Foundations of Natural Language Processing and Information Retrieval

Catalog description

Provides an overview of natural language processing (NLP) and information retrieval (IR) techniques. Students apply problem-solving skills using NLP and IR algorithms, methodologies, and concepts. Additional topics include text, link, and sentiment analysis, classification algorithms, language theory, search, recommender systems, and examination of emerging trends in the field. Course offered once a year (fall or spring). Prerequisite(s): CSIT 210 and MATH 153 or permission of the Program Director