Supervised Sentiment Analysis of Indirect Qualitative Student Feedback for Unbiased Opinion Mining
Author:
Affiliation:
1. Department of Computer Science and Engineering, Faculty of Engineering and Technology, JAIN (Deemed-to-be University), Bengaluru 562112, India
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/59/1/15/pdf
Reference20 articles.
1. Mining Social Media Data for Understanding Students’ Learning Experiences;Chen;IEEE Trans. Learn. Technol.,2014
2. Aung, K.Z., and Myo, N.N. (2017, January 24–26). Sentiment analysis of students’ comment using lexicon-based approach. Proceedings of the IEEE/ACIS 16th International Conference on Computer and Information Science (ICIS), Wuhan, China.
3. Sentiment Analysis of Students’ Feedback in MOOCs: A Systematic Literature Review;Dalipi;Front. Artif. Intell.,2021
4. Opinion mining Technique for developing student feedback analysis system using lexicon-based approach (OMFeedback);Wook;Educ. Inf. Technol.,2020
5. Sentimental analysis of student feedback using machine learning techniques;Dsouza;Int. J. Recent Technol. Eng.,2019
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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