Apply machine learning models to reveal the structure and meaning of text.

View and manage your data across Google Cloud Platform services.

AnalyzeEntitiesRequest: The entity analysis request message.

AnalyzeEntitiesResponse: The entity 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.

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.

EntityMention: Represents a mention for an entity in the text.

Features: All available features for sentiment, syntax, and semantic analysis.

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.

Status: The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs.

TextSpan: Represents an output piece of text.

Token: Represents the smallest syntactic building block of the text.