googleapis.language.v1 library
Classes
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AnalyzeEntitiesRequest
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The entity analysis request message.
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AnalyzeEntitiesResponse
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The entity analysis response message.
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AnalyzeEntitySentimentRequest
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The entity-level sentiment analysis request message.
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AnalyzeEntitySentimentResponse
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The entity-level sentiment analysis response message.
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AnalyzeSentimentRequest
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The sentiment analysis request message.
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AnalyzeSentimentResponse
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The sentiment analysis response message.
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AnalyzeSyntaxRequest
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The syntax analysis request message.
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AnalyzeSyntaxResponse
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The syntax analysis response message.
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AnnotateTextRequest
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The request message for the text annotation API, which can perform multiple
analysis types (sentiment, entities, and syntax) in one call.
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AnnotateTextResponse
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The text annotations response message.
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ClassificationCategory
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Represents a category returned from the text classifier.
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ClassifyTextRequest
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The document classification request message.
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ClassifyTextResponse
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The document classification response message.
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DependencyEdge
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Represents dependency parse tree information for a token. (For more
information on dependency labels, see
http://www.aclweb.org/anthology/P13-2017
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Document
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################################################################ #
Represents the input to API methods.
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DocumentsResourceApi
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Entity
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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.
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EntityMention
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Represents a mention for an entity in the text. Currently, proper noun
mentions are supported.
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Features
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All available features for sentiment, syntax, and semantic analysis. Setting
each one to true will enable that specific analysis for the input.
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LanguageApi
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Provides natural language understanding technologies, such as sentiment
analysis, entity recognition, entity sentiment analysis, and other text
annotations, to developers.
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PartOfSpeech
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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
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Sentence
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Represents a sentence in the input document.
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Sentiment
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Represents the feeling associated with the entire text or entities in the
text.
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Status
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The
Status type defines a logical error model that is suitable for
different programming environments, including REST APIs and RPC APIs. It is
used by gRPC. Each Status message contains
three pieces of data: error code, error message, and error details. You can
find out more about this error model and how to work with it in the API
Design Guide.
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TextSpan
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Represents an output piece of text.
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Token
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Represents the smallest syntactic building block of the text.
