COS 527 - Computational Text Analytics

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.
Co-requisite(s):
Credits: 3

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