Fine-grained aspect-based opinion mining on online course reviews for feedback analysis-Reference-Cited by-同舟云学术

Fine-grained aspect-based opinion mining on online course reviews for feedback analysis

Published:2023-05-03 Issue: Volume: Page:1-16
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

Chen Jing¹,Wang Ruiqi¹,Fang Bei²,Zuo Chen¹

Affiliation:

1. College of Transportation Engineering, Chang'an University, Xi'an, People's Republic of China

2. Key Laboratory of Modern Teaching Technology, Ministry of Education, Shaanxi Normal University, Xi'an, People's Republic of China

Funder

National Natural Science Foundation of China

Ministry of Education in China Project of Humanities and Social Sciences

Yulin Science and Technology Plan Project

China Postdoctoral Science Foundation

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2023.2198576

Reference41 articles.

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2. Needle in a haystack: Identifying learner posts that require urgent response in MOOC discussion forums

3. Engaging with massive online courses

4. Atapattu, T., Falkner, K., Thilakaratne, M., Sivaneasharajah, L. & Jayashanka, R. (2019). An identification of learners' confusion through language and discourse analysis. arXiv preprint, arXiv:1903.03286.

5. Care more about customers: Unsupervised domain-independent aspect detection for sentiment analysis of customer reviews

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