自然语言处理在社会紧张程度确定系统中的数学方法

Maksym Shchoholiev, O. Andriichuk
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引用次数: 0

摘要

介绍造成社会紧张程度加剧的最重要因素是危机现象和信息操作。如今,社会学调查被认为是确定某一群体与某一事件相关的紧张程度的主要方法。然而,这种方法无法获得与某些新闻事件相关的紧张局势变化的动态以及这些新闻事件对社会总体紧张局势的影响的详细信息,这使政府官员在危机情况下的决策过程变得复杂。这项工作的目的是提高国家机构代表对危机现象、新闻事件或信息操作引发的当前社会紧张程度的情景意识。所获得的信息将有助于政府官员迅速做出决定,克服这些危机现象,打击虚假信息。该研究的主要任务是开发基于社交网络数据的社会紧张程度操作性确定系统的架构和数学支持。后果开发了可操作地确定社会紧张程度的系统的结构和数学支持。举例说明了该系统在确定一份新闻出版物引发的紧张程度方面的应用。确定了所开发系统的主要优点和缺点,以及进一步研究的方向。结论。发达的社会紧张程度操作性确定系统有助于快速确定在某些特定时刻对增加全国社会紧张程度影响最大的新闻事件和新闻出版物。使用基于社交网络的系统可以在当前数据的基础上建立此类评估,这些评估可用于研究与某一新闻事件或新闻出版物相关的社会紧张局势的变化动态。关键词:社会紧张程度,社交网络,情绪分析,TF-IDF,Word2vec,神经网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mathematical Methods of Natural Language Processing in the System of Operative Determination of the Level of Tension in Society
Introduction. The most important factors causing an increase in the level of tension in society are crisis phenomena and information operations. Today, sociological surveys are considered the main way to determine the level of tension that arises in some group of people in connection with a certain event. However, this method does not allow obtaining detailed information about the dynamics of changes in tension associated with certain news events and the impact of these news events on the general level of tension in society, which complicates the decision-making process by government officials in crisis situations. The purpose of the work is to increase the situational awareness of representatives of state institutions regarding the current level of social tension provoked by crisis phenomena, news events or information operations. The information obtained will help government officials to make quick decisions to overcome these crisis phenomena and counter disinformation. The main task of the research is to develop the architecture and mathematical support of the system of operative determination of the level of tension in society based on data from social networks. Results. The architecture and mathematical support of the system of operative determination of the level of tension in society were developed. An example of the application of this system to determine the level of tension provoked by one news publication is demonstrated. The main advantages and disadvantages of the developed system, as well as directions for further research, are determined. Conclusions. The developed system of operative determination of the level of tension in society helps to quickly identify news events and news publications that have the greatest impact on increasing the level of social tension across the country at certain specific moments of time. The use of a system based on social networks makes it possible to build on the basis of current data such assessments, which can be used to study the dynamics of changes in social tension associated with a certain news event or news publication. Keywords: level of tension in society, social networks, sentiment analysis, TF-IDF, Word2vec, neural networks.
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