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Stance detection in online discussions
January 02, 2017 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Peter Krejzl, Barbora Hourovรก, Josef Steinberger
arXiv ID
1701.00504
Category
cs.CL: Computation & Language
Citations
29
Venue
arXiv.org
Last Checked
4 months ago
Abstract
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.
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