Natural Language Processing

Catalog description

Natural Language Processing (NLP) covers fundamental concepts and advanced techniques in processing human language using computational methods. Topics include: tokenization, sentiment analysis, machine translation, and ethical considerations. By the end of the program, students gain expertise in building NLP models and applications. Prerequisite knowledge: basic programming with Python. Repeatability: May not be repeated for credit. Grade Mode: Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Click here for the Schedule of Classes.