-25033	38	2	jij	jij	PROPN
ajst-25033	38	3	j	j	PROPN
ajst-25033	39	1	n	n	CCONJ
ajst-25033	39	2	i	i	PRON
ajst-25033	39	3	ijj	ijj	NOUN
ajst-25033	39	4	(	(	PUNCT
ajst-25033	39	5	1	1	X
ajst-25033	39	6	)	)	PUNCT
ajst-25033	39	7	second	second	ADJ
ajst-25033	39	8	is	be	AUX
ajst-25033	39	9	the	the	DET
ajst-25033	39	10	indicator	indicator	NOUN
ajst-25033	39	11	conflict	conflict	NOUN
ajst-25033	39	12	:	:	PUNCT
ajst-25033	39	13			X
ajst-25033	39	14			NUM
ajst-25033	39	15			PROPN
ajst-25033	40	1	p	p	PROPN
ajst-25033	41	1	i	i	PRON
ajst-25033	41	2	ijrr	ijrr	NOUN
ajst-25033	41	3	1	1	NUM
ajst-25033	41	4	j	j	PROPN
ajst-25033	41	5	)	)	PUNCT
ajst-25033	41	6	1	1	NUM
ajst-25033	41	7	(	(	PUNCT
ajst-25033	41	8	(	(	PUNCT
ajst-25033	41	9	2	2	NUM
ajst-25033	41	10	)	)	PUNCT
ajst-25033	41	11	third	third	NOUN
ajst-25033	41	12	is	be	AUX
ajst-25033	41	13	the	the	DET
ajst-25033	41	14	amount	amount	NOUN
ajst-25033	41	15	of	of	ADP
ajst-25033	41	16	information	information	NOUN
ajst-25033	41	17	:	:	PUNCT
ajst-25033	41	18			X
ajst-25033	42	1			NUM
ajst-25033	42	2			PROPN
ajst-25033	43	1	p	p	NOUN
ajst-25033	43	2	i	i	PRON
ajst-25033	43	3	jjijj	jjijj	AUX
ajst-25033	43	4	rsrsc	rsrsc	VERB
ajst-25033	43	5	1	1	NUM
ajst-25033	43	6	j	j	PROPN
ajst-25033	43	7	)	)	PUNCT
ajst-25033	43	8	1	1	NUM
ajst-25033	43	9	(	(	PUNCT
ajst-25033	43	10	(	(	PUNCT
ajst-25033	43	11	3	3	X
ajst-25033	43	12	)	)	PUNCT
ajst-25033	43	13	last	last	ADJ
ajst-25033	43	14	is	be	AUX
ajst-25033	43	15	the	the	DET
ajst-25033	43	16	weight	weight	NOUN
ajst-25033	43	17	:	:	PUNCT
ajst-25033	43	18			X
ajst-25033	44	1			NOUN
ajst-25033	45	1			ADJ
ajst-25033	45	2	p	p	X
ajst-25033	46	1	j	j	PROPN
ajst-25033	47	1	j	j	PROPN
ajst-25033	47	2	j	j	PROPN
ajst-25033	47	3	c	c	PROPN
ajst-25033	47	4	c	c	PROPN
ajst-25033	47	5	w	w	PROPN
ajst-25033	47	6	1	1	NUM
ajst-25033	47	7	j	j	PROPN
ajst-25033	47	8	(	(	PUNCT
ajst-25033	47	9	4	4	NUM
ajst-25033	47	10	)	)	PUNCT
ajst-25033	47	11	this	this	DET
ajst-25033	47	12	method	method	NOUN
ajst-25033	47	13	is	be	AUX
ajst-25033	47	14	suitable	suitable	ADJ
ajst-25033	47	15	for	for	ADP
ajst-25033	47	16	judging	judge	VERB
ajst-25033	47	17	the	the	DET
ajst-25033	47	18	stability	stability	NOUN
ajst-25033	47	19	of	of	ADP
ajst-25033	47	20	data	datum	NOUN
ajst-25033	47	21	and	and	CCONJ
ajst-25033	47	22	analyzing	analyze	VERB
ajst-25033	47	23	data	datum	NOUN
ajst-25033	47	24	with	with	ADP
ajst-25033	47	25	certain	certain	ADJ
ajst-25033	47	26	correlation	correlation	NOUN
ajst-25033	47	27	between	between	ADP
ajst-25033	47	28	indicators	indicator	NOUN
ajst-25033	47	29	or	or	CCONJ
ajst-25033	47	30	factors	factor	NOUN
ajst-25033	47	31	.	.	PUNCT
ajst-25033	48	1	in	in	ADP
ajst-25033	48	2	an	an	DET
ajst-25033	48	3	effort	effort	NOUN
ajst-25033	48	4	to	to	PART
ajst-25033	48	5	evaluate	evaluate	VERB
ajst-25033	48	6	the	the	DET
ajst-25033	48	7	correlation	correlation	NOUN
ajst-25033	48	8	between	between	ADP
ajst-25033	48	9	momentum	momentum	NOUN
ajst-25033	48	10	and	and	CCONJ
ajst-25033	48	11	the	the	DET
ajst-25033	48	12	outcome	outcome	NOUN
ajst-25033	48	13	,	,	PUNCT
ajst-25033	48	14	and	and	CCONJ
ajst-25033	48	15	to	to	PART
ajst-25033	48	16	prove	prove	VERB
ajst-25033	48	17	that	that	SCONJ
ajst-25033	48	18	the	the	DET
ajst-25033	48	19	game	game	NOUN
ajst-25033	48	20	swings	swing	NOUN
ajst-25033	48	21	and	and	CCONJ
ajst-25033	48	22	victories	victory	NOUN
ajst-25033	48	23	are	be	AUX
ajst-25033	48	24	not	not	PART
ajst-25033	48	25	random	random	ADJ
ajst-25033	48	26	,	,	PUNCT
ajst-25033	48	27	this	this	DET
ajst-25033	48	28	study	study	NOUN
ajst-25033	48	29	used	use	VERB
ajst-25033	48	30	the	the	DET
ajst-25033	48	31	critic	critic	ADJ
ajst-25033	48	32	method	method	NOUN
ajst-25033	48	33	to	to	PART
ajst-25033	48	34	calculate	calculate	VERB
ajst-25033	48	35	the	the	DET
ajst-25033	48	36	weight	weight	NOUN
ajst-25033	48	37	of	of	ADP
ajst-25033	48	38	the	the	DET
ajst-25033	48	39	players	player	NOUN
ajst-25033	48	40	’	'	PUNCT
ajst-25033	48	41	each	each	DET
ajst-25033	48	42	performance	performance	NOUN
ajst-25033	48	43	on	on	ADP
ajst-25033	48	44	the	the	DET
ajst-25033	48	45	outcome	outcome	NOUN
ajst-25033	48	46	.	.	PUNCT
ajst-25033	49	1	first	first	ADV
ajst-25033	49	2	,	,	PUNCT
ajst-25033	49	3	analyze	analyze	VERB
ajst-25033	49	4	the	the	DET
ajst-25033	49	5	weight	weight	NOUN
ajst-25033	49	6	of	of	ADP
ajst-25033	49	7	each	each	DET
ajst-25033	49	8	index	index	NOUN
ajst-25033	49	9	according	accord	VERB
ajst-25033	49	10	to	to	ADP
ajst-25033	49	11	the	the	DET
ajst-25033	49	12	calculation	calculation	NOUN
ajst-25033	49	13	results	result	NOUN
ajst-25033	49	14	,	,	PUNCT
ajst-25033	49	15	and	and	CCONJ
ajst-25033	49	16	then	then	ADV
ajst-25033	49	17	obtain	obtain	VERB
ajst-25033	49	18	the	the	DET
ajst-25033	49	19	weight	weight	NOUN
ajst-25033	49	20	analysis	analysis	NOUN
ajst-25033	49	21	matrix	matrix	NOUN
ajst-25033	49	22	through	through	ADP
ajst-25033	49	23	the	the	DET
ajst-25033	49	24	weight	weight	NOUN
ajst-25033	49	25	calculation	calculation	NOUN
ajst-25033	49	26	results	result	NOUN
ajst-25033	49	27	.	.	PUNCT
ajst-25033	50	1	the	the	DET
ajst-25033	50	2	calculation	calculation	NOUN
ajst-25033	50	3	results	result	NOUN
ajst-25033	50	4	are	be	AUX
ajst-25033	50	5	shown	show	VERB
ajst-25033	50	6	in	in	ADP
ajst-25033	50	7	table	table	NOUN
ajst-25033	50	8	2	2	NUM
ajst-25033	50	9	:	:	PUNCT
ajst-25033	50	10	table	table	NOUN
ajst-25033	50	11	2	2	NUM
ajst-25033	50	12	.	.	PUNCT
ajst-25033	51	1	the	the	DET
ajst-25033	51	2	weight	weight	NOUN
ajst-25033	51	3	calculation	calculation	NOUN
ajst-25033	51	4	results	result	VERB
ajst-25033	51	5	index	index	NOUN
ajst-25033	51	6	index	index	NOUN
ajst-25033	51	7	variability	variability	NOUN
ajst-25033	51	8	index	index	NOUN
ajst-25033	51	9	conflict	conflict	NOUN
ajst-25033	51	10	quantity	quantity	NOUN
ajst-25033	51	11	of	of	ADP
ajst-25033	51	12	information	information	NOUN
ajst-25033	51	13	weight	weight	NOUN
ajst-25033	51	14	(	(	PUNCT
ajst-25033	51	15	%	%	INTJ
ajst-25033	51	16	)	)	PUNCT
ajst-25033	51	17	unf_err	unf_err	VERB
ajst-25033	51	18	0.332	0.332	NUM
ajst-25033	51	19	5.841	5.841	NUM
ajst-25033	51	20	1.94	1.94	NUM
ajst-25033	51	21	24.466	24.466	NUM
ajst-25033	51	22	ace	ace	NOUN
ajst-25033	51	23	0.213	0.213	NUM
ajst-25033	51	24	6.118	6.118	NUM
ajst-25033	51	25	1.301	1.301	NUM
ajst-25033	51	26	16.411	16.411	NUM
ajst-25033	51	27	break_pt_won	break_pt_won	VERB
ajst-25033	51	28	0.117	0.117	NUM
ajst-25033	51	29	5.989	5.989	NUM
ajst-25033	51	30	0.7	0.7	NUM
ajst-25033	51	31	8.83	8.83	NUM
ajst-25033	51	32	double_fault	double_fault	NOUN
ajst-25033	51	33	0.128	0.128	NUM
ajst-25033	51	34	5.708	5.708	NUM
ajst-25033	51	35	0.733	0.733	NUM
ajst-25033	51	36	9.237	9.237	NUM
ajst-25033	51	37	net_pt_won	net_pt_won	PROPN
ajst-25033	52	1	0.263	0.263	NUM
ajst-25033	52	2	6.209	6.209	NUM
ajst-25033	52	3	1.634	1.634	NUM
ajst-25033	52	4	20.598	20.598	NUM
ajst-25033	52	5	break_pt_missed	break_pt_misse	VERB
ajst-25033	52	6	0.154	0.154	NUM
ajst-25033	52	7	5.921	5.921	NUM
ajst-25033	52	8	0.909	0.909	NUM
