Package dkpro.similarity.experiments.rte.util

Source Code of dkpro.similarity.experiments.rte.util.CharacterNGramIdfValuesGenerator

/*******************************************************************************
* Copyright 2013
* Ubiquitous Knowledge Processing (UKP) Lab
* Technische Universität Darmstadt
*
* All rights reserved. This program and the accompanying materials
* are made available under the terms of the GNU Public License v3.0
* which accompanies this distribution, and is available at
* http://www.gnu.org/licenses/gpl-3.0.txt
******************************************************************************/
package dkpro.similarity.experiments.rte.util;

import static dkpro.similarity.experiments.rte.Pipeline.UTILS_DIR;

import java.io.File;
import java.util.ArrayList;
import java.util.Collection;
import java.util.HashMap;
import java.util.HashSet;
import java.util.List;
import java.util.Map;
import java.util.Set;

import org.apache.commons.io.FileUtils;

import dkpro.similarity.algorithms.lexical.ngrams.CharacterNGramMeasure;
import dkpro.similarity.experiments.rte.Pipeline.Dataset;


public class CharacterNGramIdfValuesGenerator
{
  static final String LF = System.getProperty("line.separator");
 
  public static void computeIdfScores(Dataset dataset, int n)
    throws Exception
 
    System.out.println("Computing character " + n + "-grams");
     
    File outputFile = new File(UTILS_DIR + "/character-ngrams-idf/" + n + "/" + RteUtil.getCommonDatasetName(dataset) + ".txt");
   
    if (outputFile.exists())
    {
      System.out.println(" - skipping, already exists");
    }
    else
    {
      // Input data
      File inputDir = new File(UTILS_DIR + "/plaintexts/" + RteUtil.getCommonDatasetName(dataset));
     
      Collection<File> files = FileUtils.listFiles(
          inputDir,
          new String[] { "txt" },
          false);

      // Map to hold the idf values
      Map<String, Double> idfValues = new HashMap<String, Double>();
     
      CharacterNGramMeasure measure = new CharacterNGramMeasure(n, new HashMap<String, Double>());
     
      // Get n-gram representations of texts
      List<Set<String>> docs = new ArrayList<Set<String>>();
     
      for (File file : files)
      {     
        Set<String> ngrams = measure.getNGrams(FileUtils.readFileToString(file));
       
        docs.add(ngrams);
      }
     
      // Get all ngrams
      Set<String> allNGrams = new HashSet<String>();
      for (Set<String> doc : docs) {
                allNGrams.addAll(doc);
            }
     
      // Compute idf values     
      for (String ngram : allNGrams)
      {
        double count = 0;
        for (Set<String> doc : docs)
        {         
          if (doc.contains(ngram)) {
                        count++;
                    }
        }
        idfValues.put(ngram, count);
      }
     
      // Compute the idf
      for (String lemma : idfValues.keySet())
      {
        double idf = Math.log10(files.size() / idfValues.get(lemma));
        idfValues.put(lemma, idf);
      }
     
      // Store persistently
      StringBuilder sb = new StringBuilder();
      for (String key : idfValues.keySet())
      {
        sb.append(key + "\t" + idfValues.get(key) + LF);
      }
      FileUtils.writeStringToFile(outputFile, sb.toString());
     
      System.out.println(" - done");
    }
  }
}
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