Class LanguageServiceClient (2.36.0)

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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
MethodDescriptionMethod 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 the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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
TypeDescription
LanguageServiceClient
Exceptions
TypeDescription
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
NameDescription
settingsLanguageServiceSettings
Returns
TypeDescription
LanguageServiceClient
Exceptions
TypeDescription
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
NameDescription
stubLanguageServiceStub
Returns
TypeDescription
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
NameDescription
settingsLanguageServiceSettings

LanguageServiceClient(LanguageServiceStub stub)

protected LanguageServiceClient(LanguageServiceStub stub)
Parameter
NameDescription
stubLanguageServiceStub

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
NameDescription
requestAnalyzeEntitiesRequest

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

Returns
TypeDescription
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
NameDescription
documentDocument

Required. Input document.

Returns
TypeDescription
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
NameDescription
documentDocument

Required. Input document.

encodingTypeEncodingType

The encoding type used by the API to calculate offsets.

Returns
TypeDescription
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
TypeDescription
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
NameDescription
requestAnalyzeEntitySentimentRequest

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

Returns
TypeDescription
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
NameDescription
documentDocument

Required. Input document.

Returns
TypeDescription
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
NameDescription
documentDocument

Required. Input document.

encodingTypeEncodingType

The encoding type used by the API to calculate offsets.

Returns
TypeDescription
AnalyzeEntitySentimentResponse

analyzeEntitySentimentCallable()

public final UnaryCallable<AnalyzeEntitySentimentRequest,AnalyzeEntitySentimentResponse> analyzeEntitySentimentCallable()

Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associ