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LDAvis

Interactive Visualization of Topic Models

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.

Functions (7)

TwentyNewsgroups

Twenty Newsgroups Data

createJSON

Create the JSON object to read into the javascript visualization

jsPCA

Dimension reduction via Jensen-Shannon Divergence & Principal Components

renderVis

Create an LDAvis output element

runShiny

Run shiny/D3 visualization

serVis

View and/or share LDAvis in a browser

visOutput

Shiny ui output function

LDAvis

Interactive Visualization of Topic Models

v0.3.2
MIT + file LICENSE
Authors
Carson Sievert [aut, cre], Kenny Shirley [aut]
Initial release

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