Emotion estimation based on dialog texts
Keita Kishima, Hirotake Yamazoe, Joo‐Ho Lee · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2020
In recent years, the use of 3DCG and 3D avatar has increased with the development of image processing technology in various digital contents. Motions in 3D avatars has become very complicated, and it takes a very long time to create them since they are made manually in most cases. In this study, estimating emotions from sentences for the purpose of generating 3D avatar motions automatically from the estimated emotion information and the semantic information of the sentences. Thereby, it can save a lot of time. As the first stage of the research, estimation of emotion from sentences such as dialog texts is investigated.