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DESCRIPTION
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DESCRIPTION
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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