PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Authorship Attribution with Thousands of Candidate Authors
Moshe Koppel, Jonathan Schler, Shlomo Argamon and Eran Messeri
In: SIGIR 2006, Aug 2006, Seattle, WA.

Abstract

In this paper, we use a blog corpus to demonstrate that we can often identify the author of an anonymous text even where there are many thousands of candidate authors. Our approach combines standard information retrieval methods with a text categorization meta-learning scheme that determines when to even venture a guess.

EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Natural Language Processing
Information Retrieval & Textual Information Access
ID Code:2680
Deposited By:Jonathan Schler
Deposited On:22 November 2006