Natural Language Processing and Text Mining to Identify Knowledge Profiles for Software Engineering Positions: Generating Knowledge Profiles from Resumes

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.