Learning Social Media Analytics with R: Transform data from social media platforms into actionable business

Tap into the realm of social media and unleash the power of analytics for data-driven insights using R

Key Features

A practical guide written to help leverage the power of the R eco-system to extract, process, analyze, visualize and model social media data

Learn about data access, retrieval, cleaning, and curation methods for data originating from various social media platforms.

Visualize and analyze data from social media platforms to understand and model complex relationships using various concepts and techniques such as Sentiment Analysis, Topic Modeling, Text Summarization, Recommendation Systems, Social Network Analysis, Classification, and Clustering.

Book Description

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.

What you will learn

Learn 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