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A methodology to extract, from a group of electronic mails belonging to workers with defined responsibilities, a sample of electronic mails that are representative of the tasks assigned to the workers. This is done through natural language processing tools and data mining. The results showed that the methodology represents a good approach for extracting the functions of the workers, allowing 65% of the work descriptions in the evaluation stage. Thus, the proposed methodology can be used with relative confidence to gathered information about workers that suddenly quit their job positions and also for position changes and promotions.

Extracción de Funciones de un Cargo usando Minería de Texto en Correos Electrónicos