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: |
4.0.2 |
Depends: |
R (≥ 3.5.0), methods |
Imports: |
fastmatch, jsonlite, lifecycle, magrittr, Matrix (≥ 1.5-0), Rcpp (≥ 0.12.12), SnowballC, stopwords, stringi, xml2, yaml |
LinkingTo: |
Rcpp, RcppArmadillo (≥ 0.7.600.1.0) |
Suggests: |
rmarkdown, spelling, testthat, formatR, tm (≥ 0.6), knitr, lsa, rlang, slam |
Enhances: |
dplyr, lda, purrr, spacyr, stm, text2vec, tibble, tidytext, tokenizers, topicmodels |
Published: |
2024-04-24 |
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 [issues need fixing before 2024-09-02] |