ConversationAnalysisClient.AnalyzeConversationSubmitOperationAsync Method
Definition
Important
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Overloads
| AnalyzeConversationSubmitOperationAsync(WaitUntil, AnalyzeConversationOperationInput, CancellationToken) |
Analyzes the input conversation utterance. |
| AnalyzeConversationSubmitOperationAsync(WaitUntil, RequestContent, RequestContext) |
[Protocol Method] Analyzes the input conversation utterance.
|
AnalyzeConversationSubmitOperationAsync(WaitUntil, AnalyzeConversationOperationInput, CancellationToken)
Analyzes the input conversation utterance.
public virtual System.Threading.Tasks.Task<Azure.Operation> AnalyzeConversationSubmitOperationAsync (Azure.WaitUntil waitUntil, Azure.AI.Language.Conversations.Models.AnalyzeConversationOperationInput analyzeConversationOperationInput, System.Threading.CancellationToken cancellationToken = default);abstract member AnalyzeConversationSubmitOperationAsync : Azure.WaitUntil * Azure.AI.Language.Conversations.Models.AnalyzeConversationOperationInput * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.Operation>
override this.AnalyzeConversationSubmitOperationAsync : Azure.WaitUntil * Azure.AI.Language.Conversations.Models.AnalyzeConversationOperationInput * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.Operation>Public Overridable Function AnalyzeConversationSubmitOperationAsync (waitUntil As WaitUntil, analyzeConversationOperationInput As AnalyzeConversationOperationInput, Optional cancellationToken As CancellationToken = Nothing) As Task(Of Operation)Parameters
- waitUntil
- WaitUntil
Completed if the method should wait to return until the long-running operation has completed on the service; Started if it should return after starting the operation. For more information on long-running operations, please see Azure.Core Long-Running Operation samples.
- analyzeConversationOperationInput
- AnalyzeConversationOperationInput
The input for the analyze conversations operation.
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Exceptions
analyzeConversationOperationInput is null.
Examples
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"1",
"good morning john doe",
"good morning john doe",
"Good morning John Doe.",
"good morning john doe")
{
WordLevelTimings = {new WordLevelTiming
{
Offset = 390000L,
Duration = 2700000L,
Word = "good",
}, new WordLevelTiming
{
Offset = 4500000L,
Duration = 920000L,
Word = "morning",
}, new WordLevelTiming
{
Offset = 590000L,
Duration = 2700000L,
Word = "john",
}, new WordLevelTiming
{
Offset = 6300000L,
Duration = 920000L,
Word = "doe",
}},
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new PiiOperationAction
{
ActionContent = new ConversationPiiActionContent
{
ModelVersion = "latest",
PiiCategories = {ConversationPiiCategories.All},
RedactAudioTiming = true,
RedactionSource = TranscriptContentType.Lexical,
RedactionPolicy = new CharacterMaskPolicyType
{
RedactionCharacter = RedactionCharacter.Minus,
},
},
Name = "Conversation PII",
}
})
{
DisplayName = "Redacting PII data from transcribed audio",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"1",
"good morning john doe",
"good morning john doe",
"Good morning John Doe.",
"good morning john doe")
{
WordLevelTimings = {new WordLevelTiming
{
Offset = 390000L,
Duration = 2700000L,
Word = "good",
}, new WordLevelTiming
{
Offset = 4500000L,
Duration = 920000L,
Word = "morning",
}, new WordLevelTiming
{
Offset = 590000L,
Duration = 2700000L,
Word = "john",
}, new WordLevelTiming
{
Offset = 6300000L,
Duration = 920000L,
Word = "doe",
}},
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new PiiOperationAction
{
ActionContent = new ConversationPiiActionContent
{
ModelVersion = "latest",
PiiCategories = {ConversationPiiCategories.All},
RedactAudioTiming = true,
RedactionSource = TranscriptContentType.Lexical,
RedactionPolicy = new EntityMaskTypePolicyType(),
},
Name = "Conversation PII",
}
})
{
DisplayName = "Redacting PII data from transcribed audio",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"1",
"good morning john doe",
"good morning john doe",
"Good morning John Doe.",
"good morning john doe")
{
WordLevelTimings = {new WordLevelTiming
{
Offset = 390000L,
Duration = 2700000L,
Word = "good",
}, new WordLevelTiming
{
Offset = 4500000L,
Duration = 920000L,
Word = "morning",
