Class LanguageServiceClient (2.13.0)

Version 2.13.0

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public class LanguageServiceClient implements BackgroundResource

Service Description: Provides text analysis operations such as sentiment analysis and entity recognition.

This class provides the ability to make remote calls to the backing service through method calls that map to API methods. Sample code to get started:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnalyzeSentimentResponse response = languageServiceClient.analyzeSentiment(document);
 }
 

Note: close() needs to be called on the LanguageServiceClient object to clean up resources such as threads. In the example above, try-with-resources is used, which automatically calls close().

The surface of this class includes several types of Java methods for each of the API's methods:

1. A "flattened" method. With this type of method, the fields of the request type have been converted into function parameters. It may be the case that not all fields are available as parameters, and not every API method will have a flattened method entry point.
2. A "request object" method. This type of method only takes one parameter, a request object, which must be constructed before the call. Not every API method will have a request object method.
3. A "callable" method. This type of method takes no parameters and returns an immutable API callable object, which can be used to initiate calls to the service.

See the individual methods for example code.

Many parameters require resource names to be formatted in a particular way. To assist with these names, this class includes a format method for each type of name, and additionally a parse method to extract the individual identifiers contained within names that are returned.

This class can be customized by passing in a custom instance of LanguageServiceSettings to create(). For example:

To customize credentials:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 LanguageServiceSettings languageServiceSettings =
     LanguageServiceSettings.newBuilder()
         .setCredentialsProvider(FixedCredentialsProvider.create(myCredentials))
         .build();
 LanguageServiceClient languageServiceClient =
     LanguageServiceClient.create(languageServiceSettings);
 

To customize the endpoint:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 LanguageServiceSettings languageServiceSettings =
     LanguageServiceSettings.newBuilder().setEndpoint(myEndpoint).build();
 LanguageServiceClient languageServiceClient =
     LanguageServiceClient.create(languageServiceSettings);
 

To use REST (HTTP1.1/JSON) transport (instead of gRPC) for sending and receiving requests over the wire:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 LanguageServiceSettings languageServiceSettings =
     LanguageServiceSettings.newHttpJsonBuilder().build();
 LanguageServiceClient languageServiceClient =
     LanguageServiceClient.create(languageServiceSettings);
 

Please refer to the GitHub repository's samples for more quickstart code snippets.

Inheritance

java.lang.Object > LanguageServiceClient

Implements

BackgroundResource

Inherited Members

Object.clone()

Object.equals(Object)

Object.finalize()

Object.getClass()

Object.hashCode()

Object.notify()

Object.notifyAll()

Object.toString()

Object.wait()

Object.wait(long)

Object.wait(long,int)

Static Methods

create()

public static final LanguageServiceClient create()

Constructs an instance of LanguageServiceClient with default settings.

Returns

Type	Description
LanguageServiceClient

Exceptions

Type	Description
IOException

create(LanguageServiceSettings settings)

public static final LanguageServiceClient create(LanguageServiceSettings settings)

Constructs an instance of LanguageServiceClient, using the given settings. The channels are created based on the settings passed in, or defaults for any settings that are not set.

Parameter

Name	Description
settings	LanguageServiceSettings

Returns

Type	Description
LanguageServiceClient

Exceptions

Type	Description
IOException

create(LanguageServiceStub stub)

public static final LanguageServiceClient create(LanguageServiceStub stub)

Constructs an instance of LanguageServiceClient, using the given stub for making calls. This is for advanced usage - prefer using create(LanguageServiceSettings).

Parameter

Name	Description
stub	LanguageServiceStub

Returns

Type	Description
LanguageServiceClient

Constructors

LanguageServiceClient(LanguageServiceSettings settings)

protected LanguageServiceClient(LanguageServiceSettings settings)

Constructs an instance of LanguageServiceClient, using the given settings. This is protected so that it is easy to make a subclass, but otherwise, the static factory methods should be preferred.

Parameter

Name	Description
settings	LanguageServiceSettings

LanguageServiceClient(LanguageServiceStub stub)

protected LanguageServiceClient(LanguageServiceStub stub)

Parameter

Name	Description
stub	LanguageServiceStub

Methods

analyzeEntities(AnalyzeEntitiesRequest request)

public final AnalyzeEntitiesResponse analyzeEntities(AnalyzeEntitiesRequest request)

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeEntitiesRequest request =
       AnalyzeEntitiesRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   AnalyzeEntitiesResponse response = languageServiceClient.analyzeEntities(request);
 }
 

Parameter

Name	Description
request	AnalyzeEntitiesRequest The request object containing all of the parameters for the API call.

