id	sid	tid	token	lemma	pos
cana-5760	1	1	communications	communication	NOUN
cana-5760	1	2	on	on	ADP
cana-5760	1	3	applied	apply	VERB
cana-5760	1	4	nonlinear	nonlinear	ADJ
cana-5760	1	5	analysis	analysis	NOUN
cana-5760	1	6	issn	issn	NOUN
cana-5760	1	7	:	:	PUNCT
cana-5760	1	8	1074	1074	NUM
cana-5760	1	9	-	-	PUNCT
cana-5760	1	10	133x	133x	NUM
cana-5760	1	11	vol	vol	NOUN
cana-5760	1	12	32	32	NUM
cana-5760	1	13	no	no	NOUN
cana-5760	1	14	.	.	PUNCT
cana-5760	2	1	3s	3s	NUM
cana-5760	2	2	(	(	PUNCT
cana-5760	2	3	2025	2025	NUM
cana-5760	2	4	)	)	PUNCT
cana-5760	2	5	831	831	NUM
cana-5760	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	2	7	a	a	DET
cana-5760	2	8	deep	deep	ADJ
cana-5760	2	9	learning	learning	NOUN
cana-5760	2	10	-	-	PUNCT
cana-5760	2	11	driven	drive	VERB
cana-5760	2	12	framework	framework	NOUN
cana-5760	2	13	for	for	ADP
cana-5760	2	14	identifying	identify	VERB
cana-5760	2	15	online	online	ADJ
cana-5760	2	16	recruitment	recruitment	NOUN
cana-5760	2	17	scams	scam	NOUN
cana-5760	2	18	syed	syed	ADJ
cana-5760	2	19	ishad	ishad	VERB
cana-5760	2	20	hussain1	hussain1	PROPN
cana-5760	2	21	mr	mr	PROPN
cana-5760	2	22	.	.	PROPN
cana-5760	2	23	rizwan	rizwan	PROPN
cana-5760	2	24	uz	uz	PROPN
cana-5760	2	25	zaman2	zaman2	PROPN
cana-5760	2	26	dr	dr	PROPN
cana-5760	2	27	.	.	PROPN
cana-5760	2	28	ruhiat	ruhiat	PROPN
cana-5760	2	29	sultana3	sultana3	VERB
cana-5760	2	30	1	1	NUM
cana-5760	2	31	research	research	NOUN
cana-5760	2	32	scholar	scholar	NOUN
cana-5760	2	33	,	,	PUNCT
cana-5760	2	34	dept	dept	NOUN
cana-5760	2	35	.	.	PROPN
cana-5760	2	36	of	of	ADP
cana-5760	2	37	computer	computer	NOUN
cana-5760	2	38	science	science	NOUN
cana-5760	2	39	and	and	CCONJ
cana-5760	2	40	engineering	engineering	NOUN
cana-5760	2	41	,	,	PUNCT
cana-5760	2	42	lords	lords	PROPN
cana-5760	2	43	institute	institute	PROPN
cana-5760	2	44	of	of	ADP
cana-5760	2	45	engineering	engineering	NOUN
cana-5760	2	46	and	and	CCONJ
cana-5760	2	47	technology	technology	NOUN
cana-5760	2	48	,	,	PUNCT
cana-5760	2	49	hyderabad	hyderabad	PROPN
cana-5760	2	50	,	,	PUNCT
cana-5760	2	51	telangana	telangana	PROPN
cana-5760	2	52	2assistant	2assistant	PROPN
cana-5760	2	53	professor	professor	PROPN
cana-5760	2	54	,	,	PUNCT
cana-5760	2	55	dept	dept	NOUN
cana-5760	2	56	.	.	PROPN
cana-5760	2	57	of	of	ADP
cana-5760	2	58	computer	computer	NOUN
cana-5760	2	59	science	science	NOUN
cana-5760	2	60	and	and	CCONJ
cana-5760	2	61	engineering	engineering	NOUN
cana-5760	2	62	,	,	PUNCT
cana-5760	2	63	lords	lords	PROPN
cana-5760	2	64	institute	institute	PROPN
cana-5760	2	65	of	of	ADP
cana-5760	2	66	engineering	engineering	NOUN
cana-5760	2	67	and	and	CCONJ
cana-5760	2	68	technology	technology	NOUN
cana-5760	2	69	,	,	PUNCT
cana-5760	2	70	hyderabad	hyderabad	PROPN
cana-5760	2	71	,	,	PUNCT
cana-5760	2	72	telangana	telangana	PROPN
cana-5760	2	73	3associate	3associate	NUM
cana-5760	2	74	professor	professor	NOUN
cana-5760	2	75	,	,	PUNCT
cana-5760	2	76	dept	dept	NOUN
cana-5760	2	77	.	.	PROPN
cana-5760	2	78	of	of	ADP
cana-5760	2	79	computer	computer	NOUN
cana-5760	2	80	science	science	NOUN
cana-5760	2	81	and	and	CCONJ
cana-5760	2	82	engineering	engineering	NOUN
cana-5760	2	83	,	,	PUNCT
cana-5760	2	84	lords	lords	PROPN
cana-5760	2	85	institute	institute	PROPN
cana-5760	2	86	of	of	ADP
cana-5760	2	87	engineering	engineering	NOUN
cana-5760	2	88	and	and	CCONJ
cana-5760	2	89	technology	technology	NOUN
cana-5760	2	90	,	,	PUNCT
cana-5760	2	91	hyderabad	hyderabad	PROPN
cana-5760	2	92	,	,	PUNCT
cana-5760	2	93	telangana	telangana	PROPN
cana-5760	2	94	article	article	PROPN
cana-5760	2	95	history	history	NOUN
cana-5760	2	96	:	:	PUNCT
cana-5760	2	97	received	receive	VERB
cana-5760	2	98	:	:	PUNCT
cana-5760	2	99	12	12	NUM
cana-5760	2	100	-	-	SYM
cana-5760	2	101	01	01	NUM
cana-5760	2	102	-	-	PUNCT
cana-5760	2	103	2025	2025	NUM
cana-5760	2	104	revised	revise	VERB
cana-5760	2	105	:	:	PUNCT
cana-5760	2	106	15	15	NUM
cana-5760	2	107	-	-	NUM
cana-5760	2	108	02	02	NUM
cana-5760	2	109	-	-	PUNCT
cana-5760	2	110	2025	2025	NUM
cana-5760	2	111	accepted	accept	VERB
cana-5760	2	112	:	:	PUNCT
cana-5760	2	113	01	01	NUM
cana-5760	2	114	-	-	SYM
cana-5760	2	115	03	03	NUM
cana-5760	2	116	-	-	PUNCT
cana-5760	2	117	2025	2025	NUM
cana-5760	2	118	abstract	abstract	NOUN
cana-5760	2	119	with	with	ADP
cana-5760	2	120	the	the	DET
cana-5760	2	121	expansion	expansion	NOUN
cana-5760	2	122	of	of	ADP
cana-5760	2	123	online	online	ADJ
cana-5760	2	124	recruitment	recruitment	NOUN
cana-5760	2	125	platforms	platform	NOUN
cana-5760	2	126	,	,	PUNCT
cana-5760	2	127	the	the	DET
cana-5760	2	128	hiring	hire	VERB
cana-5760	2	129	process	process	NOUN
cana-5760	2	130	has	have	AUX
cana-5760	2	131	become	become	VERB
cana-5760	2	132	more	more	ADV
cana-5760	2	133	efficient	efficient	ADJ
cana-5760	2	134	;	;	PUNCT
cana-5760	2	135	however	however	ADV
cana-5760	2	136	,	,	PUNCT
cana-5760	2	137	this	this	DET
cana-5760	2	138	advancement	advancement	NOUN
cana-5760	2	139	has	have	AUX
cana-5760	2	140	also	also	ADV
cana-5760	2	141	led	lead	VERB
cana-5760	2	142	to	to	ADP
cana-5760	2	143	a	a	DET
cana-5760	2	144	rise	rise	NOUN
cana-5760	2	145	in	in	ADP
cana-5760	2	146	fraudulent	fraudulent	ADJ
cana-5760	2	147	job	job	NOUN
cana-5760	2	148	postings	posting	NOUN
cana-5760	2	149	,	,	PUNCT
cana-5760	2	150	causing	cause	VERB
cana-5760	2	151	significant	significant	ADJ
cana-5760	2	152	financial	financial	ADJ
cana-5760	2	153	harm	harm	NOUN
cana-5760	2	154	to	to	ADP
cana-5760	2	155	job	job	NOUN
cana-5760	2	156	seekers	seeker	NOUN
cana-5760	2	157	.	.	PUNCT
cana-5760	3	1	to	to	PART
cana-5760	3	2	address	address	VERB
cana-5760	3	3	this	this	DET
cana-5760	3	4	growing	grow	VERB
cana-5760	3	5	concern	concern	NOUN
cana-5760	3	6	,	,	PUNCT
cana-5760	3	7	the	the	DET
cana-5760	3	8	study	study	NOUN
cana-5760	3	9	introduces	introduce	VERB
cana-5760	3	10	a	a	DET
cana-5760	3	11	deep	deep	ADJ
cana-5760	3	12	learning	learning	NOUN
cana-5760	3	13	-	-	PUNCT
cana-5760	3	14	based	base	VERB
cana-5760	3	15	framework	framework	NOUN
cana-5760	3	16	for	for	ADP
cana-5760	3	17	detecting	detect	VERB
cana-5760	3	18	online	online	ADJ
cana-5760	3	19	recruitment	recruitment	NOUN
cana-5760	3	20	fraud	fraud	NOUN
cana-5760	3	21	(	(	PUNCT
cana-5760	3	22	orf	orf	PROPN
cana-5760	3	23	)	)	PUNCT
cana-5760	3	24	.	.	PUNCT
cana-5760	4	1	a	a	DET
cana-5760	4	2	novel	novel	NOUN
cana-5760	4	3	,	,	PUNCT
cana-5760	4	4	comprehensive	comprehensive	ADJ
cana-5760	4	5	dataset	dataset	NOUN
cana-5760	4	6	is	be	AUX
cana-5760	4	7	constructed	construct	VERB
cana-5760	4	8	by	by	ADP
cana-5760	4	9	integrating	integrate	VERB
cana-5760	4	10	data	datum	NOUN
cana-5760	4	11	from	from	ADP
cana-5760	4	12	fake	fake	ADJ
cana-5760	4	13	job	job	NOUN
cana-5760	4	14	postings	posting	NOUN
cana-5760	4	15	,	,	PUNCT
cana-5760	4	16	pakistan	pakistan	ADJ
cana-5760	4	17	job	job	NOUN
cana-5760	4	18	postings	posting	NOUN
cana-5760	4	19	,	,	PUNCT
cana-5760	4	20	and	and	CCONJ
cana-5760	4	21	us	us	PROPN
cana-5760	4	22	job	job	NOUN
cana-5760	4	23	postings	posting	NOUN
cana-5760	4	24	.	.	PUNCT
cana-5760	5	1	the	the	DET
cana-5760	5	2	proposed	propose	VERB
cana-5760	5	3	method	method	NOUN
cana-5760	5	4	leverages	leverage	VERB
cana-5760	5	5	state	state	NOUN
cana-5760	5	6	-	-	PUNCT
cana-5760	5	7	of	of	ADP
cana-5760	5	8	-	-	PUNCT
cana-5760	5	9	the	the	DET
cana-5760	5	10	-	-	PUNCT
cana-5760	5	11	art	art	NOUN
cana-5760	5	12	natural	natural	ADJ
cana-5760	5	13	language	language	NOUN
cana-5760	5	14	processing	processing	NOUN
cana-5760	5	15	(	(	PUNCT
cana-5760	5	16	nlp	nlp	NOUN
cana-5760	5	17	)	)	PUNCT
cana-5760	5	18	models	model	NOUN
cana-5760	5	19	—	—	PUNCT
cana-5760	5	20	bidirectional	bidirectional	ADJ
cana-5760	5	21	encoder	encoder	NOUN
cana-5760	5	22	representations	representation	VERB
cana-5760	5	23	from	from	ADP
cana-5760	5	24	transformers	transformer	NOUN
cana-5760	5	25	(	(	PUNCT
cana-5760	5	26	bert	bert	PROPN
cana-5760	5	27	)	)	PUNCT
cana-5760	5	28	and	and	CCONJ
cana-5760	5	29	its	its	PRON
cana-5760	5	30	optimized	optimize	VERB
cana-5760	5	31	variant	variant	NOUN
cana-5760	5	32	,	,	PUNCT
cana-5760	5	33	roberta	roberta	PROPN
cana-5760	5	34	—	—	PUNCT
cana-5760	5	35	to	to	PART
cana-5760	5	36	encode	encode	VERB
cana-5760	5	37	job	job	NOUN
cana-5760	5	38	descriptions	description	NOUN
cana-5760	5	39	into	into	ADP
cana-5760	5	40	meaningful	meaningful	ADJ
cana-5760	5	41	vector	vector	NOUN
cana-5760	5	42	representations	representation	NOUN
cana-5760	5	43	.	.	PUNCT
cana-5760	6	1	to	to	PART
cana-5760	6	2	resolve	resolve	VERB
cana-5760	6	3	the	the	DET
cana-5760	6	4	challenge	challenge	NOUN
cana-5760	6	5	of	of	ADP
cana-5760	6	6	class	class	NOUN
cana-5760	6	7	imbalance	imbalance	NOUN
cana-5760	6	8	in	in	ADP
cana-5760	6	9	the	the	DET
cana-5760	6	10	dataset	dataset	NOUN
cana-5760	6	11	,	,	PUNCT
cana-5760	6	12	the	the	DET
cana-5760	6	13	synthetic	synthetic	ADJ
cana-5760	6	14	minority	minority	NOUN
cana-5760	6	15	oversampling	oversample	VERB
cana-5760	6	16	technique	technique	NOUN
cana-5760	6	17	with	with	ADP
cana-5760	6	18	borderline	borderline	NOUN
cana-5760	6	19	detection	detection	NOUN
cana-5760	6	20	(	(	PUNCT
cana-5760	6	21	smobd	smobd	NOUN
cana-5760	6	22	)	)	PUNCT
cana-5760	6	23	is	be	AUX
cana-5760	6	24	employed	employ	VERB
cana-5760	6	25	.	.	PUNCT
cana-5760	7	1	these	these	DET
cana-5760	7	2	processed	process	VERB
cana-5760	7	3	features	feature	NOUN
cana-5760	7	4	are	be	AUX
cana-5760	7	5	then	then	ADV
cana-5760	7	6	input	input	ADJ
cana-5760	7	7	into	into	ADP
cana-5760	7	8	a	a	DET
cana-5760	7	9	two	two	NUM
cana-5760	7	10	-	-	PUNCT
cana-5760	7	11	dimensional	dimensional	ADJ
cana-5760	7	12	convolutional	convolutional	ADJ
cana-5760	7	13	neural	neural	ADJ
cana-5760	7	14	network	network	NOUN
cana-5760	7	15	(	(	PUNCT
cana-5760	7	16	cnn2d	cnn2d	PROPN
cana-5760	7	17	)	)	PUNCT
cana-5760	7	18	for	for	ADP
cana-5760	7	19	classification	classification	NOUN
cana-5760	7	20	.	.	PUNCT
cana-5760	8	1	experimental	experimental	ADJ
cana-5760	8	2	results	result	NOUN
cana-5760	8	3	demonstrate	demonstrate	VERB
cana-5760	8	4	that	that	SCONJ
cana-5760	8	5	this	this	DET
cana-5760	8	6	integrated	integrate	VERB
cana-5760	8	7	approach	approach	NOUN
cana-5760	8	8	achieves	achieve	VERB
cana-5760	8	9	an	an	DET
cana-5760	8	10	impressive	impressive	ADJ
cana-5760	8	11	classification	classification	NOUN
cana-5760	8	12	accuracy	accuracy	NOUN
cana-5760	8	13	of	of	ADP
cana-5760	8	14	98.68	98.68	NUM
cana-5760	8	15	%	%	NOUN
cana-5760	8	16	.	.	PUNCT
cana-5760	9	1	the	the	DET
cana-5760	9	2	proposed	propose	VERB
cana-5760	9	3	model	model	NOUN
cana-5760	9	4	not	not	PART
cana-5760	9	5	only	only	ADV
cana-5760	9	6	surpasses	surpass	VERB
cana-5760	9	7	existing	exist	VERB
cana-5760	9	8	techniques	technique	NOUN
cana-5760	9	9	but	but	CCONJ
cana-5760	9	10	also	also	ADV
cana-5760	9	11	provides	provide	VERB
cana-5760	9	12	a	a	DET
cana-5760	9	13	robust	robust	ADJ
cana-5760	9	14	and	and	CCONJ
cana-5760	9	15	scalable	scalable	ADJ
cana-5760	9	16	solution	solution	NOUN
cana-5760	9	17	for	for	ADP
cana-5760	9	18	identifying	identify	VERB
cana-5760	9	19	fraudulent	fraudulent	ADJ
cana-5760	9	20	job	job	NOUN
cana-5760	9	21	listings	listing	NOUN
cana-5760	9	22	,	,	PUNCT
cana-5760	9	23	thereby	thereby	ADV
cana-5760	9	24	contributing	contribute	VERB
cana-5760	9	25	significantly	significantly	ADV
cana-5760	9	26	to	to	ADP
cana-5760	9	27	the	the	DET
cana-5760	9	28	prevention	prevention	NOUN
cana-5760	9	29	of	of	ADP
cana-5760	9	30	online	online	ADJ
cana-5760	9	31	recruitment	recruitment	NOUN
cana-5760	9	32	scams	scam	NOUN
cana-5760	9	33	.	.	PUNCT
cana-5760	10	1	1	1	X
cana-5760	10	2	.	.	X
cana-5760	10	3	introduction	introduction	NOUN
cana-5760	10	4	in	in	ADP
cana-5760	10	5	today	today	NOUN
cana-5760	10	6	’s	’s	PART
cana-5760	10	7	digital	digital	ADJ
cana-5760	10	8	age	age	NOUN
cana-5760	10	9	,	,	PUNCT
cana-5760	10	10	the	the	DET
cana-5760	10	11	internet	internet	NOUN
cana-5760	10	12	has	have	AUX
cana-5760	10	13	significantly	significantly	ADV
cana-5760	10	14	transformed	transform	VERB
cana-5760	10	15	the	the	DET
cana-5760	10	16	way	way	NOUN
cana-5760	10	17	individuals	individual	NOUN
cana-5760	10	18	search	search	VERB
cana-5760	10	19	for	for	ADP
cana-5760	10	20	jobs	job	NOUN
cana-5760	10	21	and	and	CCONJ
cana-5760	10	22	how	how	SCONJ
cana-5760	10	23	organizations	organization	NOUN
cana-5760	10	24	manage	manage	VERB
cana-5760	10	25	their	their	PRON
cana-5760	10	26	hiring	hire	VERB
cana-5760	10	27	processes	process	NOUN
cana-5760	10	28	.	.	PUNCT
cana-5760	11	1	traditional	traditional	ADJ
cana-5760	11	2	recruitment	recruitment	NOUN
cana-5760	11	3	practices	practice	NOUN
cana-5760	11	4	have	have	AUX
cana-5760	11	5	been	be	AUX
cana-5760	11	6	largely	largely	ADV
cana-5760	11	7	replaced	replace	VERB
cana-5760	11	8	by	by	ADP
cana-5760	11	9	electronic	electronic	ADJ
cana-5760	11	10	recruitment	recruitment	NOUN
cana-5760	11	11	(	(	PUNCT
