Package: cleanNLP
Type: Package
Title: A Tidy Data Model for Natural Language Processing
Version: 3.1.0
Author: Taylor B. Arnold [aut, cre]
Maintainer: Taylor B. Arnold <tarnold2@richmond.edu>
Description: Provides a set of fast tools for converting a textual
        corpus into a set of normalized tables. Users may make use of
        the 'udpipe' back end with no external dependencies, or a
        Python back ends with 'spaCy' <https://spacy.io>. Exposed
        annotation tasks include tokenization, part of speech tagging,
        named entity recognition, and dependency parsing.
Depends: R (>= 3.5.0)
Imports: Matrix (>= 1.2), udpipe, reticulate, stringi, stats, methods
Suggests: knitr (>= 1.15), rmarkdown (>= 1.4), testthat (>= 1.0.1),
        covr (>= 2.2.2)
SystemRequirements: Python (>= 3.7.0)
License: LGPL-2
URL: https://statsmaths.github.io/cleanNLP/
BugReports: https://github.com/statsmaths/cleanNLP/issues
LazyData: true
Encoding: UTF-8
VignetteBuilder: knitr
RoxygenNote: 7.3.1
Config/pak/sysreqs: libicu-dev libpng-dev python3
Repository: https://taylor-arnold.r-universe.dev
Date/Publication: 2025-06-08 14:20:56 UTC
RemoteUrl: https://github.com/taylor-arnold/rpkg
RemoteRef: HEAD
RemoteSha: fef7c1b376e204f78d8b21e59fa70171e30e7e48
RemoteSubdir: cleanNLP
NeedsCompilation: no
Packaged: 2026-07-04 08:23:39 UTC; root