  With regard to a computational representation of literary plot, this paper
looks at the use of sentiment analysis for happy ending detection in German
novels. Its focus lies on the investigation of previously proposed sentiment
features in order to gain insight about the relevance of specific features on
the one hand and the implications of their performance on the other hand.
Therefore, we study various partitionings of novels, considering the highly
variable concept of "ending". We also show that our approach, even though still
rather simple, can potentially lead to substantial findings relevant to
literary studies.

Information Retrieval;Artificial Intelligence;Computation and Language