Fake Job Posting Detector

The proposed Fake Job Posting Detector system combines the advantages of Natural Language Processing and Machine Learning techniques to detect fake job postings with high accuracy. The system can predict the potential fraud associated with the job posting by analyzing the description of the jobs, the company’s profile, and the language used. The experi-mental results show the reliability of the system for different categories of jobs. The system’s potential to provide real-time alerts for fraud can be useful to incorporate into various job portals, providing an effective solution to combat the problem of online job scams.

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