de.tudarmstadt.ukp.csniper.ml.TKSVMlightComparator.java Source code

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/*******************************************************************************
 * Copyright 2013
 * Ubiquitous Knowledge Processing (UKP) Lab
 * Technische Universitt Darmstadt
 * 
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 * 
 *   http://www.apache.org/licenses/LICENSE-2.0
 * 
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 ******************************************************************************/
package de.tudarmstadt.ukp.csniper.ml;

import java.io.File;
import java.io.IOException;
import java.util.Arrays;

import org.apache.commons.lang.StringUtils;
import org.apache.uima.UimaContext;
import org.apache.uima.analysis_engine.AnalysisEngineProcessException;
import org.apache.uima.jcas.JCas;
import org.apache.uima.resource.ResourceInitializationException;
import org.cleartk.classifier.Feature;
import org.apache.uima.fit.component.JCasAnnotator_ImplBase;
import org.apache.uima.fit.descriptor.ConfigurationParameter;
import org.apache.uima.fit.testing.util.HideOutput;
import org.apache.uima.fit.util.JCasUtil;

import de.tudarmstadt.ukp.csniper.ml.tksvm.TKSVMlightClassifier;
import de.tudarmstadt.ukp.csniper.ml.tksvm.TKSVMlightClassifierBuilder;
import de.tudarmstadt.ukp.dkpro.core.api.metadata.type.DocumentMetaData;
import de.tudarmstadt.ukp.dkpro.core.api.syntax.type.PennTree;

public class TKSVMlightComparator extends JCasAnnotator_ImplBase {
    public static final String PARAM_OUTPUT_DIRECTORY = "outputDirectory";
    @ConfigurationParameter(name = PARAM_OUTPUT_DIRECTORY, mandatory = true)
    public File outputDirectory;

    private TKSVMlightClassifier classifier;

    private static double tp = 0;
    private static double tn = 0;
    private static double fp = 0;
    private static double fn = 0;

    @Override
    public void initialize(UimaContext aContext) throws ResourceInitializationException {
        super.initialize(aContext);
        try {
            // load tksvm classifier
            TKSVMlightClassifierBuilder builder = new TKSVMlightClassifierBuilder();
            classifier = builder.loadClassifierFromTrainingDirectory(outputDirectory);
        } catch (IOException e) {
            throw new ResourceInitializationException(e);
        }
    }

    @Override
    public void process(JCas aJCas) throws AnalysisEngineProcessException {
        // create a new instance for each PennTree
        for (PennTree t : JCasUtil.select(aJCas, PennTree.class)) {
            HideOutput hide = new HideOutput();
            Feature tree = new Feature("TK_tree", StringUtils.normalizeSpace(t.getPennTree()));
            boolean gold = parseBool(DocumentMetaData.get(aJCas).getDocumentTitle());
            boolean clas = classifier.classify(Arrays.asList(tree));
            hide.restoreOutput();

            if (gold == true) {
                if (clas == true) {
                    tp++;
                } else {
                    fn++;
                }
            } else {
                if (clas == true) {
                    fp++;
                } else {
                    tn++;
                }
            }
        }
    }

    @Override
    public void collectionProcessComplete() throws AnalysisEngineProcessException {
        super.collectionProcessComplete();
        double accuracy = (tp + tn) / (tp + tn + fp + fn);
        double precision = tp / (tp + fp);
        double recall = tp / (tp + fn);
        double fmeasure = 2 * precision * recall / (precision + recall);

        System.out.println("\nTest results ------");
        System.out.println("Total instances classified: " + (int) (tp + tn + fp + fn));
        System.out.println("TP[" + (int) tp + "] FP[" + (int) fp + "] FN[" + (int) fn + "] TN[" + (int) tn + "]");
        System.out.println("Accuracy:  " + accuracy);
        System.out.println("Precision: " + precision);
        System.out.println("Recall:    " + recall);
        System.out.println("F-Measure: " + fmeasure);
    }

    private Boolean parseBool(String aResult) {
        if (aResult.equalsIgnoreCase("correct")) {
            return true;
        } else if (aResult.equalsIgnoreCase("wrong")) {
            return false;
        } else {
            throw new IllegalArgumentException("This should not happen. >:(");
        }
    }
}