Fake News Detection Using ML and DL Approaches

Abstract

Advances in industry and technology have created numerous new work opportunities for job seekers and the unemployed. The number of job openings advertised on the internet has also increased. It takes time and effort to apply for a job online. It may also cause concern because they have access to our personal, professional, and academic data. As a result, it is critical to determine whether the job we are looking for is legitimate or not. This model is being developed to detect bogus job postings. We employed Deep Neural Network in this project. For comparison, Machine learning algorithms like K Nearest Neighbour, NB classifier, decision tree, SVM, and RF classifiers were also used in this work.