Class LanguageServiceClient (2.14.0)

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().

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

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

See the individual methods for example code.

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

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

To customize credentials:

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

To customize the endpoint:

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

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

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

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

Constructs an instance of LanguageServiceClient with default 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.

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

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.

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);
 }
 

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);
 }
 

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);
 }
 

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();
 }
 

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);
 }
 

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);
 }
 

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);
 }
 

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();
 }
 

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);
 }
 

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);
 }
 

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);
 }
 

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();
 }
 

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);
 }
 

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);
 }
 

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);
 }
 

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();
 }
 

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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);
 }
 

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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);
 }
 

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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);
 }
 

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide 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();
 }
 

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);
 }
 

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);
 }
 

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();
 }