Date of Submission

Spring 2020

Academic Program

Computer Science

Project Advisor 1

Sven Anderson

Abstract/Artist's Statement

Sentiment analysis is the study of automated methods of emotion detection in language and speech. It is an area of much active study, and has seen significant progress in improving accuracy over recent years. Many studies however are conducted on datasets of English and other Indo-European languages. We apply well studied methods for sentiment analysis to a Mandarin Chinese data set and compare the accuracies achieved against eachother and other studies. Our findings indicate that methods for improving sentiment analysis accuracy for English may not be as applicable to Mandarin Chinese.

Open Access Agreement

Open Access

Creative Commons License

Creative Commons License
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