BBCmsg

Pre-processed BBC articles from the BBC news network.

datasets

Cluster any count data matrix with a fixed number of variables, such as document/term matrices. It integrates the dimension reduction aspect of topic models in the mixture models framework. Inference is done by means of a greedy Classification Variational Expectation Maximisation (C-VEM) algorithm. An Integrated Classication Likelihood (ICL) model selection is designed for selecting the latent dimension (number of topics) and the number of clusters. For more details, see the article of Jouvin et. al. (2020) <arxiv:1909.00721>.

Nicolas Jouvin

MoMPCA

Inference and Clustering for Mixture of Multinomial Principal
Component Analysis

BBCmsg function

A list of 4 character vectors containing the vectorized and stemmed documents
(i.e., unigrams with repetition) ;<dl class="dl-horizontal">
 <dt>msg1</dt><dd>the birth of princess Charlotte</dd>
 <dt>msg2</dt><dd>black holes in astrophysics</dd>
 <dt>msg3</dt><dd>UK politics</dd>
 <dt>msg4</dt><dd>cancer diseases in medicine</dd>
</dl>

Format

BBC articles — BBCmsg

A list of 4 character vectors containing the vectorized and stemmed documents
(i.e., unigrams with repetition) ;<dl class='dl-horizontal'>
 <dt>msg1</dt><dd>the birth of princess Charlotte</dd>
 <dt>msg2</dt><dd>black holes in astrophysics</dd>
 <dt>msg3</dt><dd>UK politics</dd>
 <dt>msg4</dt><dd>cancer diseases in medicine</dd>
</dl>

BBCmsg: BBC articles

Description

Usage

Arguments

Format