R: A collection of newsgroup messages with classes.

newsgroups {lda} | R Documentation

## A collection of newsgroup messages with classes.

### Description

The 20 Newsgroups data set is a collection of approximately 20,000 newsgroup documents, partitioned (nearly) evenly across 20 different newsgroups.

### Usage

    data(newsgroup.train.documents)
    data(newsgroup.test.documents)
    data(newsgroup.train.labels)
    data(newsgroup.test.labels)
    data(newsgroup.vocab)
    data(newsgroup.label.map)

### Format

`newsgroup.train.documents` and `newsgroup.test.documents` comprise a corpus of 20,000 newsgroup documents conforming to the LDA format, partitioned into 11269 training and 7505 training and test cases evenly distributed across 20 classes.

`newsgroup.train.labels` is a numeric vector of length 11269 which gives a class label from 1 to 20 for each training document in the corpus.

`newsgroup.test.labels` is a numeric vector of length 7505 which gives a class label from 1 to 20 for each training document in the corpus.

`newsgroup.vocab` is the vocabulary of the corpus.

`newsgroup.label.map` maps the numeric class labels to actual class names.

### Source

http://qwone.com/~jason/20Newsgroups/

### See Also

`lda.collapsed.gibbs.sampler` for the format of the corpus.

### Examples

    data(newsgroup.train.documents)
    data(newsgroup.test.documents)
    data(newsgroup.train.labels)
    data(newsgroup.test.labels)
    data(newsgroup.vocab)
    data(newsgroup.label.map)

[Package lda version 1.4.2 Index]