Journal ArticleDOI
Predicting overall customer satisfaction: Big data evidence from hotel online textual reviews
Yabing Zhao,Xun Xu,Mingshu Wang +2 more
TLDR
In this article, the authors used a sample of 127,629 reviews from tripadvisor.com to predict overall customer satisfaction using the technical attributes of online textual reviews and customers' involvement in the review community.About:
This article is published in International Journal of Hospitality Management.The article was published on 2019-01-01. It has received 300 citations till now. The article focuses on the topics: Customer satisfaction & Customer relationship management.read more
Citations
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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.
Journal ArticleDOI
Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews
TL;DR: Findings confirm that the proposed hybrid machine learning methods can be implemented as an incremental recommendation agent for spa hotel/resort segmentation through effectively utilizing ‘big data’ procured from online social media contexts.
Journal ArticleDOI
A survey on sentiment analysis methods, applications, and challenges
TL;DR: Sentiment analysis is the process of gathering and analyzing people's opinions, thoughts, and impressions regarding various topics, products, subjects, and services as mentioned in this paper , which can be beneficial to corporations, governments and individuals for collecting information and making decisions based on opinion.
Journal ArticleDOI
Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels
Ali Ahani,Mehrbakhsh Nilashi,Elaheh Yadegaridehkordi,Louis Sanzogni,A. Rashid Tarik,Kathy Knox,Sarminah Samad,Othman Ibrahim +7 more
TL;DR: In this article, the authors identify the important factors for hotel selection based on previous travelers' reviews on TripAdvisor and develop a new method for the use of Multi-Criteria Decision-Making (MCDM) and soft computing approaches.
Journal ArticleDOI
Big Data and analytics in tourism and hospitality: a perspective article
TL;DR: In this article, the authors discuss the evolution of Big Data and Analytics in the tourism and hospitality field and discuss the challenges pertaining to how BD research will be conducted in the next seven decades within tourism and tourism.
References
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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...
Proceedings ArticleDOI
The Stanford CoreNLP Natural Language Processing Toolkit
Christopher D. Manning,Mihai Surdeanu,John Bauer,Jenny Rose Finkel,Steven Bethard,David McClosky +5 more
TL;DR: The design and use of the Stanford CoreNLP toolkit is described, an extensible pipeline that provides core natural language analysis, and it is suggested that this follows from a simple, approachable design, straightforward interfaces, the inclusion of robust and good quality analysis components, and not requiring use of a large amount of associated baggage.
Book
Introductory Econometrics: A Modern Approach
TL;DR: In this article, the authors present a regression analysis with time series data using OLS asymptotics and a simple regression model in Matrix Algebra, which is based on the linear regression model.
Journal ArticleDOI
Basic Content Analysis
TL;DR: In this article, Content Classification and Interpretation Techniques of Content Analysis issues in Content Analysis are discussed and an overview of the content classification and interpretation techniques of content analysis issues are discussed.
Journal ArticleDOI
Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?
TL;DR: In this article, a typology for motives of consumer online articulation is proposed, drawing on findings from research on virtual communities and traditional word-of-mouth literature, which is based on the same authors' work.