/// <summary>
/// Query the reuter data set to find the count of each classification
/// </summary>
/// <param name="cat">
/// A <see cref="ClassifierObject"/>
/// </param>
protected override void SetTrainingCount(ClassifierObject cat)
{
using (SqlConnection conn = new SqlConnection(SqlConn.GetConn()))
{
string sql = @"
SELECT count(1) as cnt
FROM Spam
WHERE ArticleId % 3 > 0
AND Category = @catName;
";
SqlCommand cmd = new SqlCommand(sql);
SqlParameter param = new SqlParameter();
param.ParameterName = "@catName";
param.Value = cat.Name;
cmd.Parameters.Add(param);
cmd.Connection = conn;
conn.Open();
SqlDataReader reader = cmd.ExecuteReader();
while (reader.Read())
{
cat.TimesInTraining = (int)reader[0];
}
conn.Close();
}
}
protected override DataTable GetTrainingArticles(ClassifierObject cat)
{
DataSet dSet = new DataSet();
DataTable dTable = new DataTable();
using (SqlConnection conn = new SqlConnection(SqlConn.GetConn()))
{
string sql = @"
SELECT Body
FROM Spam
WHERE ArticleId % 3 > 0
AND Category = @catName;
";
SqlCommand cmd = new SqlCommand(sql);
SqlParameter param = new SqlParameter();
param.ParameterName = "@catName";
param.Value = cat.Name;
cmd.Parameters.Add(param);
cmd.Connection = conn;
conn.Open();
// Execute command and fill dataset
SqlDataAdapter sAdapter = new SqlDataAdapter(cmd);
sAdapter.Fill(dSet);
// Populate Data Table
dTable = dSet.Tables[0];
conn.Close();
}
return dTable;
}
protected override DataTable GetTrainingArticles(ClassifierObject cat)
{
DataSet dSet = new DataSet();
DataTable dTable = new DataTable();
using (SqlConnection conn = new SqlConnection(SqlConn.GetConn() ) )
{
string sql = @"
SELECT Body
FROM Article AS a
JOIN ArticleCategory AS ac
ON a.ArticleId = ac.ArticleId
JOIN Category AS c
ON c.CategoryId = ac.CategoryId
JOIN CategoryType AS ct
ON c.CategoryTypeId = ct.CategoryTypeId
WHERE LewisSplit = 'TRAIN'
AND ct.Name = @catName
AND a.Body IS NOT NULL
AND a.Body != ''
AND a.Body NOT LIKE '%Shr%vs%'
AND a.Body NOT LIKE 'Qtly%vs%'
";
SqlCommand cmd = new SqlCommand(sql);
SqlParameter param = new SqlParameter();
param.ParameterName = "@catName";
param.Value = cat.Name;
cmd.Parameters.Add(param);
cmd.Connection = conn;
conn.Open();
// Execute command and fill dataset
SqlDataAdapter sAdapter = new SqlDataAdapter(cmd);
sAdapter.Fill(dSet);
// Populate Data Table
dTable = dSet.Tables[0];
conn.Close();
}
return dTable;
}
/// <summary>
/// Query the reuter data set to find the count of each classification
/// </summary>
/// <param name="cat">
/// A <see cref="ClassifierObject"/>
/// </param>
protected override void SetTrainingCount(ClassifierObject cat)
{
using (SqlConnection conn = new SqlConnection(SqlConn.GetConn() ) )
{
string sql = @"
SELECT COUNT(1) AS cnt
FROM Article AS a
JOIN ArticleCategory AS ac
ON a.ArticleId = ac.ArticleId
JOIN Category AS c
ON c.CategoryId = ac.CategoryId
JOIN CategoryType AS ct
ON c.CategoryTypeId = ct.CategoryTypeId
WHERE LewisSplit = 'TRAIN'
AND ct.Name = @catName
AND a.Body IS NOT NULL
AND a.Body != ''
AND a.Body NOT LIKE '%Shr%vs%'
AND a.Body NOT LIKE 'Qtly%vs%'
";
SqlCommand cmd = new SqlCommand(sql);
SqlParameter param = new SqlParameter();
param.ParameterName = "@catName";
param.Value = cat.Name;
cmd.Parameters.Add(param);
cmd.Connection = conn;
conn.Open();
SqlDataReader reader = cmd.ExecuteReader();
while(reader.Read())
{
cat.TimesInTraining = (int)reader[0];
}
conn.Close();
}
}
private void BuildTrainingObjects()
{
try
{
// Read the categories.xml file and determine how many categories are defined
Dictionary<string, double> definedCategories = NaiveClassifier.ReadXml();
int numOfCats = definedCategories.Count;
this.classifiers = new ClassifierObject[numOfCats];
XmlTextReader reader = new XmlTextReader(NaiveClassifier.GetTrainingFilestring());
// Initialize the values need to keep track of the XML document
int classifierCount = -1;
string testString = "";
string tempWord = "";
ClassifierObject classy = new ClassifierObject("");
while (reader.Read())
{
if (reader.NodeType == XmlNodeType.Element)
{
testString=reader.Name;
if (reader.Name == "classifier")
{
classifierCount++;
classy = new ClassifierObject("");
this.classifiers[classifierCount] = classy;
}
else if (reader.Name == "word")
{
tempWord = "";
}
}
else if (reader.NodeType == XmlNodeType.Text)
{
if (testString == "name")
{
this.classifiers[classifierCount].Name = reader.Value;
}
else if (testString == "training_count")
{
this.classifiers[classifierCount].TimesInTraining = Convert.ToInt32(reader.Value);
}
else if (testString == "text")
{
tempWord = reader.Value;
this.classifiers[classifierCount].AddWord(tempWord, "");
}
else if (testString == "probability")
{
WordObject wordObj = this.classifiers[classifierCount].GetWord(tempWord);
wordObj.SetProb(Convert.ToDouble(reader.Value));
}
else if (testString == "times_seen")
{
WordObject wordObj = this.classifiers[classifierCount].GetWord(tempWord);
wordObj.TimesInTraining = Convert.ToInt32(reader.Value);
}
}
}
}
catch(Exception ex)
{
Console.WriteLine(ex.ToString());
}
}
protected abstract void SetTrainingCount(ClassifierObject cat);
protected abstract DataTable GetTrainingArticles(ClassifierObject cat);
