Quality of Service Evaluation of a University Library Using Text Mining and Kohonen Self-organizing Maps

Abstract

Artificial neural networks were used to segment users from their responses to a questionnaire, which explored their perceptions/expectations in some dimensions of the library, as well as praise/criticism. Made that, text mining was applied at segmentation in order to identify the main shortcomings of the service offered by the entity.