Sentiment Classification on Yelp 2014
69.2AccuracyCHIM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| CHIMBase Model=BiLSTM, Injection=embedding2019.08 | 69.2 | 0.629 | |
| CHIMBase Model=BiLSTM, Injection=classifier2019.08 | 68.9 | 0.622 | |
| CHIMBase Model=BiLSTM, Injection=attention2019.08 | 68.5 | 0.634 | |
| CHIMBase Model=BiLSTM, Injection=encoder2019.08 | 68.4 | 0.631 | |
| DUPMNBase Model=HierLSTM, Injection=memory networks2019.08 | 67.6 | 0.639 | |
| CMABase Model=LSTM+HierAtt, Injection=attention, separate bias-attention for user and product=true2019.08 | 67.6 | 0.637 | |
| PMABase Model=HierLSTM, Injection=attention, uses additional external features=true2019.08 | 67.5 | 0.641 | |
| NSCBase Model=HierLSTM, Injection=attention2019.08 | 66.7 | 0.654 | |
| UPDMNBase Model=LSTM, Injection=memory networks2019.08 | 61.3 | 0.72 | |
| UPNNBase Model=CNN, Injection=embedding, classifier2019.08 | 60.8 | 0.764 |