A Crime Knowledge Discovery Scheme Based on Entity Recognition, Relation Extraction, and Development of Criminal Profiling Using Modus Operandi

In this paper, a criminal knowledge discovery scheme is proposed for analysing the crime situation in India. The approach pulls information regarding crime against women in Indian states and union territories from a sizable corpus of newspaper reports and then uses the retrieved corpus to identify named entities. India has experienced an increase in crime in recent years, and daily, several crime reports are published. However, it can be difficult to manually access the crime reports and extract relevant information that can aid in the analysis of crime trends by law enforcement. Even while there are many research on the analysis of crime patterns, relatively few of them include entity recognition, relation extraction, and features of modus operandi. This study focuses on phrase identification to discover the rules for determining modus operandi from police records. The effectiveness of the method is evaluated using precision and recall.