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

Summarizing news articles

We have been dealing with a lot of data relevant to news articles in this chapter. So far, we have looked at solving problems such as analyzing the sentiments and emotions conveyed by various articles, and how to extract key topics and concepts from news articles. Another key use case or problem that is relevant in the world of news and journalism is the ability to summarize news articles. You are already aware that we are living in the age of digital revolution, and have moved on from a PC-first culture to a mobile-first culture, which is still rapidly evolving over time. Everyone is busy with their own lives and their work, but they will always have their smartphones, watches, and tablets with them on the go. Accessing the most relevant news as quickly as possible is definitely what customers look for when using their mobile devices or even their PCs. While news headlines do serve this purpose to some extent, the real challenge involves summarizing the core content...