Publication - Neural Networks for Author Attribution
RESEARCH

Neural Networks for Author Attribution

Research Area:  
Other topics in Computer Science
    
Type:  
In Proceedings

 

Year: 2007
Authors: N. Tsimboukakis; George Tambouratzis
Editor: Costas Spyropoulos
Book title: Proceedings of the IEEE International Conference on Fuzzy Systems (FuzzIEEE-2007)
Pages: 1-6
Address: London, England
Organization: IEEE
Date: 23-26 July
ISBN: 1-4244-1209-9
DOI: 10.1109/FUZZY.2007.4295356
Abstract:
The present article investigates the effectiveness of neural network models when applied to the task of categorising texts in the Greek language based on the style of their authors. Multilayer perceptrons (MLP), radial basis function networks (RBF) and self-organizing maps (SOM) are comparatively studied on the task of classifying documents based on a set of countable stylistic features. This task is of particular importance for information retrieval applications that involve very large databases of documents where the manual classification is extremely labour-intensive.
[Bibtex]