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), , Relative Norm Distance (Garg et al., 2018), , Mean Average Cosine Similarity (Mazini et al., 2019) , SemAxis (An et al., 2018) , and Relative Negative Sentiment Bias (Sweeney & Najafian, 2019) .


Reference manual

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0.1.2 by Chung-hong Chan, 3 days ago


Report a bug at https://github.com/chainsawriot/sweater/issues

Browse source code at https://github.com/cran/sweater

Authors: Chung-hong Chan [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports Rcpp, purrr, quanteda, LiblineaR, proxy, data.table

Suggests covr, testthat

Linking to Rcpp

See at CRAN