public static void Train(string train, string test, string root)
{
ITokenizer tokenizer = new MSRA.NLC.Common.NLP.Twitter.TwitterTokenizer();
IWordNormalizer wordNormalizer = null;
wordNormalizer = new TweetWordNormalizer();
ITextConverter textConverter = new BaseTextConverter(tokenizer, null, null, wordNormalizer);
Train_Test(train, test, textConverter);
}
public SentimentAnalyzer()
{
Console.WriteLine("[LOG] /BEGIN AT {0}\n", DateTime.Now.ToString());
// Please copy the models from <code>\\msranlcqa02\social\root\model</code> and set
// the root path to your local copy.
//Constants.SPP_RootPath = @"../../../../SentimentAnalyzeRoot";
Constants.SPP_RootPath = @"Utils\\SentimentAnalysis";
// train a model and test it
// NOTE: SET THIS FLAG AS TRUE IF YOU WANT TO TRAIN YOUR OWN MODEL!
bool train_test_flag = false;
if (train_test_flag)
{
// Train and test data from SemEval 2013 <code>\\msranlcqa02\social\root\data</code>
string train = Path.Combine(Constants.SPP_RootPath, @"data\train");
string test = Path.Combine(Constants.SPP_RootPath, @"data\test");
SentimentLearner.Train(train, test, Constants.SPP_RootPath);
return;
}
ITokenizer tokenizer = new TwitterTokenizer();
IWordNormalizer wordNormalizer = new TweetWordNormalizer();
ITextConverter textConverter = new BaseTextConverter(tokenizer, null, null, wordNormalizer);
classifier = "LIBLINEAER";
//classifier = "svm_light";
ISemanticTagger lexiconTagger = new LexiconSentimentTagger(tokenizer);
SECoreImpl coreImpl = CreateLearningCoreImpl(Constants.SPP_RootPath);
_engine = new SentimentEngine(textConverter, lexiconTagger, coreImpl);
Console.WriteLine("\n[LOG] /END AT {0}\n", DateTime.Now.ToString());
string testFilePath = Path.Combine(Constants.SPP_RootPath, @"data\test");
//testFilePath = @"D:\users\fuwei\Sentiment\root\data\carol\full";
Test(testFilePath, _engine);
}