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.
About the Author
S. F. Lipnitsky
The United Institute of Informatics Problems of the National Academy
of Sciences of Belarus, Minsk
Belarus
D. Sc. (Engineering), Chief Researcher
Belarus
D. Sc. (Engineering), Chief Researcher
References
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Review
For citations:
Lipnitsky S.F. MODELING OF ANALYSIS OF TEXT DOCUMENTS AND BRIEF COMMUNICATIONS BASED ON VERBAL ASSOCIATIONS. Informatics. 2018;15(1):70-80. (In Russ.)
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