public TwitterFeedSearcher(string directoryPath)
{
dir = FSDirectory.GetDirectory(directoryPath);
searcher = new IndexSearcher(dir);
var positiveReviews = new Evidence("Positive", "Repository\\Positive.Evidence.csv");
var negativeReviews = new Evidence("Negative", "Repository\\Negative.Evidence.csv");
classifier = new Classifier(positiveReviews, negativeReviews);
}
static void Main()
{
const string url = "http://www.engadget.com/2014/02/19/nokia-lumia-icon-review/";
//These evidences are used as training data for the Dragon Classigfier
var positiveReviews = new Evidence("Positive", "Repository\\Positive.Evidence.csv");
var negativeReviews = new Evidence("Negative", "Repository\\Negative.Evidence.csv");
var testData = GetWebpageContents(url);
var classifier = new Classifier(positiveReviews, negativeReviews);
var scores = classifier.Classify(testData, DragonHelper.DragonHelper.ExcludeList);
Console.WriteLine("Positive Score for " + url + " - " + scores["Positive"]);
}
static void Main(string[] args)
{
var connectionString = "mongodb://10.0.0.17/test";
//var connectionString = "mongodb://localhost/test";
MongoClient mongoClient = new MongoClient(connectionString);
MongoServer mongoServer = mongoClient.GetServer();
MongoDatabase db = mongoServer.GetDatabase("test");
var collection = db.GetCollection<TweetItem>("TweetItems");
var positiveReviews = new Evidence("Positive", "Repository\\Positive.Evidence.csv");
var negativeReviews = new Evidence("Negative", "Repository\\Negative.Evidence.csv");
classifier = new Classifier(positiveReviews, negativeReviews);
CreateIndex(collection);
}