Online Suspect Verification System
Sujit Kumar
, Himanshu Ranjan , Aman Deep , Prema S
Crime, suspect, predict, Twitter, web-based
At present crime investigating departments use some of the old outdated file systems to view and analyze the crime details.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.
"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
Volume 2
Issue 5,
May-2017
Pages : 102 - 105
Paper Reg. ID: IJSDR_170361
Published Paper Id: IJSDR1705019
Downloads: 000347033
Research Area: Engineering
Country: Tumakuru, Karnataka, India
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