犯罪文献分析、可视化与检索系统

Rupsa Saha, Abir Naskar, Tirthankar Dasgupta, Lipika Dey
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引用次数: 1

摘要

在本文中,我们展示了一个系统的演示,该系统有助于分析和可视化从大型文本存储库中提取的犯罪信息。使用基于CNN-BiLSTM的多分类网络进行犯罪指标的提取。该系统配备了查询和检索系统,为用户提供有关从底层存储库提取的犯罪模式和统计数据的见解。它允许用户浏览由系统自动链接的功能相关文章。该系统还允许用户深入到存储库中,并沿着不同的维度查看几个汇总的统计信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A System for Analysis, Visualization and Retrieval of Crime Documents
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.
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