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.
@article{arxiv.1701.00504,
title = {Stance detection in online discussions},
author = {Peter Krejzl and Barbora Hourová and Josef Steinberger},
journal= {arXiv preprint arXiv:1701.00504},
year = {2017}
}