About words embeddings, the №1 example is the famous King - Man + Women = Queen
This works nicely in the vector space but fails to make a visual impression when projected on 2 dimensions. Neither with ACP, nor MDS ot t-SNE in my experience :
https://bhugueney.gitlab.io/test-notebooks-org-publish/jupyt...
(← JupyterLite Notebook doing words embedding in the browser : don't try to run this on a smartphone !)
Does anyone know how to nicely visualize the poster child of words embeddings ?
(← JupyterLite Notebook doing words embedding in the browser : don't try to run this on a smartphone !)
Does anyone know how to nicely visualize the poster child of words embeddings ?