Intrinsic Author Verification Using Topic Modeling

@article{Potha2018IntrinsicAV,
  title={Intrinsic Author Verification Using Topic Modeling},
  author={Nektaria Potha and E. Stamatatos},
  journal={Proceedings of the 10th Hellenic Conference on Artificial Intelligence},
  year={2018}
}
Author verification is a fundamental task in authorship analysis and associated with important applications in humanities and forensics. In this paper, we propose the use of an intrinsic profile-based verification method that is based on latent semantic indexing (LSI). Our proposed approach is easy-to-follow and language independent. Based on experiments using benchmark corpora from the PAN shared task in author verification, we demonstrate that LSI is both more effective and more stable than… Expand
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