public void RecognizeEntitiesBatchConvenience()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
// Instantiate a client that will be used to call the service.
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
var documents = new List <string>
{
"Microsoft was founded by Bill Gates and Paul Allen.",
"Text Analytics is one of the Azure Cognitive Services.",
"A key technology in Text Analytics is Named Entity Recognition (NER).",
};
#region Snippet:TextAnalyticsSample4RecognizeEntitiesConvenience
RecognizeEntitiesResultCollection results = client.RecognizeEntitiesBatch(documents);
#endregion
Debug.WriteLine($"Recognized entities for each document are:");
int i = 0;
foreach (RecognizeEntitiesResult result in results)
{
Debug.WriteLine($"For document: \"{documents[i++]}\",");
Debug.WriteLine($"the following {result.Entities.Count()} entities were found: ");
foreach (CategorizedEntity entity in result.Entities)
{
Debug.WriteLine($" Text: {entity.Text}, Category: {entity.Category}, SubCategory: {entity.SubCategory}, Confidence score: {entity.ConfidenceScore}");
}
}
}
public void RecognizeEntitiesBatchConvenience()
{
string endpoint = Environment.GetEnvironmentVariable("TEXT_ANALYTICS_ENDPOINT");
string apiKey = Environment.GetEnvironmentVariable("TEXT_ANALYTICS_API_KEY");
// Instantiate a client that will be used to call the service.
var client = new TextAnalyticsClient(new Uri(endpoint), new TextAnalyticsApiKeyCredential(apiKey));
var inputs = new List <string>
{
"Microsoft was founded by Bill Gates and Paul Allen.",
"Text Analytics is one of the Azure Cognitive Services.",
"A key technology in Text Analytics is Named Entity Recognition (NER).",
};
#region Snippet:TextAnalyticsSample4RecognizeEntitiesConvenience
RecognizeEntitiesResultCollection results = client.RecognizeEntitiesBatch(inputs);
#endregion
Debug.WriteLine($"Recognized entities for each input are:");
int i = 0;
foreach (RecognizeEntitiesResult result in results)
{
Debug.WriteLine($"For input: \"{inputs[i++]}\",");
Debug.WriteLine($"the following {result.Entities.Count()} entities were found: ");
foreach (CategorizedEntity entity in result.Entities)
{
Debug.WriteLine($" Text: {entity.Text}, Category: {entity.Category}, SubCategory: {entity.SubCategory}, Score: {entity.Score:0.00}, Offset: {entity.Offset}, Length: {entity.Length}");
}
}
}
public void RecognizeEntitiesBatch()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
// Instantiate a client that will be used to call the service.
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
#region Snippet:TextAnalyticsSample4RecognizeEntitiesBatch
var documents = new List <TextDocumentInput>
{
new TextDocumentInput("1", "Microsoft was founded by Bill Gates and Paul Allen.")
{
Language = "en",
},
new TextDocumentInput("2", "Text Analytics is one of the Azure Cognitive Services.")
{
Language = "en",
},
new TextDocumentInput("3", "A key technology in Text Analytics is Named Entity Recognition (NER).")
