Race and Natural Language Processing
Case/Problem Study
Main Campus
Course Description
The goal of this practicum is to integrate methods from natural language processing with social scientific perspectives on race to build practical systems that address significant societal issues. Readings will be drawn broadly from across the social sciences and computer science. Students will work with large, complex datasets and participate in research involving community partnerships relevant to race and natural language processing. Graduate standing and instructor permission required. Students interested in participating should complete the online application for permission. Limited enrollment.
OB 687
Units: 3
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Typically Offered
Not Available
Grading Basis
GSB Letter Graded
Class Level
Graduate School of Business
Instructional Mode
In Person
Gen Ed Requirement(s)
None
