DeepStance at SemEval-2016 Task 6: Detecting Stance in Tweets Using Character and Word-Level CNNs

Understand

This paper describes our approach for the Detecting Stance in Tweets task (SemEval-2016 Task 6).

• We utilized recent advances in short text categorization using deep learning to create word-level and character-level models.
• The choice between word-level and character-level models in each particular case was informed through validation performance.
• Our final system is a combination of classifiers using word-level or character-level models.