Table 4 The best classification results for pairs of feature selection methods and the English review datasets
From: QER: a new feature selection method for sentiment analysis
QER | DFD | OCFS | CHI2 | IG | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
Size | F measure | Size | F measure | Size | F measure | Size | F measure | Size | F measure | |
Movie | 3000 | LR:0.9550 | 2500 | SVM:0.8640 | 3000 | SVM: 0.8285 | 2500 | NBM:0.9150 | 2500 | NBM:0.9150 |
DVDs | 2500 | NBM:0.9169 | 3000 | NBM:0.8502 | 1000 | NBM:0.7996 | 1000 | NBM:0.8964 | 1000 | NBM:0.8964 |
Electronics | 2000 | NBM:0.8878 | 1500 | NBM:0.8221 | 2000 | SVM: 0.7821 | 1000 | NBM:0.8621 | 1000 | NBM:0.8621 |
Book | 3000 | NBM:0.9162 | 3000 | NBM:0.8628 | 3000 | NBM:0.7899 | 1000 | NBM:0.8879 | 1000 | NBM:0.8879 |
Kitchen | 2000 | NBM:0.9106 | 3000 | LR:0.8893 | 1500 | SVM: 0.8157 | 500 | NBM:0.8964 | 500 | NBM:0.8964 |