Aspect2Labels: A novelistic decision support system for higher educational institutions by using multi-layer topic modelling approach

作者：

Highlights：

• Educational data mining is performed for higher educational institutions.

• Aspect2Labels, a multi-layer topic modelling framework to perform annotation.

• Proposed three rule-based algorithms for aspect extraction, validation, and mapping.

• Two data filtering techniques proposed to resolve sparsity and high dimensionality.

摘要

•Educational data mining is performed for higher educational institutions.•Aspect2Labels, a multi-layer topic modelling framework to perform annotation.•Proposed three rule-based algorithms for aspect extraction, validation, and mapping.•Two data filtering techniques proposed to resolve sparsity and high dimensionality.

论文关键词：Aspect-based sentiment analysis,Machine learning applications in education,Aspect extraction,Topic modelling,Opinion mining,Situational awareness

论文评审过程：Received 21 August 2021, Revised 11 May 2022, Accepted 7 July 2022, Available online 19 July 2022, Version of Record 30 July 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118119