Machine Learning Tutorial: The Naive Bayes Text Classifier

In this tutorial we will discuss about Naive Bayes text classifier. Naive Bayes is one of the simplest classifiers that one can use because of the simple mathematics that are involved and due to the fact that it is easy to code with every standard programming language including PHP, C#, JAVA etc. Update: The Datumbox Machine Learning Framework is now open-source and free to download. Note that some of the techniques described below are used on Datumbox's Text Analysis service and they power up our API. The Naive Bayes classifier is a simple probabilistic classifier which is based on Bayes theorem with strong and naïve independence assumptions. It is one of the most basic text classification techniques with various applications in email spam detection, personal email sorting, document categorization, sexually explicit content detection, language detection and sentiment detection.