- NAME
-
- gcloud ml language analyze-sentiment - use Google Cloud Natural Language API to identify sentiments in a text
- SYNOPSIS
-
-
gcloud ml language analyze-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
- Sentiment Analysis inspects the given text and identifies the prevailing
emotional opinion within the text, especially to determine a writer's attitude
as positive, negative, or neutral.
Currently English, Spanish, and Japanese are supported.
- EXAMPLES
- To analyze sentiment in raw content 'I love puppies.':
gcloud ml language analyze-sentiment --content = 'I love puppies.'To analyze sentiment in file 'myfile.txt':
gcloud ml language analyze-sentiment --content-file = 'myfile.txt'To analyze sentiment in a remote file 'gs://bucket_name/mycontent.html' for Japanese language using UTF-8 encoding:
gcloud ml language analyze-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 extremely short 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_TYPEmust be 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 an optional flag only used for the entity mentions in results, and does not affect how the input is read or analyzed.ENCODING_TYPEmust be one of:none,utf16,utf32,utf8. -
--language=LANGUAGE - Specify the language of the input text. If omitted, the server will attempt to
auto-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/v1API. The full documentation for this API can be found at: https://cloud.google.com/natural-language/ - NOTES
- These variants are also available:
gcloud alpha ml language analyze-sentimentgcloud beta ml language analyze-sentiment
gcloud ml language analyze-sentiment
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License , and code samples are licensed under the Apache 2.0 License . For details, see the Google Developers Site Policies . Java is a registered trademark of Oracle and/or its affiliates.
Last updated 2026-05-27 UTC.