ajst-25033	52	9	11.465	11.465	NUM
ajst-25033	52	10	p1	p1	NOUN
ajst-25033	52	11	-	-	PUNCT
ajst-25033	52	12	p2	p2	PROPN
ajst-25033	52	13	0.13	0.13	NUM
ajst-25033	52	14	5.488	5.488	NUM
ajst-25033	52	15	0.713	0.713	NUM
ajst-25033	52	16	8.993	8.993	NUM
ajst-25033	52	17	specially	specially	ADV
ajst-25033	52	18	,	,	PUNCT
ajst-25033	52	19	the	the	DET
ajst-25033	52	20	index	index	NOUN
ajst-25033	52	21	variability	variability	NOUN
ajst-25033	52	22	is	be	AUX
ajst-25033	52	23	the	the	DET
ajst-25033	52	24	standard	standard	ADJ
ajst-25033	52	25	deviation	deviation	NOUN
ajst-25033	52	26	,	,	PUNCT
ajst-25033	52	27	the	the	PRON
ajst-25033	52	28	larger	large	ADJ
ajst-25033	52	29	the	the	DET
ajst-25033	52	30	standard	standard	ADJ
ajst-25033	52	31	deviation	deviation	NOUN
ajst-25033	52	32	,	,	PUNCT
ajst-25033	52	33	the	the	PRON
ajst-25033	52	34	greater	great	ADJ
ajst-25033	52	35	the	the	DET
ajst-25033	52	36	weight	weight	NOUN
ajst-25033	52	37	;	;	PUNCT
ajst-25033	52	38	the	the	DET
ajst-25033	52	39	conflict	conflict	NOUN
ajst-25033	52	40	is	be	AUX
ajst-25033	52	41	the	the	DET
ajst-25033	52	42	correlation	correlation	NOUN
ajst-25033	52	43	coefficient	coefficient	NOUN
ajst-25033	52	44	,	,	PUNCT
ajst-25033	52	45	the	the	PRON
ajst-25033	52	46	stronger	strong	ADJ
ajst-25033	52	47	the	the	DET
ajst-25033	52	48	correlation	correlation	NOUN
ajst-25033	52	49	between	between	ADP
ajst-25033	52	50	the	the	DET
ajst-25033	52	51	indicators	indicator	NOUN
ajst-25033	52	52	,	,	PUNCT
ajst-25033	52	53	the	the	DET
ajst-25033	52	54	lower	low	ADJ
ajst-25033	52	55	is	be	AUX
ajst-25033	52	56	the	the	DET
ajst-25033	52	57	conflict	conflict	NOUN
ajst-25033	52	58	and	and	CCONJ
ajst-25033	52	59	the	the	DET
ajst-25033	52	60	weight	weight	NOUN
ajst-25033	52	61	;	;	PUNCT
ajst-25033	52	62	the	the	DET
ajst-25033	52	63	information	information	NOUN
ajst-25033	52	64	amount	amount	NOUN
ajst-25033	52	65	is	be	AUX
ajst-25033	52	66	the	the	DET
ajst-25033	52	67	index	index	NOUN
ajst-25033	52	68	variability	variability	NOUN
ajst-25033	52	69	*	*	PUNCT
ajst-25033	52	70	conflict	conflict	NOUN
ajst-25033	52	71	index	index	NOUN
ajst-25033	52	72	,	,	PUNCT
ajst-25033	52	73	and	and	CCONJ
ajst-25033	52	74	the	the	DET
ajst-25033	52	75	weight	weight	NOUN
ajst-25033	52	76	is	be	AUX
ajst-25033	52	77	the	the	DET
ajst-25033	52	78	normalization	normalization	NOUN
ajst-25033	52	79	of	of	ADP
ajst-25033	52	80	the	the	DET
ajst-25033	52	81	information	information	NOUN
ajst-25033	52	82	.	.	PUNCT
ajst-25033	53	1	by	by	ADP
ajst-25033	53	2	comprehensively	comprehensively	ADV
ajst-25033	53	3	comparing	compare	VERB
ajst-25033	53	4	the	the	DET
ajst-25033	53	5	size	size	NOUN
ajst-25033	53	6	of	of	ADP
ajst-25033	53	7	each	each	DET
ajst-25033	53	8	data	datum	NOUN
ajst-25033	53	9	in	in	ADP
ajst-25033	53	10	the	the	DET
ajst-25033	53	11	table	table	NOUN
ajst-25033	53	12	,	,	PUNCT
ajst-25033	53	13	the	the	DET
ajst-25033	53	14	importance	importance	NOUN
ajst-25033	53	15	of	of	ADP
ajst-25033	53	16	the	the	DET
ajst-25033	53	17	indicators	indicator	NOUN
ajst-25033	53	18	is	be	AUX
ajst-25033	53	19	further	far	ADV
ajst-25033	53	20	obtained	obtain	VERB
ajst-25033	53	21	,	,	PUNCT
ajst-25033	53	22	as	as	SCONJ
ajst-25033	53	23	shown	show	VERB
ajst-25033	53	24	in	in	ADP
ajst-25033	53	25	figure	figure	NOUN
ajst-25033	53	26	2	2	NUM
ajst-25033	53	27	:	:	SYM
ajst-25033	53	28	2.2	2.2	NUM
ajst-25033	53	29	.	.	PUNCT
ajst-25033	54	1	spearman	spearman	NOUN
ajst-25033	54	2	correlation	correlation	NOUN
ajst-25033	54	3	analysis	analysis	NOUN
ajst-25033	54	4	spearman	spearman	NOUN
ajst-25033	54	5	correlation	correlation	NOUN
ajst-25033	54	6	analysis	analysis	NOUN
ajst-25033	54	7	is	be	AUX
ajst-25033	54	8	a	a	DET
ajst-25033	54	9	method	method	NOUN
ajst-25033	54	10	to	to	PART
ajst-25033	54	11	calculate	calculate	VERB
ajst-25033	54	12	the	the	DET
ajst-25033	54	13	non	non	ADJ
ajst-25033	54	14	-	-	ADJ
ajst-25033	54	15	linear	linear	ADJ
ajst-25033	54	16	relationship	relationship	NOUN
ajst-25033	54	17	between	between	ADP
ajst-25033	54	18	two	two	NUM
ajst-25033	54	19	variables	variable	NOUN
ajst-25033	54	20	.	.	PUNCT
ajst-25033	55	1	at	at	ADP
ajst-25033	55	2	the	the	DET
ajst-25033	55	3	same	same	ADJ
ajst-25033	55	4	time	time	NOUN
ajst-25033	55	5	,	,	PUNCT
ajst-25033	55	6	it	it	PRON
ajst-25033	55	7	does	do	AUX
ajst-25033	55	8	not	not	PART
ajst-25033	55	9	assume	assume	VERB
ajst-25033	55	10	the	the	DET
ajst-25033	55	11	distribution	distribution	NOUN
ajst-25033	55	12	of	of	ADP
ajst-25033	55	13	the	the	DET
ajst-25033	55	14	data	datum	NOUN
ajst-25033	55	15	.	.	PUNCT
ajst-25033	56	1	the	the	DET
ajst-25033	56	2	basic	basic	ADJ
ajst-25033	56	3	idea	idea	NOUN
ajst-25033	56	4	of	of	ADP
ajst-25033	56	5	this	this	DET
ajst-25033	56	6	method	method	NOUN
ajst-25033	56	7	is	be	AUX
ajst-25033	56	8	to	to	PART
ajst-25033	56	9	rank	rank	VERB
ajst-25033	56	10	the	the	DET
ajst-25033	56	11	values	value	NOUN
ajst-25033	56	12	of	of	ADP
ajst-25033	56	13	two	two	NUM
ajst-25033	56	14	(	(	PUNCT
ajst-25033	56	15	or	or	CCONJ
ajst-25033	56	16	multiple	multiple	ADJ
ajst-25033	56	17	)	)	PUNCT
ajst-25033	56	18	variables	variable	NOUN
ajst-25033	56	19	and	and	CCONJ
ajst-25033	56	20	calculate	calculate	VERB
ajst-25033	56	21	the	the	DET
ajst-25033	56	22	rank	rank	NOUN
ajst-25033	56	23	correlation	correlation	NOUN
ajst-25033	56	24	(	(	PUNCT
ajst-25033	56	25	spearman	spearman	NOUN
ajst-25033	56	26	correlation	correlation	NOUN
ajst-25033	56	27	coefficient	coefficient	NOUN
ajst-25033	56	28	)	)	PUNCT
ajst-25033	56	29	between	between	ADP
ajst-25033	56	30	them	they	PRON
ajst-25033	56	31	[	[	X
ajst-25033	56	32	3	3	NUM
ajst-25033	56	33	]	]	PUNCT
ajst-25033	56	34	.	.	PUNCT
ajst-25033	57	1	263	263	NUM
ajst-25033	57	2	figure	figure	NOUN
ajst-25033	57	3	2	2	NUM
ajst-25033	57	4	.	.	PUNCT
ajst-25033	57	5	weight	weight	NOUN
ajst-25033	57	6	coefficient	coefficient	NOUN
ajst-25033	57	7			X
ajst-25033	57	8			X
ajst-25033	57	9			X
ajst-25033	57	10			PUNCT
ajst-25033	57	11			PUNCT
ajst-25033	58	1			NUM
ajst-25033	58	2	i	i	INTJ
ajst-25033	59	1	i	i	PROPN
ajst-25033	59	2	ii	ii	PROPN
ajst-25033	59	3	ii	ii	PROPN
ajst-25033	59	4	yyxx	yyxx	PROPN
ajst-25033	59	5	yyxx	yyxx	PROPN
ajst-25033	59	6	22	22	NUM
ajst-25033	60	1	i	i	NOUN
ajst-25033	60	2	)	)	PUNCT
ajst-25033	60	3	(	(	PUNCT
ajst-25033	60	4	)	)	PUNCT
ajst-25033	60	5	(	(	PUNCT
ajst-25033	60	6	)	)	PUNCT
ajst-25033	60	7	)	)	PUNCT
ajst-25033	60	8	(	(	PUNCT
ajst-25033	60	9	(	(	PUNCT
ajst-25033	60	10			X
ajst-25033	60	11	(	(	PUNCT
ajst-25033	60	12	5	5	NUM
ajst-25033	60	13	)	)	PUNCT
ajst-25033	60	14	spearman	spearman	NOUN
ajst-25033	60	15	correlation	correlation	NOUN
ajst-25033	60	16	coefficient	coefficient	NOUN
ajst-25033	60	17	ranges	range	VERB
ajst-25033	60	18	from-1	from-1	NUM
ajst-25033	60	19	to	to	ADP
ajst-25033	60	20	1	1	NUM
ajst-25033	60	21	.	.	PUNCT
ajst-25033	61	1	a	a	DET
ajst-25033	61	2	value	value	NOUN
ajst-25033	61	3	of	of	ADP
ajst-25033	61	4	-1	-1	PUNCT
ajst-25033	61	5	indicates	indicate	VERB
ajst-25033	61	6	a	a	DET
ajst-25033	61	7	complete	complete	ADJ
