Word Clouds

Functionality to create pretty word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots with text.


Functionality to create pretty word clouds, visualize differences and similarity between documents, and avoid over-plotting in scatter plots with text.

Usage

See: http://blog.fellstat.com/?cat=11

Building and installing

Get the released version from CRAN:

install.packages("wordcloud")

To build from this repository

R CMD build wordcloud
R CMD INSTALL wordcloud_*.*.tar.gz

Or simply

# install.packages("devtools")
devtools::install_github("ifellows/wordcloud")

News

2.6 o updated to make R CMD check happy o Added options for document title colors in comparison.cloud (pull request by Jean-Christophe Bouette) 2.5 o updated for tm 0.6 2.4 o Changed licensing statement at the request of CRAN o Added fixed.asp option to wordcloud 2.2 o added textplot o exposed the word layout algorithm 2.0 o added commonality and comparison clouds o word coloring can be done on a per word basis (thanks to David Robinson) 1.4 o change import to include 1.2 o added random word coloring option (thank you xavier dutoit for the patch) o Fixed max.words bug (thank you Manuel Eugster and Bettina Gruen for the patch) 1.1 o Initial release

Reference manual

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install.packages("wordcloud")

2.6 by Ian Fellows, 7 months ago


http://blog.fellstat.com/?cat=11 http://www.fellstat.com


Browse source code at https://github.com/cran/wordcloud


Authors: Ian Fellows


Documentation:   PDF Manual  


Task views: Natural Language Processing


LGPL-2.1 license


Imports Rcpp

Depends on methods, RColorBrewer

Suggests tm, slam

Linking to Rcpp


Imported by PubMedWordcloud, R.temis, SOMbrero, TELP, TextForecast, corpustools, gcite, inpdfr, petro.One, qdap, rbefdata, smacof, statquotes, steemr, textmining.

Depended on by DeducerText, GNAR.

Suggested by HSAUR2, HSAUR3, PGRdup, fivethirtyeight, ggwordcloud, quanteda, stm, textmineR, tidytext.


See at CRAN