基于关系门控图卷积网络的方面级情感分析
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程艳芬,吴家俊,何凡
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Aspect level sentiment analysis based on relation gated graph convolutional network
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Yan-fen CHENG,Jia-jun WU,Fan HE
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表 2 不同模型在3个数据集上的分类准确率和宏观F1分数对比 |
Tab.2 Comparison of classification accuracy and macro-F1 score of different models on three datasets |
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% | 模型 | Restaurant | | Laptop | | Twitter | Acc | MF1 | Acc | MF1 | Acc | MF1 | CDT | 82.30 | 74.02 | | 77.19 | 72.99 | | 74.66 | 73.66 | IGATs | 82.32 | 73.99 | 76.02 | 72.05 | 75.29 | 73.40 | R-GAT | 83.30 | 76.08 | 77.42 | 73.76 | 75.57 | 73.82 | DGEDT | 83.90 | 75.10 | 76.80 | 72.30 | 74.80 | 73.40 | DualGCN | 84.27 | 78.08 | 78.48 | 74.74 | 75.92 | 74.29 | ARGCN | 84.63 | 78.14 | 79.27 | 75.68 | 76.07 | 74.58 | ARGCN+BERT | 86.60 | 77.73 | 81.01 | 77.73 | 77.10 | 76.07 |
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