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Matem. Mod., 2020, Volume 32, Number 1, Pages 31–49 (Mi mm4146)  

This article is cited in 2 scientific papers (total in 2 papers)

Matrix text models. Text models and similarity of text contents

M. G. Kreines, E. M. Kreines

BaseTech Llc, Moscow

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.

DOI: https://doi.org/10.20948/mm-2020-01-03

Full text: PDF file (359 kB)
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Received: 16.05.2019
Revised: 16.05.2019
Accepted:01.07.2019

Citation: M. G. Kreines, E. M. Kreines, “Matrix text models. Text models and similarity of text contents”, Matem. Mod., 32:1 (2020), 31–49

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}


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    Citing articles on Google Scholar: Russian citations, English citations
    Related articles on Google Scholar: Russian articles, English articles

    This publication is cited in the following articles:
    1. M. G. Kreines, E. M. Kreines, “Matrichnye modeli tekstov. Modeli tekstovykh kollektsii”, Matem. modelirovanie, 32:2 (2020), 37–57  mathnet  crossref
    2. M. G. Kreines, E. M. Kreines, “Matrichnye modeli tekstov. Interpretatsiya modelei i eksperimentalnaya verifikatsiya”, Matem. modelirovanie, 32:7 (2020), 24–46  mathnet  crossref
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