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

Documentation

Manual: quanteda.pdf
Vignette: Getting Started Guide

Maintainer: Kenneth Benoit <kbenoit at lse.ac.uk>

Author(s): Kenneth Benoit*, Kohei Watanabe*, Paul Nulty*, Adam Obeng*, Haiyan Wang*, Benjamin Lauderdale*, Will Lowe*

Install package and any missing dependencies by running this line in your R console:

install.packages("quanteda")

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
Suggests knitr, rmarkdown, lda, proxy, topicmodels, tm(>=0.6), slam, testthat, RColorBrewer, xtable, DT, ca
Enhances
Linking to Rcpp, RcppParallel, RcppArmadillo(>=0.7.600.1.0)
Reverse
depends
word.alignment
Reverse
imports
clustRcompaR, gofastr, preText, stm, textstem
Reverse
suggests
phrasemachine, readtext, tidytext
Reverse
enhances
Reverse
linking to

Package quanteda
Materials
URL http://quanteda.io
Task Views NaturalLanguageProcessing
Version 0.9.9-65
Published 2017-05-26
License GPL-3
BugReports https://github.com/kbenoit/quanteda/issues
SystemRequirements C++11
NeedsCompilation yes
Citation
CRAN checks quanteda check results
Package source quanteda_0.9.9-65.tar.gz