Science & Engineering Research Support soCiety (SERSC)
The increased use of social network services has led to an increase of availability of information. In addition, information found within SNS posts can be useful for victims in disaster-affected areas. However, a method for retrieving disaster-related information has not yet been created, thus making it difficult to find disaster-related information in SNS posts. Accordingly, this paper suggests a system which can provide efficient information when disasters occur. This system calculates three attributes of disasters. First, the Filtering module can search disaster related tweets. Moreover, it can extract the attributes of disasters systematically.