Python 3 Text Processing with NLTK 3 Cookbook (Repost)
Python 3 Text Processing with NLTK 3 Cookbook By Jacob Perkins
2014 | 304 Pages | ISBN: 1782167854 | PDF | 2 MB
2014 | 304 Pages | ISBN: 1782167854 | PDF | 2 MB
Over 80 practical recipes on natural language processing techniques using Python's NLTK 3.0 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.