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)

Getting started

Twitter is one of the most well-known online social networks that enjoy extreme popularity in the recent years. The service they provide is referred to as microblogging, which is a variant of blogging where the pieces of content are extremely short-in the case of Twitter, there is a limitation of 140 characters like an SMS for each tweet. Different from other social media platforms, such as Facebook, the Twitter network is not bidirectional, meaning that the connections don't have to be mutual: you can follow users who don't follow you back, and the other way round.

Traditional media is adopting social media as a way to reach a wider audience, and most celebrities have a Twitter account to keep in touch with their fans. Users discuss happening events in real time, including celebrations, TV shows, sport events, political elections, and so on.

Twitter is also responsible for popularizing the use of the term hashtag as a way to group conversations and allow users...