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Interactive topic modeling

Yuening Hu^a✉, Jordan Lee Boyd-Graber^b, Brianna Satinoff^a, Alison Smith^a

^aComputer Science, University of Maryland, College Park, Maryland, USA
^biSchool and UMIACS, University of Maryland, College Park, Maryland, USA
✉Corresponding author

Machine Learning Springer Science+Business Media2013-10-18 338 citations107 references

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TL;DRThis paper presents a mechanism for giving users a voice by encoding users’ feedback to topic models as correlations between words into a topic model, and develops more efficient inference algorithms for tree-based topic models. (Semantic Scholar)

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Interactive topic modeling

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