Python 3 Text Processing with NLTK 3 Cookbook
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About This Book
- Break text down into its component parts for spelling correction, feature extraction, and phrase transformation
- Learn how to do custom sentiment analysis and named entity recognition
- Work through the natural language processing concepts with simple and easy-to-follow programming recipes
Who This Book Is For
This book is intended for Python programmers interested in learning how to do natural language processing. Maybe you’ve learned the limits of regular expressions the hard way, or you’ve realized that human language cannot be deterministically parsed like a computer language. Perhaps you have more text than you know what to do with, and need automated ways to analyze and structure that text. This Cookbook will show you how to train and use statistical language models to process text in ways that are practically impossible with standard programming tools. A basic knowledge of Python and the basic text processing concepts is expected. Some experience with regular expressions will also be helpful.