}, new WordLevelTiming
{
Offset = 590000L,
Duration = 2700000L,
Word = "john",
}, new WordLevelTiming
{
Offset = 6300000L,
Duration = 920000L,
Word = "doe",
}},
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new PiiOperationAction
{
ActionContent = new ConversationPiiActionContent
{
ModelVersion = "latest",
RedactAudioTiming = true,
RedactionSource = TranscriptContentType.Lexical,
ExcludePiiCategories = {ConversationPiiCategoryExclusions.Person},
},
Name = "Conversation PII",
}
})
{
DisplayName = "Redacting PII data from transcribed audio",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"1",
"good morning john doe",
"good morning john doe",
"Good morning John Doe.",
"good morning john doe")
{
WordLevelTimings = {new WordLevelTiming
{
Offset = 390000L,
Duration = 2700000L,
Word = "good",
}, new WordLevelTiming
{
Offset = 4500000L,
Duration = 920000L,
Word = "morning",
}, new WordLevelTiming
{
Offset = 590000L,
Duration = 2700000L,
Word = "john",
}, new WordLevelTiming
{
Offset = 6300000L,
Duration = 920000L,
Word = "doe",
}},
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new PiiOperationAction
{
ActionContent = new ConversationPiiActionContent
{
ModelVersion = "latest",
PiiCategories = {ConversationPiiCategories.All},
RedactAudioTiming = true,
RedactionSource = TranscriptContentType.Lexical,
RedactionPolicy = new NoMaskPolicyType(),
},
Name = "Conversation PII",
}
})
{
DisplayName = "Redacting PII data from transcribed audio",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"1",
"good morning john doe",
"good morning john doe",
"Good morning John Doe.",
"good morning john doe")
{
WordLevelTimings = {new WordLevelTiming
{
Offset = 390000L,
Duration = 2700000L,
Word = "good",
}, new WordLevelTiming
{
Offset = 4500000L,
Duration = 920000L,
Word = "morning",
}, new WordLevelTiming
{
Offset = 590000L,
Duration = 2700000L,
Word = "john",
}, new WordLevelTiming
{
Offset = 6300000L,
Duration = 920000L,
Word = "doe",
}},
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new PiiOperationAction
{
ActionContent = new ConversationPiiActionContent
{
ModelVersion = "latest",
PiiCategories = {ConversationPiiCategories.All},
RedactAudioTiming = true,
RedactionSource = TranscriptContentType.Lexical,
RedactionCharacter = RedactionCharacter.Minus,
},
Name = "Conversation PII",
}
})
{
DisplayName = "Redacting PII data from transcribed audio",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"1",
"good morning john doe",
"good morning john doe",
"Good morning John Doe.",
"good morning john doe")
{
WordLevelTimings = {new WordLevelTiming
{
Offset = 390000L,
Duration = 2700000L,
Word = "good",
}, new WordLevelTiming
{
Offset = 4500000L,
Duration = 920000L,
Word = "morning",
}, new WordLevelTiming
{
Offset = 590000L,
Duration = 2700000L,
Word = "john",
}, new WordLevelTiming
{
Offset = 6300000L,
Duration = 920000L,
Word = "doe",
}},
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new PiiOperationAction
{
ActionContent = new ConversationPiiActionContent
{
ModelVersion = "latest",
PiiCategories = {ConversationPiiCategories.All},
RedactAudioTiming = true,
RedactionSource = TranscriptContentType.Lexical,
},
Name = "Conversation PII",
}
})
{
DisplayName = "Redacting PII data from transcribed audio",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"speaker 1",
"",
"",
"Let's get started.",
"")
{
ConversationItemLevelTiming = new ConversationItemLevelTiming
{
Offset = 0L,
Duration = 20000000L,
},
},
new TranscriptConversationItem(
"2",
"speaker 2",
"",
"",
"OK. How many remaining bugs do we have now?",
"")
{
ConversationItemLevelTiming = new ConversationItemLevelTiming
{
Offset = 20000000L,
Duration = 50000000L,
},
},
new TranscriptConversationItem(
"3",
"speaker 3",
"",
"",
"Only 3.",
"")
{
ConversationItemLevelTiming = new ConversationItemLevelTiming
{
Offset = 50000000L,
Duration = 60000000L,
},
}
})
}), new AnalyzeConversationOperationAction[]
{
new SummarizationOperationAction
{
ActionContent = new ConversationSummarizationActionContent(new SummaryAspect[]{SummaryAspect.ChapterTitle, SummaryAspect.Narrative}),
Name = "Conversation Summarization Task 1",
}
})
{
DisplayName = "Conversation Summarization Example",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TextConversation("20220101meeting", "en", new TextConversationItem[]
{
new TextConversationItem("1", "user", "Hi!")
