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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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