SMACk: an argumentation framework for opinion mining

作者: Andrea G. B. Tettamanzi , Serena Villata , Mauro Dragoni , Célia Da Costa Pereira

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

参考文章(3)
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