A novel word ranking method based on distorted entropy

Ali Mehri, Hamzeh Agahi and Hossein Mehri-Dehnavi

Physica A: Statistical Mechanics and its Applications, 2019, vol. 521, issue C, 484-492

Abstract: This paper proposes an application of distorted entropy as well-known tools for non-additive expected utility theory in word ranking. Our algorithms for two books “Statistical Inference” by Casella and Berger and “The Origin of Species” by Charles Darwin show that our method on the distorted entropy improves the corresponding ones in the literature.

Keywords: Non-additive entropy; Tsallis entropy; Word ranking; Distorted probabilities (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:521:y:2019:i:c:p:484-492

DOI: 10.1016/j.physa.2019.01.080

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