Crime prevention application using social data

Abstract

Recently big data based crime prevention system has been utilized by the central government. Such systems play the role of minimizing occurrences of crime and stabilizing public order by predicting time and place of the crime through analysis of crime-related diverse data. However there are still institutional limitations and security issues to apply such crime prevention systems to general public. This paper aims to collect crime-related information from social data such as SNS as well as information and media publicized on the private level and to create data for crime prevention by implementing the LDA topic modeling. ©2016 International Information Institute.