Dataset used Link
It contains five pickle files:
Positive Samples
Negative Samples
Conclusion:
| Models Description | Accuracy | F1 Score |
|---|---|---|
| 1. Simple feed-forward network with dense layers on top of embedding layer | 0.9660 | 0.9231 |
| 2. Without pre-trained word embeddings | 0.9839 | 0.9568 |
| 3. Using Simple RNN layer on top of embedding layer | 0.9686 | 0.9413 |
| 4. Using LSTM layer on top of the embedding layer | 0.9587 | 0.9514 |
| 5. Using two Conv1D layers on top of the Embedding layer | 0.9674 | 0.9469 |
| 7. Using GRU layer on top of Conv1D layer | 0.9617 | 0.9462 |
| 8. Using two GRU layers on top of two Conv1D layers | 0.9599 | 0.9472 |