Table 4. Results using the Tweets dataset and machine learning classifiers using TF-IDF.
| Model | Accuracy | Class | Precision | Recall | F1 score |
|---|---|---|---|---|---|
| CNN-LSTM | 0.92 | Sarcasm | 0.93 | 0.92 | 0.92 |
| Non-sarcasm | 0.92 | 0.92 | 0.92 | ||
| Macro Avg | 0.92 | 0.92 | 0.92 | ||
| RF | 0.85 | Sarcasm | 0.88 | 0.85 | 0.86 |
| Non-sarcasm | 0.84 | 0.83 | 0.83 | ||
| Macro Avg | 0.86 | 0.84 | 0.84 | ||
| ETC | 0.85 | Sarcasm | 0.87 | 0.85 | 0.86 |
| Non-sarcasm | 0.83 | 0.85 | 0.84 | ||
| Macro Avg | 0.85 | 0.85 | 0.85 | ||
| SVC | 0.81 | Sarcasm | 0.81 | 0.81 | 0.81 |
| Non-sarcasm | 0.81 | 0.79 | 0.80 | ||
| Macro Avg | 0.81 | 0.80 | 0.81 | ||
| DT | 0.83 | Sarcasm | 0.83 | 0.83 | 0.83 |
| Non-sarcasm | 0.83 | 0.82 | 0.82 | ||
| Macro Avg | 0.83 | 0.83 | 0.83 |