API documentation for language_v2.types package.
Classes
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.
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 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.