LanguageServiceClient (Google Cloud Natural Language Parent 2.4.1 API)

java.lang.Object
- com.google.cloud.language.v1beta2.LanguageServiceClient

All Implemented Interfaces:: BackgroundResource, AutoCloseable

@BetaApi
 @Generated(value="by gapic-generator-java")
public class LanguageServiceClient
extends Object
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:

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.
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.
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.newBuilder()
         .setTransportChannelProvider(
             LanguageServiceSettings.defaultHttpJsonTransportProviderBuilder().build())
         .build();
 LanguageServiceClient languageServiceClient =
     LanguageServiceClient.create(languageServiceSettings);

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

Constructor Summary

Constructors
Modifier	Constructor and Description
`protected`	`LanguageServiceClient(LanguageServiceSettings settings)` Constructs an instance of LanguageServiceClient, using the given settings.
`protected`	`LanguageServiceClient(LanguageServiceStub stub)`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`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.
`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.
`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.
`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.
`AnalyzeEntitySentimentResponse`	`analyzeEntitySentiment(AnalyzeEntitySentimentRequest request)` Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes sentiment associated with each entity and its mentions.
`AnalyzeEntitySentimentResponse`	`analyzeEntitySentiment(Document document)` Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes sentiment associated with each entity and its mentions.
`AnalyzeEntitySentimentResponse`	`analyzeEntitySentiment(Document document, EncodingType encodingType)` Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes sentiment associated with each entity and its mentions.
`UnaryCallable<AnalyzeEntitySentimentRequest,AnalyzeEntitySentimentResponse>`	`analyzeEntitySentimentCallable()` Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities] in the text and analyzes sentiment associated with each entity and its mentions.
`AnalyzeSentimentResponse`	`analyzeSentiment(AnalyzeSentimentRequest request)` Analyzes the sentiment of the provided text.
`AnalyzeSentimentResponse`	`analyzeSentiment(Document document)` Analyzes the sentiment of the provided text.
`AnalyzeSentimentResponse`	`analyzeSentiment(Document document, EncodingType encodingType)` Analyzes the sentiment of the provided text.
`UnaryCallable<AnalyzeSentimentRequest,AnalyzeSentimentResponse>`	`analyzeSentimentCallable()` Analyzes the sentiment of the provided text.
`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.
`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.
`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.
`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.
`AnnotateTextResponse`	`annotateText(AnnotateTextRequest request)` A convenience method that provides all syntax, sentiment, entity, and classification features in one call.
`AnnotateTextResponse`	`annotateText(Document document, AnnotateTextRequest.Features features)` A convenience method that provides all syntax, sentiment, entity, and classification features in one call.
`AnnotateTextResponse`	`annotateText(Document document, AnnotateTextRequest.Features features, EncodingType encodingType)` A convenience method that provides all syntax, sentiment, entity, and classification features in one call.
`UnaryCallable<AnnotateTextRequest,AnnotateTextResponse>`	`annotateTextCallable()` A convenience method that provides all syntax, sentiment, entity, and classification features in one call.
`boolean`	`awaitTermination(long duration, TimeUnit unit)`
`ClassifyTextResponse`	`classifyText(ClassifyTextRequest request)` Classifies a document into categories.
`ClassifyTextResponse`	`classifyText(Document document)` Classifies a document into categories.
`UnaryCallable<ClassifyTextRequest,ClassifyTextResponse>`	`classifyTextCallable()` Classifies a document into categories.
`void`	`close()`
`static LanguageServiceClient`	`create()` Constructs an instance of LanguageServiceClient with default settings.
`static LanguageServiceClient`	`create(LanguageServiceSettings settings)` Constructs an instance of LanguageServiceClient, using the given settings.
`static LanguageServiceClient`	`create(LanguageServiceStub stub)` Constructs an instance of LanguageServiceClient, using the given stub for making calls.
`LanguageServiceSettings`	`getSettings()`
`LanguageServiceStub`	`getStub()`
`boolean`	`isShutdown()`
`boolean`	`isTerminated()`
`void`	`shutdown()`
`void`	`shutdownNow()`

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail
- LanguageServiceClient
```
protected LanguageServiceClient(LanguageServiceSettings settings)
                         throws IOException
```
  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.
  
  Throws:
  
  IOException
- LanguageServiceClient
```
protected LanguageServiceClient(LanguageServiceStub stub)
```

Method Detail

create

public static final LanguageServiceClient create()
                                          throws IOException

Constructs an instance of LanguageServiceClient with default settings.

Throws:: IOException

create
```
public static final LanguageServiceClient create(LanguageServiceSettings settings)
                                          throws IOException
```
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.

