COMP 329: Natural Language Processing

This course will act as an introduction to NPL(Natural Language Processing). NPL is the study of how a computer could comprehend human language.

Credit Hours

 3

Prerequisites

Prereq (COMP 231: Data Structures & Algorithms for Informatics or COMP 271: Data Structures I) and (MATH 131: Applied Calculus I or MATH 161: Calculus I) and (STAT 103: Fundamentals of Statistics or STAT 203: Statistics or ISSCM 241: Business Statistics or PSYC 304: Statistics or instructor permission)

Description

This course provides an introduction to the field of natural language processing (NLP). NLP is concerned with computational approaches to analyzing, generating, and understanding human language. This course will introduce the students to the problems, methods, and applications of NLP.

Outcome

Students will become familiar with such areas of natural language processing as information retrieval, sentiment analysis, machine translation, document classification, and question answering.

Syllabi

There is no syllabus at this time. See Current Course Syllabi.