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)

Mining your followers

In the real world, a social community is a group of people who share some common conditions. This broad definition includes, for example, communities of people located in a precise geographical area, people with the same political or religious belief, or people sharing a specific interest, such as reading books.

The concept of social communities is also central to social media platforms. The boundaries of a community in a virtual environment can be more blurred than in the real world as, for example, the geographical aspect is less determinant. Just like in a face-to-face situation, a community naturally appears on a social media platform when people with common interest or condition start to interact.

We can make the first distinction between different types of communities depending on whether their members explicitly understand being part of it. In explicit communities, members and non-members know exactly whether they belong to the community or not, and usually understand...