SemEval (Semantic Evaluation) is an ongoing series of evaluations of computational semantic analysis systems tackling recent NLP challenges. This year, we are participating in its first task: Affect in Tweets. Given a tweet and its emotion (ex. joy, anger, sadness, or fear), our main goal is to detect the intensity of the given emotion. the intensity varies between 0 and 1 with 1 referring to maximum intensity.
- Python (3+)
- Jupyter Notebook
- scipy
- numpy
- pandas
- scikit-learn
- tensorflow
- kiras
- nltk (3.2.5)
- matplotlib
- seaborn