public void CompareStringMetrics(string s1, string s2)
{
var consine = new F23.StringSimilarity.Cosine().Distance(s1, s2);
var damerau = new F23.StringSimilarity.Damerau().Distance(s1, s2);
var jaccard = new F23.StringSimilarity.Jaccard().Distance(s1, s2);
var jarodwinkler = new F23.StringSimilarity.JaroWinkler().Distance(s1, s2);
var levenshtein = new F23.StringSimilarity.Levenshtein().Distance(s1, s2);
var lcs = new F23.StringSimilarity.LongestCommonSubsequence().Distance(s1, s2);
var mlcs = new F23.StringSimilarity.MetricLCS().Distance(s1, s2);
var ng = new F23.StringSimilarity.NGram().Distance(s1, s2);
var nl = new F23.StringSimilarity.NormalizedLevenshtein().Distance(s1, s2);
var osa = new F23.StringSimilarity.OptimalStringAlignment().Distance(s1, s2);
var qg = new F23.StringSimilarity.QGram().Distance(s1, s2);
//var ng = new F23.StringSimilarity.ShingleBased
var sd = new F23.StringSimilarity.SorensenDice().Distance(s1, s2);
//var wl = new F23.StringSimilarity.WeightedLevenshtein().Distance
Console.WriteLine("consine score = {0}", consine.ToString());
Console.WriteLine("damerau score = {0}", damerau.ToString());
Console.WriteLine("jaccard score = {0}", jaccard.ToString());
Console.WriteLine("jarodwinkler score = {0}", jarodwinkler.ToString());
Console.WriteLine("levenshtein score = {0}", levenshtein.ToString());
Console.WriteLine("lcs score = {0}", lcs.ToString());
Console.WriteLine("mlcs score = {0}", mlcs.ToString());
Console.WriteLine("ng score = {0}", ng.ToString());
Console.WriteLine("nl score = {0}", nl.ToString());
Console.WriteLine("osa score = {0}", osa.ToString());
Console.WriteLine("qg score = {0}", qg.ToString());
//Console.WriteLine("ng score = {0}",ng.ToString());
Console.WriteLine("sd score = {0}", sd.ToString());
//Console.WriteLine("wl score = {0}",wl.ToString());
}
public static async Task Compare(CommandParameters parameters)
{
var levenshtein = new F23.StringSimilarity.NormalizedLevenshtein();
var adverbs = new HashSet <string>(await File.ReadAllLinesAsync("all-adverbs.txt"));
var A = GetSignificantContent(parameters.Arguments[0]);
var B = GetSignificantContent(parameters.Arguments[1]);
var duplicate = (A == B) || levenshtein.Distance(A, B) < .25f;
await parameters.SocketMessage.Channel.SendMessageAsync($"{A}≈{B}={duplicate}");
string GetSignificantContent(string content)
{
string lower = " " + content.Normalize().ToLower() + " ";
foreach (var adverb in adverbs)
{
lower = lower.Replace(" " + adverb + " ", " ");
}
return(lower.Trim());
}
}
