Publikācijas veids | Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS |
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Pamatdarbībai piesaistītais finansējums | ES struktūrfondi |
Aizstāvēšana: | , |
Publikācijas valoda | English (en) |
Nosaukums oriģinālvalodā | Markov Chain for Author Writing Style Profile Construction |
Pētniecības nozare | 1. Dabaszinātnes |
Pētniecības apakšnozare | 1.2. Datorzinātne un informātika |
Autori |
Pāvels Osipovs
Arkādijs Borisovs |
Atslēgas vārdi | formalization of author writing style, graphs similarity level, Mar- kov chain, texts similarity. |
Anotācija | 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. |
DOI: | 10.1007/978-3-319-58088-3_14 |
Hipersaite: | http://www.springer.com/gp/book/9783319580876 ![]() |
Atsauce | 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 |
Papildinformācija |
Citējamību skaits:
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ID | 26783 |