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)

What you need for this book

The code examples provided in this book assume that you are running a recent version of Python on either Linux, macOS, or Windows. The code has been tested on Python 3.4.* and Python 3.5.*. Older versions (Python 3.3.* or Python 2.*) are not explicitly supported.

Chapter 1Social Media, Social Data, and Python, provides some instructions to set up a local development environment and introduces a brief list of tools that are going to be used throughout the book. We're going to take advantage of some of the essential Python libraries for scientific computing (for example, NumPy, pandas, and matplotlib), machine learning (for example, scikit-learn), NLP (for example, NLTK), and social network analysis (for example, NetworkX).