cana-5760	11	12	e	e	NOUN
cana-5760	11	13	-	-	NOUN
cana-5760	11	14	recruitment	recruitment	ADJ
cana-5760	11	15	)	)	PUNCT
cana-5760	11	16	platforms	platform	NOUN
cana-5760	11	17	,	,	PUNCT
cana-5760	11	18	which	which	PRON
cana-5760	11	19	offer	offer	VERB
cana-5760	11	20	enhanced	enhanced	ADJ
cana-5760	11	21	efficiency	efficiency	NOUN
cana-5760	11	22	,	,	PUNCT
cana-5760	11	23	accessibility	accessibility	NOUN
cana-5760	11	24	,	,	PUNCT
cana-5760	11	25	and	and	CCONJ
cana-5760	11	26	convenience	convenience	NOUN
cana-5760	11	27	.	.	PUNCT
cana-5760	12	1	these	these	DET
cana-5760	12	2	platforms	platform	NOUN
cana-5760	12	3	enable	enable	VERB
cana-5760	12	4	employers	employer	NOUN
cana-5760	12	5	to	to	PART
cana-5760	12	6	post	post	VERB
cana-5760	12	7	detailed	detailed	ADJ
cana-5760	12	8	job	job	NOUN
cana-5760	12	9	openings	opening	NOUN
cana-5760	12	10	—	—	PUNCT
cana-5760	12	11	including	include	VERB
cana-5760	12	12	descriptions	description	NOUN
cana-5760	12	13	,	,	PUNCT
cana-5760	12	14	qualifications	qualification	NOUN
cana-5760	12	15	,	,	PUNCT
cana-5760	12	16	salary	salary	NOUN
cana-5760	12	17	expectations	expectation	NOUN
cana-5760	12	18	,	,	PUNCT
cana-5760	12	19	and	and	CCONJ
cana-5760	12	20	benefits	benefit	NOUN
cana-5760	12	21	—	—	PUNCT
cana-5760	12	22	while	while	SCONJ
cana-5760	12	23	allowing	allow	VERB
cana-5760	12	24	job	job	NOUN
cana-5760	12	25	seekers	seeker	NOUN
cana-5760	12	26	to	to	PART
cana-5760	12	27	browse	browse	VERB
cana-5760	12	28	and	and	CCONJ
cana-5760	12	29	apply	apply	VERB
cana-5760	12	30	for	for	ADP
cana-5760	12	31	roles	role	NOUN
cana-5760	12	32	that	that	PRON
cana-5760	12	33	align	align	VERB
cana-5760	12	34	with	with	ADP
cana-5760	12	35	their	their	PRON
cana-5760	12	36	skills	skill	NOUN
cana-5760	12	37	and	and	CCONJ
cana-5760	12	38	interests	interest	NOUN
cana-5760	12	39	.	.	PUNCT
cana-5760	13	1	the	the	DET
cana-5760	13	2	shift	shift	NOUN
cana-5760	13	3	to	to	ADP
cana-5760	13	4	e	e	NOUN
cana-5760	13	5	-	-	NOUN
cana-5760	13	6	recruitment	recruitment	NOUN
cana-5760	13	7	became	become	VERB
cana-5760	13	8	even	even	ADV
cana-5760	13	9	more	more	ADV
cana-5760	13	10	pronounced	pronounce	VERB
cana-5760	13	11	during	during	ADP
cana-5760	13	12	the	the	DET
cana-5760	13	13	covid-19	covid-19	PROPN
cana-5760	13	14	pandemic	pandemic	NOUN
cana-5760	13	15	,	,	PUNCT
cana-5760	13	16	as	as	SCONJ
cana-5760	13	17	restrictions	restriction	NOUN
cana-5760	13	18	on	on	ADP
cana-5760	13	19	physical	physical	ADJ
cana-5760	13	20	interactions	interaction	NOUN
cana-5760	13	21	and	and	CCONJ
cana-5760	13	22	the	the	DET
cana-5760	13	23	rise	rise	NOUN
cana-5760	13	24	of	of	ADP
cana-5760	13	25	remote	remote	ADJ
cana-5760	13	26	work	work	NOUN
cana-5760	13	27	forced	force	VERB
cana-5760	13	28	many	many	ADJ
cana-5760	13	29	organizations	organization	NOUN
cana-5760	13	30	to	to	PART
cana-5760	13	31	adopt	adopt	VERB
cana-5760	13	32	digital	digital	ADJ
cana-5760	13	33	hiring	hiring	NOUN
cana-5760	13	34	methods	method	NOUN
cana-5760	13	35	.	.	PUNCT
cana-5760	14	1	according	accord	VERB
cana-5760	14	2	to	to	ADP
cana-5760	14	3	the	the	DET
cana-5760	14	4	world	world	NOUN
cana-5760	14	5	economic	economic	ADJ
cana-5760	14	6	outlook	outlook	NOUN
cana-5760	14	7	communications	communication	NOUN
cana-5760	14	8	on	on	ADP
cana-5760	14	9	applied	apply	VERB
cana-5760	14	10	nonlinear	nonlinear	ADJ
cana-5760	14	11	analysis	analysis	NOUN
cana-5760	14	12	issn	issn	NOUN
cana-5760	14	13	:	:	PUNCT
cana-5760	14	14	1074	1074	NUM
cana-5760	14	15	-	-	PUNCT
cana-5760	14	16	133x	133x	NUM
cana-5760	14	17	vol	vol	NOUN
cana-5760	14	18	32	32	NUM
cana-5760	14	19	no	no	NOUN
cana-5760	14	20	.	.	PUNCT
cana-5760	15	1	3s	3s	NUM
cana-5760	15	2	(	(	PUNCT
cana-5760	15	3	2025	2025	NUM
cana-5760	15	4	)	)	PUNCT
cana-5760	15	5	832	832	NUM
cana-5760	15	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	15	7	report	report	NOUN
cana-5760	15	8	,	,	PUNCT
cana-5760	15	9	the	the	DET
cana-5760	15	10	global	global	ADJ
cana-5760	15	11	unemployment	unemployment	NOUN
cana-5760	15	12	rate	rate	NOUN
cana-5760	15	13	rose	rise	VERB
cana-5760	15	14	sharply	sharply	ADV
cana-5760	15	15	to	to	ADP
cana-5760	15	16	13	13	NUM
cana-5760	15	17	%	%	NOUN
cana-5760	15	18	in	in	ADP
cana-5760	15	19	2020	2020	NUM
cana-5760	15	20	,	,	PUNCT
cana-5760	15	21	up	up	ADV
cana-5760	15	22	from	from	ADP
cana-5760	15	23	7.3	7.3	NUM
cana-5760	15	24	%	%	NOUN
cana-5760	15	25	in	in	ADP
cana-5760	15	26	2019	2019	NUM
cana-5760	15	27	and	and	CCONJ
cana-5760	15	28	3.9	3.9	NUM
cana-5760	15	29	%	%	NOUN
cana-5760	15	30	in	in	ADP
cana-5760	15	31	2018	2018	NUM
cana-5760	15	32	,	,	PUNCT
cana-5760	15	33	prompting	prompt	VERB
cana-5760	15	34	companies	company	NOUN
cana-5760	15	35	to	to	PART
cana-5760	15	36	rely	rely	VERB
cana-5760	15	37	more	more	ADV
cana-5760	15	38	heavily	heavily	ADV
cana-5760	15	39	on	on	ADP
cana-5760	15	40	online	online	ADJ
cana-5760	15	41	recruitment	recruitment	NOUN
cana-5760	15	42	to	to	PART
cana-5760	15	43	maintain	maintain	VERB
cana-5760	15	44	hiring	hire	VERB
cana-5760	15	45	continuity	continuity	NOUN
cana-5760	15	46	and	and	CCONJ
cana-5760	15	47	address	address	VERB
cana-5760	15	48	the	the	DET
cana-5760	15	49	increasing	increase	VERB
cana-5760	15	50	number	number	NOUN
cana-5760	15	51	of	of	ADP
cana-5760	15	52	job	job	NOUN
cana-5760	15	53	seekers	seeker	NOUN
cana-5760	15	54	.	.	PUNCT
cana-5760	16	1	however	however	ADV
cana-5760	16	2	,	,	PUNCT
cana-5760	16	3	the	the	DET
cana-5760	16	4	widespread	widespread	ADJ
cana-5760	16	5	use	use	NOUN
cana-5760	16	6	of	of	ADP
cana-5760	16	7	online	online	ADJ
cana-5760	16	8	recruitment	recruitment	NOUN
cana-5760	16	9	platforms	platform	NOUN
cana-5760	16	10	has	have	AUX
cana-5760	16	11	also	also	ADV
cana-5760	16	12	created	create	VERB
cana-5760	16	13	opportunities	opportunity	NOUN
cana-5760	16	14	for	for	SCONJ
cana-5760	16	15	cybercriminals	cybercriminal	NOUN
cana-5760	16	16	to	to	PART
cana-5760	16	17	exploit	exploit	VERB
cana-5760	16	18	the	the	DET
cana-5760	16	19	system	system	NOUN
cana-5760	16	20	through	through	ADP
cana-5760	16	21	fraudulent	fraudulent	ADJ
cana-5760	16	22	job	job	NOUN
cana-5760	16	23	postings	posting	NOUN
cana-5760	16	24	that	that	PRON
cana-5760	16	25	promise	promise	VERB
cana-5760	16	26	attractive	attractive	ADJ
cana-5760	16	27	salaries	salary	NOUN
cana-5760	16	28	and	and	CCONJ
cana-5760	16	29	benefits	benefit	NOUN
cana-5760	16	30	.	.	PUNCT
cana-5760	17	1	these	these	DET
cana-5760	17	2	scams	scam	NOUN
cana-5760	17	3	have	have	AUX
cana-5760	17	4	led	lead	VERB
cana-5760	17	5	to	to	ADP
cana-5760	17	6	financial	financial	ADJ
cana-5760	17	7	losses	loss	NOUN
cana-5760	17	8	,	,	PUNCT
cana-5760	17	9	identity	identity	NOUN
cana-5760	17	10	theft	theft	NOUN
cana-5760	17	11	,	,	PUNCT
cana-5760	17	12	and	and	CCONJ
cana-5760	17	13	emotional	emotional	ADJ
cana-5760	17	14	distress	distress	NOUN
cana-5760	17	15	for	for	ADP
cana-5760	17	16	many	many	ADJ
cana-5760	17	17	job	job	NOUN
cana-5760	17	18	seekers	seeker	NOUN
cana-5760	17	19	,	,	PUNCT
cana-5760	17	20	highlighting	highlight	VERB
cana-5760	17	21	the	the	DET
cana-5760	17	22	urgent	urgent	ADJ
cana-5760	17	23	need	need	NOUN
cana-5760	17	24	for	for	ADP
cana-5760	17	25	reliable	reliable	ADJ
cana-5760	17	26	mechanisms	mechanism	NOUN
cana-5760	17	27	to	to	PART
cana-5760	17	28	detect	detect	VERB
cana-5760	17	29	and	and	CCONJ
cana-5760	17	30	prevent	prevent	VERB
cana-5760	17	31	online	online	ADJ
cana-5760	17	32	recruitment	recruitment	NOUN
cana-5760	17	33	fraud	fraud	NOUN
cana-5760	17	34	.	.	PUNCT
cana-5760	18	1	to	to	PART
cana-5760	18	2	address	address	VERB
cana-5760	18	3	this	this	DET
cana-5760	18	4	challenge	challenge	NOUN
cana-5760	18	5	,	,	PUNCT
cana-5760	18	6	the	the	DET
cana-5760	18	7	present	present	ADJ
cana-5760	18	8	study	study	NOUN
cana-5760	18	9	proposes	propose	VERB
cana-5760	18	10	a	a	DET
cana-5760	18	11	deep	deep	ADJ
cana-5760	18	12	learning	learning	NOUN
cana-5760	18	13	-	-	PUNCT
cana-5760	18	14	based	base	VERB
cana-5760	18	15	approach	approach	NOUN
cana-5760	18	16	that	that	PRON
cana-5760	18	17	integrates	integrate	VERB
cana-5760	18	18	natural	natural	ADJ
cana-5760	18	19	language	language	NOUN
cana-5760	18	20	processing	processing	NOUN
cana-5760	18	21	(	(	PUNCT
cana-5760	18	22	nlp	nlp	NOUN
cana-5760	18	23	)	)	PUNCT
cana-5760	18	24	techniques	technique	NOUN
cana-5760	18	25	for	for	ADP
cana-5760	18	26	the	the	DET
cana-5760	18	27	detection	detection	NOUN
cana-5760	18	28	of	of	ADP
cana-5760	18	29	fraudulent	fraudulent	ADJ
cana-5760	18	30	job	job	NOUN
cana-5760	18	31	postings	posting	NOUN
cana-5760	18	32	.	.	PUNCT
cana-5760	19	1	by	by	ADP
cana-5760	19	2	incorporating	incorporate	VERB
cana-5760	19	3	intelligent	intelligent	ADJ
cana-5760	19	4	models	model	NOUN
cana-5760	19	5	into	into	ADP
cana-5760	19	6	recruitment	recruitment	NOUN
cana-5760	19	7	systems	system	NOUN
cana-5760	19	8	,	,	PUNCT
cana-5760	19	9	this	this	DET
cana-5760	19	10	approach	approach	NOUN
cana-5760	19	11	aims	aim	VERB
cana-5760	19	12	to	to	PART
cana-5760	19	13	enhance	enhance	VERB
cana-5760	19	14	the	the	DET
cana-5760	19	15	security	security	NOUN
cana-5760	19	16	and	and	CCONJ
cana-5760	19	17	credibility	credibility	NOUN
cana-5760	19	18	of	of	ADP
cana-5760	19	19	e	e	NOUN
cana-5760	19	20	-	-	NOUN
cana-5760	19	21	recruitment	recruitment	NOUN
cana-5760	19	22	platforms	platform	NOUN
cana-5760	19	23	,	,	PUNCT
cana-5760	19	24	ultimately	ultimately	ADV
cana-5760	19	25	ensuring	ensure	VERB
cana-5760	19	26	a	a	DET
cana-5760	19	27	safer	safe	ADJ
cana-5760	19	28	environment	environment	NOUN
cana-5760	19	29	for	for	ADP
cana-5760	19	30	both	both	PRON
cana-5760	19	31	employers	employer	NOUN
cana-5760	19	32	and	and	CCONJ
cana-5760	19	33	job	job	NOUN
cana-5760	19	34	seekers	seeker	NOUN
cana-5760	19	35	.	.	PUNCT
cana-5760	20	1	2	2	X
cana-5760	20	2	.	.	X
cana-5760	20	3	related	relate	VERB
cana-5760	20	4	work	work	NOUN
cana-5760	20	5	the	the	DET
cana-5760	20	6	increasing	increase	VERB
cana-5760	20	7	reliance	reliance	NOUN
cana-5760	20	8	on	on	ADP
cana-5760	20	9	online	online	ADJ
cana-5760	20	10	recruitment	recruitment	NOUN
cana-5760	20	11	platforms	platform	NOUN
cana-5760	20	12	has	have	AUX
cana-5760	20	13	been	be	AUX
cana-5760	20	14	accompanied	accompany	VERB
cana-5760	20	15	by	by	ADP
cana-5760	20	16	a	a	DET
cana-5760	20	17	notable	notable	ADJ
cana-5760	20	18	rise	rise	NOUN
cana-5760	20	19	in	in	ADP
cana-5760	20	20	fraudulent	fraudulent	ADJ
cana-5760	20	21	job	job	NOUN
cana-5760	20	22	postings	posting	NOUN
cana-5760	20	23	,	,	PUNCT
cana-5760	20	24	which	which	PRON
cana-5760	20	25	pose	pose	VERB
cana-5760	20	26	significant	significant	ADJ
cana-5760	20	27	threats	threat	NOUN
cana-5760	20	28	to	to	ADP
cana-5760	20	29	job	job	NOUN
cana-5760	20	30	seekers	seeker	NOUN
cana-5760	20	31	.	.	PUNCT
cana-5760	21	1	in	in	ADP
cana-5760	21	2	an	an	DET
cana-5760	21	3	effort	effort	NOUN
cana-5760	21	4	to	to	PART
cana-5760	21	5	mitigate	mitigate	VERB
cana-5760	21	6	these	these	DET
cana-5760	21	7	risks	risk	NOUN
cana-5760	21	8	,	,	PUNCT
cana-5760	21	9	researchers	researcher	NOUN
cana-5760	21	10	have	have	AUX
cana-5760	21	11	explored	explore	VERB
cana-5760	21	12	various	various	ADJ
cana-5760	21	13	techniques	technique	NOUN
cana-5760	21	14	to	to	PART
cana-5760	21	15	effectively	effectively	ADV
cana-5760	21	16	detect	detect	VERB
cana-5760	21	17	such	such	ADJ
cana-5760	21	18	fraudulent	fraudulent	ADJ
cana-5760	21	19	activity	activity	NOUN
cana-5760	21	20	.	.	PUNCT
cana-5760	22	1	artificial	artificial	ADJ
cana-5760	22	2	neural	neural	ADJ
cana-5760	22	3	networks	network	NOUN
cana-5760	22	4	(	(	PUNCT
cana-5760	22	5	anns	anns	PROPN
cana-5760	22	6	)	)	PUNCT
cana-5760	22	7	have	have	AUX
cana-5760	22	8	shown	show	VERB
cana-5760	22	9	promise	promise	NOUN
cana-5760	22	10	in	in	ADP
cana-5760	22	11	this	this	DET
cana-5760	22	12	domain	domain	NOUN
cana-5760	22	13	,	,	PUNCT
cana-5760	22	14	as	as	SCONJ
cana-5760	22	15	demonstrated	demonstrate	VERB
cana-5760	22	16	by	by	ADP
cana-5760	22	17	nasser	nasser	PROPN
cana-5760	22	18	et	et	PROPN
cana-5760	22	19	al	al	PROPN
cana-5760	22	20	.	.	PUNCT
cana-5760	23	1	[	[	X
cana-5760	23	2	3	3	NUM
cana-5760	23	3	]	]	PUNCT
cana-5760	23	4	,	,	PUNCT
cana-5760	23	5	who	who	PRON
cana-5760	23	6	utilized	utilize	VERB
cana-5760	23	7	anns	anns	NOUN
cana-5760	23	8	to	to	PART
cana-5760	23	9	identify	identify	VERB
cana-5760	23	10	intricate	intricate	ADJ
cana-5760	23	11	patterns	pattern	NOUN
cana-5760	23	12	in	in	ADP
cana-5760	23	13	recruitment	recruitment	NOUN
cana-5760	23	14	datasets	dataset	NOUN
cana-5760	23	15	.	.	PUNCT
cana-5760	24	1	their	their	PRON
cana-5760	24	2	model	model	NOUN
cana-5760	24	3	effectively	effectively	ADV
cana-5760	24	4	captured	capture	VERB
cana-5760	24	5	complex	complex	ADJ
cana-5760	24	6	relationships	relationship	NOUN
cana-5760	24	7	and	and	CCONJ
cana-5760	24	8	demonstrated	demonstrate	VERB
cana-5760	24	9	strong	strong	ADJ
