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Research Articles

Online review analysis-based multi-criteria decision-making for evaluating patient satisfaction: A case study of the Haodf website

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Pages 841-859 | Received 12 May 2022, Accepted 10 May 2023, Published online: 02 Jun 2023

References

  • Boquiren, V. M., Hack, T. F., Beaver, K., & Williamson, S. (2015). What do measures of patient satisfaction with the doctor tell us? Patient Education and Counseling, 98(12), 1465–1473. https://doi.org/10.1016/j.pec.2015.05.020
  • Chakraborty, S., & Church, E. M. (2021). Patient hospital experience and satisfaction on social media. International Journal of Quality and Service Sciences, 13(3), 417–432. https://doi.org/10.1108/IJQSS-02-2020-0014
  • Chen, D., & Manning, C. D. (2014). A fast and accurate dependency parser using neural networks [Paper presentation]. Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 740–750). Association for Computational Linguistics. https://doi.org/10.3115/v1/D14-1082
  • Chen, J-m., Lin, H-f., & Yang, Z-h (2009). Automatic acquisition of emotional vocabulary based on syntax. CAAI Transactions on Intelligent Systems, 4(2), 100–106.
  • Chen, S., Guo, X., Wu, T., & Ju, X. (2020). Exploring the online doctor-patient interaction on patient satisfaction based on text mining and empirical analysis. Information Processing & Management, 57(5), 102253. https://doi.org/10.1016/j.ipm.2020.102253
  • Chen, X., Lin, J., Li, X., & Ma, Z. (2021). A novel framework for selecting sustainable healthcare waste treatment technologies under Z-number environment. Journal of the Operational Research Society, 72(9), 2032–2045. https://doi.org/10.1080/01605682.2020.1759382
  • Chen, Z.-S., Liu, X.-L., Chin, K.-S., Pedrycz, W., Tsui, K.-L., & Skibniewski, M. J. (2021). Online-review analysis based large-scale group decision-making for determining passenger demands and evaluating passenger satisfaction: Case study of high-speed rail system in China. Information Fusion, 69, 22–39. https://doi.org/10.1016/j.inffus.2020.11.010
  • Chen, Z-y., Wang, X-k., Peng, J-j., Zhang, H-y., & Wang, J-q (2020). An integrated probabilistic linguistic projection method for MCGDM based on ELECTRE III and the weighted convex median voting rule. Expert Systems, 37(6), e12593. https://doi.org/10.1111/exsy.12593
  • Gomes, L. F. A. M., & Rangel, L. A. D. (2009). An application of the TODIM method to the multicriteria rental evaluation of residential properties. European Journal of Operational Research, 193(1), 204–211. https://doi.org/10.1016/j.ejor.2007.10.046
  • Gou, X., & Xu, Z. (2016). Novel basic operational laws for linguistic terms, hesitant fuzzy linguistic term sets and probabilistic linguistic term sets. Information Sciences, 372, 407–427. https://doi.org/10.1016/j.ins.2016.08.034
  • Gou, X., Xu, Z., & Liao, H. (2017). Hesitant fuzzy linguistic entropy and cross-entropy measures and alternative queuing method for multiple criteria decision making. Information Sciences, 388–389, 225–246. https://doi.org/10.1016/j.ins.2017.01.033
  • Hanauer, D. A., Zheng, K., Singer, D. C., Gebremariam, A., & Davis, M. M. (2014). Public awareness, perception, and use of online physician rating sites. JAMA, 311(7), 734–735. https://doi.org/10.1001/jama.2013.283194
  • He, H. (2021). HanLP: Han language processing [Python].
  • He, H., & Choi, J. D. (2021). The stem cell hypothesis: Dilemma behind multi-task learning with transformer encoders [Paper presentation]. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, In (pp. 5555–5577). Association for Computational Linguistics. https://doi.org/10.18653/v1/2021.emnlp-main.451
