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

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2022-08-15 DOI:10.3103/S0005105522030037

L. A. Mosunova, E. V. Mityagina, P. V. Ananin

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引用次数: 1

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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从读者评论语料库中自动提取文化密码的价值语义成分

研究了人道主义文本大语料库的自动分析问题。书评被认为是一个文化密码空间，包含着现代读者意识中价值支配者的信息。创建了包含文化密码信息的小说作品评论数据库，该数据库在形成程序和主题方面与类似数据库不同。描述了自动搜索的过程，并给出了从读者评论语料库（8278篇文本）中提取文化代码的价值语义成分的实验结果。基于统计方法和文本分析程序，得出了所开发方法的有效性结论。对评论文本的自动分析证实了研究人员关于全球化条件下文化密码变化的想法：随着其一定的稳定性，一些传统价值观被其他文化的价值观所取代。

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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

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期刊介绍： Automatic Documentation and Mathematical Linguistics is an international peer reviewed journal that covers all aspects of automation of information processes and systems, as well as algorithms and methods for automatic language analysis. Emphasis is on the practical applications of new technologies and techniques for information analysis and processing.