private List <double> CalculateWeightsForArticle(ClassificationModel data)
{
var temp = new List <double>();
foreach (IFeatureService service in _featureServices)
{
var temp1 = new List <double>();
foreach (var tag in _keyWords)
{
temp1.Add(service.Call(tag.Value, data.StemmedWords));
}
var max = temp1.Max();
for (int i = 0; i < temp1.Count; i++)
{
if (max.Equals(0))
{
temp1[i] = 0;
continue;
}
temp1[i] /= max;
}
temp.AddRange(temp1);
}
return(temp);
}
public ClassificationModel ClassifyArticle(ClassificationModel article)
{
Dictionary <ClassificationModel, double> distanceToNeighbors = new Dictionary <ClassificationModel, double>();
article.CalculatedWeights = CalculateWeightsForArticle(article);
foreach (var classificationModel in ClassifiedArticles)
{
distanceToNeighbors[classificationModel] =
_metric.Call(article.CalculatedWeights, classificationModel.CalculatedWeights);
}
var listOfNeighbors = distanceToNeighbors.ToList();
listOfNeighbors = listOfNeighbors.OrderBy(c => c.Value).Take(_kParameter).ToList();
Dictionary <string, int> tagOccurrences = new Dictionary <string, int>();
foreach (var keyValuePair in listOfNeighbors)
{
string tag = keyValuePair.Key.PredictedTag;
if (!tagOccurrences.ContainsKey(tag))
{
tagOccurrences.Add(tag, 0);
}
tagOccurrences[tag]++;
}
var selectTag = tagOccurrences.ToList();
if (selectTag.Count == 1)
{
article.PredictedTag = selectTag[0].Key;
}
else
{
selectTag.Sort((pair1, pair2) => pair2.Value.CompareTo(pair1.Value));
var temp = tagOccurrences.Where(k => k.Value == selectTag[0].Value).ToList();
Dictionary <string, double> tagDoubles = new Dictionary <string, double>();
foreach (var keyValuePair in temp)
{
if (!tagDoubles.ContainsKey(keyValuePair.Key))
{
tagDoubles.Add(keyValuePair.Key, 0.0);
}
}
foreach (var listOfNeighbor in listOfNeighbors)
{
if (tagDoubles.ContainsKey(listOfNeighbor.Key.PredictedTag))
{
tagDoubles[listOfNeighbor.Key.PredictedTag] += listOfNeighbor.Value;
}
}
var chosentag = tagDoubles.ToList();
chosentag.Sort((pair1, pair2) => pair1.Value.CompareTo(pair2.Value));
article.PredictedTag = chosentag[0].Key;
}
ClassifiedArticles.Add(article);
return(article);
}