Paper Title

Online Suspect Verification System

Authors

Sujit Kumar , Himanshu Ranjan , Aman Deep , Prema S

Keywords

Crime, suspect, predict, Twitter, web-based

Abstract

At present crime investigating departments use some of the old outdated file systems to view and analyze the crime details. There are many situations in which data about criminals should be shared with other police stations. When one police station requires any criminal information during their investigations, they need to call at that police station and get it, which is time consuming and require manpower. Also, citizens cannot get any information about criminals and the status of any crime investigation case. Our web based application provides an easy to use platform for the investigating departments concerned with the case in finding the prime suspect. It allows individual investigation teams in different locations to keep track and coordinate on cases. Also, it provides an easy to use interface for general public to submit evidences with respect to specific cases and check the status of any ongoing investigations. It extracts information from huge volume of data entered by the officers/general public in the social networking websites such as Twitter as well as our system. The data extracted is unstructured data and is converted into structured data which is analyzed and frequency of negative words with respect to each suspect is generated. Based on this, the probability of suspects in a crime is generated and the suspect who is having highest frequency of negative words is predicted as the prime suspect.

How To Cite

"Online Suspect Verification System", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.102 - 105, May-2017, Available :https://ijsdr.org/papers/IJSDR1705019.pdf

Issue

Volume 2 Issue 5, May-2017

Pages : 102 - 105

Other Publication Details

Paper Reg. ID: IJSDR_170361

Published Paper Id: IJSDR1705019

Downloads: 000347033

Research Area: Engineering

Country: Tumakuru, Karnataka, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705019

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705019

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

Article Preview

academia
publon
sematicscholar
googlescholar
scholar9
maceadmic
Microsoft_Academic_Search_Logo
elsevier
researchgate
ssrn
mendeley
Zenodo
orcid
sitecreex