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cs.IR2021
Hierarchical Topic Presence Models
Jason Wang, Robert E. Weiss
Topic models analyze text from a set of documents. Documents are modeled as a mixture of topics, with topics defined as probability distributions on words. Inferences of interest i…
cs.IR2021
Local and Global Topics in Text Modeling of Web Pages Nested in Web Sites
Jason Wang, Robert E. Weiss
Topic models are popular models for analyzing a collection of text documents. The models assert that documents are distributions over latent topics and latent topics are distributi…