Source-LDA: Enhancing probabilistic topic models using prior knowledge sources

2 Jun 2016 Justin Wood Patrick Tan Wei Wang Corey Arnold

A popular approach to topic modeling involves extracting co-occurring n-grams of a corpus into semantic themes. The set of n-grams in a theme represents an underlying topic, but most topic modeling approaches are not able to label these sets of words with a single n-gram... (read more)

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