Research Article
Text Data Processing and Classification Algorithm Based on Data Fusion and Granular Computing
Table 5
Comparison of experimental results.
| Model | Accuracy (%) |
| Word embedding+linear SVM | 85.46 | Word embedding+LR | 85.20 | Word embedding+random forest | 82.61 | CNN-rand | 88.52 | CNN-static | 90.36 | CNN-non-static | 91.79 | Text method | 93.25 |
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