46-924 Natural Language Processing

6 units, Carnegie Mellon University

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 toolkits 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, Tepper, Computer Science Dept., or Math Sciences). PhD students with relevant research may be eligible with the instructor's permission.

Prerequisites: 46-923 and 46-927 and 46-937 and 46-926 and 46-921

Offered: Fall 2026, Fall 2025

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