Wallogit.com
2017 © Pedro Peláez
A simple naive bayes text/document classier. This library allows classifying text to one or more classes.
A simple php based Naive-Bayes text classifier., (*1)
The Naive-Bayes classifier is a statistical classifier which relies on a "trained set" to classify documents., (*2)
Documents are chunks of plain text, classes are any type of class structure a document ay fall under., (*3)
Examples:
* Restaurant Menu <-> Food Type
* Vocabulary <-> Language
* Novel <-> Author, (*4)
Before starting to use the classifier you should train it., (*5)
This package comes with both a Trainer and a Classifier. To achieve good performance it is recommended to train at least 200 documents before using the classifier., (*6)
Note: The 200 document number is an arbitrarily high number. As with any machine learner a golden mean number should be encountered for each specific case., (*7)
..., (*8)
..., (*9)
MIT https://opensource.org/licenses/MIT, (*10)
A simple naive bayes text/document classier. This library allows classifying text to one or more classes.
MIT