I had a ton of fun working on this small project, involving nlp, the most classic clustering algorithm of all (k-means), and a touch of deep learning.
It all started with the thought: what if... we could do X? How would we do it? What it would take to do it? "Doing it" involved a lot of research and learning on my part, on NLP but also on how to ship such big models to production and make them work reasonably fast.
Some of that experience I have already written about, but this new article just published today explains the more high-level view of what was done and how.
https://kahoot.com/tech-blog/text-clustering-using-deep-learning-language-models/
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