A System for Analysis, Visualization and Retrieval of Crime Documents

Autor:	Lipika Dey, Abir Naskar, Rupsa Saha, Tirthankar Dasgupta
Rok vydání:	2020
Předmět:	Information visualization Information retrieval Artificial neural network Analytics business.industry Computer science business Deep dive Statistic Visualization
Zdroj:	COMAD/CODS
DOI:	10.1145/3371158.3371405
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ee832ba7a1b5bce361c31f9af834fbc2 https://doi.org/10.1145/3371158.3371405 Zobrazit plný text záznamu