public static IList <int> Parse(string query, WordsVector wordsVector, DocumentsVector documentsVector)
{
var query_tfidf = ComputeQueryTfIdfVector(query, wordsVector, documentsVector.DocumentsIndex().Count);
var documentsIndex = DocumentsOccuredInQuery(wordsVector, query_tfidf);
var similarities = new Dictionary <int, double>();
foreach (var index in documentsIndex)
{
var similarity = ComputeCosineSimilarity(
documentsVector.GetVectorOfDocumentIndex(index),
query_tfidf);
similarities.Add(index, similarity);
}
return(SortTheDictionaryOnValue(similarities));
}
public IList <int> Parse(string _query, WordsVector wordsVector, DocumentsVector documentsVector, HashSet <int> universalSet)
{
var query = Preprocessor.GetInstance().PreprocessQuery(_query);
if (ProximityQueryRegex.IsMatch(query))
{
return(ProximityQuery.Parse(query, wordsVector));
}
else if (GeneralTextQueryRegex.IsMatch(query))
{
return(GeneralTextQueryParser.Parse(query, wordsVector, documentsVector));
}
else if (BooleanQueryRegex.IsMatch(query))
{
return(BooleanQueryParser.Parse(query, universalSet, wordsVector));
}
else
{
throw new Exception("Invalid Query");
}
}
public void test()
{
string[] sentences = { "Articles Articles the English.",
"Articles in the Arabic language.",
"I love Playing cricket." };
var expected = new DocumentsVector();
for (int i = 0; i < 3; i++)
{
var vector = new Vector(sentences[i]);
expected.Update(i, vector);
}
Dictionary <int, Vector> DV_dictionary = new Dictionary <int, Vector>();
DV_dictionary.Add(0, new Vector("Articles Articles the English."));
DV_dictionary.Add(1, new Vector("Articles in the Arabic language."));
DV_dictionary.Add(2, new Vector("I love Playing cricket."));
var actual = new DocumentsVector(DV_dictionary);
Assert.AreEqual(expected, actual);
}
private DataStorage()
{
FYP_Data = new Dictionary <int, FYPSearchModel>();
wordsVector = new WordsVector();
documentsVector = new DocumentsVector();
}
