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Sentiment Analysis Based on Collaborative Data for Polish Language

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Cooperative Design, Visualization, and Engineering (CDVE 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9320))

Abstract

Due to the fact that majority of web content is provided within collaborative environments such as social media and social networks systems its complexity brings a new strong need for its accurate aggregation and understanding. Sentiment analysis (also known as opinion mining) is one of possibility to understand generated content that may brings an interesting summation in terms of attitudes expressed in texts. The paper proposes a new approach to sentiment analysis of polish language using machine learning approach.

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References

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Author information

Authors and Affiliations

  1. Department of Computational Intelligence, Wrocław University of Technology, Wyb. Wyspianskiego 27, 50-370, Wroclaw, Poland

    Roman Bartusiak & Tomasz Kajdanowicz

Authors
  1. Roman Bartusiak
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  2. Tomasz Kajdanowicz
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Corresponding author

Correspondence to Roman Bartusiak .

Editor information

Editors and Affiliations

  1. University of Balearic Islands, Palma de Mallorca, Spain

    Yuhua Luo

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© 2015 Springer International Publishing Switzerland

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Bartusiak, R., Kajdanowicz, T. (2015). Sentiment Analysis Based on Collaborative Data for Polish Language. In: Luo, Y. (eds) Cooperative Design, Visualization, and Engineering. CDVE 2015. Lecture Notes in Computer Science(), vol 9320. Springer, Cham. https://doi.org/10.1007/978-3-319-24132-6_27

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  • DOI: https://doi.org/10.1007/978-3-319-24132-6_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24131-9

  • Online ISBN: 978-3-319-24132-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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