A Framework for Authorship Identification in the Internet
Environment

D 2011

A Framework for Authorship Identification in the Internet Environment

RYGL, Jan and Aleš HORÁK

Basic information

Original name

A Framework for Authorship Identification in the Internet Environment

Authors

RYGL, Jan (203 Czech Republic, belonging to the institution) and Aleš HORÁK (203 Czech Republic, guarantor, belonging to the institution)

Edition

1st ed. Brno (Czech Republic), Proceedings of Fifth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2011, p. 117-124, 8 pp. 2011

Publisher

Tribun EU

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20200 2.2 Electrical engineering, Electronic engineering, Information engineering

Country of publisher

Czech Republic

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

conference page paper

RIV identification code

RIV/00216224:14330/11:00054037

Organization unit

Faculty of Informatics

ISBN

978-80-263-0077-9

Keywords (in Czech)

určování autorství;podobnost autorství

Keywords in English

authorship identification;authorship similarity

Abstract

V originále

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.

Links

LC536, research and development project

Name: Centrum komputační lingvistiky

Investor: Ministry of Education, Youth and Sports of the CR, Centrum komputační lingvistiky

VF20102014003, research and development project

Name: Analýza přirozeného jazyka v prostředí internetu (Acronym: APJI)

Investor: Ministry of the Interior of the CR

Citovat

RYGL, Jan and Aleš HORÁK. A Framework for Authorship Identification in the Internet Environment. In 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.

@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.

Detailed Information on Publication Record