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

News data – news is everywhere

A single search of the term "news" yields around 10,43,00,00,000 results, which clearly proves that there is no dearth of news data. A few credible news sources, such as The Guardian and The New York Times, have excellent APIs for data access:

The Guardian main page Image source:

All the major print newspapers have a very strong online presence. Most allow free access to their data, while some will typically charge you for accessing their news feed. But there are few that not only provide news data for free but also ensure easy access to that data through their APIs.

In addition to the individual newspaper websites, an excellent source of news data is a news aggregator. A news aggregator will keep track of news from different sources and will give you access to collective news sources instead of a single one. One such news aggregator is Metanews.

The metanews main page. Image source:

Accessing news...