private void Count(GlobalIndex index, FeatureCorpusTermFrequency featureCorpusTermFrequency)
{
TermFrequencyCounter termFrequencyCounter = new TermFrequencyCounter();
foreach (Document document in index.GetDocuments())
{
string context = WordUtil.ApplyCharacterReplacement(document.GetContent(), RuntimeProperties.TERM_CLEAN_PATTERN);
ISet <string> candidates = index.RetrieveCanonicalTermsInDoc(document);
foreach (string term in candidates)
{
int frequency = termFrequencyCounter.Count(context, index.RetrieveVariantsOfCanonicalTerm(term));
featureCorpusTermFrequency.AddToTermFrequency(term, frequency);
}
}
}
public FeatureCorpusTermFrequency Build(GlobalIndex index)
{
FeatureCorpusTermFrequency featureCorpusTermFrequency = new FeatureCorpusTermFrequency(index);
if (index.GetCanonicalTerms().Count == 0 || index.GetDocuments().Count == 0)
{
throw new ArgumentException("No resource indexed.");
}
int totalCorpusTermFrequency = 0;
Count(index, featureCorpusTermFrequency);
foreach (Document document in index.GetDocuments())
{
totalCorpusTermFrequency += wordCounter.CountWords(document);
}
featureCorpusTermFrequency.SetTotalCorpusTermFrequency(totalCorpusTermFrequency);
return(featureCorpusTermFrequency);
}
public AlgorithmContext(FeatureCorpusTermFrequency termFrequency, FeatureTermNest termNest)
{
this.termFrequency = termFrequency;
this.termNest = termNest;
}
