Method: googleapis.language.v1.documents.annotateText

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.

Arguments

Parameters
body

object ( AnnotateTextRequest )

Required.

Raised exceptions

Exceptions
ConnectionError
In case of a network problem (such as DNS failure or refused connection).
HttpError
If the response status is >= 400 (excluding 429 and 503).
TimeoutError
If a long-running operation takes longer to finish than the specified timeout limit.
TypeError
If an operation or function receives an argument of the wrong type.
ValueError
If an operation or function receives an argument of the right type but an inappropriate value. For example, a negative timeout.

Response

If successful, the response contains an instance of AnnotateTextResponse .

Subworkflow snippet

Some fields might be optional or required. To identify required fields, refer to the API documentation .

YAML

 - 
  
 annotateText 
 : 
  
 call 
 : 
  
 googleapis.language.v1.documents.annotateText 
  
 args 
 : 
  
 body 
 : 
  
 document 
 : 
  
 content 
 : 
  
 ... 
  
 gcsContentUri 
 : 
  
 ... 
  
 language 
 : 
  
 ... 
  
 type 
 : 
  
 ... 
  
 encodingType 
 : 
  
 ... 
  
 features 
 : 
  
 classifyText 
 : 
  
 ... 
  
 extractDocumentSentiment 
 : 
  
 ... 
  
 extractEntities 
 : 
  
 ... 
  
 extractEntitySentiment 
 : 
  
 ... 
  
 extractSyntax 
 : 
  
 ... 
  
 result 
 : 
  
 annotateTextResult 

JSON

 [ 
  
 { 
  
 "annotateText" 
 : 
  
 { 
  
 "call" 
 : 
  
 "googleapis.language.v1.documents.annotateText" 
 , 
  
 "args" 
 : 
  
 { 
  
 "body" 
 : 
  
 { 
  
 "document" 
 : 
  
 { 
  
 "content" 
 : 
  
 "..." 
 , 
  
 "gcsContentUri" 
 : 
  
 "..." 
 , 
  
 "language" 
 : 
  
 "..." 
 , 
  
 "type" 
 : 
  
 "..." 
  
 }, 
  
 "encodingType" 
 : 
  
 "..." 
 , 
  
 "features" 
 : 
  
 { 
  
 "classifyText" 
 : 
  
 "..." 
 , 
  
 "extractDocumentSentiment" 
 : 
  
 "..." 
 , 
  
 "extractEntities" 
 : 
  
 "..." 
 , 
  
 "extractEntitySentiment" 
 : 
  
 "..." 
 , 
  
 "extractSyntax" 
 : 
  
 "..." 
  
 } 
  
 } 
  
 }, 
  
 "result" 
 : 
  
 "annotateTextResult" 
  
 } 
  
 } 
 ] 
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