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

Understanding StackExchange

What started as a single website in 2008 by the name of StackOverflow for developers/programmers has now outgrown its humble beginnings to become a full-fledged Q&A platform catering to topics as varied as mathematics, biology, music, and many more.

Stated simply, StackExchange is a platform consisting of various Q&A websites under its umbrella (one for each topic) where questions, answers, and users are subject to a reward/award process. The platform gamifies the Q&A process and rewards its users with increasing privileges as their reputation scores improve based upon their activity on the network. The reputation scores in turn have been really successful in moderating the content on the network and thus providing useful high quality answers to the majority of the questions unlike other Q&A platforms.

StackExchange site portfolio

In terms of numbers, StackExchange has over 150+ sites for as many topics and growing, it handles about 1.3 billion page...