Automatic Analysis and Annotation of Literary Texts

In this work a machine learning oriented perspective on computer aided support to literary analysis is presented. A representation of narrative phenomena is proposed and an automatic annotation model for such phenomena is trained on texts provided by a critic. As a short-term research task, we studied how the observable textual piece of evidence impact on the learning agent capabilities, over a specific literary work, i.e. ”Gli Indifferenti” by Alberto Moravia. Although preliminary, the results are good and confirm the viability of the approach for larger scale