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 4 所提模型在5个数据集上的消融实验结果 |
Tab.4 Ablation experimental results of proposed model in five datasets |
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% | 模型 | Twitter | | Laptop14 | | Restaurant14 | | Restaurant15 | | Restaurant16 | Acc | MF1 | | Acc | MF1 | | Acc | MF1 | | Acc | MF1 | | Acc | MF1 | W/O Concept | 73.55 | 71.79 | | 76.65 | 72.72 | | 82.32 | 73.94 | | 81.73 | 64.38 | | 89.77 | 73.34 | W/O MS_Matrix | 73.84 | 71.82 | | 76.49 | 72.60 | | 82.23 | 73.77 | | 80.07 | 65.00 | | 89.94 | 72.86 | W/O Stanza | 72.98 | 71.61 | | 76.49 | 71.77 | | 81.96 | 73.39 | | 80.44 | 63.80 | | 89.45 | 72.96 | W/O spaCy | 73.27 | 71.75 | | 76.18 | 72.54 | | 81.16 | 73.59 | | 79.70 | 64.19 | | 88.80 | 70.50 | W/O Sentic | 72.98 | 71.08 | | 76.65 | 72.99 | | 81.70 | 73.23 | | 79.70 | 64.41 | | 89.29 | 73.26 | MDKGCN | 74.28 | 72.68 | | 78.06 | 74.61 | | 82.41 | 74.51 | | 81.92 | 66.85 | | 90.26 | 75.52 |
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