What can big data and text analytics tell us about hotel guest experience and satisfaction?

Cited by (952)

Items 701–800 of 952

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6. Spatiotemporal Evolution and Causal Analysis of Rural Tourism Popularity in Jilin Province Based on Multiple Data
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8. An Improved Three-stage DEA as Business Intelligence for Benchmarking Luxury Hotels with Environmental Effect
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9. Service Management in the E-Tourism Era
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10. Investigating the Relationships among Sentiment, Hotel Aspects, and Customer’s Home Country from Online Reviews: A Machine Learning Approach
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19. Enhancing Guest Experience With Data-Driven Customization: Path to Customer Loyalty
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20. Designing and Evaluating an Innovative Text Analytics Solution for Online Retailers’ Operational Decision Support
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22. Text Analytics Interpretative Methods and Tools
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23. Exploring Sustainability Practices and Perceptions in the Hotel Industry: Evidence from Online Customer Reviews
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26. The Mediating Role of Sustainable Competitive Advantage: A Comparative Study of Disaggregated vs. Holistic Models in Green Hotels
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28. From Service Orientation to Strategic Operational Capability: Drivers for Hotel Competitiveness in China
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29. Leveraging big data and spatial analysis for customer-centric evaluation of Chinese tourism performing arts
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30. Uncovering big data in teaching public administration
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31. Uncovering customer sentiment and brand perception by leveraging large language models: A case study in the automotive industry
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32. Reconstructing Literary Heritage Tourism Spaces Through Tourist Perception: A Multidimensional Framework for Sustainable Cultural Landscapes
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33. Winning the Sky Race: Analyzing the Competitiveness of Airline Guest experience Through Theory-Driven Impact Asymmetry Competitor Analysis
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34. AI-driven sentiment analysis of grape wine consumers: A comparative study between China and Italy
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35. Exploring the potential of social media tools to enhance customer's satisfaction and increase turnover in the Irish accommodation sector.
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36. An Extractive Text Summarization approach for Analyzing Educational Institution’s Review and Feedback Data
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37. Tendencies of development of the concept of service management: analysis of foreign researches
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38. Examining the Impact of E- Shopping on Customer Loyalty
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39. Big Data Perception & Usage
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40. The Assessment of Factors Influencing Hotel Services Consumers Behaviour
    Mohamad Alaa Ktait · 2020 · Journal of Advanced Research in Dynamical and Control Systems
41. An Evaluation of Customer Rating, Online Review, and Management Response in Measuring Budget Hotel Performance: A Case of Seri Pauh Natural Motel, Perlis, Malaysia
    Zulaiha Ahmad, Syazwani Ya, Kamsol Mohamed Kassim, Nurul Farihin Mhd Nasir, Nurwahida Fuad, Hasrul Nizam Hamsani · 2020 · Springer eBooks
42. Similarities and Differences Between Word-of-Mouth and Electronic Word-of-Mouth
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43. Analysis of Online Hotel Reviews During the COVID-19 Pandemic Using Topic Modeling
    Özlem Ergüt · 2021 · Advances in hospitality, tourism and the services industry (AHTSI) book series
44. Naive Bayes for Thesis Labeling
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45. Toward a Conceptualization of Big Data Value Chain
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46. Knowledge Interference For Advanced Experience by a House Officer (Ho)
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47. Opinion Mining in Tourism
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48. A QUINQUENNIUM MAPPING LITERATURE REVIEW ON BIG DATA ANALYTICS IN TOURISM AND HOSPITALITY
    Nikolaos Misirlis and Dirk van der Steenhoven · 2022 · IADIS International Conference on e-Society (ES)
49. Evolution of communication policies at luxury hotels and their influence on guest ratings
    Sandra Morini Marrero, Yaiza del Mar Armas Cruz, Esperanza Gil Soto, José Manuel Ramos Henríquez · 2022 · Current Issues in Tourism
50. SANAL PAZAR UYGULAMALARININ KULLANILABİLİRLİĞİNİN DUYGU ANALİZİ TEMELLİ DEĞERLENDİRİLMESİ
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51. Leveraging Emotional and Artificial Intelligences for Customers
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52. Introduction to the Handbook of Big Data Research Methods
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53. Big Data for Customer Experience in Hospitality & Tourism Sector: A Review
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54. Social Media Analytics
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55. Changes in guests’ hotel evaluations due to covid-19: The case of the world heritage city of Cuenca
    José Luis Alfaro Navarro, María Encarnación Andrés Martínez · 2023 · Tourism and hospitality management
56. WHAT DO WE KNOW ABOUT CUSTOMER SATISFACTION IN THE HOSPITALITY AND TOURISM INDUSTRY? THE GLIMPSE FROM A BIBLIOMETRIC ANALYSIS
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57. Development of Mechanistic Model for Brand Talent Demand Analysis Based on Text Mining
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58. Guest experience and unique accommodation features in Göreme, Cappadocia: An Airbnb review analysis
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59. Turning negative reviews into operational insights: ABSS-GPT’s role in informing hotel decisions
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60. A data-driven approach to identify the regions with the most popular businesses
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61. Social Context and Risk Perceptions in Food Truck Experiences
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62. Impact of AI, Machine Learning, and Big Language Models on Marketing Segmentation Strategies in Hospitality Businesses
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63. Navigating the metaverse: unravelling employees’ sentiments and satisfaction from metaverse-based training reviews
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64. System Issues and Requirements of Hotel Marketing Management
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65. Comparative Study on Online Review of Different Types of Hotel
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66. Big Data in Online Travel Agencies and Its Application Through Electronic Devices
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67. Study on the Hotel Customer Satisfaction Evaluation System——Based on Hangzhou High Star Hotel Reviews Data from Tripadvisor.com
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68. One Destination Two Images: A Social Media Text Analytics Approach to Uncovering Tourist Perceptions of Beijing
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69. A Corporate Social Responsibility View on Digital Disruption in Marketing
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70. EXPLORING BRAND POSITIONING AND HOTEL PERSONA TROUGH WOM AND CONTENT BY TEXT ANALYSIS
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71. COVID-19
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73. The Application of VR and AR in the Digital Preservation of Old City Cultural Elements
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74. Introduction of Social Media Platforms and Social Media Analytics for Social CRM
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75. Social Media as a Channel of Constructive Dialogue for Tourism Businesses
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76. Examples of secondary online data for raising awareness about geo and mining heritage
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78. Ukrainian Travel Media
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79. Service Management in the E-Tourism Era
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80. On a City Guide App Model
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81. Global Conference on Services Management: Volume 1
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83. Online review analysis : How to get useful information for innovating and improving products?
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