Face Mask Sentiment Analysis

As the COVID-19 pandemic continues, the public (or at least those with Twitter accounts) are sharing their personal opinions about mask-wearing via Twitter. What does this data tell us about public opinion? How does it vary by demographic?

Guests

Neil Yeung: Neil Yeung is a student researcher in the Visual Intelligence & Social Media Analytics (VIStA) group at the University of Rochester. He is broadly interested in machine learning, social media data mining, and software engineering. He is working towards a B.S. in Computer Science with a minor in Math and Statistics.

Jonathan Lai: I am a Software Engineer based out of the San Francisco Bay area, My experience has included full stack development on creating multi-cloud platforms with a focus on backend development and web application development. Experienced with full cycle of the Software engineering life process from gathering requirements to implementation and shipping to production.

Jiebo Luo: Jiebo Luo joined the University of Rochester in 2011 after a prolific career of 15 years at Kodak Research Laboratories. His research spans computer vision, natural language processing, machine learning, data mining, computational social science, and digital health. He has authored nearly 600 technical papers and more than 90 U.S. patents. He served as program co-chair of ACM Multimedia 2010, IEEE CVPR 2012, ACM ICMR 2016 and IEEE ICIP 2017, and general co-chair ACM Multimedia 2019 and IEEE ICME 2024, and has been on the editorial boards of several IEEE Transactions journals and publications. He has served as the Editor in Chief of the IEEE Transactions on Multimedia for a three-year term from 2020-2022. He is a Fellow of ACM, AAAI, IEEE, SPIE and IAPR.