Developing a Naive Bayes Text Classifier in JAVA | Datumbox



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Update: The Datumbox Machine Learning Framework is now open-source and free to download . Check out the package com.datumbox.framework.machinelearning.classification to see the implementation of Naive Bayes Classifier in Java. Naive Bayes Java Implementation The code is written in JAVA and can be downloaded directly from Github . It is licensed under GPLv3 so feel free to use it, modify it and redistribute it freely. The Text Classifier implements the Multinomial Naive Bayes model along with the Chisquare Feature Selection algorithm. All the theoretical details of how both techniques work are covered in previous articles and detailed javadoc comments can be found on the source code describing the implementation. Thus in this segment I will focus on a high level description of the architecture of the classifier. 1. NaiveBayes Class This is the main part of the Text Classifier.

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