quanteda (1.1.1)

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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.

Maintainer: Kenneth Benoit
Author(s): Kenneth Benoit [aut, cre, cph], Kohei Watanabe [ctb], Paul Nulty [ctb], Adam Obeng [ctb], Haiyan Wang [ctb], Stefan Mller [ctb], Benjamin Lauderdale [ctb], Will Lowe [ctb]

License: GPL-3

Uses: data.table, extrafont, fastmatch, ggplot2, ggrepel, lubridate, magrittr, Matrix, network, Rcpp, RcppParallel, RSpectra, sna, SnowballC, spacyr, stopwords, stringi, XML, yaml, RColorBrewer, ca, proxy, tm, xtable, slam, lda, topicmodels, testthat, knitr, rmarkdown, DT, purrr
Reverse depends: word.alignment
Reverse suggests: corpus, corpustools, phrasemachine, readtext, stopwords, tidytext
Reverse enhances: corpus

Released 15 days ago.

30 previous versions



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Related packages: corpora, gsubfn, kernlab, languageR, lsa, tm, wordnet, zipfR, RWeka, RKEA, openNLP, skmeans, tau, tm.plugin.mail, lda, textcat, topicmodels, tm.plugin.dc, textir, movMF(20 best matches, based on common tags.)

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