Analysis of the Use of Methods and Feature Groups for Author Recognition on the Example of Texts in the Azerbaijani Language

In the study, the problem of authorship recognition of texts in the example of fiction literature works in the Azerbaijani language is considered. Based on the results of computer experiments for use in an author recognition computer system, the recognition effectiveness of using different text features groups with different methods and models of machine learning was evaluated.