Python Text Processing with Nltk 2.0 Cookbook: Lite

by Jacob Perkins

The learn-by-doing approach of this book will enable you to dive right into the heart of text processing from the very first page. Each recipe is carefully designed to fulfill your appetite for Natural Language Processing. Packed with numerous illustrative examples and code samples, it will make the task of using the NLTK for Natural Language Processing easy and straightforward. This book is for Python programmers who want to quickly get to grips with using the NLTK for Natural Language Processing. Familiarity with basic text processing concepts is required. Programmers experienced in the NLTK will also find it useful. Students of linguistics will find it invaluable.

92 pages, Kindle Edition

First published April 15, 2011

About the author

Jacob Perkins is an open source programmer, NLP hacker, and startup entrepreneur. He is currently the CTO & co-founder of Weotta, a semantic search engine for local events, activities, restaurants and more. His major open source contributions are to NLTK, a Python toolkit for natural language processing, and Seahorse, the Gnome encryption key application. He contributed a chapter to the Bad Data Handbook and runs a site for NLTK demos and APIs.