statsmaths/cleanNLP: 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' <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.
Getting started
Browse package contents
Package details |
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| Author | Taylor B. Arnold [aut, cre] |
| Maintainer | Taylor B. Arnold <tarnold2@richmond.edu> |
| License | LGPL-2 |
| Version | 3.0.7 |
| URL | https://statsmaths.github.io/cleanNLP/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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