public void Test_First_Get_Learn_State()
{
var initSentences = new[]
{ new Sentence("hate", WordCategory.Negative), new Sentence("love", WordCategory.Positive) };
var learningService = LearningService.WithCacheService(new CacheServiceForTests()).WithLearner(new TweetLearner()).WithSentences(initSentences).Build();
var learnerState = learningService.Get();
learnerState.Should().NotBeNull();
learnerState.WordPerQuantity.Keys.Count().Should().Be(2);
learnerState.CategoryPerQuantity.Keys.Count().Should().Be(2);
}
public void Test_Classifier_With_Many_Tweets_When_All_Tweets_Are_Positive()
{
var initSentences = new[]
{ new Sentence("hate", WordCategory.Negative), new Sentence("love", WordCategory.Positive) };
var learningService = LearningService.WithCacheService(new CacheServiceForTests()).WithLearner(new TweetLearner()).WithSentences(initSentences).Build();
var service = new BayesAnalysisService(learningService, new TweetClassifier());
var testResult = service.Analyze(Enumerable.Range(0, 10000).Select(x => new Tweet
{
Text = "love and sun"
}).ToList());
testResult.IsSuccess.Should().BeTrue();
testResult.Value.First().Sentiment.Should().Be(WordCategory.Positive);
}
public async Task Test_Async_Classifier_With_Many_Tweets_When_All_Tweets_Are_Positive()
{
var testClassifier = A(TestLearnState().WithSentence(ImmutableDictionary <string, int> .Empty.Add("f**k", -1).Add("love", 4).Add("suck", -5).Add("sun", 5)));
var initSentences = new[]
{ new Sentence("hate", WordCategory.Negative), new Sentence("love", WordCategory.Positive) };
var learningService = LearningService.WithCacheService(new CacheServiceForTests()).WithLearner(new TweetLearner()).WithSentences(initSentences).Build();
var service = new BayesAnalysisService(learningService, new TweetClassifier());
var testResult = await service.AnalyzeAsync(Enumerable.Range(0, 10000).Select(x => new Tweet
{
Text = "love and sun"
}).ToList());
testResult.IsSuccess.Should().BeTrue();
testResult.Value.First().Sentiment.Should().Be(WordCategory.Positive);
}
public async Task Test_Async_Classifier_When_All_Tweets_Are_Negative()
{
var initSentences = new[]
{ new Sentence("hate", WordCategory.Negative), new Sentence("love", WordCategory.Positive) };
var learningService = LearningService.WithCacheService(new CacheServiceForTests()).WithLearner(new TweetLearner()).WithSentences(initSentences).Build();
var service = new BayesAnalysisService(learningService, new TweetClassifier());
var testResult = await service.AnalyzeAsync(new List <Tweet>
{
new Tweet
{
Text = "f**k and suck"
}
});
testResult.IsSuccess.Should().BeTrue();
testResult.Value.First().Sentiment.Should().Be(WordCategory.Negative);
}