Hi,
in this case, I'm using a bayes (multinomial) estimator for binary
classification
The texts are rather short. In this case, the size of the dataset is
1000, but I have
the same kind of problem with datasets consisting of 20000 (or 80000) texts.
The Pipeline I'm using looks like this:
Pipeline([
('vect', CountVectorizer()),
('tfidf', TfidfTransformer()),
('clf', MultinomialNB()),
])
I'm trying the code in the gist, thanks!
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