COS 527 - Natural Language Processing

This course provides students with a broad exposure to concepts, theories, underlying algorithms, and methodologies in computational text analytics. In this course, students are introduced to the landscape of computational linguistics and text analytics; natural language understanding; topic modeling; sentiment analysis; quantitative and probabilistic explanation in linguistics; word embeddings; and state-of-the-art tools, methods and computational strategies so they can turn text data to information.

Prerequisite(s): Graduate Standing or appropriate Accelerated Graduate Pathway.
Co-requisite(s):
Credits: 3

Course Typically Offered: Fall, Odd Years
Course Type: Computer Science