A Fuzzy Computing Model for Identifying Polarity of Chinese Sentiment Words

Table 7

Classification result of MBOT, MBOM, and FCM in terms of confusion matrices.

		P_SWD1	N_SWD1	P_SWD2	N_SWD2	P_SWD3	N_SWD3	P_SWD4	N_SWD4
MBOT	I_P	2569	313	1404	1586	1310	169	6865	4070
MBOT	I_N	1349	2521	324	4768	1659	2920	1461	7701
MBOM	I_P	2687	396	1452	1870	1458	237	6855	4037
MBOM	I_N	1231	2438	276	4484	1511	2852	1471	7734
FCMWFP	I_P	2764	445	1240	919	2016	680	6010	2814
FCMWFP	I_N	1154	2389	488	5435	953	2409	2316	8957
FCMWVP	I_P	3324	847	973	466	2017	680	5128	1465
FCMWVP	I_N	594	1987	755	5888	952	2409	3198	10306

I_P means identifying positive sentiment; I_N means identifying negative sentiment.