Data visualization for big data : comparison of three text analysis tools

Kim, Bona (Department of Business Administration and Tourism and Hospitality Management, Mount Saint Vincent University) ; Heo, Cindy Yoonjoung (Ecole hôtelière de Lausanne, HES-SO // University of Applied Sciences Western Switzerland) ; Drapé-Frisch, Laetitia (Ecole hôtelière de Lausanne, HES-SO // University of Applied Sciences Western Switzerland)

Tourism is a data rich domain and the tourism industry is one of the core areas where effective use of data analytics can change the way business is done. Tourism businesses have recognized the importance of big data analysis, but they face an incredible volume and variety of data to work with. Although the amount of data available today is increasing exponentially, organizations easily get confused by the complexity of data. Data visualization makes huge amounts of data more accessible and understandable and helps to communicate complex information more accurately and effectively. Therefore, this study attempts to discuss how to utilize user-generated data in the tourism industry by comparing the results of three text analysis tools.


Type de conférence:
full paper
Faculté:
Economie et Services
Ecole:
EHL Ecole hôtelière de Lausanne
Classification:
Economie/gestion
Adresse bibliogr.:
Busan, South Korea, 18-21 June 2017
Date:
Busan, South Korea
18-21 June 2017
2017
Pagination:
8 p.
Publié dans
Proceedings of the 23rd Asia Pacific Tourism Association (APTA) Annual Conference 2017
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Note: The status of this file is: restricted


 Notice créée le 2017-10-27, modifiée le 2018-08-31

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