quanteda: Quantitative Analysis of Textual Data

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

Version: 0.9.9-65
Depends: R (≥ 3.2.2), methods
Imports: utils, stats, Matrix (≥ 1.2), data.table (≥ 1.9.6), SnowballC, wordcloud, Rcpp, RcppParallel, RSpectra, stringi, fastmatch, ggplot2 (≥ 2.2.0), XML, yaml
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: knitr, rmarkdown, lda, proxy, topicmodels, tm (≥ 0.6), slam, testthat, RColorBrewer, xtable, DT, ca
Published: 2017-05-26
Author: Kenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]
Maintainer: Kenneth Benoit <kbenoit at lse.ac.uk>
BugReports: https://github.com/kbenoit/quanteda/issues
License: GPL-3
URL: http://quanteda.io
NeedsCompilation: yes
SystemRequirements: C++11
Citation: quanteda citation info
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: quanteda results


Reference manual: quanteda.pdf
Vignettes: Getting Started Guide
Package source: quanteda_0.9.9-65.tar.gz
Windows binaries: r-devel: quanteda_0.9.9-65.zip, r-release: quanteda_0.9.9-65.zip, r-oldrel: quanteda_0.9.9-65.zip
OS X El Capitan binaries: r-release: quanteda_0.9.9-65.tgz
OS X Mavericks binaries: r-oldrel: quanteda_0.9.9-65.tgz
Old sources: quanteda archive

Reverse dependencies:

Reverse depends: word.alignment
Reverse imports: clustRcompaR, gofastr, preText, stm, textstem
Reverse suggests: phrasemachine, readtext, tidytext


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