COMPLEX METHOD OF AUTOMATIC FONOSEMANTIC ANALYSIS OF TEXT INFORMATION ON THE BASIS OF EVALUATION OF HIGH SEMANTIC UNITS IN THE CONDITIONS OF INFORMATIVE CONTINUATION

V. Barannik, T. Belikova, Maksim Kapko, Irina Gurzhiy, Віті імені Героїв Крут
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引用次数: 2

Abstract

The article proposes a method of analysis of text messages for revealing their semantic orientation and suggestive influence on the subconscious of a person, in the conditions of information confrontation. The method is based on the evaluation of the phonetic component of the word, using phonosemantic analysis. And also structural, probabilistic assessment and evaluation according to place in the sentence, using probabilistic semantic analysis. The method of automatic phonosemantic analysis is described, the algorithm scheme and the concept of the method of automatic semantic analysis are proposed on the basis of the analysis of the structure of the word, with the scheme of the algorithm. A complex method of phonosemantic analysis is proposed based on the estimation of meaningful semantic units, which seeks to combine the two methods described above and demonstrates an example of an estimation of the random, predicted semantically negative sentence. To demonstrate the estimates, a comparison of the results of the proposed method with the results of the general phonosemantic evaluation of the sentence was made. Based on the results, conclusions are formed.
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基于信息延续条件下高语义单位评价的文本信息自动语义分析的复杂方法
本文提出了一种分析短信的方法,以揭示信息对抗条件下短信的语义取向和对人潜意识的暗示作用。该方法是基于对单词的语音成分的评价,使用语音分析。并且根据句子中所处的位置进行结构、概率评估和评价,采用概率语义分析。介绍了自动语音分析的方法,在分析单词结构的基础上,提出了自动语义分析的算法方案和概念,并给出了算法方案。提出了一种基于有意义语义单元估计的复杂语音分析方法,该方法试图将上述两种方法结合起来,并演示了一个随机预测语义否定句的估计示例。为了证明这些估计,将所提出的方法的结果与句子的一般语音评价结果进行了比较。根据结果,得出结论。
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