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

Summary


This chapter introduced question answering applications, one of the most popular uses of the Web. The popularity of the Stack Exchange network, and of the Stack Overflow website for programmers, is driven by the high-quality material curated by the community. In this chapter, we discussed how to interact with the Stack Exchange API and how to access the whole data set from Stack Exchange using their data dumps.

The second part of the chapter introduced the task of classification and the related supervised machine learning approaches to tackle it. The availability of labeled data from Stack Exchange has provided the opportunity to build a predictive model. The use case proposed in this chapter was the prediction of labels to be used as question tags, but the techniques can be applied to a variety of applications. The final part of the chapter extended the discussion, showing how a machine learning model can easily be integrated in a real-time user-facing application.

The next chapter...