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skrub is a wonderful new project related to scikit-learn. You can see Gaël Varoquaux present it here. They have a transformer called GapEncoder: it's a way to embed fuzzy strings. This could be really powerful online, say for classifying Tweets or Twitch messages, where typos are aplenty.
We already have a way to do online TD-IDF/count vectorization. But we don't have Gamma-Poisson matrix factorization. It is doable online though. Once we have it, we could assemble the two into a nice GapEncoder class. See paper here.
This is related to #1412. Indeed, maybe this works well without Gamma-Poisson matrix factorization. For instance, we could use decomposition.LDA, which we already have.