Journal ArticleDOI
Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand.
TLDR
A methodology that can analyse online reviews using machine learning techniques in such a way that practitioners in the fields of tourism and destination management can understand and apply the technique to improve their attractions is developed.About:
This article is published in Tourism Management.The article was published on 2019-12-01. It has received 165 citations till now. The article focuses on the topics: Latent Dirichlet allocation & Tourism.read more
Citations
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Journal ArticleDOI
Using deep learning and visual analytics to explore hotel reviews and responses
TL;DR: The empirical results indicate that the proposed multi-feature fusion, convolutional neural network model can make different types of data complement each other, thereby outperforming the comparisons.
Journal ArticleDOI
From desktop to destination: User-generated content platforms, co-created online experiences, destination image and satisfaction
TL;DR: In this paper, the authors proposed user-generated platforms as a contributor to the online co-creation process and how this cocreation experience enhances a travel destination's image and, subsequently, impacts on the travel experience.
Journal ArticleDOI
“How was your meal?” Examining customer experience using Google maps reviews
TL;DR: In this paper, the authors examined the effects of restaurant attributes and the underlying factors impacting overall customer experience within a range of different restaurant types, including food, service, atmosphere, and value.
Journal ArticleDOI
User-Generated Content behavior and digital tourism services: A SEM-neural network model for information trust in social networking sites
TL;DR: In this paper , the authors investigated the determinants that affect users' trust in shared information related to travel acquired from social media or tourism sites and found that perceived enjoyment and perceived value were the most critical factors that affected users' travel trust.
Journal ArticleDOI
Hotel attributes and overall customer satisfaction: What did COVID-19 change?
Arpita Srivastava,Vivek Kumar +1 more
TL;DR: This paper conducted a structural topic modeling-based analysis of hotel reviews before and during the pandemic and found that the importance of hotel attributes for customer satisfaction may change due to the prevailing global pandemic given the negative health consequences of the disease, guidelines and advisories issued by health agencies, and wide media coverage.
References
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Journal ArticleDOI
Latent dirichlet allocation
TL;DR: This work proposes a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hofmann's aspect model.
Proceedings Article
Latent Dirichlet Allocation
TL;DR: This paper proposed a generative model for text and other collections of discrete data that generalizes or improves on several previous models including naive Bayes/unigram, mixture of unigrams, and Hof-mann's aspect model, also known as probabilistic latent semantic indexing (pLSI).
Journal ArticleDOI
An algorithm for suffix stripping
TL;DR: An algorithm for suffix stripping is described, which has been implemented as a short, fast program in BCPL, and performs slightly better than a much more elaborate system with which it has been compared.
Journal ArticleDOI
Marketing the competitive destination of the future
TL;DR: In this article, the authors synthesize several models for strategic marketing and management of destinations and provide an overview of several techniques widely used and illustrates examples from around the world. But they do not consider the sustainability of local resources.
Journal ArticleDOI
Electronic word-of-mouth in hospitality and tourism management
TL;DR: The authors describes online interpersonal influence as a potentially cost-effective means for marketing hospitality and tourism, and discusses some of the nascent technological and ethical issues facing marketers as they seek to harness emerging eWOM technologies.