{"title":"Exploring emotional aspects of travel concepts via travel photos based on contrastive language-image pretraining","authors":"Huy Quan Vu , Baobao Song , Gang Li , Rob Law","doi":"10.1016/j.tourman.2024.105117","DOIUrl":null,"url":null,"abstract":"<div><div>Understanding travel concepts and their associated emotions is beneficial for promoting tourism destinations and attracting travelers seeking specific emotional experiences. However, few studies in tourism literature have explored the emotional aspects of travel concepts, likely due to the abstract nature of emotion, which makes capturing and analyzing emotions challenging. This paper introduces a novel method for the effective exploration of emotions associated with travel concepts through travel photos to address this gap. By leveraging a state-of-the-art computer vision technique, Contrastive Language-Image Pretraining, our method can uncover various travel concepts and their associated emotions. We demonstrate the method's effectiveness through a case study of Australia, analyzing 436,177 photos shared by 9457 users. The method and its findings are valuable for researchers and tourism managers, offering insights into the emotional aspects of travel concepts for use in tourism marketing and other applications.</div></div>","PeriodicalId":48469,"journal":{"name":"Tourism Management","volume":"108 ","pages":"Article 105117"},"PeriodicalIF":10.9000,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Tourism Management","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S026151772400236X","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL STUDIES","Score":null,"Total":0}
引用次数: 0
Abstract
Understanding travel concepts and their associated emotions is beneficial for promoting tourism destinations and attracting travelers seeking specific emotional experiences. However, few studies in tourism literature have explored the emotional aspects of travel concepts, likely due to the abstract nature of emotion, which makes capturing and analyzing emotions challenging. This paper introduces a novel method for the effective exploration of emotions associated with travel concepts through travel photos to address this gap. By leveraging a state-of-the-art computer vision technique, Contrastive Language-Image Pretraining, our method can uncover various travel concepts and their associated emotions. We demonstrate the method's effectiveness through a case study of Australia, analyzing 436,177 photos shared by 9457 users. The method and its findings are valuable for researchers and tourism managers, offering insights into the emotional aspects of travel concepts for use in tourism marketing and other applications.
期刊介绍:
Tourism Management, the preeminent scholarly journal, concentrates on the comprehensive management aspects, encompassing planning and policy, within the realm of travel and tourism. Adopting an interdisciplinary perspective, the journal delves into international, national, and regional tourism, addressing various management challenges. Its content mirrors this integrative approach, featuring primary research articles, progress in tourism research, case studies, research notes, discussions on current issues, and book reviews. Emphasizing scholarly rigor, all published papers are expected to contribute to theoretical and/or methodological advancements while offering specific insights relevant to tourism management and policy.