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Method of Identification of Extremist Texts in the Russian Language Based on the Fuzzy Logic

机译:基于模糊逻辑的俄语中极值文本的识别方法

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The article describes the author's methodology of the study of the Russian language texts in order to identify their extremist orientation. This method is based on the fuzzy logic. The identified problems in solving the task are indicated. Then the description of the method is presented. There are also main points of fuzzy logic and soft computing tools used in the development of the method. We also determined a set of indicators consisting of four groups: (1) markers of extremist orientation (by types of extremism); (2) markers of linguistic manipulation; (3) indicators of verbal aggression; (4) scientific and journalistic terms. There is quantitative and qualitative characterization for each group of indicators. After that, the process of formation of the evaluation of the studied text on the extremist orientation is described in detail. This process is described on the basis of the system being fuzzy-logical conclusions, called fuzzy multilevel [0,1] - classifiers.
机译:本文介绍了作者的俄语文本研究的方法,以确定其极端主义方向。此方法基于模糊逻辑。指出了解决任务的确定问题。然后呈现该方法的描述。还有用于开发方法的模糊逻辑和软计算工具的要点。我们还确定了一系列由四组组成的指标:(1)极端主义方向的标记(通过极端主义的类型); (2)语言操作标志; (3)口头侵略指标; (4)科学和新闻。每组指标都有定量和定性表征。之后,详细描述了对研究中研究的研究评估的形成过程。该过程是基于系统模糊逻辑结论的基础描述,称为模糊多级[0,1] - 分类器。

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