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@inproceedings{959039,
author = {Rygl, Jan and Horák, Aleš},
address = {Brno (Czech Republic)},
booktitle = {Proceedings of Fifth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2011},
edition = {1st ed.},
keywords = {authorship identification;authorship similarity},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Brno (Czech Republic)},
isbn = {978-80-263-0077-9},
pages = {117-124},
publisher = {Tribun EU},
title = {A Framework for Authorship Identification in the Internet Environment},
url = {http://raslan2011.nlp-consulting.net/},
year = {2011}
}
TY - JOUR
ID - 959039
AU - Rygl, Jan - Horák, Aleš
PY - 2011
TI - A Framework for Authorship Identification in the Internet Environment
PB - Tribun EU
CY - Brno (Czech Republic)
SN - 9788026300779
KW - authorship identification;authorship similarity
UR - http://raslan2011.nlp-consulting.net/
N2 - Misuse of anonymous online communication for illegal purposes has become a major concern. In this paper, we present a framework named ART (Authorship Recognition Tool), that is designed to minimize manual procedures and maximize the efficiency of authorship identification based on the content of Internet electronic documents. The framework covers the phases of document retrieval and database document management. ART provides implementations of efficient authorship identification algorithm and authorship similarity algorithm including the possibility to obtain extra data for learning and tests. The framework also determines whether or not different author’s identities are interlinked. The authorship is analysed by machine learning and natural language processing methods. Technical information such as IP address is considered only as an optional attribute for the machine learning because it can be easily forged or devalued if the author communicates from public places or through proxy servers.
ER -
RYGL, Jan and Aleš HORÁK. A Framework for Authorship Identification in the Internet Environment. In \textit{Proceedings of Fifth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2011}. 1st ed. Brno (Czech Republic): Tribun EU, 2011, p.~117-124. ISBN~978-80-263-0077-9.
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