small_reddit

<p>This is a subset of the pretrained word2vec word vectors on Reddit provided by An et al. (2018). With this dataset, you can try with the "l" parameter of <code>semaxis()</code> up to 10.</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

small_reddit function

<p>An object of class <code>matrix</code> (inherits from <code>array</code>) with 106 rows and 300 columns.</p>

small_reddit: A subset of the pretrained word2vec word vectors on Reddit

Description

Usage

Arguments

Format

References