Bayesian Categorizer

Definition(s)

  • An information retrieval tool that computes the probability that a document is a member of a category from the probability that each word is indicative of each category. These estimates are derived from example documents. Uses the probability of each word given each category to compute the probability of each category given each word. Also called a naïve Bayesian Categorizer.

Notes

  1. Herb Roitblat, Predictive Coding Glossary.