Package com.google.cloud.language.v1beta2 (2.5.0)

The entity analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitiesRequest

The entity analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitiesRequest

The entity analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitiesResponse

The entity analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitiesResponse

The entity-level sentiment analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest

The entity-level sentiment analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitySentimentRequest

The entity-level sentiment analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse

The entity-level sentiment analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeEntitySentimentResponse

The sentiment analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSentimentRequest

The sentiment analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSentimentRequest

The sentiment analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSentimentResponse

The sentiment analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSentimentResponse

The syntax analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSyntaxRequest

The syntax analysis request message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSyntaxRequest

The syntax analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSyntaxResponse

The syntax analysis response message.

Protobuf type google.cloud.language.v1beta2.AnalyzeSyntaxResponse

The request message for the text annotation API, which can perform multiple analysis types (sentiment, entities, and syntax) in one call.

Protobuf type google.cloud.language.v1beta2.AnnotateTextRequest

The request message for the text annotation API, which can perform multiple analysis types (sentiment, entities, and syntax) in one call.

Protobuf type google.cloud.language.v1beta2.AnnotateTextRequest

All available features for sentiment, syntax, and semantic analysis. Setting each one to true will enable that specific analysis for the input. Next ID: 11

Protobuf type google.cloud.language.v1beta2.AnnotateTextRequest.Features

All available features for sentiment, syntax, and semantic analysis. Setting each one to true will enable that specific analysis for the input. Next ID: 11

Protobuf type google.cloud.language.v1beta2.AnnotateTextRequest.Features

The text annotations response message.

Protobuf type google.cloud.language.v1beta2.AnnotateTextResponse

The text annotations response message.

Protobuf type google.cloud.language.v1beta2.AnnotateTextResponse

Represents a category returned from the text classifier.

Protobuf type google.cloud.language.v1beta2.ClassificationCategory

Represents a category returned from the text classifier.

Protobuf type google.cloud.language.v1beta2.ClassificationCategory

Model options available for classification requests.

Protobuf type google.cloud.language.v1beta2.ClassificationModelOptions

Model options available for classification requests.

Protobuf type google.cloud.language.v1beta2.ClassificationModelOptions

Options for the V1 model.

Protobuf type google.cloud.language.v1beta2.ClassificationModelOptions.V1Model

Options for the V1 model.

Protobuf type google.cloud.language.v1beta2.ClassificationModelOptions.V1Model

Options for the V2 model.

Protobuf type google.cloud.language.v1beta2.ClassificationModelOptions.V2Model

Options for the V2 model.

Protobuf type google.cloud.language.v1beta2.ClassificationModelOptions.V2Model

The document classification request message.

Protobuf type google.cloud.language.v1beta2.ClassifyTextRequest

The document classification request message.

Protobuf type google.cloud.language.v1beta2.ClassifyTextRequest

The document classification response message.

Protobuf type google.cloud.language.v1beta2.ClassifyTextResponse

The document classification response message.

Protobuf type google.cloud.language.v1beta2.ClassifyTextResponse

Represents dependency parse tree information for a token.

Protobuf type google.cloud.language.v1beta2.DependencyEdge

Represents dependency parse tree information for a token.

Protobuf type google.cloud.language.v1beta2.DependencyEdge

Represents the input to API methods.

Protobuf type google.cloud.language.v1beta2.Document

Represents the input to API methods.

Protobuf type google.cloud.language.v1beta2.Document

Represents a phrase in the text that is a known entity, such as a person, an organization, or location. The API associates information, such as salience and mentions, with entities.

Protobuf type google.cloud.language.v1beta2.Entity

Represents a phrase in the text that is a known entity, such as a person, an organization, or location. The API associates information, such as salience and mentions, with entities.

Protobuf type google.cloud.language.v1beta2.Entity

Represents a mention for an entity in the text. Currently, proper noun mentions are supported.

Protobuf type google.cloud.language.v1beta2.EntityMention

Represents a mention for an entity in the text. Currently, proper noun mentions are supported.

Protobuf type google.cloud.language.v1beta2.EntityMention

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

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

Provides text analysis operations such as sentiment analysis and entity recognition.

Provides text analysis operations such as sentiment analysis and entity recognition.

Provides text analysis operations such as sentiment analysis and entity recognition.

