Using data compression to build a method for statistically verified attribution of literary texts

Boris Ryabko; Nadezhda Savina

doi:10.3390/e23101302

Using data compression to build a method for statistically verified attribution of literary texts

Research output: Contribution to journal › Article › peer-review

Abstract

We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors. Unlike other methods, the suggested one gives a possibility to make statistically verified results. This method is used to solve two problems of attribution in Russian literature.

Original language	English
Article number	1302
Journal	Entropy
Volume	23
Issue number	10
DOIs	https://doi.org/10.3390/e23101302
Publication status	Published - Oct 2021

Keywords

Authorship attribution of literary texts
Data compression
Hypothesis testing
Quantitative study of literature

OECD FOS+WOS

1.02 COMPUTER AND INFORMATION SCIENCES
1.01 MATHEMATICS
1.03 PHYSICAL SCIENCES AND ASTRONOMY

Access to Document

10.3390/e23101302

Cite this

@article{5e0862b83fc147c887562e06362624cd,

title = "Using data compression to build a method for statistically verified attribution of literary texts",

abstract = "We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors. Unlike other methods, the suggested one gives a possibility to make statistically verified results. This method is used to solve two problems of attribution in Russian literature.",

keywords = "Authorship attribution of literary texts, Data compression, Hypothesis testing, Quantitative study of literature",

author = "Boris Ryabko and Nadezhda Savina",

note = "Funding Information: Funding: This study was funded by the Russian Federation represented by the Ministry of Science and Higher Education of Russia in the framework of a large-scale research project «Socio-Economic Development of Asian Russia on the Basis of Synergy of Transport Accessibility, System Knowledge of the Natural Resource Potential, Expanding Space of Inter-Regional Interactions», Agreement no. 075-15-2020-804 dated 02.10.2020 (grant 13.1902.21.0016). Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = oct,

doi = "10.3390/e23101302",

language = "English",

volume = "23",

journal = "Entropy",

issn = "1099-4300",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "10",

}

TY - JOUR

T1 - Using data compression to build a method for statistically verified attribution of literary texts

AU - Ryabko, Boris

AU - Savina, Nadezhda

N1 - Funding Information: Funding: This study was funded by the Russian Federation represented by the Ministry of Science and Higher Education of Russia in the framework of a large-scale research project «Socio-Economic Development of Asian Russia on the Basis of Synergy of Transport Accessibility, System Knowledge of the Natural Resource Potential, Expanding Space of Inter-Regional Interactions», Agreement no. 075-15-2020-804 dated 02.10.2020 (grant 13.1902.21.0016). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/10

Y1 - 2021/10

N2 - We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors. Unlike other methods, the suggested one gives a possibility to make statistically verified results. This method is used to solve two problems of attribution in Russian literature.

AB - We consider the problems of the authorship of literary texts in the framework of the quantitative study of literature. This article proposes a methodology for authorship attribution of literary texts based on the use of data compressors. Unlike other methods, the suggested one gives a possibility to make statistically verified results. This method is used to solve two problems of attribution in Russian literature.

KW - Authorship attribution of literary texts

KW - Data compression

KW - Hypothesis testing

KW - Quantitative study of literature

UR - http://www.scopus.com/inward/record.url?scp=85116816890&partnerID=8YFLogxK

U2 - 10.3390/e23101302

DO - 10.3390/e23101302

M3 - Article

C2 - 34682026

AN - SCOPUS:85116816890

VL - 23

JO - Entropy

JF - Entropy

SN - 1099-4300

IS - 10

M1 - 1302

ER -

Using data compression to build a method for statistically verified attribution of literary texts

Abstract

Keywords

OECD FOS+WOS

Access to Document

Other files and links

Fingerprint

Cite this