/** * Copyright (C) 2013 Christian Kohlschütter (ckkohl79@gmail.com) * * 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.l3s.boilerpipe.extractors; import de.l3s.boilerpipe.BoilerpipeProcessingException; import de.l3s.boilerpipe.document.TextDocument; import de.l3s.boilerpipe.filters.english.NumWordsRulesClassifier; import de.l3s.boilerpipe.filters.heuristics.BlockProximityFusion; import de.l3s.boilerpipe.filters.heuristics.KeepLargestBlockFilter; /** * A full-text extractor which extracts the largest text component of a page. * For news articles, it may perform better than the {@link de.l3s.boilerpipe.extractors.DefaultExtractor}, * but usually worse than {@link de.l3s.boilerpipe.extractors.ArticleExtractor}. * * @author Christian Kohlschütter */ public final class LargestContentExtractor extends ExtractorBase { public static final LargestContentExtractor INSTANCE = new LargestContentExtractor(); private LargestContentExtractor() { } /** * Returns the singleton instance for {@link de.l3s.boilerpipe.extractors.LargestContentExtractor}. */ public static LargestContentExtractor getInstance() { return INSTANCE; } public boolean process(TextDocument doc) throws BoilerpipeProcessingException { return NumWordsRulesClassifier.INSTANCE.process(doc) | BlockProximityFusion.MAX_DISTANCE_1.process(doc) | KeepLargestBlockFilter.INSTANCE.process(doc); } }