Sentiment Analysis I

Catalog description

Sentiment analysis is a specialized form of natural language processing intended to determine opinions expressed in written text. This lab-based course is designed to implement topics covered in labs. The topics covered include the concepts and theories behind sentiment analysis and opinion mining. The course will also discuss the research approaches taken in sentiment analysis, knowledge-based techniques, statistical methods, and hybrid approaches. Tasks in sentiment analysis will be discussed and implemented through labs, such as determining an emotional scale and generating a sentiment score. Students will analyze positive and negative words and evaluate customer sentiment through text analysis and emotion recognition techniques. (Prerequisites: MATH302 and DATS411)