double GetActualSimilarity(Collection <string> firstTokens, Collection <string> secondTokens)
{
Collection <string> allTokens = tokenUtilities.CreateMergedList(firstTokens, secondTokens);
int totalDistance = 0;
foreach (string token in allTokens)
{
int countInfirstWord = 0;
int countInsecondWord = 0;
if (firstTokens.Contains(token))
{
countInfirstWord++;
}
if (secondTokens.Contains(token))
{
countInsecondWord++;
}
if (countInfirstWord > countInsecondWord)
{
totalDistance += countInfirstWord - countInsecondWord;
}
else
{
totalDistance += countInsecondWord - countInfirstWord;
}
}
return(totalDistance);
}
private double GetActualSimilarity(Collection <string> firstTokens, Collection <string> secondTokens)
{
Collection <string> collection = _tokenUtilities.CreateMergedList(firstTokens, secondTokens);
int num = 0;
foreach (string str in collection)
{
int num2 = 0;
int num3 = 0;
if (firstTokens.Contains(str))
{
num2++;
}
if (secondTokens.Contains(str))
{
num3++;
}
if (num2 > num3)
{
num += num2 - num3;
}
else
{
num += num3 - num2;
}
}
return(num);
}
/// <summary>
/// gets the un-normalised similarity measure of the metric for the given strings.</summary>
/// <param name="firstWord">first word</param>
/// <param name="secondWord">second word</param>
/// <returns> returns the score of the similarity measure (un-normalised)</returns>
public override double GetUnnormalisedSimilarity(string firstWord, string secondWord)
{
Collection <string> firstTokens = tokeniser.Tokenize(firstWord);
Collection <string> secondTokens = tokeniser.Tokenize(secondWord);
tokenUtilities.CreateMergedList(firstTokens, secondTokens);
return(GetActualSimilarity(firstTokens, secondTokens));
}
private double GetActualSimilarity(Collection <string> firstTokens, Collection <string> secondTokens)
{
_tokenUtilities.CreateMergedList(firstTokens, secondTokens);
int num = 0;
foreach (string str in firstTokens)
{
if (secondTokens.Contains(str))
{
num++;
}
}
return(num);
}
double GetActualSimilarity(Collection <string> firstTokens, Collection <string> secondTokens)
{
Collection <string> allTokens = tokenUtilities.CreateMergedList(firstTokens, secondTokens);
int totalFound = 0;
foreach (string token in firstTokens)
{
if (secondTokens.Contains(token))
{
totalFound++;
}
}
return(totalFound);
}
private double GetActualDistance(Collection <string> firstTokens, Collection <string> secondTokens)
{
Collection <string> collection = _tokenUtilities.CreateMergedList(firstTokens, secondTokens);
int num = 0;
foreach (string str in collection)
{
int num2 = 0;
int num3 = 0;
if (firstTokens.Contains(str))
{
num2++;
}
if (secondTokens.Contains(str))
{
num3++;
}
num += (num2 - num3) * (num2 - num3);
}
return(Math.Sqrt(num));
}
double GetActualDistance(Collection <string> firstTokens, Collection <string> secondTokens)
{
Collection <string> allTokens = tokenUtilities.CreateMergedList(firstTokens, secondTokens);
int totalDistance = 0;
foreach (string token in allTokens)
{
int countInfirstWord = 0;
int countInsecondWord = 0;
if (firstTokens.Contains(token))
{
countInfirstWord++;
}
if (secondTokens.Contains(token))
{
countInsecondWord++;
}
totalDistance += (countInfirstWord - countInsecondWord) * (countInfirstWord - countInsecondWord);
}
return(Math.Sqrt(totalDistance));
}
