Literary text-mining is a decades-old field that uses quantitative methods to answer enduring literary questions about texts’ meaning, significance, politics, context, and more. Text- mining methods offer researchers the chance to answer new questions at larger scales. This course introduces students to a variety of computational methods, from foundational counting methods to machine-learning. We will investigate several literary datasets from the ancient world using Python programming language. No prior experience in Classics, literary theory or Python is required; different paths through the course are available for students with significant coding experience.

Prerequisites: Sophmore standing or higher.

4

Units

Optional

Grading

1, 2, 3

Passtime

Not open to freshmen

Level Limit

Letters and science

College
LAMAR A
No info found
T B A
25 / 25 Full

CLASS 185
3 / 20 Enrolled
Undergraduate Seminar
Rose MacLean 5.0
M W
12:30 PM - 13:45 PM
76.4% A
CLASS 192
0 / 0 Full
Computational Linguistics Lab
T B A
CLASS 195A
0 / 5 Enrolled
Senior Honors Thesis in Classics
T B A
100.0% A
CLASS 195B
0 / 5 Enrolled
Senior Honors Thesis in Classics
T B A
100.0% A
CLASS 198
0 / 5 Enrolled
Special Readings.
T B A
CLASS 199
0 / 5 Enrolled
Independent Studies In Greek And Latin.
T B A
100.0% A