mcheptea / nbclassifier
A simple naive bayes text/document classier. This library allows classifying text to one or more classes.
Requires
- predis/predis: 1.0.3
- symfony/yaml: 2.8.4
This package is not auto-updated.
Last update: 2024-05-17 21:00:17 UTC
README
A simple php based Naive-Bayes text classifier.
The Naive-Bayes classifier is a statistical classifier which relies on a "trained set" to classify documents.
Documents are chunks of plain text, classes are any type of class structure a document ay fall under.
Examples:
* Restaurant Menu <-> Food Type
* Vocabulary <-> Language
* Novel <-> Author
How does it work?
Before starting to use the classifier you should train it.
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.
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.
Installation
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Usage
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