2008/02/15 by Christoph Schommer, Schommer, Christoph, Conny Uhde +1 · 1 citation
Computer Science · Social Sciences · #Authorship Attribution and Profiling #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #I.5.4 #I.7.5 #K.6.5 #Names, Identity, and Discrimination Research #cs.CL #cs.CR
paper · pdf · doi:10.48550/arxiv.0802.2234
11 pages, 4 Figures
arxiv created 2008/02/15 · openalex publication_date 2008/02/15 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Current research in author profiling to discover a legal author's fingerprint does not only follow examinations based on statistical parameters only but include more and more dynamic methods that can learn and that react adaptable to the specific behavior of an author. But the question on how to appropriately represent a text is still one of the fundamental tasks, and the problem of which attribute should be used to fingerprint the author's style is still not exactly defined. In this work, we focus on linguistic selection of attributes to fingerprint the style of the authors Parkin, Bassewitz and Leander. We use texts of the genre Fairy Tale as it has a clear style and texts of a shorter size with a straightforward story-line and a simple language.