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Accuracy measure (In percentage) for different stemmers and lemmatizer using TF-IDF model.
| Classifier | Normal Analysis (TF-IDF) | Porter stemmer | Snowball stemmer | Lancaster stemmer | Lemmatizer |
|---|---|---|---|---|---|
| Multinomial NB | 98.21 | 97.85 | 97.85 | 97.85 | 97.97 |
| Bernoulli NB | 96.77 | 96.83 | 96.77 | 97.13 | 96.83 |
| SVM | 96.59 | 96.77 | 96.77 | 97.19 | 96.71 |
| Decision tree | 95.75 | 96.65 | 96.29 | 94.68 | 96.83 |
| Random forest | 97.19 | 97.31 | 97.55 | 97.07 | 97.31 |
| Logistic regression | 94.92 | 94.68 | 94.68 | 95.22 | 94.92 |
