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This lecture introduces text classification and the Naive Bayes algorithm. Examples of text classification applications are discussed using spam email detection as an example. Features such as misspellings, unusual phrases, lack of personalization, undisclosed recipients, and suspicious URLs are highlighted for identifying spam emails.