PTI.Microservices.Library.AzureTextAnalytics 7.0.0.1

PTI.Microservices.Library.AzureTextAnalytics

This is part of PTI.Microservices.Library set of packages

The purpose of this package is to facilitate the calls to Azure Text Analytics APIs, while maintaining a consistent usage pattern among the different services in the group

Examples:

Get Key Phrases

AzureTextAnalyticsService azureTextAnalyticsService =
    new AzureTextAnalyticsService(null, this.AzureTextAnalyticsConfiguration,
    new Microservices.Library.Interceptors.CustomHttpClient(
        new Microservices.Library.Interceptors.CustomHttpClientHandler(this.Logger_CustomHttpClientHandler)));
GetKeyPhrasesRequest model = new GetKeyPhrasesRequest()
{
    documents = new GetKeyPhrasesRequestDocument[] {
        new GetKeyPhrasesRequestDocument(){ id=Guid.NewGuid().ToString(), language="en", text="This is a sample text" },
        new GetKeyPhrasesRequestDocument(){ id=Guid.NewGuid().ToString(), language="es", text="Lo mejor del libro El Poder del Amor, es que es un libro creado en Costa Rica" },
    }
};
var result = await azureTextAnalyticsService.GetKeyPhrasesAsync(model);

Get Sentiment

AzureTextAnalyticsService azureTextAnalyticsService =
    new AzureTextAnalyticsService(null, this.AzureTextAnalyticsConfiguration,
    new Microservices.Library.Interceptors.CustomHttpClient(
        new Microservices.Library.Interceptors.CustomHttpClientHandler(null)));
GetSentimentRequest model = new GetSentimentRequest()
{
    documents = new GetSentimentRequestDocument[]
    {
        new GetSentimentRequestDocument()
        {
            id=Guid.NewGuid().ToString(), language="en", 
            text="This is a sample text create in order to analyze the sentiment of this paragraph." +
            "This is a second paragraph in order to test multiple sentences opinion mining"
        },
        new GetSentimentRequestDocument()
        {
            id=Guid.NewGuid().ToString(), language="es",text="La vida es bella, tan bella que quisiera vivir para siempre"
        },
        new GetSentimentRequestDocument()
        {
            id=Guid.NewGuid().ToString(), language="en",text="This is a multi-sentence text in order to check how the API splits it." +
            " There are many items that would be too long"
        }
    }
};
var result = await azureTextAnalyticsService.GetSentimentAsync(model);

Detect Language

AzureTextAnalyticsService azureTextAnalyticsService =
                new AzureTextAnalyticsService(null, this.AzureTextAnalyticsConfiguration,
                new Microservices.Library.Interceptors.CustomHttpClient(
                    new Microservices.Library.Interceptors.CustomHttpClientHandler(null)));
var result = 
    await azureTextAnalyticsService.DetectLanguageAsync(
    new Microservices.Library.AzureTextAnalytics.Models.DetectLanguage.DetectLanguageRequest()
    {
        documents = new Microservices.Library.AzureTextAnalytics.Models.DetectLanguage.DetectLanguageRequestDocument[]
        {
            new Microservices.Library.AzureTextAnalytics.Models.DetectLanguage.DetectLanguageRequestDocument()
            {
                countryHint="CR",
                id="1",
                text="Esto es una prueba"
            }
        }
    });
Assert.IsNotNull(result);
var firstItem = result.documents[0];
Assert.IsTrue(firstItem.detectedLanguage.iso6391Name == "es");