Bali R., Sarkar D., Sharma T. Learning Social Media Analytics with R

Packt Publishing, 2017. — 413 p. — ISBN: 978-1787127524.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.What You Will LearnLearn how to tap into data from diverse social media platforms using the R ecosystem
Use social media data to formulate and solve real-world problems
Analyze user social networks and communities using concepts from graph theory and network analysis
Learn to detect opinion and sentiment, extract themes, topics, and trends from unstructured noisy text data from diverse social media channels
Understand the art of representing actionable insights with effective visualizations
Analyze data from major social media channels such as Twitter, Facebook, Flickr, Foursquare, Github, StackExchange, and so on
Learn to leverage popular R packages such as ggplot2, topicmodels, caret, e1071, tm, wordcloud, twittR, Rfacebook, dplyr, reshape2, and many more
Getting started with R and social media analytics.
Twitter – What's happening with 140 characters.
Analyzing social networks and brand engagements with facebook.
Foursquare – Are you checked in yet?
Analyzing software collaboration trends I – Social coding with Github.
Analyzing software collaboration trends II - answering your questions with stackexchange.
Believe what you see – Flickr data analysis.
News – The collective social media!