id	sid	tid	token	lemma	pos
cana-3244	1	1	communications	communication	NOUN
cana-3244	1	2	on	on	ADP
cana-3244	1	3	applied	apply	VERB
cana-3244	1	4	nonlinear	nonlinear	ADJ
cana-3244	1	5	analysis	analysis	NOUN
cana-3244	1	6	issn	issn	NOUN
cana-3244	1	7	:	:	PUNCT
cana-3244	1	8	1074	1074	NUM
cana-3244	1	9	-	-	PUNCT
cana-3244	1	10	133x	133x	NUM
cana-3244	1	11	vol	vol	NOUN
cana-3244	1	12	32	32	NUM
cana-3244	1	13	no	no	NOUN
cana-3244	1	14	.	.	PUNCT
cana-3244	2	1	6s	6s	NUM
cana-3244	2	2	(	(	PUNCT
cana-3244	2	3	2025	2025	NUM
cana-3244	2	4	)	)	PUNCT
cana-3244	2	5	54	54	NUM
cana-3244	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	2	7	hybrid	hybrid	ADJ
cana-3244	2	8	framework	framework	NOUN
cana-3244	2	9	for	for	ADP
cana-3244	2	10	twitter	twitter	NOUN
cana-3244	2	11	data	datum	NOUN
cana-3244	2	12	sentiment	sentiment	NOUN
cana-3244	2	13	classification	classification	NOUN
cana-3244	2	14	using	use	VERB
cana-3244	2	15	mlp	mlp	NOUN
cana-3244	2	16	-	-	PUNCT
cana-3244	2	17	deep	deep	ADJ
cana-3244	2	18	learning	learning	NOUN
cana-3244	2	19	*	*	NOUN
cana-3244	2	20	1l	1l	NUM
cana-3244	2	21	.	.	PUNCT
cana-3244	3	1	sudha	sudha	PROPN
cana-3244	3	2	rani	rani	PROPN
cana-3244	3	3	,	,	PUNCT
cana-3244	3	4	2s	2s	PROPN
cana-3244	3	5	.	.	PUNCT
cana-3244	4	1	zahoor	zahoor	PROPN
cana-3244	4	2	-	-	PUNCT
cana-3244	4	3	ul	ul	PROPN
cana-3244	4	4	-	-	PUNCT
cana-3244	4	5	huq	huq	PROPN
cana-3244	4	6	,	,	PUNCT
cana-3244	4	7	3c	3c	NUM
cana-3244	4	8	.	.	PUNCT
cana-3244	5	1	shoba	shoba	VERB
cana-3244	5	2	bindu	bindu	NOUN
cana-3244	5	3	*	*	PROPN
cana-3244	5	4	1research	1research	NUM
cana-3244	5	5	scholar	scholar	NOUN
cana-3244	5	6	,	,	PUNCT
cana-3244	5	7	department	department	NOUN
cana-3244	5	8	of	of	ADP
cana-3244	5	9	cse	cse	PROPN
cana-3244	5	10	,	,	PUNCT
cana-3244	5	11	jawaharlal	jawaharlal	PROPN
cana-3244	5	12	nehru	nehru	PROPN
cana-3244	5	13	technological	technological	PROPN
cana-3244	5	14	university	university	NOUN
cana-3244	5	15	anantapur	anantapur	PROPN
cana-3244	5	16	(	(	PUNCT
cana-3244	5	17	jntua	jntua	PROPN
cana-3244	5	18	)	)	PUNCT
cana-3244	5	19	,	,	PUNCT
cana-3244	5	20	anantapur	anantapur	PROPN
cana-3244	5	21	515002	515002	NUM
cana-3244	5	22	,	,	PUNCT
cana-3244	5	23	india	india	PROPN
cana-3244	5	24	.	.	PUNCT
cana-3244	5	25	email	email	NOUN
cana-3244	5	26	:	:	PUNCT
cana-3244	5	27	sudha10211@gmail.com	sudha10211@gmail.com	X
cana-3244	6	1	2professor	2professor	NUM
cana-3244	6	2	,	,	PUNCT
cana-3244	6	3	department	department	NOUN
cana-3244	6	4	of	of	ADP
cana-3244	6	5	cse	cse	PROPN
cana-3244	6	6	,	,	PUNCT
cana-3244	6	7	g.	g.	PROPN
cana-3244	6	8	pulla	pulla	PROPN
cana-3244	6	9	reddy	reddy	PROPN
cana-3244	6	10	engineering	engineering	PROPN
cana-3244	6	11	college	college	PROPN
cana-3244	6	12	,	,	PUNCT
cana-3244	6	13	kurnool	kurnool	PROPN
cana-3244	6	14	,	,	PUNCT
cana-3244	6	15	india	india	PROPN
cana-3244	6	16	.	.	PUNCT
cana-3244	7	1	email	email	NOUN
cana-3244	7	2	:	:	PUNCT
cana-3244	7	3	szahoor@gmail.com	szahoor@gmail.com	X
cana-3244	7	4	3professor	3professor	NUM
cana-3244	7	5	,	,	PUNCT
cana-3244	7	6	department	department	NOUN
cana-3244	7	7	of	of	ADP
cana-3244	7	8	cse	cse	PROPN
cana-3244	7	9	,	,	PUNCT
cana-3244	7	10	jawaharlal	jawaharlal	PROPN
cana-3244	7	11	nehru	nehru	PROPN
cana-3244	7	12	technological	technological	PROPN
cana-3244	7	13	university	university	NOUN
cana-3244	7	14	anantapur	anantapur	PROPN
cana-3244	7	15	(	(	PUNCT
cana-3244	7	16	jntua	jntua	PROPN
cana-3244	7	17	)	)	PUNCT
cana-3244	7	18	,	,	PUNCT
cana-3244	7	19	ananthapur	ananthapur	NOUN
cana-3244	7	20	,	,	PUNCT
cana-3244	7	21	india	india	PROPN
cana-3244	7	22	.	.	PUNCT
cana-3244	7	23	email	email	NOUN
cana-3244	7	24	:	:	PUNCT
cana-3244	7	25	shobabindhu.cse@jntua.ac.in	shobabindhu.cse@jntua.ac.in	PROPN
cana-3244	7	26	article	article	NOUN
cana-3244	7	27	history	history	NOUN
cana-3244	7	28	:	:	PUNCT
cana-3244	7	29	received	receive	VERB
cana-3244	7	30	:	:	PUNCT
cana-3244	7	31	14	14	NUM
cana-3244	7	32	-	-	SYM
cana-3244	7	33	10	10	NUM
cana-3244	7	34	-	-	PUNCT
cana-3244	7	35	2024	2024	NUM
cana-3244	7	36	revised	revise	VERB
cana-3244	7	37	:	:	PUNCT
cana-3244	7	38	29	29	NUM
cana-3244	7	39	-	-	SYM
cana-3244	7	40	11	11	NUM
cana-3244	7	41	-	-	PUNCT
cana-3244	7	42	2024	2024	NUM
cana-3244	7	43	accepted	accept	VERB
cana-3244	7	44	:	:	PUNCT
cana-3244	7	45	10	10	NUM
cana-3244	7	46	-	-	SYM
cana-3244	7	47	12	12	NUM
cana-3244	7	48	-	-	PUNCT
cana-3244	7	49	2024	2024	NUM
cana-3244	7	50	abstract	abstract	NOUN
cana-3244	7	51	:	:	PUNCT
cana-3244	7	52	organizations	organization	NOUN
cana-3244	7	53	collect	collect	VERB
cana-3244	7	54	data	datum	NOUN
cana-3244	7	55	on	on	ADP
cana-3244	7	56	user	user	NOUN
cana-3244	7	57	opinions	opinion	NOUN
cana-3244	7	58	from	from	ADP
cana-3244	7	59	social	social	ADJ
cana-3244	7	60	media	medium	NOUN
cana-3244	7	61	,	,	PUNCT
cana-3244	7	62	enabling	enable	VERB
cana-3244	7	63	research	research	NOUN
cana-3244	7	64	into	into	ADP
cana-3244	7	65	trends	trend	NOUN
cana-3244	7	66	and	and	CCONJ
cana-3244	7	67	behavior	behavior	NOUN
cana-3244	7	68	.	.	PUNCT
cana-3244	8	1	classifying	classify	VERB
cana-3244	8	2	text	text	NOUN
cana-3244	8	3	by	by	ADP
cana-3244	8	4	identifying	identify	VERB
cana-3244	8	5	sentiments	sentiment	NOUN
cana-3244	8	6	within	within	ADP
cana-3244	8	7	content	content	NOUN
cana-3244	8	8	is	be	AUX
cana-3244	8	9	complex	complex	ADJ
cana-3244	8	10	due	due	ADJ
cana-3244	8	11	to	to	ADP
cana-3244	8	12	varying	vary	VERB
cana-3244	8	13	expressions	expression	NOUN
cana-3244	8	14	and	and	CCONJ
cana-3244	8	15	contexts	contexts	NOUN
cana-3244	8	16	.	.	PUNCT
cana-3244	9	1	sentence	sentence	NOUN
cana-3244	9	2	-	-	PUNCT
cana-3244	9	3	level	level	NOUN
cana-3244	9	4	analysis	analysis	NOUN
cana-3244	9	5	,	,	PUNCT
cana-3244	9	6	often	often	ADV
cana-3244	9	7	employed	employ	VERB
cana-3244	9	8	by	by	ADP
cana-3244	9	9	traditional	traditional	ADJ
cana-3244	9	10	approaches	approach	NOUN
cana-3244	9	11	,	,	PUNCT
cana-3244	9	12	overlooks	overlook	VERB
cana-3244	9	13	key	key	ADJ
cana-3244	9	14	aspects	aspect	NOUN
cana-3244	9	15	hidden	hide	VERB
cana-3244	9	16	in	in	ADP
cana-3244	9	17	the	the	DET
cana-3244	9	18	data	datum	NOUN
cana-3244	9	19	.	.	PUNCT
cana-3244	10	1	a	a	DET
cana-3244	10	2	hybrid	hybrid	ADJ
cana-3244	10	3	framework	framework	NOUN
cana-3244	10	4	integrating	integrate	VERB
cana-3244	10	5	twitter	twitter	NOUN
cana-3244	10	6	-	-	PUNCT
cana-3244	10	7	based	base	VERB
cana-3244	10	8	feature	feature	NOUN
cana-3244	10	9	selection	selection	NOUN
cana-3244	10	10	with	with	ADP
cana-3244	10	11	sentiment	sentiment	NOUN
cana-3244	10	12	classification	classification	NOUN
cana-3244	10	13	using	use	VERB
cana-3244	10	14	a	a	DET
cana-3244	10	15	multi	multi	ADJ
cana-3244	10	16	-	-	ADJ
cana-3244	10	17	layer	layer	ADJ
cana-3244	10	18	perceptron	perceptron	NOUN
cana-3244	10	19	(	(	PUNCT
cana-3244	10	20	mlp	mlp	PROPN
cana-3244	10	21	)	)	PUNCT
cana-3244	10	22	model	model	NOUN
cana-3244	10	23	is	be	AUX
cana-3244	10	24	introduced	introduce	VERB
cana-3244	10	25	in	in	ADP
cana-3244	10	26	this	this	DET
cana-3244	10	27	paper	paper	NOUN
cana-3244	10	28	.	.	PUNCT
cana-3244	11	1	techniques	technique	NOUN
cana-3244	11	2	such	such	ADJ
cana-3244	11	3	as	as	ADP
cana-3244	11	4	support	support	NOUN
cana-3244	11	5	vector	vector	NOUN
cana-3244	11	6	classifiers	classifier	NOUN
cana-3244	11	7	and	and	CCONJ
cana-3244	11	8	random	random	ADJ
cana-3244	11	9	forests	forest	NOUN
cana-3244	11	10	are	be	AUX
cana-3244	11	11	examined	examine	VERB
cana-3244	11	12	to	to	PART
cana-3244	11	13	enhance	enhance	VERB
cana-3244	11	14	the	the	DET
cana-3244	11	15	accuracy	accuracy	NOUN
cana-3244	11	16	of	of	ADP
cana-3244	11	17	classification	classification	NOUN
cana-3244	11	18	.	.	PUNCT
cana-3244	12	1	baseline	baseline	PROPN
cana-3244	12	2	models	model	NOUN
cana-3244	12	3	are	be	AUX
cana-3244	12	4	compared	compare	VERB
cana-3244	12	5	with	with	ADP
cana-3244	12	6	the	the	DET
cana-3244	12	7	proposed	propose	VERB
cana-3244	12	8	framework	framework	NOUN
cana-3244	12	9	,	,	PUNCT
cana-3244	12	10	which	which	PRON
cana-3244	12	11	demonstrates	demonstrate	VERB
cana-3244	12	12	reliable	reliable	ADJ
cana-3244	12	13	precision	precision	NOUN
cana-3244	12	14	and	and	CCONJ
cana-3244	12	15	improved	improve	VERB
cana-3244	12	16	classification	classification	NOUN
cana-3244	12	17	in	in	ADP
cana-3244	12	18	experiments	experiment	NOUN
cana-3244	12	19	across	across	ADP
cana-3244	12	20	several	several	ADJ
cana-3244	12	21	datasets	dataset	NOUN
cana-3244	12	22	.	.	PUNCT
cana-3244	13	1	the	the	DET
cana-3244	13	2	structured	structured	ADJ
cana-3244	13	3	hybrid	hybrid	NOUN
cana-3244	13	4	approach	approach	NOUN
cana-3244	13	5	directly	directly	ADV
cana-3244	13	6	addresses	address	VERB
cana-3244	13	7	challenges	challenge	NOUN
cana-3244	13	8	that	that	PRON
cana-3244	13	9	arise	arise	VERB
cana-3244	13	10	when	when	SCONJ
cana-3244	13	11	analyzing	analyze	VERB
cana-3244	13	12	content	content	NOUN
cana-3244	13	13	from	from	ADP
cana-3244	13	14	social	social	ADJ
cana-3244	13	15	media	medium	NOUN
cana-3244	13	16	platforms	platform	NOUN
cana-3244	13	17	.	.	PUNCT
cana-3244	14	1	keywords	keyword	NOUN
cana-3244	14	2	:	:	PUNCT
cana-3244	14	3	twitter	twitter	NOUN
cana-3244	14	4	data	data	PROPN
cana-3244	14	5	;	;	PUNCT
cana-3244	14	6	sentiment	sentiment	NOUN
cana-3244	14	7	analysis	analysis	NOUN
cana-3244	14	8	;	;	PUNCT
cana-3244	14	9	deep	deep	ADJ
cana-3244	14	10	learning	learning	NOUN
cana-3244	14	11	;	;	PUNCT
cana-3244	14	12	word	word	NOUN
cana-3244	14	13	embedding	embed	VERB
cana-3244	14	14	;	;	PUNCT
cana-3244	14	15	hybrid	hybrid	ADJ
cana-3244	14	16	framework	framework	NOUN
cana-3244	14	17	1	1	NUM
cana-3244	14	18	.	.	PUNCT
cana-3244	15	1	introduction	introduction	NOUN
cana-3244	15	2	sentiment	sentiment	NOUN
cana-3244	15	3	analysis	analysis	NOUN
cana-3244	15	4	identifies	identify	VERB
cana-3244	15	5	attitudes	attitude	NOUN
cana-3244	15	6	and	and	CCONJ
cana-3244	15	7	opinions	opinion	NOUN
cana-3244	15	8	about	about	ADP
cana-3244	15	9	objects	object	NOUN
cana-3244	15	10	or	or	CCONJ
cana-3244	15	11	entities	entity	NOUN
cana-3244	15	12	through	through	ADP
cana-3244	15	13	text	text	NOUN
cana-3244	15	14	.	.	PUNCT
cana-3244	16	1	extracting	extract	VERB
cana-3244	16	2	precise	precise	ADJ
cana-3244	16	3	sentiments	sentiment	NOUN
cana-3244	16	4	can	can	AUX
cana-3244	16	5	be	be	AUX
cana-3244	16	6	difficult	difficult	ADJ
cana-3244	16	7	due	due	ADJ
cana-3244	16	8	to	to	ADP
cana-3244	16	9	varying	vary	VERB
cana-3244	16	10	expressions	expression	NOUN
cana-3244	16	11	across	across	ADP
cana-3244	16	12	natural	natural	ADJ
cana-3244	16	13	language	language	NOUN
cana-3244	16	14	.	.	PUNCT
cana-3244	17	1	this	this	DET
cana-3244	17	2	process	process	NOUN
cana-3244	17	3	often	often	ADV
cana-3244	17	4	operates	operate	VERB
cana-3244	17	5	at	at	ADP
cana-3244	17	6	the	the	DET
cana-3244	17	7	document	document	NOUN
cana-3244	17	8	level	level	NOUN
cana-3244	17	9	to	to	PART
cana-3244	17	10	detect	detect	VERB
cana-3244	17	11	overall	overall	ADV
cana-3244	17	12	positive	positive	ADJ
cana-3244	17	13	or	or	CCONJ
cana-3244	17	14	negative	negative	ADJ
cana-3244	17	15	polarity	polarity	NOUN
cana-3244	17	16	,	,	PUNCT
cana-3244	17	17	but	but	CCONJ
cana-3244	17	18	it	it	PRON
cana-3244	17	19	may	may	AUX
cana-3244	17	20	miss	miss	VERB
cana-3244	17	21	nuanced	nuanced	ADJ
cana-3244	17	22	expressions	expression	NOUN
cana-3244	17	23	and	and	CCONJ
cana-3244	17	24	multiple	multiple	ADJ
cana-3244	17	25	opinions	opinion	NOUN
cana-3244	17	26	[	[	X
cana-3244	17	27	1	1	NUM
cana-3244	17	28	-	-	SYM
cana-3244	17	29	2	2	NUM
cana-3244	17	30	]	]	PUNCT
cana-3244	17	31	.	.	PUNCT
cana-3244	18	1	to	to	PART
cana-3244	18	2	address	address	VERB
cana-3244	18	3	this	this	DET
cana-3244	18	4	limitation	limitation	NOUN
cana-3244	18	5	,	,	PUNCT
cana-3244	18	6	sentence	sentence	NOUN
cana-3244	18	7	-	-	PUNCT
cana-3244	18	8	level	level	NOUN
cana-3244	18	9	sentiment	sentiment	NOUN
cana-3244	18	10	analysis	analysis	NOUN
cana-3244	18	11	examines	examine	VERB
cana-3244	18	12	individual	individual	ADJ
cana-3244	18	13	sentences	sentence	NOUN
cana-3244	18	14	while	while	SCONJ
cana-3244	18	15	considering	consider	VERB
cana-3244	18	16	all	all	DET
cana-3244	18	17	involved	involved	ADJ
cana-3244	18	18	entities	entity	NOUN
cana-3244	18	19	.	.	PUNCT
cana-3244	19	1	before	before	ADP
cana-3244	19	2	performing	perform	VERB
cana-3244	19	3	this	this	DET
cana-3244	19	4	analysis	analysis	NOUN
cana-3244	19	5	,	,	PUNCT
cana-3244	19	6	it	it	PRON
cana-3244	19	7	distinguishes	distinguish	VERB
cana-3244	19	8	between	between	ADP
cana-3244	19	9	objective	objective	ADJ
cana-3244	19	10	and	and	CCONJ
cana-3244	19	11	subjective	subjective	ADJ
cana-3244	19	12	sentences	sentence	NOUN
cana-3244	19	13	[	[	X
cana-3244	19	14	3	3	NUM
cana-3244	19	15	]	]	PUNCT
cana-3244	19	16	.	.	PUNCT
cana-3244	20	1	though	though	SCONJ
cana-3244	20	2	general	general	ADJ
cana-3244	20	3	polarity	polarity	NOUN
cana-3244	20	4	detection	detection	NOUN
cana-3244	20	5	is	be	AUX
cana-3244	20	6	useful	useful	ADJ
cana-3244	20	7	,	,	PUNCT
cana-3244	20	8	it	it	PRON
cana-3244	20	9	can	can	AUX
cana-3244	20	10	overlook	overlook	VERB
cana-3244	20	11	detailed	detailed	ADJ
cana-3244	20	12	sentiments	sentiment	NOUN
cana-3244	20	13	,	,	PUNCT
cana-3244	20	14	resulting	result	VERB
cana-3244	20	15	in	in	ADP
cana-3244	20	16	incomplete	incomplete	ADJ
cana-3244	20	17	analysis	analysis	NOUN
cana-3244	20	18	.	.	PUNCT
cana-3244	21	1	sentiments	sentiment	NOUN
cana-3244	21	2	tied	tie	VERB
cana-3244	21	3	to	to	ADP
cana-3244	21	4	specific	specific	ADJ
cana-3244	21	5	aspects	aspect	NOUN
cana-3244	21	6	—	—	PUNCT
cana-3244	21	7	such	such	ADJ
cana-3244	21	8	as	as	ADP
cana-3244	21	9	product	product	NOUN
cana-3244	21	10	price	price	NOUN
cana-3244	21	11	,	,	PUNCT
cana-3244	21	12	quality	quality	NOUN
cana-3244	21	13	,	,	PUNCT
cana-3244	21	14	or	or	CCONJ
cana-3244	21	15	features	feature	NOUN
cana-3244	21	16	—	—	PUNCT
cana-3244	21	17	are	be	AUX
cana-3244	21	18	identified	identify	VERB
cana-3244	21	19	through	through	ADP
cana-3244	21	20	aspect	aspect	NOUN
cana-3244	21	21	-	-	PUNCT
cana-3244	21	22	based	base	VERB
cana-3244	21	23	sentiment	sentiment	NOUN
cana-3244	21	24	analysis	analysis	NOUN
cana-3244	21	25	(	(	PUNCT
cana-3244	21	26	absa	absa	X
cana-3244	21	27	)	)	PUNCT
cana-3244	22	1	[	[	X
cana-3244	22	2	4	4	NUM
cana-3244	22	3	]	]	PUNCT
cana-3244	22	4	.	.	PUNCT
cana-3244	23	1	some	some	DET
cana-3244	23	2	sentences	sentence	NOUN
cana-3244	23	3	may	may	AUX
cana-3244	23	4	contain	contain	VERB
cana-3244	23	5	multiple	multiple	ADJ
cana-3244	23	6	positive	positive	ADJ
cana-3244	23	7	or	or	CCONJ
cana-3244	23	8	negative	negative	ADJ
cana-3244	23	9	opinions	opinion	NOUN
cana-3244	23	10	,	,	PUNCT
cana-3244	23	11	but	but	CCONJ
cana-3244	23	12	standard	standard	ADJ
cana-3244	23	13	models	model	NOUN
cana-3244	23	14	fail	fail	VERB
cana-3244	23	15	to	to	PART
cana-3244	23	16	capture	capture	VERB
cana-3244	23	17	this	this	DET
cana-3244	23	18	complexity	complexity	NOUN
cana-3244	23	19	.	.	PUNCT
cana-3244	24	1	absa	absa	NOUN
cana-3244	24	2	extracts	extract	VERB
cana-3244	24	3	explicit	explicit	ADJ
cana-3244	24	4	aspects	aspect	NOUN
cana-3244	24	5	directly	directly	ADV
cana-3244	24	6	from	from	ADP
cana-3244	24	7	text	text	NOUN
cana-3244	24	8	and	and	CCONJ
cana-3244	24	9	implicit	implicit	ADJ
cana-3244	24	10	aspects	aspect	NOUN
cana-3244	24	11	through	through	ADP
cana-3244	24	12	advanced	advanced	ADJ
cana-3244	24	13	linguistic	linguistic	ADJ
cana-3244	24	14	methods	method	NOUN
cana-3244	24	15	.	.	PUNCT
cana-3244	25	1	tools	tool	NOUN
cana-3244	25	2	such	such	ADJ
cana-3244	25	3	as	as	ADP
cana-3244	25	4	pos	pos	NOUN
cana-3244	25	5	tagging	tagging	NOUN
cana-3244	25	6	and	and	CCONJ
cana-3244	25	7	dependency	dependency	NOUN
cana-3244	25	8	parsing	parsing	NOUN
cana-3244	25	9	facilitate	facilitate	NOUN
cana-3244	25	10	this	this	DET
cana-3244	25	11	process	process	NOUN
cana-3244	25	12	,	,	PUNCT
cana-3244	25	13	although	although	SCONJ
cana-3244	25	14	results	result	NOUN
cana-3244	25	15	vary	vary	VERB
cana-3244	25	16	when	when	SCONJ
cana-3244	25	17	handling	handle	VERB
cana-3244	25	18	uncommon	uncommon	ADJ
cana-3244	25	19	words	word	NOUN
cana-3244	25	20	or	or	CCONJ
cana-3244	25	21	context	context	NOUN
cana-3244	25	22	-	-	PUNCT
cana-3244	25	23	based	base	VERB
cana-3244	25	24	sentiments	sentiment	NOUN
cana-3244	25	25	.	.	PUNCT
cana-3244	26	1	mailto:shobabindhu.cse@jntua.ac.in	mailto:shobabindhu.cse@jntua.ac.in	PROPN
cana-3244	26	2	communications	communication	NOUN
cana-3244	26	3	on	on	ADP
cana-3244	26	4	applied	apply	VERB
cana-3244	26	5	nonlinear	nonlinear	ADJ
cana-3244	26	6	analysis	analysis	NOUN
cana-3244	26	7	issn	issn	NOUN
cana-3244	26	8	:	:	PUNCT
cana-3244	26	9	1074	1074	NUM
cana-3244	26	10	-	-	PUNCT
cana-3244	26	11	133x	133x	NUM
cana-3244	26	12	vol	vol	NOUN
cana-3244	26	13	32	32	NUM
cana-3244	26	14	no	no	NOUN
cana-3244	26	15	.	.	PUNCT
cana-3244	27	1	6s	6s	NUM
cana-3244	27	2	(	(	PUNCT
cana-3244	27	3	2025	2025	NUM
cana-3244	27	4	)	)	PUNCT
cana-3244	27	5	55	55	NUM
cana-3244	27	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	27	7	various	various	ADJ
cana-3244	27	8	hybrid	hybrid	ADJ
cana-3244	27	9	approaches	approach	NOUN
cana-3244	27	10	have	have	AUX
cana-3244	27	11	been	be	AUX
cana-3244	27	12	explored	explore	VERB
cana-3244	27	13	to	to	PART
cana-3244	27	14	enhance	enhance	VERB
cana-3244	27	15	absa	absa	PROPN
cana-3244	27	16	.	.	PUNCT
cana-3244	28	1	kim	kim	PROPN
