Semantic social media analysis of Chinese tourists in Switzerland

Liu, Zhan (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Shan, Jialu (Global Center for Digital Business Transformation, International Institute for Management Development (IMD) Lausanne, Switzerland) ; Glassey Balet, Nicole (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Fang, Gang (School of Management, Hangzhou Dianzi University, China)

In recent years, Sina Weibo, a Twitter-like social network service in China, has attracted attention from scholars in the domain of information systems, as the spread and influence of users’ opinions are increasingly important, particularly in the tourism industry. This study examined the behaviors of Chinese tourists in Switzerland by adopting a semantic-based linked data methodology. A total of 103,778 Weibo messages shared with Swiss locations were collected between January 2013 and April 2015. We addressed questions about Chinese travelers’ profiles, trends in keywords, and differences between first time and repeat visitors. Moreover, we implemented a semantic search engine by employing linked data technologies to provide useful information about Chinese tourists in Switzerland, both for the tourism industry and individual tourists.


Mots-clés:
Type d'article:
scientifique
Faculté:
Economie et Services
Ecole:
HEG-VS
Institut:
Institut Informatique de gestion
Classification:
Economie/gestion
Date:
2017
Pagination:
16 p.
Veröffentlicht in
Information technology & tourism
Numérotation (vol. no.):
2017, vol. 17, no 2, pp. 183–202
DOI:
ISSN:
1098-3058
Le document apparaît dans:

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