Ejemplo n.º 1
0
  public TopicModelDiagnostics(ParallelTopicModel model, int numTopWords) {
    numTopics = model.getNumTopics();
    this.numTopWords = numTopWords;

    this.model = model;

    alphabet = model.getAlphabet();
    topicSortedWords = model.getSortedWords();

    topicTopWords = new String[numTopics][numTopWords];

    numRank1Documents = new int[numTopics];
    numNonZeroDocuments = new int[numTopics];
    numDocumentsAtProportions = new int[numTopics][DEFAULT_DOC_PROPORTIONS.length];
    sumCountTimesLogCount = new double[numTopics];

    diagnostics = new ArrayList<TopicScores>();

    for (int topic = 0; topic < numTopics; topic++) {

      int position = 0;
      TreeSet<IDSorter> sortedWords = topicSortedWords.get(topic);

      // How many words should we report? Some topics may have fewer than
      //  the default number of words with non-zero weight.
      int limit = numTopWords;
      if (sortedWords.size() < numTopWords) {
        limit = sortedWords.size();
      }

      Iterator<IDSorter> iterator = sortedWords.iterator();
      for (int i = 0; i < limit; i++) {
        IDSorter info = iterator.next();
        topicTopWords[topic][i] = (String) alphabet.lookupObject(info.getID());
      }
    }

    collectDocumentStatistics();

    diagnostics.add(getTokensPerTopic(model.tokensPerTopic));
    diagnostics.add(getDocumentEntropy(model.tokensPerTopic));
    diagnostics.add(getWordLengthScores());
    diagnostics.add(getCoherence());
    diagnostics.add(getDistanceFromUniform());
    diagnostics.add(getDistanceFromCorpus());
    diagnostics.add(getEffectiveNumberOfWords());
    diagnostics.add(getTokenDocumentDiscrepancies());
    diagnostics.add(getRank1Percent());
    diagnostics.add(getDocumentPercentRatio(FIFTY_PERCENT_INDEX, TWO_PERCENT_INDEX));
    diagnostics.add(getDocumentPercent(5));
    diagnostics.add(getExclusivity());
  }
Ejemplo n.º 2
0
 public String toString() {
   StringBuffer sb = new StringBuffer();
   for (int fsi = 0; fsi < length; fsi++) {
     Object o = dictionary.lookupObject(features[fsi]);
     sb.append(fsi);
     sb.append(": ");
     sb.append(o.toString());
     sb.append(" (");
     sb.append(features[fsi]);
     sb.append(")\n");
   }
   return sb.toString();
 }
Ejemplo n.º 3
0
 public void printState(PrintWriter pw) {
   Alphabet a = ilist.getDataAlphabet();
   pw.println("#doc pos typeindex type topic");
   for (int di = 0; di < topics.length; di++) {
     FeatureSequence fs = (FeatureSequence) ilist.get(di).getData();
     for (int si = 0; si < topics[di].length; si++) {
       int type = fs.getIndexAtPosition(si);
       pw.print(di);
       pw.print(' ');
       pw.print(si);
       pw.print(' ');
       pw.print(type);
       pw.print(' ');
       pw.print(a.lookupObject(type));
       pw.print(' ');
       pw.print(topics[di][si]);
       pw.println();
     }
   }
 }
Ejemplo n.º 4
0
  public void printCounts() {

    Alphabet alphabet = instances.getDataAlphabet();

    NumberFormat nf = NumberFormat.getInstance();
    nf.setMinimumFractionDigits(0);
    nf.setMaximumFractionDigits(6);
    nf.setGroupingUsed(false);

    for (int feature = 0; feature < numFeatures; feature++) {

      Formatter formatter = new Formatter(new StringBuilder(), Locale.US);

      formatter.format(
          "%s\t%s\t%d",
          alphabet.lookupObject(feature).toString(),
          nf.format(featureCounts[feature]),
          documentFrequencies[feature]);

