org.apache.nutch.scoring.similarity.DocumentVector.java Source code

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Here is the source code for org.apache.nutch.scoring.similarity.DocumentVector.java

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/**
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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 org.apache.nutch.scoring.similarity;

import java.io.IOException;
import java.io.Reader;
import java.util.HashMap;
import java.util.Map;

import org.apache.commons.io.IOUtils;
import org.apache.hadoop.conf.Configuration;

public class DocumentVector {

    Map<String, Integer> termFreqVect;

    public DocumentVector(String text, Configuration conf) {

        termFreqVect = new HashMap<String, Integer>();
        createDocVect(text);
        removeStopWords(conf);
    }

    private void createDocVect(String text) {
        if (text != null) {
            String[] tokens = text.replaceAll("[^a-zA-Z0-9 ]", " ").toLowerCase().split("\\s+");
            for (String token : tokens) {
                if (termFreqVect.containsKey(token)) {
                    int count = termFreqVect.get(token) + 1;
                    termFreqVect.put(token, count);
                } else
                    termFreqVect.put(token, 1);
            }
        }
    }

    public Map<String, Integer> getTermFreqVect() {
        return termFreqVect;
    }

    private void removeStopWords(Configuration conf) {
        String stopWordFilePath = conf.get("scoring.similarity.stopword.file");
        Reader reader = conf.getConfResourceAsReader(stopWordFilePath);
        try {
            String[] stopWordList1 = IOUtils.toString(reader).split("\n");
            for (String stopWord : stopWordList1) {
                stopWord = stopWord.trim();
                if (termFreqVect.containsKey(stopWord)) {
                    termFreqVect.remove(stopWord);
                }
            }
        } catch (IOException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        }
    }
}