I followed gensim's Core Tutorial and build an LSA Classification, topic modeling and Document Similarity model for newsgroups dataset.
My code is available here.
I need help with below 3 concepts.
- Topic Classification: I get only 50% accuracy with KNN algo.
- Topic Modeling: The words highlighted for each of the 20 topics doesnt stand out.
- Document Similarity: I wrote a small test code to find that document similarity also doesnt produce great results.
I am going to follow up it with other best models like LDA. However I am eager to know if I can improve my current LSA model. Any help here, would be really appreciable. Thanks!!