      System.out.println(formatter);
    }
  }
Ejemplo n.º 5
0
 public void printState(PrintWriter pw) {
   pw.println("#doc pos typeindex type bigrampossible? topic bigram");
   for (int di = 0; di < topics.length; di++) {
     FeatureSequenceWithBigrams fs = (FeatureSequenceWithBigrams) ilist.get(di).getData();
     for (int si = 0; si < topics[di].length; si++) {
       int type = fs.getIndexAtPosition(si);
       pw.print(di);
       pw.print(' ');
       pw.print(si);
       pw.print(' ');
       pw.print(type);
       pw.print(' ');
       pw.print(uniAlphabet.lookupObject(type));
       pw.print(' ');
       pw.print(fs.getBiIndexAtPosition(si) == -1 ? 0 : 1);
       pw.print(' ');
       pw.print(topics[di][si]);
       pw.print(' ');
       pw.print(grams[di][si]);
       pw.println();
     }
   }
 }
Ejemplo n.º 6
0
  /**
   * Remove features from the sequence that occur fewer than <code>cutoff</code> times in the
   * corpus, as indicated by the provided counts. Also swap in the new, reduced alphabet. This
   * method alters the instance in place; it is not appropriate if the original instance will be
   * needed.
   */
  public void prune(double[] counts, Alphabet newAlphabet, int cutoff) {
    // The goal is to replace the sequence of features in place, by
    //  creating a new array and then swapping it in.

    // First: figure out how long the new array will have to be

    int newLength = 0;
    for (int i = 0; i < length; i++) {
      if (counts[features[i]] >= cutoff) {
        newLength++;
      }
    }

    // Second: allocate a new features array

    int[] newFeatures = new int[newLength];

    // Third: fill the new array

    int newIndex = 0;
    for (int i = 0; i < length; i++) {
      if (counts[features[i]] >= cutoff) {

        Object feature = dictionary.lookupObject(features[i]);
        newFeatures[newIndex] = newAlphabet.lookupIndex(feature);

        newIndex++;
      }
    }

    // Fourth: swap out the arrays

    features = newFeatures;
    length = newLength;
    dictionary = newAlphabet;
  }
Ejemplo n.º 7
0
 // xxx This method name seems a bit ambiguous?
 public Object get(int pos) {
   return dictionary.lookupObject(features[pos]);
 }
Ejemplo n.º 8
0
  public void printTopWords(int numWords, boolean useNewLines) {
    class WordProb implements Comparable {
      int wi;
      double p;

      public WordProb(int wi, double p) {
        this.wi = wi;
        this.p = p;
      }

      public final int compareTo(Object o2) {
        if (p > ((WordProb) o2).p) return -1;
        else if (p == ((WordProb) o2).p) return 0;
        else return 1;
      }
    }

    for (int ti = 0; ti < numTopics; ti++) {
      // Unigrams
      WordProb[] wp = new WordProb[numTypes];
      for (int wi = 0; wi < numTypes; wi++)
        wp[wi] = new WordProb(wi, (double) unitypeTopicCounts[wi][ti]);
      Arrays.sort(wp);
      int numToPrint = Math.min(wp.length, numWords);
      if (useNewLines) {
        System.out.println("\nTopic " + ti + " unigrams");
        for (int i = 0; i < numToPrint; i++)
          System.out.println(
              uniAlphabet.lookupObject(wp[i].wi).toString() + " " + wp[i].p / tokensPerTopic[ti]);
      } else {
        System.out.print("Topic " + ti + ": ");
        for (int i = 0; i < numToPrint; i++)
          System.out.print(uniAlphabet.lookupObject(wp[i].wi).toString() + " ");
      }

