public Content(MainWindow main)
{
InitializeComponent();
toggleContent(false);
this.main = main;
this.infos = TmpInfo.Instance;
xml = new UseXML();
}
public ActionResult Index(string command, string fileToIndex, string searchString, int[] relevantList, int[] irrelevantList)
{
if (command == "Search" && !String.IsNullOrEmpty(searchString))
{
TokenizeStopStem t = new TokenizeStopStem(searchString);
t.tokenize();
string result = t.getTokensList();
ViewBag.Message = result;
ViewBag.Terms = t.getTokens();
UseXML x = new UseXML();
List <Article> articles = x.doList(t.getTokens());
string MarkValue = Request.Form["Marks"].ToString();
ViewBag.Mark = MarkValue;
string SupportValue = Request.Form["Support"].ToString();
ViewBag.Support = SupportValue;
x.countTermsFrequenciesQuery(t.getTokens());
switch (SupportValue)
{
case "Relevance feedback": {
foreach (var article in articles)
{
article.relevant = false;
article.irrelevant = false;
if (relevantList != null)
{
if (relevantList.Contains(article.Id))
{
article.relevant = true;
}
}
if (irrelevantList != null)
{
if (irrelevantList.Contains(article.Id))
{
article.irrelevant = true;
}
}
if (article.relevant == true && article.irrelevant == true)
{
article.relevant = false;
article.irrelevant = false;
}
x.rocchio(articles, MarkValue, 1, 1, 0.5);
}
break;
}
case "Weighted terms": {
string[] w = new string[t.getTokens().Count()];
w = Request.Form.GetValues("intList");
int[] weights = w.Select(int.Parse).ToArray();
ViewBag.W = weights;
if (weights.Length == t.getTokens().Count())
{
x.weightedTerms(MarkValue, weights, t.getTokens());
}
break;
}
default: break;
}
foreach (var a in articles)
{
a.CountRelevance(MarkValue, x.queryTF, x.queryTF_IDF);
}
var tokens = t.getTokens();
if (SupportValue == "Weighted terms")
{
// statystyka
foreach (string tok in tokens)
{
if (Dictionary.dictionary.ContainsKey(tok))
{
foreach (Article a in articles)
{
a.TFTermposition.Add(tok, 0);
}
int dicTermPos = Dictionary.dictionary[tok];
articles.Sort((b, a) => a.TF[dicTermPos].CompareTo(b.TF[dicTermPos]));
for (int i = 0; i < articles.Count; i++)
{
articles[i].TFTermposition[tok] = i;
}
}
}
}
articles.Sort((a, b) => a.relevance.CompareTo(b.relevance));
articles.Reverse();
if (SupportValue == "Weighted terms")
{
var change = new Dictionary <string, double>();
double measure;
double val;
foreach (string tok in tokens)
{
if (Dictionary.dictionary.ContainsKey(tok))
{
measure = 0.0;
for (int i = 0; i < articles.Count; i++)
{
val = (double)(articles[i].TFTermposition[tok] - i + 1);
val = (val > 0 ? val : -val);
if (val != 0.0)
{
measure += (1.0 / val);
}
System.Diagnostics.Debug.Write(tok + ": " + measure);
}
measure /= articles.Count;
measure = Math.Round(measure, 3);
change.Add(tok, measure);
}
else
{
change.Add(tok, 0.0);
}
}
ViewBag.Change = change;
}
foreach (Article a in articles)
{
a.relevance = Math.Round(a.relevance, 3);
}
return(View(articles));
}
if (command == "Create index")
{
Data.newLoad(fileToIndex);
}
return(View());
}
