MinerÃa de Texto. Aplicación a la clasificación de Proyectos de Trabajos Finales de Grado de la FPUNE
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Jan 17, 2017
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Abstract
In the Polytechnic Faculty, Eastern National University (FPUNE, projects of graduation work (PTFG) presented for approving the graduating work (TFG) research have been continuously increasing. Because of this, one of the difficulties presented is it promptly identify duplication or similarities between PTFGs through manual control. This research work seeks to solve this difficulty through means that allow automatically filtering PTFGs for discrimination and classification purpose. Text mining was applied which rendered 23 areas of application, with 92% correct groupings, the highest similarity found between two TFG projects is 79%, the lowest being 30%.
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