Natural Language Processing with Python
This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication.
This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
What people are saying - Write a review
If you are looking for a book about doing Python programming with NLTK (the natural language toolkit http://en.wikipedia.org/wiki/Nltk), then this is the book for you! Sure, you could code these algorithms by yourself, but that would be expending energy on the methods and not on obtaining good results. That's where the toolkit comes in.
This book attempts to show you how to install NLTK and Python, but I found that I needed to check the web for more guidance, since there are too many versions of Python and also I'm working from behind a proxy, adding to my difficulties.
Sure, it might be a little more difficult to install Python and NLTK than the book suggests. But once you get your NLTK set up, this book is very clear and lucid. It leads you, step by step, into the different NLP (natural language processing) operations that can be performed with NLTK. I definitely recommend this book to others interested in NLP.
Chapter 2 Accessing Text Corpora and Lexical Resources
Chapter 3 Processing Raw Text
Chapter 4 Writing Structured Programs
Chapter 5 Categorizing and Tagging Words
Chapter 6 Learning to Classify Text
Chapter 7 Extracting Information from Text
Chapter 8 Analyzing Sentence Structure