Literary writing style recognition via a minimal spanning tree-based approach

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10330547" target="_blank" >RIV/00216208:11320/16:10330547 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.eswa.2016.05.032" target="_blank" >http://dx.doi.org/10.1016/j.eswa.2016.05.032</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.eswa.2016.05.032" target="_blank" >10.1016/j.eswa.2016.05.032</a>

Result language
angličtina
Original language name
Literary writing style recognition via a minimal spanning tree-based approach
Original language description
In this paper, we address the problem of literary writing style determination using a comparison of the randomness of two given texts. We attempt to comprehend if these texts are generated from distinct probability sources that can reveal a difference between the literary writing styles of the corresponding authors. We propose a new approach based on the incorporation of the known Friedman-Rafsky twosample test into a multistage procedure with the aim of stabilizing the process.
Czech name
—
Czech description
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Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10103 - Statistics and probability

Project
<a href="/en/project/GA16-03708S" target="_blank" >GA16-03708S: Spatial geometrical statistics of random sets in Euclidean spaces</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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