EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM
Man Liu · 2018
This paper describes our system used in the English Emoji Prediction Task 2 (Barbieri et al., 2018) at the SemEval-2018.Our system is based on two supervised machine learning algorithms: Gradient Boosting Regression Tree Method (GBM) and Bidirectional Long Short-term Memory Network (BLSTM).Besides the common features, we extract various lexicon and syntactic features from external resources.After comparing the results of two algorithms, GBM is chosen for the final evaluation.