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UWB at SemEval-2016 Task 6: Stance Detection

Peter Krejzl and Josef Steinberger
Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016) (2016)
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Abstract

This paper describes our system participating in the SemEval 2016 task: Detecting stance in Tweets. The goal was to identify whether the author of a tweet is in favor of the given target or against. Our approach is based on a maximum entropy classifier, which uses surface-level, sentiment and domain-specific features. We participated in both the supervised and weakly supervised subtasks and received promising results for most of the targets.

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