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This lecture introduces text classification and the Naive Bayes algorithm. Examples of text classification applications, such as identifying spam emails, are discussed. Features that may indicate an email is spam include misspellings, unusual language, lack of personalization, undisclosed recipients, and unusual URLs. These features can be combined to classify text.