Package types (2.6.1)

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API documentation for language_v1.types package.

Classes

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.

ClassificationModelOptions

Model options available for classification requests.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

ClassifyTextRequest

The document classification request message.

ClassifyTextResponse

The document classification response message.

DependencyEdge

Represents dependency parse tree information for a token. (For more information on dependency labels, see http://www.aclweb.org/anthology/P13-2017

Document

Represents the input to API methods.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.

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. Parts of speech are as defined in http://www.lrec-conf.org/proceedings/lrec2012/pdf/274_Paper.pdf

Sentence

Represents a sentence in the input document.

Sentiment

Represents the feeling associated with the entire text or entities in the text.

TextSpan

Represents an output piece of text.

Token

Represents the smallest syntactic building block of the text.