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keyclust  

A Model for Semi-Supervised Keyword Extraction from Word Embedding Models
View on CRAN: Click here


Download and install keyclust package within the R console
Install from CRAN:
install.packages("keyclust")

Install from Github:
library("remotes")
install_github("cran/keyclust")

Install by package version:
library("remotes")
install_version("keyclust", "1.2.5")



Attach the package and use:
library("keyclust")
Maintained by
Patrick Chester
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-03
Latest Update: 2025-06-03
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>.
How to cite:
Patrick Chester (2025). keyclust: A Model for Semi-Supervised Keyword Extraction from Word Embedding Models. R package version 1.2.5, https://cran.r-project.org/web/packages/keyclust. Accessed 12 Jun. 2025.
Previous versions and publish date:
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Complete documentation for keyclust
Functions, R codes and Examples using the keyclust R package
Full keyclust package functions and examples
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