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

• Published in: Automatic documentation and mathematical linguistics Vol. 59; no. 3; pp. 185 - 193
• Main Authors: Egorova, A. D., Amurskaya, O. Yu
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.06.2025; Springer Nature B.V
• Subjects: Complexity; Computer Science; Entropy; Information Analysis; Information Storage and Retrieval; Linguistics; Scientific visualization; Semantics; Sentiment analysis; NLP; sentiment analysis; computational linguistics; key words; information system “Semograph”; entropy-complexity; data visualization; machine learning; sentiment trajectories

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 s...