{
Role = ParticipantRole.Customer,
},
new TextConversationItem("2", "agent", "Hello, how can I help you?")
{
Role = ParticipantRole.Agent,
},
new TextConversationItem("3", "user", "I am having trouble issuing a return of a game on my xbox: call of duty")
{
Role = ParticipantRole.Customer,
}
})
{
Domain = ConversationDomain.Generic,
}
}), new AnalyzeConversationOperationAction[]
{
new SummarizationOperationAction
{
ActionContent = new ConversationSummarizationActionContent(new SummaryAspect[]{SummaryAspect.Issue, SummaryAspect.Resolution})
{
ModelVersion = "latest",
},
Name = "analyze 1",
}
})
{
DisplayName = "Analyze conversations from Contoso meeting",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
AnalyzeConversationOperationInput analyzeConversationOperationInput = new AnalyzeConversationOperationInput(new MultiLanguageConversationInput(new ConversationInput[]
{
new TranscriptConversation("1", "en", new TranscriptConversationItem[]
{
new TranscriptConversationItem(
"1",
"speaker 1",
"",
"",
"Let's get started.",
"")
{
ConversationItemLevelTiming = new ConversationItemLevelTiming
{
Offset = 0L,
Duration = 20000000L,
},
},
new TranscriptConversationItem(
"2",
"speaker 2",
"",
"",
"OK. How many remaining bugs do we have now?",
"")
{
ConversationItemLevelTiming = new ConversationItemLevelTiming
{
Offset = 20000000L,
Duration = 50000000L,
},
},
new TranscriptConversationItem(
"3",
"speaker 3",
"",
"",
"Only 3.",
"")
{
ConversationItemLevelTiming = new ConversationItemLevelTiming
{
Offset = 50000000L,
Duration = 60000000L,
},
}
})
}), new AnalyzeConversationOperationAction[]
{
new CustomSummarizationOperationAction
{
ActionContent = new CustomConversationSummarizationActionContent("my_project", "my_deployment", new SummaryAspect[]{SummaryAspect.Narrative}),
Name = "Custom Conversation Summarization Task 1",
}
})
{
DisplayName = "Custom Conversation Summarization Example",
};
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, analyzeConversationOperationInput);
Applies to
AnalyzeConversationSubmitOperationAsync(WaitUntil, RequestContent, RequestContext)
[Protocol Method] Analyzes the input conversation utterance.
- This protocol method allows explicit creation of the request and processing of the response for advanced scenarios.
- Please try the simpler AnalyzeConversationSubmitOperationAsync(WaitUntil, AnalyzeConversationOperationInput, CancellationToken) convenience overload with strongly typed models first.
public virtual System.Threading.Tasks.Task<Azure.Operation> AnalyzeConversationSubmitOperationAsync (Azure.WaitUntil waitUntil, Azure.Core.RequestContent content, Azure.RequestContext context = default);abstract member AnalyzeConversationSubmitOperationAsync : Azure.WaitUntil * Azure.Core.RequestContent * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Operation>
override this.AnalyzeConversationSubmitOperationAsync : Azure.WaitUntil * Azure.Core.RequestContent * Azure.RequestContext -> System.Threading.Tasks.Task<Azure.Operation>Public Overridable Function AnalyzeConversationSubmitOperationAsync (waitUntil As WaitUntil, content As RequestContent, Optional context As RequestContext = Nothing) As Task(Of Operation)Parameters
- waitUntil
- WaitUntil
Completed if the method should wait to return until the long-running operation has completed on the service; Started if it should return after starting the operation. For more information on long-running operations, please see Azure.Core Long-Running Operation samples.
- content
- RequestContent
The content to send as the body of the request.