{
Language = "en",
}
};
RecognizeEntitiesResultCollection results = client.RecognizeEntitiesBatch(documents, new TextAnalyticsRequestOptions {
IncludeStatistics = true
});
#endregion
int i = 0;
Debug.WriteLine($"Results of Azure Text Analytics \"Named Entity Recognition\" Model, version: \"{results.ModelVersion}\"");
Debug.WriteLine("");
foreach (RecognizeEntitiesResult result in results)
{
TextDocumentInput document = documents[i++];
Debug.WriteLine($"On document (Id={document.Id}, Language=\"{document.Language}\", Text=\"{document.Text}\"):");
if (result.HasError)
{
Debug.WriteLine($" Document error code: {result.Error.ErrorCode}.");
Debug.WriteLine($" Message: {result.Error.Message}.");
}
else
{
Debug.WriteLine($" Recognized the following {result.Entities.Count()} entities:");
foreach (CategorizedEntity entity in result.Entities)
{
Debug.WriteLine($" Text: {entity.Text}, Offset (in UTF-16 code units): {entity.Offset}, Length (in UTF-16 code units): {entity.Length}");
Debug.WriteLine($" Text: {entity.Text}, Category: {entity.Category}, SubCategory: {entity.SubCategory}, Confidence score: {entity.ConfidenceScore}");
}
Debug.WriteLine($" Document statistics:");
Debug.WriteLine($" Character count (in Unicode graphemes): {result.Statistics.CharacterCount}");
Debug.WriteLine($" Transaction count: {result.Statistics.TransactionCount}");
Debug.WriteLine("");
}
}
Debug.WriteLine($"Batch operation statistics:");
Debug.WriteLine($" Document count: {results.Statistics.DocumentCount}");
Debug.WriteLine($" Valid document count: {results.Statistics.ValidDocumentCount}");
Debug.WriteLine($" Invalid document count: {results.Statistics.InvalidDocumentCount}");
Debug.WriteLine($" Transaction count: {results.Statistics.TransactionCount}");
Debug.WriteLine("");
}
public void RecognizeEntitiesBatch()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
// Instantiate a client that will be used to call the service.
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
#region Snippet:TextAnalyticsSample4RecognizeEntitiesBatch
string documentA = @"We love this trail and make the trip every year. The views are breathtaking and well
worth the hike! Yesterday was foggy though, so we missed the spectacular views.
We tried again today and it was amazing. Everyone in my family liked the trail although
it was too challenging for the less athletic among us.
Not necessarily recommended for small children.
A hotel close to the trail offers services for childcare in case you want that.";
string documentB = @"Nos hospedamos en el Hotel Foo la semana pasada por nuestro aniversario. La gerencia
sabía de nuestra celebración y me ayudaron a tenerle una sorpresa a mi pareja.
La habitación estaba limpia y decorada como yo había pedido. Una gran experiencia.
El próximo año volveremos.";
string documentC = @"That was the best day of my life! We went on a 4 day trip where we stayed at Hotel Foo.
They had great amenities that included an indoor pool, a spa, and a bar.
The spa offered couples massages which were really good.
The spa was clean and felt very peaceful. Overall the whole experience was great.
We will definitely come back.";
var documents = new List <TextDocumentInput>
{
new TextDocumentInput("1", documentA)
{
Language = "en",
},
new TextDocumentInput("2", documentB)
{
Language = "es",
},
new TextDocumentInput("3", documentC)
{
Language = "en",
},
new TextDocumentInput("4", string.Empty)
};
var options = new TextAnalyticsRequestOptions {
IncludeStatistics = true
};
Response <RecognizeEntitiesResultCollection> response = client.RecognizeEntitiesBatch(documents, options);
RecognizeEntitiesResultCollection entitiesInDocuments = response.Value;
int i = 0;
Console.WriteLine($"Results of Azure Text Analytics \"Named Entity Recognition\" Model, version: \"{entitiesInDocuments.ModelVersion}\"");
Console.WriteLine("");
foreach (RecognizeEntitiesResult entitiesInDocument in entitiesInDocuments)
{
TextDocumentInput document = documents[i++];
Console.WriteLine($"On document (Id={document.Id}, Language=\"{document.Language}\"):");
if (entitiesInDocument.HasError)
{
Console.WriteLine(" Error!");
