IDENTIFICATION OF AUTHORS OF A ECONOMICS-POLITICAL TEXT BY MEANS OF A SYMBOL TRIGRAMS

Ilhomjon Qodirov

Authors

            Soliev O.M. – Candidate of Physical and Mathematical Sciences, Department of Programming and Information Technologies, Polytechnic Institute of Tajik Technical University, Khujand, Republic of Tajikistan, osoliev@gmail.com.

           Kosimov O.A. – assistant, Department of Programming and Information Technologies, Polytechnic Institute of Tajik Technical University, Khujand, Republic of Tajikistan, oqosimov9293@gmail.com.

Annotation

          The article established that the distribution of the frequency of trigrams in the economic and political works of the Russian language is the identifier of authorship. The Z.D. Usmanov classifier’s capabilities to recognize the author of a text by the frequency of alphabetic trigrams are investigated. A digital portrait and a metric space of works are constructed. Assuming the uniqueness of the author’s creativity, the threshold values ​​of the metrics are established, on the basis of which the classes of “homogeneous” works are determined. The classifier of discrete random variables, which confirmed high efficiency in identifying authorship of text fragments in works of classical and modern poetry, as well as in modern Tajik prose, is tested for adaptability to recognition of authorship in economic and political works. It is concluded that symbol trigrams are acceptable quantitative characteristics for identifying text authors. Including spaces in trigrams improves classification accuracy. The γ-classifier of discrete random variables, which confirmed high efficiency in identifying the authorship of text fragments in works of classical and modern poetry, as well as in modern prose of the Tajik language, is tested for adaptability to the recognition of authorship in economical and political text.

Key words

   Russian language, economical and political text, trigram, classifier, frequency, statistics, efficiency.

Language

english

Type

technical

Year

2019

Page

28

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Publication date

09/22/2023