Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0025
Organization:
Location:
Classroom-based
Length:
3 weeks (45 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 2 Computer Science or Text Data Mining
Description

Objective:

The course objective is to give students an introduction to the algorithms, techniques and software used in sentiment analysis. The use of the applications will be illustrated by reference to existing applications, particularly product reviews and opinion mining. The course will clarify both the capabilities and the limitations of these applications. For real-world application, sentiment analysis draws heavily on work in computational linguistics and text-mining.

Learning Outcomes:

  • Demonstrate knowledge of the field of sentiment analysis, the current state-of-the-art and the issues, and problems that are likely to be the focus of future systems

General Topics:

  • Computational linguistics
  • Subjectivity analysis
  • Sentiment extraction
  • Opinion retrieval and spam
Instruction & Assessment

Instructional Strategies:

  • Audio Visual Materials
  • Case Studies
  • Computer Based Training
  • Discussion
  • Lectures
  • Practical Exercises

Methods of Assessment:

  • Quizzes
  • weekly homework assignments; class posts

Minimum Passing Score:

70%
Supplemental Materials