cana-3244	28	2	&	&	CCONJ
cana-3244	28	3	park	park	PROPN
cana-3244	28	4	introduced	introduce	VERB
cana-3244	28	5	a	a	DET
cana-3244	28	6	framework	framework	NOUN
cana-3244	28	7	combining	combine	VERB
cana-3244	28	8	machine	machine	NOUN
cana-3244	28	9	learning	learn	VERB
cana-3244	28	10	with	with	ADP
cana-3244	28	11	lexicons	lexicon	NOUN
cana-3244	28	12	[	[	X
cana-3244	28	13	5	5	NUM
cana-3244	28	14	]	]	PUNCT
cana-3244	28	15	.	.	PUNCT
cana-3244	29	1	in	in	ADP
cana-3244	29	2	another	another	DET
cana-3244	29	3	study	study	NOUN
cana-3244	29	4	,	,	PUNCT
cana-3244	29	5	wu	wu	PROPN
cana-3244	29	6	et	et	PROPN
cana-3244	29	7	al	al	PROPN
cana-3244	29	8	.	.	PROPN
cana-3244	29	9	developed	develop	VERB
cana-3244	29	10	a	a	DET
cana-3244	29	11	hybrid	hybrid	ADJ
cana-3244	29	12	method	method	NOUN
cana-3244	29	13	integrating	integrate	VERB
cana-3244	29	14	rule	rule	NOUN
cana-3244	29	15	-	-	PUNCT
cana-3244	29	16	based	base	VERB
cana-3244	29	17	and	and	CCONJ
cana-3244	29	18	statistical	statistical	ADJ
cana-3244	29	19	strategies	strategy	NOUN
cana-3244	29	20	[	[	X
cana-3244	29	21	6	6	NUM
cana-3244	29	22	]	]	PUNCT
cana-3244	29	23	.	.	PUNCT
cana-3244	30	1	other	other	ADJ
cana-3244	30	2	researchers	researcher	NOUN
cana-3244	30	3	,	,	PUNCT
cana-3244	30	4	including	include	VERB
cana-3244	30	5	yan	yan	PROPN
cana-3244	30	6	et	et	PROPN
cana-3244	30	7	al	al	PROPN
cana-3244	30	8	.	.	PROPN
cana-3244	30	9	,	,	PUNCT
cana-3244	30	10	applied	apply	VERB
cana-3244	30	11	node	node	NOUN
cana-3244	30	12	-	-	PUNCT
cana-3244	30	13	ranking	rank	VERB
cana-3244	30	14	techniques	technique	NOUN
cana-3244	30	15	to	to	PART
cana-3244	30	16	extract	extract	VERB
cana-3244	30	17	both	both	DET
cana-3244	30	18	implicit	implicit	ADJ
cana-3244	30	19	and	and	CCONJ
cana-3244	30	20	explicit	explicit	ADJ
cana-3244	30	21	aspects	aspect	NOUN
cana-3244	30	22	[	[	X
cana-3244	30	23	7	7	NUM
cana-3244	30	24	]	]	PUNCT
cana-3244	30	25	.	.	PUNCT
cana-3244	31	1	some	some	DET
cana-3244	31	2	studies	study	NOUN
cana-3244	31	3	employed	employ	VERB
cana-3244	31	4	point	point	NOUN
cana-3244	31	5	-	-	PUNCT
cana-3244	31	6	wise	wise	ADJ
cana-3244	31	7	mutual	mutual	ADJ
cana-3244	31	8	information	information	NOUN
cana-3244	31	9	to	to	PART
cana-3244	31	10	detect	detect	VERB
cana-3244	31	11	implicit	implicit	ADJ
cana-3244	31	12	aspects	aspect	NOUN
cana-3244	31	13	but	but	CCONJ
cana-3244	31	14	only	only	ADV
cana-3244	31	15	managed	manage	VERB
cana-3244	31	16	to	to	PART
cana-3244	31	17	obtain	obtain	VERB
cana-3244	31	18	explicit	explicit	ADJ
cana-3244	31	19	features	feature	NOUN
cana-3244	31	20	without	without	ADP
cana-3244	31	21	context	context	NOUN
cana-3244	31	22	[	[	X
cana-3244	31	23	8	8	NUM
cana-3244	31	24	-	-	SYM
cana-3244	31	25	10	10	NUM
cana-3244	31	26	]	]	PUNCT
cana-3244	31	27	.	.	PUNCT
cana-3244	32	1	the	the	DET
cana-3244	32	2	paper	paper	NOUN
cana-3244	32	3	is	be	AUX
cana-3244	32	4	structured	structure	VERB
cana-3244	32	5	as	as	SCONJ
cana-3244	32	6	follows	follow	VERB
cana-3244	32	7	:	:	PUNCT
cana-3244	32	8	section	section	NOUN
cana-3244	32	9	2	2	NUM
cana-3244	32	10	reviews	review	NOUN
cana-3244	32	11	related	relate	VERB
cana-3244	32	12	work	work	NOUN
cana-3244	32	13	on	on	ADP
cana-3244	32	14	sentiment	sentiment	NOUN
cana-3244	32	15	analysis	analysis	NOUN
cana-3244	32	16	specific	specific	ADJ
cana-3244	32	17	to	to	ADP
cana-3244	32	18	twitter	twitter	PROPN
cana-3244	32	19	data	data	PROPN
cana-3244	32	20	.	.	PUNCT
cana-3244	33	1	section	section	NOUN
cana-3244	33	2	3	3	NUM
cana-3244	33	3	outlines	outline	VERB
cana-3244	33	4	the	the	DET
cana-3244	33	5	proposed	propose	VERB
cana-3244	33	6	framework	framework	NOUN
cana-3244	33	7	,	,	PUNCT
cana-3244	33	8	while	while	SCONJ
cana-3244	33	9	section	section	NOUN
cana-3244	33	10	4	4	NUM
cana-3244	33	11	presents	present	VERB
cana-3244	33	12	experimental	experimental	ADJ
cana-3244	33	13	comparisons	comparison	NOUN
cana-3244	33	14	with	with	ADP
cana-3244	33	15	existing	exist	VERB
cana-3244	33	16	models	model	NOUN
cana-3244	33	17	.	.	PUNCT
cana-3244	34	1	section	section	NOUN
cana-3244	34	2	5	5	NUM
cana-3244	34	3	concludes	conclude	VERB
cana-3244	34	4	with	with	ADP
cana-3244	34	5	insights	insight	NOUN
cana-3244	34	6	from	from	ADP
cana-3244	34	7	the	the	DET
cana-3244	34	8	research	research	NOUN
cana-3244	34	9	.	.	PUNCT
cana-3244	35	1	2	2	X
cana-3244	35	2	.	.	X
cana-3244	35	3	literature	literature	NOUN
cana-3244	35	4	survey	survey	NOUN
cana-3244	35	5	researchers	researcher	NOUN
cana-3244	35	6	explored	explore	VERB
cana-3244	35	7	various	various	ADJ
cana-3244	35	8	strategies	strategy	NOUN
cana-3244	35	9	for	for	ADP
cana-3244	35	10	text	text	NOUN
cana-3244	35	11	classification	classification	NOUN
cana-3244	35	12	in	in	ADP
cana-3244	35	13	aspect	aspect	NOUN
cana-3244	35	14	-	-	PUNCT
cana-3244	35	15	based	base	VERB
cana-3244	35	16	sentiment	sentiment	NOUN
cana-3244	35	17	analysis	analysis	NOUN
cana-3244	35	18	(	(	PUNCT
cana-3244	35	19	absa	absa	NOUN
cana-3244	35	20	)	)	PUNCT
cana-3244	35	21	.	.	PUNCT
cana-3244	36	1	these	these	DET
cana-3244	36	2	strategies	strategy	NOUN
cana-3244	36	3	fall	fall	VERB
cana-3244	36	4	into	into	ADP
cana-3244	36	5	three	three	NUM
cana-3244	36	6	primary	primary	ADJ
cana-3244	36	7	categories	category	NOUN
cana-3244	36	8	:	:	PUNCT
cana-3244	36	9	lexicon	lexicon	NOUN
cana-3244	36	10	-	-	PUNCT
cana-3244	36	11	based	base	VERB
cana-3244	36	12	,	,	PUNCT
cana-3244	36	13	machine	machine	NOUN
cana-3244	36	14	learning	learning	NOUN
cana-3244	36	15	,	,	PUNCT
cana-3244	36	16	and	and	CCONJ
cana-3244	36	17	hybrid	hybrid	ADJ
cana-3244	36	18	approaches	approach	NOUN
cana-3244	36	19	.	.	PUNCT
cana-3244	37	1	different	different	ADJ
cana-3244	37	2	challenges	challenge	NOUN
cana-3244	37	3	in	in	ADP
cana-3244	37	4	processing	processing	NOUN
cana-3244	37	5	opinions	opinion	NOUN
cana-3244	37	6	within	within	ADP
cana-3244	37	7	text	text	NOUN
cana-3244	37	8	are	be	AUX
cana-3244	37	9	addressed	address	VERB
cana-3244	37	10	by	by	ADP
cana-3244	37	11	each	each	PRON
cana-3244	37	12	of	of	ADP
cana-3244	37	13	these	these	DET
cana-3244	37	14	strategies	strategy	NOUN
cana-3244	37	15	.	.	PUNCT
cana-3244	38	1	2.1	2.1	NUM
cana-3244	38	2	lexicon	lexicon	NOUN
cana-3244	38	3	based	base	VERB
cana-3244	38	4	approaches	approach	NOUN
cana-3244	38	5	without	without	ADP
cana-3244	38	6	needing	need	VERB
cana-3244	38	7	a	a	DET
cana-3244	38	8	training	training	NOUN
cana-3244	38	9	dataset	dataset	NOUN
cana-3244	38	10	,	,	PUNCT
cana-3244	38	11	lexicon	lexicon	NOUN
cana-3244	38	12	-	-	PUNCT
cana-3244	38	13	based	base	VERB
cana-3244	38	14	methods	method	NOUN
cana-3244	38	15	assign	assign	VERB
cana-3244	38	16	sentiment	sentiment	NOUN
cana-3244	38	17	scores	score	NOUN
cana-3244	38	18	to	to	ADP
cana-3244	38	19	words	word	NOUN
cana-3244	38	20	or	or	CCONJ
cana-3244	38	21	phrases	phrase	NOUN
cana-3244	38	22	.	.	PUNCT
cana-3244	39	1	typically	typically	ADV
cana-3244	39	2	,	,	PUNCT
cana-3244	39	3	these	these	DET
cana-3244	39	4	scores	score	NOUN
cana-3244	39	5	range	range	VERB
cana-3244	39	6	from	from	ADP
cana-3244	39	7	-1	-1	PUNCT
cana-3244	39	8	to	to	ADP
cana-3244	39	9	1	1	NUM
cana-3244	39	10	,	,	PUNCT
cana-3244	39	11	reflecting	reflect	VERB
cana-3244	39	12	negative	negative	ADJ
cana-3244	39	13	to	to	ADP
cana-3244	39	14	positive	positive	ADJ
cana-3244	39	15	sentiments	sentiment	NOUN
cana-3244	39	16	.	.	PUNCT
cana-3244	40	1	a	a	DET
cana-3244	40	2	study	study	NOUN
cana-3244	40	3	by	by	ADP
cana-3244	40	4	abadeh	abadeh	ADJ
cana-3244	40	5	,	,	PUNCT
cana-3244	40	6	mowlaei	mowlaei	ADJ
cana-3244	40	7	,	,	PUNCT
cana-3244	40	8	and	and	CCONJ
cana-3244	40	9	keshavarz	keshavarz	PROPN
cana-3244	41	1	[	[	X
cana-3244	41	2	11	11	NUM
cana-3244	41	3	]	]	PUNCT
cana-3244	41	4	showed	show	VERB
cana-3244	41	5	that	that	SCONJ
cana-3244	41	6	performance	performance	NOUN
cana-3244	41	7	drops	drop	NOUN
cana-3244	41	8	when	when	SCONJ
cana-3244	41	9	models	model	NOUN
cana-3244	41	10	struggle	struggle	VERB
cana-3244	41	11	with	with	ADP
cana-3244	41	12	unfamiliar	unfamiliar	ADJ
cana-3244	41	13	lexicons	lexicon	NOUN
cana-3244	41	14	.	.	PUNCT
cana-3244	42	1	to	to	PART
cana-3244	42	2	resolve	resolve	VERB
cana-3244	42	3	this	this	DET
cana-3244	42	4	issue	issue	NOUN
cana-3244	42	5	,	,	PUNCT
cana-3244	42	6	the	the	DET
cana-3244	42	7	study	study	NOUN
cana-3244	42	8	proposed	propose	VERB
cana-3244	42	9	two	two	NUM
cana-3244	42	10	-	-	PUNCT
cana-3244	42	11	generation	generation	NOUN
cana-3244	42	12	procedures	procedure	NOUN
cana-3244	42	13	to	to	PART
cana-3244	42	14	enhance	enhance	VERB
cana-3244	42	15	sentiment	sentiment	NOUN
cana-3244	42	16	extraction	extraction	NOUN
cana-3244	42	17	.	.	PUNCT
cana-3244	43	1	however	however	ADV
cana-3244	43	2	,	,	PUNCT
cana-3244	43	3	context	context	NOUN
cana-3244	43	4	-	-	PUNCT
cana-3244	43	5	based	base	VERB
cana-3244	43	6	opinions	opinion	NOUN
cana-3244	43	7	and	and	CCONJ
cana-3244	43	8	a	a	DET
cana-3244	43	9	growing	grow	VERB
cana-3244	43	10	number	number	NOUN
cana-3244	43	11	of	of	ADP
cana-3244	43	12	terms	term	NOUN
cana-3244	43	13	still	still	ADV
cana-3244	43	14	posed	pose	VERB
cana-3244	43	15	challenges	challenge	NOUN
cana-3244	43	16	for	for	ADP
cana-3244	43	17	these	these	DET
cana-3244	43	18	methods	method	NOUN
cana-3244	43	19	.	.	PUNCT
cana-3244	44	1	2.2	2.2	NUM
cana-3244	44	2	machine	machine	NOUN
cana-3244	44	3	learning	learning	NOUN
cana-3244	44	4	approaches	approach	VERB
cana-3244	44	5	unsupervised	unsupervised	ADJ
cana-3244	44	6	techniques	technique	NOUN
cana-3244	44	7	analyze	analyze	VERB
cana-3244	44	8	sentiments	sentiment	NOUN
cana-3244	44	9	using	use	VERB
cana-3244	44	10	unlabeled	unlabeled	ADJ
cana-3244	44	11	data	datum	NOUN
cana-3244	44	12	,	,	PUNCT
cana-3244	44	13	but	but	CCONJ
cana-3244	44	14	the	the	DET
cana-3244	44	15	results	result	NOUN
cana-3244	44	16	have	have	AUX
cana-3244	44	17	often	often	ADV
cana-3244	44	18	been	be	AUX
cana-3244	44	19	inconsistent	inconsistent	ADJ
cana-3244	44	20	[	[	X
cana-3244	44	21	12	12	NUM
cana-3244	44	22	]	]	PUNCT
cana-3244	44	23	.	.	PUNCT
cana-3244	45	1	alternatively	alternatively	ADV
cana-3244	45	2	,	,	PUNCT
cana-3244	45	3	supervised	supervised	ADJ
cana-3244	45	4	learning	learning	NOUN
cana-3244	45	5	employs	employ	VERB
cana-3244	45	6	labeled	label	VERB
cana-3244	45	7	datasets	dataset	NOUN
cana-3244	45	8	to	to	PART
cana-3244	45	9	train	train	VERB
cana-3244	45	10	algorithms	algorithm	NOUN
cana-3244	45	11	such	such	ADJ
cana-3244	45	12	as	as	ADP
cana-3244	45	13	naive	naive	ADJ
cana-3244	45	14	bayes	bayes	NOUN
cana-3244	45	15	(	(	PUNCT
cana-3244	45	16	nb	nb	PROPN
cana-3244	45	17	)	)	PUNCT
cana-3244	45	18	,	,	PUNCT
cana-3244	45	19	maximum	maximum	PROPN
cana-3244	45	20	entropy	entropy	X
cana-3244	45	21	(	(	PUNCT
cana-3244	45	22	me	i	PRON
cana-3244	45	23	)	)	PUNCT
cana-3244	45	24	,	,	PUNCT
cana-3244	45	25	and	and	CCONJ
cana-3244	45	26	support	support	VERB
cana-3244	45	27	vector	vector	NOUN
cana-3244	45	28	machine	machine	NOUN
cana-3244	45	29	(	(	PUNCT
cana-3244	45	30	svm	svm	PROPN
cana-3244	45	31	)	)	PUNCT
cana-3244	45	32	.	.	PUNCT
cana-3244	46	1	information	information	NOUN
cana-3244	46	2	gain	gain	NOUN
cana-3244	46	3	and	and	CCONJ
cana-3244	46	4	chi	chi	ADJ
cana-3244	46	5	-	-	PUNCT
cana-3244	46	6	square	square	NOUN
cana-3244	46	7	techniques	technique	NOUN
cana-3244	46	8	refine	refine	VERB
cana-3244	46	9	accuracy	accuracy	NOUN
cana-3244	46	10	by	by	ADP
cana-3244	46	11	identifying	identify	VERB
cana-3244	46	12	relevant	relevant	ADJ
cana-3244	46	13	features	feature	NOUN
cana-3244	46	14	.	.	PUNCT
cana-3244	47	1	in	in	ADP
cana-3244	47	2	another	another	DET
cana-3244	47	3	study	study	NOUN
cana-3244	47	4	,	,	PUNCT
cana-3244	47	5	a	a	DET
cana-3244	47	6	feedback	feedback	NOUN
cana-3244	47	7	framework	framework	NOUN
cana-3244	47	8	helped	helped	AUX
cana-3244	47	9	improve	improve	VERB
cana-3244	47	10	the	the	DET
cana-3244	47	11	precision	precision	NOUN
cana-3244	47	12	of	of	ADP
cana-3244	47	13	text	text	NOUN
cana-3244	47	14	classification	classification	NOUN
cana-3244	47	15	by	by	ADP
cana-3244	47	16	focusing	focus	VERB
cana-3244	47	17	on	on	ADP
cana-3244	47	18	multiple	multiple	ADJ
cana-3244	47	19	aspects	aspect	NOUN
cana-3244	47	20	[	[	X
cana-3244	47	21	13	13	NUM
cana-3244	47	22	]	]	PUNCT
cana-3244	47	23	.	.	PUNCT
cana-3244	48	1	despite	despite	SCONJ
cana-3244	48	2	these	these	DET
cana-3244	48	3	efforts	effort	NOUN
cana-3244	48	4	,	,	PUNCT
cana-3244	48	5	svm	svm	NOUN
cana-3244	48	6	suffers	suffer	VERB
cana-3244	48	7	from	from	ADP
cana-3244	48	8	higher	high	ADJ
cana-3244	48	9	time	time	NOUN
cana-3244	48	10	complexity	complexity	NOUN
cana-3244	48	11	,	,	PUNCT
cana-3244	48	12	making	make	VERB
cana-3244	48	13	it	it	PRON
cana-3244	48	14	less	less	ADV
cana-3244	48	15	efficient	efficient	ADJ
cana-3244	48	16	than	than	ADP
cana-3244	48	17	nb	nb	ADV
cana-3244	48	18	or	or	CCONJ
cana-3244	48	19	me	i	PRON
cana-3244	48	20	.	.	PUNCT
cana-3244	49	1	2.3	2.3	NUM
cana-3244	49	2	artificial	artificial	ADJ
cana-3244	49	3	neural	neural	ADJ
cana-3244	49	4	network	network	NOUN
cana-3244	49	5	in	in	ADP
cana-3244	49	6	sentiment	sentiment	NOUN
cana-3244	49	7	analysis	analysis	NOUN
cana-3244	49	8	,	,	PUNCT
cana-3244	49	9	artificial	artificial	ADJ
cana-3244	49	10	neural	neural	ADJ
cana-3244	49	11	networks	network	NOUN
cana-3244	49	12	(	(	PUNCT
cana-3244	49	13	anns	anns	PROPN
cana-3244	49	14	)	)	PUNCT
cana-3244	49	15	have	have	AUX
cana-3244	49	16	been	be	AUX
cana-3244	49	17	widely	widely	ADV
cana-3244	49	18	applied	apply	VERB
cana-3244	49	19	.	.	PUNCT
cana-3244	50	1	a	a	DET
cana-3244	50	2	dynamic	dynamic	ADJ
cana-3244	50	3	convolutional	convolutional	ADJ
cana-3244	50	4	neural	neural	ADJ
cana-3244	50	5	network	network	NOUN
cana-3244	50	6	(	(	PUNCT
cana-3244	50	7	cnn	cnn	PROPN
cana-3244	50	8	)	)	PUNCT
cana-3244	50	9	model	model	NOUN
cana-3244	50	10	introduced	introduce	VERB
cana-3244	50	11	in	in	ADP
cana-3244	50	12	2014	2014	NUM
cana-3244	50	13	demonstrated	demonstrate	VERB
cana-3244	50	14	potential	potential	NOUN
cana-3244	50	15	for	for	ADP
cana-3244	50	16	capturing	capture	VERB
cana-3244	50	17	complex	complex	ADJ
cana-3244	50	18	sentiments	sentiment	NOUN
cana-3244	50	19	[	[	X
cana-3244	50	20	14	14	NUM
cana-3244	50	21	]	]	PUNCT
cana-3244	50	22	.	.	PUNCT
cana-3244	51	1	further	further	ADJ
cana-3244	51	2	research	research	NOUN
cana-3244	51	3	compared	compare	VERB
cana-3244	51	4	additional	additional	ADJ
cana-3244	51	5	cnn	cnn	PROPN
cana-3244	51	6	models	model	NOUN
cana-3244	51	7	,	,	PUNCT
cana-3244	51	8	which	which	PRON
cana-3244	51	9	performed	perform	VERB
cana-3244	51	10	competitively	competitively	ADV
cana-3244	51	11	against	against	ADP
cana-3244	51	12	the	the	DET
cana-3244	51	13	original	original	ADJ
cana-3244	51	14	dynamic	dynamic	ADJ
cana-3244	51	15	cnn	cnn	NOUN
cana-3244	52	1	[	[	X
cana-3244	52	2	15	15	NUM
cana-3244	52	3	]	]	PUNCT
cana-3244	52	4	.	.	PUNCT
cana-3244	53	1	studies	study	NOUN
cana-3244	53	2	explored	explore	VERB
cana-3244	53	3	architectures	architecture	NOUN
cana-3244	53	4	like	like	ADP
cana-3244	53	5	lstm	lstm	NOUN
cana-3244	53	6	and	and	CCONJ
cana-3244	53	7	deeper	deep	ADJ
cana-3244	53	8	cnns	cnn	NOUN
cana-3244	53	9	,	,	PUNCT
cana-3244	53	10	discovering	discover	VERB
cana-3244	53	11	that	that	SCONJ
cana-3244	53	12	multiple	multiple	ADJ
cana-3244	53	13	aspects	aspect	NOUN
cana-3244	53	14	of	of	ADP
cana-3244	53	15	sentiment	sentiment	NOUN
cana-3244	53	16	can	can	AUX
cana-3244	53	17	be	be	AUX
cana-3244	53	18	identified	identify	VERB
cana-3244	53	19	more	more	ADV
cana-3244	53	20	accurately	accurately	ADV
cana-3244	53	21	[	[	X
cana-3244	53	22	16	16	NUM
cana-3244	53	23	]	]	PUNCT
cana-3244	53	24	.	.	PUNCT
cana-3244	54	1	a	a	DET
cana-3244	54	2	neural	neural	ADJ
cana-3244	54	3	network	network	NOUN
cana-3244	54	4	model	model	NOUN
cana-3244	54	5	was	be	AUX
cana-3244	54	6	later	later	ADV
cana-3244	54	7	proposed	propose	VERB
cana-3244	54	8	to	to	PART
cana-3244	54	9	handle	handle	VERB
cana-3244	54	10	noise	noise	NOUN
cana-3244	54	11	in	in	ADP
cana-3244	54	12	sentiment	sentiment	NOUN
cana-3244	54	13	data	datum	NOUN
cana-3244	54	14	,	,	PUNCT
cana-3244	54	15	ensuring	ensure	VERB
cana-3244	54	16	better	well	ADJ
cana-3244	54	17	sentiment	sentiment	NOUN
cana-3244	54	18	classification	classification	NOUN
cana-3244	54	19	[	[	X
cana-3244	54	20	17	17	NUM
cana-3244	54	21	]	]	PUNCT
cana-3244	54	22	.	.	PUNCT
cana-3244	55	1	communications	communication	NOUN
cana-3244	55	2	on	on	ADP
cana-3244	55	3	applied	apply	VERB
cana-3244	55	4	nonlinear	nonlinear	ADJ
cana-3244	55	5	analysis	analysis	NOUN
cana-3244	55	6	issn	issn	NOUN
cana-3244	55	7	:	:	PUNCT
cana-3244	55	8	1074	1074	NUM
cana-3244	55	9	-	-	PUNCT
cana-3244	55	10	133x	133x	NUM
cana-3244	55	11	vol	vol	NOUN
cana-3244	55	12	32	32	NUM
cana-3244	55	13	no	no	NOUN
cana-3244	55	14	.	.	PUNCT
cana-3244	56	1	6s	6s	NUM
cana-3244	56	2	(	(	PUNCT
cana-3244	56	3	2025	2025	NUM
cana-3244	56	4	)	)	PUNCT
cana-3244	56	5	56	56	NUM
cana-3244	56	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3244	56	7	2.4	2.4	NUM
cana-3244	56	8	hybrid	hybrid	NOUN
cana-3244	56	9	approach	approach	NOUN
cana-3244	56	10	for	for	ADP
cana-3244	56	11	sentiment	sentiment	NOUN
cana-3244	56	12	classification	classification	NOUN
cana-3244	56	13	in	in	ADP
cana-3244	56	14	[	[	X
cana-3244	56	15	18	18	NUM
cana-3244	56	16	]	]	PUNCT
cana-3244	56	17	,	,	PUNCT
cana-3244	56	18	the	the	DET
cana-3244	56	19	authors	author	NOUN
cana-3244	56	20	proposed	propose	VERB
cana-3244	56	21	a	a	DET
