Module googapis::google::cloud::language::v1 [−][src]
Modules
Nested message and enum types in AnnotateTextRequest.
Nested message and enum types in DependencyEdge.
Nested message and enum types in Document.
Nested message and enum types in Entity.
Nested message and enum types in EntityMention.
Generated client implementations.
Nested message and enum types in PartOfSpeech.
Structs
The entity analysis request message.
The entity analysis response message.
The entity-level sentiment analysis request message.
The entity-level sentiment analysis response message.
The sentiment analysis request message.
The sentiment analysis response message.
The syntax analysis request message.
The syntax analysis response message.
The request message for the text annotation API, which can perform multiple analysis types (sentiment, entities, and syntax) in one call.
The text annotations response message.
Represents a category returned from the text classifier.
The document classification request message.
The document classification response message.
Represents dependency parse tree information for a token. (For more information on dependency labels, see http://www.aclweb.org/anthology/P13-2017
Represents the input to API methods.
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.
Represents a mention for an entity in the text. Currently, proper noun mentions are supported.
Represents part of speech information for a token. Parts of speech are as defined in http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf
Represents a sentence in the input document.
Represents the feeling associated with the entire text or entities in the text.
Represents an output piece of text.
Represents the smallest syntactic building block of the text.
Enums
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.