[Retracted] TextRank Keyword Extraction Algorithm Using Word Vector Clustering Based on Rough Data-Deduction

Table 2

Comparison of experimental results based on datasets 2 (TopN takes 3, 5, 7, 10).

Keywords (pcs)	Algorithm	(%)	R (%)	F (%)
3	T1	16.03	11.39	13.30
	T2	9.79	6.82	8.03
	T3	7.61	5.32	6.25
	T4	6.39	4.51	5.29
	T5	15.42	10.86	12.73
	T6	15.42	10.89	12.75
	T7	16.10	11.35	13.29
	T8	16.41	11.57	13.56
	RDD-WRank	16.44	11.67	13.63
5	T1	12.90	15.28	13.97
	T2	7.96	9.27	8.55
	T3	6.53	7.62	7.02
	T4	5.96	6.99	6.43
	T5	12.76	15.01	13.78
	T6	13.57	16.02	14.68
	T7	13.46	15.82	14.53
	T8	13.06	15.33	14.09
	RDD-WRank	14.41	17.06	15.60
7	T1	11.06	18.31	13.77
	T2	6.88	11.24	8.53
	T3	5.51	9.02	6.83
	T4	5.74	9.46	7.14
	T5	10.60	17.45	13.17
	T6	11.78	19.49	14.66
	T7	11.19	18.43	13.91
	T8	10.90	17.95	13.55
	RDD-WRank	12.32	20.43	15.35
10	T1	8.89	20.99	12.47
	T2	5.68	13.24	7.94
	T3	4.70	10.98	6.57
	T4	4.82	11.32	6.75
	T5	8.22	19.35	11.53
	T6	10.36	24.55	14.55
	T7	8.38	19.71	11.75
	T8	8.49	19.98	11.90
	RDD-WRank	9.75	23.09	13.69