Package: keyclust 1.2.5

keyclust: A Model for Semi-Supervised Keyword Extraction from Word Embedding Models

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>.

Authors:Patrick Chester [aut, cre]

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keyclust_1.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
keyclust/json (API)

# Install 'keyclust' in R:

install.packages('keyclust', repos = c('https://pchest.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/pchest/keyclust/issues

Uses libs:

c++– GNU Standard C++ Library v3

Datasets:

wordemb_FasttextEng_sample - Sample from the pre-trained English fastText model

On CRAN:

cpp

3.00 score 2 stars 2 scripts 251 downloads 4 exports 50 dependencies

Last updated from:d7cbec4502. Checks:15 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	152
linux-devel-x86_64	OK	149
source / vignettes	OK	200
linux-release-arm64	OK	152
linux-release-x86_64	OK	149
macos-release-arm64	OK	203
macos-release-x86_64	OK	270
macos-oldrel-arm64	OK	184
macos-oldrel-x86_64	OK	341
windows-devel-arm64	OK	343
windows-devel-x86_64	OK	157
windows-release-arm64	OK	336
windows-release-x86_64	OK	101
windows-oldrel-x86_64	OK	103
wasm-release	OK	112

Dependencies:cli cpp11 data.table digest dplyr dtt english fastmatch generics glue hunspell ISOcodes jsonlite koRpus koRpus.lang.en lattice lexicon lifecycle magrittr Matrix mgsub NLP pillar pkgconfig purrr qdapRegex quanteda R6 Rcpp rlang slam SnowballC stopwords stringi stringr sylly sylly.en syuzhet textclean textshape textstem tibble tidyr tidyselect utf8 vctrs withr xml2 yaml zoo

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Returns cosine cosimilarity matrix for the terms generated by keyclust	cosimilarity_matrix
Algorithm designed to efficiently extract keywords from a cosine similarity matrix	keyclust
Prints terms generated by keyclust	print.keyclust
A tool designed to reduce redundant terms in a fitted embedding model	process_embed
Algorithm designed to create a cosine similarity matrix from a fitted word embedding model	similarity_matrix
Returns terms generated by keyclust	terms.keyclust
Sample from the pre-trained English fastText model	wordemb_FasttextEng_sample