An architecture for a continuous and exploratory analysis on social media

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2017

Autores

Cunha, D (Autor) Outra; Guimarães, N (Autor) Outra; Figueira, A (Autor) FCUP

Ata de Conferência Internacional

Título: Proceedings of the International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing 2017 and Big Data Analytics, Data Mining and Computational Intelligence 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017

Páginas: 339-342

11th International Conferences on Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2017 and International Conference on Big Data Analytics, Data Mining and Computational Intelligence, BigDaCI 2017

21 July 2017 through 23 July 2017

Indexação

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00N-G0P

Abstract (EN): Social networks as Facebook and Twitter gained a remarkable attention in the last decade. A huge amount of data is emerging and posted everyday by users that are becoming more interested in and relying on social network for information, news and opinions. Real time posting came to rise and turned easier to report news and events. However, due to its dimensions, in this work we focus on building a system architecture capable of detecting journalistic relevance of posts automatically on this 'haystack' full of data. More specifically, users will have the change to interact with a 'friendly user interface' which will provide several tools to analyze data. © 2017.

Idioma: Inglês

Tipo (Avaliação Docente): Científica