cana-3244	56	22	hybrid	hybrid	ADJ
cana-3244	56	23	method	method	NOUN
cana-3244	56	24	that	that	PRON
cana-3244	56	25	combines	combine	VERB
cana-3244	56	26	the	the	DET
cana-3244	56	27	attributes	attribute	NOUN
cana-3244	56	28	of	of	ADP
cana-3244	56	29	pos	pos	NOUN
cana-3244	56	30	tags	tag	NOUN
cana-3244	56	31	with	with	ADP
cana-3244	56	32	common	common	ADJ
cana-3244	56	33	-	-	PUNCT
cana-3244	56	34	sense	sense	NOUN
cana-3244	56	35	knowledge	knowledge	NOUN
cana-3244	56	36	to	to	PART
cana-3244	56	37	analyze	analyze	VERB
cana-3244	56	38	the	the	DET
cana-3244	56	39	intelligence	intelligence	NOUN
cana-3244	56	40	of	of	ADP
cana-3244	56	41	customers	customer	NOUN
cana-3244	56	42	.	.	PUNCT
cana-3244	57	1	in	in	ADP
cana-3244	57	2	[	[	X
cana-3244	57	3	19	19	NUM
cana-3244	57	4	]	]	PUNCT
cana-3244	57	5	,	,	PUNCT
cana-3244	57	6	the	the	DET
cana-3244	57	7	authors	author	NOUN
cana-3244	57	8	proposed	propose	VERB
cana-3244	57	9	a	a	DET
cana-3244	57	10	targeted	target	VERB
cana-3244	57	11	-	-	PUNCT
cana-3244	57	12	aspect	aspect	NOUN
cana-3244	57	13	-	-	PUNCT
cana-3244	57	14	based	base	VERB
cana-3244	57	15	method	method	NOUN
cana-3244	57	16	.	.	PUNCT
cana-3244	58	1	in	in	ADP
cana-3244	58	2	[	[	X
cana-3244	58	3	20	20	NUM
cana-3244	58	4	]	]	PUNCT
cana-3244	58	5	,	,	PUNCT
cana-3244	58	6	the	the	DET
cana-3244	58	7	authors	author	NOUN
cana-3244	58	8	proposed	propose	VERB
cana-3244	58	9	a	a	DET
cana-3244	58	10	hybrid	hybrid	ADJ
cana-3244	58	11	lstm	lstm	NOUN
cana-3244	58	12	framework	framework	NOUN
cana-3244	58	13	that	that	PRON
cana-3244	58	14	combines	combine	VERB
cana-3244	58	15	the	the	DET
cana-3244	58	16	features	feature	NOUN
cana-3244	58	17	of	of	ADP
cana-3244	58	18	the	the	DET
cana-3244	58	19	sentic	sentic	ADJ
cana-3244	58	20	lstm	lstm	NOUN
cana-3244	58	21	and	and	CCONJ
cana-3244	58	22	the	the	DET
cana-3244	58	23	recurrent	recurrent	ADJ
cana-3244	58	24	addictive	addictive	ADJ
cana-3244	58	25	network	network	NOUN
cana-3244	58	26	.	.	PUNCT
cana-3244	59	1	they	they	PRON
cana-3244	59	2	were	be	AUX
cana-3244	59	3	able	able	ADJ
cana-3244	59	4	to	to	PART
cana-3244	59	5	extract	extract	VERB
cana-3244	59	6	the	the	DET
cana-3244	59	7	implicit	implicit	ADJ
cana-3244	59	8	features	feature	NOUN
cana-3244	59	9	by	by	ADP
cana-3244	59	10	using	use	VERB
cana-3244	59	11	five	five	NUM
cana-3244	59	12	techniques	technique	NOUN
cana-3244	59	13	.	.	PUNCT
cana-3244	60	1	while	while	SCONJ
cana-3244	60	2	these	these	DET
cana-3244	60	3	methods	method	NOUN
cana-3244	60	4	are	be	AUX
cana-3244	60	5	useful	useful	ADJ
cana-3244	60	6	,	,	PUNCT
cana-3244	60	7	they	they	PRON
cana-3244	60	8	struggle	struggle	VERB
cana-3244	60	9	with	with	ADP
cana-3244	60	10	low	low	ADJ
cana-3244	60	11	-	-	PUNCT
cana-3244	60	12	frequency	frequency	NOUN
cana-3244	60	13	words	word	NOUN
cana-3244	60	14	that	that	PRON
cana-3244	60	15	carry	carry	VERB
cana-3244	60	16	context	context	NOUN
cana-3244	60	17	-	-	PUNCT
cana-3244	60	18	specific	specific	ADJ
cana-3244	60	19	meaning	meaning	NOUN
cana-3244	60	20	[	[	X
cana-3244	60	21	21	21	NUM
cana-3244	60	22	]	]	PUNCT
cana-3244	60	23	.	.	PUNCT
cana-3244	61	1	despite	despite	SCONJ
cana-3244	61	2	progress	progress	NOUN
cana-3244	61	3	in	in	ADP
cana-3244	61	4	absa	absa	PROPN
cana-3244	61	5	,	,	PUNCT
cana-3244	61	6	existing	exist	VERB
cana-3244	61	7	models	model	NOUN
cana-3244	61	8	need	need	VERB
cana-3244	61	9	further	further	ADJ
cana-3244	61	10	development	development	NOUN
cana-3244	61	11	to	to	PART
cana-3244	61	12	classify	classify	VERB
cana-3244	61	13	complex	complex	ADJ
cana-3244	61	14	sentiments	sentiment	NOUN
cana-3244	61	15	reliably	reliably	ADV
cana-3244	61	16	[	[	X
cana-3244	61	17	22	22	NUM
cana-3244	61	18	-	-	SYM
cana-3244	61	19	23	23	NUM
cana-3244	61	20	]	]	PUNCT
cana-3244	61	21	.	.	PUNCT
cana-3244	62	1	this	this	DET
cana-3244	62	2	paper	paper	NOUN
cana-3244	62	3	introduces	introduce	VERB
cana-3244	62	4	a	a	DET
cana-3244	62	5	hybrid	hybrid	ADJ
cana-3244	62	6	framework	framework	NOUN
cana-3244	62	7	integrating	integrate	VERB
cana-3244	62	8	twitterspecific	twitterspecific	ADJ
cana-3244	62	9	features	feature	NOUN
cana-3244	62	10	with	with	ADP
cana-3244	62	11	a	a	DET
cana-3244	62	12	multi	multi	ADJ
cana-3244	62	13	-	-	ADJ
cana-3244	62	14	layer	layer	ADJ
cana-3244	62	15	perceptron	perceptron	NOUN
cana-3244	62	16	(	(	PUNCT
cana-3244	62	17	mlp	mlp	PROPN
cana-3244	62	18	)	)	PUNCT
cana-3244	62	19	model	model	NOUN
cana-3244	62	20	for	for	ADP
cana-3244	62	21	text	text	NOUN
cana-3244	62	22	classification	classification	NOUN
cana-3244	62	23	.	.	PUNCT
cana-3244	63	1	by	by	ADP
cana-3244	63	2	combining	combine	VERB
cana-3244	63	3	machine	machine	NOUN
cana-3244	63	4	learning	learning	NOUN
cana-3244	63	5	and	and	CCONJ
cana-3244	63	6	deep	deep	ADJ
cana-3244	63	7	learning	learning	NOUN
cana-3244	63	8	,	,	PUNCT
cana-3244	63	9	the	the	DET
cana-3244	63	10	framework	framework	NOUN
cana-3244	63	11	performs	perform	VERB
cana-3244	63	12	multi	multi	ADJ
cana-3244	63	13	-	-	ADJ
cana-3244	63	14	level	level	ADJ
cana-3244	63	15	sentiment	sentiment	NOUN
cana-3244	63	16	detection	detection	NOUN
cana-3244	63	17	and	and	CCONJ
cana-3244	63	18	addresses	address	NOUN
cana-3244	63	19	challenges	challenge	NOUN
cana-3244	63	20	in	in	ADP
cana-3244	63	21	analyzing	analyze	VERB
cana-3244	63	22	opinions	opinion	NOUN
cana-3244	63	23	from	from	ADP
cana-3244	63	24	social	social	ADJ
cana-3244	63	25	media	medium	NOUN
cana-3244	63	26	platforms	platform	NOUN
cana-3244	63	27	.	.	PUNCT
cana-3244	64	1	in	in	ADP
cana-3244	64	2	2018	2018	NUM
cana-3244	64	3	,	,	PUNCT
cana-3244	64	4	ibrahim	ibrahim	PROPN
cana-3244	64	5	,	,	PUNCT
cana-3244	64	6	zahiruddin	zahiruddin	NOUN
cana-3244	64	7	,	,	PUNCT
cana-3244	64	8	and	and	CCONJ
cana-3244	64	9	salehmat	salehmat	ADJ
cana-3244	64	10	[	[	X
cana-3244	64	11	24	24	NUM
cana-3244	64	12	]	]	PUNCT
cana-3244	64	13	presented	present	VERB
cana-3244	64	14	a	a	DET
cana-3244	64	15	hybrid	hybrid	ADJ
cana-3244	64	16	method	method	NOUN
cana-3244	64	17	that	that	PRON
cana-3244	64	18	combines	combine	VERB
cana-3244	64	19	the	the	DET
cana-3244	64	20	attributes	attribute	NOUN
cana-3244	64	21	of	of	ADP
cana-3244	64	22	pos	pos	NOUN
cana-3244	64	23	tags	tag	NOUN
cana-3244	64	24	with	with	ADP
cana-3244	64	25	the	the	DET
cana-3244	64	26	pca+svm	pca+svm	ADJ
cana-3244	64	27	framework	framework	NOUN
cana-3244	64	28	.	.	PUNCT
cana-3244	65	1	they	they	PRON
cana-3244	65	2	were	be	AUX
cana-3244	65	3	able	able	ADJ
cana-3244	65	4	to	to	PART
cana-3244	65	5	extract	extract	VERB
cana-3244	65	6	accuracy	accuracy	NOUN
cana-3244	65	7	of	of	ADP
cana-3244	65	8	76.55	76.55	NUM
cana-3244	65	9	%	%	NOUN
cana-3244	65	10	,	,	PUNCT
cana-3244	65	11	71.62	71.62	NUM
cana-3244	65	12	%	%	NOUN
cana-3244	65	13	,	,	PUNCT
cana-3244	65	14	and	and	CCONJ
cana-3244	65	15	74.24	74.24	NUM
cana-3244	65	16	%	%	NOUN
cana-3244	65	17	for	for	ADP
cana-3244	65	18	three	three	NUM
cana-3244	65	19	datasets	dataset	NOUN
cana-3244	65	20	:	:	PUNCT
cana-3244	65	21	the	the	DET
cana-3244	65	22	sts	st	NOUN
cana-3244	65	23	dataset	dataset	NOUN
cana-3244	65	24	,	,	PUNCT
cana-3244	65	25	the	the	DET
cana-3244	65	26	stc	stc	NOUN
cana-3244	65	27	dataset	dataset	VERB
cana-3244	65	28	,	,	PUNCT
cana-3244	65	29	and	and	CCONJ
cana-3244	65	30	the	the	DET
cana-3244	65	31	twitter	twitter	NOUN
cana-3244	65	32	attributes	attribute	VERB
cana-3244	65	33	.	.	PUNCT
cana-3244	66	1	the	the	DET
cana-3244	66	2	main	main	ADJ
cana-3244	66	3	objective	objective	NOUN
cana-3244	66	4	of	of	ADP
cana-3244	66	5	this	this	DET
cana-3244	66	6	research	research	NOUN
cana-3244	66	7	was	be	AUX
cana-3244	66	8	to	to	PART
cana-3244	66	9	develop	develop	VERB
cana-3244	66	10	a	a	DET
cana-3244	66	11	method	method	NOUN
cana-3244	66	12	that	that	PRON
cana-3244	66	13	can	can	AUX
cana-3244	66	14	improve	improve	VERB
cana-3244	66	15	the	the	DET
cana-3244	66	16	performance	performance	NOUN
cana-3244	66	17	of	of	ADP
cana-3244	66	18	the	the	DET
cana-3244	66	19	proposed	propose	VERB
cana-3244	66	20	framework	framework	NOUN
cana-3244	66	21	.	.	PUNCT
cana-3244	67	1	3	3	X
cana-3244	67	2	.	.	NUM
cana-3244	67	3	proposed	propose	VERB
cana-3244	67	4	framework	framework	NOUN
cana-3244	67	5	we	we	PRON
cana-3244	67	6	present	present	VERB
cana-3244	67	7	a	a	DET
cana-3244	67	8	novel	novel	ADJ
cana-3244	67	9	method	method	NOUN
cana-3244	67	10	for	for	ADP
cana-3244	67	11	analyzing	analyze	VERB
cana-3244	67	12	sentiment	sentiment	NOUN
cana-3244	67	13	in	in	ADP
cana-3244	67	14	a	a	DET
cana-3244	67	15	twitter	twitter	NOUN
cana-3244	67	16	dataset	dataset	VERB
cana-3244	67	17	.	.	PUNCT
cana-3244	68	1	it	it	PRON
cana-3244	68	2	takes	take	VERB
cana-3244	68	3	into	into	ADP
cana-3244	68	4	account	account	NOUN
cana-3244	68	5	the	the	DET
cana-3244	68	6	various	various	ADJ
cana-3244	68	7	levels	level	NOUN
cana-3244	68	8	of	of	ADP
cana-3244	68	9	single	single	ADJ
cana-3244	68	10	and	and	CCONJ
cana-3244	68	11	multi	multi	ADJ
cana-3244	68	12	-	-	ADJ
cana-3244	68	13	word	word	ADJ
cana-3244	68	14	sentences	sentence	NOUN
cana-3244	68	15	and	and	CCONJ
cana-3244	68	16	performs	perform	VERB
cana-3244	68	17	text	text	NOUN
cana-3244	68	18	pre	pre	ADJ
cana-3244	68	19	-	-	NOUN
cana-3244	68	20	processing	processing	ADJ
cana-3244	68	21	.	.	PUNCT
cana-3244	69	1	then	then	ADV
cana-3244	69	2	,	,	PUNCT
cana-3244	69	3	it	it	PRON
cana-3244	69	4	discovers	discover	VERB
cana-3244	69	5	the	the	DET
cana-3244	69	6	aspects	aspect	NOUN
cana-3244	69	7	using	use	VERB
cana-3244	69	8	the	the	DET
cana-3244	69	9	arm	arm	NOUN
cana-3244	69	10	method	method	NOUN
cana-3244	69	11	.	.	PUNCT
cana-3244	70	1	the	the	DET
cana-3244	70	2	feature	feature	NOUN
cana-3244	70	3	is	be	AUX
cana-3244	70	4	powered	power	VERB
cana-3244	70	5	by	by	ADP
cana-3244	70	6	the	the	DET
cana-3244	70	7	stanford	stanford	PROPN
cana-3244	70	8	dtt	dtt	PROPN
cana-3244	70	9	approach	approach	NOUN
cana-3244	70	10	and	and	CCONJ
cana-3244	70	11	the	the	DET
cana-3244	70	12	pos	pos	NOUN
cana-3244	70	13	patterns	pattern	NOUN
cana-3244	70	14	.	.	PUNCT
cana-3244	71	1	the	the	DET
cana-3244	71	2	hybrid	hybrid	ADJ
cana-3244	71	3	method	method	NOUN
cana-3244	71	4	for	for	ADP
cana-3244	71	5	sentiment	sentiment	NOUN
cana-3244	71	6	detection	detection	NOUN
cana-3244	71	7	employs	employ	VERB
cana-3244	71	8	a	a	DET
cana-3244	71	9	rule	rule	NOUN
cana-3244	71	10	-	-	PUNCT
cana-3244	71	11	based	base	VERB
cana-3244	71	12	approach	approach	NOUN
cana-3244	71	13	,	,	PUNCT
cana-3244	71	14	which	which	PRON
cana-3244	71	15	is	be	AUX
cana-3244	71	16	followed	follow	VERB
cana-3244	71	17	by	by	ADP
cana-3244	71	18	a	a	DET
cana-3244	71	19	feature	feature	NOUN
cana-3244	71	20	ranking	ranking	NOUN
cana-3244	71	21	process	process	NOUN
cana-3244	71	22	,	,	PUNCT
cana-3244	71	23	and	and	CCONJ
cana-3244	71	24	a	a	DET
cana-3244	71	25	principal	principal	ADJ
cana-3244	71	26	component	component	NOUN
cana-3244	71	27	analysis	analysis	NOUN
cana-3244	71	28	framework	framework	NOUN
cana-3244	71	29	.	.	PUNCT
cana-3244	72	1	it	it	PRON
cana-3244	72	2	then	then	ADV
cana-3244	72	3	produces	produce	VERB
cana-3244	72	4	a	a	DET
cana-3244	72	5	classification	classification	NOUN
cana-3244	72	6	of	of	ADP
cana-3244	72	7	sentiments	sentiment	NOUN
cana-3244	72	8	using	use	VERB
cana-3244	72	9	a	a	DET
cana-3244	72	10	multi	multi	ADJ
cana-3244	72	11	-	-	ADJ
cana-3244	72	12	level	level	ADJ
cana-3244	72	13	approach	approach	NOUN
cana-3244	72	14	.	.	PUNCT
cana-3244	73	1	in	in	ADP
cana-3244	73	2	figure	figure	NOUN
cana-3244	73	3	1	1	NUM
cana-3244	73	4	,	,	PUNCT
cana-3244	73	5	the	the	DET
cana-3244	73	6	framework	framework	NOUN
cana-3244	73	7	shows	show	VERB
cana-3244	73	8	a	a	DET
cana-3244	73	9	detailed	detailed	ADJ
cana-3244	73	10	representation	representation	NOUN
cana-3244	73	11	of	of	ADP
cana-3244	73	12	a	a	DET
cana-3244	73	13	multi	multi	ADJ
cana-3244	73	14	-	-	ADJ
cana-3244	73	15	level	level	ADJ
cana-3244	73	16	approach	approach	NOUN
cana-3244	73	17	for	for	ADP
cana-3244	73	18	sentiment	sentiment	NOUN
cana-3244	73	19	analysis	analysis	NOUN
cana-3244	73	20	in	in	ADP
cana-3244	73	21	twitter	twitter	NOUN
cana-3244	73	22	data	datum	NOUN
cana-3244	73	23	.	.	PUNCT
cana-3244	74	1	3.1	3.1	NUM
cana-3244	74	2	data	datum	NOUN
cana-3244	74	3	gathering	gather	VERB
cana-3244	74	4	this	this	DET
cana-3244	74	5	study	study	NOUN
cana-3244	74	6	used	use	VERB
cana-3244	74	7	a	a	DET
cana-3244	74	8	total	total	NOUN
cana-3244	74	9	of	of	ADP
cana-3244	74	10	three	three	NUM
cana-3244	74	11	datasets	dataset	NOUN
cana-3244	74	12	:	:	PUNCT
cana-3244	74	13	the	the	DET
cana-3244	74	14	stanford	stanford	PROPN
cana-3244	74	15	twitter	twitter	PROPN
cana-3244	74	16	sentiment	sentiment	NOUN
cana-3244	74	17	dataset	dataset	VERB
cana-3244	74	18	,	,	PUNCT
cana-3244	74	19	the	the	DET
cana-3244	74	20	twitter	twitter	NOUN
cana-3244	74	21	airline	airline	NOUN
cana-3244	74	22	sentiment	sentiment	NOUN
cana-3244	74	23	dataset	dataset	VERB
cana-3244	74	24	,	,	PUNCT
cana-3244	74	25	the	the	DET
cana-3244	74	26	sanders	sanders	PROPN
cana-3244	74	27	twitter	twitter	PROPN
cana-3244	74	28	corpus	corpus	PROPN
cana-3244	74	29	dataset	dataset	PROPN
cana-3244	74	30	.	.	PUNCT
cana-3244	75	1	the	the	DET
cana-3244	75	2	sts	sts	ADJ
cana-3244	75	3	dataset	dataset	NOUN
cana-3244	75	4	was	be	AUX
cana-3244	75	5	collected	collect	VERB
cana-3244	75	6	using	use	VERB
cana-3244	75	7	the	the	DET
cana-3244	75	8	knime	knime	ADJ
cana-3244	75	9	tool	tool	NOUN
cana-3244	75	10	,	,	PUNCT
cana-3244	75	11	which	which	PRON
cana-3244	75	12	was	be	AUX
cana-3244	75	13	used	use	VERB
cana-3244	75	14	by	by	ADP
cana-3244	75	15	ibrahim	ibrahim	PROPN
cana-3244	75	16	,	,	PUNCT
cana-3244	75	17	zeinuddin	zeinuddin	VERB
cana-3244	75	18	,	,	PUNCT
cana-3244	75	19	and	and	CCONJ
cana-3244	75	20	selamat	selamat	NOUN
cana-3244	75	21	in	in	ADP
cana-3244	75	22	2018	2018	NUM
cana-3244	76	1	[	[	X
cana-3244	76	2	24	24	NUM
cana-3244	76	3	]	]	PUNCT
cana-3244	76	4	.	.	PUNCT
cana-3244	77	1	it	it	PRON
cana-3244	77	2	is	be	AUX
cana-3244	77	3	having	have	VERB
cana-3244	77	4	seven	seven	NUM
cana-3244	77	5	categories	category	NOUN
cana-3244	77	6	and	and	CCONJ
cana-3244	77	7	contains	contain	VERB
cana-3244	77	8	177	177	NUM
cana-3244	77	9	negative	negative	ADJ
cana-3244	77	10	and	and	CCONJ
cana-3244	77	11	180	180	NUM
cana-3244	77	12	positive	positive	ADJ
cana-3244	77	13	tweets	tweet	NOUN
cana-3244	77	14	.	.	PUNCT
cana-3244	78	1	the	the	DET
cana-3244	78	2	second	second	ADJ
cana-3244	78	3	dataset	dataset	NOUN
cana-3244	78	4	,	,	PUNCT
cana-3244	78	5	which	which	PRON
cana-3244	78	6	is	be	AUX
cana-3244	78	7	called	call	VERB
cana-3244	78	8	tas	ta	NOUN
cana-3244	78	9	,	,	PUNCT
cana-3244	78	10	consists	consist	VERB
cana-3244	78	11	of	of	ADP
cana-3244	78	12	five	five	NUM
cana-3244	78	13	categories	category	NOUN
cana-3244	78	14	and	and	CCONJ
cana-3244	78	15	contains	contain	VERB
cana-3244	78	16	5,741	5,741	NUM
cana-3244	78	17	negative	negative	ADJ
cana-3244	78	18	and	and	CCONJ
cana-3244	78	19	1,832	1,832	NUM
cana-3244	78	20	positive	positive	ADJ
cana-3244	78	21	tweets	tweet	NOUN
cana-3244	78	22	.	.	PUNCT
cana-3244	79	1	the	the	DET
cana-3244	79	2	stc	stc	NOUN
cana-3244	79	3	dataset	dataset	NOUN
cana-3244	79	4	was	be	AUX
cana-3244	79	5	composed	compose	VERB
cana-3244	79	6	of	of	ADP
cana-3244	79	7	various	various	ADJ
cana-3244	79	8	categories	category	NOUN
cana-3244	79	9	such	such	ADJ
cana-3244	79	10	as	as	ADP
cana-3244	79	11	apple	apple	NOUN
cana-3244	79	12	,	,	PUNCT
cana-3244	79	13	google	google	NOUN
cana-3244	79	14	,	,	PUNCT
cana-3244	79	15	and	and	CCONJ
cana-3244	79	16	microsoft	microsoft	PROPN
cana-3244	79	17	.	.	PUNCT
cana-3244	80	1	for	for	ADP
cana-3244	80	2	these	these	DET
cana-3244	80	3	experiments	experiment	NOUN
cana-3244	80	4	,	,	PUNCT
cana-3244	80	5	we	we	PRON
cana-3244	80	6	considered	consider	VERB
cana-3244	80	7	over	over	ADP
cana-3244	80	8	1,091	1,091	NUM
cana-3244	80	9	tweets	tweet	NOUN
cana-3244	80	10	.	.	PUNCT
cana-3244	81	1	table	table	NOUN
cana-3244	81	2	1	1	NUM
cana-3244	81	3	:	:	PUNCT
cana-3244	81	4	twitter	twitter	NOUN
cana-3244	81	5	datasets	dataset	NOUN
cana-3244	81	6	properties	property	NOUN
cana-3244	81	7	sl	sl	VERB
cana-3244	81	8	.	.	PUNCT
cana-3244	82	1	no	no	INTJ
cana-3244	82	2	.	.	PUNCT
cana-3244	83	1	dataset	dataset	VERB
cana-3244	83	2	negative	negative	ADJ
cana-3244	83	3	positive	positive	ADJ
cana-3244	83	4	considered	consider	VERB
cana-3244	83	5	tweets	tweet	NOUN
cana-3244	83	6	1	1	NUM
cana-3244	83	7	stanford	stanford	PROPN
cana-3244	83	8	twitter	twitter	NOUN
cana-3244	83	9	sentiment	sentiment	NOUN
cana-3244	83	10	dataset	dataset	NOUN
cana-3244	83	11	(	(	PUNCT
cana-3244	83	12	sts	st	NOUN
cana-3244	83	13	)	)	PUNCT
cana-3244	83	14	177	177	NUM
cana-3244	83	15	180	180	NUM
cana-3244	83	16	357	357	NUM
cana-3244	83	17	2	2	NUM
cana-3244	83	18	twitter	twitter	NOUN
cana-3244	83	19	airline	airline	NOUN
cana-3244	83	20	sentiment	sentiment	NOUN
cana-3244	83	21	dataset	dataset	NOUN
cana-3244	83	22	(	(	PUNCT
cana-3244	83	23	tas	ta	NOUN
cana-3244	83	24	)	)	PUNCT
cana-3244	83	25	5741	5741	NUM
cana-3244	83	26	1832	1832	NUM
cana-3244	83	27	7573	7573	NUM
cana-3244	83	28	3	3	NUM
cana-3244	83	29	sanders	sanders	PROPN
cana-3244	83	30	twitter	twitter	PROPN
cana-3244	83	31	corpus	corpus	PROPN
cana-3244	83	32	dataset	dataset	PROPN
cana-3244	83	33	(	(	PUNCT
cana-3244	83	34	stc	stc	PROPN
cana-3244	83	35	)	)	PUNCT
cana-3244	83	36	572	572	NUM
cana-3244	83	37	519	519	NUM
cana-3244	83	38	1091	1091	NUM
cana-3244	83	39	communications	communication	NOUN
