CRAN/E | cleanNLP

cleanNLP

A Tidy Data Model for Natural Language Processing

Installation

About

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.

Citation cleanNLP citation info
statsmaths.github.io/cleanNLP/
System requirements Python (>= 3.7.0)
Bug report File report

Key Metrics

Version 3.0.7
R ≥ 3.5.0
Published 2023-11-16 169 days ago
Needs compilation? no
License LGPL-2
CRAN checks cleanNLP results

Downloads

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Maintainer

Maintainer

Taylor B. Arnold

tarnold2@richmond.edu

Authors

Taylor B. Arnold

aut / cre

Material

NEWS
Reference manual
Package source

Vignettes

Exploring the State of the Union Addresses: A Case Study with cleanNLP
Creating Text Visualizations with Wikipedia Data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

cleanNLP archive

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

Reverse Enhances

NLP