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)

Chapter 7.  Blogs, RSS, Wikipedia, and Natural Language Processing

This chapter focuses on natural language processing (NLP), the field of study that deals with natural language. Before digging into the details of NLP, we'll analyze some options to download textual data from the Web.

In this chapter, we will discuss the following topics:

  • How to interact with the and Blogger APIs
  • Web feed formats (RSS and Atom) and their use
  • How to store data from blogs in the JSON format
  • How to interact with the Wikipedia API to search the information about entities
  • The core notions of NLP, particularly with regard to text preprocessing
  • How to process textual data to identify entities mentioned in the text