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

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...

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Bibliographic Details
Published inBezopasnostʹ informat͡s︡ionnykh tekhnologiĭ Vol. 18; no. 1; pp. 108 - 110
Main Authors S. D. Kulik, K. I. Tkachenko, I. A. Lukyanov
Format Journal Article
LanguageEnglish
Published Joint Stock Company "Experimental Scientific and Production Association SPELS 01.03.2011
Subjects
association rules
identification
informational security
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Summary: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.
ISSN:2074-7128
2074-7136