This page introduces you to text classification and describes two classic machine learning approaches to the task, Naive Bayes and Logistic Regression (aka MaxEnt classifiers). It consists of lecture slides, required readings from Jurafsky and Martin, and a quiz that tests your understanding of the material presented here.
As always, if there is anything you don't understand, then please ask questions in the lecture or on piazza.
Lecture slides & reading
Required reading: 3rd Online Edition of Jurafsky and Martin, chapters 4 (4.1- 4.6) https://web.stanford.edu/~jurafsky/slp3/
Quiz 9: Text classifiers
These questions are designed to test your understanding of the above course content; doing this quiz does not contribute to your overall grade. Some questions require a text answer. You can ask for formative feedback on these from your tutor or on piazza. Other questions are multiple choice or they require a numeric answer: you will get immediate feedback for these. Please don't attempt this quiz until you have acquainted yourself with this lecture and the required reading.
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