SMACk: An Argumentation Framework for Opinion Mining
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 4242-4242.
Abstract
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.
@inproceedings{ijcai2016p641,
title = {SMACk: An Argumentation Framework for Opinion Mining},
author = {Dragoni, Mauro and Pereira, Célia da Costa and Tettamanzi, Andrea and Villata, Serena},
booktitle = {Proceedings of the Twenty-Fifth International Joint Conference on
Artificial Intelligence, {IJCAI-16}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Subbarao Kambhampati},
pages = {4242--4242},
year = {2016},
month = {7},
url = {https://ijcai.org/proceedings/2016/641},
}
TY - CPAPER TI - SMACk: An Argumentation Framework for Opinion Mining AU - Dragoni, Mauro AU - Pereira, Célia da Costa AU - Tettamanzi, Andrea AU - Villata, Serena T2 - Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2016 SP - 4242 EP - 4242 UR - https://ijcai.org/proceedings/2016/641 ER -Copied
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