Markov Chain for Author Writing Style Profile Construction

Recent Advances in Soft Computing: Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016) 2017
Pāvels Osipovs, Arkādijs Borisovs

In this paper, the latest results of research in the area of author’s per- sonal style profile construction are reviewed. The main goal is to explore the ability to use Markov chain graph, educated based on original author texts to store specifics of his personal writing features. Having such personal profile en- ables text comparison for authorship confirmation. The ability to do it will be in demand in lot of different areas, for example, authorship detection of scientific articles, or artistic literature texts. This paper describes the main idea offered, the proposed algorithm for two graphs similarity level calculation, the structure of the experimental system created and results of the experiments conducted.

Atslēgas vārdi
formalization of author writing style, graphs similarity level, Mar- kov chain, texts similarity.
DOI
10.1007/978-3-319-58088-3_14
Hipersaite
http://www.springer.com/gp/book/9783319580876

Osipovs, P., Borisovs, A. Markov Chain for Author Writing Style Profile Construction. No: Recent Advances in Soft Computing: Proceedings of the 22nd International Conference on Soft Computing (MENDEL 2016), Čehija, Brno, 8.-10. jūnijs, 2016. Cham: Springer International Publishing AG, 2017, 147.-157.lpp. ISBN 978-3-319-58088-3. ISSN 1803-3814. Pieejams: doi:10.1007/978-3-319-58088-3_14

Publikācijas valoda
English (en)