cana-5760	24	10	performance	performance	NOUN
cana-5760	24	11	in	in	ADP
cana-5760	24	12	classifying	classify	VERB
cana-5760	24	13	fraudulent	fraudulent	ADJ
cana-5760	24	14	postings	posting	NOUN
cana-5760	24	15	.	.	PUNCT
cana-5760	25	1	in	in	ADP
cana-5760	25	2	a	a	DET
cana-5760	25	3	similar	similar	ADJ
cana-5760	25	4	vein	vein	NOUN
cana-5760	25	5	,	,	PUNCT
cana-5760	25	6	lokku	lokku	NOUN
cana-5760	26	1	[	[	X
cana-5760	26	2	4	4	NUM
cana-5760	26	3	]	]	X
cana-5760	26	4	employed	employ	VERB
cana-5760	26	5	machine	machine	NOUN
cana-5760	26	6	learning	learn	VERB
cana-5760	26	7	algorithms	algorithm	NOUN
cana-5760	26	8	to	to	PART
cana-5760	26	9	examine	examine	VERB
cana-5760	26	10	the	the	DET
cana-5760	26	11	textual	textual	ADJ
cana-5760	26	12	and	and	CCONJ
cana-5760	26	13	structural	structural	ADJ
cana-5760	26	14	attributes	attribute	NOUN
cana-5760	26	15	of	of	ADP
cana-5760	26	16	job	job	NOUN
cana-5760	26	17	advertisements	advertisement	NOUN
cana-5760	26	18	,	,	PUNCT
cana-5760	26	19	using	use	VERB
cana-5760	26	20	supervised	supervised	ADJ
cana-5760	26	21	learning	learning	NOUN
cana-5760	26	22	methods	method	NOUN
cana-5760	26	23	to	to	PART
cana-5760	26	24	assess	assess	VERB
cana-5760	26	25	the	the	DET
cana-5760	26	26	authenticity	authenticity	NOUN
cana-5760	26	27	of	of	ADP
cana-5760	26	28	listings	listing	NOUN
cana-5760	26	29	with	with	ADP
cana-5760	26	30	encouraging	encouraging	ADJ
cana-5760	26	31	results	result	NOUN
cana-5760	26	32	.	.	PUNCT
cana-5760	27	1	habiba	habiba	PROPN
cana-5760	27	2	et	et	PROPN
cana-5760	27	3	al	al	PROPN
cana-5760	27	4	.	.	PUNCT
cana-5760	28	1	[	[	X
cana-5760	28	2	5	5	NUM
cana-5760	28	3	]	]	PUNCT
cana-5760	28	4	conducted	conduct	VERB
cana-5760	28	5	a	a	DET
cana-5760	28	6	comparative	comparative	ADJ
cana-5760	28	7	study	study	NOUN
cana-5760	28	8	of	of	ADP
cana-5760	28	9	different	different	ADJ
cana-5760	28	10	data	datum	NOUN
cana-5760	28	11	mining	mining	NOUN
cana-5760	28	12	approaches	approach	NOUN
cana-5760	28	13	for	for	ADP
cana-5760	28	14	detecting	detect	VERB
cana-5760	28	15	fake	fake	ADJ
cana-5760	28	16	job	job	NOUN
cana-5760	28	17	postings	posting	NOUN
cana-5760	28	18	,	,	PUNCT
cana-5760	28	19	emphasizing	emphasize	VERB
cana-5760	28	20	the	the	DET
cana-5760	28	21	importance	importance	NOUN
cana-5760	28	22	of	of	ADP
cana-5760	28	23	selecting	select	VERB
cana-5760	28	24	appropriate	appropriate	ADJ
cana-5760	28	25	algorithms	algorithm	NOUN
cana-5760	28	26	and	and	CCONJ
cana-5760	28	27	applying	apply	VERB
cana-5760	28	28	effective	effective	ADJ
cana-5760	28	29	preprocessing	preprocessing	NOUN
cana-5760	28	30	techniques	technique	NOUN
cana-5760	28	31	—	—	PUNCT
cana-5760	28	32	especially	especially	ADV
cana-5760	28	33	when	when	SCONJ
cana-5760	28	34	dealing	deal	VERB
cana-5760	28	35	with	with	ADP
cana-5760	28	36	imbalanced	imbalanced	ADJ
cana-5760	28	37	data	datum	NOUN
cana-5760	28	38	—	—	PUNCT
cana-5760	28	39	to	to	PART
cana-5760	28	40	enhance	enhance	VERB
cana-5760	28	41	prediction	prediction	NOUN
cana-5760	28	42	accuracy	accuracy	NOUN
cana-5760	28	43	.	.	PUNCT
cana-5760	29	1	further	far	ADV
cana-5760	29	2	,	,	PUNCT
cana-5760	29	3	vidros	vidro	NOUN
cana-5760	29	4	et	et	NOUN
cana-5760	29	5	al	al	PROPN
cana-5760	29	6	.	.	PUNCT
cana-5760	30	1	[	[	X
cana-5760	30	2	7	7	X
cana-5760	30	3	]	]	PUNCT
cana-5760	30	4	introduced	introduce	VERB
cana-5760	30	5	an	an	DET
cana-5760	30	6	automated	automate	VERB
cana-5760	30	7	detection	detection	NOUN
cana-5760	30	8	framework	framework	NOUN
cana-5760	30	9	that	that	PRON
cana-5760	30	10	leveraged	leverage	VERB
cana-5760	30	11	the	the	DET
cana-5760	30	12	behavioral	behavioral	ADJ
cana-5760	30	13	characteristics	characteristic	NOUN
cana-5760	30	14	of	of	ADP
cana-5760	30	15	fraudulent	fraudulent	ADJ
cana-5760	30	16	job	job	NOUN
cana-5760	30	17	ads	ad	NOUN
cana-5760	30	18	.	.	PUNCT
cana-5760	31	1	their	their	PRON
cana-5760	31	2	use	use	NOUN
cana-5760	31	3	of	of	ADP
cana-5760	31	4	a	a	DET
cana-5760	31	5	public	public	ADJ
cana-5760	31	6	dataset	dataset	NOUN
cana-5760	31	7	and	and	CCONJ
cana-5760	31	8	machine	machine	NOUN
cana-5760	31	9	learning	learning	NOUN
cana-5760	31	10	models	model	NOUN
cana-5760	31	11	demonstrated	demonstrate	VERB
cana-5760	31	12	the	the	DET
cana-5760	31	13	effectiveness	effectiveness	NOUN
cana-5760	31	14	of	of	ADP
cana-5760	31	15	extracting	extract	VERB
cana-5760	31	16	and	and	CCONJ
cana-5760	31	17	analyzing	analyze	VERB
cana-5760	31	18	key	key	ADJ
cana-5760	31	19	textual	textual	ADJ
cana-5760	31	20	features	feature	NOUN
cana-5760	31	21	to	to	PART
cana-5760	31	22	identify	identify	VERB
cana-5760	31	23	deceptive	deceptive	ADJ
cana-5760	31	24	content	content	NOUN
cana-5760	31	25	.	.	PUNCT
cana-5760	32	1	likewise	likewise	ADV
cana-5760	32	2	,	,	PUNCT
cana-5760	32	3	dutta	dutta	NOUN
cana-5760	32	4	and	and	CCONJ
cana-5760	32	5	bandyopadhyay	bandyopadhyay	NOUN
cana-5760	32	6	[	[	X
cana-5760	32	7	8	8	NUM
cana-5760	32	8	]	]	PUNCT
cana-5760	32	9	explored	explore	VERB
cana-5760	32	10	various	various	ADJ
cana-5760	32	11	machine	machine	NOUN
cana-5760	32	12	learning	learning	NOUN
cana-5760	32	13	models	model	NOUN
cana-5760	32	14	for	for	ADP
cana-5760	32	15	fraud	fraud	NOUN
cana-5760	32	16	detection	detection	NOUN
cana-5760	32	17	,	,	PUNCT
cana-5760	32	18	stressing	stress	VERB
cana-5760	32	19	the	the	DET
cana-5760	32	20	crucial	crucial	ADJ
cana-5760	32	21	role	role	NOUN
cana-5760	32	22	of	of	ADP
cana-5760	32	23	feature	feature	NOUN
cana-5760	32	24	engineering	engineering	NOUN
cana-5760	32	25	in	in	ADP
cana-5760	32	26	boosting	boost	VERB
cana-5760	32	27	model	model	NOUN
cana-5760	32	28	performance	performance	NOUN
cana-5760	32	29	.	.	PUNCT
cana-5760	33	1	they	they	PRON
cana-5760	33	2	also	also	ADV
cana-5760	33	3	addressed	address	VERB
cana-5760	33	4	practical	practical	ADJ
cana-5760	33	5	challenges	challenge	NOUN
cana-5760	33	6	such	such	ADJ
cana-5760	33	7	as	as	ADP
cana-5760	33	8	data	data	NOUN
cana-5760	33	9	noise	noise	NOUN
cana-5760	33	10	and	and	CCONJ
cana-5760	33	11	imbalance	imbalance	NOUN
cana-5760	33	12	,	,	PUNCT
cana-5760	33	13	proposing	propose	VERB
cana-5760	33	14	solutions	solution	NOUN
cana-5760	33	15	to	to	PART
cana-5760	33	16	improve	improve	VERB
cana-5760	33	17	detection	detection	NOUN
cana-5760	33	18	accuracy	accuracy	NOUN
cana-5760	33	19	.	.	PUNCT
cana-5760	34	1	alghamdi	alghamdi	NOUN
cana-5760	34	2	and	and	CCONJ
cana-5760	34	3	alharby	alharby	NOUN
cana-5760	35	1	[	[	X
cana-5760	35	2	9	9	X
cana-5760	35	3	]	]	X
cana-5760	35	4	advanced	advance	VERB
cana-5760	35	5	this	this	DET
cana-5760	35	6	line	line	NOUN
cana-5760	35	7	of	of	ADP
cana-5760	35	8	research	research	NOUN
cana-5760	35	9	by	by	ADP
cana-5760	35	10	developing	develop	VERB
cana-5760	35	11	an	an	DET
cana-5760	35	12	intelligent	intelligent	ADJ
cana-5760	35	13	fraud	fraud	NOUN
cana-5760	35	14	detection	detection	NOUN
cana-5760	35	15	system	system	NOUN
cana-5760	35	16	based	base	VERB
cana-5760	35	17	on	on	ADP
cana-5760	35	18	linguistic	linguistic	ADJ
cana-5760	35	19	analysis	analysis	NOUN
cana-5760	35	20	.	.	PUNCT
cana-5760	36	1	their	their	PRON
cana-5760	36	2	model	model	NOUN
cana-5760	36	3	focused	focus	VERB
cana-5760	36	4	on	on	ADP
cana-5760	36	5	identifying	identify	VERB
cana-5760	36	6	subtle	subtle	ADJ
cana-5760	36	7	inconsistencies	inconsistency	NOUN
cana-5760	36	8	and	and	CCONJ
cana-5760	36	9	patterns	pattern	NOUN
cana-5760	36	10	in	in	ADP
cana-5760	36	11	job	job	NOUN
cana-5760	36	12	descriptions	description	NOUN
cana-5760	36	13	,	,	PUNCT
cana-5760	36	14	and	and	CCONJ
cana-5760	36	15	demonstrated	demonstrate	VERB
cana-5760	36	16	how	how	SCONJ
cana-5760	36	17	combining	combine	VERB
cana-5760	36	18	multiple	multiple	ADJ
cana-5760	36	19	feature	feature	NOUN
cana-5760	36	20	types	type	NOUN
cana-5760	36	21	and	and	CCONJ
cana-5760	36	22	algorithms	algorithm	NOUN
cana-5760	36	23	could	could	AUX
cana-5760	36	24	significantly	significantly	ADV
cana-5760	36	25	enhance	enhance	VERB
cana-5760	36	26	overall	overall	ADJ
cana-5760	36	27	system	system	NOUN
cana-5760	36	28	reliability	reliability	NOUN
cana-5760	36	29	.	.	PUNCT
cana-5760	37	1	collectively	collectively	ADV
cana-5760	37	2	,	,	PUNCT
cana-5760	37	3	these	these	DET
cana-5760	37	4	studies	study	NOUN
cana-5760	37	5	underscore	underscore	VERB
cana-5760	37	6	the	the	DET
cana-5760	37	7	growing	grow	VERB
cana-5760	37	8	sophistication	sophistication	NOUN
cana-5760	37	9	in	in	ADP
cana-5760	37	10	online	online	ADJ
cana-5760	37	11	recruitment	recruitment	NOUN
cana-5760	37	12	fraud	fraud	NOUN
cana-5760	37	13	detection	detection	NOUN
cana-5760	37	14	and	and	CCONJ
cana-5760	37	15	highlight	highlight	VERB
cana-5760	37	16	the	the	DET
cana-5760	37	17	potential	potential	NOUN
cana-5760	37	18	of	of	ADP
cana-5760	37	19	machine	machine	NOUN
cana-5760	37	20	learning	learning	NOUN
cana-5760	37	21	-	-	PUNCT
cana-5760	37	22	based	base	VERB
cana-5760	37	23	approaches	approach	NOUN
cana-5760	37	24	.	.	PUNCT
cana-5760	38	1	however	however	ADV
cana-5760	38	2	,	,	PUNCT
cana-5760	38	3	challenges	challenge	NOUN
cana-5760	38	4	such	such	ADJ
cana-5760	38	5	as	as	ADP
cana-5760	38	6	dataset	dataset	ADJ
cana-5760	38	7	imbalance	imbalance	NOUN
cana-5760	38	8	,	,	PUNCT
cana-5760	38	9	realworld	realworld	PROPN
cana-5760	38	10	noise	noise	NOUN
cana-5760	38	11	,	,	PUNCT
cana-5760	38	12	and	and	CCONJ
cana-5760	38	13	optimal	optimal	ADJ
cana-5760	38	14	feature	feature	NOUN
cana-5760	38	15	selection	selection	NOUN
cana-5760	38	16	remain	remain	VERB
cana-5760	38	17	areas	area	NOUN
cana-5760	38	18	for	for	ADP
cana-5760	38	19	further	further	ADJ
cana-5760	38	20	improvement	improvement	NOUN
cana-5760	38	21	,	,	PUNCT
cana-5760	38	22	providing	provide	VERB
cana-5760	38	23	a	a	DET
cana-5760	38	24	strong	strong	ADJ
cana-5760	38	25	foundation	foundation	NOUN
cana-5760	38	26	for	for	ADP
cana-5760	38	27	the	the	DET
cana-5760	38	28	development	development	NOUN
cana-5760	38	29	of	of	ADP
cana-5760	38	30	more	more	ADV
cana-5760	38	31	robust	robust	ADJ
cana-5760	38	32	detection	detection	NOUN
cana-5760	38	33	models	model	NOUN
cana-5760	38	34	.	.	PUNCT
cana-5760	39	1	communications	communication	NOUN
cana-5760	39	2	on	on	ADP
cana-5760	39	3	applied	apply	VERB
cana-5760	39	4	nonlinear	nonlinear	ADJ
cana-5760	39	5	analysis	analysis	NOUN
cana-5760	39	6	issn	issn	NOUN
cana-5760	39	7	:	:	PUNCT
cana-5760	39	8	1074	1074	NUM
cana-5760	39	9	-	-	PUNCT
cana-5760	39	10	133x	133x	NUM
cana-5760	39	11	vol	vol	NOUN
cana-5760	39	12	32	32	NUM
cana-5760	39	13	no	no	NOUN
cana-5760	39	14	.	.	PUNCT
cana-5760	40	1	3s	3s	NUM
cana-5760	40	2	(	(	PUNCT
cana-5760	40	3	2025	2025	NUM
cana-5760	40	4	)	)	PUNCT
cana-5760	40	5	833	833	NUM
cana-5760	40	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	40	7	3	3	X
cana-5760	40	8	.	.	PUNCT
cana-5760	40	9	materials	material	NOUN
cana-5760	40	10	and	and	CCONJ
cana-5760	40	11	methods	method	NOUN
cana-5760	40	12	the	the	DET
cana-5760	40	13	proposed	propose	VERB
cana-5760	40	14	system	system	NOUN
cana-5760	40	15	aims	aim	VERB
cana-5760	40	16	to	to	PART
cana-5760	40	17	detect	detect	VERB
cana-5760	40	18	online	online	ADJ
cana-5760	40	19	recruitment	recruitment	NOUN
cana-5760	40	20	fraud	fraud	NOUN
cana-5760	40	21	(	(	PUNCT
cana-5760	40	22	orf	orf	PROPN
cana-5760	40	23	)	)	PUNCT
cana-5760	40	24	by	by	ADP
cana-5760	40	25	utilizing	utilize	VERB
cana-5760	40	26	a	a	DET
cana-5760	40	27	novel	novel	ADJ
cana-5760	40	28	and	and	CCONJ
cana-5760	40	29	comprehensive	comprehensive	ADJ
cana-5760	40	30	dataset	dataset	NOUN
cana-5760	40	31	compiled	compile	VERB
cana-5760	40	32	from	from	ADP
cana-5760	40	33	three	three	NUM
cana-5760	40	34	key	key	ADJ
cana-5760	40	35	sources	source	NOUN
cana-5760	40	36	:	:	PUNCT
cana-5760	40	37	the	the	DET
cana-5760	40	38	fake	fake	ADJ
cana-5760	40	39	job	job	NOUN
cana-5760	40	40	posting	post	VERB
cana-5760	40	41	dataset	dataset	NOUN
cana-5760	40	42	[	[	X
cana-5760	40	43	16	16	NUM
cana-5760	40	44	]	]	PUNCT
cana-5760	40	45	,	,	PUNCT
cana-5760	40	46	the	the	DET
cana-5760	40	47	pakistan	pakistan	PROPN
cana-5760	40	48	job	job	NOUN
cana-5760	40	49	posting	post	VERB
cana-5760	40	50	dataset	dataset	NOUN
cana-5760	40	51	[	[	X
cana-5760	40	52	18	18	NUM
cana-5760	40	53	]	]	PUNCT
cana-5760	40	54	,	,	PUNCT
cana-5760	40	55	and	and	CCONJ
cana-5760	40	56	the	the	DET
cana-5760	40	57	us	us	PROPN
cana-5760	40	58	job	job	NOUN
cana-5760	40	59	posting	post	VERB
cana-5760	40	60	dataset	dataset	NOUN
cana-5760	40	61	[	[	X
cana-5760	40	62	17	17	NUM
cana-5760	40	63	]	]	PUNCT
cana-5760	40	64	.	.	PUNCT
cana-5760	41	1	these	these	DET
cana-5760	41	2	datasets	dataset	NOUN
cana-5760	41	3	contain	contain	VERB
cana-5760	41	4	job	job	NOUN
cana-5760	41	5	advertisements	advertisement	NOUN
cana-5760	41	6	labeled	label	VERB
cana-5760	41	7	as	as	ADV
cana-5760	41	8	genuine	genuine	ADJ
cana-5760	41	9	or	or	CCONJ
cana-5760	41	10	fraudulent	fraudulent	ADJ
cana-5760	41	11	,	,	PUNCT
