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
Roxygen: list(markdown = TRUE)
Config/pak/sysreqs: libicu-dev libxml2-dev
Repository: https://pchest.r-universe.dev
Date/Publication: 2025-05-29 21:58:19 UTC
RemoteUrl: https://github.com/pchest/keyclust
RemoteRef: HEAD
RemoteSha: d7cbec4502789be66707b263bf66532076e3a558
NeedsCompilation: yes
Packaged: 2026-10-17 08:56:19 UTC; root
Author: Patrick Chester [aut, cre]
Maintainer: Patrick Chester <patrickjchester@gmail.com>