Applied Natural Language Processing

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Overview

Subject area

STA

Catalog Number

9665

Course Title

Applied Natural Language Processing

Description

This course provides a survey of the concepts, challenges, and methodologies employed in Natural Language Processing (NLP). The growth of unstructured data has been primarily driven by the textual data. Hence, understanding how to extract actionable insights ethically from text is critical for organizations. The course covers basic natural language processing techniques, document representation, text categorization and clustering, document summarization, sentiment analysis, andsocial media analysis, and other topics.

Typically Offered

Fall, Spring, Summer

Academic Career

Graduate

Liberal Arts

No

Credits

Minimum Units

3

Maximum Units

3

Academic Progress Units

3

Repeat For Credit

No

Components

Name

Lecture

Hours

3

Requisites

033170

Course Schedule