A comprehensive dataset for aspect-based sentiment analysis in evaluating teacher performance

• Main Authors: Bhowmik, Abhijit, Noorhuzaimi, Mohd Noor, Miah, Md Saef Ullah, Mazid-Ul-Haque, Md., Karmaker, Debajyoti
• Format: Article
• Language: English
• Published: AIUB Office of Research and Publication 2023
• Subjects: QA75 Electronic computers. Computer science; QA76 Computer software
• Online Access: http://umpir.ump.edu.my/id/eprint/39203/1/A%20comprehensive%20dataset%20for%20aspect-based%20sentiment.pdf; http://umpir.ump.edu.my/id/eprint/39203/; https://doi.org/10.53799/ajse.v22i2.862; https://doi.org/10.53799/ajse.v22i2.862

Teacher performance evaluation is an essential task in the field of education. In recent years, aspect-based sentiment analysis (ABSA) has emerged as a promising technique for evaluating teaching performance by providing a more nuanced analysis of student evaluations. This article presents a novel a...