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A 'Java' 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: | 0.1.3 |
| Depends: | R (≥ 3.1) |
| Imports: | rJava, openNLPdata, slowraker, utils |
| Suggests: | knitr, rmarkdown, testthat |
| Published: | 2021-06-02 |
| DOI: | 10.32614/CRAN.package.rapidraker |
| Author: | Christopher Baker [aut, cre] |
| Maintainer: | Christopher Baker <chriscrewbaker at gmail.com> |
| BugReports: | https://github.com/crew102/rapidraker/issues |
| License: | MIT + file LICENSE |
| URL: | https://crew102.github.io/slowraker/articles/rapidraker.html |
| NeedsCompilation: | no |
| SystemRequirements: | Java (>= 8) |
| Materials: | README |
| CRAN checks: | rapidraker results |
| Reference manual: | rapidraker.pdf |
| Package source: | rapidraker_0.1.3.tar.gz |
| Windows binaries: | r-devel: rapidraker_0.1.3.zip, r-release: rapidraker_0.1.3.zip, r-oldrel: rapidraker_0.1.3.zip |
| macOS binaries: | r-release (arm64): rapidraker_0.1.3.tgz, r-oldrel (arm64): rapidraker_0.1.3.tgz, r-release (x86_64): rapidraker_0.1.3.tgz, r-oldrel (x86_64): rapidraker_0.1.3.tgz |
| Old sources: | rapidraker archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.