use of structures._RankItem in project IR_Base by Linda-sunshine.
the class sparseClusterDCMLDA_test method printWordTopicDistribution.
protected void printWordTopicDistribution(int cID, File wordTopicDistributionFolder, int k) {
String wordTopicDistributionFile = cID + ".txt";
try {
PrintWriter pw = new PrintWriter(new File(wordTopicDistributionFolder, wordTopicDistributionFile));
for (int i = 0; i < number_of_topics; i++) {
MyPriorityQueue<_RankItem> fVector = new MyPriorityQueue<_RankItem>(k);
for (int v = 0; v < vocabulary_size; v++) {
String featureName = m_corpus.getFeature(v);
double wordProb = m_clusterTopicWordProb[cID][i][v];
_RankItem ri = new _RankItem(featureName, wordProb);
fVector.add(ri);
}
pw.format("Topic %d(%.5f):\t", i, m_clusterTopicProb[cID][i]);
for (_RankItem it : fVector) pw.format("%s(%.5f)\t", it.m_name, m_logSpace ? Math.exp(it.m_value) : it.m_value);
pw.write("\n");
}
pw.flush();
pw.close();
} catch (FileNotFoundException e) {
e.printStackTrace();
}
}
use of structures._RankItem in project IR_Base by Linda-sunshine.
the class sparseDCMLDA_test method printTopWord.
protected void printTopWord(int k, String topWordFile) {
System.out.println("TopWord FilePath:" + topWordFile);
Arrays.fill(m_sstat, 0);
for (_Doc d : m_trainSet) {
for (int i = 0; i < number_of_topics; i++) m_sstat[i] += m_logSpace ? Math.exp(d.m_topics[i]) : d.m_topics[i];
}
Utils.L1Normalization(m_sstat);
try {
PrintWriter topWordWriter = new PrintWriter(new File(topWordFile));
for (int i = 0; i < topic_term_probabilty.length; i++) {
MyPriorityQueue<_RankItem> fVector = new MyPriorityQueue<_RankItem>(k);
for (int j = 0; j < vocabulary_size; j++) fVector.add(new _RankItem(m_corpus.getFeature(j), topic_term_probabilty[i][j]));
topWordWriter.format("Topic %d(%.5f):\t", i, m_sstat[i]);
for (_RankItem it : fVector) topWordWriter.format("%s(%.5f)\t", it.m_name, m_logSpace ? Math.exp(it.m_value) : it.m_value);
topWordWriter.write("\n");
}
topWordWriter.close();
} catch (Exception ex) {
System.err.print("File Not Found");
}
}
use of structures._RankItem in project IR_Base by Linda-sunshine.
the class sparseDCMLDA_test method printWordTopicDistribution.
protected void printWordTopicDistribution(_Doc d, File wordTopicDistributionFolder, int k) {
String wordTopicDistributionFile = d.getName() + ".txt";
try {
PrintWriter pw = new PrintWriter(new File(wordTopicDistributionFolder, wordTopicDistributionFile));
_Doc4DCMLDA DCMDoc = (_Doc4DCMLDA) d;
for (int i = 0; i < number_of_topics; i++) {
MyPriorityQueue<_RankItem> fVector = new MyPriorityQueue<_RankItem>(k);
for (int v = 0; v < vocabulary_size; v++) {
String featureName = m_corpus.getFeature(v);
double wordProb = DCMDoc.m_wordTopic_prob[i][v];
_RankItem ri = new _RankItem(featureName, wordProb);
fVector.add(ri);
}
pw.format("Topic %d(%.5f):\t", i, d.m_topics[i]);
for (_RankItem it : fVector) pw.format("%s(%.5f)\t", it.m_name, m_logSpace ? Math.exp(it.m_value) : it.m_value);
pw.write("\n");
}
pw.flush();
pw.close();
} catch (FileNotFoundException e) {
e.printStackTrace();
}
}
use of structures._RankItem in project IR_Base by Linda-sunshine.
the class sparseLDA_test method printTopWord.
protected void printTopWord(int k, String topWordFile) {
System.out.println("TopWord FilePath:" + topWordFile);
Arrays.fill(m_sstat, 0);
for (_Doc d : m_trainSet) {
for (int i = 0; i < number_of_topics; i++) m_sstat[i] += m_logSpace ? Math.exp(d.m_topics[i]) : d.m_topics[i];
}
Utils.L1Normalization(m_sstat);
try {
PrintWriter topWordWriter = new PrintWriter(new File(topWordFile));
for (int i = 0; i < topic_term_probabilty.length; i++) {
MyPriorityQueue<_RankItem> fVector = new MyPriorityQueue<_RankItem>(k);
for (int j = 0; j < vocabulary_size; j++) fVector.add(new _RankItem(m_corpus.getFeature(j), topic_term_probabilty[i][j]));
topWordWriter.format("Topic %d(%.5f):\t", i, m_sstat[i]);
for (_RankItem it : fVector) topWordWriter.format("%s(%.5f)\t", it.m_name, m_logSpace ? Math.exp(it.m_value) : it.m_value);
topWordWriter.write("\n");
}
topWordWriter.close();
} catch (Exception ex) {
System.err.print("File Not Found");
}
}
use of structures._RankItem in project IR_Base by Linda-sunshine.
the class ACCTM method printTopWords.
@Override
public void printTopWords(int k, String betaFile) {
Arrays.fill(m_sstat, 0);
System.out.println("print top words");
for (_Doc d : m_trainSet) {
for (int i = 0; i < m_sstat.length; i++) {
m_sstat[i] += m_logSpace ? Math.exp(d.m_topics[i]) : d.m_topics[i];
if (Double.isNaN(d.m_topics[i]))
System.out.println("nan name\t" + d.getName());
}
}
Utils.L1Normalization(m_sstat);
try {
System.out.println("beta file");
PrintWriter betaOut = new PrintWriter(new File(betaFile));
for (int i = 0; i < topic_term_probabilty.length; i++) {
MyPriorityQueue<_RankItem> fVector = new MyPriorityQueue<_RankItem>(k);
for (int j = 0; j < vocabulary_size; j++) fVector.add(new _RankItem(m_corpus.getFeature(j), topic_term_probabilty[i][j]));
betaOut.format("Topic %d(%.3f):\t", i, m_sstat[i]);
for (_RankItem it : fVector) {
betaOut.format("%s(%.3f)\t", it.m_name, m_logSpace ? Math.exp(it.m_value) : it.m_value);
System.out.format("%s(%.3f)\t", it.m_name, m_logSpace ? Math.exp(it.m_value) : it.m_value);
}
betaOut.println();
System.out.println();
}
betaOut.close();
} catch (Exception ex) {
System.err.print("File Not Found");
}
}
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