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Example 31 with structures._Word

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

the class DCMCorrLDA method initialize_probability.

protected void initialize_probability(Collection<_Doc> collection) {
    m_alpha_c = new double[number_of_topics];
    m_alphaAuxilary = new double[number_of_topics];
    m_alpha = new double[number_of_topics];
    m_beta = new double[number_of_topics][vocabulary_size];
    m_totalAlpha = 0;
    m_totalAlpha_c = 0;
    m_totalBeta = new double[number_of_topics];
    m_topic_word_prob = new double[number_of_topics][vocabulary_size];
    for (_Doc d : collection) {
        if (d instanceof _ParentDoc4DCM) {
            _ParentDoc4DCM pDoc = (_ParentDoc4DCM) d;
            pDoc.setTopics4Gibbs(number_of_topics, 0, vocabulary_size);
            for (_Stn stnObj : d.getSentences()) {
                stnObj.setTopicsVct(number_of_topics);
            }
            for (_ChildDoc cDoc : pDoc.m_childDocs) {
                cDoc.setTopics4Gibbs_LDA(number_of_topics, 0);
                for (_Word w : cDoc.getWords()) {
                    int wid = w.getIndex();
                    int tid = w.getTopic();
                    pDoc.m_wordTopic_stat[tid][wid]++;
                    pDoc.m_topic_stat[tid]++;
                }
                computeMu4Doc(cDoc);
            }
        }
    }
    initialAlphaBeta();
    imposePrior();
}
Also used : structures._Stn(structures._Stn) structures._ChildDoc(structures._ChildDoc) structures._Doc(structures._Doc) structures._ParentDoc4DCM(structures._ParentDoc4DCM) structures._Word(structures._Word)

Example 32 with structures._Word

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

the class DCMCorrLDA method sampleInParentDoc.

protected void sampleInParentDoc(_Doc d) {
    _ParentDoc4DCM pDoc = (_ParentDoc4DCM) d;
    int wid, tid;
    double normalizedProb;
    for (_Word w : pDoc.getWords()) {
        tid = w.getTopic();
        wid = w.getIndex();
        pDoc.m_sstat[tid]--;
        pDoc.m_topic_stat[tid]--;
        pDoc.m_wordTopic_stat[tid][wid]--;
        normalizedProb = 0;
        for (tid = 0; tid < number_of_topics; tid++) {
            double pWordTopic = parentWordByTopicProb(tid, wid, pDoc);
            double pTopicPDoc = parentTopicInDocProb(tid, pDoc);
            double pTopicCDoc = parentChildInfluenceProb(tid, pDoc);
            m_topicProbCache[tid] = pWordTopic * pTopicPDoc * pTopicCDoc;
            normalizedProb += m_topicProbCache[tid];
        }
        normalizedProb *= m_rand.nextDouble();
        for (tid = 0; tid < number_of_topics; tid++) {
            normalizedProb -= m_topicProbCache[tid];
            if (normalizedProb <= 0)
                break;
        }
        if (tid == number_of_topics)
            tid--;
        w.setTopic(tid);
        pDoc.m_sstat[tid]++;
        pDoc.m_topic_stat[tid]++;
        pDoc.m_wordTopic_stat[tid][wid]++;
    }
}
Also used : structures._ParentDoc4DCM(structures._ParentDoc4DCM) structures._Word(structures._Word)

Example 33 with structures._Word

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

the class DCMCorrLDA method sampleInChildDoc.

