Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Khanna, Shivi; Tulasi, B.; Nagarjuna, G.; Sarkar, Bidisha Title A name given to the resource Implication of big data in hospitality with special reference to ecoresorts in Karnataka Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Digital Disruption in Hospitality, Sustainable Hospitality: A Global Perspective on People, Planet, and Profit;pp.167-186 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1108/978-1-83662-360-120251008" target="_blank" rel="noreferrer noopener">https://doi.org/10.1108/978-1-83662-360-120251008</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105009776182?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105009776182?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Khanna S., Christ University, India; Tulasi B., Christ University, India; Nagarjuna G., Christ University, India; Sarkar B., Christ University, India Description An account of the resource Big data with its velocity has revolutionized several industries, and the hospitality industry is no exception. Operational efficiency and services of ecoresorts can always be improved with customer reviews, and big data provide unprecedented opportunities toimplement it. Socialmedia has alwaysbeen instrumental in capturing customer feedback and understanding booking patterns. On this note, it has been aimed to understand the visitors' sentiment and to identify satisfactory indicators for this business. In this scholarly work, Tripadvisor website has been adopted as the collection platform. A total of 15 resorts with 7,235 reviews have been considered for the same. It has been intended to capture up-to-date data available till April 2024. The five-stage model has been considered for the smooth execution of the analysis which includesweb scraping for data extraction, data pre-processing, data storage, sentiment analysis, and understanding key insights. More specifically, with the help of Natural Language Processing (NLP), text analytics was executed to understand customers' sentiments. In total,150 high-frequencywords have been captured.The outcome of the study also revealed nine satisfactory indicators and those are "Variety of Experiences"; "Quality of Accommodation"; "Quality of Food"; "Cleanliness of the Resort"; "Level of Service by Staff"; "Service Staff were Helpful"; "Natural Environment of the Resort"; "Safety and Security;" and "Good Opportunities to enjoy local Cuisine". 2025 Shivi Khanna, Tulasi B., Nagarjuna G. and Bidisha Sarkar. All rights reserved. Subject The topic of the resource Big data; Ecoresorts; NLP; Sentiment analysis; Trip advisor; Visitors' sentiment Publisher An entity responsible for making the resource available Emerald Publishing Relation A related resource ISBN: 978-183662360-1; 978-183662361-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online