ajst-25033	61	8	negative	negative	ADJ
ajst-25033	61	9	correlation	correlation	NOUN
ajst-25033	61	10	,	,	PUNCT
ajst-25033	61	11	a	a	DET
ajst-25033	61	12	value	value	NOUN
ajst-25033	61	13	of	of	ADP
ajst-25033	61	14	1	1	NUM
ajst-25033	61	15	indicates	indicate	VERB
ajst-25033	61	16	a	a	DET
ajst-25033	61	17	complete	complete	ADJ
ajst-25033	61	18	positive	positive	ADJ
ajst-25033	61	19	correlation	correlation	NOUN
ajst-25033	61	20	,	,	PUNCT
ajst-25033	61	21	and	and	CCONJ
ajst-25033	61	22	a	a	DET
ajst-25033	61	23	value	value	NOUN
ajst-25033	61	24	of	of	ADP
ajst-25033	61	25	0	0	NUM
ajst-25033	61	26	indicates	indicate	VERB
ajst-25033	61	27	no	no	DET
ajst-25033	61	28	correlation	correlation	NOUN
ajst-25033	61	29	between	between	ADP
ajst-25033	61	30	the	the	DET
ajst-25033	61	31	two	two	NUM
ajst-25033	61	32	variables	variable	NOUN
ajst-25033	61	33	.	.	PUNCT
ajst-25033	62	1	therefore	therefore	ADV
ajst-25033	62	2	,	,	PUNCT
ajst-25033	62	3	to	to	PART
ajst-25033	62	4	further	far	ADV
ajst-25033	62	5	explore	explore	VERB
ajst-25033	62	6	the	the	DET
ajst-25033	62	7	correlation	correlation	NOUN
ajst-25033	62	8	between	between	ADP
ajst-25033	62	9	momentum	momentum	NOUN
ajst-25033	62	10	and	and	CCONJ
ajst-25033	62	11	competition	competition	NOUN
ajst-25033	62	12	results	result	NOUN
ajst-25033	62	13	,	,	PUNCT
ajst-25033	62	14	this	this	DET
ajst-25033	62	15	study	study	NOUN
ajst-25033	62	16	used	use	VERB
ajst-25033	62	17	spearman	spearman	NOUN
ajst-25033	62	18	correlation	correlation	NOUN
ajst-25033	62	19	method	method	NOUN
ajst-25033	62	20	to	to	PART
ajst-25033	62	21	improve	improve	VERB
ajst-25033	62	22	the	the	DET
ajst-25033	62	23	accuracy	accuracy	NOUN
ajst-25033	62	24	and	and	CCONJ
ajst-25033	62	25	credibility	credibility	NOUN
ajst-25033	62	26	of	of	ADP
ajst-25033	62	27	the	the	DET
ajst-25033	62	28	results	result	NOUN
ajst-25033	62	29	.	.	PUNCT
ajst-25033	63	1	first	first	ADV
ajst-25033	63	2	,	,	PUNCT
ajst-25033	63	3	test	test	VERB
ajst-25033	63	4	whether	whether	SCONJ
ajst-25033	63	5	there	there	PRON
ajst-25033	63	6	is	be	VERB
ajst-25033	63	7	a	a	DET
ajst-25033	63	8	statistically	statistically	ADV
ajst-25033	63	9	significant	significant	ADJ
ajst-25033	63	10	relationship	relationship	NOUN
ajst-25033	63	11	(	(	PUNCT
ajst-25033	63	12	p	p	X
ajst-25033	63	13	<	<	NOUN
ajst-25033	63	14	0.05	0.05	NUM
ajst-25033	63	15	)	)	PUNCT
ajst-25033	63	16	between	between	ADP
ajst-25033	63	17	the	the	DET
ajst-25033	63	18	momentum	momentum	NOUN
ajst-25033	63	19	and	and	CCONJ
ajst-25033	63	20	competition	competition	NOUN
ajst-25033	63	21	results	result	NOUN
ajst-25033	63	22	,	,	PUNCT
ajst-25033	63	23	and	and	CCONJ
ajst-25033	63	24	then	then	ADV
ajst-25033	63	25	analyze	analyze	VERB
ajst-25033	63	26	the	the	DET
ajst-25033	63	27	positive	positive	ADJ
ajst-25033	63	28	and	and	CCONJ
ajst-25033	63	29	negative	negative	ADJ
ajst-25033	63	30	correlation	correlation	NOUN
ajst-25033	63	31	coefficient	coefficient	NOUN
ajst-25033	63	32	and	and	CCONJ
ajst-25033	63	33	the	the	DET
ajst-25033	63	34	degree	degree	NOUN
ajst-25033	63	35	of	of	ADP
ajst-25033	63	36	correlation	correlation	NOUN
ajst-25033	63	37	.	.	PUNCT
ajst-25033	64	1	finally	finally	ADV
ajst-25033	64	2	,	,	PUNCT
ajst-25033	64	3	summarize	summarize	VERB
ajst-25033	64	4	the	the	DET
ajst-25033	64	5	analysis	analysis	NOUN
ajst-25033	64	6	results	result	NOUN
ajst-25033	64	7	to	to	PART
ajst-25033	64	8	obtain	obtain	VERB
ajst-25033	64	9	the	the	DET
ajst-25033	64	10	correlation	correlation	NOUN
ajst-25033	64	11	coefficient	coefficient	NOUN
ajst-25033	64	12	relationship	relationship	NOUN
ajst-25033	64	13	as	as	SCONJ
ajst-25033	64	14	shown	show	VERB
ajst-25033	64	15	in	in	ADP
ajst-25033	64	16	table	table	NOUN
ajst-25033	64	17	3	3	NUM
ajst-25033	64	18	:	:	PUNCT
ajst-25033	64	19	table	table	NOUN
ajst-25033	64	20	3	3	NUM
ajst-25033	64	21	.	.	PUNCT
ajst-25033	64	22	table	table	NOUN
ajst-25033	64	23	of	of	ADP
ajst-25033	64	24	correlation	correlation	NOUN
ajst-25033	64	25	coefficients	coefficient	VERB
ajst-25033	64	26	q20	q20	PROPN
ajst-25033	64	27	-	-	PUNCT
ajst-25033	64	28	p1per	p1per	PROPN
ajst-25033	64	29	power4	power4	NOUN
ajst-25033	65	1	q20	q20	PROPN
ajst-25033	65	2	-	-	PUNCT
ajst-25033	65	3	p1per	p1per	PROPN
ajst-25033	65	4	1	1	NUM
ajst-25033	65	5	0.49	0.49	NUM
ajst-25033	65	6	power4	power4	NOUN
ajst-25033	65	7	0.49	0.49	NUM
ajst-25033	65	8	1	1	NUM
ajst-25033	65	9	2.3	2.3	NUM
ajst-25033	65	10	.	.	PUNCT
ajst-25033	66	1	thermal	thermal	ADJ
ajst-25033	66	2	map	map	NOUN
ajst-25033	66	3	of	of	ADP
ajst-25033	66	4	the	the	DET
ajst-25033	66	5	correlation	correlation	NOUN
ajst-25033	66	6	coefficient	coefficient	NOUN
ajst-25033	66	7	draw	draw	VERB
ajst-25033	66	8	the	the	DET
ajst-25033	66	9	correlation	correlation	NOUN
ajst-25033	66	10	coefficient	coefficient	NOUN
ajst-25033	66	11	thermal	thermal	ADJ
ajst-25033	66	12	map	map	NOUN
ajst-25033	66	13	for	for	ADP
ajst-25033	66	14	the	the	DET
ajst-25033	66	15	data	datum	NOUN
ajst-25033	66	16	in	in	ADP
ajst-25033	66	17	figure	figure	NOUN
ajst-25033	66	18	3	3	NUM
ajst-25033	66	19	:	:	PUNCT
ajst-25033	66	20	figure	figure	NOUN
ajst-25033	66	21	3	3	NUM
ajst-25033	66	22	.	.	PUNCT
ajst-25033	66	23	orrelation	orrelation	PROPN
ajst-25033	66	24	coefficient	coefficient	PROPN
ajst-25033	66	25	thermal	thermal	ADJ
ajst-25033	66	26	map	map	NOUN
ajst-25033	66	27	as	as	SCONJ
ajst-25033	66	28	can	can	AUX
ajst-25033	66	29	be	be	AUX
ajst-25033	66	30	seen	see	VERB
ajst-25033	66	31	from	from	ADP
ajst-25033	66	32	the	the	DET
ajst-25033	66	33	figure	figure	NOUN
ajst-25033	66	34	3	3	NUM
ajst-25033	66	35	,	,	PUNCT
ajst-25033	66	36	there	there	PRON
ajst-25033	66	37	is	be	VERB
ajst-25033	66	38	a	a	DET
ajst-25033	66	39	great	great	ADJ
ajst-25033	66	40	correlation	correlation	NOUN
ajst-25033	66	41	between	between	ADP
ajst-25033	66	42	the	the	DET
ajst-25033	66	43	momentum	momentum	NOUN
ajst-25033	66	44	and	and	CCONJ
ajst-25033	66	45	the	the	DET
ajst-25033	66	46	results	result	NOUN
ajst-25033	66	47	of	of	ADP
ajst-25033	66	48	the	the	DET
ajst-25033	66	49	game	game	NOUN
ajst-25033	66	50	,	,	PUNCT
ajst-25033	66	51	so	so	SCONJ
ajst-25033	66	52	it	it	PRON
ajst-25033	66	53	can	can	AUX
ajst-25033	66	54	be	be	AUX
ajst-25033	66	55	further	far	ADV
ajst-25033	66	56	explained	explain	VERB
ajst-25033	66	57	that	that	SCONJ
ajst-25033	66	58	the	the	DET
ajst-25033	66	59	trained	train	VERB
ajst-25033	66	60	data	data	NOUN
ajst-25033	66	61	results	result	NOUN
ajst-25033	66	62	have	have	VERB
ajst-25033	66	63	high	high	ADJ
ajst-25033	66	64	confidence	confidence	NOUN
ajst-25033	66	65	.	.	PUNCT
ajst-25033	67	1	3	3	X
ajst-25033	67	2	.	.	PUNCT
ajst-25033	67	3	model	model	NOUN
ajst-25033	67	4	establishment	establishment	NOUN
ajst-25033	67	5	and	and	CCONJ
ajst-25033	67	6	solution	solution	NOUN
ajst-25033	67	7	3.1	3.1	NUM
ajst-25033	67	8	.	.	PUNCT
ajst-25033	68	1	cnn	cnn	PROPN
ajst-25033	68	2	-	-	PUNCT
ajst-25033	68	3	lstm	lstm	PROPN
ajst-25033	68	4	model	model	PROPN
ajst-25033	68	5	cnn	cnn	PROPN
ajst-25033	68	6	and	and	CCONJ
ajst-25033	68	7	lstm	lstm	NOUN