Throws:

IOException

create
```
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).

getSettings

public final LanguageServiceSettings getSettings()

getStub
```
public LanguageServiceStub getStub()
```

analyzeSentiment

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);
 }

Parameters:: document - Required. Input document.
Throws:: ApiException - if the remote call fails

analyzeSentiment

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:: document - Required. Input document.; encodingType - The encoding type used by the API to calculate sentence offsets for the sentence sentiment.
Throws:: ApiException - if the remote call fails

analyzeSentiment

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);
 }

Parameters:: request - The request object containing all of the parameters for the API call.
Throws:: ApiException - if the remote call fails

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();
 }

analyzeEntities

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);
 }

Parameters:: document - Required. Input document.
Throws:: ApiException - if the remote call fails

analyzeEntities

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:: document - Required. Input document.; encodingType - The encoding type used by the API to calculate offsets.
Throws:: ApiException - if the remote call fails

analyzeEntities

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);
 }

Parameters:: request - The request object containing all of the parameters for the API call.
Throws:: ApiException - if the remote call fails

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();
 }

analyzeEntitySentiment

public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(Document document)

Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.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);
 }

Parameters:: document - Required. Input document.
Throws:: ApiException - if the remote call fails

analyzeEntitySentiment

public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(Document document,
                                                                   EncodingType encodingType)

Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.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:: document - Required. Input document.; encodingType - The encoding type used by the API to calculate offsets.
Throws:: ApiException - if the remote call fails

analyzeEntitySentiment

public final AnalyzeEntitySentimentResponse analyzeEntitySentiment(AnalyzeEntitySentimentRequest request)

Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.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);
 }

Parameters:: request - The request object containing all of the parameters for the API call.
Throws:: ApiException - if the remote call fails

analyzeEntitySentimentCallable

public final UnaryCallable<AnalyzeEntitySentimentRequest,AnalyzeEntitySentimentResponse> analyzeEntitySentimentCallable()

Finds entities, similar to [AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.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();
 }

analyzeSyntax

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);
 }

Parameters:: document - Required. Input document.
Throws:: ApiException - if the remote call fails

analyzeSyntax

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:: document - Required. Input document.; encodingType - The encoding type used by the API to calculate offsets.
Throws:: ApiException - if the remote call fails

analyzeSyntax

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);
 }

Parameters:: request - The request object containing all of the parameters for the API call.
Throws:: ApiException - if the remote call fails

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();
 }

classifyText

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);
 }

Parameters:: document - Required. Input document.
Throws:: ApiException - if the remote call fails

classifyText

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);
 }

Parameters:: request - The request object containing all of the parameters for the API call.
Throws:: ApiException - if the remote call fails

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();
 }

annotateText

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:: document - Required. Input document.; features - Required. The enabled features.
Throws:: ApiException - if the remote call fails

annotateText

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:: document - Required. Input document.; features - Required. The enabled features.; encodingType - The encoding type used by the API to calculate offsets.
Throws:: ApiException - if the remote call fails

annotateText

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);
 }

Parameters:: request - The request object containing all of the parameters for the API call.
Throws:: ApiException - if the remote call fails

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();
 }

close
```
public final void close()
```
Specified by:

close in interface AutoCloseable

shutdown
```
public void shutdown()
```
Specified by:

shutdown in interface BackgroundResource

isShutdown
```
public boolean isShutdown()
```
Specified by:

isShutdown in interface BackgroundResource

isTerminated
```
public boolean isTerminated()
```
Specified by:

isTerminated in interface BackgroundResource

shutdownNow
```
public void shutdownNow()
```
Specified by:

shutdownNow in interface BackgroundResource

awaitTermination

public boolean awaitTermination(long duration,
                                TimeUnit unit)
                         throws InterruptedException

Specified by:: awaitTermination in interface BackgroundResource
Throws:: InterruptedException

Class LanguageServiceClient

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

LanguageServiceClient

LanguageServiceClient

Method Detail

create

create

create

getSettings

getStub

analyzeSentiment

analyzeSentiment

analyzeSentiment

analyzeSentimentCallable

analyzeEntities

analyzeEntities

analyzeEntities

analyzeEntitiesCallable

analyzeEntitySentiment

analyzeEntitySentiment

analyzeEntitySentiment

analyzeEntitySentimentCallable

analyzeSyntax

analyzeSyntax

analyzeSyntax

analyzeSyntaxCallable

classifyText

classifyText

classifyTextCallable

annotateText

annotateText

annotateText

annotateTextCallable

close

shutdown

isShutdown

isTerminated

shutdownNow

awaitTermination