Automated Resume Classification System Using Ensemble Learning

One of job recruiters’ biggest challenges is selecting a suitable resume from the pool of resumes. For a single role, thousands of candidates send their resumes. Manually selecting the resume from a large number of applicants and assigning them suitable positions is time taking and not feasible. An automated system can make this process easy and efficient. This system takes candidates’ resumes in word, pdf, or any format and classifies them according to the skill set mentioned in the resume. We propose an ensemble deep-learning model to classify the resume.

I. Introduction

Recruitments in the Information Technology field have been increasing exponentially. Recruiters must properly screen resumes to hire suitable candidates. The process of checking if a candidate is suitable for a particular role according to the information from their CV/Resume is called resume screening. Recruiters have to screen through a large amount of resume data fast and reliably.