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

Automatic Extraction of Value-Semantic Components of the Cultural Codes from a Corpus of Readers’... 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Documentation and Mathematical Linguistics Springer Journals

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

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2022. ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2022, Vol. 56, No. 3, pp. 131–137. © Allerton Press, Inc., 2022. Russian Text © The Author(s), 2022, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2022, No. 5, pp. 17–24.
ISSN
0005-1055
eISSN
1934-8371
DOI
10.3103/s0005105522030037
Publisher site
See Article on Publisher Site

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.

Journal

Automatic Documentation and Mathematical LinguisticsSpringer Journals

Published: Jun 1, 2022

Keywords: cultural code; components of cultural code; readers’ reviews; value-semantic sphere; identity; automatic data extraction; textual data analysis; LitRes library of electronic books

References