Customers’ metaverse service encounter perceptions: sentiment analysis and topic modeling

IF 11.9 1区管理学 Q1 BUSINESS

Journal of Hospitality Marketing & Management Pub Date : 2024-07-29 DOI:10.1080/19368623.2024.2383455

S. Jerrin Issac Sam, K. Mohamed Jasim, Manivannan Babu

引用次数: 0

Abstract

Using machine learning, we examined customers’ opinions about the metaverse in the hospitality industry (encompassing hotels, restaurant, gaming, virtual events, tours and travel). A total of 8,855...

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客户的元服务遭遇感知：情感分析和主题建模

我们利用机器学习研究了顾客对酒店业（包括酒店、餐饮、游戏、虚拟活动、旅游和旅行）中的元宇宙的看法。共有 8,855...

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来源期刊

Journal of Hospitality Marketing & Management Multiple-

CiteScore

20.90

自引率

6.40%

发文量

期刊介绍： The Journal of Hospitality Marketing & Management serves as a peer-reviewed platform dedicated to advancing understanding, practice, and education in hospitality marketing and management. It strives to foster the development of knowledge and theory by promoting new ideas, models, approaches, and paradigms. Embracing a multifaceted approach that spans administrative disciplines, liberal arts, and social sciences, the journal disseminates knowledge through high-quality, peer-reviewed research papers, reports, and book reviews. It stands as a unique forum for the community of students, academics, and practitioners who share a common interest and commitment to the field of hospitality marketing and management.