sentiment analysis on massive open online course evaluation
Author:
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9607522/9607892/09608255.pdf?arnumber=9608255
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Reviewing the effectiveness of lexicon-based techniques for sentiment analysis in massive open online courses;International Journal of Data Science and Analytics;2024-06-19
2. Hidden Variable Models in Text Classification and Sentiment Analysis;Electronics;2024-05-10
3. Machine Learning Approaches for Analysing Sentiment in Reviews on Massive Open Online Courses;Communications in Computer and Information Science;2024
4. Predicting Student Performance in Online Learning During Pandemic Using Machine Learning Techniques;2023 International Conference on Self Sustainable Artificial Intelligence Systems (ICSSAS);2023-10-18
5. Fine-Tuned XLNet: A Transfer Learning Model for MOOCs Evaluation Using Forum Posts;Proceedings of the 2nd International Conference on Cognitive and Intelligent Computing;2023
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