ajst-25033	68	8	are	be	AUX
ajst-25033	68	9	two	two	NUM
ajst-25033	68	10	common	common	ADJ
ajst-25033	68	11	used	use	VERB
ajst-25033	68	12	deep	deep	ADJ
ajst-25033	68	13	learning	learning	NOUN
ajst-25033	68	14	models	model	NOUN
ajst-25033	68	15	that	that	PRON
ajst-25033	68	16	can	can	AUX
ajst-25033	68	17	be	be	AUX
ajst-25033	68	18	used	use	VERB
ajst-25033	68	19	for	for	ADP
ajst-25033	68	20	classification	classification	NOUN
ajst-25033	68	21	and	and	CCONJ
ajst-25033	68	22	prediction	prediction	NOUN
ajst-25033	68	23	.	.	PUNCT
ajst-25033	69	1	cnn	cnn	PROPN
ajst-25033	69	2	is	be	AUX
ajst-25033	69	3	a	a	DET
ajst-25033	69	4	neural	neural	ADJ
ajst-25033	69	5	network	network	NOUN
ajst-25033	69	6	model	model	NOUN
ajst-25033	69	7	for	for	ADP
ajst-25033	69	8	image	image	NOUN
ajst-25033	69	9	processing	processing	NOUN
ajst-25033	69	10	,	,	PUNCT
ajst-25033	69	11	while	while	SCONJ
ajst-25033	69	12	lstm	lstm	ADJ
ajst-25033	69	13	is	be	AUX
ajst-25033	69	14	a	a	DET
ajst-25033	69	15	neural	neural	ADJ
ajst-25033	69	16	network	network	NOUN
ajst-25033	69	17	model	model	NOUN
ajst-25033	69	18	for	for	ADP
ajst-25033	69	19	sequential	sequential	ADJ
ajst-25033	69	20	data	datum	NOUN
ajst-25033	69	21	processing.[4	processing.[4	NOUN
ajst-25033	69	22	]	]	X
ajst-25033	69	23	this	this	DET
ajst-25033	69	24	paper	paper	NOUN
ajst-25033	69	25	used	use	VERB
ajst-25033	69	26	the	the	DET
ajst-25033	69	27	combination	combination	NOUN
ajst-25033	69	28	of	of	ADP
ajst-25033	69	29	the	the	DET
ajst-25033	69	30	two	two	NUM
ajst-25033	69	31	,	,	PUNCT
ajst-25033	69	32	which	which	PRON
ajst-25033	69	33	can	can	AUX
ajst-25033	69	34	not	not	PART
ajst-25033	69	35	only	only	ADV
ajst-25033	69	36	improve	improve	VERB
ajst-25033	69	37	the	the	DET
ajst-25033	69	38	robustness	robustness	NOUN
ajst-25033	69	39	and	and	CCONJ
ajst-25033	69	40	convergence	convergence	NOUN
ajst-25033	69	41	of	of	ADP
ajst-25033	69	42	the	the	DET
ajst-25033	69	43	model	model	NOUN
ajst-25033	69	44	,	,	PUNCT
ajst-25033	69	45	but	but	CCONJ
ajst-25033	69	46	also	also	ADV
ajst-25033	69	47	reduce	reduce	VERB
ajst-25033	69	48	the	the	DET
ajst-25033	69	49	prediction	prediction	NOUN
ajst-25033	69	50	error	error	NOUN
ajst-25033	69	51	and	and	CCONJ
ajst-25033	69	52	improve	improve	VERB
ajst-25033	69	53	the	the	DET
ajst-25033	69	54	prediction	prediction	NOUN
ajst-25033	69	55	accuracy	accuracy	NOUN
ajst-25033	70	1	[	[	X
ajst-25033	70	2	5	5	NUM
ajst-25033	70	3	]	]	PUNCT
ajst-25033	70	4	.	.	PUNCT
ajst-25033	71	1	first	first	ADV
ajst-25033	71	2	,	,	PUNCT
ajst-25033	71	3	construct	construct	VERB
ajst-25033	71	4	the	the	DET
ajst-25033	71	5	data	datum	NOUN
ajst-25033	71	6	as	as	ADP
ajst-25033	71	7	a	a	DET
ajst-25033	71	8	feature	feature	NOUN
ajst-25033	71	9	matrix	matrix	NOUN
ajst-25033	71	10	containing	contain	VERB
ajst-25033	71	11	the	the	DET
ajst-25033	71	12	spatiotemporal	spatiotemporal	ADJ
ajst-25033	71	13	correlation	correlation	NOUN
ajst-25033	71	14	of	of	ADP
ajst-25033	71	15	the	the	DET
ajst-25033	71	16	traffic	traffic	NOUN
ajst-25033	71	17	flow	flow	NOUN
ajst-25033	71	18	:	:	PUNCT
ajst-25033	71	19	x=	x=	X
ajst-25033	72	1	x	x	X
ajst-25033	72	2	⋯	⋯	PROPN
ajst-25033	72	3	x	x	SYM
ajst-25033	72	4	⋮	⋮	NOUN
ajst-25033	72	5	⋱	⋱	PUNCT
ajst-25033	72	6	⋮	⋮	NOUN
ajst-25033	72	7	x	x	SYM
ajst-25033	72	8	⋯	⋯	PROPN
ajst-25033	72	9	x	x	SYM
ajst-25033	72	10	(	(	PUNCT
ajst-25033	72	11	6	6	NUM
ajst-25033	72	12	)	)	PUNCT
ajst-25033	72	13	second	second	ADJ
ajst-25033	72	14	,	,	PUNCT
ajst-25033	72	15	put	put	VERB
ajst-25033	72	16	he	he	PRON
ajst-25033	72	17	feature	feature	NOUN
ajst-25033	72	18	matrix	matrix	NOUN
ajst-25033	72	19	x	x	PUNCT
ajst-25033	72	20	into	into	ADP
ajst-25033	72	21	the	the	DET
ajst-25033	72	22	multilayer	multilayer	ADJ
ajst-25033	72	23	cnn	cnn	PROPN
ajst-25033	72	24	and	and	CCONJ
ajst-25033	72	25	exxtract	exxtract	VERB
ajst-25033	72	26	the	the	DET
ajst-25033	72	27	spatial	spatial	ADJ
ajst-25033	72	28	features	feature	NOUN
ajst-25033	72	29	of	of	ADP
ajst-25033	72	30	the	the	DET
ajst-25033	72	31	traffic	traffic	NOUN
ajst-25033	72	32	flow	flow	NOUN
ajst-25033	72	33	data	datum	NOUN
ajst-25033	72	34	to	to	PART
ajst-25033	72	35	obtain	obtain	VERB
ajst-25033	72	36	the	the	DET
ajst-25033	72	37	sequence	sequence	NOUN
ajst-25033	72	38	feature	feature	NOUN
ajst-25033	72	39	vector	vector	NOUN
ajst-25033	72	40	.	.	PUNCT
ajst-25033	73	1	and	and	CCONJ
ajst-25033	73	2	put	put	VERB
ajst-25033	73	3	the	the	DET
ajst-25033	73	4	feature	feature	NOUN
ajst-25033	73	5	vector	vector	NOUN
ajst-25033	73	6	into	into	ADP
ajst-25033	73	7	the	the	DET
ajst-25033	73	8	multi	multi	ADJ
ajst-25033	73	9	-	-	ADJ
ajst-25033	73	10	layer	layer	ADJ
ajst-25033	73	11	lstm	lstm	NOUN
ajst-25033	73	12	network	network	NOUN
ajst-25033	73	13	to	to	PART
ajst-25033	73	14	extract	extract	VERB
ajst-25033	73	15	time	time	NOUN
ajst-25033	73	16	-	-	PUNCT
ajst-25033	73	17	dependent	dependent	ADJ
ajst-25033	73	18	features	feature	NOUN
ajst-25033	73	19	.	.	PUNCT
ajst-25033	74	1	in	in	ADP
ajst-25033	74	2	order	order	NOUN
ajst-25033	74	3	to	to	PART
ajst-25033	74	4	prevent	prevent	VERB
ajst-25033	74	5	data	datum	NOUN
ajst-25033	74	6	overfitting	overfitting	NOUN
ajst-25033	74	7	and	and	CCONJ
ajst-25033	74	8	long	long	ADJ
ajst-25033	74	9	training	training	NOUN
ajst-25033	74	10	time	time	NOUN
ajst-25033	74	11	,	,	PUNCT
ajst-25033	74	12	droput	droput	NOUN
ajst-25033	74	13	layer	layer	NOUN
ajst-25033	74	14	is	be	AUX
ajst-25033	74	15	introduced	introduce	VERB
ajst-25033	74	16	to	to	ADP
ajst-25033	74	17	the	the	DET
ajst-25033	74	18	training	training	NOUN
ajst-25033	74	19	process	process	NOUN
ajst-25033	74	20	of	of	ADP
ajst-25033	74	21	the	the	DET
ajst-25033	74	22	model	model	NOUN
ajst-25033	74	23	.	.	PUNCT
ajst-25033	75	1	after	after	SCONJ
ajst-25033	75	2	the	the	DET
ajst-25033	75	3	model	model	NOUN
ajst-25033	75	4	is	be	AUX
ajst-25033	75	5	established	establish	VERB
ajst-25033	75	6	,	,	PUNCT
ajst-25033	75	7	the	the	DET
ajst-25033	75	8	training	training	NOUN
ajst-25033	75	9	data	datum	NOUN
ajst-25033	75	10	set	set	VERB
ajst-25033	75	11	is	be	AUX
ajst-25033	75	12	divided	divide	VERB
ajst-25033	75	13	,	,	PUNCT
ajst-25033	75	14	trained	train	VERB
ajst-25033	75	15	,	,	PUNCT
ajst-25033	75	16	and	and	CCONJ
ajst-25033	75	17	the	the	DET
ajst-25033	75	18	test	test	NOUN
ajst-25033	75	19	set	set	NOUN
ajst-25033	75	20	is	be	AUX
ajst-25033	75	21	predicted	predict	VERB
ajst-25033	75	22	,	,	PUNCT
ajst-25033	75	23	and	and	CCONJ
ajst-25033	75	24	the	the	DET
ajst-25033	75	25	results	result	NOUN
ajst-25033	75	26	are	be	AUX
ajst-25033	75	27	shown	show	VERB
ajst-25033	75	28	in	in	ADP
ajst-25033	75	29	the	the	DET
ajst-25033	75	30	figure	figure	NOUN
ajst-25033	75	31	:	:	PUNCT
ajst-25033	75	32	the	the	DET
ajst-25033	75	33	blue	blue	ADJ
ajst-25033	75	34	line	line	NOUN
ajst-25033	75	35	represents	represent	VERB
ajst-25033	75	36	the	the	DET
ajst-25033	75	37	actual	actual	ADJ
ajst-25033	75	38	value	value	NOUN
ajst-25033	75	39	and	and	CCONJ
ajst-25033	75	40	the	the	DET
ajst-25033	75	41	orange	orange	ADJ
