Content mining framework in social media: A FIFA world cup 2014 case analysis.

Thomaz, G.M., Biz, A.A., Bettoni, E.M., Mendes-Filho, L. and Buhalis, D., 2017. Content mining framework in social media: A FIFA world cup 2014 case analysis. Information and Management, 54 (6), pp. 786-801.

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DOI: 10.1016/j.im.2016.11.005

Abstract

© 2016 Elsevier B.V.This paper proposes a social media content mining framework that consists of seven phases. The framework was tested empirically during the FIFA World Cup 2014 at Curitiba (Brazil) as one of the main host city destinations. The research focused on the mining of Twitter content with tourist services ontology (hospitality, food and beverages, and transportation). In total, 58,686 valid messages were collected, analyzed, and associated with an application ontology. Content analysis demonstrated an accurate real-time reflection of tourism services. The framework is effective to collect relevant content and identify popular topics in social media toward strategic and operational tourism management.

Item Type:Article
ISSN:0378-7206
Uncontrolled Keywords:Social Media; Content Mining; Twitter; Tourist Services; Brazil; FIFA World Cup 2014.
Group:Faculty of Management
ID Code:26933
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:07 Feb 2017 16:50
Last Modified:10 Oct 2017 15:20

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