2 research outputs found
Determination of Potential Criminals in Social Network
This paper proposes a new approach to determine potential criminals by
performing content analysis on Tweets. The analysis is done with the
help of machine learning technologies and big data analysis. In this
study, we have utilized from the MLP algorithm. A dataset consisting of
384 words are used to make the classification process. Dataset consist
of two classes that are organized crime and cyber-crimes. In the
analysis process, date, time, location values of sent twitter sharings
are also used. Criminals can be detected with a success rate of 71,61\%.
Also, the developed system identifies potential criminals who commit an
offence of organized crime and cybercrime with the world's most widely
used social media. User can use the system to get accurate results for
scanning potential criminals with analyzing their sharings or scanning
keywords to reach potential criminals. In addition to this property,
user can get results that are more accurate with narrowing the content
screening with location and date information. It is thought that the
proposed system might help to find criminals and the security forces can
easily detect them by the developed software