An Approach to Text Data Categorization Based on the Ideas of J.S. Mill

摘要

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 quality of the system that was built to carry out the described technique is assessed. With an optimal selection of options, the suggested approach shows better accuracy than other techniques.