Towards a Job Title Classification System

Understand

Document classification for text, images and other applicable entities has long been a focus of research in academia and also finds application in many industrial settings.

• Amidst a plethora of approaches to solve such problems, machine-learning techniques have found success in a variety of scenarios.
• In this paper we discuss the design of a machine learning-based semi-supervised job title classification system for the online job recruitment domain currently in production at CareerBuilder.com and propose enhancements to it.
• The system leverages a varied collection of classification as well clustering algorithms.