Automatic Classification of Literature Pieces by Emotion Detection: A Study on Quevedo´s Poetry

In this work, we describe an experiment on the categorization of poems based on their emotional content, which is automatically measured. For that purpose, we center on the poetry of Francisco de Quevedo and a well-known sentiment categorization of it. Thereby, we explore how emotions can help in the classification process. The goal was to verify whether the information about emotional content can be used to build classifiers reproducing that categorization.