Opinion mining based Crime Classification Model for Emergency Data
A. Kalai selvan, B. Janet, Rahul Bhattacharjee, N. Sivakumaran · 2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV) · 2021
In India, there is a problem of reaction time in case of emergencies. Due to the problem of delayed reaction time during emergencies, it is important to discuss how we can use NLP to speed up the deployment of emergency services. This paper aims to classify a statement made by a caller to a Police Station in case of an emergency. We have four categories: Police, Ambulance, Fire Brigade, and Non-Crime. We will be analyzing the statements made by the caller during the phone call, which we will use to try to extract information and opinions regarding events that are happening, or have already occurred. This paper focuses on analyzing the statement made by the person and classify the statement, which will help to predict if the caller needs Police Assistance, Medical Assistance, or Fire Brigade Assistance, which will help in better decision making and will speed up the process of dispatching the required emergency service(s).