Lecture18-textclassification

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1 CS 479, Section 1: Natural Language Processing Lecture #18: Text Classification; Naïve Bayes Thanks to Dan Klein of UC Berkeley for many of the materials used in this lecture. This work is licensed under a Creative Commons Attribution-Share Alike 3.0 Unported License . Announcements Project #1, Part 2 Due: today Questions? Reading Report #7 Nigam, Lafferty, McCallum on MaxEnt for text classification M&S 16.2 Due: Wednesday Project #2, Part 1 No pair programming; you may collaborate (must acknowledge); do your own work Help session: Tuesday (tomorrow), 1066 TMCB, 4pm Early: next Monday Due: next Wednesday Mid term Exam Next week Objectives Introduce the problem of text classification Introduce the Naïve Bayes model Revisit log domain arithmetic Overview So far: n gram language models P(w) Model fluency for various noisy channel processes (MT, ASR, etc.) Don’t typically represent any variables for language structure or meaning What about syntax, semantics, topic, etc.?
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This note was uploaded on 10/18/2011 for the course CS 479 taught by Professor Ericringger during the Fall '11 term at BYU.

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Lecture18-textclassification - This work is licensed under...

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