Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis
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...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English English |
| Published: |
IEEE
2024
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/41745/ 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 |
| _version_ | 1848826420224065536 |
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| author | Bhowmik, Abhijit Noorhuzaimi, Mohd Noor Mazid-Ul-Haque, Md. Miah, Md Saef Ullah Karmaker, Debajyoti |
| author_facet | Bhowmik, Abhijit Noorhuzaimi, Mohd Noor Mazid-Ul-Haque, Md. Miah, Md Saef Ullah Karmaker, Debajyoti |
| author_sort | Bhowmik, Abhijit |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | 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 learning techniques. The methodology involves identifying positive, negative and neutral aspects of teaching using a BiLSTM model. Rigorous preprocessing, domain adaptation, and performance metrics ensure a robust and objective evaluation. The granular, nuanced insights obtained through this aspect-level sentiment analysis enable educational institutions to provide targeted and unbiased feedback to teachers on their strengths and areas needing improvement. Moreover, this work lays the foundation for detecting potentially fraudulent reviews in academic settings – a crucial capability for safeguarding assessment integrity. The detailed aspect-based analysis methodology presented here significantly advances subjective and holistic evaluation practices. This research has far-reaching implications for enriching teacher development while upholding the credibility of performance assessments through sentiment analysis innovations. |
| first_indexed | 2025-11-15T03:44:32Z |
| format | Conference or Workshop Item |
| id | ump-41745 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T03:44:32Z |
| publishDate | 2024 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-417452024-06-30T14:43:10Z http://umpir.ump.edu.my/id/eprint/41745/ Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis Bhowmik, Abhijit Noorhuzaimi, Mohd Noor Mazid-Ul-Haque, Md. Miah, Md Saef Ullah Karmaker, Debajyoti QA75 Electronic computers. Computer science T Technology (General) 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 learning techniques. The methodology involves identifying positive, negative and neutral aspects of teaching using a BiLSTM model. Rigorous preprocessing, domain adaptation, and performance metrics ensure a robust and objective evaluation. The granular, nuanced insights obtained through this aspect-level sentiment analysis enable educational institutions to provide targeted and unbiased feedback to teachers on their strengths and areas needing improvement. Moreover, this work lays the foundation for detecting potentially fraudulent reviews in academic settings – a crucial capability for safeguarding assessment integrity. The detailed aspect-based analysis methodology presented here significantly advances subjective and holistic evaluation practices. This research has far-reaching implications for enriching teacher development while upholding the credibility of performance assessments through sentiment analysis innovations. IEEE 2024 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/41745/1/Evaluating_Teachers_Performance_through_Aspect-Based_Sentiment_Analysis%20-%20Intro.pdf pdf en http://umpir.ump.edu.my/id/eprint/41745/2/Evaluating_Teachers_Performance_through_Aspect-Based_Sentiment_Analysis.pdf Bhowmik, Abhijit and Noorhuzaimi, Mohd Noor and Mazid-Ul-Haque, Md. and Miah, Md Saef Ullah and Karmaker, Debajyoti (2024) Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis. In: 9th IEEE International Conference for Convergence in Technology, I2CT 2024 , 5 - 7 April 2024 , Pune, India. pp. 1-6. (200137). ISBN 979-8-3503-9447-4 (Published) https://doi.org/10.1109/I2CT61223.2024.10543706 |
| spellingShingle | QA75 Electronic computers. Computer science T Technology (General) Bhowmik, Abhijit Noorhuzaimi, Mohd Noor Mazid-Ul-Haque, Md. Miah, Md Saef Ullah Karmaker, Debajyoti Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis |
| title | Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis |
| title_full | Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis |
| title_fullStr | Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis |
| title_full_unstemmed | Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis |
| title_short | Evaluating Teachers’ Performance through Aspect-Based Sentiment Analysis |
| title_sort | evaluating teachers’ performance through aspect-based sentiment analysis |
| topic | QA75 Electronic computers. Computer science T Technology (General) |
| url | http://umpir.ump.edu.my/id/eprint/41745/ http://umpir.ump.edu.my/id/eprint/41745/ 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 |