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Matematicheskoe modelirovanie, 2020, Volume 32, Number 1, Pages 31–49
DOI: https://doi.org/10.20948/mm-2020-01-03
(Mi mm4146)
 

This article is cited in 3 scientific papers (total in 3 papers)

Matrix text models. Text models and similarity of text contents

M. G. Kreines, E. M. Kreines

BaseTech Llc, Moscow
Full-text PDF (359 kB) Citations (3)
References:
Abstract: We present a matrix model of texts on natural languages and a model of quantitative assessment of similarity of text contents. An application of the model to search for the texts with similar content is considered. We discuss the difference of the proposed matrix models and commonly used approaches to analyze and model natural language texts.
Keywords: natural language texts, similarity of text contents, similarity assessment, text models, text information retrieval.
Received: 16.05.2019
Revised: 16.05.2019
Accepted: 01.07.2019
English version:
Mathematical Models and Computer Simulations, 2020, Volume 12, Issue 5, Pages 696–705
DOI: https://doi.org/10.1134/S2070048220050105
Document Type: Article
Language: Russian
Citation: M. G. Kreines, E. M. Kreines, “Matrix text models. Text models and similarity of text contents”, Matem. Mod., 32:1 (2020), 31–49; Math. Models Comput. Simul., 12:5 (2020), 696–705
Citation in format AMSBIB
\Bibitem{KreKre20}
\by M.~G.~Kreines, E.~M.~Kreines
\paper Matrix text models. Text models and similarity of text contents
\jour Matem. Mod.
\yr 2020
\vol 32
\issue 1
\pages 31--49
\mathnet{http://mi.mathnet.ru/mm4146}
\crossref{https://doi.org/10.20948/mm-2020-01-03}
\transl
\jour Math. Models Comput. Simul.
\yr 2020
\vol 12
\issue 5
\pages 696--705
\crossref{https://doi.org/10.1134/S2070048220050105}
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  • https://www.mathnet.ru/eng/mm4146
  • https://www.mathnet.ru/eng/mm/v32/i1/p31
  • This publication is cited in the following 3 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Математическое моделирование
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    Abstract page:537
    Full-text PDF :233
    References:32
    First page:24
     
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