Naïve Bayesian Classifier

Definition(s)

  • A system that examines the probability that each word in a new document came from the word distribution derived from trained responsive documents or from trained non-responsive documents. The system is naïve in the sense that it assumes that all words are independent of one another.  1

Notes

  1. Herb Roitblat, Predictive Coding Glossary.