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Scalable Dynamic Topic Modeling with Clustered Latent Dirichlet Allocation (CLDA)
In this paper, we introduce and empirically analyze Clustered Latent Dirichlet Allocation (CLDA), a method for extracting dynamic latent topics from a collection of documents.
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