001/**
002 * Copyright (c) 2011, The University of Southampton and the individual contributors.
003 * All rights reserved.
004 *
005 * Redistribution and use in source and binary forms, with or without modification,
006 * are permitted provided that the following conditions are met:
007 *
008 *   *  Redistributions of source code must retain the above copyright notice,
009 *      this list of conditions and the following disclaimer.
010 *
011 *   *  Redistributions in binary form must reproduce the above copyright notice,
012 *      this list of conditions and the following disclaimer in the documentation
013 *      and/or other materials provided with the distribution.
014 *
015 *   *  Neither the name of the University of Southampton nor the names of its
016 *      contributors may be used to endorse or promote products derived from this
017 *      software without specific prior written permission.
018 *
019 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
020 * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
021 * WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
022 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
023 * ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
024 * (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
025 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
026 * ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
027 * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
028 * SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
029 */
030package org.openimaj.text.nlp.sentiment.model.classifier;
031
032import java.util.ArrayList;
033import java.util.List;
034
035import org.openimaj.ml.annotation.Annotated;
036import org.openimaj.ml.annotation.bayes.NaiveBayesAnnotator;
037import org.openimaj.text.nlp.sentiment.type.Sentiment;
038
039/**
040 * A {@link NaiveBayesAnnotator} for sentiment analysis.
041 * 
042 * @author
043 * 
044 * @param <SENTIMENT>
045 *            {@link Sentiment} object that will be the annotation.
046 */
047public class NaiveBayesSentimentAnnotator<SENTIMENT extends Sentiment>
048                extends
049                NaiveBayesAnnotator<List<String>, SENTIMENT>
050{
051
052        private static GeneralSentimentFeatureExtractor ext;
053
054        public NaiveBayesSentimentAnnotator(NaiveBayesAnnotator.Mode mode) {
055                super(ext = new GeneralSentimentFeatureExtractor(), mode);
056        }
057
058        @Override
059        public void train(
060                        Iterable<? extends Annotated<List<String>, SENTIMENT>> data)
061        {
062                final List<List<String>> rawTokens = new ArrayList<List<String>>();
063                for (final Annotated<List<String>, SENTIMENT> anno : data) {
064                        rawTokens.add(anno.getObject());
065                }
066
067                ext.initialize(rawTokens);
068
069                super.train(data);
070        }
071}