基于多依赖图和知识融合的方面级情感分析模型
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何勇禧,韩虎,孔博
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Aspect-based sentiment analysis model based on multi-dependency graph and knowledge fusion
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Yongxi HE,Hu HAN,Bo KONG
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表 5 所提模型使用BERT时在5个数据集上的消融实验结果 |
Tab.5 Ablation experimental results for proposed model with BERT in five different datasets |
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% | 模型 | Twitter | | Laptop14 | | Restaurant14 | | Restaurant15 | | Restaurant16 | Acc | MF1 | | Acc | MF1 | | Acc | MF1 | | Acc | MF1 | | Acc | MF1 | BERT-BASE(S) | 73.70 | 71.50 | | 77.74 | 73.30 | | 82.68 | 73.54 | | 81.34 | 63.57 | | 88.89 | 68.19 | +GCN | 75.72 | 74.39 | | 79.00 | 74.82 | | 83.57 | 75.59 | | 81.92 | 68.67 | | 88.96 | 71.97 | +MDKGCN | 76.16 | 74.57 | | 79.31 | 74.96 | | 85.45 | 78.30 | | 83.39 | 71.68 | | 90.26 | 75.82 | BERT-BASE (D) | 75.00 | 72.53 | | 78.68 | 74.64 | | 84.55 | 77.34 | | 83.40 | 65.28 | | 89.54 | 70.47 | +GCN | 75.14 | 73.83 | | 79.15 | 75.56 | | 84.29 | 77.68 | | 84.13 | 69.49 | | 89.77 | 76.64 | +MDKGCN | 76.30 | 75.31 | | 80.41 | 77.60 | | 86.70 | 80.93 | | 85.61 | 72.54 | | 91.07 | 76.70 |
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