Identification of Performer of Text by Frequency Grammatical Features and Syntactical Singularities

Abstract

The approach is suggested to the identification of a performer of texts by analysis of frequency of grammatical and syntactic features of the text. The approach is applicable when there are some texts of known performer and the performer of some other texts must be identified. Identification is done with use of machine learning. Texts of known performer are considered as a learning set and those analyzed are input.

Keywords

• identification
• association rules
• informational security