1st International Workshop on
Emotion and Sentiment in Social and Expressive Media:
approaches and perspectives from AI
a workshop of AI*IA 2013 -25th Year Anniversary, Torino, Italy, December 3, 2013
Venue: C.so Trento 13, Torino. Room: Sala Rossa.
The Call for Papers for the Special Issue of the Information Processing and Management journal
on Emotion and Sentiment in Social and Expressive Media can be found here
Joint social event/exhibition at Lombroso 16 AIC 2013/ESSEM 2013
The ESSEM 2013 Proceedings are available on CEUR!
The program is now available!
Deadline closed. We thank all the authors (researchers & artists) of the 38 submissions for their contributions! Notification of acceptance moved to October 28th, 2013.
Due to several requests, the ESSEM submission system will remain open until September 30th
Deadine Extended to September 25th, 2013.
We are happy to announce that the Information Processing & Management journal (Elsevier) will publish a special issue containing extended versions of the best papers at ESSEM 2013, plus additional papers selected through an open CFP.
ESSEM 2013 is endorsed by the Working Group on Natural Language Processing of AI*IA
Keynote speaker: Carlo Strapparava, FBK: Creative Natural Language Processing
Download the 1st Call for Papers: PDF
Download the Call for Artworks: PDF
Social and expressive media can represent a challenge and a push forward for research on emotion and sentiment in AI. In fact, in such interaction contexts the subjective and expressive dimensions are predominant and open the way to the emergence of an affective component within a dynamic corpus of contents, created or enriched by users according to new paradigms of interactions fostering first-person engagement. This calls for delving into the evolution of approaches, techniques and tools for modeling and analyzing emotion and sentiment, with the aim of dealing with the cognitive and affective information conveyed by media reflecting spontaneous, multi-faceted and unstructured user responses. The workshop aims at bridging between communities of AI researchers working in the field of affective computing under different perspectives. Such perspectives include, on the one hand, research on models and techniques for sentiment analysis and opinion mining on linguistic corpora and unstructured data from social web; on the other hand, research on formal and cognitive models for the integration of emotional states in intelligent agents, or, in general, on the key role of emotions in multi-agent systems for what concerns both communication aspects and the definition of sophisticated emotion-aware coordination or negotiation strategies. We believe that cross-fertilization between different but related communities will be precious in order to face open challenges, in particular, the ones raised by the social and expressive media, such as:
- investigating advanced social aspects of emotions, i.e. regulative or ethic issues related to emotions in virtual agents;
- extracting concept-level sentiment conveyed by social media texts by relying on structured knowledge of affective information, i.e. affective categorization models expressed by ontologies, better still if psychologically motivated and encoded in the semantic web standards;
- cross-validation between sentiment-based approaches and cognitive models;
- fostering the interoperability and integration of tools by encouraging compliance with emerging standards.
