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CAO : A Fully Automatic Emoticon Analysis System

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タイトル: CAO : A Fully Automatic Emoticon Analysis System
著者: Michal, Ptaszynski 著作を一覧する
Jacek, Maciejewski 著作を一覧する
Pawel, Dybala 著作を一覧する
Rafal, Rzepka 著作を一覧する
Kenji, Araki 著作を一覧する
発行日: 2010年
出版者: AAAI
誌名: Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI-10)
開始ページ: 1026
終了ページ: 1032
抄録: This paper presents CAO, a system for affect analysis of emoticons. Emoticons are strings of symbols widely used in text-based online communication to convey emotions. It extracts emoticons from input and determines specific emotions they express. Firstly, by matching the extracted emoticons to a raw emoticon database, containing over ten thousand emoticon samples extracted from the Web and annotated automatically. The emoticons for which emotion types could not be determined using only this database, are automatically divided into semantic areas representing "mouths" or "eyes", based on the theory of kinesics. The areas are automatically annotated according to their co-occurrence in the database. The annotation is firstly based on the eyemouth- eye triplet, and if no such triplet is found, all semantic areas are estimated separately. This provides the system coverage exceeding 3 million possibilities. The evaluation, performed on both training and test sets, confirmed the system's capability to sufficiently detect and extract any emoticon, analyze its semantic structure and estimate the potential emotion types expressed. The system achieved nearly ideal scores, outperforming existing emoticon analysis systems.
資料タイプ: proceedings
URI: http://hdl.handle.net/2115/63633
出現コレクション:雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

提供者: Rafal Rzepka

 

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