ajst-25033	75	42	line	line	NOUN
ajst-25033	75	43	represents	represent	VERB
ajst-25033	75	44	the	the	DET
ajst-25033	75	45	predicted	predict	VERB
ajst-25033	75	46	value	value	NOUN
ajst-25033	75	47	.	.	PUNCT
ajst-25033	76	1	comparison	comparison	NOUN
ajst-25033	76	2	between	between	ADP
ajst-25033	76	3	the	the	DET
ajst-25033	76	4	real	real	ADJ
ajst-25033	76	5	value	value	NOUN
ajst-25033	76	6	and	and	CCONJ
ajst-25033	76	7	the	the	DET
ajst-25033	76	8	predicted	predict	VERB
ajst-25033	76	9	value	value	NOUN
ajst-25033	76	10	is	be	AUX
ajst-25033	76	11	shown	show	VERB
ajst-25033	76	12	in	in	ADP
ajst-25033	76	13	figure	figure	NOUN
ajst-25033	76	14	4	4	NUM
ajst-25033	76	15	.	.	PUNCT
ajst-25033	76	16	figure	figure	VERB
ajst-25033	76	17	4	4	NUM
ajst-25033	76	18	.	.	NOUN
ajst-25033	76	19	comparison	comparison	NOUN
ajst-25033	76	20	between	between	ADP
ajst-25033	76	21	the	the	DET
ajst-25033	76	22	real	real	ADJ
ajst-25033	76	23	value	value	NOUN
ajst-25033	76	24	and	and	CCONJ
ajst-25033	76	25	the	the	DET
ajst-25033	76	26	predicted	predict	VERB
ajst-25033	76	27	value	value	NOUN
ajst-25033	76	28	by	by	ADP
ajst-25033	76	29	calculation	calculation	NOUN
ajst-25033	76	30	,	,	PUNCT
ajst-25033	76	31	the	the	DET
ajst-25033	76	32	rmse	rmse	NOUN
ajst-25033	76	33	of	of	ADP
ajst-25033	76	34	the	the	DET
ajst-25033	76	35	predicted	predict	VERB
ajst-25033	76	36	result	result	NOUN
ajst-25033	76	37	is	be	AUX
ajst-25033	76	38	0.3596	0.3596	NUM
ajst-25033	76	39	.	.	PUNCT
ajst-25033	77	1	according	accord	VERB
ajst-25033	77	2	to	to	ADP
ajst-25033	77	3	regulations	regulation	NOUN
ajst-25033	77	4	,	,	PUNCT
ajst-25033	77	5	the	the	PRON
ajst-25033	77	6	closer	close	ADV
ajst-25033	77	7	the	the	DET
ajst-25033	77	8	rmse	rmse	NOUN
ajst-25033	77	9	is	be	AUX
ajst-25033	77	10	to	to	ADP
ajst-25033	77	11	0	0	NUM
ajst-25033	77	12	,	,	PUNCT
ajst-25033	77	13	the	the	PRON
ajst-25033	77	14	better	well	ADJ
ajst-25033	77	15	the	the	DET
ajst-25033	77	16	prediction	prediction	NOUN
ajst-25033	77	17	effect	effect	NOUN
ajst-25033	77	18	is	be	AUX
ajst-25033	77	19	,	,	PUNCT
ajst-25033	77	20	so	so	ADV
ajst-25033	77	21	this	this	DET
ajst-25033	77	22	model	model	NOUN
ajst-25033	77	23	has	have	VERB
ajst-25033	77	24	higher	high	ADJ
ajst-25033	77	25	accuracy	accuracy	NOUN
ajst-25033	77	26	.	.	PUNCT
ajst-25033	78	1	therefore	therefore	ADV
ajst-25033	78	2	,	,	PUNCT
ajst-25033	78	3	it	it	PRON
ajst-25033	78	4	can	can	AUX
ajst-25033	78	5	be	be	AUX
ajst-25033	78	6	shown	show	VERB
ajst-25033	78	7	that	that	SCONJ
ajst-25033	78	8	the	the	DET
ajst-25033	78	9	model	model	NOUN
ajst-25033	78	10	can	can	AUX
ajst-25033	78	11	effectively	effectively	ADV
ajst-25033	78	12	predict	predict	VERB
ajst-25033	78	13	the	the	DET
ajst-25033	78	14	fluctuation	fluctuation	NOUN
ajst-25033	78	15	in	in	ADP
ajst-25033	78	16	the	the	DET
ajst-25033	78	17	game	game	NOUN
ajst-25033	78	18	.	.	PUNCT
ajst-25033	79	1	3.2	3.2	NUM
ajst-25033	79	2	.	.	PUNCT
ajst-25033	80	1	spearman	spearman	NOUN
ajst-25033	80	2	correlation	correlation	NOUN
ajst-25033	80	3	analysis	analysis	NOUN
ajst-25033	80	4	the	the	DET
ajst-25033	80	5	correlation	correlation	NOUN
ajst-25033	80	6	among	among	ADP
ajst-25033	80	7	performance	performance	NOUN
ajst-25033	80	8	of	of	ADP
ajst-25033	80	9	the	the	DET
ajst-25033	80	10	player	player	NOUN
ajst-25033	80	11	,	,	PUNCT
ajst-25033	80	12	who	who	PRON
ajst-25033	80	13	is	be	AUX
ajst-25033	80	14	the	the	DET
ajst-25033	80	15	server	server	NOUN
ajst-25033	80	16	,	,	PUNCT
ajst-25033	80	17	unforced	unforced	ADJ
ajst-25033	80	18	error	error	NOUN
ajst-25033	80	19	,	,	PUNCT
ajst-25033	80	20	the	the	DET
ajst-25033	80	21	running	run	VERB
ajst-25033	80	22	distance	distance	NOUN
ajst-25033	80	23	between	between	ADP
ajst-25033	80	24	each	each	DET
ajst-25033	80	25	socre	socre	NOUN
ajst-25033	80	26	,	,	PUNCT
ajst-25033	80	27	and	and	CCONJ
ajst-25033	80	28	the	the	DET
ajst-25033	80	29	number	number	NOUN
ajst-25033	80	30	of	of	ADP
ajst-25033	80	31	swings	swing	NOUN
ajst-25033	80	32	is	be	AUX
ajst-25033	80	33	more	more	ADV
ajst-25033	80	34	prominent	prominent	ADJ
ajst-25033	80	35	than	than	ADP
ajst-25033	80	36	that	that	PRON
ajst-25033	80	37	in	in	ADP
ajst-25033	80	38	other	other	ADJ
ajst-25033	80	39	indicators	indicator	NOUN
ajst-25033	80	40	.	.	PUNCT
ajst-25033	81	1	in	in	ADP
ajst-25033	81	2	this	this	DET
ajst-25033	81	3	paper	paper	NOUN
ajst-25033	81	4	,	,	PUNCT
ajst-25033	81	5	it	it	PRON
ajst-25033	81	6	is	be	AUX
ajst-25033	81	7	believed	believe	VERB
ajst-25033	81	8	that	that	SCONJ
ajst-25033	81	9	the	the	DET
ajst-25033	81	10	running	run	VERB
ajst-25033	81	11	distance	distance	NOUN
ajst-25033	81	12	and	and	CCONJ
ajst-25033	81	13	the	the	DET
ajst-25033	81	14	number	number	NOUN
ajst-25033	81	15	of	of	ADP
ajst-25033	81	16	swings	swing	NOUN
ajst-25033	81	17	is	be	AUX
ajst-25033	81	18	reflections	reflection	NOUN
ajst-25033	81	19	of	of	ADP
ajst-25033	81	20	the	the	DET
ajst-25033	81	21	physical	physical	ADJ
ajst-25033	81	22	exertion	exertion	NOUN
ajst-25033	81	23	situation	situation	NOUN
ajst-25033	81	24	of	of	ADP
ajst-25033	81	25	the	the	DET
ajst-25033	81	26	players	player	NOUN
ajst-25033	81	27	.	.	PUNCT
ajst-25033	82	1	and	and	CCONJ
ajst-25033	82	2	who	who	PRON
ajst-25033	82	3	serves	serve	VERB
ajst-25033	82	4	means	mean	VERB
ajst-25033	82	5	having	have	VERB
ajst-25033	82	6	greater	great	ADJ
ajst-25033	82	7	advantages	advantage	NOUN
ajst-25033	82	8	in	in	ADP
ajst-25033	82	9	the	the	DET
ajst-25033	82	10	game	game	NOUN
ajst-25033	82	11	,	,	PUNCT
ajst-25033	82	12	which	which	PRON
ajst-25033	82	13	will	will	AUX
ajst-25033	82	14	affect	affect	VERB
ajst-25033	82	15	the	the	DET
ajst-25033	82	16	performance	performance	NOUN
ajst-25033	82	17	of	of	ADP
ajst-25033	82	18	the	the	DET
ajst-25033	82	19	players	player	NOUN
ajst-25033	82	20	naturally	naturally	ADV
ajst-25033	82	21	.	.	PUNCT
ajst-25033	83	1	non	non	ADJ
ajst-25033	83	2	-	-	ADJ
ajst-25033	83	3	forced	forced	ADJ
ajst-25033	83	4	errors	error	NOUN
ajst-25033	83	5	mean	mean	VERB
ajst-25033	83	6	losing	lose	VERB
ajst-25033	83	7	points	point	NOUN
ajst-25033	83	8	for	for	ADP
ajst-25033	83	9	nothing	nothing	PRON
ajst-25033	83	10	.	.	PUNCT
ajst-25033	84	1	the	the	DET
ajst-25033	84	2	influence	influence	NOUN
ajst-25033	84	3	on	on	ADP
ajst-25033	84	4	players	player	NOUN
ajst-25033	84	5	'	'	PART
ajst-25033	84	6	mentality	mentality	NOUN
ajst-25033	84	7	has	have	AUX
ajst-25033	84	8	also	also	ADV
ajst-25033	84	9	played	play	VERB
ajst-25033	84	10	an	an	DET
ajst-25033	84	11	important	important	ADJ
ajst-25033	84	12	role	role	NOUN
ajst-25033	84	13	in	in	ADP
ajst-25033	84	14	264	264	NUM
ajst-25033	84	15	previous	previous	ADJ
ajst-25033	84	16	studies	study	NOUN
ajst-25033	84	17	of	of	ADP
ajst-25033	84	18	momentum	momentum	NOUN
ajst-25033	84	19	.	.	PUNCT
ajst-25033	85	1	so	so	ADV
ajst-25033	85	2	this	this	DET
ajst-25033	85	3	paper	paper	NOUN
ajst-25033	85	4	attributes	attribute	VERB
ajst-25033	85	5	"	"	PUNCT
ajst-25033	85	6	momentum	momentum	NOUN
ajst-25033	85	7	"	"	PUNCT
ajst-25033	85	8	to	to	ADP
