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首页Python 3 Text Processing with NLTK 3 Cookbook(PACKT,2014)
This book will show you the essential techniques of text and language processing. Starting with tokenization, stemming, and the WordNet dictionary, you'll progress to part-of-speech tagging, phrase chunking, and named entity recognition. You'll learn how various text corpora are organized, as well as how to create your own custom corpus. Then, you'll move onto text classification with a focus on sentiment analysis. And because NLP can be computationally expensive on large bodies of text, you'll try a few methods for distributed text processing. Finally, you'll be introduced to a number of other small but complementary Python libraries for text analysis, cleaning, and parsing.
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Python 3 Text Processing with
NLTK 3 Cookbook
Copyright © 2014 Packt Publishing
All rights reserved. No part of this book may be reproduced, stored in a retrieval system,
or transmitted in any form or by any means, without the prior written permission of the
publisher, except in the case of brief quotations embedded in critical articles or reviews.
Every effort has been made in the preparation of this book to ensure the accuracy of the
information presented. However, the information contained in this book is sold without
warranty, either express or implied. Neither the author, nor Packt Publishing, and its dealers
and distributors will be held liable for any damages caused or alleged to be caused directly
or indirectly by this book.
Packt Publishing has endeavored to provide trademark information about all of the
companies and products mentioned in this book by the appropriate use of capitals.
However, Packt Publishing cannot guarantee the accuracy of this information.
First published: November 2010
Second edition: August 2014
Production reference: 1200814
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham B3 2PB, UK.
ISBN 978-1-78216-785-3
www.packtpub.com
Cover image by Faiz Fattohi (faizfattohi@gmail.com)
www.it-ebooks.info
Credits
Author
Jacob Perkins
Reviewers
Patrick Chan
Mohit Goenka
Lihang Li
Maurice HT Ling
Jing (Dave) Tian
Commissioning Editor
Kevin Colaco
Acquisition Editor
Kevin Colaco
Content Development Editor
Amey Varangaonkar
Technical Editor
Humera Shaikh
Copy Editors
Deepa Nambiar
Laxmi Subramanian
Project Coordinator
Leena Purkait
Proofreaders
Simran Bhogal
Paul Hindle
Indexers
Hemangini Bari
Mariammal Chettiyar
Tejal Soni
Priya Subramani
Graphics
Ronak Dhruv
Disha Haria
Yuvraj Mannari
Abhinash Sahu
Production Coordinators
Pooja Chiplunkar
Conidon Miranda
Nilesh R. Mohite
Cover Work
Pooja Chiplunkar
www.it-ebooks.info
About the Author
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.
I would like to thank my friends and family for their part in making this book
possible. And thanks to the editors and reviewers at Packt Publishing for their
helpful feedback and suggestions. Finally, this book wouldn't be possible
without the fantastic NLTK project and team: http://www.nltk.org/.
www.it-ebooks.info
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