Clustering using ordered weighted averaging operator and 2-tuple linguistic model for hotel segmentation: the case of tripadvisor

Z Shu, RAC González, JP García-Miguel… - Expert Systems with …, 2023 - Elsevier
With the growth of online tourism, it is important to analyze the reviews left by numerous
customers on social networks to improve the hotel's online reputation. Hotel segmentation …

Travellers Segmentation and Choice Prediction through Online Reviews: The Case of Wellington's Hotels in New Zealand.

A Ahani, M Nilashi, O Ibrahim - Journal of Soft Computing & …, 2019 - search.ebscohost.com
Customer choice and segmentation through online reviews can help hotels to improve their
marketing strategy development. Nevertheless, old-style approaches are unproductive in …

Profiling clients in the tourism sector using fuzzy linguistic models based on 2-tuples

I Bueno, RA Carrasco, C Porcel… - Procedia Computer …, 2022 - Elsevier
Customer segmentation is a key piece of a company's business strategy. This paper
presents a segmentation of the online users of tourism platforms through the recency …

Market segmentation and travel choice prediction in Spa hotels through TripAdvisor's online reviews

A Ahani, M Nilashi, O Ibrahim, L Sanzogni… - International Journal of …, 2019 - Elsevier
Customer segmentation via online reviews and ratings can assist different hotels, including
spa hotels, to better inform marketing strategy development and ensure optimal marketing …

A multi-criteria decision-making model for hotel selection with linguistic distribution assessments

S Yu, J Wang, J Wang, L Li - Applied soft computing, 2018 - Elsevier
The effect of online reviews on resulting decisions attracted the interests of merchants and
researchers in different fields. According to existing studies, the decisions of tourists are …

Online reviews analysis for customer segmentation through dimensionality reduction and deep learning techniques

M Nilashi, S Samad, B Minaei-Bidgoli… - Arabian Journal for …, 2021 - Springer
Digital social media has played a key role in tourism and hospitality industry. The use of
machine and deep learning has been effective in market segmentation and customers' …

Hotel Customer Segmentation Using the Integrated Entropy-CRITIC Method and the 2T-RFMB Model

Z Shu, RA Carrasco González… - Marketing and Smart …, 2023 - Springer
Customer segmentation helps the company better understand its target audience, which is
vital to optimizing marketing strategies and maximizing the customer value for the company …

Classification of customer satisfaction attributes: An application of online hotel review analysis

J Dong, H Li, X Zhang - Digital Services and Information Intelligence: 13th …, 2014 - Springer
With the wide penetration of Internet, online hotel reviews have become popular among
travellers. Online hotel reviews also reflect customer satisfaction with hotel services. In this …

The impact of online reviews on hotel ratings through the lens of elaboration likelihood model: A text mining approach

Q Guo, J Yan - KSII Transactions on Internet and Information …, 2023 - koreascience.kr
The hotel industry is an example of experiential services. As consumers cannot fully
evaluate the online review content and quality of their services before booking, they must …

A text segmentation approach for automated annotation of online customer reviews, based on topic modeling

VR Hananto, U Serdült, V Kryssanov - Applied Sciences, 2022 - mdpi.com
Online customer review classification and analysis have been recognized as an important
problem in many domains, such as business intelligence, marketing, and e-governance. To …