Full Article: PDF
Scientific Object Identifier: http://s-o-i.org/1.1/TAS-06-74-17
DOI: https://dx.doi.org/10.15863/TAS.2019.06.74.17
Language: Russian
Citation: Shkurina, M. V., & Sabinin, O. Y. (2019). Comparative analysis of extractive text summarization methods for texts in Russian language. ISJ Theoretical & Applied Science, 06 (74), 164-169. Soi: http://s-o-i.org/1.1/TAS-06-74-17 Doi: https://dx.doi.org/10.15863/TAS.2019.06.74.17 |
Pages: 164-169
Published: 30.06.2019
Abstract: Each day the amount of data online grows, which leads to needing to present information in a more condensed form, and automatic text summarization can help with that. In this article the applicability of some of the most popular methods for extractive summarization to texts in Russian language is explored.
Key words: Automatic text summarization, extractive text summarization, natural language processing, text analysis, data mining.
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