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
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. 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.