A Blended Text Mining Method for Authorship Authentication Analysis

The paper elaborates upon the interim results achieved in resolving a few newly discovered 16th century letters now alleged to be written by Queen Mary of Scots (QMS). Despite the significant progress seen in stylometry and its role in authorship attribute analysis especially in disputed writings/ texts controversies over the authorship of Shakespeare's literary work still continue as does research into this corpus of letters. Using more sophisticated computational and mathematical modelling techniques than in previously published research, this study still employs the use of stylometic measures, to show a distinct variation between the authentic writings of QMS and the newly discovered letters, claimed by numerous enthusiasts to be of her authorship. Incorporating additional advanced statistical methods, such as principle component analysis (PCA) and artificial neural networks (ANNs), especially Kohonen's self-organising map (SOM) based visualisation technique, a text minin...

• Type: Conference
• Year: 2008
• Where: ASIAMS
• Authors: Philip Sallis, Subana Shanmuganathan
• Keywords: 16th Century Letters, ASIAMS 2008, Authorship Attribute Analysis, Modelling And Simulation, Principle Component Analysis