Research Article
Sentiment Prediction of Textual Data Using Hybrid ConvBidirectional-LSTM Model
| Parameters | Values |
| Embedding dimensions | GloVe = 300 | Kernel size | 5 | Filter | 128 | Activation | Swish | Pool size | 3 | Dropout | 0.3 | Bi-LSTM output size | 512 | Batch size | 128 | Epoch | 15 | Optimizer | Adam | Learning rate | 0.001 | Loss function | Categorical_crossentropy |
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