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Sentiment Analysis in Polish Web-Political Discussions

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Human Language Technology. Challenges for Computer Science and Linguistics (LTC 2015)

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Abstract

The article presents analysis of Polish Internet political discussion forums, characterized by significant polarization and high levels of emotion. The study compares samples of discussions gathered from the Internet comments concerning the last Polish election candidates. The authors compare three dictionary based sentiment analysis methods (built using different sentiment lexicons) with two machine learning ones, and explore methods using word embeddings to enhance sentiment analysis using dictionary based algorithms. The best performing algorithm is giving results closely corresponding to human evaluations.

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Notes

  1. 1.

    Datasets are available on http://opi-lil.github.io/datasets/website.

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Author information

Authors and Affiliations

  1. National Information Processing Institute, Warsaw, Poland

    Marek Kozłowski

  2. Warsaw University of Technology, Warsaw, Poland

    Antoni Sobkowicz

Authors
  1. Antoni Sobkowicz
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  2. Marek Kozłowski
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Corresponding author

Correspondence to Antoni Sobkowicz .

Editor information

Editors and Affiliations

  1. Adam Mickiewicz University, Poznań, Poland

    Zygmunt Vetulani

  2. LIMSI-CNRS, Orsay Cedex, France

    Joseph Mariani

  3. Adam Mickiewicz University, Poznań, Poland

    Marek Kubis

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Sobkowicz, A., Kozłowski, M. (2018). Sentiment Analysis in Polish Web-Political Discussions. In: Vetulani, Z., Mariani, J., Kubis, M. (eds) Human Language Technology. Challenges for Computer Science and Linguistics. LTC 2015. Lecture Notes in Computer Science(), vol 10930. Springer, Cham. https://doi.org/10.1007/978-3-319-93782-3_26

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  • DOI: https://doi.org/10.1007/978-3-319-93782-3_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93781-6

  • Online ISBN: 978-3-319-93782-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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