Table 6. Classification Performance of Models - Chinese Dataset.
AC represents aspect category, and SP represents sentiment polarity. Bold and underlined values indicate the best result.
| AC | SP | |||||||
|---|---|---|---|---|---|---|---|---|
| Model | Hotel Acc. Macro-F1 | WaiMai Acc. Macro-F1 | SinaWeibo Acc. Macro-F1 | DouBan Acc. Macro-F1 | Hotel Acc. F1 | WaiMai Acc. F1 | SinaWeibo Acc. F1 | DouBan Acc. F1 |
| ATAE-LSTM | 76.69 67.93 | 62.74 63.72 | 70.06 70.06 | 64.53 51.12 | 77.63 69.79 | 65.66 38.51 | 67.40 65.16 | 62.18 58.47 |
| RAM | 67.55 62.25 | 60.78 59.73 | 67.55 67.55 | 67.55 49.09 | 60.44 77.23 | 63.28 32.54 | 86.5155.29 | 81.06 42.31 |
| IAN | 68.50 64.11 | 62.69 60.90 | 68.50 68.50 | 68.50 57.10 | 63.41 77.78 | 71.09 30.77 | 86.22 59.48 | 81.78 41.43 |
| PBAN | 70.06 66.14 | 63.0562.94 | 76.79 76.79 | 70.0650.98 | 82.2566.84 | 88.56 60.94 | 82.74 50.57 | 77.68 69.01 |
| BiGCN | 75.18 68.45 | 60.25 58.44 | 75.18 75.18 | 75.27 66.30 | 77.23 67.54 | 78.75 70.51 | 77.1467.61 | 78.30 69.11 |
| ASGCN | 78.6669.01 | 66.93 63.47 | 70.84 66.46 | 67.74 64.31 | 77.7769.51 | 68.81 63.41 | 68.50 62.66 | 67.08 62.02 |
| DualGCN | 76.34 65.95 | 75.98 67.01 | 76.70 68.29 | 76.25 68.71 | 75.18 68.45 | 77.41 68.58 | 73.39 62.74 | 77.41 68.38 |
| KumaGCN | 77.69 70.84 | 77.41 69.06 | 78.0461.64 | 78.30 70.74 | 69.44 69.61 | 78.84 72.84 | 76.79 68.68 | 76.79 67.93 |
| PT-BERT | 72.31 65.35 | 79.96 77.99 | 82.55 76.81 | 82.18 77.28 | 82.63 78.34 | 83.71 74.44 | 80.16 80.00 | 90.2979.41 |
| BERT-Pair | 81.43 69.36 | 81.64 76.33 | 81.48 76.21 | 81.67 76.21 | 88.96 80.56 | 83.80 80.79 | 81.31 79.41 | 77.49 75.50 |
| RoBERTa | 82.54 70.75 | 84.17 67.22 | 82.07 70.10 | 81.16 72.33 | 81.87 72.89 | 82.31 73.53 | 76.33 72.76 | 73.84 72.66 |
| CG-BERT | 83.77 77.99 | 82.97 79.88 | 84.19 78.58 | 83.2575.53 | 83.11 78.70 | 89.0178.34 | 90.02 80.79 | 84.05 83.12 |