Análisis de contenido de conversaciones síncronas y asíncronas en el entorno virtual de aprendizaje de la Universidad Técnica Particular de Loja

Abstract

Abstract: The purpose of this work is to make available a tool that allows to carry out text mining from the Virtual Learning Environment and the social network Facebook, data that are contribution to research teachers, this work was carried out through techniques of Natural Language Processing (PLN), allowing to categorize the contributions of students with the Taxonomy of Bloom. It proposes the implementation of the spaCy library of Python, which allows the pre-porcescation of data, also uses a knowledge base on the taxonomy previously mentioned, taking as resources the participations of students of the Modality Open and Distance from the Private Technical University of Loja. A Front End is developed for the end user, allowing the use of the tool for the extraction, processing and presentation of the data.