  • He, R., Lee, W. S., Ng, H. T., & Dahlmeier, D. (2017). An unsupervised neural attention model for aspect extraction [Paper presentation]. Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics. In (Vol. 1, pp. 388–397). Association for Computational Linguistics. https://doi.org/10.18653/v1/P17-1036
  • Huang, M., Xie, H., Rao, Y., Liu, Y., Poon, L. K. M., & Wang, F. L. (2022). Lexicon-based sentiment convolutional neural networks for online review analysis. IEEE Transactions on Affective Computing, 13(3), 1337–1348. https://doi.org/10.1109/TAFFC.2020.2997769
  • Ko, D. G., Mai, F., Shan, Z., & Zhang, D. (2019). Operational efficiency and patient‐centered health care: A view from online physician reviews. Journal of Operations Management, 65(4), 353–379. https://doi.org/10.1002/joom.1028
  • Li, A-p., Di, P., & Duan, L-g (2015). Document sentiment orientation analysis based on sentence weighted algorithm. Journal of Chinese Computer Systems, 36(10), 2252–2256.
  • Li, Y., Zhang, Y., & Xu, Z. (2020). A decision-making model under probabilistic linguistic circumstances with unknown criteria weights for online customer reviews. International Journal of Fuzzy Systems, 22(3), 777–789. https://doi.org/10.1007/s40815-020-00812-1
  • Liu, F., Liao, H., & Al-Barakati, A. (2023). Physician selection based on user-generated content considering interactive criteria and risk preferences of patients. Omega, 115, 102784. https://doi.org/10.1016/j.omega.2022.102784
  • Liu, P., & Teng, F. (2019). Probabilistic linguistic TODIM method for selecting products through online product reviews. Information Sciences, 485, 441–455. https://doi.org/10.1016/j.ins.2019.02.022
  • Loper, E., & Bird, S., (2002). NLTK: The natural language toolkit. Proceedings of Natural Language Processing and Computational Linguistics-Volume 1, Association for Computational Linguistics [Paper presentation].The ACL-02 Workshop on Effective Tools and Methodologies for Teaching, In (pp. 63–70). Association for Computational Linguistics.
  • Meesala, A., & Paul, J. (2018). Service quality, consumer satisfaction and loyalty in hospitals: Thinking for the future. Journal of Retailing and Consumer Services, 40, 261–269. https://doi.org/10.1016/j.jretconser.2016.10.011
  • Ming, Y., Luo, L., Wu, X., Liao, H., Lev, B., & Jiang, L. (2020). Managing patient satisfaction in a blood-collection room by the probabilistic linguistic gained and lost dominance score method integrated with the best-worst method. Computers & Industrial Engineering, 145, 106547. https://doi.org/10.1016/j.cie.2020.106547
  • Pang, Q., Wang, H., & Xu, Z. S. (2016). Probabilistic linguistic term sets in multi-attribute group decision making. Information Sciences, 369, 128–143. https://doi.org/10.1016/j.ins.2016.06.021
  • Petersen, C. L., Halter, R., Kotz, D., Loeb, L., Cook, S., Pidgeon, D., Christensen, B. C., & Batsis, J. A. (2020). Using natural language processing and sentiment analysis to augment traditional user-centered design: Development and usability study. JMIR mHealth and uHealth, 8(8), e16862. https://doi.org/10.2196/16862
  • Shah, A. M., Yan, X., Tariq, S., & Ali, M. (2021). What patients like or dislike in physicians: Analyzing drivers of patient satisfaction and dissatisfaction using a digital topic modeling approach. Information Processing & Management, 58(3), 102516. https://doi.org/10.1016/j.ipm.2021.102516
  • Wan, Y., Peng, Z., Wang, Y., Zhang, Y., Gao, J., & Ma, B. (2021). Influencing factors and mechanism of doctor consultation volume on online medical consultation platforms based on physician review analysis. Internet Research, 31(6), 2055–2075. https://doi.org/10.1108/INTR-10-2020-0589
  • Wang, L., Wang, X-k., Peng, J-j., & Wang, J-q (2020). The differences in hotel selection among various types of travellers: A comparative analysis with a useful bounded rationality behavioural decision support model. Tourism Management, 76, 103961. https://doi.org/10.1016/j.tourman.2019.103961
