Thanks to all of you who’ve expressed interest in and support for our recent paper Reading Tea Leaves: How Humans Interpret Topic Models, which was co-authored with Jordan Boyd-Graber, Sean Gerrish, Chong Wang, and David Blei. Many people (myself included) either implicitly or explicitly assume that topic models can find meaningful latent spaces with [...]