cana-3244	83	40	on	on	ADP
cana-3244	83	41	applied	apply	VERB
cana-3244	83	42	nonlinear	nonlinear	ADJ
cana-3244	83	43	analysis	analysis	NOUN
cana-3244	83	44	issn	issn	NOUN
cana-3244	83	45	:	:	PUNCT
cana-3244	83	46	1074	1074	NUM
cana-3244	83	47	-	-	PUNCT
cana-3244	83	48	133x	133x	NUM
cana-3244	83	49	vol	vol	NOUN
cana-3244	83	50	32	32	NUM
cana-3244	83	51	no	no	NOUN
cana-3244	83	52	.	.	PUNCT
cana-3244	84	1	6s	6s	NUM
cana-3244	84	2	(	(	PUNCT
cana-3244	84	3	2025	2025	NUM
cana-3244	84	4	)	)	PUNCT
cana-3244	84	5	57	57	NUM
cana-3244	84	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	84	7	figure	figure	NOUN
cana-3244	84	8	1	1	NUM
cana-3244	84	9	:	:	PUNCT
cana-3244	84	10	multi	multi	ADJ
cana-3244	84	11	-	-	ADJ
cana-3244	84	12	level	level	ADJ
cana-3244	84	13	approach	approach	NOUN
cana-3244	84	14	for	for	ADP
cana-3244	84	15	sentiment	sentiment	NOUN
cana-3244	84	16	analysis	analysis	NOUN
cana-3244	84	17	in	in	ADP
cana-3244	84	18	twitter	twitter	NOUN
cana-3244	84	19	data	data	VERB
cana-3244	84	20	3.2	3.2	NUM
cana-3244	84	21	data	datum	NOUN
cana-3244	84	22	transformation	transformation	NOUN
cana-3244	84	23	raw	raw	ADJ
cana-3244	84	24	datasets	dataset	NOUN
cana-3244	84	25	often	often	ADV
cana-3244	84	26	contain	contain	VERB
cana-3244	84	27	unnecessary	unnecessary	ADJ
cana-3244	84	28	elements	element	NOUN
cana-3244	84	29	such	such	ADJ
cana-3244	84	30	as	as	ADP
cana-3244	84	31	usernames	username	NOUN
cana-3244	84	32	,	,	PUNCT
cana-3244	84	33	links	link	NOUN
cana-3244	84	34	,	,	PUNCT
cana-3244	84	35	emoticons	emoticon	NOUN
cana-3244	84	36	,	,	PUNCT
cana-3244	84	37	and	and	CCONJ
cana-3244	84	38	smilies	smilie	NOUN
cana-3244	84	39	.	.	PUNCT
cana-3244	85	1	before	before	ADP
cana-3244	85	2	analysis	analysis	NOUN
cana-3244	85	3	,	,	PUNCT
cana-3244	85	4	these	these	DET
cana-3244	85	5	irrelevant	irrelevant	ADJ
cana-3244	85	6	elements	element	NOUN
cana-3244	85	7	are	be	AUX
cana-3244	85	8	removed	remove	VERB
cana-3244	85	9	to	to	PART
cana-3244	85	10	avoid	avoid	VERB
cana-3244	85	11	disrupting	disrupt	VERB
cana-3244	85	12	the	the	DET
cana-3244	85	13	classification	classification	NOUN
cana-3244	85	14	process	process	NOUN
cana-3244	85	15	.	.	PUNCT
cana-3244	86	1	essential	essential	ADJ
cana-3244	86	2	steps	step	NOUN
cana-3244	86	3	in	in	ADP
cana-3244	86	4	pre	pre	ADJ
cana-3244	86	5	-	-	ADJ
cana-3244	86	6	processing	processing	ADJ
cana-3244	86	7	ensure	ensure	VERB
cana-3244	86	8	smooth	smooth	ADJ
cana-3244	86	9	text	text	NOUN
cana-3244	86	10	processing	processing	NOUN
cana-3244	86	11	by	by	ADP
cana-3244	86	12	cleaning	clean	VERB
cana-3244	86	13	the	the	DET
cana-3244	86	14	data	datum	NOUN
cana-3244	86	15	across	across	ADP
cana-3244	86	16	multiple	multiple	ADJ
cana-3244	86	17	stages	stage	NOUN
cana-3244	86	18	.	.	PUNCT
cana-3244	87	1	the	the	DET
cana-3244	87	2	process	process	NOUN
cana-3244	87	3	involves	involve	VERB
cana-3244	87	4	eight	eight	NUM
cana-3244	87	5	key	key	ADJ
cana-3244	87	6	actions	action	NOUN
cana-3244	87	7	.	.	PUNCT
cana-3244	88	1	it	it	PRON
cana-3244	88	2	begins	begin	VERB
cana-3244	88	3	with	with	ADP
cana-3244	88	4	eliminating	eliminate	VERB
cana-3244	88	5	web	web	NOUN
cana-3244	88	6	addresses	address	NOUN
cana-3244	88	7	and	and	CCONJ
cana-3244	88	8	links	link	NOUN
cana-3244	88	9	,	,	PUNCT
cana-3244	88	10	followed	follow	VERB
cana-3244	88	11	by	by	ADP
cana-3244	88	12	tokenization	tokenization	NOUN
cana-3244	88	13	,	,	PUNCT
cana-3244	88	14	lemmatization	lemmatization	NOUN
cana-3244	88	15	,	,	PUNCT
cana-3244	88	16	and	and	CCONJ
cana-3244	88	17	case	case	NOUN
cana-3244	88	18	normalization	normalization	NOUN
cana-3244	88	19	.	.	PUNCT
cana-3244	89	1	word	word	NOUN
cana-3244	89	2	removal	removal	NOUN
cana-3244	89	3	,	,	PUNCT
cana-3244	89	4	stemming	stemming	NOUN
cana-3244	89	5	,	,	PUNCT
cana-3244	89	6	and	and	CCONJ
cana-3244	89	7	deletion	deletion	NOUN
cana-3244	89	8	of	of	ADP
cana-3244	89	9	redundant	redundant	ADJ
cana-3244	89	10	data	datum	NOUN
cana-3244	89	11	complete	complete	VERB
cana-3244	89	12	the	the	DET
cana-3244	89	13	cleanup	cleanup	NOUN
cana-3244	89	14	,	,	PUNCT
cana-3244	89	15	preparing	prepare	VERB
cana-3244	89	16	the	the	DET
cana-3244	89	17	dataset	dataset	NOUN
cana-3244	89	18	for	for	ADP
cana-3244	89	19	classification	classification	NOUN
cana-3244	89	20	.	.	PUNCT
cana-3244	90	1	3.3	3.3	NUM
cana-3244	90	2	aspect	aspect	NOUN
cana-3244	90	3	-	-	PUNCT
cana-3244	90	4	based	base	VERB
cana-3244	90	5	feature	feature	NOUN
cana-3244	90	6	extraction	extraction	NOUN
cana-3244	90	7	feature	feature	NOUN
cana-3244	90	8	extraction	extraction	NOUN
cana-3244	90	9	simplifies	simplifie	NOUN
cana-3244	90	10	large	large	ADJ
cana-3244	90	11	datasets	dataset	NOUN
cana-3244	90	12	by	by	ADP
cana-3244	90	13	selecting	select	VERB
cana-3244	90	14	relevant	relevant	ADJ
cana-3244	90	15	aspects	aspect	NOUN
cana-3244	90	16	.	.	PUNCT
cana-3244	91	1	two	two	NUM
cana-3244	91	2	kinds	kind	NOUN
cana-3244	91	3	of	of	ADP
cana-3244	91	4	aspects	aspect	NOUN
cana-3244	91	5	—	—	PUNCT
cana-3244	91	6	explicit	explicit	ADJ
cana-3244	91	7	and	and	CCONJ
cana-3244	91	8	implicit	implicit	ADJ
cana-3244	91	9	—	—	PUNCT
cana-3244	91	10	are	be	AUX
cana-3244	91	11	extracted	extract	VERB
cana-3244	91	12	in	in	ADP
cana-3244	91	13	this	this	DET
cana-3244	91	14	framework	framework	NOUN
cana-3244	91	15	.	.	PUNCT
cana-3244	92	1	pos	pos	NOUN
cana-3244	92	2	tagging	tagging	NOUN
cana-3244	92	3	and	and	CCONJ
cana-3244	92	4	rule	rule	NOUN
cana-3244	92	5	mining	mining	NOUN
cana-3244	92	6	methods	method	NOUN
cana-3244	92	7	handle	handle	VERB
cana-3244	92	8	explicit	explicit	ADJ
cana-3244	92	9	aspects	aspect	NOUN
cana-3244	92	10	,	,	PUNCT
cana-3244	92	11	while	while	SCONJ
cana-3244	92	12	implicit	implicit	ADJ
cana-3244	92	13	aspects	aspect	NOUN
cana-3244	92	14	are	be	AUX
cana-3244	92	15	identified	identify	VERB
cana-3244	92	16	using	use	VERB
cana-3244	92	17	the	the	DET
cana-3244	92	18	stanford	stanford	PROPN
cana-3244	92	19	dependency	dependency	NOUN
cana-3244	92	20	parser	parser	NOUN
cana-3244	92	21	(	(	PUNCT
cana-3244	92	22	sdp	sdp	NOUN
cana-3244	92	23	)	)	PUNCT
cana-3244	92	24	.	.	PUNCT
cana-3244	93	1	these	these	DET
cana-3244	93	2	methods	method	NOUN
cana-3244	93	3	work	work	VERB
cana-3244	93	4	together	together	ADV
cana-3244	93	5	to	to	PART
cana-3244	93	6	detect	detect	VERB
cana-3244	93	7	single	single	ADJ
cana-3244	93	8	and	and	CCONJ
cana-3244	93	9	multi	multi	ADJ
cana-3244	93	10	-	-	ADJ
cana-3244	93	11	word	word	ADJ
cana-3244	93	12	aspects	aspect	NOUN
cana-3244	93	13	effectively	effectively	ADV
cana-3244	93	14	.	.	PUNCT
cana-3244	94	1	communications	communication	NOUN
cana-3244	94	2	on	on	ADP
cana-3244	94	3	applied	apply	VERB
cana-3244	94	4	nonlinear	nonlinear	ADJ
cana-3244	94	5	analysis	analysis	NOUN
cana-3244	94	6	issn	issn	NOUN
cana-3244	94	7	:	:	PUNCT
cana-3244	94	8	1074	1074	NUM
cana-3244	94	9	-	-	PUNCT
cana-3244	94	10	133x	133x	NUM
cana-3244	94	11	vol	vol	NOUN
cana-3244	94	12	32	32	NUM
cana-3244	94	13	no	no	NOUN
cana-3244	94	14	.	.	PUNCT
cana-3244	95	1	6s	6s	NUM
cana-3244	95	2	(	(	PUNCT
cana-3244	95	3	2025	2025	NUM
cana-3244	95	4	)	)	PUNCT
cana-3244	95	5	58	58	NUM
cana-3244	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	95	7	3.3.1	3.3.1	NUM
cana-3244	95	8	stanford	stanford	NOUN
cana-3244	95	9	dependency	dependency	NOUN
cana-3244	95	10	parser	parser	NOUN
cana-3244	95	11	for	for	ADP
cana-3244	95	12	implicit	implicit	ADJ
cana-3244	95	13	aspects	aspect	NOUN
cana-3244	95	14	identifying	identify	VERB
cana-3244	95	15	implicit	implicit	ADJ
cana-3244	95	16	aspects	aspect	NOUN
cana-3244	95	17	can	can	AUX
cana-3244	95	18	be	be	AUX
cana-3244	95	19	more	more	ADV
cana-3244	95	20	complex	complex	ADJ
cana-3244	95	21	since	since	SCONJ
cana-3244	95	22	they	they	PRON
cana-3244	95	23	are	be	AUX
cana-3244	95	24	not	not	PART
cana-3244	95	25	explicitly	explicitly	ADV
cana-3244	95	26	stated	state	VERB
cana-3244	95	27	.	.	PUNCT
cana-3244	96	1	opinions	opinion	NOUN
cana-3244	96	2	and	and	CCONJ
cana-3244	96	3	related	related	ADJ
cana-3244	96	4	aspects	aspect	NOUN
cana-3244	96	5	within	within	ADP
cana-3244	96	6	sentences	sentence	NOUN
cana-3244	96	7	are	be	AUX
cana-3244	96	8	connected	connect	VERB
cana-3244	96	9	using	use	VERB
cana-3244	96	10	sdp	sdp	NOUN
cana-3244	96	11	,	,	PUNCT
cana-3244	96	12	which	which	PRON
cana-3244	96	13	detects	detect	VERB
cana-3244	96	14	their	their	PRON
cana-3244	96	15	relationships	relationship	NOUN
cana-3244	96	16	.	.	PUNCT
cana-3244	97	1	for	for	ADP
cana-3244	97	2	instance	instance	NOUN
cana-3244	97	3	,	,	PUNCT
cana-3244	97	4	the	the	DET
cana-3244	97	5	phrase	phrase	NOUN
cana-3244	97	6	"	"	PUNCT
cana-3244	97	7	the	the	DET
cana-3244	97	8	tooth	tooth	NOUN
cana-3244	97	9	pain	pain	NOUN
cana-3244	97	10	got	get	VERB
cana-3244	97	11	stale	stale	ADJ
cana-3244	97	12	"	"	PUNCT
cana-3244	97	13	reveals	reveal	VERB
cana-3244	97	14	patterns	pattern	NOUN
cana-3244	97	15	such	such	ADJ
cana-3244	97	16	as	as	ADP
cana-3244	97	17	"	"	PUNCT
cana-3244	97	18	the	the	DET
cana-3244	97	19	dt	dt	PROPN
cana-3244	97	20	,	,	PUNCT
cana-3244	97	21	"	"	PUNCT
cana-3244	97	22	"	"	PUNCT
cana-3244	97	23	pain	pain	NOUN
cana-3244	97	24	jj	jj	PROPN
cana-3244	97	25	,	,	PUNCT
cana-3244	97	26	"	"	PUNCT
cana-3244	97	27	and	and	CCONJ
cana-3244	97	28	"	"	PUNCT
cana-3244	97	29	stale	stale	ADJ
cana-3244	97	30	nn	nn	PROPN
cana-3244	97	31	.	.	PUNCT
cana-3244	97	32	"	"	PUNCT
cana-3244	97	33	paths	path	NOUN
cana-3244	97	34	like	like	ADP
cana-3244	97	35	"	"	PUNCT
cana-3244	97	36	nsubj	nsubj	NOUN
cana-3244	97	37	-	-	PUNCT
cana-3244	97	38	advmod	advmod	PROPN
cana-3244	97	39	"	"	PUNCT
cana-3244	97	40	map	map	NOUN
cana-3244	97	41	adjectives	adjective	NOUN
cana-3244	97	42	and	and	CCONJ
cana-3244	97	43	verbs	verbs	PROPN
cana-3244	97	44	(	(	PUNCT
cana-3244	97	45	e.g.	e.g.	ADV
cana-3244	97	46	,	,	PUNCT
cana-3244	97	47	"	"	PUNCT
cana-3244	97	48	bad	bad	ADJ
cana-3244	97	49	rb	rb	NOUN
cana-3244	97	50	,	,	PUNCT
cana-3244	97	51	"	"	PUNCT
cana-3244	97	52	"	"	PUNCT
cana-3244	97	53	had	have	VERB
cana-3244	97	54	vbn	vbn	NOUN
cana-3244	97	55	"	"	PUNCT
cana-3244	97	56	)	)	PUNCT
cana-3244	97	57	to	to	PART
cana-3244	97	58	implicit	implicit	ADJ
cana-3244	97	59	aspects	aspect	NOUN
cana-3244	97	60	.	.	PUNCT
cana-3244	98	1	when	when	SCONJ
cana-3244	98	2	the	the	DET
cana-3244	98	3	sentence	sentence	NOUN
cana-3244	98	4	reads	read	VERB
cana-3244	98	5	"	"	PUNCT
cana-3244	98	6	had	have	VERB
cana-3244	98	7	really	really	ADV
cana-3244	98	8	bad	bad	ADJ
cana-3244	98	9	tooth	tooth	NOUN
cana-3244	98	10	pain	pain	NOUN
cana-3244	98	11	,	,	PUNCT
cana-3244	98	12	"	"	PUNCT
cana-3244	98	13	it	it	PRON
cana-3244	98	14	identifies	identify	VERB
cana-3244	98	15	the	the	DET
cana-3244	98	16	aspect	aspect	NOUN
cana-3244	98	17	"	"	PUNCT
cana-3244	98	18	pain	pain	NOUN
cana-3244	98	19	tooth	tooth	NOUN
cana-3244	98	20	,	,	PUNCT
cana-3244	98	21	"	"	PUNCT
cana-3244	98	22	associated	associate	VERB
cana-3244	98	23	with	with	ADP
cana-3244	98	24	the	the	DET
cana-3244	98	25	dentist	dentist	NOUN
cana-3244	98	26	category	category	NOUN
cana-3244	98	27	in	in	ADP
cana-3244	98	28	the	the	DET
cana-3244	98	29	sts	st	NOUN
cana-3244	98	30	dataset	dataset	NOUN
cana-3244	98	31	.	.	PUNCT
cana-3244	99	1	by	by	ADP
cana-3244	99	2	exploring	explore	VERB
cana-3244	99	3	patterns	pattern	NOUN
cana-3244	99	4	and	and	CCONJ
cana-3244	99	5	dependencies	dependency	NOUN
cana-3244	99	6	,	,	PUNCT
cana-3244	99	7	this	this	DET
cana-3244	99	8	approach	approach	NOUN
cana-3244	99	9	discovers	discover	VERB
cana-3244	99	10	new	new	ADJ
cana-3244	99	11	implicit	implicit	ADJ
cana-3244	99	12	aspects	aspect	NOUN
cana-3244	99	13	efficiently	efficiently	ADV
cana-3244	99	14	.	.	PUNCT
cana-3244	100	1	3.3.2	3.3.2	NUM
cana-3244	100	2	associate	associate	NOUN
cana-3244	100	3	rule	rule	NOUN
cana-3244	100	4	mining	mining	NOUN
cana-3244	100	5	for	for	ADP
cana-3244	100	6	explicit	explicit	ADJ
cana-3244	100	7	aspects	aspect	NOUN
cana-3244	100	8	arm	arm	NOUN
cana-3244	100	9	identifies	identify	VERB
cana-3244	100	10	frequent	frequent	ADJ
cana-3244	100	11	patterns	pattern	NOUN
cana-3244	100	12	by	by	ADP
cana-3244	100	13	analyzing	analyze	VERB
cana-3244	100	14	relationships	relationship	NOUN
cana-3244	100	15	between	between	ADP
cana-3244	100	16	elements	element	NOUN
cana-3244	100	17	in	in	ADP
cana-3244	100	18	text	text	NOUN
cana-3244	100	19	.	.	PUNCT
cana-3244	101	1	to	to	PART
cana-3244	101	2	ensure	ensure	VERB
cana-3244	101	3	accuracy	accuracy	NOUN
cana-3244	101	4	,	,	PUNCT
cana-3244	101	5	the	the	DET
cana-3244	101	6	method	method	NOUN
cana-3244	101	7	uses	use	VERB
cana-3244	101	8	apriori	apriori	ADV
cana-3244	101	9	algorithms	algorithm	NOUN
cana-3244	101	10	with	with	ADP
cana-3244	101	11	minimum	minimum	ADJ
cana-3244	101	12	support	support	NOUN
cana-3244	101	13	and	and	CCONJ
cana-3244	101	14	confidence	confidence	NOUN
cana-3244	101	15	values	value	NOUN
cana-3244	101	16	.	.	PUNCT
cana-3244	102	1	items	item	NOUN
cana-3244	102	2	appearing	appear	VERB
cana-3244	102	3	frequently	frequently	ADV
cana-3244	102	4	are	be	AUX
cana-3244	102	5	detected	detect	VERB
cana-3244	102	6	and	and	CCONJ
cana-3244	102	7	analyzed	analyze	VERB
cana-3244	102	8	based	base	VERB
cana-3244	102	9	on	on	ADP
cana-3244	102	10	user	user	NOUN
cana-3244	102	11	-	-	PUNCT
cana-3244	102	12	defined	define	VERB
cana-3244	102	13	thresholds	threshold	NOUN
cana-3244	102	14	.	.	PUNCT
cana-3244	103	1	through	through	ADP
cana-3244	103	2	arm	arm	NOUN
cana-3244	103	3	,	,	PUNCT
cana-3244	103	4	single	single	ADJ
cana-3244	103	5	-	-	PUNCT
cana-3244	103	6	word	word	NOUN
cana-3244	103	7	aspects	aspect	NOUN
cana-3244	103	8	such	such	ADJ
cana-3244	103	9	as	as	ADP
cana-3244	103	10	"	"	PUNCT
cana-3244	103	11	google	google	NOUN
cana-3244	103	12	,	,	PUNCT
cana-3244	103	13	"	"	PUNCT
cana-3244	103	14	"	"	PUNCT
cana-3244	103	15	united	united	ADJ
cana-3244	103	16	flight	flight	NOUN
cana-3244	103	17	,	,	PUNCT
cana-3244	103	18	"	"	PUNCT
cana-3244	103	19	and	and	CCONJ
cana-3244	103	20	"	"	PUNCT
cana-3244	103	21	nike	nike	X
cana-3244	103	22	"	"	PUNCT
cana-3244	103	23	were	be	AUX
cana-3244	103	24	extracted	extract	VERB
cana-3244	103	25	.	.	PUNCT
cana-3244	104	1	the	the	DET
cana-3244	104	2	pattern	pattern	NOUN
cana-3244	104	3	nnvbg	nnvbg	PROPN
cana-3244	104	4	identified	identify	VERB
cana-3244	104	5	"	"	PUNCT
cana-3244	104	6	gop	gop	PROPN
cana-3244	104	7	debate	debate	NOUN
cana-3244	104	8	,	,	PUNCT
cana-3244	104	9	"	"	PUNCT
cana-3244	104	10	while	while	SCONJ
cana-3244	104	11	nn	nn	PROPN
cana-3244	104	12	-	-	PUNCT
cana-3244	104	13	jj	jj	PROPN
cana-3244	104	14	revealed	reveal	VERB
cana-3244	104	15	"	"	PUNCT
cana-3244	104	16	apple	apple	NOUN
cana-3244	104	17	iphone	iphone	NOUN
cana-3244	104	18	.	.	PUNCT
cana-3244	104	19	"	"	PUNCT
cana-3244	105	1	when	when	SCONJ
cana-3244	105	2	generating	generate	VERB
cana-3244	105	3	multi	multi	ADJ
cana-3244	105	4	-	-	ADJ
cana-3244	105	5	word	word	ADJ
cana-3244	105	6	aspects	aspect	NOUN
cana-3244	105	7	,	,	PUNCT
cana-3244	105	8	phrases	phrase	NOUN
cana-3244	105	9	like	like	ADP
cana-3244	105	10	"	"	PUNCT
cana-3244	105	11	jet	jet	NOUN
cana-3244	105	12	blue	blue	ADJ
cana-3244	105	13	flight	flight	NOUN
cana-3244	105	14	"	"	PUNCT
cana-3244	105	15	followed	follow	VERB
cana-3244	105	16	the	the	DET
cana-3244	105	17	dt	dt	PROPN
cana-3244	105	18	-	-	PUNCT
cana-3244	105	19	jj	jj	PROPN
cana-3244	105	20	structure	structure	NOUN
cana-3244	105	21	,	,	PUNCT
cana-3244	105	22	demonstrating	demonstrate	VERB
cana-3244	105	23	arm	arm	NOUN
cana-3244	105	24	’s	’s	PART
cana-3244	105	25	capability	capability	NOUN
cana-3244	105	26	to	to	PART
cana-3244	105	27	uncover	uncover	VERB
cana-3244	105	28	complex	complex	ADJ
cana-3244	105	29	textual	textual	ADJ
cana-3244	105	30	patterns	pattern	NOUN
cana-3244	105	31	.	.	PUNCT
cana-3244	106	1	3.4	3.4	NUM
cana-3244	106	2	hybrid	hybrid	ADJ
cana-3244	106	3	text	text	NOUN
cana-3244	106	4	classification	classification	NOUN
cana-3244	106	5	this	this	DET
cana-3244	106	6	section	section	NOUN
cana-3244	106	7	presents	present	VERB
cana-3244	106	8	a	a	DET
cana-3244	106	9	hybrid	hybrid	ADJ
cana-3244	106	10	classification	classification	NOUN
cana-3244	106	11	model	model	NOUN
cana-3244	106	12	that	that	PRON
cana-3244	106	13	integrates	integrate	VERB
cana-3244	106	14	rule	rule	NOUN
cana-3244	106	15	-	-	PUNCT
cana-3244	106	16	based	base	VERB
cana-3244	106	17	methods	method	NOUN
cana-3244	106	18	and	and	CCONJ
cana-3244	106	19	machine	machine	NOUN
cana-3244	106	20	learning	learn	VERB
cana-3244	106	21	algorithms	algorithm	NOUN
cana-3244	106	22	.	.	PUNCT
cana-3244	107	1	it	it	PRON
cana-3244	107	2	identifies	identify	VERB
cana-3244	107	3	sentiment	sentiment	NOUN
cana-3244	107	4	words	word	NOUN
cana-3244	107	5	while	while	SCONJ
cana-3244	107	6	extracting	extract	VERB
cana-3244	107	7	opinions	opinion	NOUN
cana-3244	107	8	from	from	ADP
cana-3244	107	9	the	the	DET
cana-3244	107	10	given	give	VERB
cana-3244	107	11	datasets	dataset	NOUN
cana-3244	107	12	.	.	PUNCT
cana-3244	108	1	3.4.1	3.4.1	NUM
cana-3244	108	2	sentiment	sentiment	NOUN
cana-3244	108	3	word	word	NOUN
cana-3244	108	4	detection	detection	NOUN
cana-3244	108	5	using	use	VERB
cana-3244	108	6	rule	rule	NOUN
cana-3244	108	7	-	-	PUNCT
cana-3244	108	8	based	base	VERB
cana-3244	108	9	method	method	NOUN
cana-3244	108	10	the	the	DET
cana-3244	108	11	rule	rule	NOUN
cana-3244	108	12	-	-	PUNCT
cana-3244	108	13	based	base	VERB
cana-3244	108	14	method	method	NOUN
cana-3244	108	15	captures	capture	VERB
