quanteda: Quantitative Analysis of Textual Data

A fast, flexible toolset for for the management, processing, and quantitative analysis of textual data in R.

Depends: R (≥ 3.2.2)
Imports: methods, utils, stats, Matrix (≥ 1.2), data.table (≥ 1.9.6), SnowballC, wordcloud, proxy, parallel, Rcpp, ca, stringi, httr
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, lda, topicmodels, jsonlite (≥ 0.9.10), streamR, tm (≥ 0.6), slam, XML, testthat, RColorBrewer, ggplot2 (≥ 2.1.0), grid
Published: 2016-10-16
Author: Kenneth Benoit [aut, cre], Paul Nulty [aut], Kohei Watanabe [ctb], Benjamin Lauderdale [ctb], Adam Obeng [ctb], Pablo Barberá [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit at lse.ac.uk>
BugReports: https://github.com/kbenoit/quanteda/issues
License: GPL-3
URL: http://github.com/kbenoit/quanteda
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: quanteda results


Reference manual: quanteda.pdf
Vignettes: Literature
Design Principles and Development Plans
Getting Started Guide
Package source: quanteda_0.9.8.3.tar.gz
Windows binaries: r-devel: quanteda_0.9.8.3.zip, r-release: quanteda_0.9.8.3.zip, r-oldrel: quanteda_0.9.8.3.zip
OS X Mavericks binaries: r-release: quanteda_0.9.8.3.tgz, r-oldrel: quanteda_0.9.8.3.tgz
Old sources: quanteda archive

Reverse dependencies:

Reverse depends: word.alignment
Reverse imports: phrasemachine, preText
Reverse suggests: tidytext


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