A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

Table 10

Performance of four different sentiment lexicons for sentiment word datasets3.

					Average
		0.6113	0.6780	0.6110	0.6334
		0.6152	0.6782	0.6178	0.6371
		0.6132	0.6781	0.6144	0.6352
	AC	0.6113	0.6780	0.6110	0.6334
		0.6205	0.6808	0.6133	0.6382
		0.6260	0.6809	0.6206	0.6425
		0.6232	0.68085	0.6169	0.6403
	AC	0.6205	0.6808	0.6133	0.6382
-		0.6463	0.7333	0.6575	0.6790
		0.6513	0.7335	0.6672	0.6840
		0.6488	0.7334	0.6623	0.6815
	AC	0.6463	0.7333	0.6575	0.6790
-		0.6470	0.7350	0.6603	0.6808
		0.6526	0.7352	0.6688	0.6855
		0.6498	0.7351	0.6645	0.6831
	AC	0.6470	0.7350	0.6603	0.6808