Matrix Models of Texts: Models of Texts and Content Similarity of Text Documents

• Published in: Mathematical models and computer simulations Vol. 12; no. 5; pp. 696 - 705
• Main Authors: Kreines, M. G., Kreines, E. M.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01-09-2020; Springer Nature B.V
• Subjects: Mathematical Modeling and Industrial Mathematics; Mathematics; Mathematics and Statistics; Natural language; Similarity; Simulation and Modeling; Texts; content similarity; information retrieval and analysis; models of text documents; content similarity assessment; texts in natural languages
• ISSN: 2070-0482; 2070-0490
• DOI: 10.1134/S2070048220050105

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The article presents a matrix model of natural language texts and a model for the quantitative assessment of the similarity in the content of text documents. The use of the model to identify text documents with similar contents is considered. The differences between the proposed models—the matrix model and the model of the similarity of the content of text documents constructed based on it—and the commonly used approaches to analyze and model natural language texts are analyzed.