public NaturalLanguageData AnalyzeMessage(Chat chat)
{
var document = new Document(chat.message);
var sentences = new List <ChatModels.Sentence>();
foreach (var s in document.Sentences)
{
var sentence = new ChatModels.Sentence();
sentence.tokens = new List <Token>();
for (var index = 0; index < s.Words.Count; index++)
{
var token = new Token();
token.POSTag = s.PosTags.ToList()[index];
token.Lexeme = s.Lemmas.ToList()[index];
token.Stem = s.Lemmas.ToList()[index];
sentence.tokens.Add(token);
}
sentence.interrogative = isInterrogative(s);
sentence.chunks = new List <Chunk>();
sentence.triplets = new Triplets();
sentences.Add(sentence);
}
var naturalLanguageData = new NaturalLanguageData();
naturalLanguageData.sentences = sentences;
return(naturalLanguageData);
}
public List <ChatModels.Sentence> AnalyzeMessage(string message)
{
var sentences = new List <ChatModels.Sentence>();
if (message == null)
{
message = string.Empty;
}
var document = new Document(message);
foreach (var stanfordSentence in document.Sentences)
{
var source = stanfordSentence.ToString();
var tokens = _tokenService.GetTokens(stanfordSentence);
var openieTriples = new List <OpenieTriple>();
try
{
openieTriples = _openieService.GetOpenieTriples(stanfordSentence.OpenIe);
}
catch (UnhandledLibraryException simpleNlpException)
{
openieTriples = new List <OpenieTriple>();
}
var sentenceType = _sentenceTypeService.GetSentenceType(tokens);
var subject = _subjectService.GetSubject(openieTriples, tokens, sentenceType);
var sentenceObject = _objectService.GetObject(openieTriples, tokens, sentenceType);
var predicate = _predicateService.GetPredicate(openieTriples, tokens, sentenceType);
var analyzedSentence = new ChatModels.Sentence
{
Source = source,
Sentiment = _sentimentAnalyzationService.GetSentiment(source),
Tokens = tokens,
OpenieTriples = openieTriples,
SentenceType = sentenceType,
Voice = _voiceService.GetVoice(tokens),
Subject = subject,
Object = sentenceObject,
Predicate = predicate,
};
sentences.Add(analyzedSentence);
}
return(sentences);
}
