Date of Submission
Project Advisor 1
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
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Chai-Zhang, Thalia Celeste, "An Study of Sentiment Analysis Methods For Mandarin Chinese" (2020). Senior Projects Spring 2020. 299.
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.