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ID 113914
著者
Fujisawa, Akira Tokushima University
キーワード
emoticon
emotion recognition
character embedding
convolutional neural networks
資料タイプ
学術雑誌論文
抄録
This paper proposes a method for estimating the emotions expressed by emoticons based on a distributed representation of the character meanings of the emoticon. Existing studies on emoticons have focused on extracting the emoticons from texts and estimating the associated emotions by separating them into their constituent parts and using the combination of parts as the feature. Applying a recently developed technique for word embedding, we propose a versatile approach to emotion estimation from emoticons by training the meanings of the characters constituting the emoticons and using them as the feature unit of the emoticon. A cross-validation test was conducted for the proposed model based on deep convolutional neural networks using distributed representations of the characters as the feature. Results showed that our proposed method estimates the emotion of unknown emoticons with a higher F1-score than the baseline method based on character n-grams.
掲載誌名
Journal of Software
ISSN
1796217X
出版者
Academy Publisher
12
11
開始ページ
849
終了ページ
857
発行日
2017-11
権利情報
Open Access Journal
EDB ID
出版社版DOI
出版社版URL
フルテキストファイル
言語
eng
著者版フラグ
出版社版
部局
理工学系