Social Media Analytics

Catalog description

Social media analytics is an increasingly used perspective for describing and modeling the relationships between social actors. This course will lay the groundwork behind social media analytics from conceptual, mathematical, empirical and computational perspectives. We will examine a mix of quantitative and qualitative methods for describing, measuring and analyzing social media. The course will also cover several use cases on social media using R and its packages to utilize data science methodologies such as social media data collection, sentiment analysis, topic analysis, text summarization, recommendation systems, classification, clustering, and visualization. Through practical examples, students will learn different hands-on approaches to retrieve, analyze, and visualize data from diverse social media sources such as Twitter and Facebook. Prerequisite: IT 508.