Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Ruomeng Cui & Santiago Gallino & Antonio Moreno & Dennis J. Zhang, 2018. "The Operational Value of Social Media Information," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1749-1769, October.
- Zhu, Bangren & Zheng, Xinqi & Liu, Haiyan & Li, Jiayang & Wang, Peipei, 2020. "Analysis of spatiotemporal characteristics of big data on social media sentiment with COVID-19 epidemic topics," Chaos, Solitons & Fractals, Elsevier, vol. 140(C).
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chou, Ping & Chuang, Howard Hao-Chun & Chou, Yen-Chun & Liang, Ting-Peng, 2022. "Predictive analytics for customer repurchase: Interdisciplinary integration of buy till you die modeling and machine learning," European Journal of Operational Research, Elsevier, vol. 296(2), pages 635-651.
- Yongqiang Zhao & Liwei Zhang, 2022. "An Advanced Study of Urban Emergency Medical Equipment Logistics Distribution for Different Levels of Urgency Demand," IJERPH, MDPI, vol. 19(18), pages 1-16, September.
- Borah, Abhishek & Rutz, Oliver, 2024. "Enhanced sales forecasting model using textual search data: Fusing dynamics with big data," International Journal of Research in Marketing, Elsevier, vol. 41(4), pages 632-647.
- Anton Ivanov & Zhasmina Tacheva & Abdullatif Alzaidan & Sebastian Souyris & Albert C. England, 2023. "Informational value of visual nudges during crises: Improving public health outcomes through social media engagement amid COVID‐19," Production and Operations Management, Production and Operations Management Society, vol. 32(8), pages 2400-2419, August.
- Eva Labro & Mark Lang & Jim Omartian, 2019. "Predictive Analytics and Organizational Architecture: Plant-Level Evidence from Census Data," Working Papers 19-02, Center for Economic Studies, U.S. Census Bureau.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022.
"Special Issue of Production and Operations Management “Social Technologies in Operations”,"
Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 868-869, February.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1954-1955, June.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(11), pages 4332-4333, November.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2348-2349, July.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2792-2793, August.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3327-3328, September.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3838-3839, October.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1555-1556, May.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022. "Special Issue of Production and Operations Management “Social Technologies in Operations”," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1418-1419, March.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4660-4661, December.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022. "Special issue of Production and Operations Management “Social Technologies in Operations”," Production and Operations Management, Production and Operations Management Society, vol. 31(4), pages 1893-1894, April.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2021. "Special Issue of Production and Operations Management Social Technologies in Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 1190-1191, April.
- Liangfei Qiu & Yili (Kevin) Hong & Andrew Whinston, 2022. "Special Issue of Production and Operations Management “Social Technologies in Operations”," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 393-394, January.
- Hainan Huang & Weifan Chen & Tian Xie & Yaoyao Wei & Ziqing Feng & Weijiong Wu, 2021. "The Impact of Individual Behaviors and Governmental Guidance Measures on Pandemic-Triggered Public Sentiment Based on System Dynamics and Cross-Validation," IJERPH, MDPI, vol. 18(8), pages 1-25, April.
- Tsao, Yu-Chung & Chen, Yu-Kai & Chiu, Shih-Hao & Lu, Jye-Chyi & Vu, Thuy-Linh, 2022. "An innovative demand forecasting approach for the server industry," Technovation, Elsevier, vol. 110(C).
- Victor Martínez‐de‐Albéniz & Arnau Planas & Stefano Nasini, 2020. "Using Clickstream Data to Improve Flash Sales Effectiveness," Production and Operations Management, Production and Operations Management Society, vol. 29(11), pages 2508-2531, November.
- Xuan Bi & Gediminas Adomavicius & William Li & Annie Qu, 2022. "Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1644-1660, May.
- Tom L. Dudda & Lars Hornuf, 2025. "The Perks and Perils of Machine Learning in Business and Economic Research," CESifo Working Paper Series 11721, CESifo.
- Ho Cheung Brian Lee & Jan Stallaert & Ming Fan, 2020. "Anomalies in Probability Estimates for Event Forecasting on Prediction Markets," Production and Operations Management, Production and Operations Management Society, vol. 29(9), pages 2077-2095, September.
- Maarouf, Abdurahman & Feuerriegel, Stefan & Pröllochs, Nicolas, 2025. "A fused large language model for predicting startup success," European Journal of Operational Research, Elsevier, vol. 322(1), pages 198-214.
- Chen, Xi & Wong, Tse Chiu, 2021. "Application of social media data in supply chain management : A systematic review," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Ringle, Christian M. & Blecker, Thorsten (ed.), Adapting to the Future: How Digitalization Shapes Sustainable Logistics and Resilient Supply Chain Management. Proceedings of the Hamburg Internationa, volume 31, pages 499-523, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
- Ghouri, Arsalan Mujahid & Mani, Venkatesh & Haq, Mirza Amin ul & Kamble, Sachin S., 2022. "The micro foundations of social media use: Artificial intelligence integrated routine model," Journal of Business Research, Elsevier, vol. 144(C), pages 80-92.
- Yuqian Xu & Mor Armony & Anindya Ghose, 2021. "The Interplay Between Online Reviews and Physician Demand: An Empirical Investigation," Management Science, INFORMS, vol. 67(12), pages 7344-7361, December.
- Zlatana Nenova & Jennifer Shang, 2022. "Chronic Disease Progression Prediction: Leveraging Case‐Based Reasoning and Big Data Analytics," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 259-280, January.
- Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
- Zibarzani, Masoumeh & Abumalloh, Rabab Ali & Nilashi, Mehrbakhsh & Samad, Sarminah & Alghamdi, O.A. & Nayer, Fatima Khan & Ismail, Muhammed Yousoof & Mohd, Saidatulakmal & Mohammed Akib, Noor Adelyna, 2022. "Customer satisfaction with Restaurants Service Quality during COVID-19 outbreak: A two-stage methodology," Technology in Society, Elsevier, vol. 70(C).
- Jung, Seung Hwan & Yang, Yunsi, 2023. "On the value of operational flexibility in the trailer shipment and assignment problem: Data-driven approaches and reinforcement learning," International Journal of Production Economics, Elsevier, vol. 264(C).
More about this item
Keywords
online reviews; text mining; topic modeling; sentiment analysis; COVID-19; discrete emotions;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:9:p:4743-:d:546048. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.