INFO 6350 - Text Mining History and Literature

Fall. 4 credits. Letter grades only.

Prerequisite: INFO 6010 or permission of instructor. Primarily for: students with programming and data science experience, or permission of instructor required. Co-meets with INFO 3350.

M. Wilkens.

The course will introduce methods for computer-assisted analysis of historical text collections. It will cover corpus curation, representing text as data, building statistical models from text, and interpreting results. Statistical and programming concepts will be introduced as needed. The class will also reflect on how computational methods fit with existing practices in the humanities, and how we can use models as complements to our own interpretations. Following the course, students will be able to assist faculty in computer-assisted scholarship.