Prediction of Fake Job Ad Using NLP-Based Multilayer Perceptron

Today, developments in business and technology offer new opportunities and many job opportunities to job seekers. With the help of these job advertisements, job seekers find their options according to their availability, qualifications, experience, qualifications, etc. Since the success of recruitment depends on advertisements, social media has a great impact on this. Media and electronic media are created new and innovative to share the content of the job. On the contrary, the rapid development of opportunities to post job advertisements has increased the percentage of fake job advertisements, thus increasing the harassment of job seekers. Therefore, there is no interest in new job advertisements due to the need to maintain the security and consistency of personal, educational and professional information. Therefore, the real incentive to effectively distribute recruitment information through social and electronic media faces great difficulty in gaining people’s trust and confidence.