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October 17, 2025Journal of Economic RegulationOpen Access

Methodology for the Study of Theoretical Narratives Using Computer Text Analysis

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Authors

MSMark V. SkryabinPMPavel A. MaryanVVVyacheslav Volchik

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Overview

This review analyzes the application of natural language processing in economic research, suggesting new methodologies for identifying ideological narratives.

Key Points

  • The proposed methodology enhances the identification of ideological narratives in economics, combining qualitative and quantitative approaches.
  • Utilizing natural language processing and deep learning models improves the accuracy of textual analysis in economic literature.
  • The framework introduces semantic aggregation techniques to interpret ideological constructs with greater depth and clarity.
  • This approach lays groundwork for further methodological advancements in economic text analysis and critical evaluations of theories.

Cite This Study

Skryabin et al. (2025) studied this question.

synapsesocial.com/papers/68f199bfde32064e504dcc80https://doi.org/10.17835/2078-5429.2025.16.3.006-019
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