Social media such as Twitter and Facebook provide a rich, if imperfect, portal into people’s lives. We analyze tens of millions of Facebook posts to study how language use varies with people’s personality, depression, and empathy. Word clouds, automatically generated lexica, and chatbots with personality provide insight into these traits and support research in psychology.
Joint work with Andy Schwartz, Huy Vu, Johannes Eichstaedt, Anneke Buffone, Joao Sedoc, and Sharath Guntuku
Lyle Ungar is a Professor of Computer and Information Science at the University of Pennsylvania, where he also holds appointments in Psychology, Bioengineering, Genomics and Computational Biology, and Operations, Information and Decisions. He has published over 300 articles, supervised two dozen Ph.D. students, and is co-inventor on ten patents. His current research focuses on using natural language processing and explainable AI for psychological research, including analyzing social media and cell phone sensor data to better understand the drivers of physical and mental well-being.
Host: Mohammad Rostami, POC: Maura Covaci
YOU ONLY NEED TO REGISTER ONCE TO ATTEND THE ENTIRE SERIES – We will send you email announcements with details of the upcoming speakers.
Register in advance for this webinar: https://usc.zoom.us/webinar/register/WN__0VhakI6Q6i3JsasdmNWcA.
After registering, you will receive an email confirmation containing information about joining the Zoom webinar.
The recording for this AI Seminar talk will be posted on our USC/ISI YouTube page within 1-2 business days: https://www.youtube.com/user/USCISI.