Detecting Stance in Czech News Commentaries
Proceedings of the 17th ITAT: Slovenskočeský NLP workshop (SloNLP 2017) (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. 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.