      // Bigrams
      /*
      wp = new WordProb[numBitypes];
      int bisum = 0;
      for (int wi = 0; wi < numBitypes; wi++) {
      	wp[wi] = new WordProb (wi, ((double)bitypeTopicCounts[wi][ti]));
      	bisum += bitypeTopicCounts[wi][ti];
      }
      Arrays.sort (wp);
      numToPrint = Math.min(wp.length, numWords);
      if (useNewLines) {
      	System.out.println ("\nTopic "+ti+" bigrams");
      	for (int i = 0; i < numToPrint; i++)
      		System.out.println (biAlphabet.lookupObject(wp[i].wi).toString() + " " + wp[i].p/bisum);
      } else {
      	System.out.print ("          ");
      	for (int i = 0; i < numToPrint; i++)
      		System.out.print (biAlphabet.lookupObject(wp[i].wi).toString() + " ");
      	System.out.println();
      }
      */

      // Ngrams
      AugmentableFeatureVector afv = new AugmentableFeatureVector(new Alphabet(), 10000, false);
      for (int di = 0; di < topics.length; di++) {
        FeatureSequenceWithBigrams fs = (FeatureSequenceWithBigrams) ilist.get(di).getData();
        for (int si = topics[di].length - 1; si >= 0; si--) {
          if (topics[di][si] == ti && grams[di][si] == 1) {
            String gramString = uniAlphabet.lookupObject(fs.getIndexAtPosition(si)).toString();
            while (grams[di][si] == 1 && --si >= 0)
              gramString =
                  uniAlphabet.lookupObject(fs.getIndexAtPosition(si)).toString() + "_" + gramString;
            afv.add(gramString, 1.0);
          }
        }
      }
      // System.out.println ("pre-sorting");
      int numNgrams = afv.numLocations();
      // System.out.println ("post-sorting "+numNgrams);
      wp = new WordProb[numNgrams];
      int ngramSum = 0;
      for (int loc = 0; loc < numNgrams; loc++) {
        wp[loc] = new WordProb(afv.indexAtLocation(loc), afv.valueAtLocation(loc));
        ngramSum += wp[loc].p;
      }
      Arrays.sort(wp);
      int numUnitypeTokens = 0, numBitypeTokens = 0, numUnitypeTypes = 0, numBitypeTypes = 0;
      for (int fi = 0; fi < numTypes; fi++) {
        numUnitypeTokens += unitypeTopicCounts[fi][ti];
        if (unitypeTopicCounts[fi][ti] != 0) numUnitypeTypes++;
      }
      for (int fi = 0; fi < numBitypes; fi++) {
        numBitypeTokens += bitypeTopicCounts[fi][ti];
        if (bitypeTopicCounts[fi][ti] != 0) numBitypeTypes++;
      }

      if (useNewLines) {
        System.out.println(
            "\nTopic "
                + ti
                + " unigrams "
                + numUnitypeTokens
                + "/"
                + numUnitypeTypes
                + " bigrams "
                + numBitypeTokens
                + "/"
                + numBitypeTypes
                + " phrases "
                + Math.round(afv.oneNorm())
                + "/"
                + numNgrams);
        for (int i = 0; i < Math.min(numNgrams, numWords); i++)
          System.out.println(
              afv.getAlphabet().lookupObject(wp[i].wi).toString() + " " + wp[i].p / ngramSum);
      } else {
        System.out.print(
            " (unigrams "
                + numUnitypeTokens
                + "/"
                + numUnitypeTypes
                + " bigrams "
                + numBitypeTokens
                + "/"
                + numBitypeTypes
                + " phrases "
                + Math.round(afv.oneNorm())
                + "/"
                + numNgrams
                + ")\n         ");
        // System.out.print (" (unique-ngrams="+numNgrams+"
        // ngram-count="+Math.round(afv.oneNorm())+")\n         ");
        for (int i = 0; i < Math.min(numNgrams, numWords); i++)
          System.out.print(afv.getAlphabet().lookupObject(wp[i].wi).toString() + " ");
        System.out.println();
      }
    }
  }