Data Mining Regarding Cyberbullying in the Arabic Language on Instagram Using KNIME and Orange Tools

This paper deals with data mining on verbal bullying by Instagram users. It tracks people who repeatedly have abusive behavior and may cause harm to other persons or groups. In this work, a dataset holding in the Arabic language was extracted from comments, entries were classified as regular suspicious bullying. KINIME Orange open source tools utilized discover comments that involved delete previous while users sent their automatically immediately. Classification algorithms Rule-Based KNIME Select Rows used.