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This lecture introduces text classification and the Naive Bayes algorithm, a key method for text classification. Examples of text classification applications are discussed, such as identifying spam emails. Features that may indicate an email is spam include typos, unusual wording like "important notice", lack of personalization, undisclosed recipients, and suspicious URLs. These features can be combined to determine if an email is spam.
