Examples with structures._SparseFeature structures._SparseFeature used on opensource projects

Example 26 with structures._SparseFeature

use of structures._SparseFeature in project IR_Base by Linda-sunshine.

the class HTMM method accPhiStat.

// probabilities of topic assignment
void accPhiStat(_Doc d) {
    double prob;
    for (int t = 0; t < d.getSenetenceSize(); t++) {
        _Stn s = d.getSentence(t);
        for (_SparseFeature f : s.getFv()) {
            int wid = f.getIndex();
            // frequency
            double v = f.getValue();
            for (int i = 0; i < this.number_of_topics; i++) {
                prob = this.p_dwzpsi[t][i];
                for (int j = 1; j < this.constant; j++) prob += this.p_dwzpsi[t][i + j * this.number_of_topics];
                this.word_topic_sstat[i][wid] += v * prob;
            }
        }
    }
}

Example 27 with structures._SparseFeature

use of structures._SparseFeature in project IR_Base by Linda-sunshine.

the class HTMM method docSummary.

public void docSummary(String[] productList) {
    for (String prodID : productList) {
        for (int i = 0; i < this.number_of_topics; i++) {
            // top three sentences per topic per product
            MyPriorityQueue<_RankItem> stnQueue = new MyPriorityQueue<_RankItem>(3);
            for (_Doc d : m_trainSet) {
                if (d.getItemID().equalsIgnoreCase(prodID)) {
                    for (int j = 0; j < d.getSenetenceSize(); j++) {
                        _Stn sentence = d.getSentence(j);
                        double prob = d.m_topics[i];
                        for (_SparseFeature f : sentence.getFv()) prob += f.getValue() * topic_term_probabilty[i][f.getIndex()];
                        prob /= sentence.getLength();
                        stnQueue.add(new _RankItem(sentence.getRawSentence(), prob));
                    }
                }
            }
            System.out.format("Product: %s, Topic: %d\n", prodID, i);
            summaryWriter.format("Product: %s, Topic: %d\n", prodID, i);
            for (_RankItem it : stnQueue) {
                System.out.format("%s\t%.3f\n", it.m_name, it.m_value);
                summaryWriter.format("%s\t%.3f\n", it.m_name, it.m_value);
            }
        }
    }
    summaryWriter.flush();
    summaryWriter.close();
}

Example 28 with structures._SparseFeature

use of structures._SparseFeature in project IR_Base by Linda-sunshine.

the class outputFile method outputFiles.

