gcloud ml language analyze-sentiment

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.
OPTIONAL FLAGS
--content-type=CONTENT_TYPE; default="plain-text"
Specify the format of the input text. CONTENT_TYPE must 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_TYPE must 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 en or es) and BCP-47 (such as en-US or ja-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 help for details.

API REFERENCE
This command uses the language/v1 API. 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-sentiment
 
gcloud beta ml language analyze-sentiment