We provided experimental results for authorship attribution methods that are based on three topic models (LDA, AT, and DADT) for several scenarios where the number of authors varies from three to about 20,000.
we showed that in most cases, a probabilistic approach that is based on our DADT model (DADT-P) yields the best results, outperforming methods based on LDA and AT, as well as a Token SVM baseline.