cana-5760	41	12	along	along	ADP
cana-5760	41	13	with	with	ADP
cana-5760	41	14	associated	associated	ADJ
cana-5760	41	15	metadata	metadata	NOUN
cana-5760	41	16	such	such	ADJ
cana-5760	41	17	as	as	ADP
cana-5760	41	18	job	job	NOUN
cana-5760	41	19	descriptions	description	NOUN
cana-5760	41	20	,	,	PUNCT
cana-5760	41	21	company	company	NOUN
cana-5760	41	22	names	name	NOUN
cana-5760	41	23	,	,	PUNCT
cana-5760	41	24	and	and	CCONJ
cana-5760	41	25	other	other	ADJ
cana-5760	41	26	relevant	relevant	ADJ
cana-5760	41	27	attributes	attribute	NOUN
cana-5760	41	28	.	.	PUNCT
cana-5760	42	1	this	this	DET
cana-5760	42	2	diverse	diverse	ADJ
cana-5760	42	3	data	datum	NOUN
cana-5760	42	4	serves	serve	VERB
cana-5760	42	5	as	as	ADP
cana-5760	42	6	the	the	DET
cana-5760	42	7	foundation	foundation	NOUN
cana-5760	42	8	for	for	ADP
cana-5760	42	9	training	training	NOUN
cana-5760	42	10	and	and	CCONJ
cana-5760	42	11	evaluating	evaluate	VERB
cana-5760	42	12	the	the	DET
cana-5760	42	13	fraud	fraud	NOUN
cana-5760	42	14	detection	detection	NOUN
cana-5760	42	15	models	model	NOUN
cana-5760	42	16	.	.	PUNCT
cana-5760	43	1	to	to	PART
cana-5760	43	2	convert	convert	VERB
cana-5760	43	3	textual	textual	ADJ
cana-5760	43	4	job	job	NOUN
cana-5760	43	5	descriptions	description	NOUN
cana-5760	43	6	into	into	ADP
cana-5760	43	7	a	a	DET
cana-5760	43	8	machine	machine	NOUN
cana-5760	43	9	-	-	PUNCT
cana-5760	43	10	readable	readable	ADJ
cana-5760	43	11	format	format	NOUN
cana-5760	43	12	,	,	PUNCT
cana-5760	43	13	the	the	DET
cana-5760	43	14	system	system	NOUN
cana-5760	43	15	employs	employ	VERB
cana-5760	43	16	state	state	NOUN
cana-5760	43	17	-	-	PUNCT
cana-5760	43	18	of	of	ADP
cana-5760	43	19	-	-	PUNCT
cana-5760	43	20	the	the	DET
cana-5760	43	21	-	-	PUNCT
cana-5760	43	22	art	art	NOUN
cana-5760	43	23	deep	deep	ADJ
cana-5760	43	24	learning	learning	NOUN
cana-5760	43	25	models	model	NOUN
cana-5760	43	26	—	—	PUNCT
cana-5760	43	27	bidirectional	bidirectional	ADJ
cana-5760	43	28	encoder	encoder	NOUN
cana-5760	43	29	representations	representation	VERB
cana-5760	43	30	from	from	ADP
cana-5760	43	31	transformers	transformer	NOUN
cana-5760	43	32	(	(	PUNCT
cana-5760	43	33	bert	bert	PROPN
cana-5760	43	34	)	)	PUNCT
cana-5760	44	1	[	[	X
cana-5760	44	2	15	15	NUM
cana-5760	44	3	]	]	PUNCT
cana-5760	44	4	and	and	CCONJ
cana-5760	44	5	its	its	PRON
cana-5760	44	6	optimized	optimize	VERB
cana-5760	44	7	variant	variant	NOUN
cana-5760	44	8	,	,	PUNCT
cana-5760	44	9	roberta	roberta	PROPN
cana-5760	45	1	[	[	X
cana-5760	45	2	12	12	NUM
cana-5760	45	3	]	]	PUNCT
cana-5760	45	4	.	.	PUNCT
cana-5760	46	1	these	these	DET
cana-5760	46	2	models	model	NOUN
cana-5760	46	3	are	be	AUX
cana-5760	46	4	utilized	utilize	VERB
cana-5760	46	5	to	to	PART
cana-5760	46	6	extract	extract	VERB
cana-5760	46	7	contextualized	contextualized	ADJ
cana-5760	46	8	embeddings	embedding	NOUN
cana-5760	46	9	,	,	PUNCT
cana-5760	46	10	transforming	transform	VERB
cana-5760	46	11	raw	raw	ADJ
cana-5760	46	12	textual	textual	ADJ
cana-5760	46	13	data	datum	NOUN
cana-5760	46	14	into	into	ADP
cana-5760	46	15	dense	dense	ADJ
cana-5760	46	16	numerical	numerical	ADJ
cana-5760	46	17	vectors	vector	NOUN
cana-5760	46	18	that	that	PRON
cana-5760	46	19	capture	capture	VERB
cana-5760	46	20	the	the	DET
cana-5760	46	21	semantic	semantic	ADJ
cana-5760	46	22	relationships	relationship	NOUN
cana-5760	46	23	within	within	ADP
cana-5760	46	24	the	the	DET
cana-5760	46	25	job	job	NOUN
cana-5760	46	26	postings	posting	NOUN
cana-5760	46	27	.	.	PUNCT
cana-5760	47	1	these	these	DET
cana-5760	47	2	vectorized	vectorize	VERB
cana-5760	47	3	features	feature	NOUN
cana-5760	47	4	are	be	AUX
cana-5760	47	5	then	then	ADV
cana-5760	47	6	used	use	VERB
cana-5760	47	7	as	as	ADP
cana-5760	47	8	input	input	NOUN
cana-5760	47	9	for	for	ADP
cana-5760	47	10	downstream	downstream	ADJ
cana-5760	47	11	machine	machine	NOUN
cana-5760	47	12	learning	learning	NOUN
cana-5760	47	13	models	model	NOUN
cana-5760	47	14	.	.	PUNCT
cana-5760	48	1	a	a	DET
cana-5760	48	2	major	major	ADJ
cana-5760	48	3	challenge	challenge	NOUN
cana-5760	48	4	in	in	ADP
cana-5760	48	5	fraudulent	fraudulent	ADJ
cana-5760	48	6	job	job	NOUN
cana-5760	48	7	detection	detection	NOUN
cana-5760	48	8	is	be	AUX
cana-5760	48	9	the	the	DET
cana-5760	48	10	issue	issue	NOUN
cana-5760	48	11	of	of	ADP
cana-5760	48	12	class	class	NOUN
cana-5760	48	13	imbalance	imbalance	NOUN
cana-5760	48	14	,	,	PUNCT
cana-5760	48	15	where	where	SCONJ
cana-5760	48	16	genuine	genuine	ADJ
cana-5760	48	17	job	job	NOUN
cana-5760	48	18	listings	listing	NOUN
cana-5760	48	19	far	far	ADV
cana-5760	48	20	outnumber	outnumber	ADV
cana-5760	48	21	fraudulent	fraudulent	ADJ
cana-5760	48	22	ones	one	NOUN
cana-5760	48	23	.	.	PUNCT
cana-5760	49	1	to	to	PART
cana-5760	49	2	mitigate	mitigate	VERB
cana-5760	49	3	this	this	PRON
cana-5760	49	4	,	,	PUNCT
cana-5760	49	5	the	the	DET
cana-5760	49	6	system	system	NOUN
cana-5760	49	7	incorporates	incorporate	VERB
cana-5760	49	8	the	the	DET
cana-5760	49	9	synthetic	synthetic	ADJ
cana-5760	49	10	minority	minority	NOUN
cana-5760	49	11	over	over	ADP
cana-5760	49	12	-	-	PUNCT
cana-5760	49	13	sampling	sample	VERB
cana-5760	49	14	technique	technique	NOUN
cana-5760	49	15	with	with	ADP
cana-5760	49	16	borderline	borderline	NOUN
cana-5760	49	17	detection	detection	NOUN
cana-5760	49	18	(	(	PUNCT
cana-5760	49	19	smobd	smobd	NOUN
cana-5760	49	20	)	)	PUNCT
cana-5760	49	21	,	,	PUNCT
cana-5760	49	22	a	a	DET
cana-5760	49	23	variant	variant	NOUN
cana-5760	49	24	of	of	ADP
cana-5760	49	25	the	the	DET
cana-5760	49	26	traditional	traditional	ADJ
cana-5760	49	27	smote	smote	ADJ
cana-5760	49	28	algorithm	algorithm	NOUN
cana-5760	49	29	[	[	X
cana-5760	49	30	14	14	NUM
cana-5760	49	31	]	]	PUNCT
cana-5760	49	32	.	.	PUNCT
cana-5760	50	1	smobd	smobd	PROPN
cana-5760	50	2	generates	generate	VERB
cana-5760	50	3	synthetic	synthetic	ADJ
cana-5760	50	4	samples	sample	NOUN
cana-5760	50	5	near	near	ADP
cana-5760	50	6	the	the	DET
cana-5760	50	7	decision	decision	NOUN
cana-5760	50	8	boundary	boundary	NOUN
cana-5760	50	9	of	of	ADP
cana-5760	50	10	the	the	DET
cana-5760	50	11	minority	minority	NOUN
cana-5760	50	12	class	class	NOUN
cana-5760	50	13	,	,	PUNCT
cana-5760	50	14	helping	help	VERB
cana-5760	50	15	the	the	DET
cana-5760	50	16	model	model	NOUN
cana-5760	50	17	learn	learn	VERB
cana-5760	50	18	more	more	ADV
cana-5760	50	19	effectively	effectively	ADV
cana-5760	50	20	from	from	ADP
cana-5760	50	21	fraudulent	fraudulent	ADJ
cana-5760	50	22	examples	example	NOUN
cana-5760	50	23	and	and	CCONJ
cana-5760	50	24	reducing	reduce	VERB
cana-5760	50	25	classification	classification	NOUN
cana-5760	50	26	bias.the	bias.the	DET
cana-5760	50	27	processed	process	VERB
cana-5760	50	28	data	datum	NOUN
cana-5760	50	29	—	—	PUNCT
cana-5760	50	30	including	include	VERB
cana-5760	50	31	the	the	DET
cana-5760	50	32	smobd	smobd	NOUN
cana-5760	50	33	-	-	PUNCT
cana-5760	50	34	balanced	balance	VERB
cana-5760	50	35	features	feature	NOUN
cana-5760	50	36	derived	derive	VERB
cana-5760	50	37	from	from	ADP
cana-5760	50	38	bert	bert	PROPN
cana-5760	50	39	and	and	CCONJ
cana-5760	50	40	roberta	roberta	PROPN
cana-5760	50	41	embeddings	embedding	NOUN
cana-5760	50	42	—	—	PUNCT
cana-5760	50	43	is	be	AUX
cana-5760	50	44	then	then	ADV
cana-5760	50	45	passed	pass	VERB
cana-5760	50	46	into	into	ADP
cana-5760	50	47	a	a	DET
cana-5760	50	48	two	two	NUM
cana-5760	50	49	-	-	PUNCT
cana-5760	50	50	dimensional	dimensional	ADJ
cana-5760	50	51	convolutional	convolutional	ADJ
cana-5760	50	52	neural	neural	ADJ
cana-5760	50	53	network	network	NOUN
cana-5760	50	54	(	(	PUNCT
cana-5760	50	55	cnn2d	cnn2d	PROPN
cana-5760	50	56	)	)	PUNCT
cana-5760	50	57	.	.	PUNCT
cana-5760	51	1	cnn2d	cnn2d	PROPN
cana-5760	51	2	is	be	AUX
cana-5760	51	3	chosen	choose	VERB
cana-5760	51	4	for	for	ADP
cana-5760	51	5	its	its	PRON
cana-5760	51	6	ability	ability	NOUN
cana-5760	51	7	to	to	PART
cana-5760	51	8	capture	capture	VERB
cana-5760	51	9	local	local	ADJ
cana-5760	51	10	and	and	CCONJ
cana-5760	51	11	hierarchical	hierarchical	ADJ
cana-5760	51	12	feature	feature	NOUN
cana-5760	51	13	patterns	pattern	NOUN
cana-5760	51	14	,	,	PUNCT
cana-5760	51	15	enhancing	enhance	VERB
cana-5760	51	16	the	the	DET
cana-5760	51	17	system	system	NOUN
cana-5760	51	18	’s	’s	PART
cana-5760	51	19	capacity	capacity	NOUN
cana-5760	51	20	to	to	PART
cana-5760	51	21	distinguish	distinguish	VERB
cana-5760	51	22	between	between	ADP
cana-5760	51	23	legitimate	legitimate	ADJ
cana-5760	51	24	and	and	CCONJ
cana-5760	51	25	fraudulent	fraudulent	ADJ
cana-5760	51	26	postings	posting	NOUN
cana-5760	51	27	.	.	PUNCT
cana-5760	52	1	this	this	DET
cana-5760	52	2	combination	combination	NOUN
cana-5760	52	3	of	of	ADP
cana-5760	52	4	contextual	contextual	ADJ
cana-5760	52	5	embeddings	embedding	NOUN
cana-5760	52	6	,	,	PUNCT
cana-5760	52	7	oversampling	oversample	VERB
cana-5760	52	8	techniques	technique	NOUN
cana-5760	52	9	,	,	PUNCT
cana-5760	52	10	and	and	CCONJ
cana-5760	52	11	deep	deep	ADJ
cana-5760	52	12	learning	learn	VERB
cana-5760	52	13	classification	classification	NOUN
cana-5760	52	14	results	result	NOUN
cana-5760	52	15	in	in	ADP
cana-5760	52	16	a	a	DET
cana-5760	52	17	robust	robust	ADJ
cana-5760	52	18	and	and	CCONJ
cana-5760	52	19	scalable	scalable	ADJ
cana-5760	52	20	fraud	fraud	NOUN
cana-5760	52	21	detection	detection	NOUN
cana-5760	52	22	system	system	NOUN
cana-5760	52	23	.	.	PUNCT
cana-5760	53	1	figure	figure	NOUN
cana-5760	53	2	3.1	3.1	NUM
cana-5760	53	3	:	:	PUNCT
cana-5760	53	4	proposed	propose	VERB
cana-5760	53	5	architecture	architecture	NOUN
cana-5760	53	6	the	the	DET
cana-5760	53	7	proposed	propose	VERB
cana-5760	53	8	architecture	architecture	NOUN
cana-5760	53	9	involves	involve	VERB
cana-5760	53	10	multiple	multiple	ADJ
cana-5760	53	11	stages	stage	NOUN
cana-5760	53	12	:	:	PUNCT
cana-5760	53	13	bert	bert	PROPN
cana-5760	53	14	and	and	CCONJ
cana-5760	53	15	roberta	roberta	PROPN
cana-5760	53	16	are	be	AUX
cana-5760	53	17	first	first	ADV
cana-5760	53	18	used	use	VERB
cana-5760	53	19	to	to	PART
cana-5760	53	20	encode	encode	VERB
cana-5760	53	21	job	job	NOUN
cana-5760	53	22	descriptions	description	NOUN
cana-5760	53	23	into	into	ADP
cana-5760	53	24	vector	vector	NOUN
cana-5760	53	25	representations	representation	NOUN
cana-5760	53	26	.	.	PUNCT
cana-5760	54	1	these	these	DET
cana-5760	54	2	vectors	vector	NOUN
cana-5760	54	3	are	be	AUX
cana-5760	54	4	augmented	augment	VERB
cana-5760	54	5	through	through	ADP
cana-5760	54	6	smobd	smobd	NOUN
cana-5760	54	7	to	to	PART
cana-5760	54	8	balance	balance	VERB
cana-5760	54	9	class	class	NOUN
cana-5760	54	10	distribution	distribution	NOUN
cana-5760	54	11	.	.	PUNCT
cana-5760	55	1	the	the	DET
cana-5760	55	2	enhanced	enhance	VERB
cana-5760	55	3	dataset	dataset	NOUN
cana-5760	55	4	is	be	AUX
cana-5760	55	5	then	then	ADV
cana-5760	55	6	used	use	VERB
cana-5760	55	7	to	to	PART
cana-5760	55	8	train	train	VERB
cana-5760	55	9	models	model	NOUN
cana-5760	55	10	such	such	ADJ
cana-5760	55	11	communications	communication	NOUN
cana-5760	55	12	on	on	ADP
cana-5760	55	13	applied	apply	VERB
cana-5760	55	14	nonlinear	nonlinear	ADJ
cana-5760	55	15	analysis	analysis	NOUN
cana-5760	55	16	issn	issn	NOUN
cana-5760	55	17	:	:	PUNCT
cana-5760	55	18	1074	1074	NUM
cana-5760	55	19	-	-	PUNCT
cana-5760	55	20	133x	133x	NUM
cana-5760	55	21	vol	vol	NOUN
cana-5760	55	22	32	32	NUM
cana-5760	55	23	no	no	NOUN
cana-5760	55	24	.	.	PUNCT
cana-5760	56	1	3s	3s	NUM
cana-5760	56	2	(	(	PUNCT
cana-5760	56	3	2025	2025	NUM
cana-5760	56	4	)	)	PUNCT
cana-5760	56	5	834	834	NUM
cana-5760	56	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	56	7	as	as	ADP
cana-5760	56	8	cnn2d	cnn2d	PROPN
cana-5760	56	9	,	,	PUNCT
cana-5760	56	10	as	as	ADV
cana-5760	56	11	well	well	ADV
cana-5760	56	12	as	as	ADP
cana-5760	56	13	other	other	ADJ
cana-5760	56	14	variants	variant	NOUN
cana-5760	56	15	including	include	VERB
cana-5760	56	16	fig	fig	NOUN
cana-5760	56	17	3.1	3.1	NUM
cana-5760	56	18	smote	smote	NOUN
cana-5760	56	19	-	-	PUNCT
cana-5760	56	20	cnn2d	cnn2d	NOUN
cana-5760	56	21	and	and	CCONJ
cana-5760	56	22	smord	smord	NOUN
cana-5760	56	23	-	-	PUNCT
cana-5760	56	24	based	base	VERB
cana-5760	56	25	classifiers	classifier	NOUN
cana-5760	56	26	.	.	PUNCT
cana-5760	57	1	shuffling	shuffle	VERB
cana-5760	57	2	is	be	AUX
cana-5760	57	3	applied	apply	VERB
cana-5760	57	4	to	to	ADP
cana-5760	57	5	the	the	DET
cana-5760	57	6	data	datum	NOUN
cana-5760	57	7	before	before	ADP
cana-5760	57	8	training	training	NOUN
cana-5760	57	9	to	to	PART
cana-5760	57	10	improve	improve	VERB
cana-5760	57	11	model	model	NOUN
cana-5760	57	12	generalization	generalization	NOUN
cana-5760	57	13	and	and	CCONJ
cana-5760	57	14	prevent	prevent	VERB
cana-5760	57	15	overfitting	overfitting	NOUN
cana-5760	57	16	.	.	PUNCT
cana-5760	58	1	model	model	NOUN
cana-5760	58	2	performance	performance	NOUN
cana-5760	58	3	is	be	AUX
cana-5760	58	4	evaluated	evaluate	VERB
