Preface

Natural Language Processing is used everywhere—in search engines, spell checkers, mobile phones, computer games, and even in your washing machine. Python’s Natural Language Toolkit (NLTK) suite of libraries has rapidly emerged as one of the most efficient tools for Natural Language Processing. You want to employ nothing less than the best techniques in Natural Language Processing—and this book is your answeremphasis>.

Python Text Processing with NLTK 2.0 Cookbook is your handy and illustrative guide, which will walk you through all the Natural Language Processing techniques in a step-by-step manner. It will demystify the advanced features of text analysis and text mining using the comprehensive NLTK suite.

This book cuts short the preamble and lets you dive right into the science of text processing with a practical hands-on approach.

Get started off with learning tokenization of text. Receive an overview of WordNet and how to use it. Learn the basics as well as advanced features of stemming and lemmatization. Discover various ways to replace words with simpler and more common (read: more searched) variants. Dig into feature extraction and text classification.

This book will teach you all that and beyond, in a hands-on learn-by-doing manner. Make yourself an expert in using the NLTK for Natural Language Processing with this handy companion.