Hi everyone,
I am new to scikit. I only feel sad for not knowing it earlier - it's
awesome.
I am trying to do the following. Extract topics from a bunch of tweets. I
tried NMF (from the sample here -
http://scikit-learn.org/stable/auto_examples/applications/topics_extraction_with_nmf.html)
but I was not able to figure out how to list documents corresponding to the
extracted topics. Could someone please point me to an example that lists
the documents under each topic?
When I got stuck with NMF, I thought of using kmeans (min batch). I am just
wondering though if clustering is a reasonable approach for "topics".
I'd really appreciate any advice here.
Thanks,
Kashyap
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