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: 2.1.2
Depends: R (≥ 3.1.0), methods
Imports: data.table (≥ 1.9.6), extrafont, fastmatch, ggplot2 (≥ 2.2.0), ggrepel, jsonlite, magrittr, Matrix (≥ 1.2), network, Rcpp (≥ 0.12.12), RcppParallel, sna, SnowballC, stopwords, stringi, xml2, yaml, proxyC (≥ 0.1.4), digest
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: dplyr, DT, e1071, entropy, ExPosition, lda, lsa, proxy, purrr, quanteda.textmodels, RColorBrewer, rmarkdown, slam, spacyr, spelling, stm, svs, testthat, text2vec, tibble, formatR, tidytext, tm (≥ 0.6), tokenizers, topicmodels, xtable, knitr, igraph, wordcloud
Published: 2020-09-23
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], Jiong Wei Lua [aut], Jouni Kuha ORCID iD [aut], 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: https://quanteda.io
NeedsCompilation: yes
SystemRequirements: C++11
Language: en-GB
Citation: quanteda citation info
Materials: README NEWS
In views: NaturalLanguageProcessing
CRAN checks: quanteda results


Reference manual: quanteda.pdf
Vignettes: Quick Start Guide
Package source: quanteda_2.1.2.tar.gz
Windows binaries: r-devel: quanteda_2.1.2.zip, r-release: quanteda_2.1.2.zip, r-oldrel: quanteda_2.1.2.zip
macOS binaries: r-release: quanteda_2.1.2.tgz, r-oldrel: quanteda_2.1.2.tgz
Old sources: quanteda archive

Reverse dependencies:

Reverse depends: seededlda
Reverse imports: collector, corpustools, doc2concrete, gofastr, keyATM, LDAShiny, LexisNexisTools, LSX, newsmap, oolong, politeness, quanteda.textmodels, quanteda.textplots, quanteda.textstats, rainette, RNewsflow, sentometrics, stm, textstem, tosca
Reverse linking to: quanteda.textmodels, quanteda.textstats, seededlda
Reverse suggests: explor, mlr3pipelines, readtext, spacyr, stminsights, stopwords, tidytext
Reverse enhances: corpus


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