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Mastering Social Media Mining with Python

You're reading from   Mastering Social Media Mining with Python Unearth deeper insight from your social media data with advanced Python techniques for acquisition and analysis

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Product type Paperback
Published in Jul 2016
Publisher Packt
ISBN-13 9781783552016
Length 338 pages
Edition 1st Edition
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Author (1):
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Marco Bonzanini Marco Bonzanini
Author Profile Icon Marco Bonzanini
Marco Bonzanini
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Table of Contents (10) Chapters Close

Preface 1. Social Media, Social Data, and Python FREE CHAPTER 2. #MiningTwitter – Hashtags, Topics, and Time Series 3. Users, Followers, and Communities on Twitter 4. Posts, Pages, and User Interactions on Facebook 5. Topic Analysis on Google+ 6. Questions and Answers on Stack Exchange 7. Blogs, RSS, Wikipedia, and Natural Language Processing 8. Mining All the Data! 9. Linked Data and the Semantic Web

Many social APIs


Each of the previous chapters focused on a particular social media platform that has been popular in the recent years. Fortunately, the story is not over. Many platforms provide social networking functionalities, as well as a nice API to mine data from. On the other hand, providing a comprehensive description of all the possible APIs with exhaustive examples and interesting use cases would go far beyond the scope of this book.

In order to provide food for thought, this chapter tackles two aspects of social media mining. Firstly, we'll walk through a few interesting APIs in order to search or mine complex entities such as videos, open source projects, or local businesses. Secondly, we'll discuss what to do if a nice Python client is not available for a particular API.

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