Use of Text Skeleton Structures for the Development of Semantic Search Methods

Abstract

This paper considers the problem of the generation of descriptors to reduce data volumes, text data resources, and search times through the use of the new factors of authorship, region, emotive meaning, and popularity, as well as a text category without special marks that can be used to generate descriptors. This approach allows the use of unique lexical-grammatical and distributive text regularities. The research outcomes can be used to determine authorship and text type.