Authors: Kazuo Misue, Kiyohisa Taguchi
Abstract: Emotion-weather maps are some kinds of thematic maps to represent emotions. The maps represent spatial distributions of complex emotions of masses. Data of emotions have been extracted from social media. The data have some biases in some aspect of time, space, and categories of emotions. The biases obstructs observation of relatively few emotions. To address such problem, collected data are normalized. As a use case a sets of maps is presented. These maps represent distributions of emotions of an actual day. An earthquake on that day caused fear and surprise in a region in Japan.