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Affective computing is receiving increasing attention in many sectors, ranging from advertisement to politics. This work, set in a Social Semantic Web framework, presents ArsEmotica, an application software for associating the predominant emotions to artistic resources of a social tagging platform. Our aim is to extract a rich emotional semantics (i.e. not(More)
This work presents ArsEmotica, an application software that aims at extracting a rich emotional semantics (i.e. not limited to a positive or a negative reception) of tagged resources. We worked on a subset of artworks supplied by the art portal ArsMeteo, and focussed the sentiment analysis on the collections of tags related to artworks. Our approach(More)
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