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Reviews and price on online platforms: Evidence from sentiment analysis of Airbnb reviews in Boston

Citations

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Cited by:

  1. Feifei Tian & Fengzhi Sun & Beibei Hu & Zhitao Dong, 2022. "The Impact on Bed and Breakfast Prices: Evidence from Airbnb in China," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
  2. Chunfang Zhao & Yingliang Wu & Yunfeng Chen & Guohua Chen, 2023. "Multiscale Effects of Hedonic Attributes on Airbnb Listing Prices Based on MGWR: A Case Study of Beijing, China," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
  3. Patrick Gauß & Sonja Gensler & Michael Kortenhaus & Nadine Riedel & Andrea Schneider, 2024. "Regulating the sharing economy: The effects of day caps on short- and long-term rental markets and stakeholder outcomes," Journal of the Academy of Marketing Science, Springer, vol. 52(6), pages 1627-1650, November.
  4. Augusto Voltes-Dorta & Federico Inchausti-Sintes, 2021. "The spatial and quality dimensions of Airbnb markets," Tourism Economics, , vol. 27(4), pages 688-702, June.
  5. Giulia Contu & Luca Frigau & Claudio Conversano, 2023. "Price indicators for Airbnb accommodations," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4779-4802, October.
  6. Christopher Gerling & Stefan Lessmann, 2024. "Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis," Papers 2411.14463, arXiv.org.
  7. Ru Jia & Shanshan Wang, 2021. "Investigating the Impact of Professional and Nonprofessional Hosts’ Pricing Behaviors on Accommodation-Sharing Market Outcome," Sustainability, MDPI, vol. 13(21), pages 1-16, November.
  8. Tien Foo Sing & Yiheng Zou, 2024. "Improving search efficiency in housing markets using online listings," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 52(4), pages 1020-1044, July.
  9. Lily Shen & Stephen L. Ross, 2019. "Information Value of Property Description: A Machine Learning Approach," Working papers 2019-20, University of Connecticut, Department of Economics, revised Sep 2020.
  10. Cigdem Gedikli & Robert Hill & Oleksandr Talavera & Okan Yilmaz, 2026. "Online real estate agencies and their impact on the housing market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 54(2), pages 540-579, March.
  11. Nicola Camatti & Giacomo Tollo & Gianni Filograsso & Sara Ghilardi, 2024. "Predicting Airbnb pricing: a comparative analysis of artificial intelligence and traditional approaches," Computational Management Science, Springer, vol. 21(1), pages 1-25, June.
  12. En-Gir Kim & Se-Hak Chun, 2019. "Analyzing Online Car Reviews Using Text Mining," Sustainability, MDPI, vol. 11(6), pages 1-22, March.
  13. Robert J. Hill & Norbert Pfeifer & Miriam Steurer, 2020. "The Airbnb Rent-Premium and the Crowding-Out of Long-Term Rentals," Graz Economics Papers 2020-06, University of Graz, Department of Economics.
  14. Fan, Huirong & Khouja, Moutaz & Gao, Jie & Zhou, Jing, 2023. "Incorporating social learning into the optimal return and pricing decisions of online retailers," Omega, Elsevier, vol. 118(C).
  15. Lily Shen & Sean Wilkoff, 2022. "Cleanliness is next to income: The impact of COVID‐19 on short‐term rentals," Journal of Regional Science, Wiley Blackwell, vol. 62(3), pages 799-829, June.
  16. Laura Abrardi & Elisabetta Raguseo & Laura Rondi, 2026. "Sellers’ behavior and online rating bias: A sentiment analysis on airbnb reviews," Tourism Economics, , vol. 32(2), pages 276-299, March.
  17. Jinwen Tang & Jinlin Cheng & Min Zhang, 2024. "Forecasting Airbnb prices through machine learning," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 45(1), pages 148-160, January.
  18. José António C. Santos & Manuel Á. Fernández-Gámez & Miguel Ángel Solano-Sánchez & Francisco José Rey-Carmona & Lorena Caridad y López del Rio, 2020. "Valuation Models for Holiday Rentals’ Daily Rates: Price Composition Based on Booking.com," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
  19. Lin, Wenzhen & Yang, Fan, 2024. "The price of short-term housing: A study of Airbnb on 26 regions in the United States," Journal of Housing Economics, Elsevier, vol. 65(C).
  20. Hongbo Tan & Tian Su & Xusheng Wu & Pengzhan Cheng & Tianxiang Zheng, 2024. "A Sustainable Rental Price Prediction Model Based on Multimodal Input and Deep Learning—Evidence from Airbnb," Sustainability, MDPI, vol. 16(15), pages 1-22, July.
  21. Alexandru Rusu & Oana Mihaela Stoleriu & Marinela Istrate & Octavian Groza, 2025. "Mapping Visitors Experiences—A Case Study on Selected Airbnb Datasets in Southern Europe," Sustainability, MDPI, vol. 17(7), pages 1-16, April.
  22. Yifei Jiang & Honglei Zhang & Xianting Cao & Ge Wei & Yang Yang, 2023. "How to better incorporate geographic variation in Airbnb price modeling?," Tourism Economics, , vol. 29(5), pages 1181-1203, August.
  23. Jiawei Chen & Yinghui (Catherine) Yang & Hongyan Liu, 2021. "Mining Bilateral Reviews for Online Transaction Prediction: A Relational Topic Modeling Approach," Information Systems Research, INFORMS, vol. 32(2), pages 541-560, June.
  24. Almorox, Eduardo Gonzalo & Stokes, Jonathan & Morciano, Marcello, 2022. "Has COVID-19 changed carer's views of health and care integration in care homes? A sentiment difference-in-difference analysis of on-line service reviews," Health Policy, Elsevier, vol. 126(11), pages 1117-1123.
  25. Gyódi, Kristóf, 2021. "Airbnb and hotels during COVID-19: different strategies to survive," MPRA Paper 109333, University Library of Munich, Germany.
  26. Ma, Guanhua & Ma, Junhua & Li, Hao & Wang, Yiming & Wang, Zhaohua & Zhang, Bin, 2022. "Customer behavior in purchasing energy-saving products: Big data analytics from online reviews of e-commerce," Energy Policy, Elsevier, vol. 165(C).
  27. David Boto-García, 2023. "Methods to examine omitted variable bias in hedonic price studies," Tourism Economics, , vol. 29(6), pages 1598-1623, September.
  28. Dong Zhang & Chong Wu, 2023. "What online review features really matter? An explainable deep learning approach for hotel demand forecasting," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(9), pages 1100-1117, September.
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