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2012

Authorship Attribution with Author-aware Topic Models

7 years 6 months ago
Authorship Attribution with Author-aware Topic Models
Authorship attribution deals with identifying the authors of anonymous texts. Building on our earlier finding that the Latent Dirichlet Allocation (LDA) topic model can be used to improve authorship attribution accuracy, we show that employing a previously-suggested Author-Topic (AT) model outperforms LDA when applied to scenarios with many authors. In addition, we define a model that combines LDA and AT by representing authors and documents over two disjoint topic sets, and show that our model outperforms LDA, AT and support vector machines on datasets with many authors.
Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where ACL
Authors Yanir Seroussi, Fabian Bohnert, Ingrid Zukerman
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