Method of Distinguishing Styles by Fractal and Statistical Indicators of the Text as a Sequence of the Number of Letters in Its Words

Roman Kaminskiy, Nataliya Shakhovska, Jana Kajanová and Yurii Kryvenchuk
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Roman Kaminskiy: Department of Artificial Intelligence, Lviv Polytechnic National University, 79013 Lviv, Ukraine
Nataliya Shakhovska: Department of Artificial Intelligence, Lviv Polytechnic National University, 79013 Lviv, Ukraine
Jana Kajanová: Department of Information Systems, Faculty of Management, Comenius University, Odbojárov 10, 814 99 Bratislava, Slovakia
Yurii Kryvenchuk: Department of Artificial Intelligence, Lviv Polytechnic National University, 79013 Lviv, Ukraine

Mathematics, 2021, vol. 9, issue 19, 1-16

Abstract: The method of the analysis of different texts styles is developed in the paper. Integer numerical sequences are used as models. The elements of the sequence are the number of letters in the words of the text. The algorithm for calculating the exact value of the fractal dimension is developed. It provides the determination of the exact value of the Hurst index. The value of the power dependence constant is calculated. The obtained indicators in the aspect of fractality completely describe the objects of research.

Keywords: text modeling; fractal dimension; cellular method; Hurst index; power function constant (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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