cana-3244	108	16	aspects	aspect	NOUN
cana-3244	108	17	overlooked	overlook	VERB
cana-3244	108	18	by	by	ADP
cana-3244	108	19	sdp	sdp	NOUN
cana-3244	108	20	.	.	PUNCT
cana-3244	109	1	it	it	PRON
cana-3244	109	2	identifies	identify	VERB
cana-3244	109	3	relevant	relevant	ADJ
cana-3244	109	4	sentiment	sentiment	NOUN
cana-3244	109	5	words	word	NOUN
cana-3244	109	6	and	and	CCONJ
cana-3244	109	7	extracts	extract	NOUN
cana-3244	109	8	their	their	PRON
cana-3244	109	9	polarity	polarity	NOUN
cana-3244	109	10	values	value	NOUN
cana-3244	109	11	and	and	CCONJ
cana-3244	109	12	relationships	relationship	NOUN
cana-3244	109	13	with	with	ADP
cana-3244	109	14	aspects	aspect	NOUN
cana-3244	109	15	.	.	PUNCT
cana-3244	110	1	for	for	ADP
cana-3244	110	2	instance	instance	NOUN
cana-3244	110	3	,	,	PUNCT
cana-3244	110	4	the	the	DET
cana-3244	110	5	sts	sts	ADJ
cana-3244	110	6	dataset	dataset	NOUN
cana-3244	110	7	contains	contain	VERB
cana-3244	110	8	a	a	DET
cana-3244	110	9	tweet	tweet	NOUN
cana-3244	110	10	:	:	PUNCT
cana-3244	110	11	“	"	PUNCT
cana-3244	110	12	worked	work	VERB
cana-3244	110	13	harder	hard	ADV
cana-3244	110	14	,	,	PUNCT
cana-3244	110	15	now	now	ADV
cana-3244	110	16	only	only	ADV
cana-3244	110	17	one	one	NUM
cana-3244	110	18	exam	exam	NOUN
cana-3244	110	19	left	leave	VERB
cana-3244	110	20	,	,	PUNCT
cana-3244	110	21	and	and	CCONJ
cana-3244	110	22	i	i	PRON
cana-3244	110	23	feel	feel	VERB
cana-3244	110	24	so	so	ADV
cana-3244	110	25	happy	happy	ADJ
cana-3244	110	26	,	,	PUNCT
cana-3244	110	27	will	will	AUX
cana-3244	110	28	have	have	VERB
cana-3244	110	29	fun	fun	NOUN
cana-3244	110	30	soon	soon	ADV
cana-3244	110	31	,	,	PUNCT
cana-3244	110	32	anxiously	anxiously	ADV
cana-3244	110	33	waiting	wait	VERB
cana-3244	110	34	.	.	PUNCT
cana-3244	110	35	”	"	PUNCT
cana-3244	110	36	using	use	VERB
cana-3244	110	37	relationships	relationship	NOUN
cana-3244	110	38	such	such	ADJ
cana-3244	110	39	as	as	ADP
cana-3244	110	40	"	"	PUNCT
cana-3244	110	41	aux	aux	X
cana-3244	110	42	"	"	PUNCT
cana-3244	110	43	and	and	CCONJ
cana-3244	110	44	"	"	PUNCT
cana-3244	110	45	xcomp	xcomp	X
cana-3244	110	46	,	,	PUNCT
cana-3244	110	47	"	"	PUNCT
cana-3244	110	48	the	the	DET
cana-3244	110	49	sdp	sdp	NOUN
cana-3244	110	50	method	method	NOUN
cana-3244	110	51	extracts	extract	NOUN
cana-3244	110	52	"	"	PUNCT
cana-3244	110	53	will	will	AUX
cana-3244	110	54	fun	fun	VERB
cana-3244	110	55	"	"	PUNCT
cana-3244	110	56	and	and	CCONJ
cana-3244	110	57	"	"	PUNCT
cana-3244	110	58	feel	feel	VERB
cana-3244	110	59	happy	happy	ADJ
cana-3244	110	60	.	.	PUNCT
cana-3244	110	61	"	"	PUNCT
cana-3244	111	1	algorithm	algorithm	NOUN
cana-3244	111	2	1	1	NUM
cana-3244	111	3	identifies	identify	VERB
cana-3244	111	4	sentiment	sentiment	NOUN
cana-3244	111	5	words	word	NOUN
cana-3244	111	6	based	base	VERB
cana-3244	111	7	on	on	ADP
cana-3244	111	8	their	their	PRON
cana-3244	111	9	position	position	NOUN
cana-3244	111	10	relative	relative	ADJ
cana-3244	111	11	to	to	ADP
cana-3244	111	12	aspects	aspect	NOUN
cana-3244	111	13	,	,	PUNCT
cana-3244	111	14	evaluating	evaluate	VERB
cana-3244	111	15	them	they	PRON
cana-3244	111	16	within	within	ADP
cana-3244	111	17	a	a	DET
cana-3244	111	18	defined	define	VERB
cana-3244	111	19	distance	distance	NOUN
cana-3244	111	20	.	.	PUNCT
cana-3244	112	1	this	this	DET
cana-3244	112	2	method	method	NOUN
cana-3244	112	3	ensures	ensure	VERB
cana-3244	112	4	that	that	SCONJ
cana-3244	112	5	each	each	DET
cana-3244	112	6	sentiment	sentiment	NOUN
cana-3244	112	7	word	word	NOUN
cana-3244	112	8	contributes	contribute	VERB
cana-3244	112	9	accurately	accurately	ADV
cana-3244	112	10	to	to	ADP
cana-3244	112	11	classification	classification	NOUN
cana-3244	112	12	outcomes	outcome	NOUN
cana-3244	112	13	.	.	PUNCT
cana-3244	113	1	algorithm	algorithm	NOUN
cana-3244	113	2	1	1	NUM
cana-3244	113	3	:	:	PUNCT
cana-3244	113	4	rule	rule	NOUN
cana-3244	113	5	based	base	VERB
cana-3244	113	6	method	method	NOUN
cana-3244	113	7	for	for	ADP
cana-3244	113	8	each	each	DET
cana-3244	113	9	tweet	tweet	NOUN
cana-3244	113	10	:	:	PUNCT
cana-3244	114	1	1	1	X
cana-3244	114	2	.	.	X
cana-3244	114	3	analyze	analyze	VERB
cana-3244	114	4	the	the	DET
cana-3244	114	5	aspect	aspect	NOUN
cana-3244	114	6	in	in	ADP
cana-3244	114	7	the	the	DET
cana-3244	114	8	sentence	sentence	NOUN
cana-3244	114	9	.	.	PUNCT
cana-3244	115	1	2	2	X
cana-3244	115	2	.	.	X
cana-3244	115	3	if	if	SCONJ
cana-3244	115	4	the	the	DET
cana-3244	115	5	aspect	aspect	NOUN
cana-3244	115	6	matches	match	VERB
cana-3244	115	7	:	:	PUNCT
cana-3244	115	8	o	o	NOUN
cana-3244	115	9	retrieve	retrieve	VERB
cana-3244	115	10	the	the	DET
cana-3244	115	11	sentence	sentence	NOUN
cana-3244	115	12	word	word	NOUN
cana-3244	115	13	.	.	PUNCT
cana-3244	116	1	o	o	X
cana-3244	116	2	if	if	SCONJ
cana-3244	116	3	the	the	DET
cana-3244	116	4	sentiment	sentiment	NOUN
cana-3244	116	5	word	word	NOUN
cana-3244	116	6	’s	’s	PART
cana-3244	116	7	distance	distance	NOUN
cana-3244	116	8	≤	≤	NUM
cana-3244	116	9	4	4	NUM
cana-3244	116	10	:	:	PUNCT
cana-3244	116	11	▪	▪	NOUN
cana-3244	116	12	add	add	VERB
cana-3244	116	13	it	it	PRON
cana-3244	116	14	to	to	ADP
cana-3244	116	15	the	the	DET
cana-3244	116	16	results	result	NOUN
cana-3244	116	17	.	.	PUNCT
cana-3244	117	1	o	o	NOUN
cana-3244	117	2	else	else	ADV
cana-3244	117	3	:	:	PUNCT
cana-3244	117	4	▪	▪	X
cana-3244	117	5	exclude	exclude	VERB
cana-3244	117	6	the	the	DET
cana-3244	117	7	word	word	NOUN
cana-3244	117	8	.	.	PUNCT
cana-3244	118	1	communications	communication	NOUN
cana-3244	118	2	on	on	ADP
cana-3244	118	3	applied	apply	VERB
cana-3244	118	4	nonlinear	nonlinear	ADJ
cana-3244	118	5	analysis	analysis	NOUN
cana-3244	118	6	issn	issn	NOUN
cana-3244	118	7	:	:	PUNCT
cana-3244	118	8	1074	1074	NUM
cana-3244	118	9	-	-	PUNCT
cana-3244	118	10	133x	133x	NUM
cana-3244	118	11	vol	vol	NOUN
cana-3244	118	12	32	32	NUM
cana-3244	118	13	no	no	NOUN
cana-3244	118	14	.	.	PUNCT
cana-3244	119	1	6s	6s	NUM
cana-3244	119	2	(	(	PUNCT
cana-3244	119	3	2025	2025	NUM
cana-3244	119	4	)	)	PUNCT
cana-3244	119	5	59	59	NUM
cana-3244	120	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	120	2	3	3	X
cana-3244	120	3	.	.	X
cana-3244	120	4	for	for	ADP
cana-3244	120	5	each	each	DET
cana-3244	120	6	result	result	NOUN
cana-3244	120	7	:	:	PUNCT
cana-3244	120	8	o	o	NOUN
cana-3244	120	9	compute	compute	VERB
cana-3244	120	10	the	the	DET
cana-3244	120	11	sentiment	sentiment	NOUN
cana-3244	120	12	word	word	NOUN
cana-3244	120	13	value	value	NOUN
cana-3244	120	14	.	.	PUNCT
cana-3244	121	1	o	o	NOUN
cana-3244	121	2	display	display	VERB
cana-3244	121	3	the	the	DET
cana-3244	121	4	result	result	NOUN
cana-3244	121	5	.	.	PUNCT
cana-3244	122	1	3.4.2	3.4.2	NUM
cana-3244	122	2	feature	feature	NOUN
cana-3244	122	3	selection	selection	NOUN
cana-3244	122	4	of	of	ADP
cana-3244	122	5	sentiment	sentiment	NOUN
cana-3244	122	6	words	word	VERB
cana-3244	122	7	the	the	DET
cana-3244	122	8	framework	framework	NOUN
cana-3244	122	9	uses	use	VERB
cana-3244	122	10	information	information	NOUN
cana-3244	122	11	gain	gain	NOUN
cana-3244	122	12	to	to	PART
cana-3244	122	13	rank	rank	NOUN
cana-3244	122	14	features	feature	NOUN
cana-3244	122	15	.	.	PUNCT
cana-3244	123	1	pca	pca	PROPN
cana-3244	123	2	was	be	AUX
cana-3244	123	3	selected	select	VERB
cana-3244	123	4	for	for	ADP
cana-3244	123	5	feature	feature	NOUN
cana-3244	123	6	reduction	reduction	NOUN
cana-3244	123	7	after	after	ADP
cana-3244	123	8	comparing	compare	VERB
cana-3244	123	9	it	it	PRON
cana-3244	123	10	with	with	ADP
cana-3244	123	11	other	other	ADJ
cana-3244	123	12	techniques	technique	NOUN
cana-3244	123	13	,	,	PUNCT
cana-3244	123	14	such	such	ADJ
cana-3244	123	15	as	as	ADP
cana-3244	123	16	latent	latent	NOUN
cana-3244	123	17	semantic	semantic	ADJ
cana-3244	123	18	analysis	analysis	NOUN
cana-3244	123	19	and	and	CCONJ
cana-3244	123	20	genetic	genetic	ADJ
cana-3244	123	21	algorithms	algorithm	NOUN
cana-3244	123	22	.	.	PUNCT
cana-3244	124	1	the	the	DET
cana-3244	124	2	feature	feature	NOUN
cana-3244	124	3	selection	selection	NOUN
cana-3244	124	4	process	process	NOUN
cana-3244	124	5	starts	start	VERB
cana-3244	124	6	with	with	ADP
cana-3244	124	7	transforming	transform	VERB
cana-3244	124	8	the	the	DET
cana-3244	124	9	dataset	dataset	NOUN
cana-3244	124	10	into	into	ADP
cana-3244	124	11	a	a	DET
cana-3244	124	12	statistical	statistical	ADJ
cana-3244	124	13	model	model	NOUN
cana-3244	124	14	,	,	PUNCT
cana-3244	124	15	followed	follow	VERB
cana-3244	124	16	by	by	ADP
cana-3244	124	17	calculating	calculate	VERB
cana-3244	124	18	covariance	covariance	NOUN
cana-3244	124	19	and	and	CCONJ
cana-3244	124	20	extracting	extract	VERB
cana-3244	124	21	eigenvalues	eigenvalue	NOUN
cana-3244	124	22	.	.	PUNCT
cana-3244	125	1	analysis	analysis	NOUN
cana-3244	125	2	is	be	AUX
cana-3244	125	3	conducted	conduct	VERB
cana-3244	125	4	by	by	ADP
cana-3244	125	5	training	train	VERB
cana-3244	125	6	the	the	DET
cana-3244	125	7	top	top	ADJ
cana-3244	125	8	vector	vector	NOUN
cana-3244	125	9	to	to	PART
cana-3244	125	10	represent	represent	VERB
cana-3244	125	11	relevant	relevant	ADJ
cana-3244	125	12	features	feature	NOUN
cana-3244	125	13	effectively	effectively	ADV
cana-3244	125	14	.	.	PUNCT
cana-3244	126	1	3.4.3	3.4.3	NUM
cana-3244	126	2	classification	classification	NOUN
cana-3244	126	3	algorithm	algorithm	NOUN
cana-3244	126	4	following	follow	VERB
cana-3244	126	5	feature	feature	NOUN
cana-3244	126	6	selection	selection	NOUN
cana-3244	126	7	,	,	PUNCT
cana-3244	126	8	the	the	DET
cana-3244	126	9	text	text	NOUN
cana-3244	126	10	is	be	AUX
cana-3244	126	11	classified	classify	VERB
cana-3244	126	12	using	use	VERB
cana-3244	126	13	a	a	DET
cana-3244	126	14	multi	multi	ADJ
cana-3244	126	15	-	-	ADJ
cana-3244	126	16	layer	layer	ADJ
cana-3244	126	17	perceptron	perceptron	NOUN
cana-3244	126	18	(	(	PUNCT
cana-3244	126	19	mlp	mlp	PROPN
cana-3244	126	20	)	)	PUNCT
cana-3244	126	21	model	model	NOUN
cana-3244	126	22	.	.	PUNCT
cana-3244	127	1	this	this	DET
cana-3244	127	2	model	model	NOUN
cana-3244	127	3	includes	include	VERB
cana-3244	127	4	an	an	DET
cana-3244	127	5	input	input	NOUN
cana-3244	127	6	layer	layer	NOUN
cana-3244	127	7	,	,	PUNCT
cana-3244	127	8	an	an	DET
cana-3244	127	9	output	output	NOUN
cana-3244	127	10	layer	layer	NOUN
cana-3244	127	11	,	,	PUNCT
cana-3244	127	12	and	and	CCONJ
cana-3244	127	13	at	at	ADV
cana-3244	127	14	least	least	ADJ
cana-3244	127	15	one	one	NUM
cana-3244	127	16	hidden	hide	VERB
cana-3244	127	17	layer	layer	NOUN
cana-3244	127	18	.	.	PUNCT
cana-3244	128	1	data	datum	NOUN
cana-3244	128	2	flows	flow	NOUN
cana-3244	128	3	between	between	ADP
cana-3244	128	4	layers	layer	NOUN
cana-3244	128	5	through	through	ADP
cana-3244	128	6	feed	feed	NOUN
cana-3244	128	7	-	-	PUNCT
cana-3244	128	8	forward	forward	NOUN
cana-3244	128	9	connections	connection	NOUN
cana-3244	128	10	.	.	PUNCT
cana-3244	129	1	each	each	DET
cana-3244	129	2	predictor	predictor	NOUN
cana-3244	129	3	variable	variable	NOUN
cana-3244	129	4	connects	connect	VERB
cana-3244	129	5	with	with	ADP
cana-3244	129	6	neurons	neuron	NOUN
cana-3244	129	7	in	in	ADP
cana-3244	129	8	the	the	DET
cana-3244	129	9	next	next	ADJ
cana-3244	129	10	layer	layer	NOUN
cana-3244	129	11	,	,	PUNCT
cana-3244	129	12	with	with	ADP
cana-3244	129	13	the	the	DET
cana-3244	129	14	final	final	ADJ
cana-3244	129	15	hidden	hidden	ADJ
cana-3244	129	16	layer	layer	NOUN
cana-3244	129	17	linking	link	VERB
cana-3244	129	18	to	to	ADP
cana-3244	129	19	the	the	DET
cana-3244	129	20	output	output	NOUN
cana-3244	129	21	.	.	PUNCT
cana-3244	130	1	the	the	DET
cana-3244	130	2	model	model	NOUN
cana-3244	130	3	includes	include	VERB
cana-3244	130	4	three	three	NUM
cana-3244	130	5	hidden	hidden	ADJ
cana-3244	130	6	layers	layer	NOUN
cana-3244	130	7	,	,	PUNCT
cana-3244	130	8	each	each	PRON
cana-3244	130	9	with	with	ADP
cana-3244	130	10	a	a	DET
cana-3244	130	11	unique	unique	ADJ
cana-3244	130	12	number	number	NOUN
cana-3244	130	13	of	of	ADP
cana-3244	130	14	neurons	neuron	NOUN
cana-3244	130	15	and	and	CCONJ
cana-3244	130	16	activation	activation	NOUN
cana-3244	130	17	functions	function	NOUN
cana-3244	130	18	,	,	PUNCT
cana-3244	130	19	to	to	PART
cana-3244	130	20	ensure	ensure	VERB
cana-3244	130	21	accurate	accurate	ADJ
cana-3244	130	22	classification	classification	NOUN
cana-3244	130	23	.	.	PUNCT
cana-3244	131	1	figure	figure	NOUN
cana-3244	131	2	2	2	NUM
cana-3244	131	3	:	:	PUNCT
cana-3244	131	4	multi	multi	ADJ
cana-3244	131	5	-	-	ADJ
cana-3244	131	6	layer	layer	ADJ
cana-3244	131	7	perception	perception	NOUN
cana-3244	131	8	of	of	ADP
cana-3244	131	9	the	the	DET
cana-3244	131	10	proposed	propose	VERB
cana-3244	131	11	framework	framework	NOUN
cana-3244	131	12	3.4.4	3.4.4	NUM
cana-3244	131	13	activation	activation	NOUN
cana-3244	131	14	functions	function	NOUN
cana-3244	131	15	activation	activation	NOUN
cana-3244	131	16	functions	function	NOUN
cana-3244	131	17	help	help	AUX
cana-3244	131	18	convert	convert	VERB
cana-3244	131	19	input	input	NOUN
cana-3244	131	20	into	into	ADP
cana-3244	131	21	outputs	output	NOUN
cana-3244	131	22	through	through	ADP
cana-3244	131	23	hidden	hidden	ADJ
cana-3244	131	24	layers	layer	NOUN
cana-3244	131	25	.	.	PUNCT
cana-3244	132	1	differences	difference	NOUN
cana-3244	132	2	in	in	ADP
cana-3244	132	3	these	these	DET
cana-3244	132	4	functions	function	NOUN
cana-3244	132	5	’	'	PUNCT
cana-3244	132	6	speed	speed	NOUN
cana-3244	132	7	and	and	CCONJ
cana-3244	132	8	efficiency	efficiency	NOUN
cana-3244	132	9	determine	determine	VERB
cana-3244	132	10	their	their	PRON
cana-3244	132	11	usage	usage	NOUN
cana-3244	132	12	.	.	PUNCT
cana-3244	133	1	hyperbolic	hyperbolic	ADJ
cana-3244	133	2	tangent	tangent	NOUN
cana-3244	133	3	functions	function	NOUN
cana-3244	133	4	range	range	VERB
cana-3244	133	5	from	from	ADP
cana-3244	133	6	-1	-1	INTJ
cana-3244	133	7	to	to	ADP
cana-3244	133	8	1	1	NUM
cana-3244	133	9	,	,	PUNCT
cana-3244	133	10	while	while	SCONJ
cana-3244	133	11	sigmoid	sigmoid	NOUN
cana-3244	133	12	functions	function	NOUN
cana-3244	133	13	have	have	VERB
cana-3244	133	14	an	an	DET
cana-3244	133	15	output	output	NOUN
cana-3244	133	16	between	between	ADP
cana-3244	133	17	0	0	NUM
cana-3244	133	18	and	and	CCONJ
cana-3244	133	19	1	1	NUM
cana-3244	133	20	.	.	PUNCT
cana-3244	134	1	the	the	DET
cana-3244	134	2	identity	identity	NOUN
cana-3244	134	3	function	function	NOUN
cana-3244	134	4	outputs	output	NOUN
cana-3244	134	5	linearly	linearly	ADV
cana-3244	134	6	,	,	PUNCT
cana-3244	134	7	while	while	SCONJ
cana-3244	134	8	relu	relu	NOUN
cana-3244	134	9	addresses	address	VERB
cana-3244	134	10	the	the	DET
cana-3244	134	11	vanishing	vanish	VERB
cana-3244	134	12	gradient	gradient	NOUN
cana-3244	134	13	issue	issue	NOUN
cana-3244	134	14	,	,	PUNCT
cana-3244	134	15	making	make	VERB
cana-3244	134	16	it	it	PRON
cana-3244	134	17	a	a	DET
cana-3244	134	18	popular	popular	ADJ
cana-3244	134	19	choice	choice	NOUN
cana-3244	134	20	in	in	ADP
cana-3244	134	21	deep	deep	ADJ
cana-3244	134	22	learning	learning	NOUN
cana-3244	134	23	models	model	NOUN
cana-3244	134	24	.	.	PUNCT
cana-3244	135	1	multiple	multiple	ADJ
cana-3244	135	2	configurations	configuration	NOUN
cana-3244	135	3	are	be	AUX
cana-3244	135	4	tested	test	VERB
cana-3244	135	5	using	use	VERB
cana-3244	135	6	these	these	DET
cana-3244	135	7	functions	function	NOUN
cana-3244	135	8	to	to	PART
cana-3244	135	9	ensure	ensure	VERB
cana-3244	135	10	optimized	optimize	VERB
cana-3244	135	11	classification	classification	NOUN
cana-3244	135	12	results	result	NOUN
cana-3244	135	13	.	.	PUNCT
cana-3244	136	1	(	(	PUNCT
cana-3244	136	2	)	)	PUNCT
cana-3244	136	3	/	/	SYM
cana-3244	136	4	/f	/f	PUNCT
cana-3244	136	5	x	x	PUNCT
cana-3244	136	6	x	x	X
cana-3244	136	7	identify=	identify=	PROPN
cana-3244	136	8	(	(	PUNCT
cana-3244	136	9	1	1	NUM
cana-3244	136	10	)	)	PUNCT
cana-3244	136	11	1	1	NUM
cana-3244	136	12	(	(	PUNCT
cana-3244	136	13	)	)	PUNCT
cana-3244	136	14	exp	exp	NOUN
cana-3244	136	15	(	(	PUNCT
cana-3244	136	16	)	)	PUNCT
cana-3244	136	17	/	/	SYM
cana-3244	136	18	/	/	SYM
cana-3244	136	19	(	(	PUNCT
cana-3244	136	20	)	)	PUNCT
cana-3244	136	21	1	1	NUM
cana-3244	136	22	f	f	NOUN
cana-3244	136	23	x	x	SYM
cana-3244	136	24	x	x	X
cana-3244	136	25	logistic	logistic	ADJ
cana-3244	136	26	or	or	CCONJ
cana-3244	136	27	sigmoid=	sigmoid=	NUM
cana-3244	136	28	+	+	CCONJ
cana-3244	136	29	−	−	PROPN
cana-3244	136	30	(	(	PUNCT
cana-3244	136	31	2	2	NUM
cana-3244	136	32	)	)	SYM
cana-3244	136	33	1	1	NUM
cana-3244	136	34	exp	exp	NOUN
cana-3244	136	35	(	(	PUNCT
cana-3244	136	36	2	2	NUM
cana-3244	136	37	)	)	PUNCT
cana-3244	136	38	(	(	PUNCT
cana-3244	136	39	)	)	PUNCT
cana-3244	136	40	/	/	SYM
cana-3244	136	41	/	/	SYM
cana-3244	136	42	tan	tan	ADJ
cana-3244	136	43	1	1	NUM
cana-3244	136	44	exp	exp	NOUN
cana-3244	136	45	(	(	PUNCT
cana-3244	136	46	2	2	NUM
cana-3244	136	47	)	)	PUNCT
cana-3244	136	48	x	x	SYM
cana-3244	137	1	f	f	PROPN
cana-3244	137	2	x	x	SYM
cana-3244	137	3	hyperbolic	hyperbolic	ADJ
cana-3244	137	4	gent	gent	NOUN
cana-3244	137	5	function	function	NOUN
cana-3244	137	6	x	x	X
cana-3244	137	7	−	−	NOUN
cana-3244	138	1	−	−	PROPN
cana-3244	139	1	=	=	SYM
cana-3244	140	1	+	+	NUM
cana-3244	140	2	−	−	PROPN
cana-3244	140	3	(	(	PUNCT
cana-3244	140	4	3	3	NUM
cana-3244	140	5	)	)	PUNCT
cana-3244	140	6	communications	communication	NOUN
cana-3244	140	7	on	on	ADP
cana-3244	140	8	applied	apply	VERB
cana-3244	140	9	nonlinear	nonlinear	ADJ
cana-3244	140	10	analysis	analysis	NOUN
cana-3244	140	11	issn	issn	NOUN
