TwentyNewsgroups

datasets

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.

Carson Sievert

LDAvis

Interactive Visualization of Topic Models

TwentyNewsgroups function

A list elements extracted from a topic model fit to this data
<dl>
  <dt>phi</dt><dd>phi, a matrix with the topic-term distributions</dd> <dt>theta</dt><dd>theta, a matrix with the document-topic distributions</dd> <dt>doc.length</dt><dd>doc.length, a numeric vector with token counts for each document</dd> <dt>vocab</dt><dd>vocab, a character vector containing the terms</dd> <dt>term.frequency</dt><dd>term.frequency, a numeric vector of observed term frequencies</dd> </dl>

Format

<a href="http://qwone.com/~jason/20Newsgroups/">http://qwone.com/~jason/20Newsgroups/</a>

TwentyNewsgroups: Twenty Newsgroups Data

Description

Usage

Arguments

Format

Source