Reading between the lines: analyzing online reviews by using a multi-method Web-analytics approach
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[1] A. Kirilenko,et al. Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews , 2019, Tourism Management.
[2] Maria Lexhagen,et al. Topic Detection: Identifying Relevant Topics in Tourism Reviews , 2016, ENTER.
[3] Haejung Yun,et al. What makes tourists feel negatively about tourism destinations? Application of hybrid text mining methodology to smart destination management , 2017 .
[4] Harleen Kaur,et al. Predictive modelling and analytics for diabetes using a machine learning approach , 2020, Applied Computing and Informatics.
[5] Pasi Fränti,et al. K-means properties on six clustering benchmark datasets , 2018, Applied Intelligence.
[6] D. Kerstetter,et al. Understanding the Sources of Online Travel Information , 2018 .
[7] Yao Wang,et al. Tourism destination image based on tourism user generated content on internet , 2020 .
[8] Mohsen Rahmani,et al. A recommender system for tourism industry using cluster ensemble and prediction machine learning techniques , 2017, Comput. Ind. Eng..
[9] R. Law,et al. Social Media in Tourism and Hospitality: A Literature Review , 2013 .
[10] Oscar Claveria,et al. Positioning and clustering of the world’s top tourist destinations by means of dimensionality reduction techniques for categorical data , 2017 .
[11] Eva Martín-Fuentes,et al. The more the merrier? Number of reviews versus score on TripAdvisor and Booking.com , 2020 .
[12] Hannes Werthner,et al. Predicting happiness: user interactions and sentiment analysis in an online travel forum , 2017, J. Inf. Technol. Tour..
[13] A. Lo,et al. What makes hotel online reviews credible? , 2019, International Journal of Contemporary Hospitality Management.
[14] Miju Choi,et al. Examining the Asymmetric Effect of Multi-Shopping Tourism Attributes on Overall Shopping Destination Satisfaction , 2019, Journal of Travel Research.
[15] Eleftherios G. Manousakis,et al. The Impact of Online Reputation on Hotel Profitability , 2019 .
[16] Bing Pan,et al. The Effect of Online Information Search on Image Development , 2009 .
[17] Paulo Rita,et al. How to predict explicit recommendations in online reviews using text mining and sentiment analysis , 2020, Journal of Hospitality and Tourism Management.
[18] R. Mahadevan,et al. “Bring the numbers and stories together”: Valuing events , 2018, Annals of Tourism Research.
[19] F. Ali,et al. 30 years of contemporary hospitality management , 2019, International Journal of Contemporary Hospitality Management.
[20] Yong Shi,et al. DWWP: Domain-specific new words detection and word propagation system for sentiment analysis in the tourism domain , 2018, Knowl. Based Syst..
[21] Marcello M. Mariani,et al. The relevance of mixed methods for network analysis in tourism and hospitality research , 2020 .
[22] A. Chua,et al. In search of patterns among travellers' hotel ratings in TripAdvisor , 2016 .
[23] The typological classification of tourist destinations: The region of Valencia, a case study , 2020, Tourism Economics.
[24] J. Xia,et al. Tourism Information Diffusion through SNSs: A Theoretical Investigation , 2020, Sustainability.
[25] Estela Marine-Roig,et al. Destination Image Gaps Between Official Tourism Websites and User-Generated Content , 2016, ENTER.
[26] F. Dayour,et al. Backpackers’ perceived risks towards smartphone usage and risk reduction strategies: A mixed methods study , 2019, Tourism Management.
[27] Tabitha L. James,et al. Exploring patient perceptions of healthcare service quality through analysis of unstructured feedback , 2017, Expert Syst. Appl..
[28] M. Lizardi-Jiménez,et al. Hydrocarbon pollution in underwater sinkholes of the Mexican Caribbean caused by tourism and asphalt: Historical data series and cluster analysis , 2017 .
[29] Fabio Stella,et al. Analyzing user reviews in tourism with topic models , 2015, Information Technology & Tourism.
[30] R. Law,et al. Hospitality and Tourism Online Reviews: Recent Trends and Future Directions , 2015 .
[31] Alekh Gour,et al. Type II fuzzy set-based data analytics to explore amino acid associations in protein sequences of Swine Influenza Virus , 2020, Appl. Soft Comput..
[32] A. Kau,et al. Clustering of Chinese tourists to Singapore: an analysis of their motivations, values and satisfaction. , 2005 .
[33] Hong Cheng,et al. The role of social media advertising in hospitality, tourism and travel: a literature review and research agenda , 2020 .
[34] Shuang Song,et al. Content Analysis of Travel Reviews: Exploring the Needs of Tourists from Different Countries , 2018, ENTER.
[35] I. Butt,et al. A bibliometric analysis of social media in hospitality and tourism research , 2019, International Journal of Contemporary Hospitality Management.
[36] Uttam Chakraborty. Perceived credibility of online hotel reviews and its impact on hotel booking intentions , 2019, International Journal of Contemporary Hospitality Management.
[37] K. Nusair. Developing a comprehensive life cycle framework for social media research in hospitality and tourism , 2020 .
[38] R. González,et al. ICTs in hotel management: a research review , 2019, International Journal of Contemporary Hospitality Management.
[39] Wenjing Duan,et al. An Analysis of One-Star Online Reviews and Responses in the Washington, D.C., Lodging Market , 2013 .
[40] Rolf Gerritsen,et al. What do we know about social media in tourism? A review , 2014 .
