public void GetSentenceScore()
{
var service = new SentenceScoreService(new OpenieScoreService(), new SubjectPredicateObjectScoreService(new SubjectPredicateObjectTokenScoreService()), new TokenScoreService(), new SentimentScoreService(), new SentenceTypeScoreService(), new VoiceScoreService());
var targetTriples = new List <OpenieTriple>();
targetTriples.Add(new OpenieTriple {
Subject = "sharks", Relation = "eat", Object = "meat"
});
var target = new Sentence {
OpenieTriples = targetTriples, Subject = new Token {
Word = "sharks"
}, Object = new Token {
Word = "sharks"
}, Predicate = new Token {
Word = "sharks"
}
};
var result = service.GetScore(target, target);
Assert.Equal(1, result);
}
public MatchConfidenceService(SentenceScoreService sentenceScoreService)
{
_sentenceScoreService = sentenceScoreService;
}
public void TestRealSentences()
{
var service = GetAnalyzationService();
var conversation = new Conversation();
conversation.name = "Test";
conversation.responses = new List <AnalyzedChat>();
var analyzedChat = new AnalyzedChat
{
botName = "sharkbot",
chat = new Chat
{
message = "suh",
user = "******",
botName = "sharkbot"
}
};
conversation.responses.Add(analyzedChat);
analyzedChat = new AnalyzedChat
{
botName = "sharkbot",
chat = new Chat
{
message = "hey",
user = "******",
botName = "sharkbot"
}
};
conversation.responses.Add(analyzedChat);
analyzedChat = new AnalyzedChat
{
botName = "sharkbot",
chat = new Chat
{
message = "I like to ride my bike at night.",
user = "******",
botName = "sharkbot"
}
};
conversation.responses.Add(analyzedChat);
analyzedChat = new AnalyzedChat
{
botName = "sharkbot",
chat = new Chat
{
message = "suh dude",
user = "******",
botName = "sharkbot"
}
};
conversation.responses.Add(analyzedChat);
var analyzedConversation = service.AnalyzeConversationAsync(conversation);
var target = analyzedConversation.responses[0].naturalLanguageData.sentences[0];
var existing = analyzedConversation.responses[1].naturalLanguageData.sentences[0];
var existing2 = analyzedConversation.responses[2].naturalLanguageData.sentences[0];
var existing3 = analyzedConversation.responses[3].naturalLanguageData.sentences[0];
var scoreService = new SentenceScoreService(new OpenieScoreService(), new SubjectPredicateObjectScoreService(new SubjectPredicateObjectTokenScoreService()), new TokenScoreService(), new SentimentScoreService(), new SentenceTypeScoreService(), new VoiceScoreService());
var result = scoreService.GetScore(target, existing);
var result2 = scoreService.GetScore(target, existing2);
var result3 = scoreService.GetScore(target, existing3);
}
