Research Article
Syntactic Knowledge Embedding Network for Aspect-Based Sentiment Classification
Table 2
Main experiment results (%). Best results are in bold (accuracy and
, larger values show better performance).
| Models | Laptop | Restaurant | Twitter | Accuracy | | Accuracy | | Accuracy | |
| MemNet | 70.33 | 64.09 | 78.16 | 65.83 | 68.50 | 66.91 | TD-LSTM | 71.80 | 68.42 | 78.00 | 66.70 | 66.62 | 64.0 | IAN | 72.10 | — | 78.60 | — | — | — | RAW | 74.49 | 71.35 | 80.23 | 70.80 | 69.36 | 67.30 | ASGCN | 74.14 | 69.24 | 80.86 | 72.19 | 71.53 | 69.68 | BERTbase | 75.29 | 71.91 | 81.54 | 71.94 | — | — | BERT-SPC | 78.99 | 75.03 | 84.46 | 76.98 | 73.55 | 72.14 | BERT-PT | 78.08 | 75.08 | 84.95 | 76.96 | — | — | BERT-SFE | 79.47 | 75.90 | 85.18 | 78.15 | 75.43 | 72.75 |
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