Generalized Semantic Analysis Algorithm of Natural Language Texts for Various Functional Style Types

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Natalia Sharonova (1), Iryna Gruzdo (2) , Iryna Kyrychenko (2) and Glib Tereshchenko (2)

1- National Technical University "KhPI", Kyrpychova str. 2, Kharkiv, 61002, Ukraine
2- Kharkiv National University of Radioelectronics, Nauky Ave. 14, Kharkiv, 61166, Ukraine

The paper reviews and analyzes existing solutions for determining the meaning of text documents. The issues and problems of determining the meaning of text documents were discussed. The most used models and algorithms of semantic analysis are considered. In the course of the analysis, it was found that when applying classical models of semantic analysis in practice, there is a partial loss of the meaningful meaning of the text, which in turn is not always justified, although it allows you to perform some procedures, but misses a number of features. A theoretical algorithm for the semantic analysis of natural language texts in a generalized form from existing ones was developed. The process of determining the quality of decisions made to find the degree of semantic proximity in text work has been designed
  1. Colins Conference
  2. Text fragment
  3. text information
  4. algorithm
  5. text analysis
  6. text meaning determination
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