Package: cleanNLP
Type: Package
Title: A Tidy Data Model for Natural Language Processing
Version: 3.0.7
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 two Python back ends with 'spaCy'
  <https://spacy.io> or 'CoreNLP' <https://stanfordnlp.github.io/CoreNLP/>.
  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
VignetteBuilder: knitr
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2023-11-16 16:31:08 UTC; admin
Repository: CRAN
Date/Publication: 2023-11-16 17:03:58 UTC
Built: R 4.2.3; ; 2024-04-24 01:46:26 UTC; windows
