A System for Analysis, Visualization and Retrieval of Crime Documents

Abstract

In this paper, we present the demonstration of a system that helps in analytics and visualization of crime information extracted from large text repositories. Extraction of crime indicators is performed using a CNN-BiLSTM based multi-classification network. The system is equipped with a query and retrieval system that provides a user with insights about the crime patterns and statistics extracted from the underlying repository. It allows a user to browse through functionally related articles linked automatically by the system. The system also allows the user to deep dive into the repository and view several aggregated statistic along various dimensions.