2021
DOI: 10.1109/access.2021.3094532
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Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media

Abstract: In today's world, the security agencies has an emerging challenge to identify and counter the malicious contents spread on the social media by the terrorists. However, the text classification techniques have limitations like text visualization, pre-processing, features extraction, and larger features space. The objectives of the criminal users also change with time causing the learning models with additional tasking of identifying the altered malicious textual contents. In this paper, a simplified yet adaptabl… Show more

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Cited by 3 publications
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“…The comparison of values continues until it reaches the leaf node of the tree. DT model is selected based on the reported performance in existing literature [ 38 , 39 ]. Tree split criteria are important which determine the level of impurity and vary regarding classification and regression tasks.…”
Section: Methodsmentioning
confidence: 99%
“…The comparison of values continues until it reaches the leaf node of the tree. DT model is selected based on the reported performance in existing literature [ 38 , 39 ]. Tree split criteria are important which determine the level of impurity and vary regarding classification and regression tasks.…”
Section: Methodsmentioning
confidence: 99%