Multi-lingual author identification and linguistic feature extraction — A machine learning approach

@article{Alam2013MultilingualAI,
  title={Multi-lingual author identification and linguistic feature extraction — A machine learning approach},
  author={Hassan Alam and Aman Kumar},
  journal={2013 IEEE International Conference on Technologies for Homeland Security (HST)},
  year={2013},
  pages={386-389}
}
Internet based services have emerged as one of the most effective platform to express and exchange views. Most of these services allow anonymous postings. Lately, it has been observed that anonymous postings responsible to instigate violence or cause panic. Some studies have been made to identify authors for such blogs, mostly target to English postings. Current author identification systems do not employ rich morphological features for languages such as Arabic (Modern Standard Arabic). In this… CONTINUE READING