A fast and computationally efficient algorithm designed to enable researchers to efficiently and quickly extract semantically-related keywords using a fitted embedding model. For more details about the methods applied, see Chester (2025). <doi:10.17605/OSF.IO/5B7RQ>.
| Version: | 1.2.5 |
| Depends: | R (≥ 4.1.0) |
| Imports: | data.table (≥ 1.14.8), textstem (≥ 0.1.4) |
| LinkingTo: | Rcpp |
| Suggests: | knitr, R.utils, rmarkdown, spelling, testthat |
| Published: | 2025-06-03 |
| DOI: | 10.32614/CRAN.package.keyclust |
| Author: | Patrick Chester [aut, cre] |
| Maintainer: | Patrick Chester <patrickjchester at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | keyclust results |
| Reference manual: | keyclust.pdf |
| Package source: | keyclust_1.2.5.tar.gz |
| Windows binaries: | r-devel: keyclust_1.2.5.zip, r-release: keyclust_1.2.5.zip, r-oldrel: keyclust_1.2.5.zip |
| macOS binaries: | r-release (arm64): keyclust_1.2.5.tgz, r-oldrel (arm64): keyclust_1.2.5.tgz, r-release (x86_64): keyclust_1.2.5.tgz, r-oldrel (x86_64): keyclust_1.2.5.tgz |
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