Skip to main content

Authorship Attribution Via Combination of Evidence

  • Conference paper
Advances in Information Retrieval (ECIR 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4425))

Included in the following conference series:

  • 2065 Accesses

Abstract

Authorship attribution is a process of determining who wrote a particular document. We have found that different systems work well for particular sets of authors but not others. In this paper, we propose three authorship attribution systems, based on different ways of combining existing methodologies. All systems show better effectiveness than the state-of-art methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Argamon, S., Saric, M., Stein, S.S.: Style mining of electronic messages for multiple authorship discrimination: First results. In: Proc. 9th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, pp. 475–480. ACM Press, New York (2003)

    Google Scholar 

  2. Baayen, H., et al.: An experiment in authorship attribution. In: 6th JADT (2002)

    Google Scholar 

  3. Baayen, H., Halteren, H.V., Tweedie, F.: Outside the cave of shadows: Using syntactic annotation to enhance authorship attribution. Literary and Linguistic Computing 11(3), 121–132 (1996)

    Article  Google Scholar 

  4. Chaski, C.E.: Computational stylistics in forensic author identification. In: SIGIR workshop: Stylistic Analysis of Text For Information Access (August 2005)

    Google Scholar 

  5. Diederich, J., et al.: Authorship attribution with support vector machines. Applied Intelligence 19(1-2), 109–123 (2003)

    Article  MATH  Google Scholar 

  6. Holmes, D.I., Robertson, M., Paez, R.: Stephen Crane and the New York Tribune: A case study in traditional and non-traditional authorship attribution. Computers and the Humanities 35(3), 315–331 (2001)

    Article  Google Scholar 

  7. Kaster, A., Siersdorfer, S., Weikum, G.: Combining text and linguistic doument representations for authorship attribution. In: SIGIR workshop: Stylistic Analysis of Text For Information Access (August 2005)

    Google Scholar 

  8. Mackay, D., Peto, L.: A hierarchical dirichlet language model. Nat. Lang. Eng. 1(3), 289–307 (1995)

    Article  Google Scholar 

  9. Sarkar, A., Roeck, A.D., Garthwaite, P.H.: Term re-occurrence measures for analyzing style. In: SIGIR workshop: Stylistic Analysis of Text For Information Access (August 2005)

    Google Scholar 

  10. Zhai, C.X., Lafferty, J.: A study of smoothing methods for language models applied to information retrieval. ACM Transaction on Information System 22(2), 179–214 (2004)

    Article  Google Scholar 

  11. Zhao, Y., Zobel, J.: Effective authorship attribution using function words. In: Lee, G.G., et al. (eds.) AIRS 2005. LNCS, vol. 3689, pp. 174–190. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  12. Zhao, Y., Zobel, J., Vines, P.: Using relative entropy for authorship attribution. In: Ng, H.T., et al. (eds.) AIRS 2006. LNCS, vol. 4182, pp. 92–105. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Giambattista Amati Claudio Carpineto Giovanni Romano

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Zhao, Y., Vines, P. (2007). Authorship Attribution Via Combination of Evidence. In: Amati, G., Carpineto, C., Romano, G. (eds) Advances in Information Retrieval. ECIR 2007. Lecture Notes in Computer Science, vol 4425. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71496-5_64

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-71496-5_64

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71494-1

  • Online ISBN: 978-3-540-71496-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics