Geo-spatial crime analysis using newsfeed data in indian context

Title

Geo-spatial crime analysis using newsfeed data in indian context

Creator

Boppuru P.R.; Ramesha K.

Description

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. 2019, IGI Global.

Source

International Journal of Web-Based Learning and Teaching Technologies, Vol-14, No. 4, pp. 49-64.

Date

2019-01-01

Publisher

IGI Global

Subject

Crime; Crime Analysis; Crime Prediction; Law Enforcement; Newsfeed Crime Data; Predictive Analysis; Social Media

Coverage

Boppuru P.R., CHRIST (Deemed to Be University), Bengaluru, India; Ramesha K., Dr. Ambedkar Institute of Technology, Bangalore, India

Rights

Restricted Access

Relation

ISSN: 15481093

Format

Online

Language

English

Type

Article

Identifier

https://doi.org/10.4018/IJWLTT.2019100103

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071275120&doi=10.4018%2fIJWLTT.2019100103&partnerID=40&md5=5f63676498e3fe9aef7557925f97e89f