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What is A Robust Hybrid Machine Learning Pipeline For Identifying Job Scams Online about?

This research article presents a hybrid machine learning system designed to identify fraudulent job postings on online recruitment platforms, addressing the rise of job scams that lead to identity theft and financial fraud. The system analyzes job-related inputs in various formats, utilizing algorithms such as Naïve Bayes, Random Forest, SVM, and XGBoost to classify listings with high accuracy. By providing a user-friendly interface and robust detection capabilities, the proposed solution aims to enhance jo

Author

pirzahoor

Language

EN