Sociology 316TX - Special Topics in Sociology: 'Text as Data II: Computational Text Analysis for the Social Sciences'

How can the social sciences benefit from remarkable advances in hardware and software that have unlocked new approaches to using text-as-data? This course interrogates the use of text-as-data from both social scientific and computational perspectives. Students will consider how meaning and context are theorized and how scale is achieved in the analysis of text by social scientists and computational experts. This new frontier will be explored in a hands-on manner; by the end of the course, students will deploy machine learning models to gain insights from large bodies of text such that we may evaluate the utility of these approaches in our quest for insight into the social world.

Prereq: 8 credits in Sociology including SOCI-216TX.