Publication details

A Framework for Authorship Identification in the Internet Environment



Year of publication 2011
Type Article in Proceedings
Conference Proceedings of Fifth Workshop on Recent Advances in Slavonic Natural Language Processing, RASLAN 2011
MU Faculty or unit

Faculty of Informatics

Field Use of computers, robotics and its application
Keywords authorship identification;authorship similarity
Description 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.
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