基于KACC模型的文本分类研究 *
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李钰曼,陈志泊,许福
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Classifying Texts with KACC Model
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Yuman Li,Zhibo Chen,Fu Xu
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表3 模型实验结果统计
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序号 | 模型 | P | R | F1 | 1 | FT+CNN+OneHot | 0.891 | 0.885 | 0.888 | 2 | KE+CNN+OneHot | 0.839 | 0.870 | 0.854 | 3 | KE+Attention+CNN+OneHot | 0.888 | 0.860 | 0.874 | 4 | KE+Attention+CNN+CLR | 0.901 | 0.895 | 0.898 | 5 | KE+Capsnet+OneHot | 0.889 | 0.900 | 0.894 | 6 | KE+Attention+Capsnet+OneHot | 0.954 | 0.925 | 0.939 | 7 | KE+Attention+Capsnet+CLR | 0.974 | 0.970 | 0.972 |
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