  • Wang, X-k., Zhang, H-y., Wang, J-q., Li, J-b., & Li, L. (2021). Extended TODIM-PROMETHEE II method with hesitant probabilistic information for solving potential risk evaluation problems of water resource carrying capacity. Expert Systems, 38(4), e12681. https://doi.org/10.1111/exsy.12681
  • Wang, X-k., Wang, S-h., Zhang, H-y., Wang, J-q., & Li, L. (2021). The recommendation method for hotel selection under traveller preference characteristics: A cloud-based multi-criteria group decision support model. Group Decision and Negotiation, 30(6), 1433–1469. https://doi.org/10.1007/s10726-021-09735-0
  • Wei, Z., Liu, W., Zhu, G., Zhang, S., & Hsieh, M.-Y. (2022). Sentiment classification of Chinese Weibo based on extended sentiment dictionary and organisational structure of comments. Connection Science, 34(1), 409–428. https://doi.org/10.1080/09540091.2021.2006146
  • Wu, J., Lu, K., Su, S., & Wang, S. (2019). Chinese micro-blog sentiment analysis based on multiple sentiment dictionaries and semantic rule sets. IEEE Access. 7, 183924–183939. https://doi.org/10.1109/ACCESS.2019.2960655
  • Xiao, F., Chen, Z-y., Wang, X-k., Hou, W-h., & Wang, J-q (2022). Managing minority opinions in risk evaluation by a delegation mechanism-based large-scale group decision-making with overlapping communities. Journal of the Operational Research Society, 73(10), 2338–2357. https://doi.org/10.1080/01605682.2021.1981783
  • Xu, L., Lin, H., Pan, Y., Ren, H., & Chen, J. (2008). Constructing the affective lexicon ontology. Journal of the China Society for Scientific and Technical Information, 27(2), 180–185.
  • Zhang, C., Xu, Z., Gou, X., & Chen, S. (2021). An online reviews-driven method for the prioritization of improvements in hotel services. Tourism Management, 87, 104382. https://doi.org/10.1016/j.tourman.2021.104382
  • Zhang, J., Lu, X., & Liu, D. (2021). Deriving customer preferences for hotels based on aspect-level sentiment analysis of online reviews. Electronic Commerce Research and Applications, 49, 101094. https://doi.org/10.1016/j.elerap.2021.101094
  • Zhang, R., Xu, Z., & Gou, X. (2023). ELECTRE II method based on the cosine similarity to evaluate the performance of financial logistics enterprises under double hierarchy hesitant fuzzy linguistic environment. Fuzzy Optimization and Decision Making, 22(1), 23–49. https://doi.org/10.1007/s10700-022-09382-3
  • Zhang, W., Ju, Y., & Autran Monteiro Gomes, L. F. (2017). The SMAA-TODIM approach: Modeling of preferences and a robustness analysis framework. Computers & Industrial Engineering, 114, 130–141. https://doi.org/10.1016/j.cie.2017.10.006
  • Zhang, Y., Xu, Z., & Liao, H. (2019). Water security evaluation based on the TODIM method with probabilistic linguistic term sets. Soft Computing, 23(15), 6215–6230. https://doi.org/10.1007/s00500-018-3276-9
  • Zhao, H. (2015). The expansion and application of Chinese emotion word ontology [MA thesis]. Dalian University of Technology.
  • Zhao, Y., Qin, B., & Liu, T. (2010). Sentiment analysis. Journal of Software, 21(8), 1834–1848. https://doi.org/10.3724/SP.J.1001.2010.03832
  • Zindani, D., Maity, S. R., & Bhowmik, S. (2021). Complex interval-valued intuitionistic fuzzy TODIM approach and its application to group decision making. Journal of Ambient Intelligence and Humanized Computing, 12(2), 2079–2102. https://doi.org/10.1007/s12652-020-02308-0
  • Zuheros, C., Martínez-Cámara, E., Herrera-Viedma, E., & Herrera, F. (2021). Sentiment analysis based multi-person multi-criteria decision making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews. Information Fusion, 68, 22–36. https://doi.org/10.1016/j.inffus.2020.10.019

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