Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis

• Main Authors: Bhowmik, Abhijit, Noorhuzaimi, Mohd Noor, Mazid-Ul-Haque, Md., Miah, Md Saef Ullah, Karmaker, Debajyoti
• Format: Conference or Workshop Item
• Language: English; English
• Published: IEEE 2024
• Subjects: QA75 Electronic computers. Computer science; T Technology (General)
• Online Access: http://umpir.ump.edu.my/id/eprint/41745/1/Evaluating_Teachers_Performance_through_Aspect-Based_Sentiment_Analysis%20-%20Intro.pdf; http://umpir.ump.edu.my/id/eprint/41745/2/Evaluating_Teachers_Performance_through_Aspect-Based_Sentiment_Analysis.pdf; http://umpir.ump.edu.my/id/eprint/41745/; https://doi.org/10.1109/I2CT61223.2024.10543706

This research demonstrates a novel approach for evaluating teacher performance by conducting aspect-based sentiment analysis (ABSA) on student feedback. A large dataset of over 2 million student comments about teachers is analyzed using cutting-edge natural language processing and customized deep le...