[41] S. Becken,et al. Sentiment Analysis in Tourism: Capitalizing on Big Data , 2019 .
[42] Paulo Duarte,et al. Travelers’ use of social media: A clustering approach , 2016 .
[43] Linchi Kwok. Exploratory-triangulation design in mixed methods studies: A case of examining graduating seniors who meet hospitality recruiters’ selection criteria , 2012 .
[44] Anil Bilgihan,et al. How to prevent negative online customer reviews: the moderating roles of monetary compensation and psychological compensation , 2020 .
[45] Lidija Lalicic,et al. Exploring the generalizability of discriminant word items and latent topics in online tourist reviews , 2017 .
[46] Svetlana Stepchenkova,et al. Automated Sentiment Analysis in Tourism: Comparison of Approaches , 2018 .
[47] Stuart J. Barnes,et al. Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation , 2017 .
[48] Sen Zhang,et al. A Review of Text Corpus-Based Tourism Big Data Mining , 2019, Applied Sciences.
[49] Guiwu Wei,et al. Similarity measures of Pythagorean fuzzy sets based on the cosine function and their applications , 2018, Int. J. Intell. Syst..
[50] Marcello M. Mariani,et al. How do online reviewers’ cultural traits and perceived experience influence hotel online ratings? , 2019, International Journal of Contemporary Hospitality Management.
[51] Shuo Xu,et al. Bayesian Naïve Bayes classifiers to text classification , 2018, J. Inf. Sci..
[52] Kojiro Watanabe,et al. Tourism Analysis Using User-Generated Content: A Case Study of Foreign Tourists Visiting Japan on TripAdvisor , 2020 .
[53] A. Lewis,et al. Exploring clustering as a destination development strategy for rural communities: The case of La Brea, Trinidad , 2017 .
[54] Q. Ye,et al. Determinants of Customer Satisfaction in the Hotel Industry: An Application of Online Review Analysis , 2013 .
[55] Yung-Chun Chang,et al. Using deep learning and visual analytics to explore hotel reviews and responses , 2020 .
[56] Rob Law,et al. Network analysis of big data research in tourism , 2020 .
[57] Chun-Hung Chen,et al. Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor , 2017, Int. J. Inf. Manag..
[58] Catheryn Khoo-Lattimore,et al. The time has come: a systematic literature review of mixed methods research in tourism , 2019 .
[59] F. Okumus,et al. An epistemological view of consumer experiences. , 2011 .
[60] M. Geetha,et al. Relationship between customer sentiment and online customer ratings for hotels - An empirical analysis , 2017 .
[61] Ying Wang,et al. Retail tours in China for overseas Chinese: Soft power or hard sell? , 2014 .
[62] Estela Marine-Roig,et al. Tourism analytics with massive user-generated content: a case study of Barcelona. , 2015 .
[63] Ana Catarina Calheiros,et al. Sentiment Classification of Consumer-Generated Online Reviews Using Topic Modeling , 2017 .
[64] Ling Li,et al. Big data in tourism research: A literature review , 2018, Tourism Management.
[65] Viriya Taecharungroj,et al. Analysing TripAdvisor reviews of tourist attractions in Phuket, Thailand , 2019 .
[66] Hartoyo,et al. Segmentation of the tourism market for Jakarta: classification of foreign visitors' lifestyle typologies. , 2016 .
[67] Yafeng Yin,et al. Discovering themes and trends in transportation research using topic modeling , 2017 .
[68] Raffaele Filieri,et al. Why do travelers trust TripAdvisor? Antecedents of trust towards consumer-generated media and its influence on recommendation adoption and word of mouth , 2015 .
[69] Vadlamani Ravi,et al. Churn prediction using comprehensible support vector machine: An analytical CRM application , 2014, Appl. Soft Comput..
[70] R. Law,et al. Progression and development of information and communication technology research in hospitality and tourism , 2019, International Journal of Contemporary Hospitality Management.
[71] Ana María Munar,et al. Motivations for sharing tourism experiences through social media , 2014 .
[72] Andrew Lockwood,et al. Developing a scale measuring customers’ servicescape perceptions in upscale hotels , 2020 .
[73] Eleonora Bilotta,et al. Using social media to identify tourism attractiveness in six Italian cities , 2019, Tourism Management.
[74] Silke Adam,et al. Applying LDA Topic Modeling in Communication Research: Toward a Valid and Reliable Methodology , 2018 .
[75] Sergio Toral,et al. Post-visit and pre-visit tourist destination image through eWOM sentiment analysis and perceived helpfulness , 2016 .
[76] Kirstie Méheux,et al. Tourist sector perceptions of natural hazards in Vanuatu and the implications for a small island developing state. , 2006 .
[77] Andrea Ganzaroli,et al. Vicious advice: Analyzing the impact of TripAdvisor on the quality of restaurants as part of the cultural heritage of Venice , 2017 .
[78] Irem Önder,et al. Forecasting city arrivals with Google Analytics , 2016 .
[79] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[80] C. Morosan,et al. Classification and characterization of US consumers based on their perceptions of risk of tablet use in international hotels , 2019, Journal of Hospitality and Tourism Technology.
[81] Kawon Kim,et al. Value destruction in exaggerated online reviews , 2019, International Journal of Contemporary Hospitality Management.
[82] Weidong Huang,et al. Destination Image Recognition And Emotion Analysis: Evidence From User-Generated Content Of Online Travel Communities , 2020 .
[83] Daniel A. Guttentag. Progress on Airbnb: a literature review , 2019 .