Package: sweater 0.1.8

Chung-hong Chan

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>.

Authors:Chung-hong Chan [aut, cre]

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Peer review:

Bug tracker:https://github.com/gesistsa/sweater/issues

On CRAN:

bias-detectiontextanalysiswordembedding

19 exports 27 stars 2.48 score 23 dependencies 13 scripts 499 downloads

Last updated 3 months agofrom:219c9d5dcb. Checks:OK: 9. Indexed: yes.

Exports:calculate_esectect_esmacmac_esnasplot_biasplot_ectqueryread_word2vecrndrnd_esrnsbrnsb_essemaxisweatweat_esweat_exactweat_resampling

Dependencies:clicombinatdata.tablefastmatchglueISOcodesjsonlitelatticeLiblineaRlifecyclemagrittrMatrixproxypurrrquantedaRcpprlangSnowballCstopwordsstringivctrsxml2yaml