“Authorship verification: A review of recent advances”

Efstathios Stamatatos

Dept. of Information and Communication Systems Engineering
University of the Aegean

Abstract:

Authorship analysis has a long research history and is related to important modern applications. It deals with the personal style of authors and attempts to discover who the author of a disputed text is. An important issue related to authorship analysis is the quantitative representation of writing style, a line of research known as stylometry. A wide variety of stylometric features have been proposed so far covering measures that are extracted from raw text, syntactic parse trees, semantic structures etc. Various models have been reported in relevant literature on how to use stylometric information within an attribution model. In this presentation, we will introduce the basic tasks and applications in modern authorship analysis. Then, the main stylometric approaches will be presented and their pros and cons will be discussed. Moreover, the most important attribution paradigms and most successful methods will be described. Special focus will be given on practical aspects concerning the development of appropriate methods for given applications as well as the robust evaluation of authorship analysis systems.

Short Bio:

Dr. Efstathios Stamatatos received the diploma degree in electrical engineering (1994) and the doctoral degree in electrical and computer engineering (2000), both from the University of Patras, Greece. In the past, he has worked at the Polytechnic University of Madrid (1998) as a visiting researcher, the Austrian Research Institute for Artificial Intelligence as a post-doc researcher (2001-2002) and the Technological Educational Institute of Ionian Islands (2003-2004) as an assistant professor. Since 2004 he is a member of the faculty staff of the Department of information and Communication Systems Engineering, University of the Aegean (currently an associate professor). His research interests include text mining, natural language processing, information retrieval, and machine learning. He is the director of the Artificial Intelligence Lab., University of the Aegean, and has co-organized several international evaluation campaigns on plagiarism detection, authorship attribution and social software misuse.