What do hotel guests really want?: An analysis of online reviews using text mining

Author:

Ristova Maglovska

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

General Medicine,General Chemistry

Reference38 articles.

1. Barreda, A., & Bilgihan, A. (2013). An analysis of user generated content for hotel experiences. Journal of Hospitality and Tourism Technology, 4(3), 263-280. https://doi.org/10.1108/JHTT-01-2013-0001;

2. Berezina, K., Bilgihan, A., Cobanoglu, C., & Okumus, F. (2016). Understanding satisfied and dissatisfied hotel customers: Text mining of online hotel reviews. Journal of Hospitality Marketing & Management, 25(1), 1-24. https://doi.org/10.1080/19368623.2015.983631;

3. Chatterjee, P. (2001). Online reviews: Do consumers use them? Online reviews: Do Consumers use them? Advances in Consumer Research, 28, 129-133;

4. Duan, W., Cao, Q., Yu, Y., & Levy, S. (2013). Mining online user-generated content: Using sentiment analysis technique to study hotel service quality. 46th Hawaii International Conference on In System Sciences (HICSS) (pp. 3119-3128). Maui, Hawaii. https://doi.org/10.1109/HICSS.2013.400;

5. Filieri, R., & McLeay, F. (2014). E-WOM and accommodation: An analysis of the factors that influence travelers" adoption of information from online reviews. Journal of Travel Research, 53(1), 44-57. https://doi.org/10.1177/0047287513481274;

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