Date(s) - 12/03/2020 - 12/05/2020
This seminar will overview the field of “Text as Data” with an emphasis on the social sciences. The course is organized around the tasks in the research process: discovery, measurement and inference. We will introduce methods from natural language processing and machine learning (such as clustering, topic modeling, supervised classification, etc.) while demonstrating through applications how they can be incorporated into the research process. Implementation of the methods will be demonstrated using the R programming language.
The course runs from December 3 to 5 and each day follows the schedule:
10:00am-2:00pm ET: Live lecture via Zoom
3:00pm-4:00pm ET: Live “office hour” via Zoom (Thursday and Friday only)
The fee of $795 covers all course materials.
For more information and to register, visit the course page.