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

Example 36 with structures._Stn

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

the class DCMCorrLDA_multi_E_test method rankChild4StnByLikelihood.

protected HashMap<String, Double> rankChild4StnByLikelihood(_Stn stnObj, _ParentDoc4DCM pDoc) {
    HashMap<String, Double> likelihoodMap = new HashMap<String, Double>();
    for (_ChildDoc cDoc : pDoc.m_childDocs) {
        double stnLogLikelihood = 0;
        for (_Word w : stnObj.getWords()) {
            double wordLikelihood = 0;
            int wid = w.getIndex();
            for (int k = 0; k < number_of_topics; k++) {
                wordLikelihood += cDoc.m_topics[k] * pDoc.m_wordTopic_prob[k][wid];
            }
            stnLogLikelihood += wordLikelihood;
        }
        likelihoodMap.put(cDoc.getName(), stnLogLikelihood);
    }
    return likelihoodMap;
}

Example 37 with structures._Stn

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

the class DCMCorrLDA_test method printTopKChild4Stn.

protected void printTopKChild4Stn(String filePrefix, int topK) {
    String topKChild4StnFile = filePrefix + "topChild4Stn.txt";
    try {
        PrintWriter pw = new PrintWriter(new File(topKChild4StnFile));
        for (_Doc d : m_trainSet) {
            if (d instanceof _ParentDoc4DCM) {
                _ParentDoc4DCM pDoc = (_ParentDoc4DCM) d;
                pw.println(pDoc.getName() + "\t" + pDoc.getSenetenceSize());
                for (_Stn stnObj : pDoc.getSentences()) {
                    HashMap<String, Double> likelihoodMap = rankChild4StnByLikelihood(stnObj, pDoc);
                    int i = 0;
                    pw.print((stnObj.getIndex() + 1) + "\t");
                    for (String e : likelihoodMap.keySet()) {
                        pw.print(e);
                        pw.print(":" + likelihoodMap.get(e));
                        pw.print("\t");
                        i++;
                    }
                    pw.println();
                }
            }
        }
    } catch (Exception e) {
        e.printStackTrace();
    }
}

Example 38 with structures._Stn

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

the class DCMCorrLDA_test method rankChild4StnByLikelihood.

protected HashMap<String, Double> rankChild4StnByLikelihood(_Stn stnObj, _ParentDoc4DCM pDoc) {
    HashMap<String, Double> likelihoodMap = new HashMap<String, Double>();
    for (_ChildDoc cDoc : pDoc.m_childDocs) {
        double stnLogLikelihood = 0;
        for (_Word w : stnObj.getWords()) {
            double wordLikelihood = 0;
            int wid = w.getIndex();
            for (int k = 0; k < number_of_topics; k++) {
                wordLikelihood += childTopicInDocProb(k, cDoc, pDoc) * childWordByTopicProb(k, wid, pDoc);
            }
            stnLogLikelihood += wordLikelihood;
        }
        likelihoodMap.put(cDoc.getName(), stnLogLikelihood);
    }
    return likelihoodMap;
}

Example 39 with structures._Stn

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

the class DCMLDA4AC method initTestDoc.

public void initTestDoc(ArrayList<_Doc> sampleTestSet, _Doc d) {
    _ParentDoc4DCM pDoc = (_ParentDoc4DCM) d;
    for (_Stn stnObj : pDoc.getSentences()) {
        stnObj.setTopicsVct(number_of_topics);
    }
    int testLength = 0;
    pDoc.setTopics4GibbsTest(number_of_topics, 0, testLength, vocabulary_size);
    sampleTestSet.add(pDoc);
    for (_ChildDoc cDoc : pDoc.m_childDocs) {
        testLength = (int) (m_testWord4PerplexityProportion * cDoc.getTotalDocLength());
        cDoc.setTopics4GibbsTest(number_of_topics, d_alpha, testLength);
        for (_Word w : d.getWords()) {
            int wid = w.getIndex();
            int tid = w.getTopic();
            pDoc.m_wordTopic_stat[tid][wid]++;
            pDoc.m_topic_stat[tid]++;
        }
        sampleTestSet.add(cDoc);
        cDoc.createSparseVct4Infer();
    }
}

Example 40 with structures._Stn

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

the class AspectAnalyzer method collectStats.

void collectStats(_Doc d) {
    int aspectID, wordID;
    for (_Stn s : d.getSentences()) {
        if ((aspectID = s.getTopic()) > -1) {
            // if it is annotated
            for (_SparseFeature f : s.getFv()) {
                wordID = f.getIndex();
                m_featureStat.get(m_featureNames.get(wordID)).addOneDF(aspectID);
            }
            m_aspectDist[aspectID]++;
        }
    }
}