An architecture for a continuous and exploratory analysis on social media

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Cunha, D (Author) Other; Guimarães, N (Author) Other; Figueira, A (Author) FCUP

Conference proceedings International

Title: 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

Pages: 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

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific