A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

Table 8

Performance of four different sentiment lexicons for sentiment word datasets1.

					Average
		0.6240	0.6575	0.57125	0.6176
		0.6469	0.6659	0.5808	0.6312
		0.6352	0.6617	0.5760	0.6243
	AC	0.6240	0.6575	0.57125	0.6176
		0.6270	0.65975	0.5760	0.6209
		0.6550	0.6666	0.5843	0.6353
		0.6407	0.6632	0.5801	0.628
	AC	0.6270	0.65975	0.5760	0.6209
-		0.63175	0.7105	0.60525	0.6492
		0.6409	0.7180	0.6160	0.6583
		0.6363	0.7143	0.6106	0.6537
	AC	0.63175	0.7105	0.60525	0.6492
-		0.63225	0.71075	0.6060	0.6497
		0.6556	0.7183	0.6167	0.6635
		0.6437	0.7145	0.6113	0.6565
	AC	0.63225	0.71075	0.6060	0.6497