static void Main(string[] args)
{
Console.WriteLine("[START]\tTraining started");
NaiveBayesClassifier sentimentClassifier = new NaiveBayesClassifier();
sentimentClassifier.Train(new TestDataParser("Resources/SentimentTrainingData.txt"));
Console.WriteLine("[END]\tTraining");
Console.WriteLine();
Console.WriteLine("[START]\tFriendlist parsing");
FriendListParser parser = new FriendListParser("Resources/friendships.reviews.txt");
parser.Parse();
File.WriteAllText("graph.csv", parser.Community.ToGraph());
Console.WriteLine("[END]\t\tFriendlist parsing");
Console.WriteLine();
Console.WriteLine("[START]\t\tIdentifying communities");
CommunityIdentifier communityIdentifier = new CommunityIdentifier(parser.Community);
DateTime start = DateTime.Now;
List<Community> subCommunities = communityIdentifier.Identify();
Console.WriteLine("[END]\t\tIdentifying communities");
Console.WriteLine();
Console.WriteLine("[START]\t\tAnalysing communities");
CommunityAnalyzer communityAnalyzer = new CommunityAnalyzer(sentimentClassifier, subCommunities);
string filename = "result.csv";
communityAnalyzer.Analyze(filename);
Console.WriteLine("[END]\t\tAnalysing communities: Results written to {0}", filename);
Console.WriteLine("Identied communities: " + subCommunities.Count);
Console.WriteLine("\nSub communities:");
foreach (var community in subCommunities)
{
Console.WriteLine(community.Size);
community.Dispose();
}
communityAnalyzer.Dispose();
communityIdentifier.Dispose();
sentimentClassifier.Dispose();
Console.WriteLine(DateTime.Now.Subtract(start).ToString("g"));
Console.WriteLine("Finished everything. Press to exit");
Console.ReadLine();
}
