Visual Analytics Based Authorship Discrimination Using Gaussian Mixture Models and Self Organising Maps: Application on Quran and Hadith

An interesting way to analyse the authorship authenticity of a document, is the use of stylometry. However, the use of conventional features and classifiers has some disadvantages such as the automatic authorship decision, which usually gives us a speechless authorship classification without (often) any way to measure or interpret the consistency of the results.

[1]  Thomas Ertl,et al.  VA2: A Visual Analytics Approach for Evaluating Visual Analytics Applications , 2016, IEEE Transactions on Visualization and Computer Graphics.

[2]  Teuvo Kohonen,et al.  The self-organizing map , 1990 .

[3]  George Tambouratzis,et al.  Employing Thematic Variables for Enhancing Classification Accuracy Within Author Discrimination Experiments , 2007, Lit. Linguistic Comput..

[4]  Mariann Løkse,et al.  Encyclopædia Britannica Online , 2018, Ravnetrykk.

[5]  Sandaruwan Prabath Kumara Ranatunga Finding Efficient Linguistic Feature Set for Authorship Verification , 2013 .

[6]  Stella Markantonatou,et al.  Applying the SOM Model to Text Classification According to Register and Stylistic Content , 2003, Int. J. Neural Syst..

[7]  Halim Sayoud,et al.  Author discrimination between the Holy Quran and Prophet's statements , 2012, Lit. Linguistic Comput..

[8]  Jarke J. van Wijk,et al.  Evaluation: A Challenge for Visual Analytics , 2013, Computer.

[9]  Brian Everitt,et al.  Cluster analysis , 1974 .

[10]  G. Tambouratzis,et al.  Assessing the effectiveness of feature groups in author recognition tasks with the SOM model , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[11]  I. Ibrahim,et al.  A Brief Illustrated Guide to Understanding Islam , 1996 .

[12]  Halim Sayoud A Visual Analytics based Investigation on the Authorship of the Holy Quran , 2015, IVAPP.

[13]  Christopher Andrews,et al.  The human is the loop: new directions for visual analytics , 2014, Journal of Intelligent Information Systems.

[14]  Efstathios Stamatatos A survey of modern authorship attribution methods , 2009 .

[15]  Geoffrey J. McLachlan,et al.  Modelling high-dimensional data by mixtures of factor analyzers , 2003, Comput. Stat. Data Anal..

[16]  Stella Markantonatou,et al.  Discriminating the Registers and Styles in the Modern Greek Language-Part 2: Extending the Feature Vector to Optimize Author Discrimination , 2004, Lit. Linguistic Comput..

[17]  Rong Zheng,et al.  From fingerprint to writeprint , 2006, Commun. ACM.

[18]  Efstathios Stamatatos,et al.  Computer-Based Authorship Attribution Without Lexical Measures , 2001, Comput. Humanit..

[19]  Halim Sayoud Segmental Analysis-Based Authorship Discrimination between the Holy Quran and Prophet’s Statements , 2015 .