Console.WriteLine($" Document error code: {entitiesInDocument.Error.ErrorCode}.");
Console.WriteLine($" Message: {entitiesInDocument.Error.Message}");
}
else
{
Console.WriteLine($" Recognized the following {entitiesInDocument.Entities.Count()} entities:");
foreach (CategorizedEntity entity in entitiesInDocument.Entities)
{
Console.WriteLine($" Text: {entity.Text}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Category: {entity.Category}");
if (!string.IsNullOrEmpty(entity.SubCategory))
{
Console.WriteLine($" SubCategory: {entity.SubCategory}");
}
Console.WriteLine($" Confidence score: {entity.ConfidenceScore}");
Console.WriteLine("");
}
Console.WriteLine($" Document statistics:");
Console.WriteLine($" Character count: {entitiesInDocument.Statistics.CharacterCount}");
Console.WriteLine($" Transaction count: {entitiesInDocument.Statistics.TransactionCount}");
}
Console.WriteLine("");
}
Console.WriteLine($"Batch operation statistics:");
Console.WriteLine($" Document count: {entitiesInDocuments.Statistics.DocumentCount}");
Console.WriteLine($" Valid document count: {entitiesInDocuments.Statistics.ValidDocumentCount}");
Console.WriteLine($" Invalid document count: {entitiesInDocuments.Statistics.InvalidDocumentCount}");
Console.WriteLine($" Transaction count: {entitiesInDocuments.Statistics.TransactionCount}");
Console.WriteLine("");
#endregion
}
public void RecognizeEntitiesBatchConvenience()
{
string endpoint = TestEnvironment.Endpoint;
string apiKey = TestEnvironment.ApiKey;
// Instantiate a client that will be used to call the service.
var client = new TextAnalyticsClient(new Uri(endpoint), new AzureKeyCredential(apiKey));
#region Snippet:TextAnalyticsSample4RecognizeEntitiesConvenience
string documentA = @"We love this trail and make the trip every year. The views are breathtaking and well
worth the hike! Yesterday was foggy though, so we missed the spectacular views.
We tried again today and it was amazing. Everyone in my family liked the trail although
it was too challenging for the less athletic among us.
Not necessarily recommended for small children.
A hotel close to the trail offers services for childcare in case you want that.";
string documentB = @"Last week we stayed at Hotel Foo to celebrate our anniversary. The staff knew about
our anniversary so they helped me organize a little surprise for my partner.
The room was clean and with the decoration I requested. It was perfect!";
string documentC = @"That was the best day of my life! We went on a 4 day trip where we stayed at Hotel Foo.
They had great amenities that included an indoor pool, a spa, and a bar.
The spa offered couples massages which were really good.
The spa was clean and felt very peaceful. Overall the whole experience was great.
We will definitely come back.";
string documentD = string.Empty;
var documents = new List <string>
{
documentA,
documentB,
documentC,
documentD
};
Response <RecognizeEntitiesResultCollection> response = client.RecognizeEntitiesBatch(documents);
RecognizeEntitiesResultCollection entititesPerDocuments = response.Value;
int i = 0;
Console.WriteLine($"Results of Azure Text Analytics \"Named Entity Recognition\" Model, version: \"{entititesPerDocuments.ModelVersion}\"");
Console.WriteLine("");
foreach (RecognizeEntitiesResult entitiesInDocument in entititesPerDocuments)
{
Console.WriteLine($"On document with Text: \"{documents[i++]}\"");
Console.WriteLine("");
if (entitiesInDocument.HasError)
{
Console.WriteLine(" Error!");
Console.WriteLine($" Document error code: {entitiesInDocument.Error.ErrorCode}.");
Console.WriteLine($" Message: {entitiesInDocument.Error.Message}");
}
else
{
Console.WriteLine($" Recognized the following {entitiesInDocument.Entities.Count()} entities:");
foreach (CategorizedEntity entity in entitiesInDocument.Entities)
{
Console.WriteLine($" Text: {entity.Text}");
Console.WriteLine($" Offset: {entity.Offset}");
Console.WriteLine($" Category: {entity.Category}");
if (!string.IsNullOrEmpty(entity.SubCategory))
{
Console.WriteLine($" SubCategory: {entity.SubCategory}");
}
Console.WriteLine($" Confidence score: {entity.ConfidenceScore}");
Console.WriteLine("");
}
}
Console.WriteLine("");
}
#endregion
}
