CloudNaturalLanguageAnalyzeEntitySentimentOperator
GoogleFinds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
Access Instructions
Install the Google provider package into your Airflow environment.
Import the module into your DAG file and instantiate it with your desired params.
Parameters
documentRequiredInput document. If a dict is provided, it must be of the same form as the protobuf message Document
encoding_typeThe encoding type used by the API to calculate offsets.
retryA retry object used to retry requests. If None is specified, requests will not be retried.
timeoutThe amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.
metadataAdditional metadata that is provided to the method.
gcp_conn_idThe connection ID to use connecting to Google Cloud.
impersonation_chainOptional service account to impersonate using short-term credentials, or chained list of accounts required to get the access_token of the last account in the list, which will be impersonated in the request. If set as a string, the account must grant the originating account the Service Account Token Creator IAM role. If set as a sequence, the identities from the list must grant Service Account Token Creator IAM role to the directly preceding identity, with first account from the list granting this role to the originating account (templated).
Documentation
Finds entities, similar to AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.
See also
For more information on how to use this operator, take a look at the guide: Analyzing Entity Sentiment