DESCRIPTION

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