static void Main(string[] args)
{
ProcessInput processInput = new ProcessInput();
data.Input inputData = new data.Input();
inputData.ReadInputData();
processInput.ProcessInputData();
}
public void ProcessInputData()
{
Console.WriteLine("Processing input file...");
dbPediaAccess dbPediaChecker = new dbPediaAccess();
var jarRoot = @"C:\Users\micha\source\repos\ConsoleApp2\ConsoleApp2\data\paket-files\nlp.stanford.edu\stanford-ner-2016-10-31";
var classifiersDirecrory = jarRoot + @"\classifiers";
var classifier = CRFClassifier.getClassifierNoExceptions(classifiersDirecrory + @"\english.all.3class.distsim.crf.ser.gz");
IGraph g = new Graph();
new TurtleParser().Load(g, inputPath);
var triples = g.Triples.Where(q => q.Predicate.ToString().ToLower().Contains("isString".ToLower())).GroupBy(q => q.Object).Select(q => q.First());
//https://csharp.hotexamples.com/examples/VDS.RDF.Parsing/TurtleParser/-/php-turtleparser-class-examples.html\
//linq microsoft, regex
var dataSet = new List <data.Input>();
foreach (var t in triples)
{
var match = new Regex("char=([0-9]+),([0-9]+)").Match(t.Subject.ToString());
if (!match.Success)
{
continue;
}
int startIndex = 0;
int stopIndex = int.Parse(match.Groups[2].Value);
var newData = new data.Input(t.Object.ToString().Substring(startIndex, stopIndex));
dataSet.Add(newData);
}
//http://sergey-tihon.github.io/Stanford.NLP.NET/StanfordNER.html
Console.WriteLine();
string classifierOutput = "";
for (int cnt = 0; cnt < dataSet.Count(); cnt++)
{
classifierOutput = classifier.classifyWithInlineXML(dataSet[cnt].sentence);
// Console.WriteLine("{0}\n", classifierOutput);
Console.WriteLine(dataSet[cnt].sentence + "\n");
EntityExtractor(classifierOutput, "LOCATION");
EntityExtractor(classifierOutput, "ORGANIZATION");
EntityExtractor(classifierOutput, "PERSON");
if (locationEntityL.Count > 0)
{
locationEntityL.Distinct();
Console.WriteLine("Locations:");
for (int i = 0; i < locationEntityL.Count; i++)
{
Console.WriteLine(locationEntityL[i]);
dbPediaChecker.checkdBPedia("Place", locationEntityL[i]);
}
Console.WriteLine();
locationEntityL.Clear();
}
if (organizationEntityL.Count > 0)
{
organizationEntityL.Distinct();
Console.WriteLine("Organisations:");
for (int i = 0; i < organizationEntityL.Count; i++)
{
Console.WriteLine(organizationEntityL[i]);
dbPediaChecker.checkdBPedia("Organisation", organizationEntityL[i]);
}
Console.WriteLine();
organizationEntityL.Clear();
}
if (personEntityL.Count > 0)
{
personEntityL.Distinct();
Console.WriteLine("Persons:");
for (int i = 0; i < personEntityL.Count; i++)
{
Console.WriteLine(personEntityL[i]);
dbPediaChecker.checkdBPedia("Person", personEntityL[i]);
}
Console.WriteLine();
personEntityL.Clear();
}
}
// Console.WriteLine("{0}\n", classifier.classifyToString(dataSet.First().sentence));
// (
//var s1 = "Good afternoon Rajat Raina, how are you today?";
//Console.WriteLine("{0}\n", classifier.classifyToString(s1));
//var s2 = "I go to school at Stanford University, which is located in California.";
//Console.WriteLine("{0}\n", classifier.classifyWithInlineXML(s2));
//var s3 = "Michael Jackson and Donald Trump never met in New York.";
//Console.WriteLine("{0}\n", classifier.classifyWithInlineXML(s3));
//Console.WriteLine("{0}\n", classifier.classifyToString(s2, "xml", true));
Console.ReadKey();
}