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.
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.
Jacob Perkins is the cofounder and CTO of Weotta, a local search
company. Weotta uses NLP and machine learning to create powerful
and easy-to-use natural language search for what to do and where to
go.
He is the author of Python Text Processing with NLTK 2.0 Cookbook,
Packt Publishing, and has contributed a chapter to the Bad Data
Handbook, O'Reilly Media. He writes about NLTK, Python, and other
technology topics at http://streamhacker.com.
To demonstrate the capabilities of NLTK and natural language
processing, he developed http://text-processing.com, which provides
simple demos and NLP APIs for commercial use. He has contributed to
various open source projects, including NLTK, and created
NLTK-Trainer to simplify the process of training NLTK models. For
more information, visit https://github.com/japerk/nltk-trainer.
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