ajst-25033	85	9	an	an	DET
ajst-25033	85	10	indicator	indicator	NOUN
ajst-25033	85	11	of	of	ADP
ajst-25033	85	12	the	the	DET
ajst-25033	85	13	impact	impact	NOUN
ajst-25033	85	14	of	of	ADP
ajst-25033	85	15	various	various	ADJ
ajst-25033	85	16	situations	situation	NOUN
ajst-25033	85	17	on	on	ADP
ajst-25033	85	18	the	the	DET
ajst-25033	85	19	pitch	pitch	NOUN
ajst-25033	85	20	on	on	ADP
ajst-25033	85	21	the	the	DET
ajst-25033	85	22	players	player	NOUN
ajst-25033	85	23	'	'	PART
ajst-25033	85	24	mentality	mentality	NOUN
ajst-25033	85	25	.	.	PUNCT
ajst-25033	86	1	this	this	DET
ajst-25033	86	2	indicator	indicator	NOUN
ajst-25033	86	3	has	have	VERB
ajst-25033	86	4	a	a	DET
ajst-25033	86	5	considerable	considerable	ADJ
ajst-25033	86	6	effect	effect	NOUN
ajst-25033	86	7	on	on	ADP
ajst-25033	86	8	the	the	DET
ajst-25033	86	9	performance	performance	NOUN
ajst-25033	86	10	of	of	ADP
ajst-25033	86	11	the	the	DET
ajst-25033	86	12	players	player	NOUN
ajst-25033	86	13	.	.	PUNCT
ajst-25033	87	1	therefore	therefore	ADV
ajst-25033	87	2	,	,	PUNCT
ajst-25033	87	3	in	in	ADP
ajst-25033	87	4	order	order	NOUN
ajst-25033	87	5	to	to	PART
ajst-25033	87	6	determine	determine	VERB
ajst-25033	87	7	which	which	DET
ajst-25033	87	8	indicators	indicator	NOUN
ajst-25033	87	9	are	be	AUX
ajst-25033	87	10	important	important	ADJ
ajst-25033	87	11	in	in	ADP
ajst-25033	87	12	predicting	predict	VERB
ajst-25033	87	13	the	the	DET
ajst-25033	87	14	outcome	outcome	NOUN
ajst-25033	87	15	of	of	ADP
ajst-25033	87	16	the	the	DET
ajst-25033	87	17	competition	competition	NOUN
ajst-25033	87	18	,	,	PUNCT
ajst-25033	87	19	in	in	ADP
ajst-25033	87	20	this	this	DET
ajst-25033	87	21	part	part	NOUN
ajst-25033	87	22	,	,	PUNCT
ajst-25033	87	23	spearman	spearman	NOUN
ajst-25033	87	24	correlation	correlation	NOUN
ajst-25033	87	25	analysis	analysis	NOUN
ajst-25033	87	26	method	method	NOUN
ajst-25033	87	27	is	be	AUX
ajst-25033	87	28	used	use	VERB
ajst-25033	87	29	again.[6	again.[6	ADP
ajst-25033	87	30	]	]	PUNCT
ajst-25033	87	31	the	the	DET
ajst-25033	87	32	heat	heat	NOUN
ajst-25033	87	33	map	map	NOUN
ajst-25033	87	34	of	of	ADP
ajst-25033	87	35	the	the	DET
ajst-25033	87	36	correlation	correlation	NOUN
ajst-25033	87	37	coefficient	coefficient	NOUN
ajst-25033	87	38	is	be	AUX
ajst-25033	87	39	obtained	obtain	VERB
ajst-25033	87	40	as	as	SCONJ
ajst-25033	87	41	shown	show	VERB
ajst-25033	87	42	in	in	ADP
ajst-25033	87	43	figure	figure	NOUN
ajst-25033	87	44	5a	5a	NUM
ajst-25033	87	45	and	and	CCONJ
ajst-25033	87	46	figure	figure	NOUN
ajst-25033	87	47	5b	5b	NUM
ajst-25033	87	48	:	:	PUNCT
ajst-25033	87	49	(	(	PUNCT
ajst-25033	87	50	a	a	X
ajst-25033	87	51	)	)	PUNCT
ajst-25033	87	52	(	(	PUNCT
ajst-25033	87	53	b	b	X
ajst-25033	87	54	)	)	PUNCT
ajst-25033	87	55	figure	figure	NOUN
ajst-25033	87	56	5a	5a	NUM
ajst-25033	87	57	and	and	CCONJ
ajst-25033	87	58	5b	5b	NUM
ajst-25033	87	59	.	.	PUNCT
ajst-25033	88	1	thermal	thermal	ADJ
ajst-25033	88	2	diagram	diagram	NOUN
ajst-25033	88	3	of	of	ADP
ajst-25033	88	4	the	the	DET
ajst-25033	88	5	correlation	correlation	NOUN
ajst-25033	88	6	coefficient	coefficient	NOUN
ajst-25033	88	7	4	4	NUM
ajst-25033	88	8	.	.	PUNCT
ajst-25033	88	9	conclusion	conclusion	NOUN
ajst-25033	88	10	in	in	ADP
ajst-25033	88	11	this	this	DET
ajst-25033	88	12	paper	paper	NOUN
ajst-25033	88	13	,	,	PUNCT
ajst-25033	88	14	the	the	DET
ajst-25033	88	15	data	datum	NOUN
ajst-25033	88	16	of	of	ADP
ajst-25033	88	17	each	each	DET
ajst-25033	88	18	point	point	NOUN
ajst-25033	88	19	of	of	ADP
ajst-25033	88	20	wimbledon	wimbledon	PROPN
ajst-25033	88	21	2023	2023	NUM
ajst-25033	88	22	is	be	AUX
ajst-25033	88	23	cleaned	clean	VERB
ajst-25033	88	24	to	to	PART
ajst-25033	88	25	dealt	dealt	VERB
ajst-25033	88	26	with	with	ADP
ajst-25033	88	27	the	the	DET
ajst-25033	88	28	missing	miss	VERB
ajst-25033	88	29	values	value	NOUN
ajst-25033	88	30	and	and	CCONJ
ajst-25033	88	31	outliers	outlier	NOUN
ajst-25033	88	32	and	and	CCONJ
ajst-25033	88	33	unify	unify	VERB
ajst-25033	88	34	the	the	DET
ajst-25033	88	35	two	two	NUM
ajst-25033	88	36	different	different	ADJ
ajst-25033	88	37	scoring	scoring	NOUN
ajst-25033	88	38	methods	method	NOUN
ajst-25033	88	39	.	.	PUNCT
ajst-25033	89	1	firstly	firstly	ADV
ajst-25033	89	2	,	,	PUNCT
ajst-25033	89	3	in	in	ADP
ajst-25033	89	4	order	order	NOUN
ajst-25033	89	5	to	to	PART
ajst-25033	89	6	reflect	reflect	VERB
ajst-25033	89	7	the	the	DET
ajst-25033	89	8	players	player	NOUN
ajst-25033	89	9	’	’	PART
ajst-25033	89	10	performance	performance	NOUN
ajst-25033	89	11	from	from	ADP
ajst-25033	89	12	the	the	DET
ajst-25033	89	13	game	game	NOUN
ajst-25033	89	14	data	datum	NOUN
ajst-25033	89	15	intuitively	intuitively	ADV
ajst-25033	89	16	,	,	PUNCT
ajst-25033	89	17	this	this	DET
ajst-25033	89	18	paper	paper	NOUN
ajst-25033	89	19	establishes	establish	VERB
ajst-25033	89	20	a	a	DET
ajst-25033	89	21	random	random	ADJ
ajst-25033	89	22	forest	forest	NOUN
ajst-25033	89	23	classification	classification	NOUN
ajst-25033	89	24	model	model	NOUN
ajst-25033	89	25	.	.	PUNCT
ajst-25033	90	1	through	through	ADP
ajst-25033	90	2	the	the	DET
ajst-25033	90	3	training	training	NOUN
ajst-25033	90	4	of	of	ADP
ajst-25033	90	5	the	the	DET
ajst-25033	90	6	model	model	NOUN
ajst-25033	90	7	,	,	PUNCT
ajst-25033	90	8	the	the	DET
ajst-25033	90	9	weights	weight	NOUN
ajst-25033	90	10	of	of	ADP
ajst-25033	90	11	indicators	indicator	NOUN
ajst-25033	90	12	which	which	PRON
ajst-25033	90	13	influence	influence	VERB
ajst-25033	90	14	on	on	ADP
ajst-25033	90	15	players	player	NOUN
ajst-25033	90	16	in	in	ADP
ajst-25033	90	17	the	the	DET
ajst-25033	90	18	match	match	NOUN
ajst-25033	90	19	are	be	AUX
ajst-25033	90	20	obtained	obtain	VERB
ajst-25033	90	21	to	to	PART
ajst-25033	90	22	calculate	calculate	VERB
ajst-25033	90	23	the	the	DET
ajst-25033	90	24	"	"	PUNCT
ajst-25033	90	25	performance	performance	NOUN
ajst-25033	90	26	coefficients	coefficient	NOUN
ajst-25033	90	27	"	"	PUNCT
ajst-25033	90	28	of	of	ADP
ajst-25033	90	29	the	the	DET
ajst-25033	90	30	players	player	NOUN
ajst-25033	90	31	.	.	PUNCT
ajst-25033	91	1	so	so	ADV
ajst-25033	91	2	that	that	SCONJ
ajst-25033	91	3	players	player	NOUN
ajst-25033	91	4	'	'	PART
ajst-25033	91	5	performances	performance	NOUN
ajst-25033	91	6	be	be	AUX
ajst-25033	91	7	evaluated	evaluate	VERB
ajst-25033	91	8	visually	visually	ADV
ajst-25033	91	9	.	.	PUNCT
ajst-25033	92	1	secondly	secondly	ADV
ajst-25033	92	2	,	,	PUNCT
ajst-25033	92	3	according	accord	VERB
ajst-25033	92	4	to	to	ADP
ajst-25033	92	5	the	the	DET
ajst-25033	92	6	relevant	relevant	ADJ
ajst-25033	92	7	literature	literature	NOUN
ajst-25033	92	8	,	,	PUNCT
ajst-25033	92	9	indicators	indicator	NOUN
ajst-25033	92	10	related	relate	VERB
ajst-25033	92	11	to	to	ADP
ajst-25033	92	12	"	"	PUNCT
ajst-25033	92	13	momentum	momentum	NOUN
ajst-25033	92	14	"	"	PUNCT
ajst-25033	92	15	are	be	AUX
ajst-25033	92	16	obtained	obtain	VERB
ajst-25033	92	17	the	the	DET
ajst-25033	92	18	weight	weight	NOUN
ajst-25033	92	19	by	by	ADP
ajst-25033	92	20	the	the	DET
ajst-25033	92	21	critic	critic	NOUN
