Paper: Authorship Attribution with Latent Dirichlet Allocation

ACL ID W11-0321
Title Authorship Attribution with Latent Dirichlet Allocation
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2011
Authors

The problem of authorship attribution – at- tributing texts to their original authors – has been an active research area since the end of the 19th century, attracting increased interest in the last decade. Most of the work on au- thorship attribution focuses on scenarios with only a few candidate authors, but recently con- sidered cases with tens to thousands of can- didate authors were found to be much more challenging. In this paper, we propose ways of employing Latent Dirichlet Allocation in authorship attribution. We show that our ap- proach yields state-of-the-art performance for both a few and many candidate authors, in cases where these authors wrote enough texts to be modelled effectively.