API documentation for language_v1beta2.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.
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.
Values:
NONE (0):
If EncodingType is not specified, encoding-dependent
information (such as begin_offset) will be set at
-1.
UTF8 (1):
Encoding-dependent information (such as begin_offset) is
calculated based on the UTF-8 encoding of the input. C++ and
Go are examples of languages that use this encoding
natively.
UTF16 (2):
Encoding-dependent information (such as begin_offset) is
calculated based on the UTF-16 encoding of the input. Java
and JavaScript are examples of languages that use this
encoding natively.
UTF32 (3):
Encoding-dependent information (such as begin_offset) is
calculated based on the UTF-32 encoding of the input. Python
is an example of a language that uses this encoding
natively.
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.