cleanNLP (3.0.2)

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A Tidy Data Model for Natural Language Processing.

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' or 'CoreNLP' . Exposed annotation tasks include tokenization, part of speech tagging, named entity recognition, and dependency parsing.

Maintainer: Taylor B. Arnold
Author(s): Taylor B. Arnold [aut, cre]

License: LGPL-2

Uses: Matrix, reticulate, stringi, udpipe, testthat, knitr, rmarkdown, covr
Reverse enhances: NLP

Released 3 months ago.

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