Example usage for weka.classifiers.functions LibLINEAR LibLINEAR

Introduction

In this page you can find the example usage for weka.classifiers.functions LibLINEAR LibLINEAR.

Prototype

LibLINEAR

Source Link

Usage

From source file:gr.ntua.sentimentanalysis.TrainingThread.java

License:Open Source License

public void run() {
    //Display info about this particular thread
    System.out.println(Thread.currentThread());
    String[] inputPaths = {//from  ww  w  .  jav  a  2 s .c o  m
            "C:\\FOT\\SentimentAnalysisServiceGraphs\\standfordTrainingSet\\trainingNegativeTweets",
            "C:\\FOT\\SentimentAnalysisServiceGraphs\\standfordTrainingSet\\trainingPositiveTweets" };
    String[][] documents = new String[inputPaths.length][];
    for (int i = 0; i < inputPaths.length; i++) {
        documents[i] = (String[]) SerializationUtilities.loadSerializedObject(inputPaths[i]);
        System.out.println("Documents\t:\t" + documents[i].length);
    }

    System.out.println("Preparing instances...");
    a.vmcl = new VectorModels(0.5, 0.0, documents);
    a.vmcl.prepareData(true, a.REP_MODEL);
    a.instances = a.vmcl.getInstances();

    System.out.println("Training classifier...");
    a.classifier = new LibLINEAR();
    try {

        a.classifier.buildClassifier(a.instances);
    } catch (Exception e) {
        e.printStackTrace();
    }
    System.out.println("Classifier was trained!");
}

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