Aspect and Sentiment Classification Mechanisms of Student After-Class Self-Evaluated Comments: Investigation on Nonsense Data, Feature Extraction, and Classification Models
Author:
Affiliation:
1. Department of Computer Science and Engineering, Yuan Ze University, Taoyuan City 32003, Taiwan
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/38/1/43/pdf
Reference13 articles.
1. Student evaluations of faculty grading methods;Holmes;J. Educ. Bus.,2003
2. Student evaluation of instruction: What can be learned from students’ written comments?;Alhija;Stud. Educ. Eval.,2009
3. A recent overview of the state-of-the-art elements of text classification;Protasiewicz;Expert Syst. Appl.,2018
4. Improving early prediction of academic failure using sentiment analysis on self-evaluated comments;Yu;J. Comput. Assist. Learn.,2018
5. Aspect-based opinion mining on student’s feedback for faculty teaching performance evaluation;Sindhu;IEEE Access,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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