From: QER: a new feature selection method for sentiment analysis
Turkish review datasets | English review datasets | |||||||||
---|---|---|---|---|---|---|---|---|---|---|
Features | NBM | SVM | J48 | LR | Features | NBM | SVM | J48 | LR | |
Movie | 18,578 | 0.8248 | 0.8161 | 0.6954 | – | 38,869 | 0.8129 | 0.8480 | 0.6769 | – |
DVDs | 11,343 | 0.7957 | 0.7320 | 0.6886 | – | 17,674 | 0.7836 | 0.7649 | 0.6789 | – |
Electronics | 10,911 | 0.8155 | 0.7707 | 0.7371 | – | 9010 | 0.7629 | 0.7856 | 0.6750 | – |
Book | 10,511 | 0.8317 | 0.7955 | 0.7019 | – | 18,306 | 0.7619 | 0.7485 | 0.6407 | – |
Kitchen | 9447 | 0.7762 | 0.7407 | 0.6647 | – | 8076 | 0.8099 | 0.8136 | 0.7093 | – |