cleanNLP v3.0.3

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by Taylor Arnold View Source

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.

Functions in cleanNLP

Name	Description
cnlp_utils_tfidf	Construct the TF-IDF Matrix from Annotation or Data Frame
cnlp_init_spacy	Interface for initializing the spacy backend
cnlp_download_corenlp	Download model files needed for coreNLP
cnlp_init_udpipe	Interface for initializing the udpipe backend
cnlp_utils_pca	Compute Principal Components and store as a Data Frame
cnlp_init_corenlp	Interface for initializing the coreNLP backend
cnlp_download_spacy	Download model files needed for spacy
cnlp_init_stringi	Interface for initializing the standard R backend
cleanNLP-package	cleanNLP: A Tidy Data Model for Natural Language Processing
un	Universal Declaration of Human Rights
word_frequency	Most frequent English words
cnlp_annotate	Run the annotation pipeline on a set of documents
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Vignettes of cleanNLP

Name
img/fig1.png
img/fig2.png
img/fig3.png
img/fig4.png
state-of-union.Rmd
wikipedia.Rmd
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Details

Type	Package
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	7.1.1
NeedsCompilation	no
Packaged	2020-10-12 21:38:15 UTC; admin
Repository	CRAN
Date/Publication	2020-10-13 04:10:02 UTC

suggests	covr (>= 2.2.2) , knitr (>= 1.15) , rmarkdown (>= 1.4) , testthat (>= 1.0.1)
imports	Matrix (>= 1.2) , methods , reticulate , stats , stringi , udpipe
depends	R (>= 3.5.0)
Contributors