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

Chapter 6.  Questions and Answers on Stack Exchange

This chapter is about Stack Exchange, the question and answer network, and the broader topic of question answering.

In this chapter, we will discuss the following topics:

  • How to create an app that interacts with the Stack Exchange API
  • How to search for users and questions on Stack Exchange
  • How to deal with data dumps for offline processing
  • Supervised machine learning methods for text classification
  • How to predict question tags using machine learning
  • How to embed a machine learning model in a real-time application