Table 5. Optimized parameters used for the analysis of deep learning classifiers.
| Parameters | CNN | LSTM | GRU | BERT |
|---|---|---|---|---|
| Dropout Rate | 0.3 | 0.3 | 0.2 | 0.3 |
| Optimizer | Nadam | Adam | Adam | Adam |
| Activation Function | Sigmoid | Relu | Sigmoid | tanh |
| No. of Features | N/A | 2,000 | 2,000 | 3,000 |
| No. of Units | 200 | 50 | 100 | 100 |
| Filter Size | 4 | N/A | N/A | N/A |