Key Features
Book Description
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.What you will learn
- Learn Text categorization and Topic identification Use Stemming and Lemmatization to go beyond the usual spell checker Replace negations with antonyms in your text Tokenize words into lists of sentences and words, and gain an insight into WordNet Train and manipulate different types of classifiers Automatically correct spelling with Enchant Translate text using Babelfish
Who this book is for
Table of Contents
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