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spacyr: Wrapper to the 'spaCy' 'NLP' Library

An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <https://spacy.io>.

Version: 1.3.0
Depends: R (≥ 3.0.0), methods
Imports: data.table, reticulate (≥ 1.6)
Suggests: dplyr, knitr, quanteda, R.rsp, rmarkdown, spelling, testthat, tidytext, tibble
Published: 2023-12-08
DOI: 10.32614/CRAN.package.spacyr
Author: Kenneth Benoit ORCID iD [cre, aut, cph], Akitaka Matsuo ORCID iD [aut], Johannes Gruber ORCID iD [ctb], European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit at lse.ac.uk>
BugReports: https://github.com/quanteda/spacyr/issues
License: GPL-3
URL: https://spacyr.quanteda.io
NeedsCompilation: no
Language: en-GB
Materials: README NEWS
CRAN checks: spacyr results

Documentation:

Reference manual: spacyr.pdf
Vignettes: A Guide to Using spacyr

Downloads:

Package source: spacyr_1.3.0.tar.gz
Windows binaries: r-devel: spacyr_1.3.0.zip, r-release: spacyr_1.3.0.zip, r-oldrel: spacyr_1.3.0.zip
macOS binaries: r-release (arm64): spacyr_1.3.0.tgz, r-oldrel (arm64): spacyr_1.3.0.tgz, r-release (x86_64): spacyr_1.3.0.tgz, r-oldrel (x86_64): spacyr_1.3.0.tgz
Old sources: spacyr archive

Reverse dependencies:

Reverse imports: idiolect, poldis, politeness, ulex
Reverse suggests: DICEM, sentopics, textrecipes
Reverse enhances: NLP, quanteda, rsyntax

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.