Natural Language Processing

Course Number: 46924

This course introduces students to natural language processing (NLP) and text mining methods relevant to the study of quantitative finance. Topics include extracting natural language features, topic models, word embeddings, and large language models. The focus is on understanding the foundations of the methods as well as introducing tool-kits for implementation. Prerequisites: 46921, 46923, 46926, and 46927. Non-MSCF students may not take this course without written permission from the instructor. To be eligible, you must be a BSCF student, or a graduate student enrolled in an MSCF participating college/department (Stats & Data Science, Heinz, Tepper, Computer Science Dept.,or Math Sciences). PhD students with relevant research may be eligible with permission from the instructor..

Concentration: Data Science
Semester(s): Mini 6
Required/Elective: Elective
Units: 6
Prerequisite(s): 46921, 46923, 46926, 46927