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CRAN: Package quanteda

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: 4.3.1 Depends: R (≥ 4.1.0), methods Imports: fastmatch, jsonlite, lifecycle, magrittr, Matrix (≥ 1.5-0), Rcpp (≥ 0.12.12), SnowballC, stopwords, stringi, xml2, yaml LinkingTo: Rcpp Suggests: rmarkdown, spelling, testthat, formatR, tm (≥ 0.6), knitr, lsa, rlang, slam Enhances: dplyr, lda, purrr, spacyr, stm, text2vec, tibble, tidytext, tokenizers, topicmodels Published: 2025-07-10 DOI: 10.32614/CRAN.package.quanteda Author: Kenneth Benoit [cre, aut, cph], Kohei Watanabe [aut], Haiyan Wang [aut], Paul Nulty [aut], Adam Obeng [aut], Stefan Müller [aut], Akitaka Matsuo [aut], William Lowe [aut], Christian Müller [ctb], Olivier Delmarcelle [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 Language: en-GB Citation: quanteda citation info Materials: README NEWS In views: NaturalLanguageProcessing CRAN checks: quanteda results Documentation: Downloads: Reverse dependencies: Reverse depends: idiolect, seededlda Reverse imports: AutoPlots, conText, corpustools, DICEM, doc2concrete, eHDPrep, grafzahl, highlightr, keyATM, LexisNexisTools, LSX, newsmap, oolong, orderanalyzer, poldis, politeness, pseudobibeR, quanteda.textmodels, quanteda.textplots, quanteda.textstats, rainette, RNewsflow, sentometrics, sentopics, stm, stylest2, sweater, textstem, tosca, ulex, wordmap, wordvector Reverse linking to: quanteda.textmodels, quanteda.textstats, seededlda, wordvector Reverse suggests: explor, mlr3pipelines, readtext, spacyr, stminsights, stopwords, text2map, tidylda, tidytext Linking:

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