Book Image

Mastering Social Media Mining with Python

By : Marco Bonzanini
Book Image

Mastering Social Media Mining with Python

By: Marco Bonzanini

Overview of this book

Your social media is filled with a wealth of hidden data – unlock it with the power of Python. Transform your understanding of your clients and customers when you use Python to solve the problems of understanding consumer behavior and turning raw data into actionable customer insights. This book will help you acquire and analyze data from leading social media sites. It will show you how to employ scientific Python tools to mine popular social websites such as Facebook, Twitter, Quora, and more. Explore the Python libraries used for social media mining, and get the tips, tricks, and insider insight you need to make the most of them. Discover how to develop data mining tools that use a social media API, and how to create your own data analysis projects using Python for clear insight from your social data.
Table of Contents (15 chapters)
Mastering Social Media Mining with Python
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

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.