ISSN:
1572-8412
Keywords:
neural networks
;
stylometric analysis
;
Shakespeare
;
Fletcher
;
discrimination
;
classification
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Media Resources and Communication Sciences, Journalism
Notes:
Abstract In this paper we show, for the first time, how Radial Basis Function (RBF) network techniques can be used to explore questions surrounding authorship of historic documents. The paper illustrates the technical and practical aspects of RBF's, using data extracted from works written in the early 17th century by William Shakespeare and his contemporary John Fletcher. We also present benchmark comparisons with other standard techniques for contrast and comparison.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01829876
Permalink