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I was wondering if it would make sense to add the NB transformation part of text2vec.
It would be a kind of reweighting weights depending of the data and well know to be a strong base line when combined to SVM (may be other algo too).
I just saw this work about NBSVM https://www.kaggle.com/jhoward/nb-svm-baseline-and-basic-eda-0-06-lb/
I was wondering if it would make sense to add the NB transformation part of text2vec.
It would be a kind of reweighting weights depending of the data and well know to be a strong base line when combined to SVM (may be other algo too).
Original paper is there:
https://nlp.stanford.edu/pubs/sidaw12_simple_sentiment.pdf
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