Package: keyclust
Type: Package
Title: A Model for Semi-Supervised Keyword Extraction from Word
        Embedding Models
Version: 1.2.5
Authors@R: person("Patrick", "Chester",
                  email = "patrickjchester@gmail.com",
                  role = c("aut", "cre"))
Description: 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>.
Encoding: UTF-8
License: GPL-3
Depends: R (>= 4.1.0)
Imports: data.table (>= 1.14.8), textstem (>= 0.1.4)
Suggests: knitr, R.utils, rmarkdown, spelling, testthat
LinkingTo: Rcpp
LazyData: TRUE
LazyDataCompression: xz
RoxygenNote: 7.3.2
Language: en-US
NeedsCompilation: yes
Packaged: 2025-05-30 01:35:12 UTC; patrick
Author: Patrick Chester [aut, cre]
Maintainer: Patrick Chester <patrickjchester@gmail.com>
Repository: CRAN
Date/Publication: 2025-06-03 09:30:09 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-06-10 05:41:45 UTC; windows
Archs: x64
