Adversarial Authorship, Sentiment Analysis, and the AuthorWeb Zoo

@article{Narayanan2018AdversarialAS,
  title={Adversarial Authorship, Sentiment Analysis, and the AuthorWeb Zoo},
  author={Mina Narayanan and Joshua Gaston and Gerry V. Dozier and D. Lisa Cothran and Clarissa Arms-Chavez and Marcia Rossi and Michael C. King and Kelvin S. Bryant},
  journal={2018 IEEE Symposium Series on Computational Intelligence (SSCI)},
  year={2018},
  pages={928-932}
}
This paper looks at Doddington’s Biometric Zoo from the perspective of AuthorWebs for Adversarial Authorship. We provide a definition of an AuthorWeb and show how animals (authors) in the AuthorWeb Zoo are similar to those found in the Biometric Zoo from a Sentiment Analysis perspective. Additionally, we investigate the use of Sentiment Analysis for Authorship Attribution. When initially experimenting with sentiment analysis features, the accuracy was quite low (18%- 22%). However, applying… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 18 REFERENCES

Annotating Expressions of Opinions and Emotions in Language

  • Language Resources and Evaluation
  • 2005
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Adversarial Authorship, AuthorWebs, and Entropy-Based Evolutionary Clustering

  • 2016 25th International Conference on Computer Communication and Networks (ICCCN)
  • 2016

A Study on the Efficacy of Sentiment Analysis in Author Attribution

Schneider, J Michael
  • 2015
VIEW 1 EXCERPT

GEFeS: Genetic & evolutionary feature selection for periocular biometric recognition

  • 2011 IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM)
  • 2011
VIEW 1 EXCERPT