A study on online travel reviews through intelligent data analysis
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DOI: 10.1007/s40558-018-0121-z
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Cited by:
- Xinxin Guo & Juho Pesonen & Raija Komppula, 2021. "Comparing online travel review platforms as destination image information agents," Information Technology & Tourism, Springer, vol. 23(2), pages 159-187, June.
- Jian-Wu Bi & Tian-Yu Han & Yanbo Yao & Hui Li, 2022. "Ranking hotels through multi-dimensional hotel information: a method considering travelers’ preferences and expectations," Information Technology & Tourism, Springer, vol. 24(1), pages 127-155, March.
- Arpan Kumar Kar & Sunil Kumar & P. Vigneswara Ilavarasan, 2021. "Modelling the Service Experience Encounters Using User-Generated Content: A Text Mining Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(4), pages 267-288, December.
- Cristina Figueroa-Domecq & Jesús Palomo & Mª Dolores Flecha-Barrio & Mónica Segovia-Pérez, 2020. "Technology double gender gap in tourism business leadership," Information Technology & Tourism, Springer, vol. 22(1), pages 75-106, March.
- Min-Pei Lin & Estela Marine-Roig & Nayra Llonch-Molina, 2022. "Gastronomy Tourism and Well-Being: Evidence from Taiwan and Catalonia Michelin-Starred Restaurants," IJERPH, MDPI, vol. 19(5), pages 1-24, February.
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Keywords
Online travel reviews; Frequent itemsets; Reviewers activities; Recurrent destinations; Text mining; Association rule mining;All these keywords.
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