/// <summary>
/// Command function to execute the linguistic analysis, based on the given analyzers and input query
/// Results is displayed in the UI
/// </summary>
/// <param name="obj"></param>
private async void ExecuteOperation(object obj)
{
var queryString = HttpUtility.ParseQueryString("analyze");
LinguisticRequest request = new LinguisticRequest
{
language = "en",
analyzerIds = SelectedAnalyzers.Select(x => x.id).ToArray(),
text = InputQuery
};
AnalyzerResults[] results = await _webRequest.MakeRequest <LinguisticRequest, AnalyzerResults[]>(HttpMethod.Post, queryString.ToString(), request);
if (results == null || results.Length == 0)
{
Result = "Could not analyze text.";
return;
}
StringBuilder sb = new StringBuilder();
foreach (AnalyzerResults analyzedResult in results)
{
sb.AppendFormat("{0}\n", analyzedResult.result.ToString());
}
Result = sb.ToString();
}
private async Task AnalyzeSpeechParts(IDialogContext context, string sentence)
{
var client = new HttpClient();
var queryString = HttpUtility.ParseQueryString(String.Empty);
// Request headers
client.DefaultRequestHeaders.Add("Ocp-Apim-Subscription-Key", "643750b150eb47f79c7ef20fac882676");
var uri = "https://westus.api.cognitive.microsoft.com/linguistics/v1.0/analyze?" + queryString;
HttpResponseMessage response;
var body = new LinguisticRequest {
Language = "en", Text = sentence, AnalyzerIds = new List <string>()
};
//body.AnalyzerIds.Add("4fa79af1-f22c-408d-98bb-b7d7aeef7f04");
//body.AnalyzerIds.Add("08EA174B-BFDB-4E64-987E-602F85DA7F72");
body.AnalyzerIds.Add("22a6b758-420f-4745-8a3c-46835a67c0d2");
var jsonBody = JsonConvert.SerializeObject(body);
// Request body
byte[] byteData = Encoding.UTF8.GetBytes(jsonBody);
List <LinquisticResponse> linguisticResponse;
try
{
using (var content = new ByteArrayContent(byteData))
{
content.Headers.ContentType = new MediaTypeHeaderValue("application/json");
response = await client.PostAsync(uri, content);
var json = await response.Content.ReadAsStringAsync();
Debug.WriteLine(json);
linguisticResponse = JsonConvert.DeserializeObject <List <LinquisticResponse> >(json);
}
if (linguisticResponse != null)
{
GrammarStatistics.ParseParts(linguisticResponse[0]);
string result = GrammarStatistics.AnalysisResult;
var message = context.MakeMessage();
message.Text = result.Replace("\r\n", "\n\n");
await context.PostAsync(message);
}
}
catch (Exception ex)
{
// Place exception handling here.
}
context.Wait(this.MessageReceived);
}
public ActionResult Login([FromBody] LinguisticRequest linguisticRequest)
{
var directory = Directory.GetCurrentDirectory();
directory = Path.Combine(directory, "Artifacts");
var wordNet = new WordNetEngine();
var words = new List <String>();
try
{
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.adj")), PartOfSpeech.Adjective);
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.adv")), PartOfSpeech.Adverb);
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.noun")), PartOfSpeech.Noun);
wordNet.AddDataSource(new StreamReader(Path.Combine(directory, "data.verb")), PartOfSpeech.Verb);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.adj")), PartOfSpeech.Adjective);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.adv")), PartOfSpeech.Adverb);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.noun")), PartOfSpeech.Noun);
wordNet.AddIndexSource(new StreamReader(Path.Combine(directory, "index.verb")), PartOfSpeech.Verb);
wordNet.Load();
var synSetList = wordNet.GetSynSets(linguisticRequest.Word);
if (synSetList.Count == 0)
{
return(BadRequest(new { message = "No Words Found." }));
}
foreach (var synSet in synSetList)
{
foreach (string word in synSet.Words)
{
words.Add(word);
}
}
return(Ok(words));
}
catch (Exception ex)
{
return(BadRequest(new { message = ex.Message }));
}
}
