Aplicación de técnicas de minería de texto para el agrupamiento de componentes académicos en base a los contenidos de planes docentes

Abstract

Text mining is an area of research of the computer science that applies the computational linguistics and the processing of texts for the identification and extraction of new knowledge from collections of documents, i.e. of unstructured information. The Universidad Técnica Particular de Loja has a lot of subjects that creates teaching plans in different academic periods, generating a high volume of information requiring a periodic evaluation of the content used in each teaching plan cycle to cycle, with the purpose of verifying that there is no overlap of content. This work provides solution to this problem, through the application of techniques of clustering of text mining to the contents of the teaching plans of the engineering degree in computer systems and computing, in order to validate that the information is consistent and there are no contents similar between areas of study.