public static double[][] ReturnTFIDFVectors(List <Document> documents)
{
// generate list ordering of megadictionary
List <string> keysList = MegaDictionary.ReturnKeysList();
List <List <double> > TFIDVectors = new List <List <double> >();
int counter = 1;
foreach (var document in documents)
{
//Debug.WriteLine("TFIDF vector for document #: " + counter);
List <double> documentVector = new List <double>();
// calculate TFDIF vector for document
foreach (var word in keysList)
{
double tf = document.UniqueWordsFreq() == 0 ? 0 : (double)document.ReturnFrequency(word) / document.UniqueWordsFreq(); // if document has 0 terms it it, return 0
double calc = documents.Count / MegaDictionary.ReturnTermFrequency(word);
double idf = Math.Log(calc);
documentVector.Add(tf * idf);
}
TFIDVectors.Add(documentVector);
counter++;
}
// change into double[][] and normalize
double[][] vectors = TFIDVectors.Select(v => v.ToArray()).ToArray();
Normalize(vectors);
return(vectors);
}
private double aK()
{
if (_k < 2)
{
_previousAK = -1.0;
}
else if (_k == 2)
{
_previousAK = 1 - ((double)3 / (4 * MegaDictionary.ReturnKeysList().Count)); // set current aK to previous
}
else
{
_previousAK = _previousAK + ((1 - _previousAK) / 6);
}
Debug.Assert(!_previousAK.Equals(-1.0));
return(_previousAK);
}
public static Dictionary <int, double>[] ReturnTFIDFDicts(List <Document> documents)
{
// generate list ordering of megadictionary
List <string> keysList = MegaDictionary.ReturnKeysList();
List <Dictionary <int, double> > TFIDFDictionaryList = new List <Dictionary <int, double> >();
int counter = 1;
foreach (var document in documents)
{
Debug.WriteLine("TFIDF vector for document #: " + counter);
Dictionary <int, double> TFIDFDict = new Dictionary <int, double>();
// calculate TFDIF vector for document
for (int i = 0; i < keysList.Count; i++)
{
string word = keysList[i];
double tf = document.UniqueWordsFreq() == 0 ? 0 : (double)document.ReturnFrequency(word) / document.UniqueWordsFreq(); // if document has 0 terms it it, return 0
double calc = documents.Count / MegaDictionary.ReturnTermFrequency(word);
double idf = Math.Log(calc);
double tfidf = tf * idf;
// only add to dictionary if tfidf is not 0
if (tfidf != 0)
{
TFIDFDict.Add(i, tfidf);
}
}
TFIDFDictionaryList.Add(TFIDFDict);
counter++;
}
// change into array and normalize
Dictionary <int, double>[] listOfDictionaries = TFIDFDictionaryList.ToArray();
NormalizeDictionaryArray(listOfDictionaries);
return(listOfDictionaries);
}