Speech-balloon Shapes Estimation for Emotional Text Communication

Ryosuke Yamanishi, Hideki Tanaka, Yoko Nishihara, Junichi Fukumoto

Abstract


The purpose of this study is to visualize speech nuance using speech-balloon shapes in text-based communication. Though speech nuance disappears in a text communication, comic readers can recognize speech nuance from the speech-balloon shape, which expresses nuances, emotions, and intentions. Through the subjective evaluation experiments, we confirmed that the shapes of speech-balloon changed the emotion towards the phrases. In this paper, we focus on the relationships between the linguistic features of speech and speech-balloon shapes, and developed an estimation model for speech-balloon shapes with the linguistic features using Naive Bayes classifier. The effectiveness was confirmed especially in the estimation of ``Explosion'' and ``Wave'' shapes. The proposed method is expected to be used to visually represent a speech nuance that contains emotion in a text-based communication such as chat system and social networking service.


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