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

Chapter 5. Campaigns and Consumer Reaction Analytics on YouTube – Structured and Unstructured

YouTube has changed the way video content is stored, transmitted, and viewed in the world. Yesterday's television is today's YouTube. YouTube has put the ability to publish video content to the world at the fingertips of anyone with an internet connection. The fact that viewing videos on YouTube is free and could be viewed at the convenience of your time generates a humongous amount of traffic. The statistics are staggering:

  • 6 out of 10 people prefer online video platforms to live TV
  • YouTube is the third most visited site in the world after Google and Facebook
  • 300 hours of videos are uploaded on YouTube every hour
  • 25 billion hours of video is watched each month

This explains the reason that YouTube was acquired by Google in 2006 for $1.65 billion. One big difference between TV and YouTube is in the ability to measure precisely the impact of video content in terms of traffic and preference. TV content...