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Udacity

Introduction to Natural Language Processing

via Udacity

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Overview

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.

Syllabus

  • 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.

Taught by

Luis Serrano and Arpan Chakraborty

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