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Linear Classifiers

  • Many common text classifiers are linear classifiers

    • Naïve Bayes

    • Perceptron

    • Rocchio

    • Logistic regression

    • Support vector machines (with linear kernel)

    • Linear regression with threshold

  • Despite this similarity, noticeable performance differences

    • For separable problems, there is an infinite number of separating hyperplanes. Which one do you choose?

    • What to do for non-separable problems?

    • Different training methods pick different hyperplanes

  • Classifiers more powerful than linear often don’t perform better on text problems. Why?


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