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Mastering Social Media Mining
with Python
Acquire and analyze data from all corners of the social
web with Python
Marco Bonzanini
BIRMINGHAM - MUMBAI
Mastering Social Media Mining with Python
Copyright © 2016 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: July 2016
Production reference: 1260716
Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.
ISBN 978-1-78355-201-6
www.packtpub.com
Credits
Author
Marco Bonzanini
Copy Editor
Vibha Shukla
Reviewer
Weiai Wayne Xu
Project Coordinator
Nidhi Joshi
Commissioning Editor
Pramila Balan
Proofreader
Safis Editing
Acquisition Editor
Sonali Vernekar
Indexer
Mariammal Chettiyar
Content Development Editor
Siddhesh Salvi
Graphics
Jason Monteiro
Disha Haria
Technical Editor
Pranil Pathare
Production Coordinator
Arvindkumar Gupta
About the Author
Marco Bonzanini is a data scientist based in London, United Kingdom. He holds a PhD in
information retrieval from Queen Mary University of London. He specializes in text
analytics and search applications, and over the years, he has enjoyed working on a variety
of information management and data science problems.
He maintains a personal blog at h t t p : / / m a r c o b o n z a n i n i . c o m, where he discusses
different technical topics, mainly around Python, text analytics, and data science.
When not working on Python projects, he likes to engage with the community at PyData
conferences and meet-ups, and he also enjoys brewing homemade beer.
This book is the outcome of a long journey that goes beyond the mere content preparation.
Many people have contributed in different ways to shape the final result. Firstly, I would
like to thank the team at Packt Publishing, particularly Sonali Vernekar and Siddhesh
Salvi, for giving me the opportunity to work on this book and for being so helpful
throughout the whole process. I would also like to thank Dr. Weiai “Wayne” Xu for
reviewing the content of this book and suggesting many improvements. Many colleagues
and friends, through casual conversations, deep discussions, and previous projects,
strengthened the quality of the material presented in this book. Special mentions go to Dr.
Miguel Martinez-Alvarez, Marco Campana, and Stefano Campana. I'm also happy to be
part of the PyData London community, a group of smart people who regularly meet to talk
about Python and data science, offering a stimulating environment. Last but not least, a
distinct special mention goes to Daniela, who has encouraged me during the whole
journey, sharing her thoughts, suggesting improvements, and providing a relaxing
environment to go back to after work.
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