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An Approach of Automatic Extraction of Domain Keywords from the Kazakh Text

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Computational Collective Intelligence (ICCCI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9876))

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Abstract

In this paper we consider the approach of automatic extraction of domain keywords from the Kazakh Text based on statistical methods of natural language processing. The proposed approach can be used to build domain dictionaries and thesauri without manual work of domain experts. Results of experiments on a corpus of texts from a Kazakh book and online websites demonstrate that applying latent semantic analysis to keywords extraction significantly decreases information noise and strengthens the words relations.

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Acknowledgements

In this work for tokenization and lemmatization of texts we used the morphological analyzer, courtesy of our colleague Kairat Koibagarov from Institute of Informational and Computational Technologies of Science Committee Ministry of Education and Science of Republic Kazakhstan, for which we express him our gratitude. Also this research work is doing in frame of project 5033/GF4 financed by MES of RK.

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Authors and Affiliations

  1. Al-Farabi Kazakh National University, Al-Farabi av. 71, 050040, Almaty, Kazakhstan

    Yermek Alimzhanov & Madina Mansurova

Authors
  1. Yermek Alimzhanov
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  2. Madina Mansurova
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Corresponding author

Correspondence to Yermek Alimzhanov .

Editor information

Editors and Affiliations

  1. Wroclaw University of Technology , Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Aristotle University of Thessaloniki , Thessaloniki, Greece

    Lazaros Iliadis

  3. Department of Forestry and Manageme, Democritus University of Thrace Department of Forestry and Manageme, Orestiada Thrace, Greece

    Yannis Manolopoulos

  4. Wrocław University of Technology , Wrocław, Poland

    Bogdan Trawiński

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Alimzhanov, Y., Mansurova, M. (2016). An Approach of Automatic Extraction of Domain Keywords from the Kazakh Text. In: Nguyen, N., Iliadis, L., Manolopoulos, Y., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2016. Lecture Notes in Computer Science(), vol 9876. Springer, Cham. https://doi.org/10.1007/978-3-319-45246-3_53

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  • DOI: https://doi.org/10.1007/978-3-319-45246-3_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-45245-6

  • Online ISBN: 978-3-319-45246-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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