Host: Japan Society for Fuzzy Theory and Intelligent Informatics (SOFT)
Human behaviors have large influences on their own health and emotion. They have both aspects, good and bad one. To know these aspects made our daily life much more fruitful. Many of previous researches estimate and extract behavioral information using several sensors. But it is hard to extract some behavioral and emotional information using only sensory data. The authors focused on Twitter which spread rapidly these years. The users post their own behavioral and emotional information directly in the text format which is called tweet. We can extract users' behavioral and emotional information in real-time because the user posts at the moment when they are doing and feeling them. The handy characteristics of Twitter that is easy to post using a personal computer or a smartphone showed us the possibility of extracting human informal and real intention. In this study, we tried to extract behavioral and emotional information using not only sensory data but also Twitter. In addition, we analyze the influence on emotion by behavior using extracted information. We can apply this approach individually to know their personal tendencies of their thinking, feeling and doing.