Measuring differentiability: Unmasking pseudonymous authors

Journal of Machine Learning Research

Volumn 8, Issue , 2007, Pages 1261-1276

  Koppel, Moshe ^a   Schier, Jonathan ^a   Bonchek Dokow, Elisheva ^a  

^a BAR ILAN UNIVERSITY   (Israel)

Author keywords

Authorship attribution; One class learning; Unmasking

Indexed keywords

DIFFERENTIATION (CALCULUS); MATHEMATICAL MODELS; PROBLEM SOLVING; VERIFICATION;

DIFFERENTIABILITY; VERIFICATION PROBLEMS;

LEARNING SYSTEMS;

EID: 34250648062     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article

References (27)

1. H. Baayen, H. Van Halteren and F. Tweedie (1996). Outside the cave of shadows: Using syntactic annotation to enhance authorship attribution, Literary and Linguistic Computing, 11, 1996.
2. Y.L. Ben-David, (2002), Shevet mi-Yehudah (in Hebrew), Jerusalem (no publisher listed)
3. J.N.G. Binongo, (2003). Who wrote the 15th Book of Oz? An application of multivariate analysis to authorship attribution. Chance 16(2), 9-17.
4. C.C. Chang and C. Lin, (2001) LIBSVM: a Library for Support Vector Machines (Version 2.3)
5. I. Dagan, Y. Karov and D. Roth (1997), Mistake-driven learning in text categorization, in EMNLP-97: 2nd Conf. on Empirical Methods in Natural Language Processing, 1997, pages 55-63.
6. O. De Vel, M. Corney, A. Anderson and G. Mohay (2002), E-mail authorship attribution for computer forensics, in Applications of Data Mining in Computer Security, Barbará, D. and Jajodia, S. (eds.), Kluwer.
7. J. Diederich, J. Kindermann, E. Leopold and G. Paass (2003), Authorship attribution with support vector machines, Applied Intelligence 19(1), 109-123
8. E. Gabrilovich and S. Markovitch (2004), Text categorization with many redundant features: using aggressive feature selection to make SVMs competitive with C4.5. In Proc. 21st International Conference on Machine Learning (ICML) 2004, pages. 321-328.
9. D. Holmes (1998). The evolution of stylometry in humanities scholarship, Literary and Linguistic Computing, 13, 3, 1998, 111-117.
10. D. Holmes, L. Gordon, and C. Wilson (2001), A widow and her soldier: Stylometry and the American civil war, Literary and Linguistic Computing 16(4), 403-420
11. T. Joachims, (1998) Text categorization with support vector machines: learning with many relevant features. In Proc. 10th European Conference on Machine Learning ECML-98, pages 137-142
12. M. Koppel, S. Argamon and A. Shimoni (2002), Automatically categorizing written texts by author gender, Literary and Linguistic Computing 17(4), 401-412
13. M. Koppel and J. Schler (2003), Exploiting stylistic idiosyncrasies for authorship attribution, in Proceedings of IJCAI'03 Workshop on Computational Approaches to Style Analysis and Synthesis, pages 69-72.
14. M. Koppel and J. Schler (2004), Authorship verification as a one-class classification problem, in Proceedings of 21st International Conference on Machine Learning, July 2004, Banff, Canada, pages 489-495.
15. D. Lewis, D, R. Schapire, J. Callan and R. Papka (1996). Training algorithms for text classifiers, in Proc. 19th ACM/SIGIR Conf. on R&D in IR, 1996, pages 306-298.
16. L. Manevitz and M. Yousef (2001). One-class svms for document classification,. Journal of Machine Learning Research 2.
17. R. Matthews and T. Merriam, (1993). Neural computation in stylometry : An application to the works of Shakespeare and Fletcher. Literary and Linguistic Computing, 8(4), 203-209.
18. F. Mosteller and D. L. Wallace (1964). Inference and Disputed Authorship: The Federalist. Reading, Mass. : Addison Wesley.
19. F. Peng, D. Schuurmans and S. Wang (2004). Augmenting naive Bayes text classifier with statistical language models, Information Retrieval, 7 (3-4), 317-345
20. B. Schölkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, and R. C. Williamson (2001). Estimating the support of a high-dimensional distribution. Neural Computation, 13, 1443-1471.
21. F. Sebastiani, (2002). Machine learning in automated text categorization, ACM Computing Surveys 34(1), 1-47.
22. E. Stamatatos, N. Fakotakis, and G. Kokkinakis (2001) Computer-based authorship attribution without lexical measures. Computers and the Humanities, 35(2), 93-214, Kluwer, 2001.
23. D.M.J. Tax (2001), One-Class Classification. PhD thesis, TU Delft, 2001.
24. F. J Tweedie and R. H. Baayen (1998). How variable may a constant be? Measures of lexical richness in perspective, Computers and the Humanities, 32 (1998), 323-352.
25. nd Conf. Of ACL, July 2004, 199-206
26. Y. Yang (1999). An evaluation of statistical approaches to text categorization. Journal of Information Retrieval, 1 (1-2), 67-88.
27. G.U. Yule (1938). On sentence length as a statistical characteristic of style in prose with application to two cases of disputed authorship, Biometrika, 30, 363-390.