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 n-grams, 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: 3.2.3
Depends: R (≥ 3.5.0), methods
Imports: fastmatch, magrittr, Matrix (≥ 1.2), Rcpp (≥ 0.12.12), RcppParallel, SnowballC, stopwords, stringi, xml2, yaml
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (≥ 0.7.600.1.0)
Suggests: rmarkdown, spelling, testthat, formatR, tm (≥ 0.6), tokenizers, knitr, lda, lsa, dplyr, purrr, quanteda.textmodels, quanteda.textstats, quanteda.textplots, RColorBrewer, slam, spacyr, stm, text2vec, topicmodels, jsonlite, quanteda, tibble, tidytext, xtable, ggplot2
Published: 2022-08-29
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], William Lowe ORCID iD [aut], Christian Müller [ctb], 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

Documentation:

Reference manual: quanteda.pdf
Vignettes: Quick Start Guide

Downloads:

Package source: quanteda_3.2.3.tar.gz
Windows binaries: r-devel: quanteda_3.2.3.zip, r-release: quanteda_3.2.3.zip, r-oldrel: quanteda_3.2.3.zip
macOS binaries: r-release (arm64): quanteda_3.2.3.tgz, r-oldrel (arm64): quanteda_3.2.3.tgz, r-release (x86_64): quanteda_3.2.3.tgz, r-oldrel (x86_64): quanteda_3.2.3.tgz
Old sources: quanteda archive

Reverse dependencies:

Reverse depends: seededlda
Reverse imports: corpustools, doc2concrete, docreview, eHDPrep, gofastr, keyATM, LDABiplots, LDAShiny, LexisNexisTools, LSX, newsmap, oolong, politeness, quanteda.textmodels, quanteda.textplots, quanteda.textstats, rainette, RNewsflow, sentometrics, sentopics, stm, sweater, textstem, tosca, Twitmo
Reverse linking to: quanteda.textmodels, quanteda.textstats, seededlda
Reverse suggests: explor, mlr3pipelines, quanteda, readtext, spacyr, stminsights, stopwords, text2map, tidylda, tidytext
Reverse enhances: corpus

Linking:

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