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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), 786-801.

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LUIS DB Content Mining Framework in Social Media_03Out16.pdf - Accepted Version
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DOI: 10.1016/


© 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
Uncontrolled Keywords:Social Media; Content Mining; Twitter; Tourist Services; Brazil; FIFA World Cup 2014.
Group:Bournemouth University Business School
ID Code:26933
Deposited By: Symplectic RT2
Deposited On:07 Feb 2017 16:50
Last Modified:14 Mar 2022 14:02


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