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Feature Selection: Why?
Text collections have a large number of features
10,000 – 1,000,000 unique words … and more
May make using a particular classifier feasible
Some classifiers can’t deal with 1,000,000 features
Reduces training time
Training time for some methods is quadratic or worse in the number of features
Makes runtime models smaller and faster
Can improve generalization (performance)
Eliminates noise features
Avoids overfitting
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