Analyzing Features for the Detection of Happy Endings in German Novels

November 28, 2016 Β· Declared Dead Β· πŸ› Jahrestagung des Verbands Digital Humanities im deutschsprachigen Raum

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Fotis Jannidis, Isabella Reger, Albin Zehe, Martin Becker, Lena Hettinger, Andreas Hotho arXiv ID 1611.09028 Category cs.IR: Information Retrieval Cross-listed cs.AI, cs.CL Citations 11 Venue Jahrestagung des Verbands Digital Humanities im deutschsprachigen Raum Last Checked 4 months ago
Abstract
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.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Information Retrieval

Died the same way β€” πŸ‘» Ghosted