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

Blogs and NLP


Blogs (short for weblogs) are nowadays an important part of the Web, and an incredibly attractive social media platform. Blogs are used by companies, professionals, and hobbyists to reach out to an audience, promote products and services, or simply discuss an interesting topic. Thanks to the abundance of web-publishing tools and services that makes it easy for non-technical users to post their content, setting up a personal blog is a matter of minutes.

From the point of view of a data miner, blogs are the perfect platform to practice text mining. This chapter focuses on two main topics: how to get textual data from blogs and how to apply NLP on such data.

While NLP is a complex field that deserves more than a book just to get started, we're taking a pragmatic approach and introducing the basic theory with practical examples.