Natural Language Processing and Text Mining to Identify Knowledge Profiles for Software Engineering Positions: Generating Knowledge Profiles from Resumes
Rogelio Valdez-Almada, Oscar M. Rodríguez-Elias, Cesar E. Rose-Gómez, Maria de Jesús Velázquez-Mendoza, Samuel González‐López · 2017
Organizations frequently report problems finding skillful people to cover their most knowledge intensive vacancies. Being software engineering positions some of the such kind of jobs, there is a considerable gap between job postings and hiring skillful engineers in many software engineering organizations. In this paper, we will introduce the prototype of a web application that helps identifying Technical Knowledge (TK) in software development, to serve as a tool in the hiring process of software engineering positions, and in talent management. The purpose of this tool is to do an initial screening when opening a job position. All this is accomplished using Natural Language Processing (NLP) and Text Mining (TM) to analyze unstructured text in resumes and curriculum. We propose a way to use NLP and TM to identify knowledge profiles for Software Engineering Positions.