Mining Social Media for Open Innovation in Transportation Systems

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

Ulloa, D (Autor) Outra; Saleiro, P (Autor) Outra; Rosaldo J. F. Rossetti (Autor) FEUP; Silva, ER (Autor) Outra

Ata de Conferência Internacional

Título: IEEE 19th International Conference on Intelligent Transportation Systems: Proceedings

Páginas: 169-174

ITSC 2016 - 19th IEEE International Conference on Intelligent Transportation Systems

Rio de Janeiro, 1 de novembro de 2016

Indexação

ISI Web of Knowledge - 11 Citações

Scopus - 16 Citações

Outras Informações

ID Authenticus: P-00M-523

DOI: 10.1109/ITSC.2016.7795549

Abstract (EN): This work proposes a novel framework for the development of new products and services in transportation through an open innovation approach based on automatic content analysis of social media data. The framework is able to extract users comments from Online Social Networks (OSN), to process and analyze text through information extraction and sentiment analysis techniques to obtain relevant information about product reception on the market. A use case was developed using the mobile application Uber, which is today one of the fastest growing technology companies in the world. We measured how a controversial, highly diffused event influences the volume of tweets about Uber and the perception of its users. While there is no change in the image of Uber, a large increase in the number of tweets mentioning the company is observed, which meant a free and important diffusion of its product.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6