ajst-25033	92	22	weight	weight	NOUN
ajst-25033	92	23	method	method	NOUN
ajst-25033	92	24	in	in	ADP
ajst-25033	92	25	order	order	NOUN
ajst-25033	92	26	to	to	PART
ajst-25033	92	27	quantitative	quantitative	ADJ
ajst-25033	92	28	‘	'	PUNCT
ajst-25033	92	29	momentum	momentum	NOUN
ajst-25033	92	30	’	'	PUNCT
ajst-25033	92	31	.	.	PUNCT
ajst-25033	93	1	the	the	DET
ajst-25033	93	2	spearman	spearman	NOUN
ajst-25033	93	3	coefficient	coefficient	NOUN
ajst-25033	93	4	between	between	ADP
ajst-25033	93	5	"	"	PUNCT
ajst-25033	93	6	momentum	momentum	NOUN
ajst-25033	93	7	"	"	PUNCT
ajst-25033	93	8	and	and	CCONJ
ajst-25033	93	9	"	"	PUNCT
ajst-25033	93	10	performance	performance	NOUN
ajst-25033	93	11	coefficient	coefficient	NOUN
ajst-25033	93	12	"	"	PUNCT
ajst-25033	93	13	is	be	AUX
ajst-25033	93	14	0.479	0.479	NUM
ajst-25033	93	15	with	with	ADP
ajst-25033	93	16	significant	significant	ADJ
ajst-25033	93	17	correlation	correlation	NOUN
ajst-25033	93	18	.	.	PUNCT
ajst-25033	94	1	this	this	DET
ajst-25033	94	2	paper	paper	NOUN
ajst-25033	94	3	also	also	ADV
ajst-25033	94	4	analyzes	analyze	VERB
ajst-25033	94	5	the	the	DET
ajst-25033	94	6	correlation	correlation	NOUN
ajst-25033	94	7	between	between	ADP
ajst-25033	94	8	other	other	ADJ
ajst-25033	94	9	indicators	indicator	NOUN
ajst-25033	94	10	and	and	CCONJ
ajst-25033	94	11	"	"	PUNCT
ajst-25033	94	12	performance	performance	NOUN
ajst-25033	94	13	coefficient	coefficient	NOUN
ajst-25033	94	14	"	"	PUNCT
ajst-25033	94	15	.	.	PUNCT
ajst-25033	95	1	the	the	DET
ajst-25033	95	2	results	result	NOUN
ajst-25033	95	3	indicate	indicate	VERB
ajst-25033	95	4	that	that	SCONJ
ajst-25033	95	5	successful	successful	ADJ
ajst-25033	95	6	first	first	ADJ
ajst-25033	95	7	serve	serve	NOUN
ajst-25033	95	8	,	,	PUNCT
ajst-25033	95	9	unforced	unforced	ADJ
ajst-25033	95	10	errors	error	NOUN
ajst-25033	95	11	,	,	PUNCT
ajst-25033	95	12	running	run	VERB
ajst-25033	95	13	distance	distance	NOUN
ajst-25033	95	14	,	,	PUNCT
ajst-25033	95	15	number	number	NOUN
ajst-25033	95	16	of	of	ADP
ajst-25033	95	17	shots	shot	NOUN
ajst-25033	95	18	and	and	CCONJ
ajst-25033	95	19	other	other	ADJ
ajst-25033	95	20	indicators	indicator	NOUN
ajst-25033	95	21	have	have	VERB
ajst-25033	95	22	great	great	ADJ
ajst-25033	95	23	impact	impact	NOUN
ajst-25033	95	24	on	on	ADP
ajst-25033	95	25	the	the	DET
ajst-25033	95	26	swings	swing	NOUN
ajst-25033	95	27	in	in	ADP
ajst-25033	95	28	matches	match	NOUN
ajst-25033	95	29	.	.	PUNCT
ajst-25033	96	1	thirdly	thirdly	ADV
ajst-25033	96	2	,	,	PUNCT
ajst-25033	96	3	in	in	ADP
ajst-25033	96	4	order	order	NOUN
ajst-25033	96	5	to	to	PART
ajst-25033	96	6	predict	predict	VERB
ajst-25033	96	7	the	the	DET
ajst-25033	96	8	swings	swing	NOUN
ajst-25033	96	9	in	in	ADP
ajst-25033	96	10	matches	match	NOUN
ajst-25033	96	11	in	in	ADP
ajst-25033	96	12	view	view	NOUN
ajst-25033	96	13	of	of	ADP
ajst-25033	96	14	the	the	DET
ajst-25033	96	15	amount	amount	NOUN
ajst-25033	96	16	of	of	ADP
ajst-25033	96	17	indicators	indicator	NOUN
ajst-25033	96	18	,	,	PUNCT
ajst-25033	96	19	this	this	DET
ajst-25033	96	20	paper	paper	NOUN
ajst-25033	96	21	combines	combine	VERB
ajst-25033	96	22	cnn	cnn	PROPN
ajst-25033	96	23	and	and	CCONJ
ajst-25033	96	24	lstm	lstm	NOUN
ajst-25033	96	25	to	to	PART
ajst-25033	96	26	form	form	VERB
ajst-25033	96	27	a	a	DET
ajst-25033	96	28	prediction	prediction	NOUN
ajst-25033	96	29	model	model	NOUN
ajst-25033	96	30	.	.	PUNCT
ajst-25033	97	1	model	model	PROPN
ajst-25033	97	2	works	work	VERB
ajst-25033	97	3	well	well	ADV
ajst-25033	97	4	(	(	PUNCT
ajst-25033	97	5	rmse<1	rmse<1	NOUN
ajst-25033	97	6	)	)	PUNCT
ajst-25033	97	7	for	for	ADP
ajst-25033	97	8	matches	match	NOUN
ajst-25033	97	9	data	datum	NOUN
ajst-25033	97	10	of	of	ADP
ajst-25033	97	11	wimbledon,2023	wimbledon,2023	NOUN
ajst-25033	97	12	.	.	PUNCT
ajst-25033	98	1	we	we	PRON
ajst-25033	98	2	have	have	AUX
ajst-25033	98	3	found	find	VERB
ajst-25033	98	4	that	that	SCONJ
ajst-25033	98	5	,	,	PUNCT
ajst-25033	98	6	the	the	DET
ajst-25033	98	7	evaluation	evaluation	NOUN
ajst-25033	98	8	model	model	NOUN
ajst-25033	98	9	we	we	PRON
ajst-25033	98	10	established	establish	VERB
ajst-25033	98	11	in	in	ADP
ajst-25033	98	12	this	this	DET
ajst-25033	98	13	paper	paper	NOUN
ajst-25033	98	14	can	can	AUX
ajst-25033	98	15	accurately	accurately	ADV
ajst-25033	98	16	explore	explore	VERB
ajst-25033	98	17	the	the	DET
ajst-25033	98	18	factors	factor	NOUN
ajst-25033	98	19	that	that	PRON
ajst-25033	98	20	have	have	VERB
ajst-25033	98	21	a	a	DET
ajst-25033	98	22	great	great	ADJ
ajst-25033	98	23	influence	influence	NOUN
ajst-25033	98	24	on	on	ADP
ajst-25033	98	25	the	the	DET
ajst-25033	98	26	competition	competition	NOUN
ajst-25033	98	27	results	result	NOUN
ajst-25033	98	28	.	.	PUNCT
ajst-25033	99	1	furthermore	furthermore	ADV
ajst-25033	99	2	,	,	PUNCT
ajst-25033	99	3	the	the	DET
ajst-25033	99	4	prediction	prediction	NOUN
ajst-25033	99	5	model	model	NOUN
ajst-25033	99	6	can	can	AUX
ajst-25033	99	7	predict	predict	VERB
ajst-25033	99	8	the	the	DET
ajst-25033	99	9	competition	competition	NOUN
ajst-25033	99	10	results	result	VERB
ajst-25033	99	11	well	well	ADV
ajst-25033	99	12	.	.	PUNCT
ajst-25033	100	1	in	in	ADP
ajst-25033	100	2	a	a	DET
ajst-25033	100	3	word	word	NOUN
ajst-25033	100	4	,	,	PUNCT
ajst-25033	100	5	the	the	DET
ajst-25033	100	6	models	model	NOUN
ajst-25033	100	7	we	we	PRON
ajst-25033	100	8	established	establish	VERB
ajst-25033	100	9	provided	provide	VERB
ajst-25033	100	10	us	we	PRON
ajst-25033	100	11	with	with	ADP
ajst-25033	100	12	a	a	DET
ajst-25033	100	13	platform	platform	NOUN
ajst-25033	100	14	to	to	PART
ajst-25033	100	15	quantify	quantify	VERB
ajst-25033	100	16	the	the	DET
ajst-25033	100	17	performance	performance	NOUN
ajst-25033	100	18	indicators	indicator	NOUN
ajst-25033	100	19	and	and	CCONJ
ajst-25033	100	20	momentum	momentum	NOUN
ajst-25033	100	21	indicators	indicator	NOUN
ajst-25033	100	22	.	.	PUNCT
ajst-25033	101	1	references	reference	NOUN
ajst-25033	101	2	[	[	X
ajst-25033	101	3	1	1	NUM
ajst-25033	101	4	]	]	X
ajst-25033	101	5	zhang	zhang	PROPN
ajst-25033	101	6	yu	yu	PROPN
ajst-25033	101	7	,	,	PUNCT
ajst-25033	101	8	wei	wei	PROPN
ajst-25033	101	9	huabo	huabo	PROPN
ajst-25033	101	10	.	.	PUNCT
ajst-25033	102	1	multiple	multiple	ADJ
ajst-25033	102	2	attribute	attribute	NOUN
ajst-25033	102	3	decision	decision	NOUN
ajst-25033	102	4	making	making	NOUN
ajst-25033	102	5	based	base	VERB
ajst-25033	102	6	on	on	ADP
ajst-25033	102	7	critic	critic	ADJ
ajst-25033	102	8	combination	combination	NOUN
ajst-25033	102	9	empowerment	empowerment	NOUN
ajst-25033	102	10	method	method	NOUN
ajst-25033	103	1	[	[	X
ajst-25033	103	2	j	j	X
ajst-25033	103	3	]	]	X
ajst-25033	103	4	.	.	PUNCT
ajst-25033	104	1	journal	journal	PROPN
ajst-25033	104	2	of	of	ADP
ajst-25033	104	3	statistics	statistic	NOUN
ajst-25033	104	4	and	and	CCONJ
ajst-25033	104	5	decision	decision	NOUN
ajst-25033	104	6	,	,	PUNCT
ajst-25033	104	7	2012	2012	NUM
ajst-25033	104	8	,	,	PUNCT
ajst-25033	104	9	(	(	PUNCT
ajst-25033	104	10	16	16	NUM
