SNS 기반 재난 정보 추출 및 속성 결정을 위한 의사결정지원 시스템 개발

Abstract

When disasters are occurred, people had to get information of disasters from the government branch such as the Meteorological Administration. However, people cannot cope with the disaster situation quickly Because the information is delivered as on-way communication. To improve amount of the disaster-related information, the method and system of extraction information from Social Network Services(SNS) are suggested in this thesis. The system provides disaster-related information by keyword and tag search. The keyword in this thesis is defined as the search word using the standard classification from the Natural Emergency Management Agency. In addition, the tag in is defined as the speaking words in the disaster-related SNS. The search module performs with keyword and tag search connected. The system also provides attributes of the disasters from the tweet. One disaster-related tweet can include three attributes. For determining the disaster type and location, this system analyzes the tweet message, for determining the risk level, it analyzes the message and attached photo.