cana-3244	140	12	:	:	PUNCT
cana-3244	140	13	1074	1074	NUM
cana-3244	140	14	-	-	PUNCT
cana-3244	140	15	133x	133x	NUM
cana-3244	140	16	vol	vol	NOUN
cana-3244	140	17	32	32	NUM
cana-3244	140	18	no	no	NOUN
cana-3244	140	19	.	.	PUNCT
cana-3244	141	1	6s	6s	NUM
cana-3244	141	2	(	(	PUNCT
cana-3244	141	3	2025	2025	NUM
cana-3244	141	4	)	)	PUNCT
cana-3244	141	5	60	60	NUM
cana-3244	141	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	141	7	0	0	PUNCT
cana-3244	141	8	0	0	NUM
cana-3244	141	9	(	(	PUNCT
cana-3244	141	10	)	)	PUNCT
cana-3244	141	11	max	max	PROPN
cana-3244	141	12	(	(	PUNCT
cana-3244	141	13	,	,	PUNCT
cana-3244	141	14	)	)	PUNCT
cana-3244	141	15	.	.	PUNCT
cana-3244	142	1	(	(	PUNCT
cana-3244	142	2	)	)	PUNCT
cana-3244	142	3	/	/	SYM
cana-3244	142	4	/	/	SYM
cana-3244	142	5	re	re	NOUN
cana-3244	142	6	0	0	NOUN
cana-3244	143	1	if	if	SCONJ
cana-3244	143	2	r	r	NOUN
cana-3244	143	3	r	r	NOUN
cana-3244	143	4	x	x	NOUN
cana-3244	144	1	o	o	NOUN
cana-3244	144	2	x	x	X
cana-3244	145	1	i	i	NOUN
cana-3244	145	2	e	e	NOUN
cana-3244	145	3	r	r	NOUN
cana-3244	145	4	x	x	X
cana-3244	145	5	lu	lu	NOUN
cana-3244	145	6	x	x	INTJ
cana-3244	145	7	if	if	SCONJ
cana-3244	145	8	r	r	NOUN
cana-3244	145	9			NOUN
cana-3244	145	10	=	=	SYM
cana-3244	145	11	=	=	SYM
cana-3244	145	12			PROPN
cana-3244	145	13			PROPN
cana-3244	145	14	(	(	PUNCT
cana-3244	145	15	4	4	NUM
cana-3244	145	16	)	)	SYM
cana-3244	145	17	4	4	NUM
cana-3244	145	18	.	.	NOUN
cana-3244	145	19	result	result	VERB
cana-3244	145	20	analysis	analysis	NOUN
cana-3244	145	21	the	the	DET
cana-3244	145	22	asamlp	asamlp	NOUN
cana-3244	145	23	model	model	NOUN
cana-3244	145	24	was	be	AUX
cana-3244	145	25	tested	test	VERB
cana-3244	145	26	on	on	ADP
cana-3244	145	27	three	three	NUM
cana-3244	145	28	datasets	dataset	NOUN
cana-3244	145	29	:	:	PUNCT
cana-3244	145	30	sts	st	NOUN
cana-3244	145	31	,	,	PUNCT
cana-3244	145	32	tas	ta	NOUN
cana-3244	145	33	,	,	PUNCT
cana-3244	145	34	and	and	CCONJ
cana-3244	145	35	stc	stc	NOUN
cana-3244	145	36	,	,	PUNCT
cana-3244	145	37	as	as	SCONJ
cana-3244	145	38	detailed	detailed	ADJ
cana-3244	145	39	in	in	ADP
cana-3244	145	40	table	table	NOUN
cana-3244	145	41	1	1	NUM
cana-3244	145	42	.	.	PUNCT
cana-3244	146	1	in	in	ADP
cana-3244	146	2	the	the	DET
cana-3244	146	3	first	first	ADJ
cana-3244	146	4	experiment	experiment	NOUN
cana-3244	146	5	,	,	PUNCT
cana-3244	146	6	association	association	NOUN
cana-3244	146	7	rule	rule	NOUN
cana-3244	146	8	mining	mining	NOUN
cana-3244	146	9	(	(	PUNCT
cana-3244	146	10	arm	arm	NOUN
cana-3244	146	11	)	)	PUNCT
cana-3244	146	12	extracted	extract	VERB
cana-3244	146	13	explicit	explicit	ADJ
cana-3244	146	14	aspects	aspect	NOUN
cana-3244	146	15	using	use	VERB
cana-3244	146	16	nouns	noun	NOUN
cana-3244	146	17	and	and	CCONJ
cana-3244	146	18	verbs	verb	NOUN
cana-3244	146	19	.	.	PROPN
cana-3244	147	1	for	for	ADP
cana-3244	147	2	the	the	DET
cana-3244	147	3	second	second	ADJ
cana-3244	147	4	experiment	experiment	NOUN
cana-3244	147	5	,	,	PUNCT
cana-3244	147	6	pos	pos	VERB
cana-3244	147	7	tags	tag	NOUN
cana-3244	147	8	were	be	AUX
cana-3244	147	9	combined	combine	VERB
cana-3244	147	10	with	with	ADP
cana-3244	147	11	arm	arm	NOUN
cana-3244	147	12	to	to	PART
cana-3244	147	13	identify	identify	VERB
cana-3244	147	14	multi	multi	ADJ
cana-3244	147	15	-	-	ADJ
cana-3244	147	16	word	word	ADJ
cana-3244	147	17	aspects	aspect	NOUN
cana-3244	147	18	.	.	PUNCT
cana-3244	148	1	different	different	ADJ
cana-3244	148	2	categories	category	NOUN
cana-3244	148	3	,	,	PUNCT
cana-3244	148	4	including	include	VERB
cana-3244	148	5	“	"	PUNCT
cana-3244	148	6	north	north	NOUN
cana-3244	148	7	,	,	PUNCT
cana-3244	148	8	”	"	PUNCT
cana-3244	148	9	“	"	PUNCT
cana-3244	148	10	yankees	yankee	NOUN
cana-3244	148	11	,	,	PUNCT
cana-3244	148	12	”	"	PUNCT
cana-3244	148	13	“	"	PUNCT
cana-3244	148	14	cheney	cheney	NOUN
cana-3244	148	15	,	,	PUNCT
cana-3244	148	16	”	"	PUNCT
cana-3244	148	17	“	"	PUNCT
cana-3244	148	18	jquery	jquery	NOUN
cana-3244	148	19	,	,	PUNCT
cana-3244	148	20	”	"	PUNCT
cana-3244	148	21	and	and	CCONJ
cana-3244	148	22	“	"	PUNCT
cana-3244	148	23	startrek	startrek	NOUN
cana-3244	148	24	,	,	PUNCT
cana-3244	148	25	”	"	PUNCT
cana-3244	148	26	were	be	AUX
cana-3244	148	27	successfully	successfully	ADV
cana-3244	148	28	classified	classify	VERB
cana-3244	148	29	by	by	ADP
cana-3244	148	30	this	this	DET
cana-3244	148	31	approach	approach	NOUN
cana-3244	148	32	.	.	PUNCT
cana-3244	149	1	improved	improve	VERB
cana-3244	149	2	results	result	NOUN
cana-3244	149	3	were	be	AUX
cana-3244	149	4	obtained	obtain	VERB
cana-3244	149	5	by	by	ADP
cana-3244	149	6	integrating	integrate	VERB
cana-3244	149	7	pos	pos	NOUN
cana-3244	149	8	tagging	tagging	NOUN
cana-3244	149	9	with	with	ADP
cana-3244	149	10	arm	arm	NOUN
cana-3244	149	11	.	.	PUNCT
cana-3244	150	1	binary	binary	ADJ
cana-3244	150	2	values	value	NOUN
cana-3244	150	3	—	—	PUNCT
cana-3244	150	4	positive	positive	ADJ
cana-3244	150	5	or	or	CCONJ
cana-3244	150	6	negative	negative	ADJ
cana-3244	150	7	—	—	PUNCT
cana-3244	150	8	were	be	AUX
cana-3244	150	9	used	use	VERB
cana-3244	150	10	for	for	ADP
cana-3244	150	11	sentiment	sentiment	NOUN
cana-3244	150	12	classification	classification	NOUN
cana-3244	150	13	.	.	PUNCT
cana-3244	151	1	precision	precision	NOUN
cana-3244	151	2	and	and	CCONJ
cana-3244	151	3	recall	recall	PROPN
cana-3244	151	4	measured	measure	VERB
cana-3244	151	5	the	the	DET
cana-3244	151	6	accuracy	accuracy	NOUN
cana-3244	151	7	of	of	ADP
cana-3244	151	8	the	the	DET
cana-3244	151	9	classification	classification	NOUN
cana-3244	151	10	system	system	NOUN
cana-3244	151	11	.	.	PUNCT
cana-3244	152	1	a	a	DET
cana-3244	152	2	confusion	confusion	NOUN
cana-3244	152	3	matrix	matrix	NOUN
cana-3244	152	4	further	far	ADV
cana-3244	152	5	analyzed	analyze	VERB
cana-3244	152	6	performance	performance	NOUN
cana-3244	152	7	using	use	VERB
cana-3244	152	8	false	false	ADJ
cana-3244	152	9	positives	positive	NOUN
cana-3244	152	10	,	,	PUNCT
cana-3244	152	11	false	false	ADJ
cana-3244	152	12	negatives	negative	NOUN
cana-3244	152	13	,	,	PUNCT
cana-3244	152	14	and	and	CCONJ
cana-3244	152	15	true	true	ADJ
cana-3244	152	16	negatives	negative	NOUN
cana-3244	152	17	.	.	PUNCT
cana-3244	153	1	evaluating	evaluate	VERB
cana-3244	153	2	sentiment	sentiment	NOUN
cana-3244	153	3	accuracy	accuracy	NOUN
cana-3244	153	4	involved	involve	VERB
cana-3244	153	5	these	these	DET
cana-3244	153	6	detailed	detailed	ADJ
cana-3244	153	7	metrics	metric	NOUN
cana-3244	153	8	.	.	PUNCT
cana-3244	154	1	the	the	DET
cana-3244	154	2	method	method	NOUN
cana-3244	154	3	was	be	AUX
cana-3244	154	4	compared	compare	VERB
cana-3244	154	5	against	against	ADP
cana-3244	154	6	models	model	NOUN
cana-3244	154	7	proposed	propose	VERB
cana-3244	154	8	by	by	ADP
cana-3244	154	9	kim	kim	PROPN
cana-3244	155	1	[	[	X
cana-3244	155	2	25	25	NUM
cana-3244	155	3	]	]	PUNCT
cana-3244	155	4	and	and	CCONJ
cana-3244	155	5	zhang	zhang	PROPN
cana-3244	155	6	et	et	PROPN
cana-3244	155	7	al	al	PROPN
cana-3244	155	8	.	.	PUNCT
cana-3244	156	1	[	[	X
cana-3244	156	2	26	26	NUM
cana-3244	156	3	]	]	PUNCT
cana-3244	156	4	.	.	PUNCT
cana-3244	157	1	figures	figure	NOUN
cana-3244	157	2	3	3	NUM
cana-3244	157	3	,	,	PUNCT
cana-3244	157	4	4	4	NUM
cana-3244	157	5	,	,	PUNCT
cana-3244	157	6	and	and	CCONJ
cana-3244	157	7	5	5	NUM
cana-3244	157	8	display	display	NOUN
cana-3244	157	9	precision	precision	NOUN
cana-3244	157	10	,	,	PUNCT
cana-3244	157	11	recall	recall	NOUN
cana-3244	157	12	,	,	PUNCT
cana-3244	157	13	and	and	CCONJ
cana-3244	157	14	f	f	X
cana-3244	157	15	-	-	PUNCT
cana-3244	157	16	score	score	NOUN
cana-3244	157	17	results	result	NOUN
cana-3244	157	18	for	for	ADP
cana-3244	157	19	the	the	DET
cana-3244	157	20	sts	st	NOUN
cana-3244	157	21	,	,	PUNCT
cana-3244	157	22	tas	ta	NOUN
cana-3244	157	23	,	,	PUNCT
cana-3244	157	24	and	and	CCONJ
cana-3244	157	25	stc	stc	PROPN
cana-3244	157	26	datasets	dataset	NOUN
cana-3244	157	27	,	,	PUNCT
cana-3244	157	28	respectively	respectively	ADV
cana-3244	157	29	.	.	PUNCT
cana-3244	158	1	higher	high	ADJ
cana-3244	158	2	values	value	NOUN
cana-3244	158	3	were	be	AUX
cana-3244	158	4	achieved	achieve	VERB
cana-3244	158	5	by	by	ADP
cana-3244	158	6	the	the	DET
cana-3244	158	7	proposed	propose	VERB
cana-3244	158	8	approach	approach	NOUN
cana-3244	158	9	than	than	ADP
cana-3244	158	10	those	those	PRON
cana-3244	158	11	obtained	obtain	VERB
cana-3244	158	12	by	by	ADP
cana-3244	158	13	kim	kim	PROPN
cana-3244	159	1	[	[	X
cana-3244	159	2	25	25	NUM
cana-3244	159	3	]	]	PUNCT
cana-3244	159	4	and	and	CCONJ
cana-3244	159	5	zhang	zhang	PROPN
cana-3244	159	6	et	et	PROPN
cana-3244	159	7	al	al	PROPN
cana-3244	159	8	.	.	PUNCT
cana-3244	160	1	[	[	X
cana-3244	160	2	26	26	NUM
cana-3244	160	3	]	]	PUNCT
cana-3244	160	4	.	.	PUNCT
cana-3244	161	1	this	this	DET
cana-3244	161	2	outcome	outcome	NOUN
cana-3244	161	3	shows	show	VERB
cana-3244	161	4	that	that	SCONJ
cana-3244	161	5	combining	combine	VERB
cana-3244	161	6	arm	arm	NOUN
cana-3244	161	7	with	with	ADP
cana-3244	161	8	pos	pos	NOUN
cana-3244	161	9	tags	tag	NOUN
cana-3244	161	10	enhances	enhance	VERB
cana-3244	161	11	classification	classification	NOUN
cana-3244	161	12	accuracy	accuracy	NOUN
cana-3244	161	13	by	by	ADP
cana-3244	161	14	capturing	capture	VERB
cana-3244	161	15	details	detail	NOUN
cana-3244	161	16	that	that	SCONJ
cana-3244	161	17	single	single	ADJ
cana-3244	161	18	methods	method	NOUN
cana-3244	161	19	might	might	AUX
cana-3244	161	20	overlook	overlook	VERB
cana-3244	161	21	.	.	PUNCT
cana-3244	162	1	table	table	NOUN
cana-3244	162	2	2	2	NUM
cana-3244	162	3	:	:	PUNCT
cana-3244	162	4	analysis	analysis	NOUN
cana-3244	162	5	of	of	ADP
cana-3244	162	6	the	the	DET
cana-3244	162	7	proposed	propose	VERB
cana-3244	162	8	framework	framework	NOUN
cana-3244	162	9	on	on	ADP
cana-3244	162	10	sts	st	NOUN
cana-3244	162	11	dataset	dataset	NOUN
cana-3244	162	12	sl	sl	NOUN
cana-3244	162	13	.	.	PUNCT
cana-3244	163	1	no	no	INTJ
cana-3244	163	2	.	.	PUNCT
cana-3244	164	1	name	name	NOUN
cana-3244	164	2	of	of	ADP
cana-3244	164	3	the	the	DET
cana-3244	164	4	approach	approach	NOUN
cana-3244	164	5	features	feature	VERB
cana-3244	164	6	precision	precision	NOUN
cana-3244	164	7	recall	recall	NOUN
cana-3244	164	8	f	f	NOUN
cana-3244	164	9	-	-	PUNCT
cana-3244	164	10	score	score	NOUN
cana-3244	164	11	accuracy	accuracy	NOUN
cana-3244	164	12	1	1	NUM
cana-3244	164	13	proposed	propose	VERB
cana-3244	164	14	method	method	NOUN
cana-3244	164	15	pos	pos	NOUN
cana-3244	164	16	tags	tag	NOUN
cana-3244	164	17	+	+	CCONJ
cana-3244	164	18	unigram	unigram	NOUN
cana-3244	164	19	0.851	0.851	NUM
cana-3244	164	20	0.847	0.847	NUM
cana-3244	164	21	0.848	0.848	NUM
cana-3244	164	22	84.72	84.72	NUM
cana-3244	164	23	2	2	NUM
cana-3244	164	24	asa+svc	asa+svc	NOUN
cana-3244	164	25	pos	pos	NOUN
cana-3244	164	26	tags	tag	NOUN
cana-3244	164	27	+	+	CCONJ
cana-3244	164	28	unigram	unigram	NOUN
cana-3244	164	29	0.812	0.812	NUM
cana-3244	164	30	0.805	0.805	NUM
cana-3244	164	31	0.808	0.808	NUM
cana-3244	164	32	80.55	80.55	NUM
cana-3244	164	33	3	3	NUM
cana-3244	164	34	asa+rf	asa+rf	NOUN
cana-3244	164	35	pos	pos	NOUN
cana-3244	164	36	tags	tag	NOUN
cana-3244	164	37	+	+	CCONJ
cana-3244	164	38	unigram	unigram	NOUN
cana-3244	164	39	0.802	0.802	NUM
cana-3244	164	40	0.791	0.791	NUM
cana-3244	164	41	0.796	0.796	NUM
cana-3244	164	42	79.16	79.16	NUM
cana-3244	164	43	4	4	NUM
cana-3244	164	44	asa+kn	asa+kn	ADJ
cana-3244	164	45	pos	pos	NOUN
cana-3244	164	46	tags	tag	NOUN
cana-3244	164	47	+	+	CCONJ
cana-3244	164	48	unigram	unigram	NOUN
cana-3244	164	49	0.722	0.722	NUM
cana-3244	164	50	0.761	0.761	NUM
cana-3244	164	51	0.740	0.740	NUM
cana-3244	164	52	76.16	76.16	NUM
cana-3244	164	53	5	5	NUM
cana-3244	164	54	asa+ab	asa+ab	PROPN
cana-3244	164	55	pos	pos	NOUN
cana-3244	164	56	tags	tag	NOUN
cana-3244	164	57	+	+	CCONJ
cana-3244	164	58	unigram	unigram	NOUN
cana-3244	164	59	0.812	0.812	NUM
cana-3244	164	60	0.805	0.805	NUM
cana-3244	164	61	0.808	0.808	NUM
cana-3244	164	62	80.55	80.55	NUM
cana-3244	164	63	6	6	NUM
cana-3244	164	64	kim	kim	PROPN
cana-3244	164	65	’s	’s	PART
cana-3244	164	66	[	[	X
cana-3244	164	67	25	25	NUM
cana-3244	164	68	]	]	PUNCT
cana-3244	164	69	pos	pos	VERB
cana-3244	164	70	tags	tag	NOUN
cana-3244	164	71	+	+	CCONJ
cana-3244	164	72	unigram	unigram	NOUN
cana-3244	164	73	0.824	0.824	NUM
cana-3244	164	74	0.781	0.781	NUM
cana-3244	164	75	0.801	0.801	NUM
cana-3244	164	76	80.85	80.85	NUM
cana-3244	164	77	7	7	NUM
cana-3244	164	78	zhang	zhang	PROPN
cana-3244	164	79	et	et	PROPN
cana-3244	164	80	al	al	PROPN
cana-3244	164	81	.	.	PROPN
cana-3244	164	82	’s	’s	PART
cana-3244	165	1	[	[	X
cana-3244	165	2	26	26	NUM
cana-3244	165	3	]	]	PUNCT
cana-3244	165	4	pos	pos	VERB
cana-3244	165	5	tags	tag	NOUN
cana-3244	165	6	+	+	CCONJ
cana-3244	165	7	unigram	unigram	NOUN
cana-3244	165	8	0.742	0.742	NUM
cana-3244	165	9	0.723	0.723	NUM
cana-3244	165	10	0.732	0.732	NUM
cana-3244	165	11	77.28	77.28	NUM
cana-3244	165	12	kim	kim	PROPN
cana-3244	165	13	's	's	PART
cana-3244	165	14	[	[	X
cana-3244	165	15	25	25	NUM
cana-3244	165	16	]	]	PUNCT
cana-3244	165	17	zhanget	zhanget	PROPN
cana-3244	165	18	al	al	PROPN
cana-3244	165	19	.	.	PROPN
cana-3244	165	20	's	's	PART
cana-3244	166	1	[	[	X
cana-3244	166	2	26	26	NUM
cana-3244	166	3	]	]	PUNCT
cana-3244	166	4	proposed	propose	VERB
cana-3244	166	5	method	method	NOUN
cana-3244	166	6	0.0	0.0	NUM
cana-3244	166	7	0.2	0.2	NUM
cana-3244	166	8	0.4	0.4	NUM
cana-3244	166	9	0.6	0.6	NUM
cana-3244	166	10	0.8	0.8	NUM
cana-3244	166	11	1.0	1.0	NUM
cana-3244	166	12	v	v	ADP
cana-3244	166	13	a	a	DET
cana-3244	166	14	lu	lu	NOUN
cana-3244	166	15	e	e	NOUN
cana-3244	166	16	approach	approach	NOUN
cana-3244	166	17	precision	precision	NOUN
cana-3244	166	18	recall	recall	VERB
cana-3244	166	19	f	f	NOUN
cana-3244	166	20	-	-	PUNCT
cana-3244	166	21	score	score	NOUN
cana-3244	166	22	figure	figure	NOUN
cana-3244	166	23	3	3	NUM
cana-3244	166	24	:	:	PUNCT
cana-3244	166	25	precision	precision	NOUN
cana-3244	166	26	,	,	PUNCT
cana-3244	166	27	recall	recall	NOUN
cana-3244	166	28	and	and	CCONJ
cana-3244	166	29	f	f	NUM
cana-3244	166	30	-	-	PUNCT
cana-3244	166	31	score	score	NOUN
cana-3244	166	32	value	value	NOUN
cana-3244	166	33	of	of	ADP
cana-3244	166	34	sts	st	NOUN
cana-3244	166	35	dataset	dataset	NOUN
cana-3244	166	36	communications	communication	NOUN
cana-3244	166	37	on	on	ADP
cana-3244	166	38	applied	apply	VERB
cana-3244	166	39	nonlinear	nonlinear	ADJ
cana-3244	166	40	analysis	analysis	NOUN
cana-3244	166	41	issn	issn	NOUN
cana-3244	166	42	:	:	PUNCT
cana-3244	166	43	1074	1074	NUM
cana-3244	166	44	-	-	PUNCT
cana-3244	166	45	133x	133x	NUM
cana-3244	166	46	vol	vol	NOUN
cana-3244	166	47	32	32	NUM
cana-3244	166	48	no	no	NOUN
cana-3244	166	49	.	.	PUNCT
cana-3244	167	1	6s	6s	NUM
cana-3244	167	2	(	(	PUNCT
cana-3244	167	3	2025	2025	NUM
cana-3244	167	4	)	)	PUNCT
cana-3244	167	5	61	61	NUM
cana-3244	167	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	167	7	table	table	NOUN
cana-3244	167	8	3	3	NUM
cana-3244	167	9	:	:	PUNCT
cana-3244	167	10	analysis	analysis	NOUN
cana-3244	167	11	of	of	ADP
cana-3244	167	12	the	the	DET
cana-3244	167	13	proposed	propose	VERB
cana-3244	167	14	framework	framework	NOUN
cana-3244	167	15	on	on	ADP
cana-3244	167	16	tas	tas	PROPN
cana-3244	167	17	dataset	dataset	PROPN
cana-3244	167	18	sl	sl	INTJ
cana-3244	167	19	.	.	PUNCT
cana-3244	168	1	no	no	INTJ
cana-3244	168	2	.	.	PUNCT
cana-3244	169	1	name	name	NOUN
cana-3244	169	2	of	of	ADP
cana-3244	169	3	the	the	DET
cana-3244	169	4	approach	approach	NOUN
cana-3244	169	5	features	feature	VERB
cana-3244	169	6	precision	precision	NOUN
cana-3244	169	7	recall	recall	NOUN
cana-3244	169	8	f	f	NOUN
cana-3244	169	9	-	-	PUNCT
cana-3244	169	10	score	score	NOUN
cana-3244	169	11	accuracy	accuracy	NOUN
cana-3244	169	12	1	1	NUM
cana-3244	169	13	proposed	propose	VERB
cana-3244	169	14	method	method	NOUN
cana-3244	169	15	pos	pos	NOUN
cana-3244	169	16	tags	tag	NOUN
cana-3244	169	17	+	+	CCONJ
cana-3244	169	18	unigram	unigram	NOUN
cana-3244	169	19	0.833	0.833	NUM
cana-3244	169	20	0.84	0.84	NUM
cana-3244	169	21	0.836	0.836	NUM
cana-3244	169	22	84.09	84.09	NUM
cana-3244	169	23	2	2	NUM
cana-3244	169	24	asa+svc	asa+svc	NOUN
cana-3244	169	25	pos	pos	NOUN
cana-3244	169	26	tags	tag	NOUN
cana-3244	169	27	+	+	CCONJ
cana-3244	169	28	unigram	unigram	NOUN
cana-3244	169	29	0.773	0.773	NUM
cana-3244	169	30	0.764	0.764	NUM
cana-3244	169	31	0.768	0.768	NUM
cana-3244	169	32	78.43	78.43	NUM
cana-3244	169	33	3	3	NUM
cana-3244	169	34	asa+rf	asa+rf	NOUN
cana-3244	169	35	pos	pos	NOUN
cana-3244	169	36	tags	tag	NOUN
cana-3244	169	37	+	+	CCONJ
cana-3244	169	38	unigram	unigram	NOUN
cana-3244	169	39	0.792	0.792	NUM
cana-3244	169	40	0.803	0.803	NUM
cana-3244	169	41	0.797	0.797	NUM
cana-3244	169	42	80.33	80.33	NUM
cana-3244	169	43	4	4	NUM
cana-3244	169	44	asa+kn	asa+kn	ADJ
cana-3244	169	45	pos	pos	NOUN
cana-3244	169	46	tags	tag	NOUN
cana-3244	169	47	+	+	CCONJ
cana-3244	169	48	unigram	unigram	NOUN
cana-3244	169	49	0.815	0.815	NUM
cana-3244	169	50	0.827	0.827	NUM
cana-3244	169	51	0.820	0.820	NUM
cana-3244	169	52	82.12	82.12	NUM
cana-3244	169	53	5	5	NUM
cana-3244	169	54	asa+ab	asa+ab	PROPN
cana-3244	169	55	pos	pos	NOUN
cana-3244	169	56	tags	tag	NOUN
cana-3244	169	57	+	+	CCONJ
cana-3244	169	58	unigram	unigram	NOUN
cana-3244	169	59	0.815	0.815	NUM
cana-3244	169	60	0.818	0.818	NUM
cana-3244	169	61	0.816	0.816	NUM
cana-3244	169	62	80.16	80.16	NUM
cana-3244	169	63	6	6	NUM
cana-3244	170	1	kim	kim	PROPN
cana-3244	170	2	’s	’s	PART
