A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

Table 9

Performance of four different sentiment lexicons for sentiment word datasets2.

					Average
		0.62375	0.64675	0.6365	0.6357
		0.6542	0.6906	0.6936	0.6795
		0.6386	0.6680	0.6638	0.6568
	AC	0.62375	0.64675	0.6365	0.6357
		0.6270	0.66325	0.65075	0.6470
		0.6552	0.6985	0.7017	0.6851
		0.6408	0.6804	0.6753	0.6655
	AC	0.6270	0.66325	0.65075	0.6470
-		0.68575	0.67375	0.6645	0.6747
		0.6968	0.6961	0.7042	0.6990
		0.6912	0.6847	0.6838	0.6866
	AC	0.68575	0.67375	0.6645	0.6747
-		0.7045	0.6800	0.66975	0.6848
		0.7183	0.6940	0.7058	0.7060
		0.7113	0.6869	0.6873	0.6952
	AC	0.7045	0.6800	0.66975	0.6848