/// <summary>
/// The API returns a numeric score between 0 and 1.
/// Scores close to 1 indicate positive sentiment, while
/// scores close to 0 indicate negative sentiment.
/// Sentiment score is generated using classification
/// techniques.
/// The input features to the classifier include n-grams,
/// features generated from part-of-speech tags, and word embeddings.
/// Currently, the following languages are supported:
/// English, Spanish, French, Portuguese.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='multiLanguageBatchInputV2'>
/// Optional.
/// </param>
public static object Sentiment(this ICustomerFinderCognitiveServicesClient operations, MultiLanguageBatchInputV2 multiLanguageBatchInputV2 = null)
{
return(Task.Factory.StartNew((object s) =>
{
return ((ICustomerFinderCognitiveServicesClient)s).SentimentAsync(multiLanguageBatchInputV2);
}
, operations, CancellationToken.None, TaskCreationOptions.None, TaskScheduler.Default).Unwrap().GetAwaiter().GetResult());
}
/// <summary>
/// The API returns the detected language and a numeric score between 0
/// and 1.
/// Scores close to 1 indicate 100% certainty that the
/// identified language is true.
/// A total of 120 languages are supported.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='numberOfLanguagesToDetect'>
/// Optional. Format - int32. (Optional) Number of languages to detect.
/// Set to 1 by default.
/// </param>
/// <param name='batchInputV2'>
/// Optional.
/// </param>
public static object DetectLanguage(this ICustomerFinderCognitiveServicesClient operations, int?numberOfLanguagesToDetect = null, BatchInputV2 batchInputV2 = null)
{
return(Task.Factory.StartNew((object s) =>
{
return ((ICustomerFinderCognitiveServicesClient)s).DetectLanguageAsync(numberOfLanguagesToDetect, batchInputV2);
}
, operations, CancellationToken.None, TaskCreationOptions.None, TaskScheduler.Default).Unwrap().GetAwaiter().GetResult());
}
/// <summary>
/// Get the status of an operation submitted for processing. If the the
/// operation has reached a 'Succeeded' state, will also return the
/// result.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='operationId'>
/// Required. A unique id for the submitted operation.
/// </param>
public static object OperationStatus(this ICustomerFinderCognitiveServicesClient operations, string operationId)
{
return(Task.Factory.StartNew((object s) =>
{
return ((ICustomerFinderCognitiveServicesClient)s).OperationStatusAsync(operationId);
}
, operations, CancellationToken.None, TaskCreationOptions.None, TaskScheduler.Default).Unwrap().GetAwaiter().GetResult());
}
/// <summary>
/// The API returns the top detected topics for a list of submitted
/// text documents.
/// A topic is identified with a key phrase, which can be
/// one or more related words.
/// Use the URL parameters and stop word list to control
/// which words or documents are filtered out.
/// You can also supply a list of topics to exclude from
/// the response.
/// At least 100 text documents must be submitted, however
/// it is designed to detect topics across hundreds to thousands of
/// documents.
/// Note that one transaction is charged per text document
/// submitted.
/// For best performance, limit each document to a short,
/// human written text paragraph such as review, conversation or user
/// feedback.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='minDocumentsPerWord'>
/// Optional. Format - int32. (optional) Words that occur in less than
/// this many documents are ignored.
/// Use this parameter to help exclude rare document
/// topics.
/// Omit to let the service choose appropriate value.
/// </param>
/// <param name='maxDocumentsPerWord'>
/// Optional. Format - int32. (optional) Words that occur in more than
/// this many documents are ignored.
/// Use this parameter to help exclude ubiquitous document
/// topics.
/// Omit to let the service choose appropriate value.
/// </param>
/// <param name='topicDetectionInputV2'>
/// Optional.
/// </param>
public static ErrorResponse DetectTopics(this ICustomerFinderCognitiveServicesClient operations, int?minDocumentsPerWord = null, int?maxDocumentsPerWord = null, TopicDetectionInputV2 topicDetectionInputV2 = null)
{
return(Task.Factory.StartNew((object s) =>
{
return ((ICustomerFinderCognitiveServicesClient)s).DetectTopicsAsync(minDocumentsPerWord, maxDocumentsPerWord, topicDetectionInputV2);
}
, operations, CancellationToken.None, TaskCreationOptions.None, TaskScheduler.Default).Unwrap().GetAwaiter().GetResult());
}
/// <summary>
/// The API returns the detected language and a numeric score between 0
/// and 1.
/// Scores close to 1 indicate 100% certainty that the
/// identified language is true.
/// A total of 120 languages are supported.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='numberOfLanguagesToDetect'>
/// Optional. Format - int32. (Optional) Number of languages to detect.
