public async Task <TextAnalysisDocumentStore> ExtractKeyphrases(TextAnalysisDocumentStore S)
{
var R = await ExtractKeyPhrasesRaw(S);
CopyDocumentInfo(S, R);
return(R);
}
public async Task <TextAnalysisDocumentStore> AnalyzeSentiment(TextAnalysisDocumentStore S)
{
var R = await AnalyzeSentimentRaw(S);
CopyDocumentInfo(S, R);
return(R);
}
public async Task <double> AnalyzeSentiment(string text, string lang = "en")
{
var T = new TextAnalysisDocumentStore(new TextAnalysisDocument("id", lang, text));
var R = await AnalyzeSentimentRaw(T);
return(R.documents[0].score);
}
public static async Task <TextAnalysisDocumentStore> GetPhrasesforConversation()
{
TextAnalysisClient client = new TextAnalysisClient("d75051af54634a9e809edf8b2bf4e262");
TextAnalysisDocumentStore SentResponse = await client.ExtractKeyphrases(fullConvHistory);
return(SentResponse);
}
public async Task AddSentance(string text, TextAnalysisDocumentStore fullhistory)
{
MessageCount++;
Sentances.Add(text);
if (Sentances.Count > 2)
{
string merged = string.Empty;
foreach (string item in Sentances)
{
merged += " " + item;
}
TextAnalysisDocumentStore localStore = new TextAnalysisDocumentStore();
TextAnalysisDocument doc = new TextAnalysisDocument()
{
id = (localStore.documents.Count + 1).ToString(), text = merged
};
localStore.documents.Add(doc);
TextAnalysisClient client = new TextAnalysisClient("d75051af54634a9e809edf8b2bf4e262");
Sentances.Clear();
TextAnalysisDocumentStore SentResponse = await client.AnalyzeSentiment(localStore);
this.Sentiment = SentResponse.documents[0].score;
Graph.Add(ConversationState.GlobalTime++, Sentiment);
doc.id = (Convert.ToInt64(fullhistory.documents.Count) + 1).ToString();
fullhistory.documents.Add(doc);
}
}
private static void CopyDocumentInfo(TextAnalysisDocumentStore S, TextAnalysisDocumentStore R)
{
for (int i = 0; i < R.documents.Count; i++)
{
var t = (from x in S.documents
where x.id == R.documents[i].id
select x).FirstOrDefault();
if (t != null)
{
R.documents[i].text = t.text;
R.documents[i].language = t.language;
}
}
}
public async void AddSentance(string text)
{
Sentances.Add(text);
if (Sentances.Count > 2)
{
string merged = string.Empty;
foreach (string item in Sentances)
{
merged += " " + item;
}
TextAnalysisDocumentStore localStore = new TextAnalysisDocumentStore();
localStore.documents.Add(new MediatorLib.TextAnalysisDocument()
{
id = (localStore.documents.Count + 1).ToString(), text = merged
});
MediatorLib.TextAnalysisClient client = new MediatorLib.TextAnalysisClient("d75051af54634a9e809edf8b2bf4e262");
Sentances.Clear();
MediatorLib.TextAnalysisDocumentStore SentResponse = await client.AnalyzeSentiment(localStore);
this.Sentiment = SentResponse.documents[0].score;
}
}
public async Task <TextAnalysisDocumentStore> ExtractKeyPhrasesRaw(TextAnalysisDocumentStore S)
{
var client = new HttpClient();
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", api_key);
HttpResponseMessage response;
var s = Newtonsoft.Json.JsonConvert.SerializeObject(S);
byte[] byteData = Encoding.UTF8.GetBytes(s);
TextAnalysisDocumentStore res;
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
response = await client.PostAsync(api_uri_keyphrases, content);
var rstr = await response.Content.ReadAsStringAsync();
res = Newtonsoft.Json.JsonConvert.DeserializeObject <TextAnalysisDocumentStore>(rstr);
}
return(res);
}
