Research Article
Traditional Chinese Medicine Text Similarity Calculation Model Based on the Bidirectional Temporal Siamese Network
Table 4
The comparison of different similarity calculation models.
| Datasets | Financial data | TCM data | Models | Training set accuracy | Test set accuracy | Training set accuracy | Test set accuracy |
| TF-IDF | 0.7042 | 0.7102 | 0.5967 | 0.5510 | Word2vec | 0.7242 | 0.6954 | 0.6441 | 0.6013 | Siamese-LSTM | 0.8156 | 0.7886 | 0.6574 | 0.6103 | Siamese-CNN | 0.8273 | 0.8097 | 0.7517 | 0.7502 | Siamese-RNN | 0.8039 | 0.7830 | 0.7383 | 0.7129 | BTSN | 0.8328 | 0.8311 | 0.7967 | 0.7827 |
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Bold values indicate the best record in the comparative test.
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