SMACk: An Argumentation Framework for Opinion Mining

Mauro Dragoni (1) , Célia da Costa Pereira (2) , Andrea G. B. Tettamanzi (3) , Serena Villata (3)

1 FBK - Fondazione Bruno Kessler [Trento, Italy]
2 Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
3 WIMMICS - Web-Instrumented Man-Machine Interactions, Communities and Semantics

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 ar-gumentation 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.

Mots clés: opinion mining; argumentation

Domaines: Intelligence artificielle [cs.AI]

Mauro Dragoni, Célia da Costa Pereira, Andrea G. B. Tettamanzi, Serena Villata. SMACk: An Argumentation Framework for Opinion Mining. International Joint Conference on Artificial Intelligence (IJCAI), Jul 2016, New York, NY, United States. pp.4242-4243. ⟨hal-01353931⟩