Analyzing Features for the Detection of Happy Endings in German Novels
This work addresses a computational challenge in literary studies, but it is incremental as it builds on previously proposed features without introducing a new method.
The paper tackled the problem of detecting happy endings in German novels using sentiment analysis, investigating the relevance of specific features and their performance, and found that their simple approach can lead to substantial findings for literary studies.
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.