COMP 429: Natural Language Processing

Course Information

General Information

Credit Hours

• 3

Prerequisites

• COMP 231: Data Structures & Algorithms for Informatics or COMP 271: Data Structures I

• MATH 131: Applied Calculus I or MATH 161: Calculus I

• STAT 103: Fundamentals of Statistics or STAT 203: Statistics or ISSCM 241: Business Statistics or PSYC 304: Statistics or instructor permission

About

This course will cover techniques in natural language processing.

Description

In this course, students examine in depth the problems, methods, and applications of NLP. Topics will include information retrieval, sentiment analysis, machine translation, document classification, and question answering. We will also cover the underlying theory from probability, statistics, and machine learning that are crucial for the field.

Outcome

• Students will explain areas of NLP such as information retrieval, sentiment analysis, machine translation, document classification, question answering

• Students will apply tools of NLP to a domain of their choice

Syllabi

See the Current Course Syllabi.