Mineração de conteúdos em mídias sociais: uma construção metodológica

• Autor(a) principal: Thomaz, Guilherme Mendes
• Data de Publicação: 2014
• Outros Autores: Bettoni, Eduardo Michelotti, Biz, Alexandre Augusto, Santos, Clara Kamila Batista
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: https://doi.org/10.34624/rtd.v2i21/22.11547

The present paper aims to present social media content mining methodologies, its challenges and analyze Knowledge Discovery in Databases (KDD) models. Social media has brought significant changes in tourism, particularly the User Generated Content (UGC). With the exponential growth of online data, social media has become a potential source of relevant information and knowledge to organizational decision making. In this scenario, content mining is considered a challenging activity that requires the development of new techniques and tools to collect and transform in a fast and automated manner, a large volume of data into knowledge. This exploratory study was grounded in papers and researches of Science and Information Management, Information Systems, Technology and Internet, Computer Science, InformationRetrieval and Data Mining areas. The result was the development of a social media content mining methodology to assist in the management of tourist destinations.