/// Set to 1 by default.
/// </param>
/// <param name='batchInputV2'>
/// Optional.
/// </param>
/// <param name='cancellationToken'>
/// Cancellation token.
/// </param>
public static async Task <object> DetectLanguageAsync(this ICustomerFinderCognitiveServicesClient operations, int?numberOfLanguagesToDetect = null, BatchInputV2 batchInputV2 = null, CancellationToken cancellationToken = default(System.Threading.CancellationToken))
{
Microsoft.Rest.HttpOperationResponse <object> result = await operations.DetectLanguageWithOperationResponseAsync(numberOfLanguagesToDetect, batchInputV2, cancellationToken).ConfigureAwait(false);
return(result.Body);
}
/// <summary>
/// The API returns a numeric score between 0 and 1.
/// Scores close to 1 indicate positive sentiment, while
/// scores close to 0 indicate negative sentiment.
/// Sentiment score is generated using classification
/// techniques.
/// The input features to the classifier include n-grams,
/// features generated from part-of-speech tags, and word embeddings.
/// Currently, the following languages are supported:
/// English, Spanish, French, Portuguese.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='multiLanguageBatchInputV2'>
/// Optional.
/// </param>
/// <param name='cancellationToken'>
/// Cancellation token.
/// </param>
public static async Task <object> SentimentAsync(this ICustomerFinderCognitiveServicesClient operations, MultiLanguageBatchInputV2 multiLanguageBatchInputV2 = null, CancellationToken cancellationToken = default(System.Threading.CancellationToken))
{
Microsoft.Rest.HttpOperationResponse <object> result = await operations.SentimentWithOperationResponseAsync(multiLanguageBatchInputV2, cancellationToken).ConfigureAwait(false);
return(result.Body);
}
/// <summary>
/// Get the status of an operation submitted for processing. If the the
/// operation has reached a 'Succeeded' state, will also return the
/// result.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='operationId'>
/// Required. A unique id for the submitted operation.
/// </param>
/// <param name='cancellationToken'>
/// Cancellation token.
/// </param>
public static async Task <object> OperationStatusAsync(this ICustomerFinderCognitiveServicesClient operations, string operationId, CancellationToken cancellationToken = default(System.Threading.CancellationToken))
{
Microsoft.Rest.HttpOperationResponse <object> result = await operations.OperationStatusWithOperationResponseAsync(operationId, cancellationToken).ConfigureAwait(false);
return(result.Body);
}
/// <summary>
/// The API returns the top detected topics for a list of submitted
/// text documents.
/// A topic is identified with a key phrase, which can be
/// one or more related words.
/// Use the URL parameters and stop word list to control
/// which words or documents are filtered out.
/// You can also supply a list of topics to exclude from
/// the response.
/// At least 100 text documents must be submitted, however
/// it is designed to detect topics across hundreds to thousands of
/// documents.
/// Note that one transaction is charged per text document
/// submitted.
/// For best performance, limit each document to a short,
/// human written text paragraph such as review, conversation or user
/// feedback.
/// </summary>
/// <param name='operations'>
/// Reference to the
/// CustomerFinderCognitiveServices.ICustomerFinderCognitiveServicesClient.
/// </param>
/// <param name='minDocumentsPerWord'>
/// Optional. Format - int32. (optional) Words that occur in less than
/// this many documents are ignored.
/// Use this parameter to help exclude rare document
/// topics.
/// Omit to let the service choose appropriate value.
/// </param>
/// <param name='maxDocumentsPerWord'>
/// Optional. Format - int32. (optional) Words that occur in more than
/// this many documents are ignored.
/// Use this parameter to help exclude ubiquitous document
/// topics.
/// Omit to let the service choose appropriate value.
/// </param>
/// <param name='topicDetectionInputV2'>
/// Optional.
/// </param>
/// <param name='cancellationToken'>
/// Cancellation token.
/// </param>
public static async Task <ErrorResponse> DetectTopicsAsync(this ICustomerFinderCognitiveServicesClient operations, int?minDocumentsPerWord = null, int?maxDocumentsPerWord = null, TopicDetectionInputV2 topicDetectionInputV2 = null, CancellationToken cancellationToken = default(System.Threading.CancellationToken))
{
Microsoft.Rest.HttpOperationResponse <CustomerFinderCognitiveServices.Models.ErrorResponse> result = await operations.DetectTopicsWithOperationResponseAsync(minDocumentsPerWord, maxDocumentsPerWord, topicDetectionInputV2, cancellationToken).ConfigureAwait(false);
return(result.Body);
}
