Detecting Stance in Czech News Commentaries

Tomáš Hercig and Peter Krejzl and Josef Steinberger and Ladislav Lenc
Proceedings of the 17th ITAT: Slovenskočeský NLP workshop (SloNLP 2017) (2017)
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Research topics

Sentiment analysis


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. We created an extended corpus of Czech news comments and evaluated a support vector machines classifier, a maximum entropy classifier, and a convolu- tional neural network.

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