Module google_api_proto::google::cloud::language::v2

Modules

• annotate_text_request
  Nested message and enum types in AnnotateTextRequest.
• document
  Nested message and enum types in Document.
• entity
  Nested message and enum types in Entity.
• entity_mention
  Nested message and enum types in EntityMention.
• language_service_client
  Generated client implementations.
• moderate_text_request
  Nested message and enum types in ModerateTextRequest.

Structs

• AnalyzeEntitiesRequest
  The entity analysis request message.
• AnalyzeEntitiesResponse
  The entity analysis response message.
• AnalyzeSentimentRequest
  The sentiment analysis request message.
• AnalyzeSentimentResponse
  The sentiment analysis response message.
• AnnotateTextRequest
  The request message for the text annotation API, which can perform multiple analysis types 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.
• 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 probability and mentions, with entities.
• EntityMention
  Represents a mention for an entity in the text. Currently, proper noun mentions are supported.
• ModerateTextRequest
  The document moderation request message.
• ModerateTextResponse
  The document moderation response message.
• Sentence
  Represents a sentence in the input document.
• Sentiment
  Represents the feeling associated with the entire text or entities in the text.
• TextSpan
  Represents a text span in the input document.

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.