Abstract
These days, online communication tools, such as e-mail, bulletin board systems, and social network services, are frequently used in our daily lives. Especially, bulletin board systems are used not only as communication tools but also as knowledge database that includes conclusions of discussion. herefore, opinion exchange and information retrievals should be supported so that we can take part in a communication comfortably and see effective information within a good mood. However, some bulletin board systems may be in a bad mood because of anonymous comments that hurt other user's mind. In this paper, a system that identifies communication moods in bulletin board systems is proposed. The system evaluates moods in sequential comments related to each topic and outputs those to users. We can easily find communication in good moods or in bad moods by seeing output of the system.