Returns

Type	Description
AnalyzeEntitiesResponse

analyzeEntities(Document document)

public final AnalyzeEntitiesResponse analyzeEntities(Document document)

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnalyzeEntitiesResponse response = languageServiceClient.analyzeEntities(document);
 }
 

Parameter

Name	Description
document	Document Required. Input document.

Returns

Type	Description
AnalyzeEntitiesResponse

analyzeEntities(Document document, EncodingType encodingType)

public final AnalyzeEntitiesResponse analyzeEntities(Document document, EncodingType encodingType)

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   EncodingType encodingType = EncodingType.forNumber(0);
   AnalyzeEntitiesResponse response =
       languageServiceClient.analyzeEntities(document, encodingType);
 }
 

Parameters

Name	Description
document	Document Required. Input document.
encodingType	EncodingType The encoding type used by the API to calculate offsets.

Returns

Type	Description
AnalyzeEntitiesResponse

analyzeEntitiesCallable()

public final UnaryCallable<AnalyzeEntitiesRequest,AnalyzeEntitiesResponse> analyzeEntitiesCallable()

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeEntitiesRequest request =
       AnalyzeEntitiesRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   ApiFuture<AnalyzeEntitiesResponse> future =
       languageServiceClient.analyzeEntitiesCallable().futureCall(request);
   // Do something.
   AnalyzeEntitiesResponse response = future.get();
 }
 

Returns

Type	Description
UnaryCallable<AnalyzeEntitiesRequest,AnalyzeEntitiesResponse>

analyzeEntitySentiment(AnalyzeEntitySentimentRequest request)

public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(AnalyzeEntitySentimentRequest request)

Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeEntitySentimentRequest request =
       AnalyzeEntitySentimentRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   AnalyzeEntitySentimentResponse response =
       languageServiceClient.analyzeEntitySentiment(request);
 }
 

Parameter

Name	Description
request	AnalyzeEntitySentimentRequest The request object containing all of the parameters for the API call.

Returns

Type	Description
AnalyzeEntitySentimentResponse

analyzeEntitySentiment(Document document)

public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(Document document)

Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnalyzeEntitySentimentResponse response =
       languageServiceClient.analyzeEntitySentiment(document);
 }
 

Parameter

Name	Description
document	Document Required. Input document.

Returns

Type	Description
AnalyzeEntitySentimentResponse

analyzeEntitySentiment(Document document, EncodingType encodingType)

public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(Document document, EncodingType encodingType)

Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   EncodingType encodingType = EncodingType.forNumber(0);
   AnalyzeEntitySentimentResponse response =
       languageServiceClient.analyzeEntitySentiment(document, encodingType);
 }
 

Parameters

Name	Description
document	Document Required. Input document.
encodingType	EncodingType The encoding type used by the API to calculate offsets.

Returns

Type	Description
AnalyzeEntitySentimentResponse

analyzeEntitySentimentCallable()

public final UnaryCallable<AnalyzeEntitySentimentRequest,AnalyzeEntitySentimentResponse> analyzeEntitySentimentCallable()

Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeEntitySentimentRequest request =
       AnalyzeEntitySentimentRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   ApiFuture<AnalyzeEntitySentimentResponse> future =
       languageServiceClient.analyzeEntitySentimentCallable().futureCall(request);
   // Do something.
   AnalyzeEntitySentimentResponse response = future.get();
 }
 

Returns

Type	Description
UnaryCallable<AnalyzeEntitySentimentRequest,AnalyzeEntitySentimentResponse>

analyzeSentiment(AnalyzeSentimentRequest request)

public final AnalyzeSentimentResponse analyzeSentiment(AnalyzeSentimentRequest request)

Analyzes the sentiment of the provided text.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeSentimentRequest request =
       AnalyzeSentimentRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   AnalyzeSentimentResponse response = languageServiceClient.analyzeSentiment(request);
 }
 

Parameter

Name	Description
request	AnalyzeSentimentRequest The request object containing all of the parameters for the API call.

