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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
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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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http://mi.mathnet.ru/eng/mm4146 http://mi.mathnet.ru/eng/mm/v32/i1/p31
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:
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M. G. Kreines, E. M. Kreines, “Matrichnye modeli tekstov. Modeli tekstovykh kollektsii”, Matem. modelirovanie, 32:2 (2020), 37–57
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M. G. Kreines, E. M. Kreines, “Matrichnye modeli tekstov. Interpretatsiya modelei i eksperimentalnaya verifikatsiya”, Matem. modelirovanie, 32:7 (2020), 24–46
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