Sentiment Analysis in the Planet Art: A Case Study in the Social Semantic Web

Abstract

Affective computing is receiving increasing attention in many sectors, ranging from advertisement to politics. Its application to the Planet Art, however, is quite at its beginning, especially for what concerns the visual arts. This work, set in a Social Semantic Web framework, explores the possibility of extracting rich, emotional semantic information from the tags freely associated to digitalized visual artworks, identifying the prevalent emotions that are captured by the tags. This is done by means of ArsEmotica, an application software that we developed and that combines an ontology of emotional concepts with available computational and sentiment lexicons. Besides having made possible the enrichment of the ontology with over four-hundred Italian terms, ArsEmotica is able to analyse the emotional semantics of a tagged artwork by working at different levels: not only it can compute a semantic value, captured by tags that can be directly associated to emotional concepts, but it can also compute the semantic value of tags that can be ascribed to emotional concepts only indirectly. The results of a user study, aimed at validating the outcomes of ArsEmotica, are reported and commented. They were obtained by involving the users of the same community which tagged the artworks. It is important to observe that the tagging activity was not performed with the aim of later applying some kind of Sentiment Analysis, but in a pure Web 2.0 approach, i.e. as a form of spontaneous annotation produced by the members of the community on one another's artworks.

From tags to emotions: Ontology-driven sentiment analysis in the social semantic web

“…The collected results show a clear correlation between the emotions chosen by the users and those extracted by the ArsEmotica system. Experimental results are described and analysed in details in [3].…”

“…For sake of simplicity, in the current prototype we did not process composite tags 3. The whole set of artworks can be seen at http://di.unito.it/arsemocorpus.…”

Tagging

“…Affective computing is receiving increasing attention in many sectors. Its application to the Planet Art, however, is quite at its beginning [9,5,6]. In the last years, many museums and cultural heritage institutions opened their collections and archives for access on the web (see e.g.…”

“…In this paper we study how to apply Sentiment Analysis to the Planet Art, by exploiting, as information source, tags intended as textual traces that the visitors leave for commenting artworks on social platforms. In particular, we present our new achievements within the ArsEmotica framework [5,6], where the focus is on methods to extract, from the floating individual meanings and reactions of the visitors of a collection, a shared emotional semantics. In previous work [5,6], we have presented, and evaluated by user study, application software that analyzes tagged artworks from a social tagging platform and provides as output, for each artwork, a set of related emotions.…”

“…In particular, we present our new achievements within the ArsEmotica framework [5,6], where the focus is on methods to extract, from the floating individual meanings and reactions of the visitors of a collection, a shared emotional semantics. In previous work [5,6], we have presented, and evaluated by user study, application software that analyzes tagged artworks from a social tagging platform and provides as output, for each artwork, a set of related emotions. Such emotions emerge as the most significant ones for capturing the users emotional responses toward that resource.…”