Tools to create an interactive web-based visualization of a topic model that has been fit to a corpus of text data using Latent Dirichlet Allocation (LDA). Given the estimated parameters of the topic model, it computes various summary statistics as input to an interactive visualization built with D3.js that is accessed via a browser. The goal is to help users interpret the topics in their LDA topic model.
|Author||Carson Sievert [aut, cre], Kenny Shirley [aut]|
|Maintainer||Carson Sievert <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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