Package: quanteda.textstats 0.97.3

Kenneth Benoit

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.

Authors:Kenneth Benoit [cre, aut, cph], Kohei Watanabe [aut], Haiyan Wang [aut], Jiong Wei Lua [aut], Jouni Kuha [aut], European Research Council [fnd]

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quanteda.textstats/json (API)
NEWS

# Install 'quanteda.textstats' in R:
install.packages('quanteda.textstats', repos = c('https://quanteda.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/quanteda/quanteda.textstats/issues

Pkgdown site:https://quanteda.io

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

onetbbcpp

8.79 score 15 stars 9 packages 916 scripts 3.3k downloads 15 mentions 14 exports 20 dependencies

Last updated 5 months agofrom:04a2cdf251. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-win-x86_64OKFeb 01 2025
R-4.5-mac-x86_64OKFeb 01 2025
R-4.5-mac-aarch64OKFeb 01 2025
R-4.5-linux-x86_64OKFeb 01 2025
R-4.4-win-x86_64OKFeb 01 2025
R-4.4-mac-x86_64OKFeb 01 2025
R-4.4-mac-aarch64OKFeb 01 2025
R-4.3-win-x86_64OKFeb 01 2025
R-4.3-mac-x86_64OKFeb 01 2025
R-4.3-mac-aarch64OKJan 02 2025

Exports:as.matrixnscrabbleshowtextstat_collocationstextstat_disttextstat_entropytextstat_frequencytextstat_keynesstextstat_lexdivtextstat_proxytextstat_readabilitytextstat_selecttextstat_similtextstat_summary

Dependencies:clifastmatchglueISOcodesjsonlitelatticelifecyclemagrittrMatrixnsyllableproxyCquantedaRcppRcppArmadillorlangSnowballCstopwordsstringixml2yaml