Two Stage Job Title Identification System for...

Two Stage Job Title Identification System for Online Job Advertisements

Author Name : Yarra Hemanth Eswar, N. Dhanush, D. Nithin, M. Varunsai, Deepak kumar, Dr. M. A. Manivasagam

ABSTRACT Data science techniques are powerful tools for extracting knowledge from large datasets. Analyzing the job market by classifying online job advertisements (ads) has recently received much attention. Various approaches for multi label classification (e.g., self-supervised learning and clustering) have been developed to identify the occupation from a job advertisement and have achieved a satisfying performance. However, these approaches require labeled datasets with hundreds of thousands of examples and focus on specific databases such as the Occupational Information Network (O*NET) that are more adapted to the US job market. In this project, we present a two-stage job title identification methodology to address the case of small datasets.