Machine Learning-powered Job Offer Verification

In the modern world, technological developments and inventions have given us the ability to handle practically each aspect of our lives, including keeping track of money, education, job appearances, and security. But this reliance on technology has also made it easier for con artists to defraud people and gain quick money. Fake work notices are a specific approach that has recently become more common. Unsuspecting people submit applications for these fake job openings, handing over their personal information and paying the application fees to the con artists as though they were going to fall for the fraud and waste their hard-earned money. In this paper, the Natural Language Processing (NLP) approach is used to identify bogus job postings. We collected relevant information from job advertisements, after that we applied the random forest classifier to train and evaluate our model. The results we obtained show that our method can recognize fake job advertisements with a 97% accuracy rate.