Applied Natural Language Processing

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Overview

Subject code

STA

Course Number

9665

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.

Career

Graduate

Credits

Value

3

Max

3

Min

3

Course Count

1

Number Of Credits

3

Number Of Repeats

1

Repeatable

No

Contact Use

Yes

Generate Attendance

No

Left Use

Yes

Present Use

Yes

Reason Use

Yes

Tardy Use

Yes

Template Override

No

Time Use

Yes

Attendance Type

Class Meeting

Auto Create

No

Code

LEC

Instructor Contact Hours

3

Default Section Size

30

Final Exam Type

Yes

Include in Dynamic Date Calc

No

Instruction Mode

In Person

LMS File Type

Blackboard CourseInfo 4

Name

Lecture

OEE Workload Hours

0

Optional Component

No

Preferred Room Features

Academic Scheduling

Workload Hours

3