SHS Web Conf.
Volume 93, 20213rd International Scientific Conference on New Industrialization and Digitalization (NID 2020)
|Number of page(s)||6|
|Section||Modern Management Technologies and the Development of Knowledge-Intensive Activities|
|Published online||12 January 2021|
A Novel Text Analysis Method: Numerals Reveal the Author
1 Ural State University of Economics, 620144 Ekaterinburg, Russia
2 Ural Federal University, 620002 Ekaterinburg, Russia
3 Universität Duisburg-Essen, 45117 Essen, Germany
* Corresponding author: email@example.com
Two approaches to the statistical analysis of texts are suggested, both based on the study of numerals occurring in literary texts. The first approach is related to the study of the frequency distribution of various leading digits of numerals occurring in the text. This approach is convenient for testing whether a group of texts has common authorship: the latter is dubious if the frequency distributions are sufficiently different. The second approach requires the study of the frequencies of numerals themselves. The approach yields information about the author, stylistic and genre peculiarities of the texts and is suited for advanced study of authorial texts. The hypothesis that I. Ilf and E. Petrov are fake authors of novels "The Twelve Chairs" and "The Little Golden Calf", and they were ghosted by M. Bulgakov, is checked. The frequency distribution of numerals, as well as its cluster analysis, do not confirm this hypothesis.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.