/// <summary>
/// Gets the percentage that the text is different from this text
/// </summary>
/// <param name="expected">This text</param>
/// <param name="actual">The text being compared for differences</param>
/// <param name="algorithm">The edit distance algorithm to use. Defaults to Levenshtein.</param>
/// <returns>The percentage difference</returns>
public static decimal ErrorPercentage(this string expected, string actual, Algorithms algorithm = Algorithms.Levenshtein)
{
return(EditDistance.ErrorPercentage(expected, actual, algorithm));
}
/// <summary>
/// Gets the Minimum edit distance of comparing the source to another string using the specified algorithm
/// </summary>
/// <param name="source">The source text to use in the comparison</param>
/// <param name="text">The other text to use in the comparison</param>
/// <param name="algorithm">The edit distance algorithm to use. Defaults to Levenshtein</param>
/// <returns>The minimum edit distance using the specified algorithm</returns>
public static int MinEditDistance(this string source, string text, Algorithms algorithm = Algorithms.Levenshtein)
{
return(EditDistance.MinEditDistance(source, text, algorithm));
}
/// <summary>
/// Gets the percentage that the text is similar to this text
/// </summary>
/// <param name="source">This text</param>
/// <param name="text">The text to use as a comparison</param>
/// <param name="algorithm">The edit distance algorithm to use. Defaults to Levenshtein.</param>
/// <returns>The percentage of similarity</returns>
public static decimal SimilarityPercentage(this string source, string text, Algorithms algorithm = Algorithms.Levenshtein)
{
return(EditDistance.SimilarityPercentage(source, text, algorithm));
}
/// <summary>
/// Gets the minimum edit distance of the text compared to this text.
/// Tokenizes the strings and compares using word level comparisons
/// </summary>
/// <param name="source">This text</param>
/// <param name="text">The text to compare to</param>
/// <param name="algorithm">The edit distance algorithm to use. Defaults to Levenshtein.</param>
/// <returns>The minimum edit distance between the two phrases</returns>
public static decimal PhraseMinEditDistance(this string source, string text, Algorithms algorithm = Algorithms.Levenshtein)
{
return(EditDistance.PhraseEditDistance(source, text, algorithm));
}