Returns

Type	Description
AnalyzeSentimentResponse

analyzeSentiment(Document document)

public final AnalyzeSentimentResponse analyzeSentiment(Document document)

Analyzes the sentiment of the provided text.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnalyzeSentimentResponse response = languageServiceClient.analyzeSentiment(document);
 }
 

Parameter

Name	Description
document	Document Required. Input document.

Returns

Type	Description
AnalyzeSentimentResponse

analyzeSentiment(Document document, EncodingType encodingType)

public final AnalyzeSentimentResponse analyzeSentiment(Document document, EncodingType encodingType)

Analyzes the sentiment of the provided text.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   EncodingType encodingType = EncodingType.forNumber(0);
   AnalyzeSentimentResponse response =
       languageServiceClient.analyzeSentiment(document, encodingType);
 }
 

Parameters

Name	Description
document	Document Required. Input document.
encodingType	EncodingType The encoding type used by the API to calculate sentence offsets for the sentence sentiment.

Returns

Type	Description
AnalyzeSentimentResponse

analyzeSentimentCallable()

public final UnaryCallable<AnalyzeSentimentRequest,AnalyzeSentimentResponse> analyzeSentimentCallable()

Analyzes the sentiment of the provided text.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeSentimentRequest request =
       AnalyzeSentimentRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   ApiFuture<AnalyzeSentimentResponse> future =
       languageServiceClient.analyzeSentimentCallable().futureCall(request);
   // Do something.
   AnalyzeSentimentResponse response = future.get();
 }
 

Returns

Type	Description
UnaryCallable<AnalyzeSentimentRequest,AnalyzeSentimentResponse>

analyzeSyntax(AnalyzeSyntaxRequest request)

public final AnalyzeSyntaxResponse analyzeSyntax(AnalyzeSyntaxRequest request)

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeSyntaxRequest request =
       AnalyzeSyntaxRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   AnalyzeSyntaxResponse response = languageServiceClient.analyzeSyntax(request);
 }
 

Parameter

Name	Description
request	AnalyzeSyntaxRequest The request object containing all of the parameters for the API call.

Returns

Type	Description
AnalyzeSyntaxResponse

analyzeSyntax(Document document)

public final AnalyzeSyntaxResponse analyzeSyntax(Document document)

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnalyzeSyntaxResponse response = languageServiceClient.analyzeSyntax(document);
 }
 

Parameter

Name	Description
document	Document Required. Input document.

Returns

Type	Description
AnalyzeSyntaxResponse

analyzeSyntax(Document document, EncodingType encodingType)

public final AnalyzeSyntaxResponse analyzeSyntax(Document document, EncodingType encodingType)

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   EncodingType encodingType = EncodingType.forNumber(0);
   AnalyzeSyntaxResponse response = languageServiceClient.analyzeSyntax(document, encodingType);
 }
 

Parameters

Name	Description
document	Document Required. Input document.
encodingType	EncodingType The encoding type used by the API to calculate offsets.

Returns

Type	Description
AnalyzeSyntaxResponse

analyzeSyntaxCallable()

public final UnaryCallable<AnalyzeSyntaxRequest,AnalyzeSyntaxResponse> analyzeSyntaxCallable()

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnalyzeSyntaxRequest request =
       AnalyzeSyntaxRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   ApiFuture<AnalyzeSyntaxResponse> future =
       languageServiceClient.analyzeSyntaxCallable().futureCall(request);
   // Do something.
   AnalyzeSyntaxResponse response = future.get();
 }
 

Returns

Type	Description
UnaryCallable<AnalyzeSyntaxRequest,AnalyzeSyntaxResponse>

annotateText(AnnotateTextRequest request)

public final AnnotateTextResponse annotateText(AnnotateTextRequest request)

A convenience method that provides all syntax, sentiment, entity, and classification features in one call.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnnotateTextRequest request =
       AnnotateTextRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setFeatures(AnnotateTextRequest.Features.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   AnnotateTextResponse response = languageServiceClient.annotateText(request);
 }
 

Parameter

Name	Description
request	AnnotateTextRequest The request object containing all of the parameters for the API call.

Returns

Type	Description
AnnotateTextResponse

annotateText(Document document, AnnotateTextRequest.Features features)

public final AnnotateTextResponse annotateText(Document document, AnnotateTextRequest.Features features)

A convenience method that provides all syntax, sentiment, entity, and classification features in one call.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnnotateTextRequest.Features features = AnnotateTextRequest.Features.newBuilder().build();
   AnnotateTextResponse response = languageServiceClient.annotateText(document, features);
 }
 

Parameters

Name	Description
document	Document Required. Input document.
features	AnnotateTextRequest.Features Required. The enabled features.

