Anchor-Free Correlated Topic Modeling: Identifiability and Algorithm

NeurIPS 2016 Kejun HuangXiao FuNicholas D. Sidiropoulos

In topic modeling, many algorithms that guarantee identifiability of the topics have been developed under the premise that there exist anchor words -- i.e., words that only appear (with positive probability) in one topic. Follow-up work has resorted to three or higher-order statistics of the data corpus to relax the anchor word assumption... (read more)

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