cana-3244	170	3	[	[	X
cana-3244	170	4	25	25	NUM
cana-3244	170	5	]	]	PUNCT
cana-3244	170	6	pos	pos	VERB
cana-3244	170	7	tags	tag	NOUN
cana-3244	170	8	+	+	CCONJ
cana-3244	170	9	unigram	unigram	NOUN
cana-3244	170	10	0.813	0.813	NUM
cana-3244	170	11	0.742	0.742	NUM
cana-3244	170	12	0.775	0.775	NUM
cana-3244	170	13	79.25	79.25	NUM
cana-3244	170	14	7	7	NUM
cana-3244	170	15	zhang	zhang	PROPN
cana-3244	170	16	et	et	PROPN
cana-3244	170	17	al	al	PROPN
cana-3244	170	18	.	.	PROPN
cana-3244	170	19	’s	’s	PART
cana-3244	171	1	[	[	X
cana-3244	171	2	26	26	NUM
cana-3244	171	3	]	]	PUNCT
cana-3244	171	4	pos	pos	VERB
cana-3244	171	5	tags	tag	NOUN
cana-3244	171	6	+	+	CCONJ
cana-3244	171	7	unigram	unigram	NOUN
cana-3244	171	8	0.726	0.726	NUM
cana-3244	171	9	0.714	0.714	NUM
cana-3244	171	10	0.719	0.719	NUM
cana-3244	171	11	76.34	76.34	NUM
cana-3244	171	12	kim	kim	PROPN
cana-3244	171	13	's	's	PART
cana-3244	171	14	[	[	X
cana-3244	171	15	25	25	NUM
cana-3244	171	16	]	]	PUNCT
cana-3244	171	17	zhanget	zhanget	PROPN
cana-3244	171	18	al	al	PROPN
cana-3244	171	19	.	.	PROPN
cana-3244	171	20	's	's	PART
cana-3244	172	1	[	[	X
cana-3244	172	2	26	26	NUM
cana-3244	172	3	]	]	PUNCT
cana-3244	172	4	proposed	propose	VERB
cana-3244	172	5	method	method	NOUN
cana-3244	172	6	0.0	0.0	NUM
cana-3244	172	7	0.2	0.2	NUM
cana-3244	172	8	0.4	0.4	NUM
cana-3244	172	9	0.6	0.6	NUM
cana-3244	172	10	0.8	0.8	NUM
cana-3244	172	11	1.0	1.0	NUM
cana-3244	172	12	v	v	ADP
cana-3244	172	13	a	a	DET
cana-3244	172	14	lu	lu	NOUN
cana-3244	172	15	e	e	NOUN
cana-3244	172	16	approach	approach	NOUN
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cana-3244	172	18	recall	recall	VERB
cana-3244	172	19	f	f	NOUN
cana-3244	172	20	-	-	PUNCT
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cana-3244	172	22	figure	figure	NOUN
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cana-3244	172	24	:	:	PUNCT
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cana-3244	172	26	,	,	PUNCT
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cana-3244	172	28	and	and	CCONJ
cana-3244	172	29	f	f	NUM
cana-3244	172	30	-	-	PUNCT
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cana-3244	172	34	tas	tas	NOUN
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cana-3244	172	36	table	table	NOUN
cana-3244	172	37	4	4	NUM
cana-3244	172	38	:	:	PUNCT
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cana-3244	172	45	stc	stc	NOUN
cana-3244	172	46	dataset	dataset	PROPN
cana-3244	172	47	sl	sl	NOUN
cana-3244	172	48	.	.	PUNCT
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cana-3244	173	2	.	.	PUNCT
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cana-3244	174	7	recall	recall	NOUN
cana-3244	174	8	f	f	NOUN
cana-3244	174	9	-	-	PUNCT
cana-3244	174	10	score	score	NOUN
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cana-3244	174	12	1	1	NUM
cana-3244	174	13	proposed	propose	VERB
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cana-3244	174	15	pos	pos	NOUN
cana-3244	174	16	tags	tag	NOUN
cana-3244	174	17	+	+	CCONJ
cana-3244	174	18	unigram	unigram	NOUN
cana-3244	174	19	0.79	0.79	NUM
cana-3244	174	20	0.789	0.789	NUM
cana-3244	174	21	0.789	0.789	NUM
cana-3244	174	22	78.99	78.99	NUM
cana-3244	174	23	2	2	NUM
cana-3244	174	24	asa+svc	asa+svc	NOUN
cana-3244	174	25	pos	pos	NOUN
cana-3244	174	26	tags	tag	NOUN
cana-3244	174	27	+	+	CCONJ
cana-3244	174	28	unigram	unigram	NOUN
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cana-3244	174	30	0.757	0.757	NUM
cana-3244	174	31	0.757	0.757	NUM
cana-3244	174	32	75.79	75.79	NUM
cana-3244	174	33	3	3	NUM
cana-3244	174	34	asa+rf	asa+rf	NOUN
cana-3244	174	35	pos	pos	NOUN
cana-3244	174	36	tags	tag	NOUN
cana-3244	174	37	+	+	CCONJ
cana-3244	174	38	unigram	unigram	NOUN
cana-3244	174	39	0.712	0.712	NUM
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cana-3244	174	41	0.716	0.716	NUM
cana-3244	174	42	72.08	72.08	NUM
cana-3244	174	43	4	4	NUM
cana-3244	174	44	asa+kn	asa+kn	ADJ
cana-3244	174	45	pos	pos	NOUN
cana-3244	174	46	tags	tag	NOUN
cana-3244	174	47	+	+	CCONJ
cana-3244	174	48	unigram	unigram	NOUN
cana-3244	174	49	0.714	0.714	NUM
cana-3244	174	50	0.721	0.721	NUM
cana-3244	174	51	0.717	0.717	NUM
cana-3244	174	52	70.16	70.16	NUM
cana-3244	174	53	5	5	NUM
cana-3244	174	54	asa+ab	asa+ab	NOUN
cana-3244	174	55	pos	pos	NOUN
cana-3244	174	56	tags	tag	NOUN
cana-3244	174	57	+	+	CCONJ
cana-3244	174	58	unigram	unigram	NOUN
cana-3244	175	1	0.755	0.755	NUM
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cana-3244	175	3	0.752	0.752	NUM
cana-3244	175	4	75.34	75.34	NUM
cana-3244	175	5	6	6	NUM
cana-3244	175	6	kim	kim	PROPN
cana-3244	175	7	’s	’s	PART
cana-3244	175	8	[	[	X
cana-3244	175	9	25	25	NUM
cana-3244	175	10	]	]	PUNCT
cana-3244	175	11	pos	pos	VERB
cana-3244	175	12	tags	tag	NOUN
cana-3244	175	13	+	+	CCONJ
cana-3244	175	14	unigram	unigram	NOUN
cana-3244	175	15	0.743	0.743	NUM
cana-3244	175	16	0.718	0.718	NUM
cana-3244	175	17	0.730	0.730	NUM
cana-3244	175	18	72.35	72.35	NUM
cana-3244	175	19	7	7	NUM
cana-3244	175	20	zhang	zhang	PROPN
cana-3244	175	21	et	et	PROPN
cana-3244	175	22	al	al	PROPN
cana-3244	175	23	.	.	PROPN
cana-3244	175	24	’s	’s	PART
cana-3244	176	1	[	[	X
cana-3244	176	2	26	26	NUM
cana-3244	176	3	]	]	PUNCT
cana-3244	176	4	pos	pos	VERB
cana-3244	176	5	tags	tag	NOUN
cana-3244	176	6	+	+	CCONJ
cana-3244	176	7	unigram	unigram	NOUN
cana-3244	176	8	0.684	0.684	NUM
cana-3244	176	9	0.657	0.657	NUM
cana-3244	176	10	0.670	0.670	NUM
cana-3244	176	11	68.32	68.32	NUM
cana-3244	176	12	kim	kim	PROPN
cana-3244	176	13	's	's	PART
cana-3244	176	14	[	[	X
cana-3244	176	15	25	25	NUM
cana-3244	176	16	]	]	PUNCT
cana-3244	176	17	zhanget	zhanget	PROPN
cana-3244	176	18	al	al	PROPN
cana-3244	176	19	.	.	PROPN
cana-3244	176	20	's	's	PART
cana-3244	177	1	[	[	X
cana-3244	177	2	26	26	NUM
cana-3244	177	3	]	]	PUNCT
cana-3244	177	4	proposed	propose	VERB
cana-3244	177	5	method	method	NOUN
cana-3244	177	6	0.0	0.0	NUM
cana-3244	177	7	0.2	0.2	NUM
cana-3244	177	8	0.4	0.4	NUM
cana-3244	177	9	0.6	0.6	NUM
cana-3244	177	10	0.8	0.8	NUM
cana-3244	177	11	1.0	1.0	NUM
cana-3244	177	12	v	v	ADP
cana-3244	177	13	a	a	DET
cana-3244	177	14	lu	lu	NOUN
cana-3244	177	15	e	e	NOUN
cana-3244	177	16	approach	approach	NOUN
cana-3244	177	17	precision	precision	NOUN
cana-3244	177	18	recall	recall	VERB
cana-3244	177	19	f	f	NOUN
cana-3244	177	20	-	-	PUNCT
cana-3244	177	21	score	score	NOUN
cana-3244	177	22	figure	figure	NOUN
cana-3244	177	23	6	6	NUM
cana-3244	177	24	:	:	PUNCT
cana-3244	177	25	precision	precision	NOUN
cana-3244	177	26	,	,	PUNCT
cana-3244	177	27	recall	recall	NOUN
cana-3244	177	28	and	and	CCONJ
cana-3244	177	29	f	f	NUM
cana-3244	177	30	-	-	PUNCT
cana-3244	177	31	score	score	NOUN
cana-3244	177	32	value	value	NOUN
cana-3244	177	33	of	of	ADP
cana-3244	177	34	stc	stc	NOUN
cana-3244	177	35	dataset	dataset	VERB
cana-3244	177	36	the	the	DET
cana-3244	177	37	proposed	propose	VERB
cana-3244	177	38	model	model	NOUN
cana-3244	177	39	achieved	achieve	VERB
cana-3244	177	40	84.72	84.72	NUM
cana-3244	177	41	%	%	NOUN
cana-3244	177	42	accuracy	accuracy	NOUN
cana-3244	177	43	in	in	ADP
cana-3244	177	44	the	the	DET
cana-3244	177	45	sts	st	NOUN
cana-3244	177	46	dataset	dataset	NOUN
cana-3244	177	47	,	,	PUNCT
cana-3244	177	48	with	with	ADP
cana-3244	177	49	precision	precision	NOUN
cana-3244	177	50	,	,	PUNCT
cana-3244	177	51	recall	recall	NOUN
cana-3244	177	52	,	,	PUNCT
cana-3244	177	53	and	and	CCONJ
cana-3244	177	54	fscore	fscore	ADV
cana-3244	177	55	recorded	record	VERB
cana-3244	177	56	as	as	ADP
cana-3244	177	57	0.851	0.851	NUM
cana-3244	177	58	,	,	PUNCT
cana-3244	177	59	0.847	0.847	NUM
cana-3244	177	60	,	,	PUNCT
cana-3244	177	61	and	and	CCONJ
cana-3244	177	62	0.848	0.848	NUM
cana-3244	177	63	,	,	PUNCT
cana-3244	177	64	respectively	respectively	ADV
cana-3244	177	65	(	(	PUNCT
cana-3244	177	66	see	see	VERB
cana-3244	177	67	table	table	NOUN
cana-3244	177	68	2	2	NUM
cana-3244	177	69	)	)	PUNCT
cana-3244	177	70	.	.	PUNCT
cana-3244	178	1	for	for	ADP
cana-3244	178	2	the	the	DET
cana-3244	178	3	tas	tas	NOUN
cana-3244	178	4	dataset	dataset	PROPN
cana-3244	178	5	,	,	PUNCT
cana-3244	178	6	the	the	DET
cana-3244	178	7	best	good	ADJ
cana-3244	178	8	accuracy	accuracy	NOUN
cana-3244	178	9	observed	observe	VERB
cana-3244	178	10	was	be	AUX
cana-3244	178	11	84.09	84.09	NUM
cana-3244	178	12	%	%	NOUN
cana-3244	178	13	,	,	PUNCT
cana-3244	178	14	along	along	ADP
cana-3244	178	15	with	with	ADP
cana-3244	178	16	precision	precision	NOUN
cana-3244	178	17	of	of	ADP
cana-3244	178	18	0.833	0.833	NUM
cana-3244	178	19	,	,	PUNCT
cana-3244	178	20	recall	recall	NOUN
cana-3244	178	21	of	of	ADP
cana-3244	178	22	0.840	0.840	NUM
cana-3244	178	23	,	,	PUNCT
cana-3244	178	24	and	and	CCONJ
cana-3244	178	25	an	an	DET
cana-3244	178	26	f	f	NOUN
cana-3244	178	27	-	-	PUNCT
cana-3244	178	28	score	score	NOUN
cana-3244	178	29	of	of	ADP
cana-3244	178	30	communications	communication	NOUN
cana-3244	178	31	on	on	ADP
cana-3244	178	32	applied	apply	VERB
cana-3244	178	33	nonlinear	nonlinear	ADJ
cana-3244	178	34	analysis	analysis	NOUN
cana-3244	178	35	issn	issn	NOUN
cana-3244	178	36	:	:	PUNCT
cana-3244	178	37	1074	1074	NUM
cana-3244	178	38	-	-	PUNCT
cana-3244	178	39	133x	133x	NUM
cana-3244	178	40	vol	vol	NOUN
cana-3244	178	41	32	32	NUM
cana-3244	178	42	no	no	NOUN
cana-3244	178	43	.	.	PUNCT
cana-3244	179	1	6s	6s	NUM
cana-3244	179	2	(	(	PUNCT
cana-3244	179	3	2025	2025	NUM
cana-3244	179	4	)	)	PUNCT
cana-3244	179	5	62	62	NUM
cana-3244	179	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	179	7	0.836	0.836	NUM
cana-3244	179	8	(	(	PUNCT
cana-3244	179	9	see	see	VERB
cana-3244	179	10	table	table	NOUN
cana-3244	179	11	3	3	NUM
cana-3244	179	12	)	)	PUNCT
cana-3244	179	13	.	.	PUNCT
cana-3244	180	1	using	use	VERB
cana-3244	180	2	pos	pos	NOUN
cana-3244	180	3	tags	tag	NOUN
cana-3244	180	4	and	and	CCONJ
cana-3244	180	5	unigram	unigram	NOUN
cana-3244	180	6	features	feature	NOUN
cana-3244	180	7	,	,	PUNCT
cana-3244	180	8	the	the	DET
cana-3244	180	9	model	model	NOUN
cana-3244	180	10	in	in	ADP
cana-3244	180	11	the	the	DET
cana-3244	180	12	stc	stc	NOUN
cana-3244	180	13	dataset	dataset	NOUN
cana-3244	180	14	attained	attain	VERB
cana-3244	180	15	an	an	DET
cana-3244	180	16	average	average	ADJ
cana-3244	180	17	accuracy	accuracy	NOUN
cana-3244	180	18	of	of	ADP
cana-3244	180	19	78.99	78.99	NUM
cana-3244	180	20	%	%	NOUN
cana-3244	180	21	.	.	PUNCT
cana-3244	181	1	precision	precision	NOUN
cana-3244	181	2	,	,	PUNCT
cana-3244	181	3	recall	recall	NOUN
cana-3244	181	4	,	,	PUNCT
cana-3244	181	5	and	and	CCONJ
cana-3244	181	6	f	f	X
cana-3244	181	7	-	-	PUNCT
cana-3244	181	8	score	score	NOUN
cana-3244	181	9	for	for	ADP
cana-3244	181	10	this	this	DET
cana-3244	181	11	dataset	dataset	NOUN
cana-3244	181	12	were	be	AUX
cana-3244	181	13	0.790	0.790	NUM
cana-3244	181	14	,	,	PUNCT
cana-3244	181	15	0.789	0.789	NUM
cana-3244	181	16	,	,	PUNCT
cana-3244	181	17	and	and	CCONJ
cana-3244	181	18	0.789	0.789	NUM
cana-3244	181	19	,	,	PUNCT
cana-3244	181	20	respectively	respectively	ADV
cana-3244	181	21	(	(	PUNCT
cana-3244	181	22	see	see	VERB
cana-3244	181	23	table	table	NOUN
cana-3244	181	24	4	4	NUM
cana-3244	181	25	)	)	PUNCT
cana-3244	181	26	.	.	PUNCT
cana-3244	182	1	5	5	X
cana-3244	182	2	.	.	X
cana-3244	182	3	conclusion	conclusion	NOUN
cana-3244	182	4	this	this	DET
cana-3244	182	5	study	study	NOUN
cana-3244	182	6	introduces	introduce	VERB
cana-3244	182	7	a	a	DET
cana-3244	182	8	hybrid	hybrid	ADJ
cana-3244	182	9	framework	framework	NOUN
cana-3244	182	10	that	that	PRON
cana-3244	182	11	merges	merge	VERB
cana-3244	182	12	aspect	aspect	NOUN
cana-3244	182	13	-	-	PUNCT
cana-3244	182	14	based	base	VERB
cana-3244	182	15	sentiment	sentiment	NOUN
cana-3244	182	16	analysis	analysis	NOUN
cana-3244	182	17	(	(	PUNCT
cana-3244	182	18	absa	absa	PROPN
cana-3244	182	19	)	)	PUNCT
cana-3244	182	20	with	with	ADP
cana-3244	182	21	multi	multi	ADJ
cana-3244	182	22	-	-	ADJ
cana-3244	182	23	level	level	ADJ
cana-3244	182	24	sentiment	sentiment	NOUN
cana-3244	182	25	detection	detection	NOUN
cana-3244	182	26	using	use	VERB
cana-3244	182	27	association	association	NOUN
cana-3244	182	28	rule	rule	NOUN
cana-3244	182	29	mining	mining	NOUN
cana-3244	182	30	(	(	PUNCT
cana-3244	182	31	arm	arm	NOUN
cana-3244	182	32	)	)	PUNCT
cana-3244	182	33	.	.	PUNCT
cana-3244	183	1	pos	pos	NOUN
cana-3244	183	2	tagging	tagging	NOUN
cana-3244	183	3	is	be	AUX
cana-3244	183	4	combined	combine	VERB
cana-3244	183	5	with	with	ADP
cana-3244	183	6	heuristic	heuristic	ADJ
cana-3244	183	7	rules	rule	NOUN
cana-3244	183	8	to	to	PART
cana-3244	183	9	improve	improve	VERB
cana-3244	183	10	the	the	DET
cana-3244	183	11	extraction	extraction	NOUN
cana-3244	183	12	of	of	ADP
cana-3244	183	13	sentiment	sentiment	NOUN
cana-3244	183	14	-	-	PUNCT
cana-3244	183	15	rich	rich	ADJ
cana-3244	183	16	aspects	aspect	NOUN
cana-3244	183	17	from	from	ADP
cana-3244	183	18	the	the	DET
cana-3244	183	19	data	datum	NOUN
cana-3244	183	20	.	.	PUNCT
cana-3244	184	1	implicit	implicit	ADJ
cana-3244	184	2	aspects	aspect	NOUN
cana-3244	184	3	are	be	AUX
cana-3244	184	4	detected	detect	VERB
cana-3244	184	5	using	use	VERB
cana-3244	184	6	the	the	DET
cana-3244	184	7	stanford	stanford	PROPN
cana-3244	184	8	dependency	dependency	NOUN
cana-3244	184	9	parser	parser	NOUN
cana-3244	184	10	(	(	PUNCT
cana-3244	184	11	sdp	sdp	NOUN
cana-3244	184	12	)	)	PUNCT
cana-3244	184	13	by	by	ADP
cana-3244	184	14	analyzing	analyze	VERB
cana-3244	184	15	relationships	relationship	NOUN
cana-3244	184	16	between	between	ADP
cana-3244	184	17	dependencies	dependency	NOUN
cana-3244	184	18	within	within	ADP
cana-3244	184	19	sentences	sentence	NOUN
cana-3244	184	20	.	.	PUNCT
cana-3244	185	1	feature	feature	NOUN
cana-3244	185	2	selection	selection	NOUN
cana-3244	185	3	is	be	AUX
cana-3244	185	4	integrated	integrate	VERB
cana-3244	185	5	into	into	ADP
cana-3244	185	6	the	the	DET
cana-3244	185	7	framework	framework	NOUN
cana-3244	185	8	to	to	PART
cana-3244	185	9	identify	identify	VERB
cana-3244	185	10	and	and	CCONJ
cana-3244	185	11	rank	rank	VERB
cana-3244	185	12	relevant	relevant	ADJ
cana-3244	185	13	elements	element	NOUN
cana-3244	185	14	,	,	PUNCT
cana-3244	185	15	improving	improve	VERB
cana-3244	185	16	classification	classification	NOUN
cana-3244	185	17	outcomes	outcome	NOUN
cana-3244	185	18	.	.	PUNCT
cana-3244	186	1	deep	deep	ADJ
cana-3244	186	2	learning	learning	NOUN
cana-3244	186	3	techniques	technique	NOUN
cana-3244	186	4	embedded	embed	VERB
cana-3244	186	5	in	in	ADP
cana-3244	186	6	the	the	DET
cana-3244	186	7	model	model	NOUN
cana-3244	186	8	support	support	NOUN
cana-3244	186	9	multi	multi	ADJ
cana-3244	186	10	-	-	ADJ
cana-3244	186	11	layer	layer	ADJ
cana-3244	186	12	sentiment	sentiment	NOUN
cana-3244	186	13	classification	classification	NOUN
cana-3244	186	14	.	.	PUNCT
cana-3244	187	1	this	this	DET
cana-3244	187	2	hybrid	hybrid	ADJ
cana-3244	187	3	approach	approach	NOUN
cana-3244	187	4	fills	fill	VERB
cana-3244	187	5	gaps	gap	NOUN
cana-3244	187	6	in	in	ADP
cana-3244	187	7	previous	previous	ADJ
cana-3244	187	8	models	model	NOUN
cana-3244	187	9	by	by	ADP
cana-3244	187	10	balancing	balance	VERB
cana-3244	187	11	linguistic	linguistic	ADJ
cana-3244	187	12	patterns	pattern	NOUN
cana-3244	187	13	and	and	CCONJ
cana-3244	187	14	statistical	statistical	ADJ
cana-3244	187	15	methods	method	NOUN
cana-3244	187	16	,	,	PUNCT
cana-3244	187	17	resulting	result	VERB
cana-3244	187	18	in	in	ADP
cana-3244	187	19	detailed	detailed	ADJ
cana-3244	187	20	extraction	extraction	NOUN
cana-3244	187	21	of	of	ADP
cana-3244	187	22	sentiment	sentiment	NOUN
cana-3244	187	23	from	from	ADP
cana-3244	187	24	complex	complex	ADJ
cana-3244	187	25	datasets	dataset	NOUN
cana-3244	187	26	.	.	PUNCT
cana-3244	188	1	references	reference	NOUN
cana-3244	188	2	[	[	X
cana-3244	188	3	1	1	NUM
cana-3244	188	4	]	]	X
cana-3244	188	5	jang	jang	PROPN
cana-3244	188	6	,	,	PUNCT
cana-3244	188	7	hyeju	hyeju	PROPN
cana-3244	188	8	,	,	PUNCT
cana-3244	188	9	emily	emily	PROPN
cana-3244	188	10	rempel	rempel	PROPN
cana-3244	188	11	,	,	PUNCT
cana-3244	188	12	david	david	PROPN
cana-3244	188	13	roth	roth	PROPN
cana-3244	188	14	,	,	PUNCT
cana-3244	188	15	giuseppe	giuseppe	PROPN
cana-3244	188	16	carenini	carenini	PROPN
cana-3244	188	17	,	,	PUNCT
cana-3244	188	18	and	and	CCONJ
cana-3244	188	19	naveed	naveed	PROPN
cana-3244	188	20	zafar	zafar	PROPN
cana-3244	188	21	janjua	janjua	PROPN
cana-3244	188	22	.	.	PUNCT
cana-3244	189	1	"	"	PUNCT
cana-3244	189	2	tracking	track	VERB
cana-3244	189	3	covid-19	covid-19	PROPN
cana-3244	189	4	discourse	discourse	NOUN
cana-3244	189	5	on	on	ADP
cana-3244	189	6	twitter	twitter	NOUN
cana-3244	189	7	in	in	ADP
cana-3244	189	8	north	north	PROPN
cana-3244	189	9	america	america	PROPN
cana-3244	189	10	:	:	PUNCT
cana-3244	189	11	infodemiology	infodemiology	NOUN
cana-3244	189	12	study	study	NOUN
cana-3244	189	13	using	use	VERB
cana-3244	189	14	topic	topic	NOUN
cana-3244	189	15	modeling	modeling	NOUN
cana-3244	189	16	and	and	CCONJ
cana-3244	189	17	aspect	aspect	NOUN
cana-3244	189	18	-based	-based	ADJ
cana-3244	189	19	sentiment	sentiment	NOUN
cana-3244	189	20	analysis	analysis	NOUN
cana-3244	189	21	.	.	PUNCT
cana-3244	189	22	"	"	PUNCT
cana-3244	190	1	journal	journal	NOUN
cana-3244	190	2	of	of	ADP
cana-3244	190	3	medical	medical	ADJ
cana-3244	190	4	internet	internet	NOUN
cana-3244	190	5	research	research	NOUN
cana-3244	190	6	23	23	NUM
cana-3244	190	7	,	,	PUNCT
cana-3244	190	8	no	no	INTJ
cana-3244	190	9	.	.	NOUN
