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In this lecture, well introduce the topic of text classification and the Naive Bayes algorithm which is one of the most important ways of doing text classification. Lets begin by looking at some examples of text classification applications. Here Ive shown an email that I actually received the other day. How do I know that this email is spam? Take a look at the mail and think of some features you might automatically extract from this email that tells you that its spam. You might notice the word greats. A mis, a misspelling of great, so we have a typo here. Maybe you might notice important notice and maybe an exclamation point. Its pretty rare that universities put exclamation points in their subject headers. You might notice that theres no, Dan here, its not addressed to me in particular, and we have undisclosed recipients and theres no particular address. And the URLs a little funny here, thats not a Stanford URL. Maybe the word exciting. Each of these features can be combin
