Zinātniskās darbības atbalsta sistēma
Latviešu English

Publikācija: Markov Chain for Author Writing Style Profile Construction

Publikācijas veids Publikācijas konferenču materiālos, kas ir indeksēti Web of Science un/vai SCOPUS
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:
  • Scopus  0
ID 26783