static void StartManualReviewMode()
{
RestaurantReviewReader dataReader = new RestaurantReviewReader();
IEnumerable <RestaurantReview> restaurantReviewsTrainingSet = dataReader.LoadRecords("Dataset/Restaurant_Reviews.tsv");
RestaurantReviewClassifier restaurantReviewClassifier = new RestaurantReviewClassifier(restaurantReviewsTrainingSet);
while (true)
{
Console.WriteLine("Type a review:");
string review = Console.ReadLine();
bool isPositive = restaurantReviewClassifier.PredictIsPositiveReview(review);
Console.WriteLine("I think this is a " + (isPositive ? "positive" : "negative") + " review");
Console.WriteLine(string.Empty);
}
}
static void PerformBulkTest()
{
RestaurantReviewReader dataReader = new RestaurantReviewReader();
IEnumerable <RestaurantReview> allRestaurantReviews = dataReader.LoadRecords("Dataset/Restaurant_Reviews.tsv");
IEnumerable <RestaurantReview> trainingSet = allRestaurantReviews.Take(900);
IEnumerable <RestaurantReview> testSet = allRestaurantReviews.Skip(trainingSet.Count());
RestaurantReviewClassifier restaurantReviewClassifier = new RestaurantReviewClassifier(trainingSet);
foreach (RestaurantReview restaurantReview in testSet)
{
restaurantReview.Prediction = restaurantReviewClassifier.PredictIsPositiveReview(restaurantReview.Review);
}
IEnumerable <RestaurantReview> incorrectPrediction = testSet.Where(x => x.Prediction != Convert.ToBoolean(x.IsPositive));
Console.WriteLine($"Number of correct predictions: {testSet.Count() - incorrectPrediction.Count()}");
Console.WriteLine($"Number of incorrect predictions: {incorrectPrediction.Count()}");
Console.Read();
}
