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 Documentation: Reference manual: keyclust.pdf Downloads: 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 Linking:Please use the canonical form https://CRAN.R-project.org/package=keyclust to link to this page.
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