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 (10 chapters)

Summary

At the beginning of this chapter, we referenced the vision of Tim Berners-Lee, the creator of the Web. Considering the Web as a social creation rather than a technical one is a point of view that softens the border between social and semantic data.

We also described the bigger picture of the Semantic Web and how the different technologies proposed throughout the years fit together and offer the opportunity to make this vision concrete. Even though the hype and hope about the Semantic Web have been quite high in the past 15-20 years, Tim Berners-Lee's vision is not ubiquitous yet.

Community efforts such as those promoted by the W3C, and by governments and other private companies, such as schema.org, attempt to make a strong push towards this direction. While the skeptics have plenty of material to discuss why the promises of the Semantic Web are not fully implemented yet, we prefer to focus on the opportunities that we have at the moment.

The current trends of the social media...