- context
- RequestContext
The request context, which can override default behaviors of the client pipeline on a per-call basis.
Returns
The Operation representing an asynchronous operation on the service.
Exceptions
content is null.
Service returned a non-success status code.
Examples
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Redacting PII data from transcribed audio",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "1",
id = "1",
text = "Good morning John Doe.",
itn = "good morning john doe",
maskedItn = "good morning john doe",
lexical = "good morning john doe",
wordLevelTimings = new object[]
{
new
{
word = "good",
offset = 390000L,
duration = 2700000L,
},
new
{
word = "morning",
offset = 4500000L,
duration = 920000L,
},
new
{
word = "john",
offset = 590000L,
duration = 2700000L,
},
new
{
word = "doe",
offset = 6300000L,
duration = 920000L,
}
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation PII",
kind = "ConversationalPIITask",
parameters = new
{
modelVersion = "latest",
piiCategories = new object[]
{
"All"
},
redactionPolicy = new
{
policyKind = "characterMask",
redactionCharacter = "-",
},
redactionSource = "lexical",
redactAudioTiming = true,
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Redacting PII data from transcribed audio",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "1",
id = "1",
text = "Good morning John Doe.",
itn = "good morning john doe",
maskedItn = "good morning john doe",
lexical = "good morning john doe",
wordLevelTimings = new object[]
{
new
{
word = "good",
offset = 390000L,
duration = 2700000L,
},
new
{
word = "morning",
offset = 4500000L,
duration = 920000L,
},
new
{
word = "john",
offset = 590000L,
duration = 2700000L,
},
new
{
word = "doe",
offset = 6300000L,
duration = 920000L,
}
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation PII",
kind = "ConversationalPIITask",
parameters = new
{
modelVersion = "latest",
piiCategories = new object[]
{
"All"
},
redactionPolicy = new
{
policyKind = "entityMask",
},
redactionSource = "lexical",
redactAudioTiming = true,
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Redacting PII data from transcribed audio",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "1",
id = "1",
text = "Good morning John Doe.",
itn = "good morning john doe",
maskedItn = "good morning john doe",
lexical = "good morning john doe",
wordLevelTimings = new object[]
{
new
{
word = "good",
offset = 390000L,
duration = 2700000L,
},
new
{
word = "morning",
offset = 4500000L,
duration = 920000L,
},
new
{
word = "john",
offset = 590000L,
duration = 2700000L,
},
new
{
word = "doe",
offset = 6300000L,
duration = 920000L,
}
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation PII",
kind = "ConversationalPIITask",
parameters = new
{
modelVersion = "latest",
excludePiiCategories = new object[]
{
"Person"
},
redactionSource = "lexical",
redactAudioTiming = true,
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Redacting PII data from transcribed audio",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "1",
id = "1",
text = "Good morning John Doe.",
itn = "good morning john doe",
maskedItn = "good morning john doe",
lexical = "good morning john doe",
wordLevelTimings = new object[]
{
new
{
word = "good",
offset = 390000L,
duration = 2700000L,
},
new
{
word = "morning",
offset = 4500000L,
duration = 920000L,
},
new
{
word = "john",
offset = 590000L,
duration = 2700000L,
},
new
{
word = "doe",
offset = 6300000L,
duration = 920000L,
}
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation PII",
kind = "ConversationalPIITask",
parameters = new
{
modelVersion = "latest",
piiCategories = new object[]
{
"All"
},
redactionPolicy = new
{
policyKind = "noMask",
},
redactionSource = "lexical",
redactAudioTiming = true,
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Redacting PII data from transcribed audio",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "1",
id = "1",
text = "Good morning John Doe.",
itn = "good morning john doe",
maskedItn = "good morning john doe",
lexical = "good morning john doe",
wordLevelTimings = new object[]
{
new
{
word = "good",
offset = 390000L,
duration = 2700000L,
},
new
{
word = "morning",
offset = 4500000L,
duration = 920000L,
},
new
{
word = "john",
offset = 590000L,
duration = 2700000L,
},
new
{
word = "doe",
offset = 6300000L,
duration = 920000L,
}
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation PII",
