Research Article
Sentiment Classification of Educational Tourism Reviews Based on Parallel CNN and LSTM with Attention Mechanism
| Network parameters | CNN | LSTM |
| Word embedding dimensions | 256 | 256 | Learning ratio | 0.001 | 0.001 | Kernel size | 128 | — | Convolution window size | 2, 3 | — | Hidden layers | — | 256 | Drop_out | 0.5 | 0.5 | Activation function | ReLU | ReLU |
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