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Methods for Analyzing Polarity of the Kazakh Texts Related to the Terrorist Threats

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

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Abstract

In this work we described the rule-based method, using dictionary for sentiment analysis of texts in the Kazakh language related to the terrorist threats. It provides an overview of the methods for analyzing polarity, parser, which analyzes the pages on the content of keywords from the database, morphological, syntactic and sentiment analysis of the texts in the Kazakh language.

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Author information

Authors and Affiliations

  1. L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

    Gulmira Bekmanova, Gaziza Yelibayeva, Saltanat Aubakirova, Nurgul Dyussupova, Altynbek Sharipbay & Rozamgul Nyazova

Authors
  1. Gulmira Bekmanova
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  2. Gaziza Yelibayeva
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  3. Saltanat Aubakirova
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  4. Nurgul Dyussupova
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  5. Altynbek Sharipbay
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  6. Rozamgul Nyazova
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Corresponding author

Correspondence to Gulmira Bekmanova .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Bekmanova, G., Yelibayeva, G., Aubakirova, S., Dyussupova, N., Sharipbay, A., Nyazova, R. (2019). Methods for Analyzing Polarity of the Kazakh Texts Related to the Terrorist Threats. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11619. Springer, Cham. https://doi.org/10.1007/978-3-030-24289-3_53

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  • DOI: https://doi.org/10.1007/978-3-030-24289-3_53

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-030-24289-3

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