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

Table 3

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

Keywords (pcs)	Algorithm	(%)	R (%)	F (%)
3	T1	38.39	13.82	20.33
	T2	44.38	15.98	23.50
	T3	51.87	18.68	27.47
	T4	5.24	1.89	2.78
	T5	57.87	20.84	30.64
	T6	52.81	19.02	27.96
	T7	47.19	16.99	24.99
	T8	31.84	11.46	16.86
	RDD-WRank	57.87	20.84	30.64
5	T1	39.44	23.67	29.58
	T2	42.25	25.35	31.69
	T3	49.55	29.73	37.17
	T4	5.73	3.44	4.30
	T5	51.69	31.02	38.77
	T6	47.30	28.39	35.48
	T7	43.37	26.03	32.53
	T8	35.62	21.38	26.72
	RDD-WRank	52.47	31.49	39.36
7	T1	40.29	33.85	36.79
	T2	41.01	34.46	37.45
	T3	44.38	37.29	40.53
	T4	6.50	5.46	5.94
	T5	46.71	39.24	42.65
	T6	43.02	36.14	39.28
	T7	42.46	35.67	38.77
	T8	38.44	32.30	35.10
	RDD-WRank	47.75	40.12	43.61
10	T1	37.42	44.91	40.82
	T2	37.70	45.25	41.13
	T3	37.58	45.11	41.01
	T4	6.91	8.29	7.54
	T5	39.04	46.86	42.60
	T6	38.20	45.85	41.68
	T7	37.98	45.58	41.43
	T8	36.24	43.49	39.53
	RDD-WRank	42.02	50.44	45.85