/// <summary>
/// Calculates the average type token ratio.
/// </summary>
/// <param name="tokens">The tokens.</param>
//private void CalculateAverageTypeTokenRatio(FrequencyResults returnValue, Token[] tokens)
//{
// List<decimal> TTRValues = new List<decimal>();
// for (int x = 0; x < tokens.Length - returnValue.WindowSize; ++x)
// {
// var TempWordCount = new SortedDictionary<string, int>();
// for (int y = 0; y < returnValue.WindowSize; ++y)
// {
// var CurrentToken = tokens[x + y];
// var TempWord = (CurrentToken.StemmedValue ?? CurrentToken.Value).ToLower();
// if (TempWordCount.ContainsKey(TempWord))
// {
// ++TempWordCount[TempWord];
// }
// else
// {
// TempWordCount.Add(TempWord, 1);
// }
// }
// TTRValues.Add((decimal)TempWordCount.Keys.Count / returnValue.WindowSize);
// }
// if (TTRValues.Count > 0)
// returnValue.AverageTypeTokenRatio = TTRValues.Average();
//}
/// <summary>
/// Calculates the term frequency.
/// </summary>
/// <param name="returnValue">The return value.</param>
private void CalculateTermFrequency(FrequencyResults returnValue)
{
foreach (var Key in returnValue.WordCount.Keys)
{
returnValue.TermFrequency.Add(Key, returnValue.WordCount[Key] / (double)returnValue.NumberOfWords);
}
}
/// <summary>
/// Analyzes the specified tokens.
/// </summary>
/// <param name="tokens">The tokens.</param>
/// <param name="windowSize">Size of the window.</param>
/// <returns>The frequency results</returns>
public FrequencyResults Analyze(IEnumerable <Token> tokens, int windowSize)
{
var ReturnValue = new FrequencyResults();
ReturnValue.WindowSize = windowSize <= 0 ? 1 : windowSize;
var WordTokens = tokens.Where(x => x.TokenType == TokenType.Word || x.TokenType == TokenType.Abbreviation).ToArray();
CalculateWordCount(WordTokens, ReturnValue.WordCount);
ReturnValue.NumberOfWords = WordTokens.Length;
ReturnValue.NumberOfTypes = ReturnValue.WordCount.Keys.Count;
//CalculateAverageTypeTokenRatio(ReturnValue, WordTokens);
CalculateTermFrequency(ReturnValue);
return(ReturnValue);
}