Development of Emoticon Database for Affect Analysis in Japanese
نویسندگان
چکیده
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.
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