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DATS351 - Sentiment Analysis

Course Details

Course Code: DATS351 Course ID: 5144 Credit Hours: 3 Level: Undergraduate

Sentiment analysis is a specialized form of natural language process intended to determine opinions expressed in written text. This is a lab-based course designed to implement topics covered in labs. The topics covered include the concepts and theories behind Sentiment Analysis. Discussion of the research approaches taken in Sentiment Analysis, knowledge-based techniques, statistical methods, supervised and unsupervised learning, and hybrid approaches. Tasks in Sentiment Analysis will be discussed and implemented through labs, e.g. classifying polarity, and determining an emotional scale. Students will learn how to generate a Sentiment Lexicon. (Prerequisites: MATH302, DATS411)





Prerequisites

Course Schedule

No Course Offerings.

Current Syllabi

Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.
Information is provided in the syllabus when the course begins.

No Syllabi Found

Previous Syllabi

Not current for future courses.