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Abstract <p>This article explores the unification of two relevant areas that are rarely studied together: the computational linguistics field of sentiment analysis and the physico-mathematical field of entropy-complexity. Based on keywords from articles on both topics, links are established that form a single semantic space at the junction of these subject areas. The information system of the data visualization tool Semograph was used to visualize the data and identify semantic links between semantic components and between sentiment analysis and entropy complexity.</p>

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Analysis of Interrelations of Scientific Subject Areas Based on the Method of Graphosemantic Modeling

  • 期刊论文

  • 发表日期：

    2025年6月1日

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  • A. D. Egorova,
  • O. Yu. Amurskaya

摘要

Abstract

This article explores the unification of two relevant areas that are rarely studied together: the computational linguistics field of sentiment analysis and the physico-mathematical field of entropy-complexity. Based on keywords from articles on both topics, links are established that form a single semantic space at the junction of these subject areas. The information system of the data visualization tool Semograph was used to visualize the data and identify semantic links between semantic components and between sentiment analysis and entropy complexity.