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Gathering Medical Tourism Information through Algorithmic Text Analysis of Tweets

Gathering Medical Tourism Information through Algorithmic Text Analysis of Tweets

William Claster, Nader Ghotbi, Subana Shanmuganathan
Copyright: © 2015 |Pages: 16
ISBN13: 9781466685741|ISBN10: 1466685743|EISBN13: 9781466685758
DOI: 10.4018/978-1-4666-8574-1.ch013
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MLA

Claster, William, et al. "Gathering Medical Tourism Information through Algorithmic Text Analysis of Tweets." Current Issues and Emerging Trends in Medical Tourism, edited by Malcolm Cooper, et al., IGI Global, 2015, pp. 173-188. https://doi.org/10.4018/978-1-4666-8574-1.ch013

APA

Claster, W., Ghotbi, N., & Shanmuganathan, S. (2015). Gathering Medical Tourism Information through Algorithmic Text Analysis of Tweets. In M. Cooper, K. Vafadari, & M. Hieda (Eds.), Current Issues and Emerging Trends in Medical Tourism (pp. 173-188). IGI Global. https://doi.org/10.4018/978-1-4666-8574-1.ch013

Chicago

Claster, William, Nader Ghotbi, and Subana Shanmuganathan. "Gathering Medical Tourism Information through Algorithmic Text Analysis of Tweets." In Current Issues and Emerging Trends in Medical Tourism, edited by Malcolm Cooper, Kazem Vafadari, and Mayumi Hieda, 173-188. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-8574-1.ch013

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Abstract

Informed use of medical tourism services depends on an up-to-date knowledge of the available services, and their costs and risks at various potential destinations. Such information can also assist in the competitive development of healthcare services. Innovation, product development, and health user relationship management by medical service providers is enhanced, as is knowledge base construction and management. This chapter shows that new forms of social media can provide valuable and previously difficult to obtain real-time knowledge on medical tourists' perceptions, concerns, and sentiment towards medical tourism destinations - both those already visited by other users and those under consideration for a possible visit. We show how analysis of comments from such social media as Twitter micro-blogs can be used to reveal potential and recent medical tourism motivations in the medical services markets in various locations.

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