quanteda: Quantitative Analysis of Textual Data

A fast, flexible, and comprehensive framework for quantitative text analysis in R. Provides functionality for corpus management, creating and manipulating tokens and ngrams, exploring keywords in context, forming and manipulating sparse matrices of documents by features and feature co-occurrences, analyzing keywords, computing feature similarities and distances, applying content dictionaries, applying supervised and unsupervised machine learning, visually representing text and text analyses, and more.

Version: 1.3.0
Depends: R (≥ 3.1.0), methods
Imports: data.table (≥ 1.9.6), extrafont, fastmatch, ggplot2 (≥ 2.2.0), ggrepel, lubridate, magrittr, Matrix (≥ 1.2), network, RSpectra, Rcpp (≥ 0.12.12), RcppParallel, sna, SnowballC, spacyr, stopwords, stringi, xml2, yaml
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: ca, dplyr, DT, e1071, ExPosition, koRpus, lda, lsa, proxy, purrr, RColorBrewer, rmarkdown, slam, stm, svs, testthat, text2vec, tibble, tidytext, tm (≥ 0.6), topicmodels, xtable, knitr
Published: 2018-06-05
Author: Kenneth Benoit ORCID iD [cre, aut, cph], Kohei Watanabe ORCID iD [aut], Haiyan Wang ORCID iD [aut], Paul Nulty ORCID iD [aut], Adam Obeng ORCID iD [aut], Stefan Müller ORCID iD [aut], Akitaka Matsuo ORCID iD [aut], Patrick O. Perry ORCID iD [aut], Jouni Kuha ORCID iD [aut], Benjamin Lauderdale [aut] (0000-0003-3090-0969; wordfish C++ code), William Lowe ORCID iD [aut], Christian Müller [ctb], Lori Young [dtc] (Lexicoder Sentiment Dictionary 2015), Stuart Soroka [dtc] (Lexicoder Sentiment Dictionary 2015), Ian Fellows [cph] (authored wordcloud C source code (modified)), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit at lse.ac.uk>
BugReports: https://github.com/quanteda/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

Downloads:

Reference manual: quanteda.pdf
Vignettes: The Structure of quanteda
Package source: quanteda_1.3.0.tar.gz
Windows binaries: r-devel: quanteda_1.3.0.zip, r-release: quanteda_1.3.0.zip, r-oldrel: quanteda_1.3.0.zip
OS X binaries: r-release: quanteda_1.3.0.tgz, r-oldrel: quanteda_1.2.0.tgz
Old sources: quanteda archive

Reverse dependencies:

Reverse depends: word.alignment
Reverse imports: clustRcompaR, gofastr, LexisNexisTools, politeness, preText, sentometrics, stm, textstem
Reverse suggests: corpustools, phrasemachine, readtext, stminsights, stopwords, tidytext
Reverse enhances: corpus

Linking:

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