MODELING OF ANALYSIS OF TEXT DOCUMENTS AND BRIEF COMMUNICATIONS BASED ON VERBAL ASSOCIATIONS

Abstract

A mathematical model is proposed for the analysis of text documents and short messages based on verbal associations, that is, the semantic links between words and word-combinations corresponding to associative relations between the entities they designate. The aim of the analysis is to create for each analyzed text a tuple of verbal-associative networks of all sentences of the text, as well as constructing a verbal-associative network of the text itself. The verbal-associative supply network is a graph whose vertices are all communicative fragments of the sentence (stable word combinations), and the edges correspond to verbal-associative connections between them. In the case of the text as a whole, the vertices of its verbalassociative network are all communicative fragments of the text.