kind = "ConversationalPIITask",
parameters = new
{
modelVersion = "latest",
piiCategories = new object[]
{
"All"
},
redactionCharacter = "-",
redactionSource = "lexical",
redactAudioTiming = true,
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Redacting PII data from transcribed audio",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "1",
id = "1",
text = "Good morning John Doe.",
itn = "good morning john doe",
maskedItn = "good morning john doe",
lexical = "good morning john doe",
wordLevelTimings = new object[]
{
new
{
word = "good",
offset = 390000L,
duration = 2700000L,
},
new
{
word = "morning",
offset = 4500000L,
duration = 920000L,
},
new
{
word = "john",
offset = 590000L,
duration = 2700000L,
},
new
{
word = "doe",
offset = 6300000L,
duration = 920000L,
}
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation PII",
kind = "ConversationalPIITask",
parameters = new
{
modelVersion = "latest",
piiCategories = new object[]
{
"All"
},
redactionSource = "lexical",
redactAudioTiming = true,
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Conversation Summarization Example",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
conversationItems = new object[]
{
new
{
participantId = "speaker 1",
id = "1",
text = "Let's get started.",
lexical = "",
itn = "",
maskedItn = "",
conversationItemLevelTiming = new
{
offset = 0L,
duration = 20000000L,
},
},
new
{
participantId = "speaker 2",
id = "2",
text = "OK. How many remaining bugs do we have now?",
lexical = "",
itn = "",
maskedItn = "",
conversationItemLevelTiming = new
{
offset = 20000000L,
duration = 50000000L,
},
},
new
{
participantId = "speaker 3",
id = "3",
text = "Only 3.",
lexical = "",
itn = "",
maskedItn = "",
conversationItemLevelTiming = new
{
offset = 50000000L,
duration = 60000000L,
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Conversation Summarization Task 1",
kind = "ConversationalSummarizationTask",
parameters = new
{
summaryAspects = new object[]
{
"chapterTitle",
"narrative"
},
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Analyze conversations from Contoso meeting",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "20220101meeting",
language = "en",
modality = "text",
domain = "generic",
conversationItems = new object[]
{
new
{
participantId = "user",
role = "customer",
id = "1",
text = "Hi!",
},
new
{
participantId = "agent",
role = "agent",
id = "2",
text = "Hello, how can I help you?",
},
new
{
participantId = "user",
role = "customer",
id = "3",
text = "I am having trouble issuing a return of a game on my xbox: call of duty",
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "analyze 1",
kind = "ConversationalSummarizationTask",
parameters = new
{
modelVersion = "latest",
summaryAspects = new object[]
{
"issue",
"resolution"
},
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
This sample shows how to call AnalyzeConversationSubmitOperationAsync.
Uri endpoint = new Uri("<endpoint>");
AzureKeyCredential credential = new AzureKeyCredential("<key>");
ConversationAnalysisClient client = new ConversationAnalysisClient(endpoint, credential);
using RequestContent content = RequestContent.Create(new
{
displayName = "Custom Conversation Summarization Example",
analysisInput = new
{
conversations = new object[]
{
new
{
id = "1",
language = "en",
modality = "transcript",
conversationItems = new object[]
{
new
{
participantId = "speaker 1",
id = "1",
text = "Let's get started.",
lexical = "",
itn = "",
maskedItn = "",
conversationItemLevelTiming = new
{
offset = 0L,
duration = 20000000L,
},
},
new
{
participantId = "speaker 2",
id = "2",
text = "OK. How many remaining bugs do we have now?",
lexical = "",
itn = "",
maskedItn = "",
conversationItemLevelTiming = new
{
offset = 20000000L,
duration = 50000000L,
},
},
new
{
participantId = "speaker 3",
id = "3",
text = "Only 3.",
lexical = "",
itn = "",
maskedItn = "",
conversationItemLevelTiming = new
{
offset = 50000000L,
duration = 60000000L,
},
}
},
}
},
},
tasks = new object[]
{
new
{
taskName = "Custom Conversation Summarization Task 1",
kind = "CustomConversationalSummarizationTask",
parameters = new
{
summaryAspects = new object[]
{
"narrative"
},
projectName = "my_project",
deploymentName = "my_deployment",
},
}
},
});
Operation operation = await client.AnalyzeConversationSubmitOperationAsync(WaitUntil.Completed, content);
Applies to
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Azure SDK for .NET