Development of Emoticon Database for Affect Analysis in Japanese
Michal Ptaszynski, Pawel Dybala, Radoslaw Komuda, Rafal Rzepka and Kenji Araki
Proceedings of The 2010 International Symposium on Global COE Program of Center for Next-Generation Information Technology Based on Knowledge Discovery and Knowledge Federation (GCOE-NGIT 2010), Sapporo, Japan, Jan 18-20, pp. 203-204, 2010.
In this paper we present our work on creating a database of emoticons – face marks widely used to convey emotions in text-based online communication. The database is created by gathering emoticons from numerous dictionaries of face marks and online jargon. The inconsistencies in emotion classification provided by various dictionaries are solved by processing them with an affect analysis system developed previously. Having the emoticon database annotated automatically this way, we extract patterns from it patterns of semantic areas of emoticons, such as ―eyes‖ and ―mouths‖. Finally, we perform annotation of the semantic areas based on co-occurrence statistics and the theory of kinesics.
Bacteria Lingualis In The Knowledge Soup - A Webcrawler With Affect Recognizer For Acquiring Artificial Empathy
Rafal Rzepka, Radoslaw Komuda and Kenji Araki
The AAAI 2009 Fall Symposium on Biologically Inspired Cognitive Architectures (BICA-09), Washington, D.C., USA, November 5 - 7, 2009.