private async Task AnalyzeTextAsync()
{
try
{
this.progressControl.IsActive = true;
DisplayProcessingUI();
string input = this.inputText.Text;
var detectedLanguageTask = TextAnalyticsHelper.DetectLanguageAsync(input);
var detectedKeyPhrasesTask = TextAnalyticsHelper.ExtractKeyPhrasesAsync(input);
var documentSentimentTask = TextAnalyticsHelper.AnalyzeSentimentAsync(input, sentimentAnalyses: AdditionalSentimentAnalyses.OpinionMining);
var namedEntitiesResponseTask = TextAnalyticsHelper.RecognizeEntitiesAsync(input);
var linkedEntitiesResponseTask = TextAnalyticsHelper.RecognizeLinkedEntitiesAsync(input);
await Task.WhenAll(detectedLanguageTask, detectedKeyPhrasesTask, documentSentimentTask, namedEntitiesResponseTask, linkedEntitiesResponseTask);
var detectedLanguage = detectedLanguageTask.Result;
var detectedKeyPhrases = detectedKeyPhrasesTask.Result;
var documentSentiment = documentSentimentTask.Result;
var namedEntitiesResponse = namedEntitiesResponseTask.Result;
var linkedEntitiesResponse = linkedEntitiesResponseTask.Result;
// detected language and key phrases
this.detectedLangTextBlock.Text = !string.IsNullOrEmpty(detectedLanguage.Name) ? $"{detectedLanguage.Name} (confidence: {(int)(detectedLanguage.ConfidenceScore * 100)}%)" : "Not found";
this.detectedKeyPhrasesTextBlock.Text = detectedKeyPhrases.Any() ? string.Join(", ", detectedKeyPhrases) : "Not found";
// document sentiment
CreateSentimentChart(documentSentiment);
// mined opinions
OpinionMiningCollection.Clear();
var minedOpinions = documentSentiment?.Sentences.SelectMany(s => s.MinedOpinions);
if (minedOpinions != null && minedOpinions.Any())
{
var minedOpinionList = minedOpinions.Select(om => new MinedOpinion()
{
Aspect = om.Aspect.Text,
Opinions = string.Join(", ", om.Opinions.Select(o => $"{o.Text} ({o.Sentiment.ToString("G")})"))
});
OpinionMiningCollection.AddRange(minedOpinionList);
}
// entities
if (namedEntitiesResponse.Any())
{
this.namesEntitiesGridView.ItemsSource = namedEntitiesResponse.Select(x => new { x.Text, Category = $"[{x.Category}]" });
}
else
{
this.namesEntitiesGridView.ItemsSource = new[] { new { Text = "No entities" } };
}
// linked entities
if (linkedEntitiesResponse.Any())
{
this.linkedEntitiesGridView.ItemsSource = linkedEntitiesResponse.Select(x => new { Name = $"{x.Name} ({x.DataSource})", x.Url });
}
else
{
this.linkedEntitiesGridView.ItemsSource = new[] { new { Name = "No linked entities" } };
}
// prepare json result
var jsonResult = new
{
LanguageDetection = detectedLanguage,
KeyPhrases = detectedKeyPhrases,
Sentiment = documentSentiment,
Entities = namedEntitiesResponse,
EntityLinking = linkedEntitiesResponse
};
this.jsonResultTextBlock.Text = JsonConvert.SerializeObject(jsonResult, Formatting.Indented);
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Failure analyzing text");
}
finally
{
this.progressControl.IsActive = false;
}
}
private async Task AnalyzeTextAsync()
{
try
{
this.progressControl.IsActive = true;
DisplayProcessingUI();
// detect language
string input = this.inputText.Text;
DetectedLanguage detectedLanguage = await TextAnalyticsHelper.DetectLanguageAsync(input);
string languageCode = TextAnalyticsHelper.GetLanguageCode(detectedLanguage);
// check supported languages
bool isOpinionMiningSupported = TextAnalyticsHelper.OpinionMiningSupportedLanguages.Any(l => string.Equals(l, languageCode, StringComparison.OrdinalIgnoreCase));
bool isSentimentSupported = TextAnalyticsHelper.SentimentAnalysisSupportedLanguages.Any(l => string.Equals(l, languageCode, StringComparison.OrdinalIgnoreCase));
bool isKeyPhraseSupported = TextAnalyticsHelper.KeyPhraseExtractionSupportedLanguages.Any(l => string.Equals(l, languageCode, StringComparison.OrdinalIgnoreCase));
