Book Image

Python Social Media Analytics

By : Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk
Book Image

Python Social Media Analytics

By: Baihaqi Siregar, Siddhartha Chatterjee, Michal Krystyanczuk

Overview of this book

Social Media platforms such as Facebook, Twitter, Forums, Pinterest, and YouTube have become part of everyday life in a big way. However, these complex and noisy data streams pose a potent challenge to everyone when it comes to harnessing them properly and benefiting from them. This book will introduce you to the concept of social media analytics, and how you can leverage its capabilities to empower your business. Right from acquiring data from various social networking sources such as Twitter, Facebook, YouTube, Pinterest, and social forums, you will see how to clean data and make it ready for analytical operations using various Python APIs. This book explains how to structure the clean data obtained and store in MongoDB using PyMongo. You will also perform web scraping and visualize data using Scrappy and Beautifulsoup. Finally, you will be introduced to different techniques to perform analytics at scale for your social data on the cloud, using Python and Spark. By the end of this book, you will be able to utilize the power of Python to gain valuable insights from social media data and use them to enhance your business processes.
Table of Contents (17 chapters)
Title Page
About the Authors
About the Reviewer
Customer Feedback

Project planning

Analysis of content on social media can get very confusing due to difficulty of working on a large amount of data and also trying to make sense out of it. For this reason, it's extremely important to ask the right questions in the beginning to get the right answers. Even though this is an exploratory approach, and getting exact answers may be difficult, the right questions allow you to define the scope, process, and the time.

The main questions that we will be working on are the following:

  • What does Google post on Facebook?
  • How do people react to Google posts? (likes, shares, and comments)
  • What do Google's Facebook audience say about Google and its ecosystem?
  • What are the emotions expressed by Google's Facebook audience?

With these questions in mind we will proceed to the next steps.

Scope and process

The analysis will consist of analyzing the feed of posts and comments on the official Facebook page of Google.

The process of information extraction is organized in a data flow. It...