NLP

Fake News Challenge- stage 1

Secured seventh place in FNC. The task of the first stage of the contest is Stance Detection i.e. tag a news article with respect to its title into one of four categories, namely unrelated, neutral, negative, positive. Combined hand engineered features with word embeddings and built a hierarchical classifier using boosting trees to combat the uneven distribution of data among the classes.