/**
* 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;
/**
* A quite generic full-text extractor solely based upon the number of words per
* block (the current, the previous and the next block).
*
* @author Christian Kohlschütter
*/
public class NumWordsRulesExtractor extends ExtractorBase {
public static final NumWordsRulesExtractor INSTANCE = new NumWordsRulesExtractor();
/**
* Returns the singleton instance for {@link de.l3s.boilerpipe.extractors.NumWordsRulesExtractor}.
*/
public static NumWordsRulesExtractor getInstance() {
return INSTANCE;
}
public boolean process(TextDocument doc)
throws BoilerpipeProcessingException {
return NumWordsRulesClassifier.INSTANCE.process(doc);
}
}