APPLIED ASPECTS OF CONCEPTUAL ANALYSIS AND MODELING OF TEXT STRUCTURES
Applied aspects of text data analysis and processing are presented and considered from the standpoint of their application in information-analytical systems, information retrieval systems and information security systems. The functioning of these systems is based on the accounting basic principles: principle of systematic text presentation, fuzzy logic principle and learning systems principle. Typology is proposed and examples of texts classification, clustering and identification tasks are considered. The article reviewed examples of practical implementations. The solution for the problem of users’ fuzzy separation in the social community is based on the identification of characteristics, which extracted from their messages. The solution for the categorization problem (natural language texts classification by theme (subject) categories) is based on the proposed text model in the form of the N-grams spectra. We have shown the possibility of using compression methods and Kolmogorov complexity for clustering of source codes and the authorship identification.