sweater: Speedy Word Embedding Association Test and Extras Using R

Conduct various tests for evaluating implicit biases in word embeddings: Word Embedding Association Test (Caliskan et al., 2017), <doi:10.1126/science.aal4230>, Relative Norm Distance (Garg et al., 2018), <doi:10.1073/pnas.1720347115>, Mean Average Cosine Similarity (Mazini et al., 2019) <arXiv:1904.04047>, SemAxis (An et al., 2018) <arXiv:1806.05521>, Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) <doi:10.18653/v1/P19-1162>, and Embedding Coherence Test (Dev & Phillips, 2019) <arXiv:1901.07656>.

Version: 0.1.4
Depends: R (≥ 3.5)
Imports: Rcpp, purrr, quanteda, LiblineaR, proxy, data.table, cli
LinkingTo: Rcpp
Suggests: covr, testthat (≥ 3.0.0)
Published: 2022-01-20
Author: Chung-hong Chan ORCID iD [aut, cre]
Maintainer: Chung-hong Chan <chainsawtiney at gmail.com>
BugReports: https://github.com/chainsawriot/sweater/issues
License: GPL (≥ 3)
URL: https://github.com/chainsawriot/sweater
NeedsCompilation: yes
Materials: README
CRAN checks: sweater results

Documentation:

Reference manual: sweater.pdf

Downloads:

Package source: sweater_0.1.4.tar.gz
Windows binaries: r-devel: sweater_0.1.4.zip, r-devel-UCRT: sweater_0.1.4.zip, r-release: sweater_0.1.4.zip, r-oldrel: sweater_0.1.4.zip
macOS binaries: r-release (arm64): sweater_0.1.2.tgz, r-release (x86_64): sweater_0.1.4.tgz, r-oldrel: sweater_0.1.4.tgz
Old sources: sweater archive

Linking:

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