cpsievert/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.

Getting started

Package details

LicenseMIT + file LICENSE
URL https://github.com/cpsievert/LDAvis
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
cpsievert/LDAvis documentation built on May 13, 2019, 10:54 p.m.