protected void sampleInChildDoc(_ChildDoc d) {
    int wid, tid;
    double normalizedProb;
    _ParentDoc4DCM pDoc = (_ParentDoc4DCM) d.m_parentDoc;
    for (_Word w : d.getWords()) {
        tid = w.getTopic();
        wid = w.getIndex();
        pDoc.m_wordTopic_stat[tid][wid]--;
        pDoc.m_topic_stat[tid]--;
        d.m_sstat[tid]--;
        normalizedProb = 0;
        for (tid = 0; tid < number_of_topics; tid++) {
            double pWordTopic = childWordByTopicProb(tid, wid, pDoc);
            double pTopic = childTopicInDocProb(tid, d, pDoc);
            m_topicProbCache[tid] = pWordTopic * pTopic;
            normalizedProb += m_topicProbCache[tid];
        }
        normalizedProb *= m_rand.nextDouble();
        for (tid = 0; tid < m_topicProbCache.length; tid++) {
            normalizedProb -= m_topicProbCache[tid];
            if (normalizedProb <= 0)
                break;
        }
        if (tid == m_topicProbCache.length)
            tid--;
        w.setTopic(tid);
        d.m_sstat[tid]++;
        pDoc.m_topic_stat[tid]++;
        pDoc.m_wordTopic_stat[tid][wid]++;
    }
}
Also used : structures._ParentDoc4DCM(structures._ParentDoc4DCM) structures._Word(structures._Word)

Example 34 with structures._Word

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

the class DCMCorrLDA_multi_E_test method printChildTopicAssignment.

protected void printChildTopicAssignment(_Doc d, File topicFolder) {
    String topicAssignmentFile = d.getName() + ".txt";
    try {
        PrintWriter pw = new PrintWriter(new File(topicFolder, topicAssignmentFile));
        for (_Word w : d.getWords()) {
            int index = w.getIndex();
            int topic = w.getTopic();
            String featureName = m_corpus.getFeature(index);
            pw.print(featureName + ":" + topic + "\t");
        }
        pw.flush();
        pw.close();
    } catch (FileNotFoundException e) {
        e.printStackTrace();
    }
}
Also used : FileNotFoundException(java.io.FileNotFoundException) structures._Word(structures._Word) File(java.io.File) PrintWriter(java.io.PrintWriter)

Example 35 with structures._Word

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

the class DCMCorrLDA_test method printChildTopicAssignment.

protected void printChildTopicAssignment(_Doc d, File topicFolder) {
    String topicAssignmentFile = d.getName() + ".txt";
    try {
        PrintWriter pw = new PrintWriter(new File(topicFolder, topicAssignmentFile));
        for (_Word w : d.getWords()) {
            int index = w.getIndex();
            int topic = w.getTopic();
            String featureName = m_corpus.getFeature(index);
            pw.print(featureName + ":" + topic + "\t");
        }
        pw.flush();
        pw.close();
    } catch (FileNotFoundException e) {
        e.printStackTrace();
    }
}
Also used : FileNotFoundException(java.io.FileNotFoundException) structures._Word(structures._Word) File(java.io.File) PrintWriter(java.io.PrintWriter)

Aggregations

structures._Word (structures._Word)69 structures._ChildDoc (structures._ChildDoc)18 File (java.io.File)16 FileNotFoundException (java.io.FileNotFoundException)15 PrintWriter (java.io.PrintWriter)15 structures._ParentDoc (structures._ParentDoc)14 structures._Doc (structures._Doc)12 structures._Stn (structures._Stn)11 structures._ParentDoc4DCM (structures._ParentDoc4DCM)10 structures._ChildDoc4BaseWithPhi (structures._ChildDoc4BaseWithPhi)9 HashMap (java.util.HashMap)5 structures._Doc4DCMLDA (structures._Doc4DCMLDA)4 structures._Doc4SparseDCMLDA (structures._Doc4SparseDCMLDA)4 structures._SparseFeature (structures._SparseFeature)3 Feature (Classifier.supervised.liblinear.Feature)1 FeatureNode (Classifier.supervised.liblinear.FeatureNode)1 Model (Classifier.supervised.liblinear.Model)1 Parameter (Classifier.supervised.liblinear.Parameter)1 Problem (Classifier.supervised.liblinear.Problem)1 SolverType (Classifier.supervised.liblinear.SolverType)1