private async Task AnalyzeTextAsync()
{
try
{
if (!string.IsNullOrEmpty(this.speechRecognitionTextBox.Text))
{
SentimentResult textAnalysisResult = await TextAnalyticsHelper.GetTextSentimentAsync(new string[] { this.speechRecognitionTextBox.Text });
double score = textAnalysisResult.Scores.ElementAt(0);
this.sentimentControl.Sentiment = score;
}
else
{
this.sentimentControl.Sentiment = 0.5;
}
this.OnSpeechRecognitionAndSentimentProcessed(new SpeechRecognitionAndSentimentResult {
SpeechRecognitionText = this.speechRecognitionTextBox.Text, TextAnalysisSentiment = this.sentimentControl.Sentiment
});
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Error during Text Analytics call.");
}
}
private async Task SearchAsync(string query)
{
try
{
this.TopKeyPhrases.Clear();
this.latestSearchResult.Clear();
this.FilteredNewsResults.Clear();
this.sentimentDistributionControl.UpdateData(Enumerable.Empty <double>());
this.progressRing.IsActive = true;
string userLanguage = this.languageComboBox.SelectedValue.ToString();
var news = await BingSearchHelper.GetNewsSearchResults(query, count : 50, offset : 0, market : GetBingSearchMarketFromLanguage(userLanguage));
Task <SentimentResult> sentimentTask = TextAnalyticsHelper.GetTextSentimentAsync(news.Select(n => n.Title).ToArray(), language: GetTextAnalyticsLanguageCodeFromLanguage(userLanguage));
Task <KeyPhrasesResult> keyPhrasesTask;
if (IsLanguageSupportedByKeyPhraseAPI(userLanguage))
{
keyPhrasesTask = TextAnalyticsHelper.GetKeyPhrasesAsync(news.Select(n => n.Title).ToArray(), language: GetTextAnalyticsLanguageCodeFromLanguage(userLanguage));
}
else
{
keyPhrasesTask = Task.FromResult(new KeyPhrasesResult {
KeyPhrases = new string[][] { new string [] { "Not available in this language" } }
});
}
await Task.WhenAll(sentimentTask, keyPhrasesTask);
var sentiment = sentimentTask.Result;
for (int i = 0; i < news.Count(); i++)
{
NewsArticle article = news.ElementAt(i);
this.latestSearchResult.Add(new NewsAndSentimentScore {
Article = article, TitleSentiment = Math.Round(sentiment.Scores.ElementAt(i), 2)
});
}
UpdateFilteredResults();
this.sentimentDistributionControl.UpdateData(this.latestSearchResult.Select(n => n.TitleSentiment));
var wordGroups = keyPhrasesTask.Result.KeyPhrases.SelectMany(k => k).GroupBy(phrase => phrase, StringComparer.OrdinalIgnoreCase).OrderByDescending(g => g.Count()).Take(10).OrderBy(g => g.Key);
this.TopKeyPhrases.AddRange(wordGroups.Select(g => new KeyPhraseCount {
KeyPhrase = g.Key, Count = g.Count()
}));
}
catch (HttpRequestException ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Processing error");
}
finally
{
this.progressRing.IsActive = false;
}
}
private async Task AnalyzeTextAsync()
{
try
{
if (!string.IsNullOrEmpty(this.speechRecognitionTextBox.Text))
{
SentimentResult textAnalysisResult = await TextAnalyticsHelper.GetTextSentimentAsync(this.translatedText, this.detectedLanguage[0]);
this.sentimentControl.Sentiment = textAnalysisResult.Score;
}
else
{
this.sentimentControl.Sentiment = 0.5;
}
this.OnSpeechRecognitionAndSentimentProcessed(new SpeechRecognitionAndSentimentResult {
SpeechRecognitionText = this.speechRecognitionTextBox.Text, TextAnalysisSentiment = this.sentimentControl.Sentiment, DetectedLanguage = this.detectedLanguage[1], TranslatedText = this.translatedText
});
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Error during Text Analytics 'Sentiment' call.");
}
}