Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts.
authorship attribution of literary texts
data compression
hypothesis testing
quantitative study of literature
Journal
Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874
Informations de publication
Date de publication:
03 Oct 2021
03 Oct 2021
Historique:
received:
13
09
2021
revised:
29
09
2021
accepted:
29
09
2021
entrez:
23
10
2021
pubmed:
24
10
2021
medline:
24
10
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34682026
pii: e23101302
doi: 10.3390/e23101302
pmc: PMC8534409
pii:
doi:
Types de publication
Journal Article
Langues
eng
Subventions
Organisme : Ministry of Higher Education
ID : 13.1902.21.0016
Organisme : Ministry of Science and Higher Education of Russia
ID : 13.1902.21.0016
Références
Forensic Sci Int. 2013 May 10;228(1-3):100-4
pubmed: 23597746