Python - Classifying Text Part 1

Lecturer: Dr. Erin M. Buchanan Summer 2019 This one was posted way before the others - part two is here: In this video, you will learn some basic terminology for classification - how to extract features, train, and test your classifiers. An example of a Naive Bayes classifier is provided, along with descriptions of decision trees and maximum entropy. The second video covers how to build your own taggers! This course is taught in Python with the nltk package, and this video covers chapter 6: Learn more about the whole course at: