9:00am - 5:00pm
Location: Spieker Forum (6th floor), Chou Hall, Haas School of Business
TextXD brings together researchers from across a wide range of disciplines, who work with text as a primary source of data. We work to identify common principles, algorithms and tools to advance text-intensive research, and break down the boundaries between domains, to foster exchange and new collaborations among like-minded researchers. We encourage scholars and practitioners from a broad disciplinary and geographic range to apply. Talks will range from the theory of text analysis and deep learning to applied analyses or new software packages. In addition to presentations, the event will include a poster session to create dialogue around NLP projects by students and collaborators.
Sponsor:Berkeley Institute for Data Science