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Automatic Extraction of Value-Semantic Components of the Cultural Codes from a Corpus of Readers’ Reviews

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Automatic Documentation and Mathematical Linguistics Aims and scope

Abstract

The problem of the automatic analysis of large corpora of humanitarian texts is investigated. Book reviews are considered as a space of cultural code containing information on the value dominants in the consciousness of the modern reader. The database Reviews of Works of Fiction Containing Information about the Cultural Code has been created, which differs from analogues in its formation procedure and subject matter. The process of automatic search is described, and the results of an experiment on extracting the value-semantic components of the cultural code from the corpus of reader reviews (8278 texts) are presented. A conclusion is reached about the effectiveness of the developed methodology based on statistical methods and text analysis programs. The automatic analysis of the texts of reviews confirmed the ideas of the researchers regarding changes in the cultural code under the conditions of globalization: with its certain stability, some traditional values are replaced by values from other cultures.

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Notes

  1. LitRes is a first-tier retailer in the electronic and audio books market in Russia and CIS countries; it occupies two thirds of legal electronic and audio books of Russia and has 166000 readers today.

  2. http://www.consultant.ru/document/cons_doc_LAW_389271/ 1e2b5c5fc29c839c457c3d876e9cc7b475bc7d45/

  3. https://www.litres.ru/

  4. PDL is the language for searching for linguistic constructions in unstructured texts.

  5. https://pa.data.tsu.ru:5043/polyanalyst/static/paclient/publication-view.html?reportUUID=44c6631c-63b7-46e9-ae94-ab197 0784a81&guest=1

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Correspondence to L. A. Mosunova, E. V. Mityagina or P. V. Ananin.

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Translated by L. Solovyova

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Mosunova, L.A., Mityagina, E.V. & Ananin, P.V. Automatic Extraction of Value-Semantic Components of the Cultural Codes from a Corpus of Readers’ Reviews. Autom. Doc. Math. Linguist. 56, 131–137 (2022). https://doi.org/10.3103/S0005105522030037

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  • DOI: https://doi.org/10.3103/S0005105522030037

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