Quantitative Analysis of Textual Data R package quanteda version 4.4 CRAN Task View: NaturalLanguageProcessing (https://CRAN.R-project.org/view=NaturalLanguageProcessing) 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. Software 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, torch Enhances: dplyr, lda, purrr, spacyr, stm, text2vec, tibble, tidytext, tokenizers, topicmodels Kenneth Benoit <kbenoit@lse.ac.uk> Comprehensive R Archive Network (CRAN) Kenneth Benoit [cre, aut, cph] (ORCID: <https://orcid.org/0000-0002-0797-564X>), Kohei Watanabe [aut] (ORCID: <https://orcid.org/0000-0001-6519-5265>), Haiyan Wang [aut] (ORCID: <https://orcid.org/0000-0003-4992-4311>), Paul Nulty [aut] (ORCID: <https://orcid.org/0000-0002-7214-4666>), Adam Obeng [aut] (ORCID: <https://orcid.org/0000-0002-2906-4775>), Stefan Müller [aut] (ORCID: <https://orcid.org/0000-0002-6315-4125>), Akitaka Matsuo [aut] (ORCID: <https://orcid.org/0000-0002-3323-6330>), William Lowe [aut] (ORCID: <https://orcid.org/0000-0002-1549-6163>), Christian Müller [ctb], Olivier Delmarcelle [ctb] (ORCID: <https://orcid.org/0000-0003-4347-070X>), European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS) GPL-3 2026-04-06 application/tgz https://CRAN.R-project.org/package=quanteda doi:10.32614/CRAN.package.quanteda en-GB