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Experimental Investigation of Significant Keywords Search in Ukrainian Content

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Advances in Intelligent Systems and Computing V (CSIT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1293))

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Abstract

The article deals with a comparative experimental study of methods of searching for significant keywords of Ukrainian-language content. The approach to the automatic definition of keywords is based on Porter’s stemming of words of the Ukrainian language for the Levenshtein distance, taking into account the possibility of using a thematic dictionary and the removal of blocked words. Experimental based on 100 scientific publications of technical direction compared to the author’s variants obtained numerous statistical characteristics of the accuracy of search results.

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Author information

Authors and Affiliations

  1. Vinnytsia National Technical University, Vinnytsia, Ukraine

    Oleg Bisikalo

  2. Lviv Polytechnic National University, Lviv, Ukraine

    Victoria Vysotska, Vasyl Lytvyn & Oksana Brodyak

  3. Kherson National Technical University, Kherson, Ukraine

    Svitlana Vyshemyrska & Yuriy Rozov

Authors
  1. Oleg Bisikalo
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  2. Victoria Vysotska
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  3. Vasyl Lytvyn
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  4. Oksana Brodyak
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  5. Svitlana Vyshemyrska
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  6. Yuriy Rozov
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Corresponding authors

Correspondence to Oleg Bisikalo , Victoria Vysotska or Svitlana Vyshemyrska .

Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Lviv Polytechnic National University, Lviv, Ukraine

    Natalya Shakhovska

  2. Institute of Computer Science and Information Technologies, Lviv Polytechnic National University, Lviv, Ukraine

    Mykola O. Medykovskyy

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Bisikalo, O., Vysotska, V., Lytvyn, V., Brodyak, O., Vyshemyrska, S., Rozov, Y. (2021). Experimental Investigation of Significant Keywords Search in Ukrainian Content. In: Shakhovska, N., Medykovskyy, M.O. (eds) Advances in Intelligent Systems and Computing V. CSIT 2020. Advances in Intelligent Systems and Computing, vol 1293. Springer, Cham. https://doi.org/10.1007/978-3-030-63270-0_1

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