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LDAvis: A method for visualizing and interpreting topics

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. First,we propose a novel method for choosingwhich terms to present to a user to aid inthe task of topic interpretation, in whichwe define therelevanceof a term to atopic.

implement a new statistical topic model that infers both a term’s frequency as well as its exclusivity – the degree to which its occurrences are limited to only a few topics. They introduce a univari-ate measure called a FREX score (“FRequency and EXclusivity”) which is a weighted harmonic mean of a term’s rank within a given topic with

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