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Sentiment Analysis in Complex Adaptive Systems

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ISCS 2013: Interdisciplinary Symposium on Complex Systems

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 8))

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Abstract

The aim of this work is to present a new algorithm for the evaluation of sentiment in Czech language texts. The algorithm is based on a new dictionary and uses n-gram searching. For the creation of the dictionary, it was important to use language specific phrases and exceptions, which can completely change the final evaluation of a sentiment. The solution also includes automatic search for a new subjects (aspects) of evaluation and also searching for new words determining sentiment. A similar algorithm can also be applied to other languages. The work emphasizes the transformation of the acquired data into valuable information. Our experiment is realized in the experimental adaptive web system in e-learning content domain and in eShop domain. The success and benefits of the algorithm are also discussed in this text.

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Notes

  1. 1.

    http://thesaurus.com/

  2. 2.

    http://arg.vsb.cz/XAPOS/, authors: Zdenek Velart, Petr Šaloun.

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Acknowledgments

The following grants are acknowledged for the financial support provided for this research: Grant Agency of the Czech Republic—GACR P103/13/08195S, by the Development of human resources in research and development of latest soft computing methods and their application in practice project, reg. no. CZ.1.07/2.3.00/20.0072 funded by Operational Programme Education for Competitiveness, co-financed by ESF and state budget of the Czech Republic, and by Grant of SGS No. SP2013/114, VB—Technical University of Ostrava, Czech Republic.

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Authors and Affiliations

  1. VSB-Technical University of Ostrava, 17. listopadu 15, 70833, Ostrava, Czech Republic

    Petr Šaloun, Ivan Zelinka & Martin Hruzik

Authors
  1. Petr Šaloun
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  2. Ivan Zelinka
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  3. Martin Hruzik
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Corresponding author

Correspondence to Petr Šaloun .

Editor information

Editors and Affiliations

  1. University of Tübingen, Tübingen, Germany

    Ali Sanayei

  2. Department of Computer Science, VŠB-Technical University of Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Institute of Physical and Theoretical Chemistry, University of Tübingen, Tübingen, Germany

    Otto E. Rössler

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Šaloun, P., Zelinka, I., Hruzik, M. (2014). Sentiment Analysis in Complex Adaptive Systems. In: Sanayei, A., Zelinka, I., Rössler, O. (eds) ISCS 2013: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 8. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45438-7_30

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  • DOI: https://doi.org/10.1007/978-3-642-45438-7_30

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  • Print ISBN: 978-3-642-45437-0

  • Online ISBN: 978-3-642-45438-7

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