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

A Web of Data


The World Wide Web Consortium (W3C), an international organization that works to develop Web standards, suggests a simple definition for the Semantic Web (https://www.w3.org/standards/semanticweb/data, retrieved April 2016):

"The Semantic Web is a Web of Data"

Both, the term Semantic Web and this definition, were coined by the inventor of the Web himself, Sir Tim Berners-Lee (https://en.wikipedia.org/wiki/Tim_Berners-Lee), who is also the director of the W3C. When he talks about his greatest invention, he often stresses its social implications and how the Web is more a social creation than a technical one (Weaving the Web, Tim Berners-Lee, 1999).

The vision of the Web as a social platform becomes even clearer if we briefly analyze its evolution. One of the keywords (or buzzwords) that became popular in the first decade of the millennium is Web 2.0, coined in the late 1990s, but later popularized by Tim O'Reilly. The term suggests a new version of the Web, but it doesn't refer...