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  • This article provides an in-depth research of machine learning methods for sentiment analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history and evaluation datasets for various domains are widely available, in case of Czech language there has not yet been any systematical research conducted. We tackle this issue and establish a common ground for further research by providing a large human-annotated Czech social media corpus. Furthermore, we evaluate state-of-the-art supervised machine learning methods for sentiment analysis. We explore different pre-processing techniques and employ various features and classifiers. Moreover, in addition to our newly created social media dataset, we also report results on other widely popular domains, such as movie and product reviews. We believe that this article will not only extend the current sentiment analysis research to another family of languages, but will also encourage competition which potentially leads to the production of high-end commercial solutions.
  • This article provides an in-depth research of machine learning methods for sentiment analysis of Czech social media. Whereas in English, Chinese, or Spanish this field has a long history and evaluation datasets for various domains are widely available, in case of Czech language there has not yet been any systematical research conducted. We tackle this issue and establish a common ground for further research by providing a large human-annotated Czech social media corpus. Furthermore, we evaluate state-of-the-art supervised machine learning methods for sentiment analysis. We explore different pre-processing techniques and employ various features and classifiers. Moreover, in addition to our newly created social media dataset, we also report results on other widely popular domains, such as movie and product reviews. We believe that this article will not only extend the current sentiment analysis research to another family of languages, but will also encourage competition which potentially leads to the production of high-end commercial solutions. (en)
Title
  • Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
  • Sentiment Analysis in Czech Social Media Using Supervised Machine Learning (en)
skos:prefLabel
  • Sentiment Analysis in Czech Social Media Using Supervised Machine Learning
  • Sentiment Analysis in Czech Social Media Using Supervised Machine Learning (en)
skos:notation
  • RIV/49777513:23520/13:43918525!RIV14-MSM-23520___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0090), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 104698
http://linked.open...ai/riv/idVysledku
  • RIV/49777513:23520/13:43918525
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • social media; supervised learning; sentiment analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [114B7CE8C047]
http://linked.open...v/mistoKonaniAkce
  • Atlanta, Georgia, USA
http://linked.open...i/riv/mistoVydani
  • Atlanta
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 4th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Habernal, Ivan
  • Steinberger, Josef
  • Ptáček, Tomáš
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Association for Computational Linguistics
https://schema.org/isbn
  • 978-1-937284-47-3
http://localhost/t...ganizacniJednotka
  • 23520
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