Sentiment Analysis on SS binary
88.6Scorebi-LSTM (Yu et al., 2017)
Evaluation results
| Method | Links | |
|---|---|---|
| bi-LSTM (Yu et al., 2017)Architecture=bi-LSTM2018.09 | 88.6 | |
| GloVe+Emo2VecWord-level representation=GloVe+Emo2Vec, Architecture=Logistic Regression2018.09 | 82.3 | |
| GloVe+DeepMojiWord-level representation=GloVe+DeepMoji, Architecture=Logistic Regression2018.09 | 80.9 | |
| GloVeWord-level representation=GloVe, Architecture=Logistic Regression2018.09 | 79.5 |