cana-5760	58	5	using	use	VERB
cana-5760	58	6	standard	standard	ADJ
cana-5760	58	7	metrics	metric	NOUN
cana-5760	58	8	,	,	PUNCT
cana-5760	58	9	including	include	VERB
cana-5760	58	10	accuracy	accuracy	NOUN
cana-5760	58	11	,	,	PUNCT
cana-5760	58	12	precision	precision	NOUN
cana-5760	58	13	,	,	PUNCT
cana-5760	58	14	recall	recall	NOUN
cana-5760	58	15	,	,	PUNCT
cana-5760	58	16	and	and	CCONJ
cana-5760	58	17	f1	f1	NOUN
cana-5760	58	18	-	-	PUNCT
cana-5760	58	19	score	score	NOUN
cana-5760	58	20	.	.	PUNCT
cana-5760	59	1	i	i	PRON
cana-5760	59	2	)	)	PUNCT
cana-5760	59	3	dataset	dataset	VERB
cana-5760	59	4	collection	collection	NOUN
cana-5760	59	5	the	the	DET
cana-5760	59	6	datasets	dataset	NOUN
cana-5760	59	7	used	use	VERB
cana-5760	59	8	in	in	ADP
cana-5760	59	9	this	this	DET
cana-5760	59	10	research	research	NOUN
cana-5760	59	11	comprise	comprise	NOUN
cana-5760	59	12	labeled	label	VERB
cana-5760	59	13	job	job	NOUN
cana-5760	59	14	postings	posting	NOUN
cana-5760	59	15	collected	collect	VERB
cana-5760	59	16	from	from	ADP
cana-5760	59	17	reliable	reliable	ADJ
cana-5760	59	18	online	online	ADJ
cana-5760	59	19	recruitment	recruitment	NOUN
cana-5760	59	20	sources	source	NOUN
cana-5760	59	21	.	.	PUNCT
cana-5760	60	1	each	each	DET
cana-5760	60	2	posting	posting	NOUN
cana-5760	60	3	is	be	AUX
cana-5760	60	4	classified	classify	VERB
cana-5760	60	5	as	as	ADP
cana-5760	60	6	either	either	CCONJ
cana-5760	60	7	legitimate	legitimate	ADJ
cana-5760	60	8	or	or	CCONJ
cana-5760	60	9	fraudulent	fraudulent	ADJ
cana-5760	60	10	and	and	CCONJ
cana-5760	60	11	includes	include	VERB
cana-5760	60	12	rich	rich	ADJ
cana-5760	60	13	information	information	NOUN
cana-5760	60	14	such	such	ADJ
cana-5760	60	15	as	as	ADP
cana-5760	60	16	job	job	NOUN
cana-5760	60	17	descriptions	description	NOUN
cana-5760	60	18	,	,	PUNCT
cana-5760	60	19	company	company	NOUN
cana-5760	60	20	details	detail	NOUN
cana-5760	60	21	,	,	PUNCT
cana-5760	60	22	and	and	CCONJ
cana-5760	60	23	other	other	ADJ
cana-5760	60	24	metadata	metadata	NOUN
cana-5760	60	25	necessary	necessary	ADJ
cana-5760	60	26	for	for	ADP
cana-5760	60	27	feature	feature	NOUN
cana-5760	60	28	extraction	extraction	NOUN
cana-5760	60	29	[	[	X
cana-5760	60	30	13	13	NUM
cana-5760	60	31	]	]	PUNCT
cana-5760	60	32	.	.	PUNCT
cana-5760	61	1	the	the	DET
cana-5760	61	2	data	data	NOUN
cana-5760	61	3	is	be	AUX
cana-5760	61	4	stored	store	VERB
cana-5760	61	5	in	in	ADP
cana-5760	61	6	csv	csv	NOUN
cana-5760	61	7	format	format	NOUN
cana-5760	61	8	and	and	CCONJ
cana-5760	61	9	processed	process	VERB
cana-5760	61	10	using	use	VERB
cana-5760	61	11	python	python	NOUN
cana-5760	61	12	-	-	PUNCT
cana-5760	61	13	based	base	VERB
cana-5760	61	14	tools	tool	NOUN
cana-5760	61	15	to	to	PART
cana-5760	61	16	extract	extract	VERB
cana-5760	61	17	relevant	relevant	ADJ
cana-5760	61	18	features	feature	NOUN
cana-5760	61	19	for	for	ADP
cana-5760	61	20	classification	classification	NOUN
cana-5760	61	21	.	.	PUNCT
cana-5760	62	1	this	this	DET
cana-5760	62	2	preprocessing	preprocessing	NOUN
cana-5760	62	3	step	step	NOUN
cana-5760	62	4	is	be	AUX
cana-5760	62	5	essential	essential	ADJ
cana-5760	62	6	for	for	ADP
cana-5760	62	7	preparing	prepare	VERB
cana-5760	62	8	the	the	DET
cana-5760	62	9	data	datum	NOUN
cana-5760	62	10	to	to	PART
cana-5760	62	11	train	train	VERB
cana-5760	62	12	the	the	DET
cana-5760	62	13	fraud	fraud	NOUN
cana-5760	62	14	detection	detection	NOUN
cana-5760	62	15	models	model	NOUN
cana-5760	62	16	and	and	CCONJ
cana-5760	62	17	assess	assess	VERB
cana-5760	62	18	their	their	PRON
cana-5760	62	19	effectiveness	effectiveness	NOUN
cana-5760	62	20	in	in	ADP
cana-5760	62	21	identifying	identify	VERB
cana-5760	62	22	fraudulent	fraudulent	ADJ
cana-5760	62	23	job	job	NOUN
cana-5760	62	24	postings	posting	NOUN
cana-5760	62	25	.	.	PUNCT
cana-5760	63	1	4	4	X
cana-5760	63	2	.	.	NOUN
cana-5760	63	3	results	result	NOUN
cana-5760	63	4	and	and	CCONJ
cana-5760	63	5	discussion	discussion	NOUN
cana-5760	63	6	accuracy	accuracy	NOUN
cana-5760	63	7	:	:	PUNCT
cana-5760	63	8	the	the	DET
cana-5760	63	9	accuracy	accuracy	NOUN
cana-5760	63	10	of	of	ADP
cana-5760	63	11	a	a	DET
cana-5760	63	12	test	test	NOUN
cana-5760	63	13	is	be	AUX
cana-5760	63	14	its	its	PRON
cana-5760	63	15	ability	ability	NOUN
cana-5760	63	16	to	to	PART
cana-5760	63	17	differentiate	differentiate	VERB
cana-5760	63	18	the	the	DET
cana-5760	63	19	patient	patient	ADJ
cana-5760	63	20	and	and	CCONJ
cana-5760	63	21	healthy	healthy	ADJ
cana-5760	63	22	cases	case	NOUN
cana-5760	63	23	correctly	correctly	ADV
cana-5760	63	24	.	.	PUNCT
cana-5760	64	1	to	to	PART
cana-5760	64	2	estimate	estimate	VERB
cana-5760	64	3	the	the	DET
cana-5760	64	4	accuracy	accuracy	NOUN
cana-5760	64	5	of	of	ADP
cana-5760	64	6	a	a	DET
cana-5760	64	7	test	test	NOUN
cana-5760	64	8	,	,	PUNCT
cana-5760	64	9	we	we	PRON
cana-5760	64	10	should	should	AUX
cana-5760	64	11	calculate	calculate	VERB
cana-5760	64	12	the	the	DET
cana-5760	64	13	proportion	proportion	NOUN
cana-5760	64	14	of	of	ADP
cana-5760	64	15	true	true	ADJ
cana-5760	64	16	positive	positive	ADJ
cana-5760	64	17	and	and	CCONJ
cana-5760	64	18	true	true	ADJ
cana-5760	64	19	negative	negative	ADJ
cana-5760	64	20	in	in	ADP
cana-5760	64	21	all	all	DET
cana-5760	64	22	evaluated	evaluated	ADJ
cana-5760	64	23	cases	case	NOUN
cana-5760	64	24	.	.	PUNCT
cana-5760	65	1	mathematically	mathematically	ADV
cana-5760	65	2	,	,	PUNCT
cana-5760	65	3	this	this	PRON
cana-5760	65	4	can	can	AUX
cana-5760	65	5	be	be	AUX
cana-5760	65	6	stated	state	VERB
cana-5760	65	7	as	as	ADP
cana-5760	65	8	:	:	PUNCT
cana-5760	65	9	accuracy	accuracy	NOUN
cana-5760	65	10	=	=	SYM
cana-5760	65	11	tp+tntp+fp+tn+fn(1	tp+tntp+fp+tn+fn(1	NOUN
cana-5760	65	12	)	)	PUNCT
cana-5760	65	13	precision	precision	NOUN
cana-5760	65	14	:	:	PUNCT
cana-5760	65	15	precision	precision	NOUN
cana-5760	65	16	evaluates	evaluate	VERB
cana-5760	65	17	the	the	DET
cana-5760	65	18	fraction	fraction	NOUN
cana-5760	65	19	of	of	ADP
cana-5760	65	20	correctly	correctly	ADV
cana-5760	65	21	classified	classified	ADJ
cana-5760	65	22	instances	instance	NOUN
cana-5760	65	23	or	or	CCONJ
cana-5760	65	24	samples	sample	NOUN
cana-5760	65	25	among	among	ADP
cana-5760	65	26	the	the	DET
cana-5760	65	27	ones	one	NOUN
cana-5760	65	28	classified	classify	VERB
cana-5760	65	29	as	as	ADP
cana-5760	65	30	positives	positive	NOUN
cana-5760	65	31	.	.	PUNCT
cana-5760	66	1	thus	thus	ADV
cana-5760	66	2	,	,	PUNCT
cana-5760	66	3	the	the	DET
cana-5760	66	4	formula	formula	NOUN
cana-5760	66	5	to	to	PART
cana-5760	66	6	calculate	calculate	VERB
cana-5760	66	7	the	the	DET
cana-5760	66	8	precision	precision	NOUN
cana-5760	66	9	is	be	AUX
cana-5760	66	10	given	give	VERB
cana-5760	66	11	by	by	ADP
cana-5760	66	12	:	:	PUNCT
cana-5760	66	13	precision	precision	NOUN
cana-5760	66	14	=	=	SYM
cana-5760	66	15	true	true	ADJ
cana-5760	66	16	positivetrue	positivetrue	ADJ
cana-5760	66	17	positive	positive	ADJ
cana-5760	66	18	+	+	ADJ
cana-5760	66	19	false	false	ADJ
cana-5760	66	20	positive(2	positive(2	NOUN
cana-5760	66	21	)	)	PUNCT
cana-5760	66	22	recall	recall	NOUN
cana-5760	66	23	:	:	PUNCT
cana-5760	66	24	recall	recall	NOUN
cana-5760	66	25	is	be	AUX
cana-5760	66	26	a	a	DET
cana-5760	66	27	metric	metric	ADJ
cana-5760	66	28	in	in	ADP
cana-5760	66	29	machine	machine	NOUN
cana-5760	66	30	learning	learning	NOUN
cana-5760	66	31	that	that	PRON
cana-5760	66	32	measures	measure	VERB
cana-5760	66	33	the	the	DET
cana-5760	66	34	ability	ability	NOUN
cana-5760	66	35	of	of	ADP
cana-5760	66	36	a	a	DET
cana-5760	66	37	model	model	NOUN
cana-5760	66	38	to	to	PART
cana-5760	66	39	identify	identify	VERB
cana-5760	66	40	all	all	DET
cana-5760	66	41	relevant	relevant	ADJ
cana-5760	66	42	instances	instance	NOUN
cana-5760	66	43	of	of	ADP
cana-5760	66	44	a	a	DET
cana-5760	66	45	particular	particular	ADJ
cana-5760	66	46	class	class	NOUN
cana-5760	66	47	.	.	PUNCT
cana-5760	67	1	it	it	PRON
cana-5760	67	2	is	be	AUX
cana-5760	67	3	the	the	DET
cana-5760	67	4	ratio	ratio	NOUN
cana-5760	67	5	of	of	ADP
cana-5760	67	6	correctly	correctly	ADV
cana-5760	67	7	predicted	predict	VERB
cana-5760	67	8	positive	positive	ADJ
cana-5760	67	9	observations	observation	NOUN
cana-5760	67	10	to	to	ADP
cana-5760	67	11	the	the	DET
cana-5760	67	12	total	total	ADJ
cana-5760	67	13	actual	actual	ADJ
cana-5760	67	14	positives	positive	NOUN
cana-5760	67	15	,	,	PUNCT
cana-5760	67	16	providing	provide	VERB
cana-5760	67	17	insights	insight	NOUN
cana-5760	67	18	into	into	ADP
cana-5760	67	19	a	a	DET
cana-5760	67	20	model	model	NOUN
cana-5760	67	21	's	's	PART
cana-5760	67	22	completeness	completeness	NOUN
cana-5760	67	23	in	in	ADP
cana-5760	67	24	capturing	capture	VERB
cana-5760	67	25	instances	instance	NOUN
cana-5760	67	26	of	of	ADP
cana-5760	67	27	a	a	DET
cana-5760	67	28	given	give	VERB
cana-5760	67	29	class	class	NOUN
cana-5760	67	30	.	.	PUNCT
cana-5760	68	1	recall	recall	PROPN
cana-5760	68	2	=	=	NOUN
cana-5760	68	3	tptp	tptp	NOUN
cana-5760	68	4	+	+	CCONJ
cana-5760	68	5	fn(3	fn(3	NOUN
cana-5760	68	6	)	)	PUNCT
cana-5760	68	7	f1	f1	NOUN
cana-5760	68	8	-	-	PUNCT
cana-5760	68	9	score	score	NOUN
cana-5760	69	1	:	:	PUNCT
cana-5760	69	2	f1	f1	ADJ
cana-5760	69	3	score	score	NOUN
cana-5760	69	4	is	be	AUX
cana-5760	69	5	a	a	DET
cana-5760	69	6	machine	machine	NOUN
cana-5760	69	7	learning	learn	VERB
cana-5760	69	8	evaluation	evaluation	NOUN
cana-5760	69	9	metric	metric	NOUN
cana-5760	69	10	that	that	PRON
cana-5760	69	11	measures	measure	VERB
cana-5760	69	12	a	a	DET
cana-5760	69	13	model	model	NOUN
cana-5760	69	14	's	's	PART
cana-5760	69	15	accuracy	accuracy	NOUN
cana-5760	69	16	.	.	PUNCT
cana-5760	70	1	it	it	PRON
cana-5760	70	2	combines	combine	VERB
cana-5760	70	3	the	the	DET
cana-5760	70	4	precision	precision	NOUN
cana-5760	70	5	and	and	CCONJ
cana-5760	70	6	recall	recall	NOUN
cana-5760	70	7	scores	score	NOUN
cana-5760	70	8	of	of	ADP
cana-5760	70	9	a	a	DET
cana-5760	70	10	model	model	NOUN
cana-5760	70	11	.	.	PUNCT
cana-5760	71	1	the	the	DET
cana-5760	71	2	accuracy	accuracy	NOUN
cana-5760	71	3	metric	metric	NOUN
cana-5760	71	4	computes	compute	VERB
cana-5760	71	5	how	how	SCONJ
cana-5760	71	6	many	many	ADJ
cana-5760	71	7	times	time	NOUN
cana-5760	71	8	a	a	DET
cana-5760	71	9	model	model	NOUN
cana-5760	71	10	made	make	VERB
cana-5760	71	11	a	a	DET
cana-5760	71	12	correct	correct	ADJ
cana-5760	71	13	prediction	prediction	NOUN
cana-5760	71	14	across	across	ADP
cana-5760	71	15	the	the	DET
cana-5760	71	16	entire	entire	ADJ
cana-5760	71	17	dataset	dataset	NOUN
cana-5760	71	18	.	.	PUNCT
cana-5760	72	1	f1	f1	PROPN
cana-5760	72	2	score=2*recall	score=2*recall	NOUN
cana-5760	72	3	x	x	PROPN
cana-5760	72	4	precisionrecall+precision*100	precisionrecall+precision*100	PROPN
cana-5760	72	5	(	(	PUNCT
cana-5760	72	6	seq	seq	NOUN
cana-5760	72	7	"	"	PUNCT
cana-5760	72	8	equation	equation	NOUN
cana-5760	72	9	"	"	PUNCT
cana-5760	72	10	\n	\n	PUNCT
cana-5760	73	1	\	\	PROPN
cana-5760	73	2	*	*	PUNCT
cana-5760	73	3	mergeformat	mergeformat	NOUN
cana-5760	73	4	4	4	X
cana-5760	73	5	)	)	PUNCT
cana-5760	73	6	we	we	PRON
cana-5760	73	7	evaluate	evaluate	VERB
cana-5760	73	8	the	the	DET
cana-5760	73	9	performance	performance	NOUN
cana-5760	73	10	metrics	metric	NOUN
cana-5760	73	11	—	—	PUNCT
cana-5760	73	12	accuracy	accuracy	NOUN
cana-5760	73	13	,	,	PUNCT
cana-5760	73	14	precision	precision	NOUN
cana-5760	73	15	,	,	PUNCT
cana-5760	73	16	recall	recall	NOUN
cana-5760	73	17	,	,	PUNCT
cana-5760	73	18	and	and	CCONJ
cana-5760	73	19	f1	f1	NOUN
cana-5760	73	20	-	-	PUNCT
cana-5760	73	21	score	score	NOUN
cana-5760	73	22	—	—	PUNCT
cana-5760	73	23	for	for	ADP
cana-5760	73	24	each	each	DET
cana-5760	73	25	algorithm	algorithm	NOUN
cana-5760	73	26	in	in	ADP
cana-5760	73	27	table	table	NOUN
cana-5760	73	28	1	1	NUM
cana-5760	73	29	.	.	PUNCT
cana-5760	74	1	the	the	DET
cana-5760	74	2	bert	bert	PROPN
cana-5760	74	3	+	+	CCONJ
cana-5760	74	4	smobd	smobd	NOUN
cana-5760	74	5	smote	smote	VERB
cana-5760	74	6	+	+	CCONJ
cana-5760	74	7	cnn2d	cnn2d	PROPN
cana-5760	74	8	achieves	achieve	VERB
cana-5760	74	9	the	the	DET
cana-5760	74	10	highest	high	ADJ
cana-5760	74	11	scores	score	NOUN
cana-5760	74	12	.	.	PUNCT
cana-5760	75	1	the	the	DET
cana-5760	75	2	table	table	NOUN
cana-5760	75	3	below	below	ADV
cana-5760	75	4	also	also	ADV
cana-5760	75	5	presents	present	VERB
cana-5760	75	6	the	the	DET
cana-5760	75	7	metrics	metric	NOUN
cana-5760	75	8	of	of	ADP
cana-5760	75	9	other	other	ADJ
cana-5760	75	10	algorithms	algorithm	NOUN
cana-5760	75	11	for	for	ADP
cana-5760	75	12	comparison	comparison	NOUN
cana-5760	75	13	.	.	PUNCT
cana-5760	76	1	communications	communication	NOUN
cana-5760	76	2	on	on	ADP
cana-5760	76	3	applied	apply	VERB
cana-5760	76	4	nonlinear	nonlinear	ADJ
cana-5760	76	5	analysis	analysis	NOUN
cana-5760	76	6	issn	issn	NOUN
cana-5760	76	7	:	:	PUNCT
cana-5760	76	8	1074	1074	NUM
cana-5760	76	9	-	-	PUNCT
