Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation
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TLDR
This paper identifies the key dimensions of customer service voiced by hotel visitors use a data mining approach, latent dirichlet analysis (LDA), which uncovers 19 controllable dimensions that are key for hotels to manage their interactions with visitors.About:
This article is published in Tourism Management.The article was published on 2017-04-01 and is currently open access. It has received 570 citations till now. The article focuses on the topics: Latent Dirichlet allocation & Perceptual mapping.read more
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The impact of online user reviews on hotel room sales [Summary]
TL;DR: Wang et al. as discussed by the authors developed a fixed effect log-linear regression model to assess the influence of online reviews on the number of hotel room bookings, which indicated a significant relationship between online consumer reviews and business performance of hotels.
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Big data in tourism research: A literature review
TL;DR: This paper might be the first attempt to present a comprehensive literature review on different types of big data in tourism research, and facilitates a thorough understanding of this sunrise research and offers valuable insights into its future prospects.
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Mobile food ordering apps: An empirical study of the factors affecting customer e-satisfaction and continued intention to reuse
TL;DR: An integrated model based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and the features of MFOAs are proposed and support the role of online review, online rating, online tracking, performance expectancy, hedonic motivation, and price value on e-satisfaction and continued intention to reuse.
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An investigation on online reviews in sharing economy driven hospitality platforms: a viewpoint of trust.
TL;DR: In this paper, the authors investigated the effect of online review contents on potential guests' trust perceptions in AirBnB.com and found salient themes determine trust perception: host attributes positively lead to benevolence, location and room aesthetics positively affect ability, room description positively affects integrity, and location and host attributes determine overall trust perception.
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What do hotel customers complain about? Text analysis using structural topic model
TL;DR: In this paper, a structural topic model text analysis method was adopted to analyze 27,864 hotel reviews in New York City, and showed that it leads to improved inference on consumer dissatisfaction.
References
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A Coefficient of agreement for nominal Scales
TL;DR: In this article, the authors present a procedure for having two or more judges independently categorize a sample of units and determine the degree, significance, and significance of the units. But they do not discuss the extent to which these judgments are reproducible, i.e., reliable.
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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).
Book
Applied Regression Analysis
Norman R. Draper,Harry Smith +1 more
TL;DR: In this article, the Straight Line Case is used to fit a straight line by least squares, and the Durbin-Watson Test is used for checking the straight line fit.
Journal ArticleDOI
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
TL;DR: In this paper, a model is proposed which expresses consumer satisfaction as a function of expectation and expectancy disconfirmation, in turn, is believed to influence attitude change and purchase i...