Social Computing (COMP5800)

User-generated content provide naturally occurring data that can be used to obtain low-cost and high-resolution views into population opinion, response and behavior. The specific focus of this course will be on computational models and natural language processing techniques applied to user-generated content, including those found in social media platforms such as Twitter and Reddit, online reviews, web forums and clinical records. Tools and techniques for crawling and processing user-generated content will be introduced through interactive and hands-on tutorial sessions. In addition, the course will give an overview on prominent applications and research findings on language use in user-generated content. At the end of this course, students should have a good understanding of computational techniques applied to a variety of social media platforms, as well as hands-on experience on a range of tasks from crawling and processing user-generated content to extracting actionable insights from such content.

Course Information

All information are available on Blackboard.