Methods and software for significant indicators determination of the natural language texts author profile

• Datum: 2023
• Hauptverfasser: Shynkarenko, V.I., Demydovych, I.M.
• Format: Artikel
• Sprache: English
• Veröffentlicht: PROBLEMS IN PROGRAMMING 2023
• Schlagworte: natural language texts; authorship determination; genetic algorithm; recurrent analysis; statistical analysis; text classification; pattern recognition; formal grammars; UDK 004.91
• Online Zugang: https://pp.isofts.kiev.ua/index.php/ojs1/article/view/577
• Назва журналу: Problems in programming

Methods for the formation and optimization of author profiles are presented. The author profile is an image – a vector in a multidimensional space, which components are author’s texts measurements by a number of methods based on 4-grams, stemming, recurrence analysis and formal stochastic grammar. The author’s profile is a model of his language, including vocabulary, sentence syntax features. A comparative analysis of each of the methods effectiveness is carried out. By means of the genetic algorithm, a reduced profile of the author is formed. Insignificant indicators are excluded, which allows to reduce their number by 20%. The reduced author’s profile contains attributes that are significant for this author and is an effective attribution of a particular author.Prombles in programming 2023; 3: 22-29