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: | 0.1.1 |
| Depends: | R (≥ 3.1) |
| Imports: | SnowballC, NLP, openNLP, utils |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2017-11-02 |
| DOI: | 10.32614/CRAN.package.slowraker |
| 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 |
| Reference manual: | slowraker.pdf |
| Vignettes: |
FAQs Getting started |
| Package source: | slowraker_0.1.1.tar.gz |
| Windows binaries: | r-devel: slowraker_0.1.1.zip, r-release: slowraker_0.1.1.zip, r-oldrel: slowraker_0.1.1.zip |
| macOS binaries: | r-release (arm64): slowraker_0.1.1.tgz, r-oldrel (arm64): slowraker_0.1.1.tgz, r-release (x86_64): slowraker_0.1.1.tgz, r-oldrel (x86_64): slowraker_0.1.1.tgz |
| Old sources: | slowraker archive |
| Reverse imports: | rapidraker |
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