TextAnalysisClient.AnalyzeText Method
Definition
Important
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Overloads
AnalyzeText(AnalyzeTextInput, Nullable<Boolean>, CancellationToken) |
Request text analysis over a collection of documents. |
AnalyzeText(RequestContent, Nullable<Boolean>, RequestContext) |
[Protocol Method] Request text analysis over a collection of documents.
|
AnalyzeText(AnalyzeTextInput, Nullable<Boolean>, CancellationToken)
- Source:
- TextAnalysisClient.cs
Request text analysis over a collection of documents.
public virtual Azure.Response<Azure.AI.Language.Text.AnalyzeTextResult> AnalyzeText (Azure.AI.Language.Text.AnalyzeTextInput analyzeTextInput, bool? showStatistics = default, System.Threading.CancellationToken cancellationToken = default);
abstract member AnalyzeText : Azure.AI.Language.Text.AnalyzeTextInput * Nullable<bool> * System.Threading.CancellationToken -> Azure.Response<Azure.AI.Language.Text.AnalyzeTextResult>
override this.AnalyzeText : Azure.AI.Language.Text.AnalyzeTextInput * Nullable<bool> * System.Threading.CancellationToken -> Azure.Response<Azure.AI.Language.Text.AnalyzeTextResult>
Public Overridable Function AnalyzeText (analyzeTextInput As AnalyzeTextInput, Optional showStatistics As Nullable(Of Boolean) = Nothing, Optional cancellationToken As CancellationToken = Nothing) As Response(Of AnalyzeTextResult)
Parameters
- analyzeTextInput
- AnalyzeTextInput
The input documents to analyze.
(Optional) if set to true, response will contain request and document level statistics.
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Exceptions
analyzeTextInput
is null.
Examples
This sample shows how to call AnalyzeText.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
TextAnalysisClient client = new TextAnalysisClient(endpoint, credential);
AnalyzeTextInput analyzeTextInput = new TextDynamicClassificationInput();
Response<AnalyzeTextResult> response = client.AnalyzeText(analyzeTextInput);
This sample shows how to call AnalyzeText with all parameters.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
TextAnalysisClient client = new TextAnalysisClient(endpoint, credential);
AnalyzeTextInput analyzeTextInput = new TextDynamicClassificationInput
{
TextInput = new MultiLanguageTextInput
{
MultiLanguageInputs = {new MultiLanguageInput("<id>", "<text>")
{
Language = "<language>",
}},
},
ActionContent = new DynamicClassificationActionContent(new string[] { "<categories>" })
{
LoggingOptOut = true,
ModelVersion = "<modelVersion>",
ClassificationType = ClassificationType.Multi,
},
};
Response<AnalyzeTextResult> response = client.AnalyzeText(analyzeTextInput, showStatistics: true);
Applies to
AnalyzeText(RequestContent, Nullable<Boolean>, RequestContext)
- Source:
- TextAnalysisClient.cs
[Protocol Method] Request text analysis over a collection of documents.
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler AnalyzeText(AnalyzeTextInput, Nullable<Boolean>, CancellationToken) convenience overload with strongly typed models first.
public virtual Azure.Response AnalyzeText (Azure.Core.RequestContent content, bool? showStatistics = default, Azure.RequestContext context = default);
abstract member AnalyzeText : Azure.Core.RequestContent * Nullable<bool> * Azure.RequestContext -> Azure.Response
override this.AnalyzeText : Azure.Core.RequestContent * Nullable<bool> * Azure.RequestContext -> Azure.Response
Public Overridable Function AnalyzeText (content As RequestContent, Optional showStatistics As Nullable(Of Boolean) = Nothing, Optional context As RequestContext = Nothing) As Response
Parameters
- content
- RequestContent
The content to send as the body of the request.
(Optional) if set to true, response will contain request and document level statistics.
- context
- RequestContext
The request context, which can override default behaviors of the client pipeline on a per-call basis.
Returns
The response returned from the service.
Exceptions
content
is null.
Service returned a non-success status code.
Examples
This sample shows how to call AnalyzeText and parse the result.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
TextAnalysisClient client = new TextAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
kind = "DynamicClassification",
});
Response response = client.AnalyzeText(content);
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("kind").ToString());
This sample shows how to call AnalyzeText with all parameters and request content and parse the result.
Uri endpoint = new Uri("<https://my-service.azure.com>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
TextAnalysisClient client = new TextAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
kind = "DynamicClassification",
analysisInput = new
{
documents = new object[]
{
new
{
id = "<id>",
text = "<text>",
language = "<language>",
}
},
},
parameters = new
{
loggingOptOut = true,
modelVersion = "<modelVersion>",
classificationType = "Multi",
categories = new object[]
{
"<categories>"
},
},
});
Response response = client.AnalyzeText(content, showStatistics: true);
JsonElement result = JsonDocument.Parse(response.ContentStream).RootElement;
Console.WriteLine(result.GetProperty("kind").ToString());