hi everybody,
I am using multinomial and LinearSVC classifier with default parameters to
classify twitter messages into two classes (positive or negative). I followed
the tutorial
on http://scikit-learn.github.com/scikit-learn-tutorial/working_with_text_data.html.
I tried "parameter tuning using grid search", but it gets too slow. Both
classifiers (multinomial and LinearSVC) give 75% accuracy. My problem is that I
want to improve the accuracy, for instance I want to make it more than 80%. Is
there anyway to do it through scikit.
thanks
Adnan
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