Machine Learning based Detection of Cyber Crime Hub Analysis using Twitter Data

Online Social Network Platform is the hub of criminal activities. Among them twitter is the most popular one containing millions of media contents and thus can be used for crime analysis. In this research, a system for detecting Cyber Crime Hub in India, specifically Jamtara, is created. The design shows the criminal alert zones based on the name of crime incident reported. The proposed approach employs sigmoid kernel, support vector machine (SVM) classification. According to this analysis, Rate of Accuracy is 97.12 Percent (libSVM), which is greater by 3.12 percent(mySVM) as evaluation results of the proposed system in comparison to Data collected from Government site for Cyber crime analytics the system shows the statistics of cyber crime cases.