| Decision Tree Algorithm | |||
| Polarity Identification | precision | recall | f1-score |
| Negative | 0.9 | 0.75 | 0.82 |
| Neutral | 0.75 | 0.6 | 0.67 |
| Positive | 0.85 | 0.93 | 0.89 |
| Naïve Bayes | |||
| Negative | 0.85 | 0.7 | 0.77 |
| Neutral | 0.75 | 0.6 | 0.67 |
| Positive | 0.9 | 0.95 | 0.92 |
| Random Forest | |||
| Negative | 0.83 | 0.5 | 0.68 |
| Neutral | 0.78 | 0.7 | 0.73 |
| Positive | 0.87 | 0.93 | 0.9 |
| Support Vector Machine | |||
| Negative | 0.85 | 0.73 | 0.79 |
| Neutral | 0.72 | 0.57 | 0.64 |
| Positive | 0.85 | 0.89 | 0.87 |
| SDA Algorithm (Hybrid Algorithm) | |||
| Negative | 0.98 | 0.98 | 0.98 |
| Neutral | 0.95 | 0.9 | 0.92 |
| Positive | 0.96 | 0.96 | 0.96 |