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ID 113914
Author
Fujisawa, Akira Tokushima University
Keywords
emoticon
emotion recognition
character embedding
convolutional neural networks
Content Type
Journal Article
Description
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.
Journal Title
Journal of Software
ISSN
1796217X
Publisher
Academy Publisher
Volume
12
Issue
11
Start Page
849
End Page
857
Published Date
2017-11
Rights
Open Access Journal
EDB ID
DOI (Published Version)
URL ( Publisher's Version )
FullText File
language
eng
TextVersion
Publisher
departments
Science and Technology