why is training an LDA so slow
wow crazy I would expect that to go quickly but honestly fuck if I know why would you use this instead of NN or a tree ensemble?
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It's what a paper said seemed to work best for what I'm doing, it's possible they're behind, the paper isn't super recent but I also don't have time to add stuff to this. I just managed to do a quick run by limiting the dataset.
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I think ngrams on my corpus w/o limited to the most common ones exploded
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ahhhh, I saw something about LDA having some dimension reduction baked in, I can see that I've barely dipped my toes in NLP unfortunately
End of conversation
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