/// <summary>
/// Writes each of the dictionaries to file
/// </summary>
public void WriteToFile()
{
Char_gram.ToCSV("Char.csv");
Uni_gram.ToCSV("Uni.csv");
Bi_gram.ToCSV("Bi.csv");
Tri_gram.ToCSV("Tri.csv");
}
/// <summary>
/// This will take in a text file, read the file by line, parse the terms, stem the terms, and set the terms into the correct dictionary
/// </summary>
/// <param name="path">The path to the file that is being currently worked</param>
public void IndexFile(string path)
{
//Read in the file
FileInfo info = new FileInfo(path);
StreamReader sr = new StreamReader(path);
//Loop through the file line by line
while (!sr.EndOfStream)
{
string orgline = sr.ReadLine();
string[] terms = orgline.Split(' ');
//Break the line down into its individual characters
foreach (string s in terms)
{
char[] scrubList = Token_Char(s);
foreach (char c in scrubList)
{
Char_gram.Add(c.ToString());
}
}
//break the line down into its individual tokens
string line = Token_String(orgline);
terms = line.Split(' ');
List <string> temp = new List <string>();
//remove any white spaces that ended up in the set
foreach (string s in terms)
{
string hold = s.Trim();
if (hold.Length > 0)
{
temp.Add(hold);
}
}
terms = temp.ToArray();
//if the set has terms then process the single terms
if (terms.Length >= 1)
{
foreach (string term in terms)
{
//if (term.Contains("affection"))
//{
// string s = term;
//}
Uni_gram.Add(Stemmer.Stem(term));
}
}
//if the set has terms then process the bi-terms
if (terms.Length >= 2)
{
string biGram = "";
for (int i = 0; i < terms.Length - 1; i++)
{
biGram = Stemmer.Stem(terms[i]) + " " + Stemmer.Stem(terms[i + 1]);
Bi_gram.Add(biGram);
}
}
//if the set has terms then process the tri-terms
if (terms.Length >= 3)
{
string triGram = "";
for (int i = 0; i < terms.Length - 2; i++)
{
triGram = Stemmer.Stem(terms[i]) + " " + Stemmer.Stem(terms[i + 1]) + " " + Stemmer.Stem(terms[i + 2]);
Tri_gram.Add(triGram);
}
}
}
}
