Research Bio
David Bamman is an associate professor in the School of Information at UC Berkeley, where he works in the areas of natural language processing and cultural analytics, applying NLP and machine learning to empirical questions in the humanities and social sciences. His research focuses on improving the performance of NLP for underserved domains like literature (including LitBank and BookNLP) and exploring the affordances of empirical methods for the study of literature and culture. Before Berkeley, he received his PhD in the School of Computer Science at Carnegie Mellon University and was a senior researcher at the Perseus Project of Tufts University. Bamman's work is supported by the National Endowment for the Humanities, National Science Foundation, an Amazon Research Award, and an NSF CAREER award.
Research Expertise and Interest
natural language processing, machine learning, digital humanities, computational social science, data science
In the News
Mapping 60 Years of Storytelling in Pop Lyrics
With the Help of AI, UC Berkeley Researchers Confirm Hollywood Is Getting More Diverse
What the Bots Are Reading: Berkeley Researchers Investigate the Popular Works Memorized by ChatGPT
Teaching
Special Study for Honors Candidates [COGSCI H195]
Individual Research [COMPSCI 299]
Natural Language Processing [INFO 159]
Natural Language Processing [INFO 259]
Directed Group Study [INFO 298]
Directed Group Work on Final Project [INFO 298A]
Individual Study [INFO 299]
Supervised Research: Interdisciplinary Studies [UGIS 192E]
Special Study for Honors Candidates [COGSCI H195]
Applied Natural Language Processing [INFO 256]
Doctoral Colloquium [INFO 295]
Individual Study [INFO 299]
Supervised Research: Interdisciplinary Studies [UGIS 192E]
Special Study for Honors Candidates [COGSCI H195]
Individual Research [COMPSCI 299]
Natural Language Processing [INFO 159]
Natural Language Processing [INFO 259]
Directed Group Work on Final Project [INFO 298A]
Directed Group Work on Final Project [INFO 298A]
Individual Study [INFO 299]
Supervised Research: Interdisciplinary Studies [UGIS 192E]