private static List<ComponentEvaluationMetric> GenerateAccuracyMetrics(double minimumSupport)
{
var idList = new int[] { 434, 482, 483, 502, 505 };
var componentList = new List<ComponentEvaluationMetric>();
foreach (var productId in idList)
{
var query = string.Format(@"select nouns_in_review from reviewdata where product_ref_id = {0}", productId);
var dataSet = Utility.MySqlAccess.ExecuteQuery(query);
var transactions = new List<string>();
var distinctNounList = new List<string>();
foreach (DataRow row in dataSet.Tables[0].Rows)
{
var nounArray = row[0].ToString().Split(',');
foreach (var noun in nounArray)
distinctNounList.Add(noun);
transactions.Add(row[0].ToString().Replace(",", "|"));
}
AprioriAlgorithm.IApriori ap = new AprioriAlgorithm.Apriori();
var output = ap.ProcessTransaction(minimumSupport, minimumSupport, distinctNounList.Distinct(), transactions.ToArray());
var actualComponentSet = Utility.MySqlAccess.ExecuteQuery(string.Format("select component_list from manually_labelled_components where product_ref_id ={0}", productId));
if (actualComponentSet.Tables[0].Rows.Count > 0)
{
var actualComponents = actualComponentSet.Tables[0].Rows[0][0].ToString().Split(',');
componentList.Add(new ComponentEvaluationMetric { ProductId = productId, MinimumSupport = minimumSupport, PredictedComponentList = output.FrequentItems.Select(a => a.Name).ToList(), ActualComponentList = actualComponents.ToList() });
foreach (var component in componentList)
{
Console.WriteLine(component.ProductId);
Console.WriteLine(string.Join(",", component.PredictedComponentList.OrderBy(x => x).ToArray()));
Console.WriteLine("MetricValue: " + component.MetricValue);
Console.WriteLine("Support: " + minimumSupport);
Console.WriteLine("----------------------------------------");
}
}
}
return componentList;
}
private static void ConsoleTesting()
{
start:
Console.WriteLine("Enter Product ID: ");
var productId = 0; // 434,482,483,502,505
var input = Console.ReadLine();
if (int.TryParse(input, out productId))
{
//get the noun list for every product
//var productId = 2213;
Console.WriteLine("Product Name : " + Utility.MySqlAccess.ExecuteQuery(string.Format("select item_name from item where item_id ={0}", productId)).Tables[0].Rows[0][0].ToString());
var query = string.Format(@"select nouns_in_review from reviewdata where product_ref_id = {0}", productId);
var dataSet = Utility.MySqlAccess.ExecuteQuery(query);
var transactions = new List<string>();
var distinctNounList = new List<string>();
foreach (DataRow row in dataSet.Tables[0].Rows)
{
var nounArray = row[0].ToString().Split(',');
foreach (var noun in nounArray)
distinctNounList.Add(noun);
transactions.Add(row[0].ToString().Replace(",", "|"));
}
AprioriAlgorithm.IApriori ap = new AprioriAlgorithm.Apriori();
var output = ap.ProcessTransaction(0.3, 0.3, distinctNounList.Distinct(), transactions.ToArray());
Console.WriteLine("Total Reviews : " + transactions.Count);
foreach (var item in output.FrequentItems)
Console.WriteLine(item.Name + " | " + item.Support);
if (output.FrequentItems.Count == 0)
Console.WriteLine("No components found.");
//Console.ReadLine();
goto start;
}
Console.WriteLine("Exiting...");
}
