static void Main(string[] args)
{
//coba
List<double> list1 = new List<double>() { 3, 6, 0, 11, 0, 6 };
List<double> list2 = new List<double>() { 3, 6, 0, 0, 0, 6 };
Pearson pr = new Pearson();
var res = pr.Calc(list1, list2);
vl1 = new List<string>();
vl2 = new List<string>();
//get all inputs
var files = Directory.GetFiles(path + @"\Datasets\");
foreach (var file in files)
{
var filename = Path.GetFileName(file);
parser.ExtractText(file, path + @"\DatasetsOut\" + filename.Replace(".pdf", ".txt").Replace(".PDF", ".txt"));
}
Console.Clear();
var outfiles = Directory.GetFiles(path + @"\DatasetsOut\");
int index = 0;
lw1 = TFIDF.Tokenize(ReadFile(outfiles[0]).Replace("\r", string.Empty).Replace("\n", string.Empty)); //list words in 1st document
Dictionary<int, string> res1 = new Dictionary<int, string>();
sr1 = wn.GetSemanticRelation(lw1, 1, out vl1, out res1); //get semantic relation for 1st document
int docno = 1;
//START GENERATE FROM DOCUMENT
foreach (var outfile in outfiles)
{
lw2 = TFIDF.Tokenize(ReadFile(outfile).Replace("\r", string.Empty).Replace("\n", string.Empty)); //list words in 2nd document
Console.SetCursorPosition(0, 9); //begin from row 3, row 1 is for status
Console.WriteLine("---------------------------------------");
Dictionary<int, string> res2 = new Dictionary<int, string>();
sr2 = wn.GetSemanticRelation(lw2, docno, outfiles.Count(), out vl2, out res2, stemmer); //get semantic relation for 2nd document
docno++;
//PrintSimilarWords(res1, res2);
ExportExcel(index);
index++;
}
//END GENERATE FROM DOCUMENTS
//using (PlagarismDbEntities dbContent = new PlagarismDbEntities())
//{
// var docs = dbContent.Documents;
// var firstdoc = docs.First();
// lw1 = TFIDF.Tokenize(ReadFile(path + @"\DatasetsOut\" + firstdoc.docname + ".txt"));
// sr1 = dbContent.Calculations.Where(p => p.docid == firstdoc.id).Select(p => p.value).ToList();
// foreach (var doc in docs)
// {
// var calcs = dbContent.Calculations.Where(p => p.docid == doc.id);
// if (calcs.Count() != 0)
// {
// lw2 = TFIDF.Tokenize(ReadFile(path + @"\DatasetsOut\" + doc.docname + ".txt"));
// sr2 = calcs.Select(p => p.value).ToList();
// ExportExcel(index);
// }
// index++;
// }
// Console.WriteLine("------------------FINISHED------------------");
//}
Console.ReadLine();
}
private static void ExportExcel(int currentindex)
{
Pearson pr = new Pearson();
int hashno = 100;
using (ExcelPackage ep = new ExcelPackage())
{
ep.Workbook.Properties.Title = "FINGERPRINT ANALYSIS";
ep.Workbook.Properties.Author = "THEODORUS YOGA M";
var ws = ep.Workbook.Worksheets.Add("Fingerprint Result");
ws.Cells[1, 1].Value = "Hash No.";
ws.Cells[1, 2].Value = "Jaccard";
ws.Cells[1, 3].Value = "Pearson";
ws.Cells[1, 4].Value = "Euclidean";
int rowstart = 2;
List<double> jaccard = new List<double>();
List<double> jaccardMin = new List<double>();
List<double> pearson = new List<double>();
List<double> euclidean = new List<double>();
while (hashno <= 5000)
{
//Console.WriteLine("Processing " + hashno + " hash functions");
MinHash mh = new MinHash(Math.Min(lw1.Count, lw2.Count), hashno);
//List<int> example1 = new List<int>() { 21, 50, 67, 101, 108 };
//List<int> example2 = new List<int>() { 23, 52, 90, 102, 110 };
hash1 = mh.GetMinHash(sr1); //get minimal hashing for 1st semantic relation
hash2 = mh.GetMinHash(sr2); //get minimal hashing for 2nd semantic relation
//hash1 = mh.GetMinHash(example1);
//hash2 = mh.GetMinHash(example2);
