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Approach to Extract Keywords and Keyphrases of Text Resources and Documents in the Kazakh Language

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Book cover Computational Collective Intelligence (ICCCI 2020)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 12496))

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Abstract

In this paper authors propose a hybrid approach for extracting keywords and keyphrases of text resources and documents in Kazakh. Direct application of the statistical method tf-idf is not the optimal solution to the question of extracting keywords and phrases in the Kazakh language, since the Kazakh language is an agglutinative type of language. The authors developed and used the stemming algorithm in the pre-processing process taking into account the grammatical features of the Kazakh language. In the extraction, we also take into account the syntactic feature of the words or phrases using the morphological analyzer of the Kazakh language. During extraction, the restrictions indicated by the authors are observed as well, as not all words may be key words. When choosing keywords or a phrase, their features are considered (for example, some words that are a numeral name in combination with a noun are selected). The extraction of keywords and phrases specifically for the Kazakh language is an urgent task in classification, clustering, abstracting the text, and searching the information. The results of the research indicate that the presented approach is the best solution on extracting keywords and phrases from texts in the Kazakh language.

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Acknowledgments

The study was supported by the Ministry of Education and Science of the Republic of Kazakhstan within the framework of the AP05132950 and AP08052421 scientific projects.

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Authors and Affiliations

  1. Al-Farabi Kazakh National University, Almaty, Kazakhstan

    Diana Rakhimova & Aliya Turganbayeva

Authors
  1. Diana Rakhimova
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  2. Aliya Turganbayeva
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Corresponding author

Correspondence to Diana Rakhimova .

Editor information

Editors and Affiliations

  1. Department of Applied Informatics, Wrocław University of Science and Technology, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Thua Thien Hue Center of Information Technology, Hue, Vietnam

    Bao Hung Hoang

  3. Vietnam - Korea University of Information and Communication Technology, University of Da Nang, Da Nang, Vietnam

    Cong Phap Huynh

  4. Department of Computer Engineering, Yeungnam University, Gyeungsan, Korea (Republic of)

    Dosam Hwang

  5. Department of Applied Informatics, Wrocław University of Science and Technology, Wroclaw, Poland

    Bogdan Trawiński

  6. Department of Information Systems, University of Münster, Münster, Germany

    Gottfried Vossen

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Rakhimova, D., Turganbayeva, A. (2020). Approach to Extract Keywords and Keyphrases of Text Resources and Documents in the Kazakh Language. In: Nguyen, N.T., Hoang, B.H., Huynh, C.P., Hwang, D., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2020. Lecture Notes in Computer Science(), vol 12496. Springer, Cham. https://doi.org/10.1007/978-3-030-63007-2_56

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  • DOI: https://doi.org/10.1007/978-3-030-63007-2_56

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-63006-5

  • Online ISBN: 978-3-030-63007-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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