Authorship attribution with thousands of candidate authors

M. Koppel, J Schler, S Argamon, E Messeri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.
Original languageAmerican English
Title of host publication29th annual international ACM SIGIR conference on Research and development in information retrieval
StatePublished - 2006

Bibliographical note

Place of conference:USA


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