Speech-balloon Shapes Estimation for Emotional Text Communication

Autor:	Yoko Nishihara, Junichi Fukumoto, Hideki Tanaka, Ryosuke Yamanishi
Rok vydání:	2017
Předmět:	Estimation Naive Bayes classifier business.industry Speech recognition Artificial intelligence Comics Psychology business computer.software_genre computer Natural language processing Focus (linguistics)
Zdroj:	Information Engineering Express. 3:1-10
ISSN:	2185-9892 2185-9884
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7c1c9ca92ceead262e32de9effcb4f88 https://doi.org/10.52731/iee.v3.i2.168 Zobrazit plný text záznamu