Book Image

Learning Social Media Analytics with R

By : Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma
Book Image

Learning Social Media Analytics with R

By: Dipanjan Sarkar, Karthik Ganapathy, Raghav Bali, Tushar Sharma

Overview of this book

The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how analytics can be leveraged to derive insights from it. This data can be analyzed to gain valuable insights into the behavior and engagement of users, organizations, businesses, and brands. It will help readers frame business problems and solve them using social data. The book will also cover several practical real-world use cases on social media using R and its advanced packages to utilize data science methodologies such as sentiment analysis, topic modeling, text summarization, recommendation systems, social network analysis, classification, and clustering. This will enable readers to learn different hands-on approaches to obtain data from diverse social media sources such as Twitter and Facebook. It will also show readers how to establish detailed workflows to process, visualize, and analyze data to transform social data into actionable insights.
Table of Contents (16 chapters)
Learning Social Media Analytics with R
About the Author
About the Reviewer
Customer Feedback

Chapter 8. News – The Collective Social Media!

News is ubiquitous in nature, be it a breaking news flash, an opinion piece about the latest issues, or just a gossip-monger column on page 3 of your favorite daily. In the new age world of media such as Twitter, Facebook, and so on there is an indistinguishable line between what constitutes news and what constitutes social media content. We share the notion that the unique position news shares in today's electronic world makes it eligible to be termed social media. News can be described as a collective social media outlet, although each individual does not produce the news articles directly, but they collectively represent the beliefs, hopes, and dreams of the society.

In this chapter, we will try to go through the various steps that are involved in analyzing news from different sources. We will deal with the process of using news data and build use cases that will serve as an introduction for the complex analyzes that can be done on that data...