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INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016 open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15 |
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| Paper Title: | Online Suspect Verification System |
| Authors Name: | Sujit Kumar , Himanshu Ranjan , Aman Deep , Prema S |
| Unique Id: | IJSDR1705019 |
| Published In: | Volume 2 Issue 5, May-2017 |
| Abstract: | At present crime investigating departments use some of the old outdated file systems to view and analyze the crime details.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. |
| Keywords: | Crime, suspect, predict, Twitter, web-based |
| Cite Article: | "Online Suspect Verification System", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.2, Issue 5, page no.102 - 105, May-2017, Available :http://www.ijsdr.org/papers/IJSDR1705019.pdf |
| Downloads: | 000346980 |
| Publication Details: | Published Paper ID: IJSDR1705019 Registration ID:170361 Published In: Volume 2 Issue 5, May-2017 DOI (Digital Object Identifier): Page No: 102 - 105 Publisher: IJSDR | www.ijsdr.org ISSN Number: 2455-2631 |
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