Example usage for weka.classifiers.bayes NaiveBayesMultinomial NaiveBayesMultinomial

Introduction

In this page you can find the example usage for weka.classifiers.bayes NaiveBayesMultinomial NaiveBayesMultinomial.

Prototype

NaiveBayesMultinomial

Source Link

Usage

From source file:at.aictopic1.sentimentanalysis.machinelearning.impl.NaiveBayesMultinomialClassifier.java

/**
 * sets classifier/*  w  w w.j a  v a  2 s  .com*/
 */
@Override
protected void setClassifier() {

    //classifier
    NaiveBayesMultinomial usedClassifier = new NaiveBayesMultinomial();
    //.. other options
    this.fcClassifier.setClassifier(usedClassifier);
}

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From source file:Beans.Categorizer.java

public String newModel() throws SQLException, Exception {
    FacesContext facesContext = FacesContext.getCurrentInstance();
    String BasePath = facesContext.getExternalContext().getRealPath("");
    File file = new File(BasePath + File.separator + "dataset/preprocessed.arff");

    /* This logic is to create the file if the
     * file is not already present//  w w  w.j  av a2s.c o  m
     */
    if (!file.exists()) {
        file.createNewFile();
    }

    //Here true is to append the content to file
    FileWriter fw = new FileWriter(file, true);
    //BufferedWriter writer give better performance
    BufferedWriter bw = new BufferedWriter(fw);
    bw.write("'" + title + "','" + article + "','" + category + "'\n");
    //Closing BufferedWriter Stream
    bw.close();

    Instances processed_nom = test.ReadDataset(BasePath + File.separator + "dataset/preprocessed.arff");
    NaiveBayesMultinomial nBayes = new NaiveBayesMultinomial();
    test.CreateAndSaveModel(nBayes, processed_nom, BasePath + File.separator);

    title = "";
    article = "";
    category = "";
    part = null;
    return "added";
}

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