MACHINE LEARNING-BASED FAKE JOB RECRUITMENT DETECTION SYSTEM

Abstract

In order to avoid fraudulent online job postings, we use an automated tool that uses natural language processing (NLP) and classification techniques based on machine learning are suggested on paper. Using the NLP library SpaCy in python we have performed various analyzes such as semantic, syntactic, tokenization of the task profile extracting features and using a machine learning algorithm called Random Forest we have predicted its accuracy to classify a job profile as Real or Fake.