Stance detection in online discussions
Peter Krejzl, Barbora Hourová, Josef Steinberger · arXiv (Cornell University) · 2017
This paper describes our system created to detect stance in online discussions. The goal is to identify whether the author of a comment 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. The system was originally developed to detect stance in English tweets. We adapted it to process Czech news commentaries.