Large Scale Text Classification using Semisupervised Multinomial Naive Bayes

@inproceedings{Su2011LargeST,
  title={Large Scale Text Classification using Semisupervised Multinomial Naive Bayes},
  author={Jiang Su and Jelber Sayyad Shirab and Stan Matwin},
  booktitle={ICML},
  year={2011}
}
Numerous semi-supervised learning methods have been proposed to augment Multinomial Naive Bayes (MNB) using unlabeled documents, but their use in practice is often limited due to implementation difficulty, inconsistent prediction performance, or high computational cost. In this paper, we propose a new, very simple semi-supervised extension of MNB, called Semi-supervised Frequency Estimate (SFE). Our experiments show that it consistently improves MNB with additional data (labeled or unlabeled… CONTINUE READING
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