cana-3244	190	10	2	2	NUM
cana-3244	190	11	(	(	PUNCT
cana-3244	190	12	2021	2021	NUM
cana-3244	190	13	):	):	PUNCT
cana-3244	190	14	e25431	e25431	PROPN
cana-3244	190	15	.	.	PUNCT
cana-3244	191	1	[	[	X
cana-3244	191	2	2	2	NUM
cana-3244	191	3	]	]	X
cana-3244	191	4	ishaq	ishaq	PROPN
cana-3244	191	5	,	,	PUNCT
cana-3244	191	6	adnan	adnan	PROPN
cana-3244	191	7	,	,	PUNCT
cana-3244	191	8	sohail	sohail	PROPN
cana-3244	191	9	asghar	asghar	PROPN
cana-3244	191	10	,	,	PUNCT
cana-3244	191	11	and	and	CCONJ
cana-3244	191	12	sairaandleeb	sairaandleeb	PROPN
cana-3244	191	13	gillani	gillani	PROPN
cana-3244	191	14	.	.	PUNCT
cana-3244	192	1	"	"	PUNCT
cana-3244	192	2	aspect	aspect	NOUN
cana-3244	192	3	-	-	PUNCT
cana-3244	192	4	based	base	VERB
cana-3244	192	5	sentiment	sentiment	NOUN
cana-3244	192	6	analysis	analysis	NOUN
cana-3244	192	7	using	use	VERB
cana-3244	192	8	a	a	DET
cana-3244	192	9	hybridized	hybridize	VERB
cana-3244	192	10	approach	approach	NOUN
cana-3244	192	11	based	base	VERB
cana-3244	192	12	on	on	ADP
cana-3244	192	13	cnn	cnn	PROPN
cana-3244	192	14	and	and	CCONJ
cana-3244	192	15	ga	ga	PROPN
cana-3244	192	16	.	.	PUNCT
cana-3244	192	17	"	"	PUNCT
cana-3244	193	1	ieee	ieee	NOUN
cana-3244	193	2	access	access	NOUN
cana-3244	193	3	8	8	NUM
cana-3244	193	4	(	(	PUNCT
cana-3244	193	5	2020	2020	NUM
cana-3244	193	6	):	):	PUNCT
cana-3244	193	7	135499	135499	NUM
cana-3244	193	8	-	-	SYM
cana-3244	193	9	135512	135512	NUM
cana-3244	193	10	.	.	PUNCT
cana-3244	194	1	[	[	X
cana-3244	194	2	3	3	X
cana-3244	194	3	]	]	PUNCT
cana-3244	194	4	ay	ay	PROPN
cana-3244	194	5	karakuş	karakuş	PROPN
cana-3244	194	6	b	b	PROPN
cana-3244	194	7	,	,	PUNCT
cana-3244	194	8	talo	talo	PROPN
cana-3244	194	9	m	m	PROPN
cana-3244	194	10	,	,	PUNCT
cana-3244	194	11	hallaç	hallaç	PROPN
cana-3244	194	12	i̇.r	i̇.r	PROPN
cana-3244	194	13	,	,	PUNCT
cana-3244	194	14	aydin	aydin	VERB
cana-3244	194	15	g.	g.	NOUN
cana-3244	194	16	2018	2018	NUM
cana-3244	194	17	.	.	PUNCT
cana-3244	195	1	evaluating	evaluate	VERB
cana-3244	195	2	deep	deep	ADJ
cana-3244	195	3	learning	learning	NOUN
cana-3244	195	4	models	model	NOUN
cana-3244	195	5	for	for	ADP
cana-3244	195	6	sentimentclassification	sentimentclassification	NOUN
cana-3244	195	7	.	.	PUNCT
cana-3244	196	1	concurrency	concurrency	NOUN
cana-3244	196	2	and	and	CCONJ
cana-3244	196	3	computation	computation	NOUN
cana-3244	196	4	:	:	PUNCT
cana-3244	196	5	practice	practice	NOUN
cana-3244	196	6	and	and	CCONJ
cana-3244	196	7	experience	experience	VERB
cana-3244	196	8	30(21):e4783doi	30(21):e4783doi	NUM
cana-3244	196	9	10.1002	10.1002	NUM
cana-3244	196	10	/	/	SYM
cana-3244	196	11	cpe.4783	cpe.4783	NOUN
cana-3244	196	12	.	.	PUNCT
cana-3244	197	1	[	[	X
cana-3244	197	2	4	4	NUM
cana-3244	197	3	]	]	X
cana-3244	197	4	bansal	bansal	PROPN
cana-3244	197	5	b	b	PROPN
cana-3244	197	6	,	,	PUNCT
cana-3244	197	7	srivastava	srivastava	PROPN
cana-3244	197	8	s.	s.	PROPN
cana-3244	197	9	2019	2019	NUM
cana-3244	197	10	.	.	PUNCT
cana-3244	198	1	hybrid	hybrid	ADJ
cana-3244	198	2	attribute	attribute	NOUN
cana-3244	198	3	based	base	VERB
cana-3244	198	4	sentiment	sentiment	NOUN
cana-3244	198	5	classification	classification	NOUN
cana-3244	198	6	of	of	ADP
cana-3244	198	7	online	online	ADJ
cana-3244	198	8	reviews	review	NOUN
cana-3244	198	9	forconsumer	forconsumer	NOUN
cana-3244	198	10	intelligence	intelligence	PROPN
cana-3244	198	11	.	.	PUNCT
cana-3244	199	1	applied	apply	VERB
cana-3244	199	2	intelligence	intelligence	NOUN
cana-3244	199	3	49(1):137–149	49(1):137–149	NOUN
cana-3244	199	4	doi	doi	NOUN
cana-3244	199	5	10.1007	10.1007	NUM
cana-3244	199	6	/	/	SYM
cana-3244	199	7	s10489	s10489	NOUN
cana-3244	199	8	-	-	PUNCT
cana-3244	199	9	018	018	NUM
cana-3244	199	10	-	-	PUNCT
cana-3244	199	11	1299	1299	NUM
cana-3244	199	12	-	-	SYM
cana-3244	199	13	7	7	NUM
cana-3244	199	14	.	.	PUNCT
cana-3244	200	1	[	[	X
cana-3244	200	2	5	5	NUM
cana-3244	200	3	]	]	X
cana-3244	200	4	tripathi	tripathi	PROPN
cana-3244	200	5	,	,	PUNCT
cana-3244	200	6	milan	milan	PROPN
cana-3244	200	7	.	.	PUNCT
cana-3244	201	1	"	"	PUNCT
cana-3244	201	2	sentiment	sentiment	NOUN
cana-3244	201	3	analysis	analysis	NOUN
cana-3244	201	4	of	of	ADP
cana-3244	201	5	nepali	nepali	ADJ
cana-3244	201	6	covid19	covid19	NOUN
cana-3244	201	7	tweets	tweet	NOUN
cana-3244	201	8	using	use	VERB
cana-3244	201	9	nbsvm	nbsvm	NOUN
cana-3244	201	10	and	and	CCONJ
cana-3244	201	11	lstm	lstm	NOUN
cana-3244	201	12	.	.	PUNCT
cana-3244	201	13	"	"	PUNCT
cana-3244	202	1	journal	journal	NOUN
cana-3244	202	2	of	of	ADP
cana-3244	202	3	artificial	artificial	ADJ
cana-3244	202	4	intelligence	intelligence	NOUN
cana-3244	202	5	3	3	NUM
cana-3244	202	6	,	,	PUNCT
cana-3244	202	7	no	no	INTJ
cana-3244	202	8	.	.	NOUN
cana-3244	202	9	03	03	NUM
cana-3244	202	10	(	(	PUNCT
cana-3244	202	11	2021	2021	NUM
cana-3244	202	12	):	):	PUNCT
cana-3244	202	13	151	151	NUM
cana-3244	202	14	-	-	SYM
cana-3244	202	15	168	168	NUM
cana-3244	202	16	.	.	PUNCT
cana-3244	203	1	[	[	X
cana-3244	203	2	6	6	NUM
cana-3244	203	3	]	]	SYM
cana-3244	203	4	mowlaei	mowlaei	ADJ
cana-3244	203	5	,	,	PUNCT
cana-3244	203	6	mohammad	mohammad	PROPN
cana-3244	203	7	erfan	erfan	PROPN
cana-3244	203	8	,	,	PUNCT
cana-3244	203	9	mohammad	mohammad	PROPN
cana-3244	203	10	sanieeabadeh	sanieeabadeh	PROPN
cana-3244	203	11	,	,	PUNCT
cana-3244	203	12	and	and	CCONJ
cana-3244	203	13	hamidreza	hamidreza	PROPN
cana-3244	203	14	keshavarz	keshavarz	PROPN
cana-3244	203	15	.	.	PUNCT
cana-3244	204	1	"	"	PUNCT
cana-3244	204	2	aspect	aspect	VERB
cana-3244	204	3	-based	-based	ADJ
cana-3244	204	4	sentiment	sentiment	NOUN
cana-3244	204	5	analysis	analysis	NOUN
cana-3244	204	6	using	use	VERB
cana-3244	204	7	adaptive	adaptive	ADJ
cana-3244	204	8	aspect	aspect	NOUN
cana-3244	204	9	-	-	PUNCT
cana-3244	204	10	based	base	VERB
cana-3244	204	11	lexicons	lexicon	NOUN
cana-3244	204	12	.	.	PUNCT
cana-3244	204	13	"	"	PUNCT
cana-3244	205	1	expert	expert	ADJ
cana-3244	205	2	systems	system	NOUN
cana-3244	205	3	with	with	ADP
cana-3244	205	4	applications	application	NOUN
cana-3244	205	5	148	148	NUM
cana-3244	205	6	(	(	PUNCT
cana-3244	205	7	2020	2020	NUM
cana-3244	205	8	):	):	PUNCT
cana-3244	205	9	113234	113234	NUM
cana-3244	205	10	.	.	PUNCT
cana-3244	206	1	[	[	X
cana-3244	206	2	7	7	X
cana-3244	206	3	]	]	X
cana-3244	206	4	liu	liu	PROPN
cana-3244	206	5	,	,	PUNCT
cana-3244	206	6	ning	ning	PROPN
cana-3244	206	7	,	,	PUNCT
cana-3244	206	8	and	and	CCONJ
cana-3244	206	9	bo	bo	PROPN
cana-3244	206	10	shen	shen	PROPN
cana-3244	206	11	.	.	PUNCT
cana-3244	207	1	"	"	PUNCT
cana-3244	207	2	aspect	aspect	NOUN
cana-3244	207	3	-	-	PUNCT
cana-3244	207	4	based	base	VERB
cana-3244	207	5	sentiment	sentiment	NOUN
cana-3244	207	6	analysis	analysis	NOUN
cana-3244	207	7	with	with	ADP
cana-3244	207	8	gated	gate	VERB
cana-3244	207	9	alternate	alternate	ADJ
cana-3244	207	10	neural	neural	ADJ
cana-3244	207	11	network	network	NOUN
cana-3244	207	12	.	.	PUNCT
cana-3244	207	13	"	"	PUNCT
cana-3244	208	1	knowledge	knowledge	NOUN
cana-3244	208	2	-	-	PUNCT
cana-3244	208	3	based	base	VERB
cana-3244	208	4	systems	system	NOUN
cana-3244	208	5	188	188	NUM
cana-3244	208	6	(	(	PUNCT
cana-3244	208	7	2020	2020	NUM
cana-3244	208	8	):	):	PUNCT
cana-3244	208	9	105010	105010	NUM
cana-3244	208	10	.	.	PUNCT
cana-3244	209	1	[	[	X
cana-3244	209	2	8	8	NUM
cana-3244	209	3	]	]	X
cana-3244	209	4	neelakandan	neelakandan	NOUN
cana-3244	209	5	,	,	PUNCT
cana-3244	209	6	s.	s.	PROPN
cana-3244	209	7	,	,	PUNCT
cana-3244	209	8	and	and	CCONJ
cana-3244	209	9	d.	d.	PROPN
cana-3244	209	10	paulraj	paulraj	PROPN
cana-3244	209	11	.	.	PUNCT
cana-3244	210	1	"	"	PUNCT
cana-3244	210	2	a	a	DET
cana-3244	210	3	gradient	gradient	NOUN
cana-3244	210	4	boosted	boost	VERB
cana-3244	210	5	decision	decision	NOUN
cana-3244	210	6	tree	tree	NOUN
cana-3244	210	7	-	-	PUNCT
cana-3244	210	8	based	base	VERB
cana-3244	210	9	sentiment	sentiment	NOUN
cana-3244	210	10	classification	classification	NOUN
cana-3244	210	11	of	of	ADP
cana-3244	210	12	twitter	twitter	NOUN
cana-3244	210	13	data	datum	NOUN
cana-3244	210	14	.	.	PUNCT
cana-3244	210	15	"	"	PUNCT
cana-3244	211	1	international	international	ADJ
cana-3244	211	2	journal	journal	NOUN
cana-3244	211	3	of	of	ADP
cana-3244	211	4	wavelets	wavelet	NOUN
cana-3244	211	5	,	,	PUNCT
cana-3244	211	6	multiresolution	multiresolution	NOUN
cana-3244	211	7	and	and	CCONJ
cana-3244	211	8	information	information	NOUN
cana-3244	211	9	processing	processing	NOUN
cana-3244	211	10	18	18	NUM
cana-3244	211	11	,	,	PUNCT
cana-3244	211	12	no	no	INTJ
cana-3244	211	13	.	.	NOUN
cana-3244	211	14	04	04	NUM
cana-3244	211	15	(	(	PUNCT
cana-3244	211	16	2020	2020	NUM
cana-3244	211	17	):	):	PUNCT
cana-3244	211	18	2050027	2050027	NUM
cana-3244	211	19	.	.	PUNCT
cana-3244	212	1	[	[	X
cana-3244	212	2	9	9	NUM
cana-3244	212	3	]	]	SYM
cana-3244	212	4	dang	dang	ADJ
cana-3244	212	5	,	,	PUNCT
cana-3244	212	6	nhancach	nhancach	ADV
cana-3244	212	7	,	,	PUNCT
cana-3244	212	8	maría	maría	PROPN
cana-3244	212	9	n.	n.	PROPN
cana-3244	212	10	moreno	moreno	PROPN
cana-3244	212	11	-	-	PUNCT
cana-3244	212	12	garcía	garcía	ADJ
cana-3244	212	13	,	,	PUNCT
cana-3244	212	14	and	and	CCONJ
cana-3244	212	15	fernando	fernando	PROPN
cana-3244	212	16	de	de	PROPN
cana-3244	212	17	la	la	PROPN
cana-3244	212	18	prieta	prieta	PROPN
cana-3244	212	19	.	.	PUNCT
cana-3244	213	1	"	"	PUNCT
cana-3244	213	2	sentiment	sentiment	NOUN
cana-3244	213	3	analysis	analysis	NOUN
cana-3244	213	4	based	base	VERB
cana-3244	213	5	on	on	ADP
cana-3244	213	6	deep	deep	ADJ
cana-3244	213	7	learning	learning	NOUN
cana-3244	213	8	:	:	PUNCT
cana-3244	213	9	a	a	DET
cana-3244	213	10	comparative	comparative	ADJ
cana-3244	213	11	study	study	NOUN
cana-3244	213	12	.	.	PUNCT
cana-3244	213	13	"	"	PUNCT
cana-3244	214	1	electronics	electronic	NOUN
cana-3244	214	2	9	9	NUM
cana-3244	214	3	,	,	PUNCT
cana-3244	214	4	no	no	INTJ
cana-3244	214	5	.	.	NOUN
cana-3244	214	6	3	3	NUM
cana-3244	214	7	(	(	PUNCT
cana-3244	214	8	2020	2020	NUM
cana-3244	214	9	):	):	PUNCT
cana-3244	214	10	483	483	NUM
cana-3244	214	11	.	.	PUNCT
cana-3244	215	1	[	[	X
cana-3244	215	2	10	10	NUM
cana-3244	215	3	]	]	X
cana-3244	215	4	peng	peng	PROPN
cana-3244	215	5	,	,	PUNCT
cana-3244	215	6	haiyun	haiyun	PROPN
cana-3244	215	7	,	,	PUNCT
cana-3244	215	8	lu	lu	PROPN
cana-3244	215	9	xu	xu	PROPN
cana-3244	215	10	,	,	PUNCT
cana-3244	215	11	lidong	lidong	NOUN
cana-3244	215	12	bing	bing	NOUN
cana-3244	215	13	,	,	PUNCT
cana-3244	215	14	fei	fei	PROPN
cana-3244	215	15	huang	huang	PROPN
cana-3244	215	16	,	,	PUNCT
cana-3244	215	17	wei	wei	PROPN
cana-3244	215	18	lu	lu	PROPN
cana-3244	215	19	,	,	PUNCT
cana-3244	215	20	and	and	CCONJ
cana-3244	215	21	luo	luo	PROPN
cana-3244	215	22	si	si	PROPN
cana-3244	215	23	.	.	PUNCT
cana-3244	216	1	"	"	PUNCT
cana-3244	216	2	knowing	know	VERB
cana-3244	216	3	what	what	PRON
cana-3244	216	4	,	,	PUNCT
cana-3244	216	5	how	how	SCONJ
cana-3244	216	6	and	and	CCONJ
cana-3244	216	7	why	why	SCONJ
cana-3244	216	8	:	:	PUNCT
cana-3244	216	9	a	a	DET
cana-3244	216	10	near	near	ADJ
cana-3244	216	11	complete	complete	ADJ
cana-3244	216	12	solution	solution	NOUN
cana-3244	216	13	for	for	ADP
cana-3244	216	14	aspect	aspect	NOUN
cana-3244	216	15	-	-	PUNCT
cana-3244	216	16	based	base	VERB
cana-3244	216	17	sentiment	sentiment	NOUN
cana-3244	216	18	analysis	analysis	NOUN
cana-3244	216	19	.	.	PUNCT
cana-3244	216	20	"	"	PUNCT
cana-3244	217	1	in	in	ADP
cana-3244	217	2	proceedings	proceeding	NOUN
cana-3244	217	3	of	of	ADP
cana-3244	217	4	the	the	DET
cana-3244	217	5	aaai	aaai	PROPN
cana-3244	217	6	conference	conference	NOUN
cana-3244	217	7	on	on	ADP
cana-3244	217	8	artificial	artificial	ADJ
cana-3244	217	9	intelligence	intelligence	NOUN
cana-3244	217	10	,	,	PUNCT
cana-3244	217	11	vol	vol	NOUN
cana-3244	217	12	.	.	PROPN
cana-3244	217	13	34	34	NUM
cana-3244	217	14	,	,	PUNCT
cana-3244	217	15	no	no	INTJ
cana-3244	217	16	.	.	NOUN
cana-3244	217	17	05	05	NUM
cana-3244	217	18	,	,	PUNCT
cana-3244	217	19	pp	pp	ADJ
cana-3244	217	20	.	.	PUNCT
cana-3244	217	21	8600	8600	NUM
cana-3244	217	22	-	-	SYM
cana-3244	217	23	8607	8607	NUM
cana-3244	217	24	.	.	PUNCT
cana-3244	218	1	2020	2020	NUM
cana-3244	218	2	.	.	PUNCT
cana-3244	219	1	[	[	X
cana-3244	219	2	11	11	NUM
cana-3244	219	3	]	]	X
cana-3244	219	4	mowlaei	mowlaei	ADJ
cana-3244	219	5	me	i	PRON
cana-3244	219	6	,	,	PUNCT
cana-3244	219	7	abadeh	abadeh	ADV
cana-3244	219	8	ms	ms	PROPN
cana-3244	219	9	,	,	PUNCT
cana-3244	219	10	keshavarz	keshavarz	PROPN
cana-3244	219	11	h.	h.	PROPN
cana-3244	219	12	2020	2020	NUM
cana-3244	219	13	.	.	PUNCT
cana-3244	220	1	aspect	aspect	NOUN
cana-3244	220	2	-	-	PUNCT
cana-3244	220	3	based	base	VERB
cana-3244	220	4	sentiment	sentiment	NOUN
cana-3244	220	5	analysis	analysis	NOUN
cana-3244	220	6	using	use	VERB
cana-3244	220	7	adaptiveaspect	adaptiveaspect	NOUN
cana-3244	220	8	-	-	PUNCT
cana-3244	220	9	based	base	VERB
cana-3244	220	10	lexicons	lexicon	NOUN
cana-3244	220	11	.	.	PUNCT
cana-3244	221	1	expert	expert	NOUN
cana-3244	221	2	systems	system	NOUN
cana-3244	221	3	with	with	ADP
cana-3244	221	4	applications	application	NOUN
cana-3244	221	5	148(c–1):113234	148(c–1):113234	NUM
cana-3244	221	6	[	[	X
cana-3244	221	7	12	12	NUM
cana-3244	221	8	]	]	X
cana-3244	221	9	do	do	AUX
cana-3244	221	10	hh	hh	PROPN
cana-3244	221	11	,	,	PUNCT
cana-3244	221	12	prasad	prasad	PROPN
cana-3244	221	13	p	p	X
cana-3244	221	14	,	,	PUNCT
cana-3244	221	15	maag	maag	PROPN
cana-3244	221	16	a	a	PRON
cana-3244	221	17	,	,	PUNCT
cana-3244	221	18	alsadoon	alsadoon	NOUN
cana-3244	221	19	a.	a.	NOUN
cana-3244	221	20	2019	2019	NUM
cana-3244	221	21	.	.	PUNCT
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cana-3244	222	2	learning	learning	NOUN
cana-3244	222	3	for	for	ADP
cana-3244	222	4	aspect	aspect	NOUN
cana-3244	222	5	-based	-base	VERB
cana-3244	222	6	sentiment	sentiment	NOUN
cana-3244	222	7	analysis	analysis	NOUN
cana-3244	222	8	:	:	PUNCT
cana-3244	222	9	a	a	DET
cana-3244	222	10	comparative	comparative	ADJ
cana-3244	222	11	review	review	NOUN
cana-3244	222	12	.	.	PUNCT
cana-3244	223	1	expert	expert	NOUN
cana-3244	223	2	systems	system	NOUN
cana-3244	223	3	with	with	ADP
cana-3244	223	4	applications	application	NOUN
cana-3244	223	5	118(6):272–299	118(6):272–299	NUM
cana-3244	223	6	doi	doi	X
cana-3244	223	7	10.1016	10.1016	NUM
cana-3244	223	8	/	/	SYM
cana-3244	223	9	j.eswa.2018.10.003	j.eswa.2018.10.003	PROPN
cana-3244	223	10	.	.	PUNCT
cana-3244	224	1	[	[	X
cana-3244	224	2	13	13	NUM
cana-3244	224	3	]	]	X
cana-3244	224	4	feldman	feldman	PROPN
cana-3244	224	5	r.	r.	PROPN
cana-3244	224	6	2013	2013	NUM
cana-3244	224	7	.	.	PUNCT
cana-3244	225	1	techniques	technique	NOUN
cana-3244	225	2	and	and	CCONJ
cana-3244	225	3	applications	application	NOUN
cana-3244	225	4	for	for	ADP
cana-3244	225	5	sentiment	sentiment	NOUN
cana-3244	225	6	analysis	analysis	NOUN
cana-3244	225	7	.	.	PUNCT
cana-3244	226	1	communications	communication	NOUN
cana-3244	226	2	of	of	ADP
cana-3244	226	3	the	the	DET
cana-3244	226	4	acm	acm	PROPN
cana-3244	226	5	56(4):82–89	56(4):82–89	NUM
cana-3244	226	6	doi	doi	X
cana-3244	226	7	10.1145/2436256.2436274	10.1145/2436256.2436274	NUM
cana-3244	226	8	.	.	PUNCT
cana-3244	227	1	[	[	X
cana-3244	227	2	14	14	NUM
cana-3244	227	3	]	]	PUNCT
cana-3244	227	4	go	go	VERB
cana-3244	227	5	a	a	DET
cana-3244	227	6	,	,	PUNCT
cana-3244	227	7	bhayani	bhayani	ADJ
cana-3244	227	8	r	r	PROPN
cana-3244	227	9	,	,	PUNCT
cana-3244	227	10	huang	huang	PROPN
cana-3244	227	11	l.	l.	PROPN
cana-3244	227	12	2009	2009	NUM
cana-3244	227	13	.	.	PUNCT
cana-3244	228	1	twitter	twitter	NOUN
cana-3244	228	2	sentiment	sentiment	NOUN
cana-3244	228	3	classification	classification	NOUN
cana-3244	228	4	using	use	VERB
cana-3244	228	5	distant	distant	ADJ
cana-3244	228	6	supervision	supervision	NOUN
cana-3244	228	7	.	.	PUNCT
cana-3244	229	1	cs224n	cs224n	ADJ
cana-3244	229	2	project	project	NOUN
cana-3244	229	3	report	report	NOUN
cana-3244	229	4	,	,	PUNCT
cana-3244	229	5	stanford	stanford	PROPN
cana-3244	229	6	1(12):2009	1(12):2009	NUM
cana-3244	229	7	.	.	PUNCT
cana-3244	230	1	communications	communication	NOUN
cana-3244	230	2	on	on	ADP
cana-3244	230	3	applied	apply	VERB
cana-3244	230	4	nonlinear	nonlinear	ADJ
cana-3244	230	5	analysis	analysis	NOUN
cana-3244	230	6	issn	issn	NOUN
cana-3244	230	7	:	:	PUNCT
cana-3244	230	8	1074	1074	NUM
cana-3244	230	9	-	-	PUNCT
cana-3244	230	10	133x	133x	NUM
cana-3244	230	11	vol	vol	NOUN
cana-3244	230	12	32	32	NUM
cana-3244	230	13	no	no	NOUN
cana-3244	230	14	.	.	PUNCT
cana-3244	231	1	6s	6s	NUM
cana-3244	231	2	(	(	PUNCT
cana-3244	231	3	2025	2025	NUM
cana-3244	231	4	)	)	PUNCT
cana-3244	231	5	63	63	NUM
cana-3244	231	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3244	232	1	[	[	X
cana-3244	232	2	15	15	NUM
cana-3244	232	3	]	]	X
cana-3244	232	4	hacohen	hacohen	PROPN
cana-3244	232	5	-	-	PUNCT
cana-3244	232	6	kerner	kerner	PROPN
cana-3244	232	7	y	y	PROPN
cana-3244	232	8	,	,	PUNCT
cana-3244	232	9	miller	miller	PROPN
cana-3244	232	10	d	d	PROPN
cana-3244	232	11	,	,	PUNCT
cana-3244	232	12	yigal	yigal	PROPN
cana-3244	232	13	y.	y.	PROPN
cana-3244	232	14	2020	2020	NUM
cana-3244	232	15	.	.	PUNCT
cana-3244	233	1	the	the	DET
cana-3244	233	2	influence	influence	NOUN
cana-3244	233	3	of	of	ADP
cana-3244	233	4	preprocessing	preprocesse	VERB
cana-3244	233	5	on	on	ADP
cana-3244	233	6	text	text	NOUN
cana-3244	233	7	classification	classification	NOUN
cana-3244	233	8	using	use	VERB
cana-3244	233	9	a	a	DET
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