Authorship Identification Using Dynamic Selection of Features from Probabilistic Feature Set

  • Hamed Zamani
  • Hossein Nasr Esfahani
  • Pariya Babaie
  • Samira Abnar
  • Mostafa Dehghani
  • Azadeh Shakery
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8685)


Authorship identification was introduced as one of the important problems in the law and journalism fields and it is one of the major techniques in plagiarism detection. In this paper, to tackle the authorship verification problem, we propose a probabilistic distribution model to represent each document as a feature set to increase the interpretability of the results and features. We also introduce a distance measure to compute the distance between two feature sets. Finally, we exploit a KNN-based approach and a dynamic feature selection method to detect the features which discriminate the author’s writing style.

The experimental results on PAN at CLEF 2013 dataset show the effectiveness of the proposed method. We also show that feature selection is necessary to achieve an outstanding performance. In addition, we conduct a comprehensive analysis on our proposed dynamic feature selection method which shows that discriminative features are different for different authors.


authorship identification dynamic feature selection k-nearest neighbors probabilistic feature set 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Argamon, S., Koppel, M., Pennebaker, J.W., Schler, J.: Automatically profiling the author of an anonymous text. Commun. ACM 52(2), 119–123 (2009)CrossRefGoogle Scholar
  2. 2.
    Forner, P., Navigli, R., Tufis, D. (eds.): CLEF 2013 Evaluation Labs and Workshop–Working Notes Papers (2013)Google Scholar
  3. 3.
    Genkin, A., Lewis, D.D., Madigan, D.: Large-scale bayesian logistic regression for text categorization. Technometrics 49, 291–304 (2007)CrossRefMathSciNetGoogle Scholar
  4. 4.
    Graham, N., Hirst, G., Marthi, B.: Segmenting documents by stylistic character. Nat. Lang. Eng. 11(4), 397–415 (2005)CrossRefGoogle Scholar
  5. 5.
    Halvani, O., Steinebach, M., Zimmermann, R.: Authorship verification via k-nearest neighbor estimation - notebook for pan at clef 2013. In: Forner et al [2]Google Scholar
  6. 6.
    Joula, P., Stamatatos, E.: Overview of the author identification task at pan 2013. In: Information Access Evaluation. Multilinguality, Multimodality, and Visualization. vol. 8138 (2013)Google Scholar
  7. 7.
    Kullback, S., Leibler, R.A.: On information and sufficiency. Annals of Mathematical Statistics 22, 49–86 (1951)CrossRefMathSciNetGoogle Scholar
  8. 8.
    Li, J., Zheng, R., Chen, H.: From fingerprint to writeprint. Commun. ACM 49(4), 76–82 (2006)CrossRefGoogle Scholar
  9. 9.
    Luyckx, K., Daelemans, W.: Authorship attribution and verification with many authors and limited data. In: Proceedings of the 22nd International Conference on Computational Linguistics, COLING 2008, pp. 513–520 (2008)Google Scholar
  10. 10.
    Manning, C.D., Raghavan, P., Schütze, H.: Introduction to Information Retrieval. Cambridge University Press, New York (2008)CrossRefzbMATHGoogle Scholar
  11. 11.
    Mohtasseb, H., Ahmed, A.: Two-layered blogger identification model integrating profile and instance-based methods. Knowl. Inf. Syst. 31(1), 1–21 (2012)CrossRefGoogle Scholar
  12. 12.
    Potha, N., Stamatatos, E.: A profile-based method for authorship verification. In: Likas, A., Blekas, K., Kalles, D. (eds.) SETN 2014. LNCS, vol. 8445, pp. 313–326. Springer, Heidelberg (2014)Google Scholar
  13. 13.
    Sanderson, C., Guenter, S.: Short text authorship attribution via sequence kernels, markov chains, and author unmasking: An investigation. In: Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing, EMNLP 2006, pp. 482–491 (2006)Google Scholar
  14. 14.
    Seidman, S.: Authorship verification using the impostors method - notebook for pan at clef 2013. In: Forner et al. [2]Google Scholar
  15. 15.
    Stamatatos, E.: A survey of modern authorship attribution methods. J. Am. Soc. Inf. Sci. Technol. 60(3), 538–556 (2009)CrossRefGoogle Scholar
  16. 16.
    Stamatatos, E., Koppel, M.: Plagiarism and authorship analysis: introduction to the special issue. Language Resources and Evaluation 45(1), 1–4 (2011)CrossRefGoogle Scholar
  17. 17.
    Zhao, Y., Zobel, J.: Searching with style: Authorship attribution in classic literature. In: Proceedings of the Thirtieth Australasian Conference on Computer Science, ACSC 2007, pp. 59–68 (2007)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Hamed Zamani
    • 1
  • Hossein Nasr Esfahani
    • 1
  • Pariya Babaie
    • 1
  • Samira Abnar
    • 1
  • Mostafa Dehghani
    • 1
  • Azadeh Shakery
    • 1
  1. 1.School of Electrical and Computer Engineering, College of EngineeringUniversity of TehranTehranIran

Personalised recommendations