bool isNamedEntitySupported = TextAnalyticsHelper.NamedEntitySupportedLanguages.Any(l => string.Equals(l, languageCode, StringComparison.OrdinalIgnoreCase));
bool isEntityLinkingSupported = TextAnalyticsHelper.EntityLinkingSupportedLanguages.Any(l => string.Equals(l, languageCode, StringComparison.OrdinalIgnoreCase));
// sentiment analysis, key phrase extraction, named entity recognition and entity linking
Task <DocumentSentiment> documentSentimentTask = isSentimentSupported ? TextAnalyticsHelper.AnalyzeSentimentAsync(input, languageCode, isOpinionMiningSupported) : Task.FromResult <DocumentSentiment>(null);
Task <KeyPhraseCollection> detectedKeyPhrasesTask = isKeyPhraseSupported ? TextAnalyticsHelper.ExtractKeyPhrasesAsync(input, languageCode) : Task.FromResult <KeyPhraseCollection>(null);
Task <CategorizedEntityCollection> namedEntitiesResponseTask = isNamedEntitySupported ? TextAnalyticsHelper.RecognizeEntitiesAsync(input, languageCode) : Task.FromResult <CategorizedEntityCollection>(null);
Task <LinkedEntityCollection> linkedEntitiesResponseTask = isEntityLinkingSupported ? TextAnalyticsHelper.RecognizeLinkedEntitiesAsync(input, languageCode) : Task.FromResult <LinkedEntityCollection>(null);
await Task.WhenAll(documentSentimentTask, detectedKeyPhrasesTask, namedEntitiesResponseTask, linkedEntitiesResponseTask);
DocumentSentiment documentSentiment = documentSentimentTask.Result;
KeyPhraseCollection detectedKeyPhrases = detectedKeyPhrasesTask.Result;
CategorizedEntityCollection namedEntitiesResponse = namedEntitiesResponseTask.Result;
LinkedEntityCollection linkedEntitiesResponse = linkedEntitiesResponseTask.Result;
// display results
this.detectedLangTextBlock.Text = !string.IsNullOrEmpty(detectedLanguage.Name) ? $"{detectedLanguage.Name} (confidence: {(int)(detectedLanguage.ConfidenceScore * 100)}%)" : NotFound;
this.detectedKeyPhrasesTextBlock.Text = detectedKeyPhrases != null && detectedKeyPhrases.Any()
? string.Join(", ", detectedKeyPhrases)
: isKeyPhraseSupported?NotFound : LanguageNotSupported;
this.namesEntitiesGridView.ItemsSource = namedEntitiesResponse != null && namedEntitiesResponse.Any()
? namedEntitiesResponse.Select(x => new { x.Text, Category = $"[{x.Category}]" })
: new[] { new { Text = isNamedEntitySupported ? "No entities" : LanguageNotSupported, Category = "" } };
this.linkedEntitiesGridView.ItemsSource = linkedEntitiesResponse != null && linkedEntitiesResponse.Any()
? linkedEntitiesResponse.Select(x => new { Name = $"{x.Name} ({x.DataSource})", x.Url })
: new[] {
isEntityLinkingSupported
? new { Name = "No linked entities", Url = new Uri("about:blank") }
: new { Name = LanguageNotSupported, Url = TextAnalyticsHelper.LanguageSupportUri }
};
if (isSentimentSupported)
{
CreateSentimentChart(documentSentiment);
// mined opinions
OpinionMiningCollection.Clear();
var minedOpinions = documentSentiment?.Sentences.SelectMany(s => s.MinedOpinions);
if (minedOpinions != null && minedOpinions.Any())
{
var minedOpinionList = minedOpinions.Select(om => new MinedOpinion()
{
Aspect = om.Aspect.Text,
Opinions = string.Join(", ", om.Opinions.Select(o => $"{o.Text} ({o.Sentiment.ToString("G")})"))
});
OpinionMiningCollection.AddRange(minedOpinionList);
}
}
else
{
this.sentimentTextBlock.Text = LanguageNotSupported;
this.sentimentChart.Visibility = Visibility.Collapsed;
}
// prepare json result
var jsonResult = new
{
LanguageDetection = detectedLanguage,
KeyPhrases = detectedKeyPhrases,
Sentiment = documentSentiment,
Entities = namedEntitiesResponse,
EntityLinking = linkedEntitiesResponse
};
this.jsonResultTextBlock.Text = JsonConvert.SerializeObject(jsonResult, Formatting.Indented);
}
catch (Exception ex)
{
await Util.GenericApiCallExceptionHandler(ex, "Failure analyzing text");
}
finally
{
this.progressControl.IsActive = false;
}
}