Module gapi_grpc::google::cloud::language::v1beta2

Modules

annotate_text_request
dependency_edge
document
entity
entity_mention
language_service_client	Generated client implementations.
part_of_speech

Structs

AnalyzeEntitiesRequest	The entity analysis request message.
AnalyzeEntitiesResponse	The entity analysis response message.
AnalyzeEntitySentimentRequest	The entity-level sentiment analysis request message.
AnalyzeEntitySentimentResponse	The entity-level sentiment analysis response message.
AnalyzeSentimentRequest	The sentiment analysis request message.
AnalyzeSentimentResponse	The sentiment analysis response message.
AnalyzeSyntaxRequest	The syntax analysis request message.
AnalyzeSyntaxResponse	The syntax analysis response message.
AnnotateTextRequest	The request message for the text annotation API, which can perform multiple analysis types (sentiment, entities, and syntax) in one call.
AnnotateTextResponse	The text annotations response message.
ClassificationCategory	Represents a category returned from the text classifier.
ClassifyTextRequest	The document classification request message.
ClassifyTextResponse	The document classification response message.
DependencyEdge	Represents dependency parse tree information for a token.
Document	Represents the input to API methods.
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.
EntityMention	Represents a mention for an entity in the text. Currently, proper noun mentions are supported.
PartOfSpeech	Represents part of speech information for a token.
Sentence	Represents a sentence in the input document.
Sentiment	Represents the feeling associated with the entire text or entities in the text. Next ID: 6
TextSpan	Represents an output piece of text.
Token	Represents the smallest syntactic building block of the text.

Enums

EncodingType

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.