Enhancing healthcare services recommendation through sentiment analysis

[1] F. Alemi, M. Torii, L. Clementz, D. C. Aron, Feasibility of real-time satisfaction surveys through automated analysis of patients’ unstructured comments and sentiments, Quality Management in Healthcare 21 (2012) 9–19. ⇒332 Search in Google Scholar

[2] M. R. Chauhan, A. Sharma, G. Sikka, The emergence of social media data and sentiment analysis in election prediction, Journal of Ambient Intelligence and Humanized Computing 12 (2021) 2601–2627. ⇒331, 338 Search in Google Scholar

[3] A. Chiche, B. Yitagesu, Part of speech tagging: a systematic review of deep learning and machine learning approaches, Journal of Big Data 9 (2022) 1–25. ⇒334 Search in Google Scholar

[4] J. S. Erickson, A. Viswanathan, J. Shinavier, Y. Shi, J. A. Hendler, Open government data: A data analytics approach, IEEE Intelligent Systems 28 (2013) 19–23. ⇒333 Search in Google Scholar

[5] G. G. Gao, J. S. McCullough, R. Agarwal, A, K. Jha, A changing landscape of physician quality reporting: analysis of patientsâ €™online ratings of their physicians over a 5-year period, Journal of medical Internet research 14 (2012) 38. ⇒331 Search in Google Scholar

[6] M. Godovykh, A. Pizam, Measuring Patient Experience in Healthcare, International Journal of Hospitality Management 112 (2023) 103405. ⇒331 Search in Google Scholar

[7] F. Greaves, C. Millett, Consistently increasing numbers of online ratings of healthcare in England, Journal of Medical Internet Research 14 (2013) 94. ⇒332 Search in Google Scholar

[8] L. He, T. Yin, K. Zheng, They May Not Work! An evaluation of eleven sentiment analysis tools on seven social media datasets, Journal of Biomedical Informatics 132 (2022) 104142. ⇒335 Search in Google Scholar

[9] K. Herng Leong, D. Putri Dahnil, Classification of Healthcare Service Reviews with Sentiment Analysis to Refine User Satisfaction, International Journal of Electrical and Computer Engineering Systems 13 (2022) 323–330. ⇒331 Search in Google Scholar

[10] JA. M. Hopper, M. Uriyo, Using Sentiment Analysis to Review Patient Satisfaction Data Located on the nternet, Journal of health organization and management 29 (2015) 221–233. ⇒331 Search in Google Scholar

[11] J. W. Huppertz, P. Otto, Predicting HCAHPS Scores from Hospitals’ Social Media Pages: A Sentiment Analysis, Health Care Management Review 43 (2018) 359–367. ⇒331 Search in Google Scholar

[12] M. R. Kanfoud, A. Bouramoul, SentiCode: A New Paradigm for One-time Training and Global Prediction in Multilingual Sentiment Analysis, Journal of Intelligent Information Systems 59 (2022) 501–522. ⇒331 Search in Google Scholar

[13] T. Lagu, S. L. Go, N. S. Hannon, A mixed-methods analysis of patient reviews of hospital care in England: implications for public reporting of health care quality data in the United States, The Joint Commission Journal on Quality and Patient Safety 39 (2013) 1–7. ⇒332 Search in Google Scholar

[14] S. T. Lai, R. Mafas, Tentiment Analysis in Healthcare: Motives, Challenges and Opportunities pertaining to Machine Learning, In 2022 IEEE International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE), 2022 1–4. ⇒332 Search in Google Scholar

[15] B. Liang, H. Su, L. Gui, E. Cambria, R. Xu, Aspect-based sentiment analysis via a ective knowledge enhanced graph convolutional networks, Knowledge-Based Systems 235 (2022) 107643. ⇒335 Search in Google Scholar

[16] A. Nawaz, Polarity Estimation and Aggregation in Aspect BasedSentiment Analysis, PhD Thesis, International Islamic University, 2019 ⇒335 Search in Google Scholar

[17] A. Nawaz, T. Ali, Y. Hafeez, S. U. Rehman, M. R. Rashid, Mining public opinion: a sentiment based forecasting for democratic elections of Pakistan, Spatial Information Research 30 (2022) 169–181. ⇒334 Search in Google Scholar

[18] S. P. V. Rajeswaran, Bayesian analysis of ConceptNet relations on PubMed dataset, Journal of Algebraic Statistics 13 (2022) 2016–2025. ⇒335 Search in Google Scholar

[19] M. R. R. Rana, A. Nawaz, J. Iqbal, A Survey on Sentiment Classification Algorithms, Challenges and Applications, Acta Universitatis Sapientiae, Informatica 10 (2018) 58–72. ⇒331 Search in Google Scholar

[20] M. R. R. Rana, S. U. Rehman, A. Nawaz, T. Ali, A. Imran, A. Alzahrani, A. Almuhaimeed, Aspect-based Sentiment Analysis for Social Multimedia: A Hybrid Computational Framework, Computer Systems Science and Engineering 46 (2023) 2415–2428. ⇒335 Search in Google Scholar

[21] A. Rusiecki, Trimmed categorical cross-entropy for deep learning with label noise, Electronics Letters 55 (2019) 319–320. ⇒336 Search in Google Scholar

[22] H. Won, J. Han, M. S. Gil, Y. S. Moon, SODAS: Smart Open Data as a Service for Improving Interconnectivity and Data Usability, Electronics 12 (2023) 1237–2023. ⇒333 Search in Google Scholar

[23] H. Wu, C. Huang, S. Deng, Improving aspect-based sentiment analysis with Knowledge-aware Dependency Graph Network, Information Fusion 92 (2023) 289–299. ⇒331 Search in Google Scholar

[24] X. Xie, S. Ge, F. Hu, M. Xie, N. Jiang, An improved algorithm for sentiment analysis based on maximum entropy, Soft Computing 23 (2019) 599–611. ⇒336, 338 Search in Google Scholar