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 4. Foursquare – Are You Checked in Yet?

Foursquare is a search and discovery platform which helps users with their social endeavors. It uses the user's information including previous history, demographic information, location, and so on, to suggest locations of interest to the user. In simple terms, it can be viewed as an application dishing out aggregated location knowledge custom built to an individual's tastes. It is very much akin to the oracle on your shoulder to whom you can ask the important question: "What should I do?" and then decide whether to act on that information.

In this chapter, we will try to learn how we can leverage Foursquare data to gain some meaningful insights to the user's behavior. We will try to build some use cases which will help us in demonstrating the actual process of answering relevant questions starting from the data.

To summarize, broadly we will be covering the following topics:

  • Understanding Foursquare data and working with its data APIs

  • Finding category...