gcloud beta ml language analyze-entity-sentiment Stay organized with collections Save and categorize content based on your preferences.
- NAME
- gcloud beta ml language analyze-entity-sentiment - use Google Cloud Natural Language API to identify entity-level sentiment
- SYNOPSIS
gcloud beta ml language analyze-entity-sentiment(--content=CONTENT|--content-file=CONTENT_FILE)[--content-type=CONTENT_TYPE; default="plain-text"][--encoding-type=ENCODING_TYPE; default="utf8"][--language=LANGUAGE][GCLOUD_WIDE_FLAG …]
- DESCRIPTION
(BETA)Entity level sentiment combines both entity analysis andsentiment analysis and attempts to determine the sentiment (positive ornegative) expressed about entities within the text.Currently only English is supported for this feature.
- EXAMPLES
- To analyze entity sentiment in raw content 'puppies':
gcloudbetamllanguageanalyze-entity-sentiment--content='puppies'To analyze entity sentiment in file 'myfile.txt':
gcloudbetamllanguageanalyze-entity-sentiment--content-file='myfile.txt'To analyze entity sentiment in a remote file 'gs://bucket_name/mycontent.html'for Japanese language using UTF-8 encoding:
gcloudbetamllanguageanalyze-entity-sentiment--content-file='gs://bucket_name/mycontent.html'--content-type=HTML--encoding-type=utf8--language=ja-JP - REQUIRED FLAGS
- Exactly one of these must be specified:
--content=CONTENT- Specify input text on the command line. Useful for experiments, or for extremelyshort text.
--content-file=CONTENT_FILE- Specify a local file or Google Cloud Storage (format
gs://bucket/object) file path containing the text to be analyzed.More useful for longer text or data output from another system.
- Exactly one of these must be specified:
- OPTIONAL FLAGS
--content-type=CONTENT_TYPE; default="plain-text"- Specify the format of the input text.
CONTENT_TYPEmustbe one of:html,plain-text. --encoding-type=ENCODING_TYPE; default="utf8"- The encoding type used by the API to calculate offsets. If set to
none, encoding-dependent offsets will be set at -1. This is anoptional flag only used for the entity mentions in results, and does not affecthow the input is read or analyzed.ENCODING_TYPEmust beone of:none,utf16,utf32,utf8. --language=LANGUAGE- Specify the language of the input text. If omitted, the server will attempt toauto-detect. Both ISO (such as
enores) and BCP-47(such asen-USorja-JP) language codes are accepted.
- GCLOUD WIDE FLAGS
- These flags are available to all commands:
--access-token-file,--account,--billing-project,--configuration,--flags-file,--flatten,--format,--help,--impersonate-service-account,--log-http,--project,--quiet,--trace-token,--user-output-enabled,--verbosity.Run
$gcloud helpfor details. - API REFERENCE
- This command uses the
language/v1beta2API. The full documentationfor this API can be found at:https://cloud.google.com/natural-language/ - NOTES
- This command is currently in beta and might change without notice. Thesevariants are also available:
gcloudmllanguageanalyze-entity-sentimentgcloudalphamllanguageanalyze-entity-sentiment
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Last updated 2025-05-07 UTC.