Lesson 1
Intro to NLP
Arpan will give you an overview of how to build a Natural Language Processing pipeline.
Introduction to Natural Language Processing
Course
This section provides an overview of the program and introduces the fundamentals of Natural Language Processing through symbolic manipulation, including text cleaning, normalization, and tokenization. You'll then build a part of speech tagger using hidden Markov models.
This section provides an overview of the program and introduces the fundamentals of Natural Language Processing through symbolic manipulation, including text cleaning, normalization, and tokenization. You'll then build a part of speech tagger using hidden Markov models.
3 weeks
Real-world Projects
Completion Certificate
Last Updated July 19, 2023
No experience required
Course Lessons
Lesson 2
Text Processing
Learn to prepare text obtained from different sources for further processing, by cleaning, normalizing and splitting it into individual words or tokens.
Lesson 3
Spam Classifier with Naive Bayes
In this section, you'll learn how to build a spam email classifier using the naive Bayes algorithm.
Lesson 4
Part of Speech Tagging with HMMs
Learn Hidden Markov Models, and apply them to part-of-speech tagging, a very popular problem in Natural Language Processing.
Lesson 5 • Project
Project: Part of Speech Tagging
In this project, you'll build a hidden Markov model for part of speech tagging with a universal tagset.
Lesson 6
(Optional) IBM Watson Bookworm Lab
Learn how to build a simple question-answering agent using IBM Watson.
Taught By The Best
Luis Serrano
Instructor
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Arpan Chakraborty
Instructor
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
Taught By The Best
Luis Serrano
Instructor
Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.
Arpan Chakraborty
Instructor
Arpan is a computer scientist with a PhD from North Carolina State University. He teaches at Georgia Tech (within the Masters in Computer Science program), and is a coauthor of the book Practical Graph Mining with R.
Get Started Today
Introduction to Natural Language Processing