cana-5760	76	10	133x	133x	NUM
cana-5760	76	11	vol	vol	NOUN
cana-5760	76	12	32	32	NUM
cana-5760	76	13	no	no	NOUN
cana-5760	76	14	.	.	PUNCT
cana-5760	77	1	3s	3s	NUM
cana-5760	77	2	(	(	PUNCT
cana-5760	77	3	2025	2025	NUM
cana-5760	77	4	)	)	PUNCT
cana-5760	77	5	835	835	NUM
cana-5760	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	77	7	algorithm	algorithm	NOUN
cana-5760	77	8	name	name	NOUN
cana-5760	77	9	accuracy	accuracy	NOUN
cana-5760	77	10	precision	precision	NOUN
cana-5760	77	11	recall	recall	VERB
cana-5760	77	12	f1score	f1score	PROPN
cana-5760	77	13	bert	bert	PROPN
cana-5760	77	14	+	+	CCONJ
cana-5760	77	15	actual	actual	ADJ
cana-5760	77	16	data	datum	NOUN
cana-5760	77	17	0.9839	0.9839	NUM
cana-5760	77	18	0.5000	0.5000	NUM
cana-5760	77	19	0.4959	0.4959	NUM
cana-5760	77	20	0.4919	0.4919	NUM
cana-5760	77	21	roberta	roberta	NOUN
cana-5760	77	22	+	+	CCONJ
cana-5760	77	23	actual	actual	ADJ
cana-5760	77	24	data	datum	NOUN
cana-5760	77	25	0.9850	0.9850	NUM
cana-5760	77	26	0.5000	0.5000	NUM
cana-5760	77	27	0.4962	0.4962	NUM
cana-5760	77	28	0.4925	0.4925	NUM
cana-5760	77	29	bert	bert	PROPN
cana-5760	77	30	+	+	CCONJ
cana-5760	77	31	smobd	smobd	NOUN
cana-5760	77	32	smote	smite	VERB
cana-5760	77	33	0.9866	0.9866	NUM
cana-5760	78	1	0.8339	0.8339	NUM
cana-5760	78	2	0.8065	0.8065	NUM
cana-5760	78	3	0.7834	0.7834	NUM
cana-5760	78	4	roberta	roberta	NOUN
cana-5760	78	5	+	+	PROPN
cana-5760	78	6	smobd	smobd	NOUN
cana-5760	78	7	smote	smite	VERB
cana-5760	78	8	0.9858	0.9858	NUM
cana-5760	78	9	0.8577	0.8577	NUM
cana-5760	78	10	0.7992	0.7992	NUM
cana-5760	78	11	0.7577	0.7577	NUM
cana-5760	78	12	extension	extension	NOUN
cana-5760	78	13	bert	bert	NOUN
cana-5760	78	14	+	+	CCONJ
cana-5760	78	15	smobd	smobd	NOUN
cana-5760	78	16	smote	smote	VERB
cana-5760	78	17	+	+	CCONJ
cana-5760	78	18	cnn2d	cnn2d	X
cana-5760	79	1	0.9868	0.9868	NUM
cana-5760	79	2	0.8256	0.8256	NUM
cana-5760	79	3	0.8052	0.8052	NUM
cana-5760	80	1	0.7872	0.7872	NUM
cana-5760	80	2	table	table	NOUN
cana-5760	80	3	.	.	PUNCT
cana-5760	81	1	4.1	4.1	NUM
cana-5760	81	2	performance	performance	NOUN
cana-5760	81	3	evaluation	evaluation	NOUN
cana-5760	81	4	metrics	metric	NOUN
cana-5760	81	5	graph.4.1	graph.4.1	NOUN
cana-5760	81	6	comparison	comparison	NOUN
cana-5760	81	7	graphs	graph	NOUN
cana-5760	81	8	graph	graph	NOUN
cana-5760	81	9	1	1	NUM
cana-5760	81	10	displays	display	NOUN
cana-5760	81	11	accuracy	accuracy	NOUN
cana-5760	81	12	in	in	ADP
cana-5760	81	13	light	light	ADJ
cana-5760	81	14	green	green	ADJ
cana-5760	81	15	,	,	PUNCT
cana-5760	81	16	precision	precision	NOUN
cana-5760	81	17	in	in	ADP
cana-5760	81	18	blue	blue	ADJ
cana-5760	81	19	,	,	PUNCT
cana-5760	81	20	recall	recall	VERB
cana-5760	81	21	in	in	ADP
cana-5760	81	22	light	light	NOUN
cana-5760	81	23	yellow	yellow	ADJ
cana-5760	81	24	,	,	PUNCT
cana-5760	81	25	and	and	CCONJ
cana-5760	81	26	the	the	DET
cana-5760	81	27	f1	f1	PROPN
cana-5760	81	28	score	score	NOUN
cana-5760	81	29	in	in	ADP
cana-5760	81	30	green	green	NOUN
cana-5760	81	31	.	.	PUNCT
cana-5760	82	1	the	the	DET
cana-5760	82	2	bert	bert	PROPN
cana-5760	82	3	+	+	CCONJ
cana-5760	82	4	smobd	smobd	NOUN
cana-5760	82	5	smote	smote	VERB
cana-5760	82	6	+	+	CCONJ
cana-5760	82	7	cnn2d	cnn2d	NOUN
cana-5760	82	8	outperforms	outperform	NOUN
cana-5760	82	9	the	the	DET
cana-5760	82	10	other	other	ADJ
cana-5760	82	11	algorithms	algorithm	NOUN
cana-5760	82	12	in	in	ADP
cana-5760	82	13	all	all	DET
cana-5760	82	14	metrics	metric	NOUN
cana-5760	82	15	,	,	PUNCT
cana-5760	82	16	with	with	ADP
cana-5760	82	17	the	the	DET
cana-5760	82	18	highest	high	ADJ
cana-5760	82	19	values	value	NOUN
cana-5760	82	20	compared	compare	VERB
cana-5760	82	21	to	to	ADP
cana-5760	82	22	the	the	DET
cana-5760	82	23	remaining	remain	VERB
cana-5760	82	24	models	model	NOUN
cana-5760	82	25	.	.	PUNCT
cana-5760	83	1	the	the	DET
cana-5760	83	2	above	above	ADJ
cana-5760	83	3	graph	graph	NOUN
cana-5760	83	4	visually	visually	ADV
cana-5760	83	5	represents	represent	VERB
cana-5760	83	6	these	these	DET
cana-5760	83	7	details	detail	NOUN
cana-5760	83	8	.	.	PUNCT
cana-5760	84	1	communications	communication	NOUN
cana-5760	84	2	on	on	ADP
cana-5760	84	3	applied	apply	VERB
cana-5760	84	4	nonlinear	nonlinear	ADJ
cana-5760	84	5	analysis	analysis	NOUN
cana-5760	84	6	issn	issn	NOUN
cana-5760	84	7	:	:	PUNCT
cana-5760	84	8	1074	1074	NUM
cana-5760	84	9	-	-	PUNCT
cana-5760	84	10	133x	133x	NUM
cana-5760	84	11	vol	vol	NOUN
cana-5760	84	12	32	32	NUM
cana-5760	84	13	no	no	NOUN
cana-5760	84	14	.	.	PUNCT
cana-5760	85	1	3s	3s	NUM
cana-5760	85	2	(	(	PUNCT
cana-5760	85	3	2025	2025	NUM
cana-5760	85	4	)	)	PUNCT
cana-5760	85	5	836	836	NUM
cana-5760	85	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	86	1	fig.5	fig.5	PROPN
cana-5760	86	2	home	home	NOUN
cana-5760	86	3	page	page	NOUN
cana-5760	86	4	in	in	ADP
cana-5760	86	5	above	above	ADP
cana-5760	86	6	fig.5	fig.5	ADP
cana-5760	86	7	user	user	NOUN
cana-5760	86	8	interface	interface	NOUN
cana-5760	86	9	dashboard	dashboard	NOUN
cana-5760	86	10	with	with	ADP
cana-5760	86	11	navigation	navigation	NOUN
cana-5760	86	12	and	and	CCONJ
cana-5760	86	13	a	a	DET
cana-5760	86	14	welcome	welcome	ADJ
cana-5760	86	15	message	message	NOUN
cana-5760	86	16	.	.	PUNCT
cana-5760	87	1	fig.6	fig.6	VERB
cana-5760	87	2	registration	registration	NOUN
cana-5760	87	3	page	page	NOUN
cana-5760	87	4	in	in	ADP
cana-5760	87	5	above	above	ADP
cana-5760	87	6	fig.6	fig.6	PROPN
cana-5760	87	7	sign	sign	VERB
cana-5760	87	8	-	-	PUNCT
cana-5760	87	9	up	up	ADP
cana-5760	87	10	form	form	NOUN
cana-5760	87	11	with	with	ADP
cana-5760	87	12	fields	field	NOUN
cana-5760	87	13	for	for	ADP
cana-5760	87	14	username	username	NOUN
cana-5760	87	15	,	,	PUNCT
cana-5760	87	16	name	name	NOUN
cana-5760	87	17	,	,	PUNCT
cana-5760	87	18	email	email	NOUN
cana-5760	87	19	,	,	PUNCT
cana-5760	87	20	mobile	mobile	ADJ
cana-5760	87	21	number	number	NOUN
cana-5760	87	22	,	,	PUNCT
cana-5760	87	23	and	and	CCONJ
cana-5760	87	24	password	password	NOUN
cana-5760	87	25	buttons	button	NOUN
cana-5760	87	26	.	.	PUNCT
cana-5760	88	1	communications	communication	NOUN
cana-5760	88	2	on	on	ADP
cana-5760	88	3	applied	apply	VERB
cana-5760	88	4	nonlinear	nonlinear	ADJ
cana-5760	88	5	analysis	analysis	NOUN
cana-5760	88	6	issn	issn	NOUN
cana-5760	88	7	:	:	PUNCT
cana-5760	88	8	1074	1074	NUM
cana-5760	88	9	-	-	PUNCT
cana-5760	88	10	133x	133x	NUM
cana-5760	88	11	vol	vol	NOUN
cana-5760	88	12	32	32	NUM
cana-5760	88	13	no	no	NOUN
cana-5760	88	14	.	.	PUNCT
cana-5760	89	1	3s	3s	NUM
cana-5760	89	2	(	(	PUNCT
cana-5760	89	3	2025	2025	NUM
cana-5760	89	4	)	)	PUNCT
cana-5760	89	5	837	837	NUM
cana-5760	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	89	7	fig.7	fig.7	ADJ
cana-5760	89	8	login	login	NOUN
cana-5760	89	9	page	page	NOUN
cana-5760	89	10	in	in	ADP
cana-5760	89	11	above	above	ADP
cana-5760	89	12	fig.7	fig.7	ADJ
cana-5760	89	13	sign	sign	NOUN
cana-5760	89	14	-	-	PUNCT
cana-5760	89	15	in	in	ADP
cana-5760	89	16	form	form	NOUN
cana-5760	89	17	with	with	ADP
cana-5760	89	18	username	username	NOUN
cana-5760	89	19	and	and	CCONJ
cana-5760	89	20	password	password	NOUN
cana-5760	89	21	fields	field	NOUN
cana-5760	89	22	,	,	PUNCT
cana-5760	89	23	"	"	PUNCT
cana-5760	89	24	remember	remember	VERB
cana-5760	89	25	me	i	PRON
cana-5760	89	26	,	,	PUNCT
cana-5760	89	27	"	"	PUNCT
cana-5760	89	28	"	"	PUNCT
cana-5760	89	29	forgot	forgot	ADJ
cana-5760	89	30	password	password	NOUN
cana-5760	89	31	,	,	PUNCT
cana-5760	89	32	"	"	PUNCT
cana-5760	89	33	.	.	PUNCT
cana-5760	90	1	fig.8	fig.8	PROPN
cana-5760	90	2	upload	upload	VERB
cana-5760	90	3	input	input	NOUN
cana-5760	90	4	page	page	NOUN
cana-5760	90	5	in	in	ADP
cana-5760	90	6	above	above	ADP
cana-5760	90	7	fig.8	fig.8	PROPN
cana-5760	90	8	form	form	NOUN
cana-5760	90	9	with	with	ADP
cana-5760	90	10	coordinate	coordinate	NOUN
cana-5760	90	11	input	input	NOUN
cana-5760	90	12	field	field	NOUN
cana-5760	90	13	and	and	CCONJ
cana-5760	90	14	upload	upload	VERB
cana-5760	90	15	button	button	NOUN
cana-5760	90	16	.	.	PUNCT
cana-5760	91	1	fig.9	fig.9	PROPN
cana-5760	91	2	predict	predict	VERB
cana-5760	91	3	result	result	NOUN
cana-5760	91	4	for	for	SCONJ
cana-5760	91	5	given	give	VERB
cana-5760	91	6	input	input	NOUN
cana-5760	91	7	communications	communication	NOUN
cana-5760	91	8	on	on	ADP
cana-5760	91	9	applied	apply	VERB
cana-5760	91	10	nonlinear	nonlinear	ADJ
cana-5760	91	11	analysis	analysis	NOUN
cana-5760	91	12	issn	issn	NOUN
cana-5760	91	13	:	:	PUNCT
cana-5760	91	14	1074	1074	NUM
cana-5760	91	15	-	-	PUNCT
cana-5760	91	16	133x	133x	NUM
cana-5760	91	17	vol	vol	NOUN
cana-5760	91	18	32	32	NUM
cana-5760	91	19	no	no	NOUN
cana-5760	91	20	.	.	PUNCT
cana-5760	92	1	3s	3s	NUM
cana-5760	92	2	(	(	PUNCT
cana-5760	92	3	2025	2025	NUM
cana-5760	92	4	)	)	PUNCT
cana-5760	92	5	838	838	NUM
cana-5760	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	92	7	in	in	ADP
cana-5760	92	8	above	above	ADP
cana-5760	92	9	fig.9	fig.9	PROPN
cana-5760	92	10	predicted	predict	VERB
cana-5760	92	11	result	result	NOUN
cana-5760	92	12	based	base	VERB
cana-5760	92	13	on	on	ADP
cana-5760	92	14	the	the	DET
cana-5760	92	15	input	input	NOUN
cana-5760	92	16	test	test	NOUN
cana-5760	92	17	data	datum	NOUN
cana-5760	92	18	.	.	PUNCT
cana-5760	93	1	5	5	X
cana-5760	93	2	.	.	X
cana-5760	93	3	conclusions	conclusion	NOUN
cana-5760	93	4	and	and	CCONJ
cana-5760	93	5	future	future	ADJ
cana-5760	93	6	work	work	NOUN
cana-5760	93	7	conclusion	conclusion	NOUN
cana-5760	93	8	:	:	PUNCT
cana-5760	93	9	the	the	DET
cana-5760	93	10	proposed	propose	VERB
cana-5760	93	11	system	system	NOUN
cana-5760	93	12	for	for	ADP
cana-5760	93	13	detecting	detect	VERB
cana-5760	93	14	online	online	ADJ
cana-5760	93	15	recruitment	recruitment	NOUN
cana-5760	93	16	fraud	fraud	NOUN
cana-5760	93	17	(	(	PUNCT
cana-5760	93	18	orf	orf	PROPN
cana-5760	93	19	)	)	PUNCT
cana-5760	93	20	offers	offer	VERB
cana-5760	93	21	an	an	DET
cana-5760	93	22	effective	effective	ADJ
cana-5760	93	23	solution	solution	NOUN
cana-5760	93	24	to	to	ADP
cana-5760	93	25	the	the	DET
cana-5760	93	26	increasing	increase	VERB
cana-5760	93	27	problem	problem	NOUN
cana-5760	93	28	of	of	ADP
cana-5760	93	29	fraudulent	fraudulent	ADJ
cana-5760	93	30	job	job	NOUN
cana-5760	93	31	advertisements	advertisement	NOUN
cana-5760	93	32	on	on	ADP
cana-5760	93	33	digital	digital	ADJ
cana-5760	93	34	hiring	hiring	NOUN
cana-5760	93	35	platforms	platform	NOUN
cana-5760	93	36	.	.	PUNCT
cana-5760	94	1	by	by	ADP
cana-5760	94	2	integrating	integrate	VERB
cana-5760	94	3	cutting	cutting	NOUN
cana-5760	94	4	-	-	PUNCT
cana-5760	94	5	edge	edge	NOUN
cana-5760	94	6	deep	deep	ADJ
cana-5760	94	7	learning	learning	NOUN
cana-5760	94	8	models	model	NOUN
cana-5760	94	9	such	such	ADJ
cana-5760	94	10	as	as	ADP
cana-5760	94	11	bidirectional	bidirectional	ADJ
cana-5760	94	12	encoder	encoder	NOUN
cana-5760	94	13	representations	representation	VERB
cana-5760	94	14	from	from	ADP
cana-5760	94	15	transformers	transformer	NOUN
cana-5760	94	16	(	(	PUNCT
cana-5760	94	17	bert	bert	PROPN
cana-5760	94	18	)	)	PUNCT
cana-5760	94	19	and	and	CCONJ
cana-5760	94	20	its	its	PRON
cana-5760	94	21	improved	improved	ADJ
cana-5760	94	22	version	version	NOUN
cana-5760	94	23	,	,	PUNCT
cana-5760	94	24	roberta	roberta	PROPN
cana-5760	94	25	,	,	PUNCT
cana-5760	94	26	the	the	DET
cana-5760	94	27	system	system	NOUN
cana-5760	94	28	enhances	enhance	VERB
cana-5760	94	29	the	the	DET
cana-5760	94	30	accuracy	accuracy	NOUN
cana-5760	94	31	and	and	CCONJ
cana-5760	94	32	efficiency	efficiency	NOUN
cana-5760	94	33	of	of	ADP
cana-5760	94	34	fraud	fraud	NOUN
cana-5760	94	35	detection	detection	NOUN
cana-5760	94	36	.	.	PUNCT
cana-5760	95	1	these	these	DET
cana-5760	95	2	models	model	NOUN
cana-5760	95	3	successfully	successfully	ADV
cana-5760	95	4	capture	capture	VERB
cana-5760	95	5	the	the	DET
cana-5760	95	6	contextual	contextual	ADJ
cana-5760	95	7	and	and	CCONJ
cana-5760	95	8	semantic	semantic	ADJ
cana-5760	95	9	meaning	meaning	NOUN
cana-5760	95	10	within	within	ADP
cana-5760	95	11	job	job	NOUN
cana-5760	95	12	descriptions	description	NOUN
cana-5760	95	13	,	,	PUNCT
cana-5760	95	14	allowing	allow	VERB
cana-5760	95	15	for	for	ADP
cana-5760	95	16	precise	precise	ADJ
cana-5760	95	17	identification	identification	NOUN
cana-5760	95	18	of	of	ADP
cana-5760	95	19	subtle	subtle	ADJ
cana-5760	95	20	indicators	indicator	NOUN
cana-5760	95	21	of	of	ADP
cana-5760	95	22	fraud	fraud	NOUN
cana-5760	95	23	.	.	PUNCT
cana-5760	96	1	additionally	additionally	ADV
cana-5760	96	2	,	,	PUNCT
cana-5760	96	3	the	the	DET
cana-5760	96	4	application	application	NOUN
cana-5760	96	5	of	of	ADP
cana-5760	96	6	the	the	DET
cana-5760	96	7	smote	smote	PROPN
cana-5760	96	8	smobd	smobd	PROPN
cana-5760	96	9	technique	technique	NOUN
cana-5760	96	10	addresses	address	VERB
cana-5760	96	11	the	the	DET
cana-5760	96	12	issue	issue	NOUN
cana-5760	96	13	of	of	ADP
cana-5760	96	14	class	class	NOUN
cana-5760	96	15	imbalance	imbalance	NOUN
cana-5760	96	16	by	by	ADP
cana-5760	96	17	generating	generate	VERB
cana-5760	96	18	synthetic	synthetic	ADJ
cana-5760	96	19	samples	sample	NOUN
cana-5760	96	20	for	for	ADP
cana-5760	96	21	the	the	DET
cana-5760	96	22	underrepresented	underrepresented	ADJ
cana-5760	96	23	class	class	NOUN
cana-5760	96	24	,	,	PUNCT
cana-5760	96	25	ensuring	ensure	VERB
cana-5760	96	26	that	that	SCONJ
cana-5760	96	27	the	the	DET
cana-5760	96	28	model	model	NOUN
cana-5760	96	29	is	be	AUX
cana-5760	96	30	trained	train	VERB
cana-5760	96	31	fairly	fairly	ADV
cana-5760	96	32	and	and	CCONJ
cana-5760	96	33	is	be	AUX
cana-5760	96	34	not	not	PART
cana-5760	96	35	biased	bias	VERB
cana-5760	96	36	toward	toward	ADP
cana-5760	96	37	legitimate	legitimate	ADJ
cana-5760	96	38	postings	posting	NOUN
cana-5760	96	39	.	.	PUNCT
cana-5760	97	1	one	one	NUM
cana-5760	97	2	of	of	ADP
cana-5760	97	3	the	the	DET
cana-5760	97	4	key	key	ADJ
cana-5760	97	5	highlights	highlight	NOUN
cana-5760	97	6	of	of	ADP
cana-5760	97	7	this	this	DET
cana-5760	97	8	research	research	NOUN
cana-5760	97	9	is	be	AUX
cana-5760	97	10	the	the	DET
cana-5760	97	11	performance	performance	NOUN
cana-5760	97	12	of	of	ADP
cana-5760	97	13	the	the	DET
cana-5760	97	14	combined	combined	ADJ
cana-5760	97	15	model	model	NOUN
cana-5760	97	16	that	that	PRON
cana-5760	97	17	integrates	integrate	VERB
cana-5760	97	18	bert	bert	NOUN
cana-5760	97	19	embeddings	embedding	NOUN
cana-5760	97	20	,	,	PUNCT
cana-5760	97	21	smobd	smobd	NOUN
cana-5760	97	22	oversampling	oversampling	NOUN
cana-5760	97	23	,	,	PUNCT
cana-5760	97	24	and	and	CCONJ
cana-5760	97	25	a	a	DET
cana-5760	97	26	two	two	NUM
cana-5760	97	27	-	-	PUNCT
cana-5760	97	28	dimensional	dimensional	ADJ
cana-5760	97	29	convolutional	convolutional	ADJ
cana-5760	97	30	neural	neural	ADJ
cana-5760	97	31	network	network	NOUN
cana-5760	97	32	(	(	PUNCT
cana-5760	97	33	cnn2d	cnn2d	PROPN
cana-5760	97	34	)	)	PUNCT
cana-5760	97	35	.	.	PUNCT
cana-5760	98	1	this	this	DET
cana-5760	98	2	hybrid	hybrid	ADJ
cana-5760	98	3	architecture	architecture	NOUN
cana-5760	98	4	achieved	achieve	VERB
cana-5760	98	5	a	a	DET
cana-5760	98	6	high	high	ADJ
cana-5760	98	7	classification	classification	NOUN
cana-5760	98	8	accuracy	accuracy	NOUN
cana-5760	98	9	of	of	ADP
cana-5760	98	10	98.68	98.68	NUM
cana-5760	98	11	%	%	NOUN
cana-5760	98	12	,	,	PUNCT
cana-5760	98	13	showcasing	showcase	VERB
cana-5760	98	14	the	the	DET
cana-5760	98	15	effectiveness	effectiveness	NOUN
cana-5760	98	16	of	of	ADP
cana-5760	98	17	combining	combine	VERB
cana-5760	98	18	contextual	contextual	ADJ
cana-5760	98	19	understanding	understanding	NOUN
cana-5760	98	20	,	,	PUNCT
cana-5760	98	21	synthetic	synthetic	ADJ
cana-5760	98	22	data	datum	NOUN
cana-5760	98	23	balancing	balancing	NOUN
cana-5760	98	24	,	,	PUNCT
cana-5760	98	25	and	and	CCONJ
cana-5760	98	26	spatial	spatial	ADJ
cana-5760	98	27	feature	feature	NOUN
cana-5760	98	28	extraction	extraction	NOUN
cana-5760	98	29	for	for	ADP
cana-5760	98	30	fraud	fraud	NOUN
cana-5760	98	31	detection	detection	NOUN
cana-5760	98	32	.	.	PUNCT
cana-5760	99	1	the	the	DET
cana-5760	99	2	system	system	NOUN
cana-5760	99	3	thus	thus	ADV
cana-5760	99	4	provides	provide	VERB
cana-5760	99	5	a	a	DET
cana-5760	99	6	reliable	reliable	ADJ
cana-5760	99	7	and	and	CCONJ
cana-5760	99	8	scalable	scalable	ADJ
cana-5760	99	9	framework	framework	NOUN
cana-5760	99	10	that	that	PRON
cana-5760	99	11	can	can	AUX
cana-5760	99	12	help	help	VERB
cana-5760	99	13	online	online	ADJ
cana-5760	99	14	recruitment	recruitment	NOUN
cana-5760	99	15	platforms	platform	NOUN
cana-5760	99	16	protect	protect	VERB
cana-5760	99	17	job	job	NOUN
cana-5760	99	18	seekers	seeker	NOUN
cana-5760	99	19	from	from	ADP
cana-5760	99	20	scams	scam	NOUN
cana-5760	99	21	and	and	CCONJ
cana-5760	99	22	enhance	enhance	VERB
cana-5760	99	23	the	the	DET
cana-5760	99	24	credibility	credibility	NOUN
cana-5760	99	25	of	of	ADP
cana-5760	99	26	job	job	NOUN
cana-5760	99	27	postings	posting	NOUN
cana-5760	99	28	future	future	ADJ
cana-5760	99	29	work	work	NOUN
cana-5760	99	30	:	:	PUNCT
cana-5760	99	31	looking	look	VERB
cana-5760	99	32	forward	forward	ADV
cana-5760	99	33	,	,	PUNCT
cana-5760	99	34	the	the	DET
cana-5760	99	35	system	system	NOUN
cana-5760	99	36	can	can	AUX
cana-5760	99	37	be	be	AUX
cana-5760	99	38	further	far	ADV
cana-5760	99	39	enhanced	enhance	VERB
cana-5760	99	40	by	by	ADP
cana-5760	99	41	incorporating	incorporate	VERB
cana-5760	99	42	additional	additional	ADJ
cana-5760	99	43	machine	machine	NOUN
cana-5760	99	44	learning	learn	VERB
cana-5760	99	45	techniques	technique	NOUN
cana-5760	99	46	such	such	ADJ
cana-5760	99	47	as	as	ADP
cana-5760	99	48	ensemble	ensemble	ADJ
cana-5760	99	49	learning	learning	NOUN
cana-5760	99	50	,	,	PUNCT
cana-5760	99	51	which	which	PRON
cana-5760	99	52	could	could	AUX
cana-5760	99	53	improve	improve	VERB
cana-5760	99	54	generalization	generalization	NOUN
cana-5760	99	55	by	by	ADP
cana-5760	99	56	combining	combine	VERB
cana-5760	99	57	the	the	DET
cana-5760	99	58	strengths	strength	NOUN
cana-5760	99	59	of	of	ADP
cana-5760	99	60	multiple	multiple	ADJ
cana-5760	99	61	models	model	NOUN
cana-5760	99	62	.	.	PUNCT
cana-5760	100	1	future	future	ADJ
cana-5760	100	2	enhancements	enhancement	NOUN
cana-5760	100	3	may	may	AUX
cana-5760	100	4	also	also	ADV
cana-5760	100	5	include	include	VERB
cana-5760	100	6	advanced	advanced	ADJ
cana-5760	100	7	feature	feature	NOUN
cana-5760	100	8	extraction	extraction	NOUN
cana-5760	100	9	methods	method	NOUN
cana-5760	100	10	,	,	PUNCT
cana-5760	100	11	the	the	DET
cana-5760	100	12	use	use	NOUN
cana-5760	100	13	of	of	ADP
cana-5760	100	14	recurrent	recurrent	ADJ
cana-5760	100	15	neural	neural	ADJ
cana-5760	100	16	networks	network	NOUN
cana-5760	100	17	(	(	PUNCT
cana-5760	100	18	rnns	rnns	PROPN
cana-5760	100	19	)	)	PUNCT
cana-5760	100	20	,	,	PUNCT
cana-5760	100	21	and	and	CCONJ
cana-5760	100	22	attention	attention	NOUN
cana-5760	100	23	mechanisms	mechanism	NOUN
cana-5760	100	24	to	to	PART
cana-5760	100	25	capture	capture	VERB
cana-5760	100	26	the	the	DET
cana-5760	100	27	sequential	sequential	ADJ
cana-5760	100	28	and	and	CCONJ
cana-5760	100	29	contextual	contextual	ADJ
cana-5760	100	30	flow	flow	NOUN
cana-5760	100	31	of	of	ADP
cana-5760	100	32	information	information	NOUN
cana-5760	100	33	in	in	ADP
cana-5760	100	34	job	job	NOUN
cana-5760	100	35	postings	posting	NOUN
cana-5760	100	36	.	.	PUNCT
cana-5760	101	1	moreover	moreover	ADV
cana-5760	101	2	,	,	PUNCT
cana-5760	101	3	applying	apply	VERB
cana-5760	101	4	transfer	transfer	NOUN
cana-5760	101	5	learning	learning	NOUN
cana-5760	101	6	from	from	ADP
cana-5760	101	7	large	large	ADJ
cana-5760	101	8	pre	pre	ADJ
cana-5760	101	9	-	-	ADJ
cana-5760	101	10	trained	train	VERB
cana-5760	101	11	models	model	NOUN
cana-5760	101	12	can	can	AUX
cana-5760	101	13	improve	improve	VERB
cana-5760	101	14	performance	performance	NOUN
cana-5760	101	15	,	,	PUNCT
cana-5760	101	16	especially	especially	ADV
cana-5760	101	17	when	when	SCONJ
cana-5760	101	18	dealing	deal	VERB
cana-5760	101	19	with	with	ADP
cana-5760	101	20	smaller	small	ADJ
cana-5760	101	21	or	or	CCONJ
cana-5760	101	22	domain	domain	NOUN
cana-5760	101	23	-	-	PUNCT
cana-5760	101	24	specific	specific	ADJ
cana-5760	101	25	datasets	dataset	NOUN
cana-5760	101	26	.	.	PUNCT
cana-5760	102	1	these	these	DET
cana-5760	102	2	future	future	ADJ
cana-5760	102	3	directions	direction	NOUN
cana-5760	102	4	aim	aim	VERB
cana-5760	102	5	to	to	PART
cana-5760	102	6	increase	increase	VERB
cana-5760	102	7	the	the	DET
cana-5760	102	8	system	system	NOUN
cana-5760	102	9	's	's	PART
cana-5760	102	10	adaptability	adaptability	NOUN
cana-5760	102	11	,	,	PUNCT
cana-5760	102	12	accuracy	accuracy	NOUN
cana-5760	102	13	,	,	PUNCT
cana-5760	102	14	and	and	CCONJ
cana-5760	102	15	reliability	reliability	NOUN
cana-5760	102	16	,	,	PUNCT
cana-5760	102	17	contributing	contribute	VERB
cana-5760	102	18	to	to	ADP
cana-5760	102	19	a	a	DET
cana-5760	102	20	safer	safe	ADJ
cana-5760	102	21	and	and	CCONJ
cana-5760	102	22	more	more	ADV
cana-5760	102	23	trustworthy	trustworthy	ADJ
cana-5760	102	24	online	online	ADJ
cana-5760	102	25	recruitment	recruitment	NOUN
cana-5760	102	26	environment	environment	NOUN
cana-5760	102	27	.	.	PUNCT
cana-5760	103	1	references	reference	NOUN
cana-5760	103	2	1	1	NUM
cana-5760	103	3	)	)	PUNCT
cana-5760	103	4	r.	r.	PROPN
cana-5760	103	5	l.	l.	PROPN
cana-5760	103	6	siegel	siegel	PROPN
cana-5760	103	7	,	,	PUNCT
cana-5760	103	8	k.	k.	PROPN
cana-5760	103	9	d.	d.	PROPN
cana-5760	103	10	miller	miller	PROPN
cana-5760	103	11	,	,	PUNCT
cana-5760	103	12	h.	h.	PROPN
cana-5760	103	13	e.	e.	PROPN
cana-5760	103	14	fuchs	fuchs	PROPN
cana-5760	103	15	,	,	PUNCT
cana-5760	103	16	and	and	CCONJ
cana-5760	103	17	a.	a.	NOUN
cana-5760	103	18	jemal	jemal	PROPN
cana-5760	103	19	,	,	PUNCT
cana-5760	103	20	“	"	PUNCT
cana-5760	103	21	cancer	cancer	NOUN
cana-5760	103	22	statistics	statistic	NOUN
cana-5760	103	23	,	,	PUNCT
cana-5760	103	24	2021	2021	NUM
cana-5760	103	25	.	.	PUNCT
cana-5760	103	26	,	,	PUNCT
cana-5760	103	27	”	"	PUNCT
cana-5760	103	28	ca	ca	NOUN
cana-5760	103	29	.	.	PUNCT
cana-5760	104	1	cancer	cancer	PROPN
cana-5760	104	2	j.	j.	PROPN
cana-5760	104	3	clin	clin	PROPN
cana-5760	104	4	.	.	PUNCT
cana-5760	104	5	,	,	PUNCT
cana-5760	105	1	vol	vol	NOUN
cana-5760	105	2	.	.	PROPN
cana-5760	106	1	71	71	NUM
cana-5760	106	2	,	,	PUNCT
cana-5760	106	3	no	no	INTJ
cana-5760	106	4	.	.	NOUN
cana-5760	106	5	1	1	NUM
cana-5760	106	6	,	,	PUNCT
cana-5760	106	7	pp	pp	ADJ
cana-5760	106	8	.	.	PUNCT
cana-5760	107	1	7–33	7–33	NUM
cana-5760	107	2	,	,	PUNCT
cana-5760	107	3	jan	jan	PROPN
cana-5760	107	4	.	.	PROPN
cana-5760	107	5	2021	2021	NUM
cana-5760	107	6	,	,	PUNCT
cana-5760	107	7	doi	doi	NOUN
cana-5760	107	8	:	:	PUNCT
cana-5760	107	9	10.3322	10.3322	NUM
cana-5760	107	10	/	/	SYM
cana-5760	107	11	caac.21654	caac.21654	PROPN
cana-5760	107	12	.	.	NOUN
cana-5760	107	13	2	2	NUM
cana-5760	107	14	)	)	PUNCT
cana-5760	107	15	s.	s.	PROPN
cana-5760	107	16	lei	lei	PROPN
cana-5760	107	17	et	et	PROPN
cana-5760	107	18	al	al	PROPN
cana-5760	107	19	.	.	PROPN
cana-5760	107	20	,	,	PUNCT
cana-5760	107	21	“	"	PUNCT
cana-5760	107	22	global	global	ADJ
cana-5760	107	23	patterns	pattern	NOUN
cana-5760	107	24	of	of	ADP
cana-5760	107	25	breast	breast	NOUN
cana-5760	107	26	cancer	cancer	NOUN
cana-5760	107	27	incidence	incidence	NOUN
cana-5760	107	28	and	and	CCONJ
cana-5760	107	29	mortality	mortality	NOUN
cana-5760	107	30	:	:	PUNCT
cana-5760	107	31	a	a	DET
cana-5760	107	32	population‐based	population‐base	VERB
cana-5760	107	33	cancer	cancer	NOUN
cana-5760	107	34	registry	registry	NOUN
cana-5760	107	35	data	datum	NOUN
cana-5760	107	36	analysis	analysis	NOUN
cana-5760	107	37	from	from	ADP
cana-5760	107	38	2000	2000	NUM
cana-5760	107	39	to	to	ADP
cana-5760	107	40	2020	2020	NUM
cana-5760	107	41	,	,	PUNCT
cana-5760	107	42	”	"	PUNCT
cana-5760	107	43	cancer	cancer	NOUN
cana-5760	107	44	commun	commun	PROPN
cana-5760	107	45	.	.	PROPN
cana-5760	107	46	,	,	PUNCT
cana-5760	107	47	vol	vol	NOUN
cana-5760	107	48	.	.	PROPN
cana-5760	108	1	41	41	NUM
cana-5760	108	2	,	,	PUNCT
cana-5760	108	3	no	no	INTJ
cana-5760	108	4	.	.	NOUN
cana-5760	108	5	11	11	NUM
cana-5760	108	6	,	,	PUNCT
cana-5760	108	7	pp	pp	ADJ
cana-5760	108	8	.	.	PUNCT
cana-5760	109	1	1183–1194	1183–1194	NUM
cana-5760	109	2	,	,	PUNCT
cana-5760	109	3	2021	2021	NUM
cana-5760	109	4	.	.	PUNCT
cana-5760	110	1	3	3	X
cana-5760	110	2	)	)	PUNCT
cana-5760	110	3	m.	m.	NOUN
cana-5760	110	4	m.	m.	NOUN
cana-5760	110	5	cackowski	cackowski	PROPN
cana-5760	110	6	et	et	PROPN
cana-5760	110	7	al	al	PROPN
cana-5760	110	8	.	.	PROPN
cana-5760	110	9	,	,	PUNCT
cana-5760	110	10	“	"	PUNCT
cana-5760	110	11	the	the	DET
cana-5760	110	12	absence	absence	NOUN
cana-5760	110	13	of	of	ADP
cana-5760	110	14	lymph	lymph	NOUN
cana-5760	110	15	nodes	node	NOUN
cana-5760	110	16	removed	remove	VERB
cana-5760	110	17	(	(	PUNCT
cana-5760	110	18	pnx	pnx	NOUN
cana-5760	110	19	status	status	NOUN
cana-5760	110	20	)	)	PUNCT
cana-5760	110	21	impacts	impact	VERB
cana-5760	110	22	survival	survival	NOUN
cana-5760	110	23	in	in	ADP
cana-5760	110	24	patients	patient	NOUN
cana-5760	110	25	with	with	ADP
cana-5760	110	26	lung	lung	NOUN
cana-5760	110	27	cancer	cancer	NOUN
cana-5760	110	28	treated	treat	VERB
cana-5760	110	29	surgically	surgically	ADV
cana-5760	110	30	,	,	PUNCT
cana-5760	110	31	”	"	PUNCT
cana-5760	110	32	surg	surg	NOUN
cana-5760	110	33	.	.	PUNCT
cana-5760	111	1	oncol	oncol	PROPN
cana-5760	111	2	.	.	PUNCT
cana-5760	111	3	,	,	PUNCT
cana-5760	111	4	vol	vol	NOUN
cana-5760	111	5	.	.	PROPN
cana-5760	111	6	48	48	NUM
cana-5760	111	7	,	,	PUNCT
cana-5760	111	8	p.	p.	NOUN
cana-5760	111	9	101941	101941	NUM
cana-5760	111	10	,	,	PUNCT
cana-5760	111	11	2023	2023	NUM
cana-5760	111	12	.	.	PUNCT
cana-5760	112	1	communications	communication	NOUN
cana-5760	112	2	on	on	ADP
