Gender Graph: Quantifying Gender Bias

Thanks for checking out the Gender Graph project:)<p>The binary model is made by word2vec:<p><a href="https:&#x2F;&#x2F;github.com&#x2F;dav&#x2F;word2vec" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;dav&#x2F;word2vec</a><p>Gender graph uses word embeddings trained by word2vec, the implementation is in the source repo under:<p>src&#x2F;gender_word_plotting.c

So the source repo has a binary file in it, which seems to have been made by vec2bin:<p><a href="https:&#x2F;&#x2F;github.com&#x2F;sneha-belkhale&#x2F;gender-word-plots" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;sneha-belkhale&#x2F;gender-word-plots</a><p>The python scripts are pretty simple. I&#x27;d like to see some methodology drill down &#x2F; peer-review to make sure these models are sane. I don&#x27;t really have the mathematics background myself.