Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media

Adaptable Reduced-Complexity Approach Based on State Vector Machine for Identification of Criminal Activists on Social Media

Security agencies face an emerging challenge of identifying and counter the malicious contents spread on the social media by the terrorists. However, text classification techniques are limited by visualization, pre-processing, features extraction, and larger features space. Additionally, change in c...

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Bibliographic Details
Main Authors: Imran Shafi, Sadia Din, Zahid Hussain, Imran Ashraf, Gyu Sang Choi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Criminal intent prediction
feature dimensionality reduction
machine learning
feature extraction
Online Access:https://ieeexplore.ieee.org/document/9474480/
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