23  Methods for Text Classification

23.1 Objectives

  • Class prediction versus scaling, and the notion of predicting classes
  • Naive Bayes
  • SVMs
  • More advanced methods
  • Feature selection for improving prediction
  • Assessing performance

23.2 Methods

Applicable methods for the objectives listed above.

23.3 Examples

Examples here.

23.4 Issues

Why kNN is poor choice.

Which classifier?

ngrams or unigrams?

23.5 Further Reading

Additional resources from libraries or the web.

23.6 Exercises

Add some here.