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Accuracy measure (in percentage) for different stemmers and lemmatizer using BoW model.
| Classifier | Normal analysis (BoW) | Porter stemmer | Snowball stemmer | Lancaster stemmer | Lemmatizer |
|---|---|---|---|---|---|
| Multinomial NB | 97.37 | 97.07 | 97.19 | 97.49 | 97.19 |
| Bernoulli NB | 96.77 | 96.83 | 96.77 | 97.13 | 96.83 |
| SVM | 96.95 | 97.13 | 97.13 | 97.67 | 97.13 |
| Decision tree | 95.39 | 96.65 | 96.47 | 96.23 | 96.59 |
| Random forest | 97.19 | 97.43 | 97.37 | 97.43 | 97.25 |
| Logistic regression | 97.85 | 97.91 | 97.91 | 98.15 | 97.85 |
