Nicolay Lyfenko

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A conceptual model is proposed for a system whose function is to solve the problem of automatic classification of text documents in a natural language, i.e., to determine whether a new text document belongs to a predefined class. The functional requirements of the future system are given. Various representations of natural language texts, as well as(More)
The paper describes an application of classification algorithms to the text categorization problem. Author proposes a conceptual scheme for an automatic text categorization system. This system must operate with various text representation models and data mining methods. The novelty of this system consists in advanced implementation of JSM method for(More)
The problem of the automatic categorization of text documents in the natural language is considered. The categorization is made by a method that is based on ideas of J.S. Mill. This technique uses the general principles (but not the technical details) of the JSM method for the automatic generation of hypotheses. Tests are described and the performance(More)
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