reuters: Reuters

In news-r/nltk: Integration of the Python Natural Language Toolkit Library

Description

The Reuters Corpus contains 10,788 news documents totaling 1.3 million words. The documents have been classified into 90 topics, and grouped into two sets, called "training" and "test"; thus, the text with fileid 'test/14826' is a document drawn from the test set.

Usage

reuters_files(category = NULL, to_r = FALSE)

reuters_categories(..., to_r = FALSE)

reuters_raw(..., to_r = FALSE)

reuters_words(..., to_r = FALSE)

reuters_sents(..., to_r = FALSE)

Arguments

category	A category or a list of categories, see examples.
to_r	Whether to return results in R tidy format.
...	Additional parameters such as categories, see examples.

Examples

## Not run: 
files <- reuters_files(to_r = TRUE)
categories <- reuters_categories() # all categories
reuters_categories(sample(files, 1)) 
reuters_words(categories = "barley") 
reuters_files("barley") 

## End(Not run)

news-r/nltk documentation built on Nov. 4, 2019, 9:40 p.m.