TRIADS Training Series: Introduction to Text Analysis in Python

This four-session course will provide participants with an introduction to analyzing textual data using Python. Topics will include how to read and prepare textual data for computational analysis, and basic techniques for analysis of large textual corpora, such as word frequency analysis, topic modeling, clustering and basic machine learning classification. 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 are expected to have a basic proficiency in Python. Participants who have taken TRIADS Introduction to Python class are welcome to attend.

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

Time: Mondays and Wednesdays, 10-11.30am

Location: Olin Library Level A, Instruction Room 3

Instructor: Claudia Carroll

Max enrollment: Enrollment is limited to 20. If you enroll and elect not to attend, please let us know ASAP so we can offer the space to another participant.