Naïve Bayes text classification with positive features selected by statistical method

@article{Meena2009NaveBT,
  title={Na{\"i}ve Bayes text classification with positive features selected by statistical method},
  author={M. Janaki Meena and K. R. Chandran},
  journal={2009 First International Conference on Advanced Computing},
  year={2009},
  pages={28-33}
}
Text Classification is enduring to be one of the most researched problems due to continuously-increasing amount of electronic documents and digital data. Naïve Bayes is an effective and a simple classifier for data mining tasks, but does not show much satisfactory results in automatic text classification problems. In this paper, the performance of Naïve Bayes classifier is analyzed by training the classifier with only the positive features selected by CHIR, a statistics based method as input… CONTINUE READING
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