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Authorship Identification to Improve Public Security

Basic information
Original title:Authorship Identification to Improve Public Security
Authors:Aleš Horák, Karel Pala, Jan Rygl
Further information
Citation:HORÁK, Aleš, Karel PALA and Jan RYGL. Authorship Identification to Improve Public Security. In Zygmunt Vetulani and Edouard Geoffrois. Proceedings of the LREC 2012 Workshop on Language Resources for Public Security Applications. Neuveden: Neuveden, 2012. p. 42-45, 4 pp. ISBN 978-2-9517408-7-7.Export BibTeX
@inproceedings{985957,
author = {Horák, Aleš and Pala, Karel and Rygl, Jan},
address = {Neuveden},
booktitle = {Proceedings of the LREC 2012 Workshop on Language Resources for Public Security Applications},
editor = {Zygmunt Vetulani and Edouard Geoffrois},
keywords = {authorship attribution; web document analysis},
howpublished = {elektronická verze "online"},
language = {eng},
location = {Neuveden},
isbn = {978-2-9517408-7-7},
pages = {42-45},
publisher = {Neuveden},
title = {Authorship Identification to Improve Public Security},
url = {http://www.lrec-conf.org/proceedings/lrec2012/workshops/23.LREC%202012%20Public%20Security%20Proceedings.pdf},
year = {2012}
}
Original language:English
Field:Linguistics
WWW:link to a new windowhttp://www.lrec-conf.org/proceedings/lrec2012/workshops/23.LREC%202012%20Public%20Security%20Proceedings.pdf
Type:Article in Proceedings
Keywords:authorship attribution; web document analysis

In the paper, we present details of a new project aimed at automatic web document analysis for the purpose of authorship attribution based on various stylistic and grammatical features of the text. We describe the corresponding system modules with their expected functionality and provide examples of text processing and evaluating techniques.

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