//convert to double for pearson
List<double> hashdb1 = new List<double>();
List<double> hashdb2 = new List<double>();
int count1 = hash1.Count;
int current = 1;
foreach (uint hash in hash1)
{
hashdb1.Add(Convert.ToDouble(hash));
//Console.SetCursorPosition(0, Wordnet.consoleln);
//Console.WriteLine("\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t");
//Console.SetCursorPosition(0, Wordnet.consoleln);
//Console.WriteLine("STATUS: Processing hash functions in document 1 of 2: " + current + "/" + count1);
current++;
}
Wordnet.consoleln++;
int count2 = hash2.Count;
current = 1;
foreach (uint hash in hash2)
{
hashdb2.Add(Convert.ToDouble(hash));
//Console.SetCursorPosition(0, Wordnet.consoleln);
//Console.WriteLine("\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t");
//Console.SetCursorPosition(0, Wordnet.consoleln);
//Console.WriteLine("STATUS: Processing hash functions in document 2 of 2: " + current + "/" + count2);
current++;
}
Wordnet.consoleln++;
//calculate TF-IDF
List<List<string>> vocabsInDoc = new List<List<string>>();
vocabsInDoc.Add(vl1);
vocabsInDoc.Add(vl2);
var tfidf = TFIDF.CalculateTFIDF(vocabsInDoc);
Wordnet.consoleln++;
//Console.WriteLine("JACCARD SIMILARITY DEGREE: " + mh.Similarity(hash1, hash2));
//Console.WriteLine("PEARSON SIMILARITY DEGREE: " + pr.Calc(hashdb1, hashdb2));
//Console.WriteLine("TF-IDF EUCLIDEAN DISTANCE:" + TFIDF.EuclideanDist(tfidf[0], tfidf[1]));
Console.WriteLine(hashno + "\t,\t" + ((double)mh.Similarity(hash1, hash2)) + "\t,\t" +
pr.Calc(hashdb1, hashdb2) + "\t,\t" + TFIDF.EuclideanDist(tfidf[0], tfidf[1]));
ws.Cells[rowstart, 1].Value = hashno.ToString();
var jacc = ((double)mh.Similarity(hash1, hash2));
var jaccmin = (double)(jacc - 1);
var pear = pr.Calc(hashdb1, hashdb2);
var euc = TFIDF.EuclideanDist(tfidf[0], tfidf[1]);
ws.Cells[rowstart, 2].Value = jacc;
jaccard.Add(jacc);
pearson.Add(pear);
euclidean.Add(euc);
jaccardMin.Add(Math.Abs(jaccmin));
ws.Cells[rowstart, 3].Value = pear;
ws.Cells[rowstart, 4].Value = TFIDF.EuclideanDist(tfidf[0], tfidf[1]);
//foreach (var vector in tfidf)
//{
// foreach (var val in vector)
// {
// Console.Write(val + ";");
// }
// Console.WriteLine();
//}
hashno += 50;
rowstart++;
}
FileStream file;
if (!Directory.Exists("Out"))
Directory.CreateDirectory("Out");
if (!File.Exists("Out/naziefresult_" + currentindex.ToString() + ".xlsx"))
{
FileStream fs = File.Create("Out/naziefresult_" + currentindex.ToString() + ".xlsx");
fs.Dispose();
}
file = File.Open("Out/naziefresult_" + currentindex.ToString() + ".xlsx", FileMode.Open);
string append = string.Empty;
append += "JaccardMin<-c(";
foreach (var item in jaccardMin)
{
append += item.ToString().Replace(',', '.');
append += ", ";
}
append += ")";
append += "\n";
append += "Jaccard<-c(";
foreach (var item in jaccard)
{
append += item.ToString().Replace(',', '.');
append += ", ";
}
append += ")";
append += "\n";
append += "Pearson<-c(";
foreach (var item in pearson)
{
append += item.ToString().Replace(',', '.');
append += ", ";
}
append += ")";
append += "\n";
append += "Euclidean<-c(";
foreach (var item in euclidean)
{
append += item.ToString().Replace(',', '.');
append += ", ";
}
append += ")";
//Console.WriteLine("c(");
//foreach (var item in res)
//{
// Console.Write(item.ToString().Replace(',', '.'));
// Console.Write(", ");
//}
//Console.Write(")");
ep.SaveAs(file);
WriteFile(path + @"\Out\naziefr_" + currentindex.ToString() + ".txt", append);
file.Close();
}
}