Naive Bayes spam filtering
id:
naive-bayes-spam-filtering-186-1146153
title:
Naive Bayes spam filtering
text:
Naive Bayes classifiers are a popular statistical technique of e-mail filtering. They typically use bag-of-words features to identify email spam, an approach commonly used in text classification. Naive Bayes classifiers work by correlating the use of tokens, with spam and non-spam e-mails and then using Bayes' theorem to calculate a probability that an email is or is not spam. Naive Bayes spam filtering is a baseline technique for dealing with spam that can tailor itself to the email needs of in
brand slug:
wiki
category slug:
encyclopedia
description:
Technique for filtering spam e-mail
original url:
https://en.wikipedia.org/wiki/Naive_Bayes_spam_filtering
date created:
2004-03-09T20:38:32Z
date modified:
2024-09-07T21:01:35Z
main entity:
{"identifier":"Q812531","url":"https://www.wikidata.org/entity/Q812531"}
image:
fields total:
13
integrity:
15