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
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Chai-Zhang, Thalia Celeste, "An Study of Sentiment Analysis Methods For Mandarin Chinese" (2020). Senior Projects Spring 2020. 299.
https://digitalcommons.bard.edu/senproj_s2020/299
This work is protected by a Creative Commons license. Any use not permitted under that license is prohibited.