Provides text analysis operations such as sentiment analysis and entity recognition.

Provides text analysis operations such as sentiment analysis and entity recognition.

Settings class to configure an instance of LanguageServiceClient.

The default instance has everything set to sensible defaults:

• The default service address (language.googleapis.com) and default port (443) are used.
• Credentials are acquired automatically through Application Default Credentials.
• Retries are configured for idempotent methods but not for non-idempotent methods.

The builder of this class is recursive, so contained classes are themselves builders. When build() is called, the tree of builders is called to create the complete settings object.

For example, to set the total timeout of analyzeSentiment to 30 seconds:

 // 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.Builder languageServiceSettingsBuilder =
     LanguageServiceSettings.newBuilder();
 languageServiceSettingsBuilder
     .analyzeSentimentSettings()
     .setRetrySettings(
         languageServiceSettingsBuilder.analyzeSentimentSettings().getRetrySettings().toBuilder()
             .setTotalTimeout(Duration.ofSeconds(30))
             .build());
 LanguageServiceSettings languageServiceSettings = languageServiceSettingsBuilder.build();
 

Builder for LanguageServiceSettings.

Represents part of speech information for a token.

Protobuf type google.cloud.language.v1beta2.PartOfSpeech

Represents part of speech information for a token.

Protobuf type google.cloud.language.v1beta2.PartOfSpeech

Represents a sentence in the input document.

Protobuf type google.cloud.language.v1beta2.Sentence

Represents a sentence in the input document.

Protobuf type google.cloud.language.v1beta2.Sentence

Represents the feeling associated with the entire text or entities in the text. Next ID: 6

Protobuf type google.cloud.language.v1beta2.Sentiment

Represents the feeling associated with the entire text or entities in the text. Next ID: 6

Protobuf type google.cloud.language.v1beta2.Sentiment

Represents an output piece of text.

Protobuf type google.cloud.language.v1beta2.TextSpan

Represents an output piece of text.

Protobuf type google.cloud.language.v1beta2.TextSpan

Represents the smallest syntactic building block of the text.

Protobuf type google.cloud.language.v1beta2.Token

Represents the smallest syntactic building block of the text.

Protobuf type google.cloud.language.v1beta2.Token

The content categories used for classification.

Protobuf enum google.cloud.language.v1beta2.ClassificationModelOptions.V2Model.ContentCategoriesVersion

The parse label enum for the token.

Protobuf enum google.cloud.language.v1beta2.DependencyEdge.Label

Ways of handling boilerplate detected in the document

Protobuf enum google.cloud.language.v1beta2.Document.BoilerplateHandling

The document types enum.

Protobuf enum google.cloud.language.v1beta2.Document.Type

Represents the text encoding that the caller uses to process the output. Providing an EncodingType is recommended because the API provides the beginning offsets for various outputs, such as tokens and mentions, and languages that natively use different text encodings may access offsets differently.

Protobuf enum google.cloud.language.v1beta2.EncodingType

The type of the entity. For most entity types, the associated metadata is a Wikipedia URL (wikipedia_url) and Knowledge Graph MID (mid). The table below lists the associated fields for entities that have different metadata.

Protobuf enum google.cloud.language.v1beta2.Entity.Type

The supported types of mentions.

Protobuf enum google.cloud.language.v1beta2.EntityMention.Type

The characteristic of a verb that expresses time flow during an event.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Aspect

The grammatical function performed by a noun or pronoun in a phrase, clause, or sentence. In some languages, other parts of speech, such as adjective and determiner, take case inflection in agreement with the noun.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Case

Depending on the language, Form can be categorizing different forms of verbs, adjectives, adverbs, etc. For example, categorizing inflected endings of verbs and adjectives or distinguishing between short and long forms of adjectives and participles

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Form

Gender classes of nouns reflected in the behaviour of associated words.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Gender

The grammatical feature of verbs, used for showing modality and attitude.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Mood

Count distinctions.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Number

The distinction between the speaker, second person, third person, etc.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Person

This category shows if the token is part of a proper name.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Proper

Reciprocal features of a pronoun.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Reciprocity

The part of speech tags enum.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Tag

Time reference.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Tense

The relationship between the action that a verb expresses and the participants identified by its arguments.

Protobuf enum google.cloud.language.v1beta2.PartOfSpeech.Voice