A Semi-Supervised Approach to Detecting Stance in Tweets

3 Sep 2017 • Amita Misra • Brian Ecker • Theodore Handleman • Nicolas Hahn • Marilyn Walker

Stance classification aims to identify, for a particular issue under discussion, whether the speaker or author of a conversational turn has Pro (Favor) or Con (Against) stance on the issue. Detecting stance in tweets is a new task proposed for SemEval-2016 Task6, involving predicting stance for a dataset of tweets on the topics of abortion, atheism, climate change, feminism and Hillary Clinton... (read more)

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