public static void outputFiles(String filePrefix, _Corpus c) {
    try {
        String selectedSentencesinParentFile = filePrefix + "/selected_Stn.txt";
        String selectedCommentsFile = filePrefix + "/selected_Comments.txt";
        String sctmFormatParentFile = filePrefix + "/abagf.AT.txt";
        String sctmFormatChildFile = filePrefix + "/cbagf.AT.txt";
        String sctmWordFile = filePrefix + "/words.AT.txt";
        String stnLengthFile = filePrefix + "/selected_StnLength.txt";
        String shortStnFile = filePrefix + "/selected_ShortStn.txt";
        String longStnFile = filePrefix + "/selected_LongStn.txt";
        if (c.getFeatureSize() != 0) {
            PrintWriter wordPW = new PrintWriter(new File(sctmWordFile));
            for (int i = 0; i < c.getFeatureSize(); i++) {
                String wordName = c.getFeature(i);
                wordPW.println(wordName);
            }
            wordPW.flush();
            wordPW.close();
        }
        PrintWriter stnLengthPW = new PrintWriter(new File(stnLengthFile));
        PrintWriter shortParentPW = new PrintWriter(new File(shortStnFile));
        PrintWriter longParentPW = new PrintWriter(new File(longStnFile));
        PrintWriter parentPW = new PrintWriter(new File(selectedSentencesinParentFile));
        PrintWriter childPW = new PrintWriter(new File(selectedCommentsFile));
        PrintWriter sctmParentPW = new PrintWriter(new File(sctmFormatParentFile));
        PrintWriter sctmChildPW = new PrintWriter(new File(sctmFormatChildFile));
        int totoalParentNum = 0;
        TreeMap<Integer, _ParentDoc> parentMap = new TreeMap<Integer, _ParentDoc>();
        int totalStnNum = 0;
        ArrayList<_Doc> m_trainSet = c.getCollection();
        ArrayList<Integer> parentNameList = new ArrayList<Integer>();
        for (_Doc d : m_trainSet) {
            if (d instanceof _ParentDoc) {
                // HashMap<Integer, _Stn> stnMap = ((_ParentDoc)
                // d).m_sentenceMap;
                totoalParentNum += 1;
                String parentName = d.getName();
                parentMap.put(Integer.parseInt(parentName), (_ParentDoc) d);
                parentNameList.add(Integer.parseInt(parentName));
            }
        }
        ArrayList<Double> parentDocLenList = new ArrayList<Double>();
        ArrayList<Double> childDocLenList = new ArrayList<Double>();
        double parentDocLenSum = 0;
        double childDocLenSum = 0;
        for (int parentID : parentMap.keySet()) {
            _ParentDoc parentObj = parentMap.get(parentID);
            double parentDocLen = parentObj.getTotalDocLength();
            parentDocLenSum += parentDocLen;
            parentDocLenList.add(parentDocLen);
            for (_ChildDoc cDoc : parentObj.m_childDocs) {
                double childDocLen = cDoc.getTotalDocLength();
                childDocLenList.add(childDocLen);
                childDocLenSum += childDocLen;
            }
            _Stn[] sentenceArray = parentObj.getSentences();
            int selectedStn = 0;
            for (int i = 0; i < sentenceArray.length; i++) {
                _Stn stnObj = sentenceArray[i];
                if (stnObj == null)
                    continue;
                selectedStn += 1;
                stnLengthPW.println(stnObj.getLength());
            // if(stnObj==null)
            // continue;
            // selectedStn += 1;
            }
            totalStnNum += selectedStn;
            parentPW.print(parentID + "\t" + selectedStn + "\t");
            shortParentPW.print(parentID + "\t");
            longParentPW.print(parentID + "\t");
            for (int i = 0; i < sentenceArray.length; i++) {
                _Stn stnObj = sentenceArray[i];
                if (stnObj == null)
                    continue;
                if (stnObj.getLength() < 15)
                    shortParentPW.print((stnObj.getIndex() + 1) + "\t");
                else
                    longParentPW.print((stnObj.getIndex() + 1) + "\t");
                parentPW.print((stnObj.getIndex() + 1) + "\t");
            }
            parentPW.println();
            longParentPW.println();
            shortParentPW.println();
        }
        System.out.println("longest child\t" + Collections.max(childDocLenList));
        System.out.println("shortest child\t" + Collections.min(childDocLenList));
        System.out.println("parent doc len\t" + parentDocLenSum / parentDocLenList.size());
        System.out.println("child doc len\t" + childDocLenSum / childDocLenList.size());
        parentPW.flush();
        parentPW.close();
        stnLengthPW.flush();
        stnLengthPW.close();
        shortParentPW.flush();
        shortParentPW.close();
        longParentPW.flush();
        longParentPW.close();
        sctmParentPW.println(totoalParentNum);
        sctmChildPW.println(totoalParentNum);
        System.out.println("stnNum" + totalStnNum);
        for (int parentID : parentMap.keySet()) {
            _ParentDoc d = parentMap.get(parentID);
            // HashMap<Integer, _Stn> stnMap = ((_ParentDoc)
            // d).m_sentenceMap;
            _Stn[] sentenceArray = (d).getSentences();
            int selectedStn = 0;
            for (int i = 0; i < sentenceArray.length; i++) {
                _Stn stnObj = sentenceArray[i];
                if (stnObj == null)
                    continue;
                selectedStn += 1;
            }
            sctmParentPW.println(selectedStn);
            for (int i = 0; i < sentenceArray.length; i++) {
                _Stn stnObj = sentenceArray[i];
                if (stnObj == null)
                    continue;
                _SparseFeature[] sv = stnObj.getFv();
                sctmParentPW.print((int) stnObj.getLength() + "\t");
                for (int j = 0; j < sv.length; j++) {
                    int index = sv[j].getIndex();
                    double value = sv[j].getValue();
                    for (int v = 0; v < value; v++) sctmParentPW.print(index + "\t");
                }
                sctmParentPW.println();
            }
            ArrayList<_ChildDoc> childDocs = ((_ParentDoc) d).m_childDocs;
            sctmChildPW.println(childDocs.size());
            String parentName = d.getName();
            TreeMap<Integer, _ChildDoc> childMap = new TreeMap<Integer, _ChildDoc>();
            for (_ChildDoc cDoc : childDocs) {
                String childName = cDoc.getName();
                int childID = Integer.parseInt(childName.replace(parentName + "_", ""));
                childMap.put(childID, cDoc);
            }
            childPW.print(parentName + "\t");
            for (int t : childMap.keySet()) {
                _ChildDoc cDoc = childMap.get(t);
                sctmChildPW.print((int) cDoc.getTotalDocLength() + "\t");
                childPW.print(cDoc.getName() + "\t");
                // System.out.println(cDoc.getName() + "\t");
                _SparseFeature[] fv = cDoc.getSparse();
                for (int j = 0; j < fv.length; j++) {
                    int index = fv[j].getIndex();
                    double value = fv[j].getValue();
                    for (int v = 0; v < value; v++) {
                        sctmChildPW.print(index + "\t");
                    }
                }
                sctmChildPW.println();
            }
            childPW.println();
        }
        sctmParentPW.flush();
        sctmParentPW.close();
        sctmChildPW.flush();
        sctmChildPW.close();
        childPW.flush();
        childPW.close();
    } catch (Exception e) {
        e.printStackTrace();
    }
}

Example 29 with structures._SparseFeature

use of structures._SparseFeature in project IR_Base by Linda-sunshine.

the class Utils method sumOfFeaturesL2.

// L2 normalization: fsValue/sqrt(sum of fsValue*fsValue)
public static double sumOfFeaturesL2(_SparseFeature[] fs) {
    if (fs == null)
        return 0;
    double sum = 0;
    for (_SparseFeature feature : fs) {
        double value = feature.getValue();
        sum += value * value;
    }
    return Math.sqrt(sum);
}

Example 30 with structures._SparseFeature

use of structures._SparseFeature in project IR_Base by Linda-sunshine.

the class Utils method RBF.

public static double RBF(_SparseFeature[] spVct1, _SparseFeature[] spVct2, double delta) {
    if (spVct1.length == 0 || spVct2.length == 0)
        return 0;
    else {
        double similarity = 0;
        int p1 = 0, p2 = 0;
        while (p1 < spVct1.length && p2 < spVct2.length) {
            _SparseFeature t1 = spVct1[p1];
            _SparseFeature t2 = spVct2[p2];
            if (t1.getIndex() == t2.getIndex()) {
                similarity += (t1.getValue() - t2.getValue()) * (t1.getValue() - t2.getValue());
                p1++;
                p2++;
            } else if (t1.getIndex() > t2.getIndex())
                p2++;
            else
                p1++;
        }
        return Math.exp(-similarity / delta);
    }
}