Der Beitrag stellt das annotierte Korpus des DFG-Forschungsprojekts Emotions in Drama vor, dessen Hauptziel das Training transformerbasierter Sprachmodelle für die Klassifikation von Emotionen in über 300 Dramen aus dem Zeitraum von 1650 bis 1815 ist.

This survey offers an overview of the existing body of research on sentiment and emotion analysis as applied to literature. The research under review deals with a variety of topics including tracking dramatic changes of a plot development, network analysis of a literary text, and understanding the emotionality of texts, among other topics.