Social Media Analysis for Criminal Behavior Detection: Methods, Application and Challenge
Prachi Patel, Kush Bhushanwar, Hemlata Patel · 2025
Social media websites have provided rich contextual data but its misuse for criminal activities creates lot of problems. This paper seeks to solve the problem of criminal behavioral analysis on social media platforms using machine learning, deep learning and Natural Language Processing (NLP) methodologies. The goal is to assess the effectiveness of classification algorithms such as SVM, Navier Bayes, Random Forest, Convolutional Neural Network, Recurrent Neural Network, and the Natural Language Processing (NLP) methodology that include sentiment analysis, topic modelling and entity recognition for detecting irregularities. Specifically, this research study discusses about the recent progress in these methods while considering essential problems, including data accessibility, model flexibility, and the topic of ethics.