Multilabel Aspect-Based Sentiment Analysis (M-ABSA) of Healthcare Services Based on Opinion Extraction and Powerset Labeling
Received: 15 December 2025 | Revised: 3 February 2026 and 26 February 2026 | Accepted: 15 March 2026 | Online: 6 June 2026
Corresponding author: Fika Hastarita Rachman
Abstract
Healthcare facility services are important in supporting public health and reducing health risks. Multilabel Aspect-based Sentiment Analysis (M-ABSA) can be used to analyze patient reviews from social media, allowing healthcare facility managers to identify areas that need improvement based on public perception, thereby supporting the continuous enhancement of healthcare service quality. This study compares two M-ABSA approaches: a transformation approach with powerset labeling and feature engineering techniques with opinion extraction. In addition, a traditional machine learning method (Random Forest) is compared with deep learning methods such as Long Short Term Memory (LSTM) and Indonesian Bidirectional Encoder Representative from Transformers (IndoBERT). The experimental results show that powerset labeling with random oversampling led to an accuracy of 0.79, while M-ABSA using opinion extraction achieved 0.81 with LSTM. These results indicate that the feature engineering approach using opinion extraction combined with deep learning, particularly LSTM, performs well in analyzing healthcare facility user review data.
Keywords:
natural language processing, multilabel aspect-based sentiment analysis, opinion extraction, powerset labeling, public health, health risk, product innovation, social protection system, deep learningReferences
S. Sapkota, M. R. Tiwary, and K. B. Zare, "Access to Healthcare Facilities and Social Well-being in Urban Areas," Journal of Applied. Bioanalysis, vol. 10, no. 2, pp. 243–251, 2024.
Z. Gizaw, T. Astale, and G. M. Kassie, "What improves access to primary healthcare services in rural communities? A systematic review," BMC Primary Care, vol. 23, no. 1, Dec. 2022, Art. no. 313.
R. Irawan and E. Pasaribu, "The Effect Of Health Expenditure On Life Expectancy In Bengkulu," Jurnal Ekonomi, vol. 29, no. 3, pp. 552–569, Dec. 2024.
A. I. A. Rahim, M. I. Ibrahim, K. I. Musa, S. L. Chua, and N. M. Yaacob, "Assessing Patient-Perceived Hospital Service Quality and Sentiment in Malaysian Public Hospitals Using Machine Learning and Facebook Reviews," International Journal of Environmental Research and Public Health, vol. 18, no. 18, Sept. 2021.
L. Pokhrel, A. Kumar, P. Garg, N. Anand, and N. Singh, "AI and IoT in Global Health: Ethical Lessons From Pandemic Response," in Development and Management of Eco-Conscious IoT Medical Devices, IGI Global Scientific Publishing, 2026, pp. 367–394.
A. T. Eshlaghy, A. Daneshvar, A. Peivandizadeh, A. R. S Senathirajah, and I. Ibrahim, "Designing a Sustainable Model for Providing Health Services Based on the Internet of Things and Meta-Heuristic Algorithms," International Journal of Supply and Operations Management, vol. 12, no. 1, pp. 28–47, Feb. 2025.
Y. Hapsari and A. C. Sjaaf, "Effect of Hospital Accreditation on Patient Safety Culture and Satisfaction: A Systematic Review," The International Conference on Public Health Proceedings, Bangkok, Thailand, vol. 4, no. 02, pp. 547–555.
M. J. Alhawajreh, W. J. Jackson, and A. S. Paterson, "Healthcare professionals’ perceptions about implementing accreditation as a strategy to improve healthcare quality and organisational performance: a cross-sectional survey study," PLOS ONE, vol. 20, no. 3, 2025, Art. no. e0320664.
M. J. Alhawajreh, A. S. Paterson, and W. J. Jackson, "Impact of hospital accreditation on quality improvement in healthcare: A systematic review," PLOS ONE, vol. 18, no. 12, Dec. 2023, Art. no. e0294180.
A. Vuohijoki, L. Ristolainen, J. Leppilahti, S. M. Kivivuori, and H. Hurri, "Impact of joint commission international accreditation on occupational health and patient safety: A systematic review," PLOS One, vol. 20, no. 6, June 2025, Art. no. e0325894.
P. C. C. A. Nasution, D. Ayuningtyas, A. Bachtiar, and B. Besral, "The Development and Impact of Hospitals Accreditation in Southeast Asia: A Scoping Review," Journal of Health Research, vol. 39, no. 2, May 2025.
S. B. Syed, S. Leatherman, N. Mensah-Abrampah, M. Neilson, and E. Kelley, "Improving the quality of health care across the health system," Bulletin of the World Health Organization, vol. 96, no. 12, Dec. 2018, Art. no. 799.
