Class LanguageServiceClient (2.42.0)

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().

Methods
Method	Description	Method Variants
AnalyzeSentiment	Analyzes the sentiment of the provided text.	Request object method variants only take one parameter, a request object, which must be constructed before the call. analyzeSentiment(AnalyzeSentimentRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. analyzeSentiment(Document document) analyzeSentiment(Document document, EncodingType encodingType) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. analyzeSentimentCallable()
AnalyzeEntities	Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.	Request object method variants only take one parameter, a request object, which must be constructed before the call. analyzeEntities(AnalyzeEntitiesRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. analyzeEntities(Document document) analyzeEntities(Document document, EncodingType encodingType) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. analyzeEntitiesCallable()
AnalyzeEntitySentiment	Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.	Request object method variants only take one parameter, a request object, which must be constructed before the call. analyzeEntitySentiment(AnalyzeEntitySentimentRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. analyzeEntitySentiment(Document document) analyzeEntitySentiment(Document document, EncodingType encodingType) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. analyzeEntitySentimentCallable()
AnalyzeSyntax	Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.	Request object method variants only take one parameter, a request object, which must be constructed before the call. analyzeSyntax(AnalyzeSyntaxRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. analyzeSyntax(Document document) analyzeSyntax(Document document, EncodingType encodingType) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. analyzeSyntaxCallable()
ClassifyText	Classifies a document into categories.	Request object method variants only take one parameter, a request object, which must be constructed before the call. classifyText(ClassifyTextRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. classifyText(Document document) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. classifyTextCallable()
ModerateText	Moderates a document for harmful and sensitive categories.	Request object method variants only take one parameter, a request object, which must be constructed before the call. moderateText(ModerateTextRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. moderateText(Document document) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. moderateTextCallable()
AnnotateText	A convenience method that provides all syntax, sentiment, entity, and classification features in one call.	Request object method variants only take one parameter, a request object, which must be constructed before the call. annotateText(AnnotateTextRequest request) "Flattened" method variants have converted the fields of the request object into function parameters to enable multiple ways to call the same method. annotateText(Document document, AnnotateTextRequest.Features features) annotateText(Document document, AnnotateTextRequest.Features features, EncodingType encodingType) Callable method variants take no parameters and return an immutable API callable object, which can be used to initiate calls to the service. annotateTextCallable()

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

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`

moderateText(Document document)

public final ModerateTextResponse moderateText(Document document)

Moderates a document for harmful and sensitive 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();
   ModerateTextResponse response = languageServiceClient.moderateText(document);
 }

Parameter
Name	Description
`document`	`Document` Required. Input document.

Returns
Type	Description
`ModerateTextResponse`

moderateText(ModerateTextRequest request)

public final ModerateTextResponse moderateText(ModerateTextRequest request)

Moderates a document for harmful and sensitive 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()) {
   ModerateTextRequest request =
       ModerateTextRequest.newBuilder().setDocument(Document.newBuilder().build()).build();
   ModerateTextResponse response = languageServiceClient.moderateText(request);
 }

Parameter
Name	Description
`request`	`ModerateTextRequest` The request object containing all of the parameters for the API call.

Returns
Type	Description
`ModerateTextResponse`

moderateTextCallable()

public final UnaryCallable<ModerateTextRequest,ModerateTextResponse> moderateTextCallable()

Moderates a document for harmful and sensitive 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()) {
   ModerateTextRequest request =
       ModerateTextRequest.newBuilder().setDocument(Document.newBuilder().build()).build();
   ApiFuture<ModerateTextResponse> future =
       languageServiceClient.moderateTextCallable().futureCall(request);
   // Do something.
   ModerateTextResponse response = future.get();
 }

Returns
Type	Description
`UnaryCallable<ModerateTextRequest,ModerateTextResponse>`

shutdown()

public void shutdown()

shutdownNow()

public void shutdownNow()