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>.

Getting started

Package details

AuthorChung-hong Chan [aut, cre] (<https://orcid.org/0000-0002-6232-7530>)
MaintainerChung-hong Chan <chainsawtiney@gmail.com>
LicenseGPL (>= 3)
Version0.1.8
URL https://github.com/gesistsa/sweater
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("sweater")

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sweater documentation built on Nov. 7, 2023, 5:08 p.m.