This is the code by ECNU submitted to SemEval 2018 Task 2. The final model achieves 33.35 Macro F-score score on the test set and ranks 5th among all the participants.
# download the repo
git clone https://github.com/gongwu/SemEval2018-Task2-EmojisPrediction.git
# download the dataset
# run the model
python main.py
| Model | Macro F1 |
|---|---|
| Traditional NLP Features | 34.63 |
| Deep Learning Model | 32.59 |
| Combination Model | 35.21 |
| Ensemble Model | 35.57 |