Analysis of Interrelations of Scientific Subject Areas Based on the Method of Graphosemantic Modeling
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...
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Published in | Automatic documentation and mathematical linguistics Vol. 59; no. 3; pp. 185 - 193 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Moscow
Pleiades Publishing
01.06.2025
Springer Nature B.V |
Subjects | |
Online Access | Get full text |
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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. |
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AbstractList | 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. |
Author | Amurskaya, O. Yu Egorova, A. D. |
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Cites_doi | 10.3115/1118693.1118704 10.18413/2518-1092-2021-6-1-0-7 10.37386/2305-4077-2024-2-169-180 10.12731/2218-7405-2013-9-58 10.1145/945645.945658 10.1002/j.1538-7305.1948.tb01338.x 10.21638/spbu22.2023.104 10.3103/s0147688214020026 10.17223/19986645/64/1 10.5465/annals.2018.0127 10.1016/j.chaos.2023.113934 |
ContentType | Journal Article |
Copyright | Allerton Press, Inc. 2025 ISSN 0005-1055, Automatic Documentation and Mathematical Linguistics, 2025, Vol. 59, No. 3, pp. 185–193. © Allerton Press, Inc., 2025.Russian Text © The Author(s), 2025, published in Nauchno-Tekhnicheskaya Informatsiya, Seriya 2: Informatsionnye Protsessy i Sistemy, 2025, No. 6, pp. 7–16. Allerton Press, Inc. 2025. |
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SubjectTerms | Complexity Computer Science Entropy Information Analysis Information Storage and Retrieval Linguistics Scientific visualization Semantics Sentiment analysis |
Title | Analysis of Interrelations of Scientific Subject Areas Based on the Method of Graphosemantic Modeling |
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