ARCHIVES

1. Prakash, Y., & Sharma, D. K. (2023, March). A Survey on Aspect-based Sentiment Analysis for Online Purchased Product Feedback. In
2023 10th International Conference on Computing for Sustainable Global Development (INDIACom) (pp. 1342-1347). Available from:
https://ieeexplore.ieee.org/document/10112385
2. Kit, B. W. S., & Joseph, M. H. (2023, January). Aspect-Based Sentiment Analysis on Movie Reviews. In 2023 15th International Conference
on Developments in eSystems Engineering (DeSE) (pp. 237-243). Available from: https://doi.org/10.1109/DeSE58274.2023.10099815
3. Huang, H., Asemi, A., & Mustafa, M. B. (2023). Sentiment Analysis in E-commerce Platforms: A Review of Current Techniques and Future
Directions. Available from: https://doi.org/10.1109/ACCESS.2023.3307308
4. Chauhan, M. H., & Vyas, D. D. (2025). Advancements in sentiment analysis – A comprehensive review of recent techniques and challenges.
The Scientific Temper, 16(Spl-1), 63–69. Available from: https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.spl-1.09
5. Revathi, K. L., Satish, A. R., & Rao, P. S. (2023, April). Feature level fine grained sentiment analysis for classifying online restaurant
reviews. In 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT) (pp.
1-5). Available from: https://doi.org/10.1109/ICEEICT56924.2023.10157159
6. Lakhanpal, S., Gupta, A., & Agrawal, R. (2023, November). Leveraging Explainable AI to Analyze Researchers’ Aspect-Based Sentiment
About ChatGPT. In International Conference on Intelligent Human Computer Interaction (pp. 281-290). Available from:
https://doi.org/10.1038/srep30242
7. Singh, A. K., & Verma, A. (2021, June). An efficient method for aspect based sentiment analysis using spacy and vader. In 2021 10th IEEE
International Conference on Communication Systems and Network Technologies (CSNT) (pp. 130-135). Available from:
https://doi.org/10.1109/CSNT51715.2021.9509650
8. Tubishat, M., Al-Obeidat, F., & Shuhaiber, A. (2023, July). Sentiment analysis of using chatgpt in education. In 2023 international conference
on smart applications, communications and networking (SmartNets) (pp. 1-7). Available from:
https://doi.org/10.1109/SmartNets58702.2023.10215977
9. P. Verma, R. Srivastava, S. Fatima and A. Pratap, "Sentiment Analysis on ChatGPT Reviews," 2024 IEEE International Students' Conference
on Electrical, Electronics and Computer Science (SCEECS), Bhopal, India, 2024, pp. 1-5. Available from:
https://doi.org/10.1109/SCEECS61226.2024.10493010
10. Sagala, G. J., & Samuel, Y. T. (2024). Sentiment Analysis on ChatGPT App Reviews on Google Play Store Using Random Forest Algorithm,
Support Vector Machine and Naïve Bayes. International Journal of Engineering Business and Social Science, 2(04), 1194-1204. Available
from: https://ijebss.ph/index.php/ijebss
11. Ismail, W. S. (2023, October). Sentiment Analysis of ChatGPT Tweets Using Machine Learning Techniques. In 2023 9th International
Conference on Optimization and Applications (ICOA) (pp. 1-5). Available from: https://doi.org/10.1109/ICOA58279.2023.10308835
12. Bharati, A. U., Bhargavi, M., Harshith, K. S., & Reddy, S. (2023, July). A Comparative Sentiment Analysis on ChatGPT Reviews using
Machine Learning Models. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
(pp. 1-6). Available from: https://doi.org/10.1109/ICCCNT56998.2023.10306609