Returns

Type	Description
AnnotateTextResponse

annotateText(Document document, AnnotateTextRequest.Features features, EncodingType encodingType)

public final AnnotateTextResponse annotateText(Document document, AnnotateTextRequest.Features features, EncodingType encodingType)

A convenience method that provides all syntax, sentiment, entity, and classification features in one call.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   AnnotateTextRequest.Features features = AnnotateTextRequest.Features.newBuilder().build();
   EncodingType encodingType = EncodingType.forNumber(0);
   AnnotateTextResponse response =
       languageServiceClient.annotateText(document, features, encodingType);
 }
 

Parameters

Name	Description
document	Document Required. Input document.
features	AnnotateTextRequest.Features Required. The enabled features.
encodingType	EncodingType The encoding type used by the API to calculate offsets.

Returns

Type	Description
AnnotateTextResponse

annotateTextCallable()

public final UnaryCallable<AnnotateTextRequest,AnnotateTextResponse> annotateTextCallable()

A convenience method that provides all syntax, sentiment, entity, and classification features in one call.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   AnnotateTextRequest request =
       AnnotateTextRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setFeatures(AnnotateTextRequest.Features.newBuilder().build())
           .setEncodingType(EncodingType.forNumber(0))
           .build();
   ApiFuture<AnnotateTextResponse> future =
       languageServiceClient.annotateTextCallable().futureCall(request);
   // Do something.
   AnnotateTextResponse response = future.get();
 }
 

Returns

Type	Description
UnaryCallable<AnnotateTextRequest,AnnotateTextResponse>

awaitTermination(long duration, TimeUnit unit)

public boolean awaitTermination(long duration, TimeUnit unit)

Parameters

Name	Description
duration	long
unit	TimeUnit

Returns

Type	Description
boolean

Exceptions

Type	Description
InterruptedException

classifyText(ClassifyTextRequest request)

public final ClassifyTextResponse classifyText(ClassifyTextRequest request)

Classifies a document into categories.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   ClassifyTextRequest request =
       ClassifyTextRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setClassificationModelOptions(ClassificationModelOptions.newBuilder().build())
           .build();
   ClassifyTextResponse response = languageServiceClient.classifyText(request);
 }
 

Parameter

Name	Description
request	ClassifyTextRequest The request object containing all of the parameters for the API call.

Returns

Type	Description
ClassifyTextResponse

classifyText(Document document)

public final ClassifyTextResponse classifyText(Document document)

Classifies a document into categories.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   Document document = Document.newBuilder().build();
   ClassifyTextResponse response = languageServiceClient.classifyText(document);
 }
 

Parameter

Name	Description
document	Document Required. Input document.

Returns

Type	Description
ClassifyTextResponse

classifyTextCallable()

public final UnaryCallable<ClassifyTextRequest,ClassifyTextResponse> classifyTextCallable()

Classifies a document into categories.

Sample code:

 // This snippet has been automatically generated and should be regarded as a code template only.
 // It will require modifications to work:
 // - It may require correct/in-range values for request initialization.
 // - It may require specifying regional endpoints when creating the service client as shown in
 // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
 try (LanguageServiceClient languageServiceClient = LanguageServiceClient.create()) {
   ClassifyTextRequest request =
       ClassifyTextRequest.newBuilder()
           .setDocument(Document.newBuilder().build())
           .setClassificationModelOptions(ClassificationModelOptions.newBuilder().build())
           .build();
   ApiFuture<ClassifyTextResponse> future =
       languageServiceClient.classifyTextCallable().futureCall(request);
   // Do something.
   ClassifyTextResponse response = future.get();
 }
 

Returns

Type	Description
UnaryCallable<ClassifyTextRequest,ClassifyTextResponse>

close()

public final void close()

getSettings()

public final LanguageServiceSettings getSettings()

Returns

Type	Description
LanguageServiceSettings

getStub()

public LanguageServiceStub getStub()

Returns

Type	Description
LanguageServiceStub

isShutdown()

public boolean isShutdown()

Returns

Type	Description
boolean

isTerminated()

public boolean isTerminated()

Returns

Type	Description
boolean

shutdown()

public void shutdown()

shutdownNow()

public void shutdownNow()