基于多特征融合的中文文本分类研究*
|
|
王艳,王胡燕,余本功
|
Chinese Text Classification with Feature Fusion
|
|
Wang Yan,Wang Huyan,Yu Bengong
|
|
表5 多特征融合模型对比（搜狐新闻）
|
Table 5 Comparison of Multi-Feature Fusion Models （Sohu News）
|
|
| 数据集 | 模型 | Acc | P | R | F1 | | 搜狐新闻 | POS-BiGRUCNN | 64.9% | 61.3% | 62.6% | 63.3% | | PY-BiGRUCNN | 72.3% | 71.9% | 69.8% | 71.2% | | HZ-BiGRUCNN | 75.2% | 72.7% | 72.6% | 72.2% | | Word-BiGRUCNN | 83.6% | 81.6% | 80.1% | 79.8% | | POS-Word-BiGRUCNN | 85.1% | 84.2% | 81.9% | 82.1% | | PY-Word-BiGRUCNN | 86.0% | 84.8% | 82.2% | 83.2% | | HZ-Word-BiGRUCNN | 87.2% | 85.7% | 84.3% | 84.2% | | PY-POS-Word-BiGRUCNN | 89.1% | 87.6% | 89.3% | 87.5% | | HZ-POS-Word-BiGRUCNN | 89.4% | 89.6% | 89.3% | 89.5% | | PY-HZ-Word-BiGRUCNN | 90.2% | 89.6% | 89.9% | 89.1% | | PY-POS-HZ-Word-BiGRUCNN（本文） | 91.1% | 91.3% | 90.8% | 89.7% |
|
|
|