slowraker: A Slow Version of the Rapid Automatic Keyword Extraction (RAKE) Algorithm

A mostly pure-R implementation of the RAKE algorithm (Rose, S., Engel, D., Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.

Version: 0.1.0
Depends: R (≥ 3.1)
Imports: SnowballC, NLP, openNLP, utils
Suggests: testthat, knitr, rmarkdown
Published: 2017-09-08
Author: Christopher Baker [aut, cre]
Maintainer: Christopher Baker <chriscrewbaker at gmail.com>
BugReports: https://github.com/crew102/slowraker/issues
License: MIT + file LICENSE
URL: https://crew102.github.io/slowraker/index.html
NeedsCompilation: no
SystemRequirements: Java (>= 5.0)
Materials: README
CRAN checks: slowraker results

Downloads:

Reference manual: slowraker.pdf
Vignettes: FAQs
Getting started
Package source: slowraker_0.1.0.tar.gz
Windows binaries: r-devel: slowraker_0.1.0.zip, r-release: slowraker_0.1.0.zip, r-oldrel: slowraker_0.1.0.zip
OS X El Capitan binaries: r-release: slowraker_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: slowraker_0.1.0.tgz

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