Design and realization of an NLP application for the massive processing of large volumes of resumes

Abstract

Information and communication technologies (ICTs) today impact all aspects of the life of businesses and organizations. This is particularly the case with the recruitment process, with the establishment of e-recruitment platforms. These platforms allow candidates to post their information online, including their resume. This undeniable progress has resulted in an explosion of applications for offers posted by companies. This is how large organizations today receive up to hundreds of thousands of applications for certain vacancies. E-recruitment platforms make it easy to eliminate applications that do not meet the mandatory conditions (hard skills) by using simple calculations (SQL queries). But after this first step, there are still hundreds of thousands of applications to process. At this level, the platforms show their limits. Indeed, you have to read each resume and detect the soft skills of the candidates to decide between them. We propose to design and implement a solution based on natural language processing (NLP) technologies to allow the recruiter to select the best candidates using their resume.