An evaluation of authorship attribution using random forests

@article{Khonji2015AnEO,
  title={An evaluation of authorship attribution using random forests},
  author={Mahmoud Khonji and Youssef Iraqi and Andrew Jones},
  journal={2015 International Conference on Information and Communication Technology Research (ICTRC)},
  year={2015},
  pages={68-71}
}
Electronic text (e-text) stylometry aims at identifying the writing style of authors of electronic texts, such as electronic documents, blog posts, tweets, etc. Identifying such styles is quite attractive for identifying authors of disputed e-text, identifying their profile attributes (e.g. gender, age group, etc), or even enhancing services such as search engines and recommender systems. Despite the success of Random Forests, its performance has not been evaluated on Author Attribtion problems… CONTINUE READING

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of Electronic Texts : A Survey on Electronic Text

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