Sentiment Analysis of Students Feedback in Online Courses Using Supervised, Ensemble, and Transfer Learning Methods
Author:
Affiliation:
1. Mathematics and Informatics Department, polydisciplinary faculty/Sultan Moulay Slimane University, Morocco
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3659677.3659733
Reference28 articles.
1. An Analysis of Student Self-Assessment of Online, Blended, and Face-to-Face Learning Environments: Implications for Sustainable Education Delivery
2. MOOCS and 100 Days of COVID: Enrollment surges in massive open online astronomy classes during the coronavirus pandemic
3. “Student Feedback on Quality Matters Standards for Online Course Design.” Accessed: Oct. 14, 2023. [Online]. Available: https://er.educause.edu/articles/2017/6/student-feedback-on-quality-matters-standards-for-online-course-design
4. Sentiment analysis algorithms and applications: A survey
5. Sentiment analysis on massive open online course evaluations: A text mining and deep learning approach
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
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