>From a9c4d12e7a19b209dcb2969e8918a5ac5123eccf Mon Sep 17 00:00:00 2001 From: Lars-Dominik Braun Date: Fri, 31 Jan 2020 17:00:45 +0100 Subject: [v2 09/34] gnu: Add package r-quanteda * gnu/packages/cran.scm (r-quanteda): New variable. --- gnu/packages/cran.scm | 48 +++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 48 insertions(+) diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index 788601b894..3096739012 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -19465,3 +19465,51 @@ of vocabulary. Currently supported languages are Danish, Dutch, English, Finnish, French, German, Hungarian, Italian, Norwegian, Portuguese, Romanian, Russian, Spanish, Swedish and Turkish.") (license license:bsd-3))) + +(define-public r-quanteda + (package + (name "r-quanteda") + (version "1.5.2") + (source + (origin + (method url-fetch) + (uri (cran-uri "quanteda" version)) + (sha256 + (base32 + "0iv25rpx5cl9ansazjs0qb97pniajrxf4mqsnb5q98y2hil9ipd3")))) + (properties `((upstream-name . "quanteda"))) + (build-system r-build-system) + (propagated-inputs + `(("r-data-table" ,r-data-table) + ("r-extrafont" ,r-extrafont) + ("r-fastmatch" ,r-fastmatch) + ("r-ggplot2" ,r-ggplot2) + ("r-ggrepel" ,r-ggrepel) + ("r-lubridate" ,r-lubridate) + ("r-magrittr" ,r-magrittr) + ("r-matrix" ,r-matrix) + ("r-network" ,r-network) + ("r-proxyc" ,r-proxyc) + ("r-rcpp" ,r-rcpp) + ("r-rcpparmadillo" ,r-rcpparmadillo) + ("r-rcppparallel" ,r-rcppparallel) + ("r-rspectra" ,r-rspectra) + ("r-sna" ,r-sna) + ("r-snowballc" ,r-snowballc) + ("r-spacyr" ,r-spacyr) + ("r-stopwords" ,r-stopwords) + ("r-stringi" ,r-stringi) + ("r-xml2" ,r-xml2) + ("r-yaml" ,r-yaml))) + (home-page "https://quanteda.io") + (synopsis + "Quantitative analysis of textual data") + (description + "This package provides 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.") + (license license:gpl3))) -- 2.20.1