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Sentiment Analysis on SS fine

0.497Scorebi-LSTM (Yu et al., 2017)
0.410680.433090.45550.47791Sep 12, 2018

Evaluation results

MethodLinks
bi-LSTM (Yu et al., 2017)Architecture=bi-LSTM2018.090.497
GloVe+Emo2VecWord-level representation=GloVe+Emo2Vec, Architecture=Logistic Regression2018.090.436
GloVe+DeepMojiWord-level representation=GloVe+DeepMoji, Architecture=Logistic Regression2018.090.421
GloVeWord-level representation=GloVe, Architecture=Logistic Regression2018.090.414