Geodesic
Matrix text models. Text models and similarity of text contents
Matematičeskoe modelirovanie, Tome 32 (2020) no. 1, pp. 31-49

Voir la notice de l'article provenant de la source Math-Net.Ru

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. 
@article{MM_2020_32_1_a2,
     author = {M. G. Kreines and E. M. Kreines},
     title = {Matrix text models. {Text} models and similarity of text contents},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {31--49},
     publisher = {mathdoc},
     volume = {32},
     number = {1},
     year = {2020},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_2020_32_1_a2/}
}
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M. G. Kreines; E. M. Kreines. Matrix text models. Text models and similarity of text contents. Matematičeskoe modelirovanie, Tome 32 (2020) no. 1, pp. 31-49. http://geodesic.mathdoc.fr/item/MM_2020_32_1_a2/