Overview and Analysis of Existing Decisions of Determining the Meaning of Text Documents

The paper reviews and analyzes existing solutions for determining the meaning of text documents. Typical questions and problems of determining the meaning of text documents used in modern systems are discussed. The most used models and methods of semantic text processing are considered, as well as the classical process of text processing in semantic analysis. In the course of the analysis, it was found that when using the models considered, in practice, a partial loss of meaningful meaning of the text occurs, which in turn is not always justified, although it allows performing certain procedures of semantic analysis, although it misses the features. The most frequently used libraries of semantic analysis are analyzed in different programming languages such as Java, Rybi, C #, PHP. It should be noted that the considered libraries of semantic analysis operate in the same way, the results of their work are quite similar. Therefore, when developing, it is necessary to take into account specific goals and tasks that the developer must solve, as well as in what functional-style types of texts are analyzed. It is also expedient to perform a statistical analysis of the work of these libraries, on the same tasks and texts. It was found that it is advisable to develop a single system for solving the problem of analyzing and evaluating texts according to different criteria, for example, analyzing texts for text borrowings and borrowing ideas, as well as for determining the authorship of the text, taking into account its paraphrasing.