Bei Yu is an Associate Professor at the School of Information Studies at Syracuse University. Her research area is in applied natural language processing, especially sentiment and opinion analysis.
Before joining Syracuse she was a postdoctoral researcher at the Kellogg School of Management at Northwestern University. Dr. Yu earned her Ph.D. from the Graduate School of Library and Information Science at University of Illinois at Urbana-Champaign. She holds both B.S. and M.S. degrees in computer science.
My primary research interest is in the area of applied Natural Language Processing (applied NLP).
My research focuses on using machine learning, data mining, and language technologies to study long-standing questions in social sciences, humanities, and library and information science.
Specifically, I conduct computational analysis of large amounts of text data to discover linguistic patterns that characterize people’s opinions, sentiments, and identities, and develop prediction models accordingly.
My current work, funded by an IMLS Early Career Award, focuses on developing an automated citation context analysis tool to help researchers retrieve and summarize academic opinions in literature.
Selected Specific Topics:
- Academic opinions in citation networks
- Political opinions in Congress and media
- Consumer opinions in social media
- Language, gender, authorship, and stylistics
- New methods for annotating data