quanteda.textstats: Textual Statistics for the Quantitative Analysis of Textual Data

Textual statistics functions formerly in the 'quanteda' package. Textual statistics for characterizing and comparing textual data. Includes functions for measuring term and document frequency, the co-occurrence of words, similarity and distance between features and documents, feature entropy, keyword occurrence, readability, and lexical diversity. These functions extend the 'quanteda' package and are specially designed for sparse textual data.

Version: 0.97.2
Depends: R (≥ 3.5.0)
Imports: quanteda (≥ 4.0.0), Matrix (≥ 1.5-0), methods, nsyllable, proxyC (≥ 0.1.4), Rcpp (≥ 0.12.12), stringi
LinkingTo: Rcpp, RcppArmadillo (≥ 0.7.600.1.0), quanteda
Suggests: entropy, ExPosition, proxy, rmarkdown, spelling, svs, testthat, knitr, covr
Published: 2024-09-03
DOI: 10.32614/CRAN.package.quanteda.textstats
Author: Kenneth Benoit ORCID iD [cre, aut, cph], Kohei Watanabe ORCID iD [aut], Haiyan Wang ORCID iD [aut], Jiong Wei Lua [aut], Jouni Kuha ORCID iD [aut], European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit at lse.ac.uk>
BugReports: https://github.com/quanteda/quanteda.textstats/issues
License: GPL-3
URL: https://quanteda.io
NeedsCompilation: yes
Language: en-GB
Citation: quanteda.textstats citation info
Materials: README NEWS
CRAN checks: quanteda.textstats results

Documentation:

Reference manual: quanteda.textstats.pdf

Downloads:

Package source: quanteda.textstats_0.97.2.tar.gz
Windows binaries: r-devel: quanteda.textstats_0.97.2.zip, r-release: quanteda.textstats_0.97.2.zip, r-oldrel: quanteda.textstats_0.97.2.zip
macOS binaries: r-release (arm64): quanteda.textstats_0.97.2.tgz, r-oldrel (arm64): quanteda.textstats_0.97.2.tgz, r-release (x86_64): quanteda.textstats_0.97.2.tgz, r-oldrel (x86_64): quanteda.textstats_0.97.2.tgz
Old sources: quanteda.textstats archive

Reverse dependencies:

Reverse imports: AutoPlots, highlightr, idiolect, LexisNexisTools, LSX, newsmap, rainette, Twitmo
Reverse suggests: poldis, quanteda.textplots

Linking:

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