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LDAvis: A method for visualizing and interpreting topics

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Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, pages 63 70,Baltimore, Maryland, USA, June 27, 2014 Association for Computational LinguisticsLDAvis: A method for visualizing and interpreting topicsCarson SievertIowa State University3414 Snedecor HallAmes, IA 50014, E. ShirleyAT&T Labs Research33 Thomas Street, 26th FloorNew York, NY 10007, presentLDAvis, a web-based interac-tive visualization of topics estimated usingLatent Dirichlet Allocation that is built us-ing a combination of R and D3. Our visu-alization provides a global view of the top-ics (and how they differ from each other),while at the same time allowing for a deepinspection of the terms most highly asso-ciated with each individual topic.

models fit to corpora that don’t have a readily available external source of word co-occurrences. In contrast, Taddy (2011) uses an intrinsic mea-sure to rank terms within topics: a quantity called lift, defined as the ratio of a term’s probability within a topic to its marginal probability across the corpus. This generally decreases the ...

  Topics, Corpora

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