googlenews

<p>This is a subset of the original pretrained word2vec word vectors trained on Google News. The same word vectors were used in Garg et al. (2018) to study biases.</p>

datasets

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>.

Chung-hong Chan

sweater

Speedy Word Embedding Association Test and Extras Using R

googlenews function

<p>An object of class <code>matrix</code> (inherits from <code>array</code>) with 116 rows and 300 columns.</p>

googlenews: A subset of the pretrained word2vec word vectors

Description

Usage

Arguments

Format

References