Relationship between customer sentiment and online customer ratings for hotels - An empirical analysisM. Geetha, Pratap Singha2017-02-03articleTourism Management356 citationsclosedNo readable copy stored yet — this record is metadata only.Digital Marketing and Social MediaCustomer Service Quality and LoyaltySentiment Analysis and Opinion MiningAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 356 citations exist upstream.References1992Measuring Service Quality: A Reexamination and Extension2008Progress in information technology and tourism management: 20 years on and 10 years after the Internet—The state of eTourism research2007Electronic word-of-mouth in hospitality and tourism management1987Product/Consumption-Based Affective Responses and Postpurchase Processes2009Effects of Word-of-Mouth versus Traditional Marketing: Findings from an Internet Social Networking Site2008Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix2001The relationship between customer loyalty and customer satisfaction2008The impact of online user reviews on hotel room salesCited by2019Market segmentation and travel choice prediction in Spa hotels through TripAdvisor’s online reviews2019Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels2020Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory2020Understanding homophily of service failure within the hotel guest cycle: Applying NLP-aspect-based sentiment analysis to the hospitality industry2021Heritage hotels and customer experience: a text mining analysis of online reviews2021Exploring Sources of Satisfaction and Dissatisfaction in Airbnb Accommodation Using Unsupervised and Supervised Topic Modeling2019Determinants of peer-to-peer rental rating scores: the case of Airbnb2022Topic and sentiment analysis of crisis communications about the COVID-19 pandemic in Twitter’s tourism hashtags