Employee recruitment is an important process in a company's human resource management. In many businesses, the majority of the recruitment process is still done manually. This manual process can be time-consuming and lead to the hiring of unsuitable candidates. This can result in the company losing time, money, and efficiency. This thesis aims to develop a tool to automatically analyse and screen the CVs of candidates at the Blue Reply company and extract useful information for recruitment. Through the use of the IBM Watson Natural Language Understanding, the CVs analysis was automated. For each CV, the most important keywords ,as well as the main concepts, were extracted, providing obtain useful information for recruiters.