ajst-25033	104	11	):	):	PUNCT
ajst-25033	104	12	75	75	NUM
ajst-25033	104	13	-	-	SYM
ajst-25033	104	14	77	77	NUM
ajst-25033	104	15	.	.	PUNCT
ajst-25033	105	1	the	the	DET
ajst-25033	105	2	doi	doi	NOUN
ajst-25033	105	3	:	:	PUNCT
ajst-25033	105	4	10.13546	10.13546	NUM
ajst-25033	105	5	/	/	SYM
ajst-25033	105	6	j.	j.	PROPN
ajst-25033	105	7	carol	carol	PROPN
ajst-25033	105	8	carroll	carroll	PROPN
ajst-25033	105	9	nki	nki	PROPN
ajst-25033	105	10	tjyjc	tjyjc	NOUN
ajst-25033	105	11	.	.	PUNCT
ajst-25033	106	1	2012.16.009	2012.16.009	NUM
ajst-25033	106	2	.	.	PUNCT
ajst-25033	107	1	[	[	X
ajst-25033	107	2	2	2	X
ajst-25033	107	3	]	]	X
ajst-25033	107	4	liu	liu	PROPN
ajst-25033	107	5	w	w	PROPN
ajst-25033	107	6	,	,	PUNCT
ajst-25033	107	7	liu	liu	PROPN
ajst-25033	107	8	a	a	PROPN
ajst-25033	107	9	,	,	PUNCT
ajst-25033	107	10	qin	qin	PROPN
ajst-25033	107	11	h	h	PROPN
ajst-25033	107	12	,	,	PUNCT
ajst-25033	107	13	et	et	PROPN
ajst-25033	107	14	al	al	PROPN
ajst-25033	107	15	.	.	PUNCT
ajst-25033	107	16	application	application	NOUN
ajst-25033	107	17	of	of	ADP
ajst-25033	107	18	hybrid	hybrid	ADJ
ajst-25033	107	19	multi	multi	ADJ
ajst-25033	107	20	-	-	ADJ
ajst-25033	107	21	criteria	criterion	NOUN
ajst-25033	107	22	decision	decision	NOUN
ajst-25033	107	23	-	-	PUNCT
ajst-25033	107	24	making	make	VERB
ajst-25033	107	25	approach	approach	NOUN
ajst-25033	107	26	to	to	PART
ajst-25033	107	27	analyze	analyze	VERB
ajst-25033	107	28	wastewater	wastewater	NOUN
ajst-25033	107	29	microalgae	microalgae	NOUN
ajst-25033	107	30	culture	culture	NOUN
ajst-25033	107	31	systems	system	NOUN
ajst-25033	107	32	for	for	ADP
ajst-25033	107	33	bioenergy	bioenergy	NOUN
ajst-25033	107	34	production	production	NOUN
ajst-25033	107	35	.	.	PUNCT
ajst-25033	108	1	[	[	X
ajst-25033	108	2	j	j	X
ajst-25033	108	3	]	]	X
ajst-25033	108	4	.	.	PUNCT
ajst-25033	109	1	environmental	environmental	ADJ
ajst-25033	109	2	research,2024,256:119234	research,2024,256:119234	PROPN
ajst-25033	109	3	-	-	PUNCT
ajst-25033	109	4	119234	119234	NUM
ajst-25033	109	5	.	.	PUNCT
ajst-25033	110	1	[	[	X
ajst-25033	110	2	3	3	NUM
ajst-25033	110	3	]	]	X
ajst-25033	110	4	li	li	PROPN
ajst-25033	110	5	chao	chao	PROPN
ajst-25033	110	6	,	,	PUNCT
ajst-25033	110	7	yang	yang	PROPN
ajst-25033	110	8	hui	hui	PROPN
ajst-25033	110	9	,	,	PUNCT
ajst-25033	110	10	bao	bao	PROPN
ajst-25033	110	11	bowen	bowen	PROPN
ajst-25033	110	12	,	,	PUNCT
ajst-25033	110	13	et	et	PROPN
ajst-25033	110	14	al	al	PROPN
ajst-25033	110	15	.	.	PROPN
ajst-25033	110	16	spearman	spearman	NOUN
ajst-25033	110	17	correlation	correlation	NOUN
ajst-25033	110	18	coefficient	coefficient	NOUN
ajst-25033	110	19	abnormal	abnormal	ADJ
ajst-25033	110	20	behavior	behavior	NOUN
ajst-25033	110	21	monitoring	monitor	VERB
ajst-25033	110	22	technology	technology	NOUN
ajst-25033	110	23	based	base	VERB
ajst-25033	110	24	on	on	ADP
ajst-25033	110	25	rnn	rnn	NOUN
ajst-25033	110	26	in	in	ADP
ajst-25033	110	27	5	5	NUM
ajst-25033	110	28	g	g	NOUN
ajst-25033	110	29	network	network	NOUN
ajst-25033	110	30	for	for	ADP
ajst-25033	110	31	smart	smart	ADJ
ajst-25033	110	32	city[a].16th	city[a].16th	ADJ
ajst-25033	110	33	international	international	ADJ
ajst-25033	110	34	wireless	wireless	NOUN
ajst-25033	110	35	communications	communication	NOUN
ajst-25033	110	36	and	and	CCONJ
ajst-25033	110	37	mobile	mobile	NOUN
ajst-25033	110	38	computing	computing	NOUN
ajst-25033	110	39	conference	conference	NOUN
ajst-25033	110	40	,	,	PUNCT
ajst-25033	110	41	2020	2020	NUM
ajst-25033	110	42	:	:	PUNCT
ajst-25033	110	43	1440	1440	NUM
ajst-25033	110	44	-	-	SYM
ajst-25033	110	45	1442	1442	NUM
ajst-25033	110	46	.	.	PUNCT
ajst-25033	111	1	[	[	X
ajst-25033	111	2	4	4	NUM
ajst-25033	111	3	]	]	X
ajst-25033	111	4	li	li	PROPN
ajst-25033	111	5	mei	mei	PROPN
ajst-25033	111	6	,	,	PUNCT
ajst-25033	111	7	ning	ning	NOUN
ajst-25033	111	8	dejun	dejun	PROPN
ajst-25033	111	9	,	,	PUNCT
ajst-25033	111	10	guo	guo	PROPN
ajst-25033	111	11	jiacheng	jiacheng	PROPN
ajst-25033	111	12	.	.	PUNCT
ajst-25033	112	1	cnn	cnn	PROPN
ajst-25033	112	2	-	-	PUNCT
ajst-25033	112	3	lstm	lstm	PROPN
ajst-25033	112	4	model	model	NOUN
ajst-25033	112	5	based	base	VERB
ajst-25033	112	6	on	on	ADP
ajst-25033	112	7	attention	attention	NOUN
ajst-25033	112	8	mechanism	mechanism	NOUN
ajst-25033	112	9	and	and	CCONJ
ajst-25033	112	10	its	its	PRON
ajst-25033	112	11	application	application	NOUN
ajst-25033	112	12	[	[	X
ajst-25033	112	13	j	j	X
ajst-25033	112	14	]	]	X
ajst-25033	112	15	.	.	PUNCT
ajst-25033	113	1	computer	computer	NOUN
ajst-25033	113	2	engineering	engineering	NOUN
ajst-25033	113	3	and	and	CCONJ
ajst-25033	113	4	applications,2019,55(13):20	applications,2019,55(13):20	PROPN
ajst-25033	113	5	-	-	PUNCT
ajst-25033	113	6	27	27	NUM
ajst-25033	113	7	.	.	PUNCT
ajst-25033	114	1	[	[	X
ajst-25033	114	2	5	5	NUM
ajst-25033	114	3	]	]	PUNCT
ajst-25033	114	4	zhu	zhu	PROPN
ajst-25033	114	5	x	x	SYM
ajst-25033	114	6	,	,	PUNCT
ajst-25033	114	7	chen	chen	PROPN
ajst-25033	114	8	g	g	PROPN
ajst-25033	114	9	,	,	PUNCT
ajst-25033	114	10	ni	ni	PROPN
ajst-25033	114	11	c	c	PROPN
ajst-25033	114	12	,	,	PUNCT
ajst-25033	114	13	et	et	PROPN
ajst-25033	114	14	al.hybrid	al.hybrid	VERB
ajst-25033	114	15	cnn	cnn	PROPN
ajst-25033	114	16	-	-	PUNCT
ajst-25033	114	17	lstm	lstm	PROPN
ajst-25033	114	18	model	model	NOUN
ajst-25033	114	19	driven	drive	VERB
ajst-25033	114	20	image	image	NOUN
ajst-25033	114	21	segmentation	segmentation	NOUN
ajst-25033	114	22	and	and	CCONJ
ajst-25033	114	23	roughness	roughness	NOUN
ajst-25033	114	24	prediction	prediction	NOUN
ajst-25033	114	25	for	for	ADP
ajst-25033	114	26	tool	tool	NOUN
ajst-25033	114	27	condition	condition	NOUN
ajst-25033	114	28	assessment	assessment	NOUN
ajst-25033	114	29	with	with	ADP
ajst-25033	114	30	heterogeneous	heterogeneous	ADJ
ajst-25033	114	31	data[j].robotics	data[j].robotic	NOUN
ajst-25033	114	32	and	and	CCONJ
ajst-25033	114	33	computer	computer	NOUN
ajst-25033	114	34	-	-	PUNCT
ajst-25033	114	35	integrated	integrate	VERB
ajst-25033	114	36	manufacturing,2024(90):90102796-	manufacturing,2024(90):90102796-	NOUN
ajst-25033	114	37	.	.	PUNCT
ajst-25033	115	1	[	[	X
ajst-25033	115	2	6	6	NUM
ajst-25033	115	3	]	]	X
ajst-25033	115	4	han	han	PROPN
ajst-25033	115	5	y	y	PROPN
ajst-25033	115	6	,	,	PUNCT
ajst-25033	115	7	d.	d.	PROPN
ajst-25033	115	8	a	a	DET
ajst-25033	115	9	h.	h.	PROPN
ajst-25033	115	10	a	a	DET
ajst-25033	115	11	robust	robust	ADJ
ajst-25033	115	12	spearman	spearman	NOUN
ajst-25033	115	13	correlation	correlation	NOUN
ajst-25033	115	14	coefficient	coefficient	NOUN
ajst-25033	115	15	permutation	permutation	NOUN
ajst-25033	115	16	test	test	NOUN
ajst-25033	116	1	[	[	X
ajst-25033	116	2	j].communications	j].communication	NOUN
ajst-25033	116	3	in	in	ADP
ajst-25033	116	4	statistics	statistic	NOUN
ajst-25033	116	5	theory	theory	NOUN
ajst-25033	116	6	and	and	CCONJ
ajst-25033	116	7	methods	method	NOUN
ajst-25033	116	8	,	,	PUNCT
ajst-25033	116	9	2024,53(6):2141	2024,53(6):2141	NUM
ajst-25033	116	10	-	-	SYM
ajst-25033	116	11	2153	2153	NUM
ajst-25033	116	12	.	.	PUNCT