A Hybrid Machine Learning Method for Text Analysis to Determine Job Titles Similarity

Abstract

This paper introduces a hybrid method based on the combination of two machine learning methods (k-NN and SVM). The novel method is designed to find job titles that are similar based on their description and industry. This method improves the accuracy and time-efficiency of a complex process like selecting the best candidates for a job.