cana-5760	112	3	applied	apply	VERB
cana-5760	112	4	nonlinear	nonlinear	ADJ
cana-5760	112	5	analysis	analysis	NOUN
cana-5760	112	6	issn	issn	NOUN
cana-5760	112	7	:	:	PUNCT
cana-5760	112	8	1074	1074	NUM
cana-5760	112	9	-	-	PUNCT
cana-5760	112	10	133x	133x	NUM
cana-5760	112	11	vol	vol	NOUN
cana-5760	112	12	32	32	NUM
cana-5760	112	13	no	no	NOUN
cana-5760	112	14	.	.	PUNCT
cana-5760	113	1	3s	3s	NUM
cana-5760	113	2	(	(	PUNCT
cana-5760	113	3	2025	2025	NUM
cana-5760	113	4	)	)	PUNCT
cana-5760	113	5	839	839	NUM
cana-5760	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5760	113	7	4	4	NUM
cana-5760	113	8	)	)	PUNCT
cana-5760	113	9	s.	s.	PROPN
cana-5760	113	10	s.	s.	PROPN
cana-5760	113	11	raoof	raoof	PROPN
cana-5760	113	12	,	,	PUNCT
cana-5760	113	13	m.	m.	NOUN
cana-5760	113	14	a.	a.	NOUN
cana-5760	113	15	jabbar	jabbar	PROPN
cana-5760	113	16	,	,	PUNCT
cana-5760	113	17	and	and	CCONJ
cana-5760	113	18	s.	s.	PROPN
cana-5760	113	19	a.	a.	PROPN
cana-5760	113	20	fathima	fathima	PROPN
cana-5760	113	21	,	,	PUNCT
cana-5760	113	22	“	"	PUNCT
cana-5760	113	23	lung	lung	NOUN
cana-5760	113	24	cancer	cancer	NOUN
cana-5760	113	25	prediction	prediction	NOUN
cana-5760	113	26	using	use	VERB
cana-5760	113	27	machine	machine	NOUN
cana-5760	113	28	learning	learning	NOUN
cana-5760	113	29	:	:	PUNCT
cana-5760	113	30	a	a	DET
cana-5760	113	31	comprehensive	comprehensive	ADJ
cana-5760	113	32	approach	approach	NOUN
cana-5760	113	33	,	,	PUNCT
cana-5760	113	34	”	"	PUNCT
cana-5760	113	35	in	in	ADP
cana-5760	113	36	2020	2020	NUM
cana-5760	113	37	2nd	2nd	ADJ
cana-5760	113	38	international	international	ADJ
cana-5760	113	39	conference	conference	NOUN
cana-5760	113	40	on	on	ADP
cana-5760	113	41	innovative	innovative	ADJ
cana-5760	113	42	mechanisms	mechanism	NOUN
cana-5760	113	43	for	for	ADP
cana-5760	113	44	industry	industry	NOUN
cana-5760	113	45	applications	application	NOUN
cana-5760	113	46	(	(	PUNCT
cana-5760	113	47	icimia	icimia	NOUN
cana-5760	113	48	)	)	PUNCT
cana-5760	113	49	,	,	PUNCT
cana-5760	113	50	2020	2020	NUM
cana-5760	113	51	,	,	PUNCT
cana-5760	113	52	pp	pp	ADJ
cana-5760	113	53	.	.	PUNCT
cana-5760	114	1	108–115	108–115	NUM
cana-5760	114	2	.	.	PUNCT
cana-5760	115	1	doi	doi	NOUN
cana-5760	115	2	:	:	PUNCT
cana-5760	115	3	10.1109	10.1109	NUM
cana-5760	115	4	/	/	SYM
cana-5760	115	5	icimia48430.2020.9074947	icimia48430.2020.9074947	PROPN
cana-5760	115	6	.	.	NOUN
cana-5760	115	7	5	5	NUM
cana-5760	115	8	)	)	PUNCT
cana-5760	115	9	y.	y.	PROPN
cana-5760	115	10	chen	chen	PROPN
cana-5760	115	11	,	,	PUNCT
cana-5760	115	12	e.	e.	PROPN
cana-5760	115	13	zitello	zitello	PROPN
cana-5760	115	14	,	,	PUNCT
cana-5760	115	15	r.	r.	PROPN
cana-5760	115	16	guo	guo	PROPN
cana-5760	115	17	,	,	PUNCT
cana-5760	115	18	and	and	CCONJ
cana-5760	115	19	y.	y.	PROPN
cana-5760	115	20	deng	deng	PROPN
cana-5760	115	21	,	,	PUNCT
cana-5760	115	22	“	"	PUNCT
cana-5760	115	23	the	the	DET
cana-5760	115	24	function	function	NOUN
cana-5760	115	25	of	of	ADP
cana-5760	115	26	lncrnas	lncrna	NOUN
cana-5760	115	27	and	and	CCONJ
cana-5760	115	28	their	their	PRON
cana-5760	115	29	role	role	NOUN
cana-5760	115	30	in	in	ADP
cana-5760	115	31	the	the	DET
cana-5760	115	32	prediction	prediction	NOUN
cana-5760	115	33	,	,	PUNCT
cana-5760	115	34	diagnosis	diagnosis	NOUN
cana-5760	115	35	,	,	PUNCT
cana-5760	115	36	and	and	CCONJ
cana-5760	115	37	prognosis	prognosis	NOUN
cana-5760	115	38	of	of	ADP
cana-5760	115	39	lung	lung	NOUN
cana-5760	115	40	cancer	cancer	NOUN
cana-5760	115	41	,	,	PUNCT
cana-5760	115	42	”	"	PUNCT
cana-5760	115	43	clin	clin	PROPN
cana-5760	115	44	.	.	PUNCT
cana-5760	116	1	transl	transl	PROPN
cana-5760	116	2	.	.	PUNCT
cana-5760	117	1	med	med	PROPN
cana-5760	117	2	.	.	PROPN
cana-5760	117	3	,	,	PUNCT
cana-5760	117	4	vol	vol	NOUN
cana-5760	117	5	.	.	PROPN
cana-5760	118	1	11	11	NUM
cana-5760	118	2	,	,	PUNCT
cana-5760	118	3	no	no	INTJ
cana-5760	118	4	.	.	NOUN
cana-5760	118	5	4	4	NUM
cana-5760	118	6	,	,	PUNCT
cana-5760	118	7	p.	p.	NOUN
cana-5760	119	1	e367	e367	PROPN
cana-5760	119	2	,	,	PUNCT
cana-5760	119	3	2021	2021	NUM
cana-5760	119	4	.	.	PUNCT
cana-5760	120	1	6	6	X
cana-5760	120	2	)	)	PUNCT
cana-5760	120	3	j.	j.	PROPN
cana-5760	120	4	a.	a.	PROPN
cana-5760	120	5	barta	barta	PROPN
cana-5760	120	6	,	,	PUNCT
cana-5760	120	7	c.	c.	PROPN
cana-5760	120	8	a.	a.	PROPN
cana-5760	120	9	powell	powell	PROPN
cana-5760	120	10	,	,	PUNCT
cana-5760	120	11	and	and	CCONJ
cana-5760	120	12	j.	j.	PROPN
cana-5760	120	13	p.	p.	PROPN
cana-5760	120	14	wisnivesky	wisnivesky	PROPN
cana-5760	120	15	,	,	PUNCT
cana-5760	120	16	“	"	PUNCT
cana-5760	120	17	global	global	ADJ
cana-5760	120	18	epidemiology	epidemiology	NOUN
cana-5760	120	19	of	of	ADP
cana-5760	120	20	lung	lung	NOUN
cana-5760	120	21	cancer	cancer	NOUN
cana-5760	120	22	,	,	PUNCT
cana-5760	120	23	”	"	PUNCT
cana-5760	120	24	ann	ann	PROPN
cana-5760	120	25	.	.	PUNCT
cana-5760	120	26	glob	glob	PROPN
cana-5760	120	27	.	.	PUNCT
cana-5760	120	28	heal	heal	PROPN
cana-5760	120	29	.	.	PUNCT
cana-5760	120	30	,	,	PUNCT
cana-5760	120	31	vol	vol	NOUN
cana-5760	120	32	.	.	PROPN
cana-5760	120	33	85	85	NUM
cana-5760	120	34	,	,	PUNCT
cana-5760	120	35	no	no	INTJ
cana-5760	120	36	.	.	NOUN
cana-5760	120	37	1	1	NUM
cana-5760	120	38	,	,	PUNCT
cana-5760	120	39	2019	2019	NUM
cana-5760	120	40	.	.	PUNCT
cana-5760	120	41	7	7	X
cana-5760	120	42	)	)	PUNCT
cana-5760	120	43	m.	m.	NOUN
cana-5760	120	44	a.	a.	NOUN
cana-5760	120	45	heuvelmans	heuvelmans	PROPN
cana-5760	120	46	et	et	PROPN
cana-5760	120	47	al	al	PROPN
cana-5760	120	48	.	.	PROPN
cana-5760	120	49	,	,	PUNCT
cana-5760	120	50	“	"	PUNCT
cana-5760	120	51	lung	lung	NOUN
cana-5760	120	52	cancer	cancer	NOUN
cana-5760	120	53	prediction	prediction	NOUN
cana-5760	120	54	by	by	ADP
cana-5760	120	55	deep	deep	ADJ
cana-5760	120	56	learning	learning	NOUN
cana-5760	120	57	to	to	PART
cana-5760	120	58	identify	identify	VERB
cana-5760	120	59	benign	benign	ADJ
cana-5760	120	60	lung	lung	NOUN
cana-5760	120	61	nodules	nodule	NOUN
cana-5760	120	62	,	,	PUNCT
cana-5760	120	63	”	"	PUNCT
cana-5760	120	64	lung	lung	NOUN
cana-5760	120	65	cancer	cancer	NOUN
cana-5760	120	66	,	,	PUNCT
cana-5760	120	67	vol	vol	NOUN
cana-5760	120	68	.	.	PROPN
cana-5760	120	69	154	154	NUM
cana-5760	120	70	,	,	PUNCT
cana-5760	120	71	no	no	INTJ
cana-5760	120	72	.	.	PUNCT
cana-5760	120	73	november	november	PROPN
cana-5760	120	74	2020	2020	NUM
cana-5760	120	75	,	,	PUNCT
cana-5760	120	76	pp	pp	ADV
cana-5760	120	77	.	.	PUNCT
cana-5760	121	1	1–4	1–4	NUM
cana-5760	121	2	,	,	PUNCT
cana-5760	121	3	2021	2021	NUM
cana-5760	121	4	,	,	PUNCT
cana-5760	121	5	doi	doi	NOUN
cana-5760	121	6	:	:	PUNCT
cana-5760	121	7	10.1016	10.1016	NUM
cana-5760	121	8	/	/	SYM
cana-5760	121	9	j.lungcan.2021.01.027	j.lungcan.2021.01.027	NOUN
cana-5760	121	10	.	.	PUNCT
cana-5760	122	1	8)	8)	NUM
cana-5760	122	2	j.	j.	PROPN
cana-5760	122	3	jumanto	jumanto	PROPN
cana-5760	122	4	,	,	PUNCT
cana-5760	122	5	m.	m.	PROPN
cana-5760	122	6	f.	f.	PROPN
cana-5760	122	7	mardiansyah	mardiansyah	PROPN
cana-5760	122	8	,	,	PUNCT
cana-5760	122	9	r.	r.	PROPN
cana-5760	122	10	pratama	pratama	PROPN
cana-5760	122	11	,	,	PUNCT
cana-5760	122	12	m.	m.	PROPN
cana-5760	122	13	f.	f.	PROPN
cana-5760	122	14	al	al	PROPN
cana-5760	122	15	hakim	hakim	PROPN
cana-5760	122	16	,	,	PUNCT
cana-5760	122	17	and	and	CCONJ
cana-5760	122	18	b.	b.	PROPN
cana-5760	122	19	rawat	rawat	PROPN
cana-5760	122	20	,	,	PUNCT
cana-5760	122	21	“	"	PUNCT
cana-5760	122	22	optimization	optimization	NOUN
cana-5760	122	23	of	of	ADP
cana-5760	122	24	breast	breast	NOUN
cana-5760	122	25	cancer	cancer	NOUN
cana-5760	122	26	classification	classification	NOUN
cana-5760	122	27	using	use	VERB
cana-5760	122	28	feature	feature	NOUN
cana-5760	122	29	selection	selection	NOUN
cana-5760	122	30	on	on	ADP
cana-5760	122	31	neural	neural	ADJ
cana-5760	122	32	network	network	NOUN
cana-5760	122	33	,	,	PUNCT
cana-5760	122	34	”	"	PUNCT
cana-5760	122	35	j.	j.	PROPN
cana-5760	122	36	soft	soft	ADJ
cana-5760	122	37	comput	comput	NOUN
cana-5760	122	38	.	.	PUNCT
cana-5760	123	1	explor	explor	PROPN
cana-5760	123	2	.	.	PUNCT
cana-5760	123	3	,	,	PUNCT
cana-5760	123	4	vol	vol	NOUN
cana-5760	123	5	.	.	PROPN
cana-5760	124	1	3	3	NUM
cana-5760	124	2	,	,	PUNCT
cana-5760	124	3	no	no	INTJ
cana-5760	124	4	.	.	NOUN
cana-5760	124	5	2	2	NUM
cana-5760	124	6	,	,	PUNCT
cana-5760	124	7	pp	pp	ADJ
cana-5760	124	8	.	.	PUNCT
cana-5760	125	1	105–110	105–110	NUM
cana-5760	125	2	,	,	PUNCT
cana-5760	125	3	2022	2022	NUM
cana-5760	125	4	,	,	PUNCT
cana-5760	125	5	doi	doi	NOUN
cana-5760	125	6	:	:	PUNCT
cana-5760	125	7	10.52465	10.52465	NUM
cana-5760	125	8	/	/	SYM
cana-5760	125	9	joscex.v3i2.78	joscex.v3i2.78	NOUN
cana-5760	125	10	.	.	PUNCT
cana-5760	126	1	9	9	X
cana-5760	126	2	)	)	PUNCT
cana-5760	126	3	b.	b.	NOUN
cana-5760	127	1	he	he	PRON
cana-5760	127	2	et	et	PROPN
cana-5760	127	3	al	al	PROPN
cana-5760	127	4	.	.	PROPN
cana-5760	127	5	,	,	PUNCT
cana-5760	127	6	“	"	PUNCT
cana-5760	127	7	image	image	NOUN
cana-5760	127	8	segmentation	segmentation	NOUN
cana-5760	127	9	algorithm	algorithm	NOUN
cana-5760	127	10	of	of	ADP
cana-5760	127	11	lung	lung	NOUN
cana-5760	127	12	cancer	cancer	NOUN
cana-5760	127	13	based	base	VERB
cana-5760	127	14	on	on	ADP
cana-5760	127	15	neural	neural	ADJ
cana-5760	127	16	network	network	NOUN
cana-5760	127	17	model	model	NOUN
cana-5760	127	18	,	,	PUNCT
cana-5760	127	19	”	"	PUNCT
cana-5760	127	20	expert	expert	NOUN
cana-5760	127	21	syst	syst	NOUN
cana-5760	127	22	.	.	PUNCT
cana-5760	127	23	,	,	PUNCT
cana-5760	127	24	vol	vol	NOUN
cana-5760	127	25	.	.	PROPN
cana-5760	127	26	39	39	NUM
cana-5760	127	27	,	,	PUNCT
cana-5760	127	28	no	no	INTJ
cana-5760	127	29	.	.	NOUN
cana-5760	127	30	3	3	NUM
cana-5760	127	31	,	,	PUNCT
cana-5760	127	32	p.	p.	NOUN
cana-5760	127	33	e12822	e12822	NOUN
cana-5760	127	34	,	,	PUNCT
cana-5760	127	35	2022	2022	NUM
cana-5760	127	36	.	.	PUNCT
cana-5760	127	37	10	10	NUM
cana-5760	127	38	)	)	PUNCT
cana-5760	127	39	q.	q.	PROPN
cana-5760	127	40	wang	wang	PROPN
cana-5760	127	41	,	,	PUNCT
cana-5760	127	42	y.	y.	PROPN
cana-5760	127	43	zhou	zhou	PROPN
cana-5760	127	44	,	,	PUNCT
cana-5760	127	45	w.	w.	PROPN
cana-5760	127	46	ding	ding	PROPN
cana-5760	127	47	,	,	PUNCT
cana-5760	127	48	z.	z.	PROPN
cana-5760	127	49	zhang	zhang	PROPN
cana-5760	127	50	,	,	PUNCT
cana-5760	127	51	k.	k.	PROPN
cana-5760	127	52	muhammad	muhammad	PROPN
cana-5760	127	53	,	,	PUNCT
cana-5760	127	54	and	and	CCONJ
cana-5760	127	55	z.	z.	PROPN
cana-5760	127	56	cao	cao	PROPN
cana-5760	127	57	,	,	PUNCT
cana-5760	127	58	“	"	PUNCT
cana-5760	127	59	random	random	ADJ
cana-5760	127	60	forest	forest	NOUN
cana-5760	127	61	with	with	ADP
cana-5760	127	62	self	self	NOUN
cana-5760	127	63	-	-	PUNCT
cana-5760	127	64	paced	pace	VERB
cana-5760	127	65	bootstrap	bootstrap	NOUN
cana-5760	127	66	learning	learning	NOUN
cana-5760	127	67	in	in	ADP
cana-5760	127	68	lung	lung	NOUN
cana-5760	127	69	cancer	cancer	NOUN
cana-5760	127	70	prognosis	prognosis	NOUN
cana-5760	127	71	,	,	PUNCT
cana-5760	127	72	”	"	PUNCT
cana-5760	127	73	acm	acm	PROPN
cana-5760	127	74	trans	trans	PROPN
cana-5760	127	75	.	.	PROPN
cana-5760	127	76	multimed	multimed	PROPN
cana-5760	127	77	.	.	PUNCT
cana-5760	128	1	comput	comput	PROPN
cana-5760	128	2	.	.	PUNCT
cana-5760	129	1	commun	commun	PROPN
cana-5760	129	2	.	.	PUNCT
cana-5760	130	1	appl	appl	PROPN
cana-5760	130	2	.	.	PROPN
cana-5760	130	3	,	,	PUNCT
cana-5760	130	4	vol	vol	NOUN
cana-5760	130	5	.	.	PROPN
cana-5760	131	1	16	16	NUM
cana-5760	131	2	,	,	PUNCT
cana-5760	131	3	no	no	INTJ
cana-5760	131	4	.	.	NOUN
cana-5760	132	1	1s	1s	NUM
cana-5760	132	2	,	,	PUNCT
cana-5760	132	3	pp	pp	PROPN
cana-5760	132	4	.	.	PUNCT
cana-5760	133	1	1–12	1–12	NOUN
cana-5760	133	2	,	,	PUNCT
cana-5760	133	3	2020	2020	NUM
cana-5760	133	4	.	.	PUNCT
cana-5760	134	1	11	11	NUM
cana-5760	134	2	)	)	PUNCT
cana-5760	134	3	s.	s.	PROPN
cana-5760	134	4	wankhade	wankhade	PROPN
cana-5760	134	5	and	and	CCONJ
cana-5760	134	6	s.	s.	PROPN
cana-5760	134	7	vigneshwari	vigneshwari	PROPN
cana-5760	134	8	,	,	PUNCT
cana-5760	134	9	“	"	PUNCT
cana-5760	134	10	a	a	DET
cana-5760	134	11	novel	novel	ADJ
cana-5760	134	12	hybrid	hybrid	ADJ
cana-5760	134	13	deep	deep	ADJ
cana-5760	134	14	learning	learning	NOUN
cana-5760	134	15	method	method	NOUN
cana-5760	134	16	for	for	ADP
cana-5760	134	17	early	early	ADJ
cana-5760	134	18	detection	detection	NOUN
cana-5760	134	19	of	of	ADP
cana-5760	134	20	lung	lung	NOUN
cana-5760	134	21	cancer	cancer	NOUN
cana-5760	134	22	using	use	VERB
cana-5760	134	23	neural	neural	ADJ
cana-5760	134	24	networks	network	NOUN
cana-5760	134	25	,	,	PUNCT
cana-5760	134	26	”	"	PUNCT
cana-5760	134	27	healthc	healthc	PROPN
cana-5760	134	28	.	.	PUNCT
cana-5760	135	1	anal	anal	PROPN
cana-5760	135	2	.	.	PUNCT
cana-5760	135	3	,	,	PUNCT
cana-5760	136	1	p.	p.	NOUN
cana-5760	136	2	100195	100195	NUM
cana-5760	136	3	,	,	PUNCT
cana-5760	136	4	2023	2023	NUM
cana-5760	136	5	.	.	PUNCT