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Matem. Mod., 2020, Volume 32, Number 2, Pages 37–57 (Mi mm4154)  

This article is cited in 1 scientific paper (total in 1 paper)

Matrix text models. Text corpora models

M. G. Kreines, E. M. Kreines

BaseTech Llc, Moscow

Abstract: The models of text corpora, formed on the basis of the matrix model of texts in natural languages, are presented. As methods to form models of collections we consider the techniques of computational identification of the thematic structure of the collections. We suggest to use the models for searching for thematically similar text collections and thematic categorization of texts based on text models and text collections. The differences of the proposed models of text collections from the common approaches to their analysis and modeling are analyzed.

Keywords: natural language texts, text corpora, text corpora models, topic models, text models, text information retrieval.

DOI: https://doi.org/10.20948/mm-2020-02-03

Full text: PDF file (383 kB)
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References: PDF file   HTML file

Received: 16.05.2019
Revised: 16.05.2019
Accepted:01.07.2019

Citation: M. G. Kreines, E. M. Kreines, “Matrix text models. Text corpora models”, Matem. Mod., 32:2 (2020), 37–57

Citation in format AMSBIB
\Bibitem{KreKre20}
\by M.~G.~Kreines, E.~M.~Kreines
\paper Matrix text models. Text corpora models
\jour Matem. Mod.
\yr 2020
\vol 32
\issue 2
\pages 37--57
\mathnet{http://mi.mathnet.ru/mm4154}
\crossref{https://doi.org/10.20948/mm-2020-02-03}


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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. Interpretatsiya modelei i eksperimentalnaya verifikatsiya”, Matem. modelirovanie, 32:7 (2020), 24–46  mathnet  crossref
  • Математическое моделирование
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