C. Murray, L. Mitchell, J. Tuke, and M. Mackay, "Revealing patient-reported experiences in healthcare from social media using the design-acquire-process-model-analyse-visualise framework," Digital Health, vol. 10, Jan. 2024, Art. no. 20552076241251715.
M. I. Khan, Z. U. Rahman, M. A. Saleh, and S. U. Z. Khan, "Social Media and Social Support: A Framework for Patient Satisfaction in Healthcare," Informatics, vol. 9, no. 1, Mar. 2022.
E. I. Setiawan, "Aspect-Based Sentiment Analysis of Healthcare Reviews from Indonesian Hospitals based on Weighted Average Ensemble," Journal of Applied Data Sciences, vol. 5, no. 4, pp. 1579–1596, Dec. 2024.
P. Bhatia and R. Nath, "Using Sentiment Analysis in Patient Satisfaction: A Survey," Advances in Mathematics: Scientific Journal, vol. 9, no. 6, pp. 3803–3812, July 2020.
A. Siddiqua and H. C. Nagaraj, "Design and Development of an Efficient Ensemble Model for Aspect-Based Sentiment Analysis," Engineering, Technology & Applied Science Research, vol. 15, no. 4, pp. 24964–24969, Aug. 2025.
J. Li et al., "Identifying healthcare needs with patient experience reviews using ChatGPT," PLOS ONE, vol. 20, no. 3, Mar. 2025, Art. no. e0313442.
E. I. Setiawan, P. Tjendika, J. Santoso, F. X. Ferdinandus, G. Gunawan, and K. Fujisawa, "Aspect-Based Sentiment Analysis of Healthcare Reviews from Indonesian Hospitals based on Weighted Average Ensemble," Journal of Applied Data Sciences, vol. 5, no. 4, pp. 1579–1596, Oct. 2024.
C. A. S. Araujo, M. M. Siqueira, and A. M. Malik, "Hospital accreditation impact on healthcare quality dimensions: a systematic review," International Journal for Quality in Health Care, vol. 32, no. 8, pp. 531–544, Nov. 2020.
K. Lewis and R. Hinchcliff, "Hospital accreditation: an umbrella review," International Journal for Quality in Health Care, vol. 35, no. 1, Feb. 2023, Art. no. mzad007.
A. Maretta and A. Meiriza, "Aspect-Based Sentiment Analysis of Hospital Service Reviews Using Fine-Tuned IndoBERT," Journal of Applied Informatics and Computing, vol. 9, no. 5, pp. 2541–2551, Oct. 2025.
N. C. Mei, S. Tiun, and G. Sastria, "Multi-Label Aspect-Sentiment Classification on Indonesian Cosmetic Product Reviews with IndoBERT Model," International Journal of Advanced Computer Science & Applications, vol. 15, no. 11, Nov. 2024, Art. no. 712.
F. M. Alotaibi, "A Machine-Learning-Inspired Opinion Extraction Mechanism for Classifying Customer Reviews on Social Media," Applied Sciences, vol. 13, no. 12, June 2023, Art. no. 7266.
D. Kumar and F. Ahamad, "A Review on Challenges in Recent Opinion Extraction Techniques," in International Journal of Innovative Research in Computer Science and Technology (IJIRCST), Mar. 2024, pp. 13–17.
L. W. Ku, Y. T. Liang, and H. H. Chen, "Opinion extraction, summarization and tracking in news and blog corpora," in Papers from the 2006 AAAI Spring Symposium, 2006.
A. Chiche and B. Yitagesu, "Part of speech tagging: a systematic review of deep learning and machine learning approaches," Journal of Big Data, vol. 9, no. 1, Jan. 2022, Art. no. 10.
M. Raees and S. Fazilat, "Lexicon-Based Sentiment Analysis on Text Polarities with Evaluation of Classification Models." arXiv, 2024.
E. C. Narendra, A. A. Arifiyanti, and T. L. I. Sugata, “Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications,” Aviation Electronics, Information Technology, Telecommunications, Electricals, and Controls (AVITEC), vol. 7, no. 2, pp. 195–207, June 2025.
A. M. Shetty, M. F. Aljunid, D. H. Manjaiah, and A. M. S. S. Afzal, "Hyperparameter Optimization of Machine Learning Models Using Grid Search for Amazon Review Sentiment Analysis," in Data Science and Applications, 2024, pp. 451–474.
E. Ben-David, C. Rabinovitz, and R. Reichart, "PERL: Pivot-based Domain Adaptation for Pre-trained Deep Contextualized Embedding Models," Transactions of the Association for Computational Linguistics, vol. 8, pp. 504–521, July 2020.
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Copyright (c) 2026 Fika Hastarita Rachman, Firdaus Solihin, Ika Oktavia Suzanti, Imamah, Deshinta Arrova Dewi
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