Research Article
Performance Assessment of Multiple Classifiers Based on Ensemble Feature Selection Scheme for Sentiment Analysis
Table 4
Results of the proposed model for movie review data set.
| Method | Classifier | SVM | MNB | KNN | ME | Prec | Recall | F-Score | Prec | Recall | F -Score | Prec | Recall | F –Score | Prec | Recall | F-Score |
| Unigram | 86.6 | 82.4 | 84.44 | 85.7 | 82.4 | 84.01 | 84.1 | 80.2 | 82.10 | 84.7 | 83.1 | 83.89 | Bigram | 87.4 | 84.8 | 86.08 | 82.1 | 80.7 | 81.39 | 83.0 | 80.8 | 81.88 | 82.4 | 80.0 | 81.18 | Unigram+ | 86.2 | 83.2 | 84.67 | 86.2 | 83.4 | 84.77 | 78.6 | 76.1 | 77.32 | 86.6 | 82.8 | 84.65 | Bigram | | | | | | | | | | | | | CompIG | 92.5 | 88.1 | 90.24 | 88.9 | 87.2 | 88.04 | 87.4 | 83.6 | 83.45 | 84.2 | 87.1 | 85.62 | CompCHI | 90.0 | 87.3 | 88.62 | 86.6 | 84.7 | 85.63 | 86.2 | 82.4 | 80.25 | 87.6 | 84.5 | 86.02 | CompGI | 91.2 | 89.6 | 90.39 | 88.0 | 84.5 | 86.21 | 87.3 | 84.9 | 79.08 | 85.9 | 88.4 | 87.13 | Average | 89.4 | 86.4 | 87.86 | 86.25 | 83.81 | 84.69 | 84.43 | 81.33 | 82.84 | 85.23 | 84.31 | 84.74 |
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