Methods of automatically determining the authenticity data of the natural language texts
This article discusses modern tools for analyzing and processing textual information. A method is proposed for automatically comparing documents of various dimensions for the authenticity of information presented in one of them with respect to the second one, which, in turn, is a proven source for a given subject area. And also describes the best way to select the desired source for the question, the answer to which is the text to be checked. The technique is based on a comparison of knowledge graphs derived from the “relationships” of keywords with other elements of the text. In addition, adapted models for obtaining vector representations of documents in a multidimensional space, taking into account the semantics and context in which they are used. The proposed approach provides for a pre-formed database with sources (theoretical materials of the subject area) and a question-answer module (which will be checked for authenticity).