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In this paper, we propose a new variant of latent Dirichlet allocation (LDA): Collective LDA (C-LDA), for multiple corpora modeling. C-LDA combines multiple corpora during learning such that it can transfer knowledge from one corpus to another; meanwhile it keeps a discriminative node which represents the corpus ID to constrain the learned topics in each corpus. Compared with LDA locally applied to...
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