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

This data was imported from DBLP:

Authors: Thomaz, G.M., Biz, A.A., Bettoni, E.M., Mendes-Filho, L. and Buhalis, D.

http://eprints.bournemouth.ac.uk/26933/

Journal: Information & Management

Volume: 54

Pages: 786-801

This data was imported from Scopus:

Authors: Thomaz, G.M., Biz, A.A., Bettoni, E.M., Mendes-Filho, L. and Buhalis, D.

http://eprints.bournemouth.ac.uk/26933/

Journal: Information and Management

Volume: 54

Issue: 6

Pages: 786-801

ISSN: 0378-7206

DOI: 10.1016/j.im.2016.11.005

© 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.

This data was imported from Web of Science (Lite):

Authors: Thomaz, G.M., Biz, A.A., Bettoni, E.M., Mendes-Filho, L. and Buhalis, D.

http://eprints.bournemouth.ac.uk/26933/

Journal: INFORMATION & MANAGEMENT

Volume: 54

Issue: 6

Pages: 786-801

eISSN: 1872-7530

ISSN: 0378-7206

DOI: 10.1016/j.im.2016.11.005

The data on this page was last updated at 05:14 on July 22, 2019.