基于图语义建模方法的科学学科领域相互关系分析

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS Pub Date : 2025-08-26 DOI:10.3103/S0005105525700621

A. D. Egorova, O. Yu. Amurskaya

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引用次数: 0

摘要

本文探讨了两个很少一起研究的相关领域的统一：情感分析的计算语言学领域和熵复杂性的物理数学领域。基于这两个主题文章的关键词，在这些主题领域的交界处建立链接，形成一个单一的语义空间。利用数据可视化工具Semograph的信息系统对数据进行可视化，识别语义成分之间、情感分析与熵复杂度之间的语义联系。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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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 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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来源期刊

AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS COMPUTER SCIENCE, INFORMATION SYSTEMS-

自引率

40.00%

发文量

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.