Research Article
Text Sentiment Analysis Based on a New Hybrid Network Model
Table 2
Training parameter settings of doc2vec + CNN + BiLSTM + Attention model.
| Name | Parameter | Parameter value |
| doc2vec embedded layer | Embeddings_dim | 200 | Max_len | 200 |
| Convolution layer | Filters | 64 | Kernel_size | 5 | Padding | Valid | Activation | Relu | Strides | 1 |
| Convolution layer | Pool_size | 4 |
| BiLSTM model | Units | 128 | Dropout | 0.5 |
| Full connection layer | Units | 64 | Activation | Relu |
| Output layer | Units | 1 | Activation | Sigmoid |
| Training parameters | Optimizer | Adam | Loss | Binary_cross-entropy | Metrics | Accuracy | Rate | 0.01 | Batch_size | 32 | Epoch | 5 |
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