Geo-Spatial Crime Analysis Using Newsfeed Data in Indian Context

Author:

Boppuru Prathap Rudra1,Ramesha K. 2

Affiliation:

1. CHRIST (Deemed To be University), Bengaluru, India

2. Dr. Ambedkar Institute of Technology, Bangalore, India

Abstract

Social media is the platforms where users communicate, interact, share ideas, career interest, pictures, video, etc. Social media gives an opportunity to analyze the human behavior. Crime analysis using data from social media such as Newsfeeds, Facebook, Twitter, etc., is becoming one of the emerging areas of research for law enforcement organizations across the world. The intelligence gathered through data is used for identifying future attacks and plan for reinforcements. This article focuses on the implementation of textual data analytics by collecting the data from different newsfeeds and provides an optimized visualization. This article establishes a framework for better prediction of 16 types of crime in India and the Bangalore area by providing the coordinates of the crime area, along with the crime which might happen there.

Publisher

IGI Global

Subject

Computer Science Applications,Education

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Geospatial and Forecasting on Twitter Crime-A Review of Research;2023 Intelligent Computing and Control for Engineering and Business Systems (ICCEBS);2023-12-14

2. Debunking conventional wisdom: Higher tertiary education levels could lead to more property crimes in Malaysia;Cogent Social Sciences;2023-08-16

3. A Systematic Review of Multi-Scale Spatio-Temporal Crime Prediction Methods;ISPRS International Journal of Geo-Information;2023-05-23

4. Spatio-temporal Crime Analysis and Forecasting on Twitter Data Using Machine Learning Algorithms;SN Computer Science;2023-05-06

5. Geo-spatial crime density attribution using optimized machine learning algorithms;International Journal of Information Technology;2023-02

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3