Content mining framework in social media: A FIFA world cup 2014 case analysis
Autor: | Eduardo Michelotti Bettoni, Guilherme Mendes Thomaz, Dimitrios Buhalis, Alexandre Augusto Biz, Luiz Mendes-Filho |
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Jazyk: | angličtina |
Rok vydání: | 2017 |
Předmět: |
Information Systems and Management
Reflection (computer programming) Knowledge management business.industry 05 social sciences Hospitality management studies Advertising Destinations Ontology (information science) Management Information Systems Content analysis Hospitality 0502 economics and business 050211 marketing Social media Business 050212 sport leisure & tourism Tourism Information Systems |
ISSN: | 0378-7206 |
Popis: | © 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. |
Databáze: | OpenAIRE |
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