public async Task <SentimentBatchResult> RunSentimentAnalysisAsync(CidadaoModel cidadao)
{
var credentials = new ApiKeyServiceClientCredentials(key);
var client = new TextAnalyticsClient(credentials)
{
Endpoint = endpoint
};
// The documents to be analyzed. Add the language of the document. The ID can be any value.
var inputDocuments = new MultiLanguageBatchInput(
new List <MultiLanguageInput>
{
new MultiLanguageInput("1", cidadao.texto, "pt"),
});
var result = await client.SentimentBatchAsync(inputDocuments);
// Printing sentiment results
// Console.WriteLine("===== Sentiment Analysis =====\n");
//foreach (var document in result.Documents)
//{
// // Console.WriteLine($"Document ID: {document.Id} , Sentiment Score: {document.Score:0.00}");
//}
return(result);
}
public async Task RunRecognizeEntitiesAsync(CidadaoModel cidadao)
{
var credentials = new ApiKeyServiceClientCredentials(key);
var client = new TextAnalyticsClient(credentials)
{
Endpoint = endpoint
};
// The documents to be submitted for entity recognition. The ID can be any value.
var inputDocuments = new MultiLanguageBatchInput(
new List <MultiLanguageInput>
{
new MultiLanguageInput("1", cidadao.texto, "pt"),
});
var entitiesResult = await client.EntitiesBatchAsync(inputDocuments);
foreach (var document in entitiesResult.Documents)
{
foreach (var entity in document.Entities)
{
foreach (var match in entity.Matches)
{
// Console.WriteLine($"\t\t\tOffset: {match.Offset},\tLength: {match.Length},\tScore: {match.EntityTypeScore:F3}");
}
}
}
// Console.WriteLine();
}
public async Task RunKeyPhraseExtractionAsync(CidadaoModel cidadao)
{
var credentials = new ApiKeyServiceClientCredentials(key);
var client = new TextAnalyticsClient(credentials)
{
Endpoint = endpoint
};
var inputDocuments = new MultiLanguageBatchInput(
new List <MultiLanguageInput>
{
new MultiLanguageInput("1", "猫は幸せ", "ja"),
new MultiLanguageInput("2", "Fahrt nach Stuttgart und dann zum Hotel zu Fu.", "de"),
new MultiLanguageInput("3", "My cat might need to see a veterinarian.", "en"),
new MultiLanguageInput("4", "A mi me encanta el fútbol!", "es")
});
var kpResults = await client.KeyPhrasesBatchAsync(inputDocuments);
// Printing keyphrases
foreach (var document in kpResults.Documents)
{
foreach (string keyphrase in document.KeyPhrases)
{
}
}
}
public async Task RunLanguageDetectionAsync(CidadaoModel cidadao)
{
var credentials = new ApiKeyServiceClientCredentials(key);
var client = new TextAnalyticsClient(credentials)
{
Endpoint = endpoint
};
// The documents to be submitted for language detection. The ID can be any value.
var inputDocuments = new LanguageBatchInput(
new List <LanguageInput>
{
new LanguageInput("1", cidadao.texto),
});
var langResults = await client.DetectLanguageBatchAsync(inputDocuments);
// Printing detected languages
foreach (var document in langResults.Documents)
{
}
}
