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About

An R package designed to enable researchers to quickly and efficiently generate customized sets of keywords.

For more information about the methods underlying this package see Chester (2025).

Installation

Install the package from CRAN:

install.packages("keyclust")

Or install the development version from GitHub:

install.packages("devtools") # If not already installed

devtools::install_github("pchest/keyclust")

Usage

Creating a cosimilarity matrix from a pre-fitted word embeddings model

library(keyclust)

simmat <- wordemb_FasttextEng_sample |>
    process_embed(words = "words") |>
    similarity_matrix(words = "words")
seed_months <- c("october", "november")

out_months <- keyclust(simmat, seed_words = seed_months, max_n = 10)
## Initializing with october, november 
## Added september 
## Added august 
## Added february 
## Added january 
## Added december 
## Added march 
## Added april 
## Added june
out_months |>
  terms() |>
  head(n = 10)
##         Term Group_similarity
## 1    october        0.9764174
## 2   february        0.9727986
## 3  september        0.9715995
## 4    january        0.9695413
## 5   november        0.9693111
## 6     august        0.9677877
## 7      march        0.9673854
## 8      april        0.9653796
## 9       june        0.9625061
## 10  december        0.9609312

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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