Detecting Stance in Czech News Commentaries

نویسندگان

  • Tomáš Hercig
  • Peter Krejzl
  • Barbora Hourová
  • Josef Steinberger
  • Ladislav Lenc
چکیده

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 convolutional neural network.

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تاریخ انتشار 2017