Title:	AN ARCHITECTURE FOR A CONTINUOUS AND EXPLORATORY ANALYSIS ON SOCIAL MEDIA
Author(s):	Diogo Cunha, Nuno Guimarães and Álvaro Figueira
ISBN:	978-989-8533-66-1
Editors:	Yingcai Xiao and Ajith P. Abraham
Year:	2017
Edition:	Single
Keywords:	Architecture, Relevancy Detection, Social Media, Analysis Tools, User Interface, Big Data, Data Mining
Type:	Reflection Paper
First Page:	339
Last Page:	342
Language:	English
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Paper Abstract:	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.
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