TRIADS Training Series: Introduction to Text Analysis in Python (Spring 2026)

This four-session course will provide participants with an introduction to the quantitative analysis of textual data using Python. The course will cover the basics of representing text as numeric data (including text preprocessing, cleaning, stemming and tokenizing). We will then work through some of the more popular methods for text analysis, including topic modeling, word embeddings, and clustering.

This course is intended for graduate students, faculty and staff from any field at WashU who are interested in learning about quantitative text analysis and would like to become familiar with the main libraries and functions used to work with textual data in Python. 

Participants MUST have basic python skills to take this class. Participants who have taken TRIADS beginner Introduction to Python course are encouraged to continue their skills development through this course.

This class will be fully in-person, and participants will use their own laptops.

Time: Mondays and Wednesdays, 11:30-1pm.

Location:  Olin Library Instruction Room 3

Instructor: Claudia Carroll