Using Data Compression to Build a Method for Statistically Verified Attribution of Literary Texts.

Published in: Entropy (Basel, Switzerland) (2021)

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.

Keyphrases

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big data
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machine learning
data analysis
deep learning