Application of Artificial Neural Networks to stylometric analysis

被引：0
|
作者：
Stanczyk, Urszula [1 ]
Cyran, Krzysztof A. [1 ]
机构：
[1] Silesian Tech Univ, Inst Informat, PL-44100 Gliwice, Poland
来源：
PROCEEDINGS OF THE 8TH WSEAS INTERNATIONAL CONFERENCE ON SYSTEMS THEORY AND SCIENTIFIC COMPUTATION (ISTAC'08): NEW ASPECTS OF SYSTEMS THEORY AND SCIENTIFIC COMPUTATION | 2008年
关键词：
Stylometry; Artificial Neural Networks; Author identification; Multilayer Perceptron;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Stylometric analysis of a literary text can comprise several elements and its aims include authorship attribution, author characterisation and similarity detection, which fall within the scope of information retrieval tasks. Author identification is a problem of significant importance not only from academic or historic point of view as in cases of disputed authorship of some literary works (even Shakespeare's) but in more current and sinister affairs of forensic nature. To deal with these problems various methodologies have been employed or invented, and in the paper there is presented the application of Artificial Neural Networks as the processing engine for authorship analysis.
引用
收藏
页码：25 / 30
页数：6
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