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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