Class AnnotateTextRequest.Features.Builder (2.31.0)

public static final class AnnotateTextRequest.Features.Builder extends GeneratedMessageV3.Builder<AnnotateTextRequest.Features.Builder> implements AnnotateTextRequest.FeaturesOrBuilder

All available features for sentiment, syntax, and semantic analysis. Setting each one to true will enable that specific analysis for the input. Next ID: 12

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

Static Methods

getDescriptor()

public static final Descriptors.Descriptor getDescriptor()
Returns
TypeDescription
Descriptor

Methods

addRepeatedField(Descriptors.FieldDescriptor field, Object value)

public AnnotateTextRequest.Features.Builder addRepeatedField(Descriptors.FieldDescriptor field, Object value)
Parameters
NameDescription
fieldFieldDescriptor
valueObject
Returns
TypeDescription
AnnotateTextRequest.Features.Builder
Overrides

build()

public AnnotateTextRequest.Features build()
Returns
TypeDescription
AnnotateTextRequest.Features

buildPartial()

public AnnotateTextRequest.Features buildPartial()
Returns
TypeDescription
AnnotateTextRequest.Features

clear()

public AnnotateTextRequest.Features.Builder clear()
Returns
TypeDescription
AnnotateTextRequest.Features.Builder
Overrides

clearClassificationModelOptions()

public AnnotateTextRequest.Features.Builder clearClassificationModelOptions()

The model options to use for classification. Defaults to v1 options if not specified. Only used if classify_text is set to true.

.google.cloud.language.v1beta2.ClassificationModelOptions classification_model_options = 10;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

clearClassifyText()

public AnnotateTextRequest.Features.Builder clearClassifyText()

Classify the full document into categories. If this is true, the API will use the default model which classifies into a predefined taxonomy.

bool classify_text = 6;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

This builder for chaining.

clearExtractDocumentSentiment()

public AnnotateTextRequest.Features.Builder clearExtractDocumentSentiment()

Extract document-level sentiment.

bool extract_document_sentiment = 3;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

This builder for chaining.

clearExtractEntities()

public AnnotateTextRequest.Features.Builder clearExtractEntities()

Extract entities.

bool extract_entities = 2;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

This builder for chaining.

clearExtractEntitySentiment()

public AnnotateTextRequest.Features.Builder clearExtractEntitySentiment()

Extract entities and their associated sentiment.

bool extract_entity_sentiment = 4;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

This builder for chaining.

clearExtractSyntax()

public AnnotateTextRequest.Features.Builder clearExtractSyntax()

Extract syntax information.

bool extract_syntax = 1;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

This builder for chaining.

clearField(Descriptors.FieldDescriptor field)

public AnnotateTextRequest.Features.Builder clearField(Descriptors.FieldDescriptor field)
Parameter
NameDescription
fieldFieldDescriptor
Returns
TypeDescription
AnnotateTextRequest.Features.Builder
Overrides

clearModerateText()

public AnnotateTextRequest.Features.Builder clearModerateText()

Moderate the document for harmful and sensitive categories.

bool moderate_text = 11;

Returns
TypeDescription
AnnotateTextRequest.Features.Builder

This builder for chaining.

clearOneof(Descriptors.OneofDescriptor oneof)

public AnnotateTextRequest.Features.Builder clearOneof(Descriptors.OneofDescriptor oneof)
Parameter
NameDescription
oneofOneofDescriptor
Returns
TypeDescription
AnnotateTextRequest.Features.Builder
Overrides

clone()

public AnnotateTextRequest.Features.Builder clone()
Returns
TypeDescription
AnnotateTextRequest.Features.Builder
Overrides

getClassificationModelOptions()

public ClassificationModelOptions getClassificationModelOptions()

The model options to use for classification. Defaults to v1 options if not specified. Only used if classify_text is set to true.

.google.cloud.language.v1beta2.ClassificationModelOptions classification_model_options = 10;

Returns
TypeDescription
ClassificationModelOptions

The classificationModelOptions.

getClassificationModelOptionsBuilder()

public ClassificationModelOptions.Builder getClassificationModelOptionsBuilder()

The model options to use for classification. Defaults to v1 options if not specified. Only used if classify_text is set to true.

.google.cloud.language.v1beta2.ClassificationModelOptions classification_model_options = 10;

Returns
TypeDescription
ClassificationModelOptions.Builder

getClassificationModelOptionsOrBuilder()

public ClassificationModelOptionsOrBuilder getClassificationModelOptionsOrBuilder()

The model options to use for classification. Defaults to v1 options if not specified. Only used if classify_text is set to true.

.google.cloud.language.v1beta2.ClassificationModelOptions classification_model_options = 10;

Returns
TypeDescription
ClassificationModelOptionsOrBuilder

getClassifyText()

public boolean getClassifyText()

Classify the full document into categories. If this is true, the API will use the default model which classifies into a predefined taxonomy.

bool classify_text = 6;

Returns
TypeDescription
boolean

The classifyText.

getDefaultInstanceForType()

public AnnotateTextRequest.Features getDefaultInstanceForType()
Returns
TypeDescription
AnnotateTextRequest.Features

getDescriptorForType()

public Descriptors.Descriptor getDescriptorForType()
Returns
TypeDescription
Descriptor
Overrides

getExtractDocumentSentiment()

public boolean getExtractDocumentSentiment()

Extract document-level sentiment.

bool extract_document_sentiment = 3;

Returns
TypeDescription
boolean

The extractDocumentSentiment.

getExtractEntities()

public boolean getExtractEntities()

Extract entities.

bool extract_entities = 2;

Returns
TypeDescription
boolean

The extractEntities.

getExtractEntitySentiment()

public boolean getExtractEntitySentiment()

Extract entities and their associated sentiment.

bool extract_entity_sentiment = 4;

Returns
TypeDescription
boolean

The extractEntitySentiment.