Introduction to Natural Language Processing

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.

• Intro to NLP
• Arpan will give you an overview of how to build a Natural Language Processing pipeline.
• Text Processing
• Learn to prepare text obtained from different sources for further processing, by cleaning, normalizing and splitting it into individual words or tokens.
• Spam Classifier with Naive Bayes
• In this section, you'll learn how to build a spam email classifier using the naive Bayes algorithm.
• 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.
• Project: Part of Speech Tagging
• In this project, you'll build a hidden Markov model for part of speech tagging with a universal tagset.
• (Optional) IBM Watson Bookworm Lab
• Learn how to build a simple question-answering agent using IBM Watson.