Proceedings Abstracts of the Twenty-Fifth International Joint Conference on Artificial Intelligence

SMACk: An Argumentation Framework for Opinion Mining / 4242
Mauro Dragoni, Célia da Costa Pereira, Andrea G.B. Tettamanzi, Serena Villata

The extraction of the relevant and debated opinions from online social media and commercial websites is an emerging task in the opinion mining research field. Its growing relevance is mainly due to the impact of exploiting such techniques in different application domains from social science analysis to personal advertising.In this demo, we present our opinion summary application built on top of an argumentation framework, a standard AI framework whose value is to exchange, communicate and resolve possibly conflicting viewpoints in distributed scenarios. We show how our application is able to extract relevant and debated opinions from a set of documents containing user-generated content from online commercial websites.