Abstract

This paper examines applications of artificial intelligence in socio-humanitarian studies conceptually. The world trend of the last decades is focused on the involvement of social media data for research interests, which allows one to solve tasks of monitoring, analysis, forecasting, and management in relation to parameters of network communication such as opinions, attitudes, emotions, and behavior patterns of communicants. In order to develop tools for network content analysis, we propose to utilize the method for relational–situational analysis that is based on the syntactic analysis approach by G.A. Zolotova and the concept of heterogeneous semantic networks proposed by G.S. Osipov. The proposed approach makes it possible to consider texts as the product of the author’s speech–thinking activities, which allows applying the Russian psychological research background to study cognitive processes, personality, motivation, emotional states, and individual differences, as well as a basic mental entity, that is, a general worldview.

中文翻译：

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创建用于社会人道主义研究的文本分析工具。第1部分。方法论和方法论方面

摘要

本文从概念上考察了人工智能在社会人道主义研究中的应用。过去几十年的世界趋势集中在社交媒体数据的研究兴趣上，这使人们可以解决与网络通信参数有关的监视，分析，预测和管理任务，例如观点，态度，情感，和沟通方式。为了开发用于网络内容分析的工具，我们建议利用基于GA Zolotova的句法分析方法和GS Osipov提出的异构语义网络概念的关系-情境分析方法。提议的方法可以将文本视为作者的语音思考活动的产物，