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86 lines
3.3 KiB
Text
86 lines
3.3 KiB
Text
NAME
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gcloud beta ml language analyze-sentiment - use Google Cloud Natural
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Language API to identify sentiments in a text
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SYNOPSIS
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gcloud beta ml language analyze-sentiment
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(--content=CONTENT | --content-file=CONTENT_FILE)
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[--content-type=CONTENT_TYPE; default="plain-text"]
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[--encoding-type=ENCODING_TYPE; default="utf8"] [--language=LANGUAGE]
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[GCLOUD_WIDE_FLAG ...]
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DESCRIPTION
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(BETA) Sentiment Analysis inspects the given text and identifies the
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prevailing emotional opinion within the text, especially to determine a
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writer's attitude as positive, negative, or neutral.
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Currently English, Spanish, Japanese, Chinese (Simplified and Traditional),
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French, German, Italian, Korean, and Portuguese are supported.
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EXAMPLES
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To analyze sentiment in raw content 'I love puppies.':
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$ gcloud beta ml language analyze-sentiment \
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--content='I love puppies.'
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To analyze sentiment in file 'myfile.txt':
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$ gcloud beta ml language analyze-sentiment \
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--content-file='myfile.txt'
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To analyze sentiment in a remote file 'gs://bucket_name/mycontent.html' for
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Japanese language using UTF-8 encoding:
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$ gcloud beta ml language analyze-sentiment \
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--content-file='gs://bucket_name/mycontent.html' \
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--content-type=HTML --encoding-type=utf8 --language=ja-JP
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REQUIRED FLAGS
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Exactly one of these must be specified:
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--content=CONTENT
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Specify input text on the command line. Useful for experiments, or
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for extremely short text.
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--content-file=CONTENT_FILE
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Specify a local file or Google Cloud Storage (format
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gs://bucket/object) file path containing the text to be analyzed.
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More useful for longer text or data output from another system.
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OPTIONAL FLAGS
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--content-type=CONTENT_TYPE; default="plain-text"
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Specify the format of the input text. CONTENT_TYPE must be one of:
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html, plain-text.
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--encoding-type=ENCODING_TYPE; default="utf8"
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The encoding type used by the API to calculate offsets. If set to none,
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encoding-dependent offsets will be set at -1. This is an optional flag
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only used for the entity mentions in results, and does not affect how
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the input is read or analyzed. ENCODING_TYPE must be one of: none,
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utf16, utf32, utf8.
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--language=LANGUAGE
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Specify the language of the input text. If omitted, the server will
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attempt to auto-detect. Both ISO (such as en or es) and BCP-47 (such as
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en-US or ja-JP) language codes are accepted.
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GCLOUD WIDE FLAGS
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These flags are available to all commands: --access-token-file, --account,
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--billing-project, --configuration, --flags-file, --flatten, --format,
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--help, --impersonate-service-account, --log-http, --project, --quiet,
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--trace-token, --user-output-enabled, --verbosity.
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Run $ gcloud help for details.
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API REFERENCE
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This command uses the language/v1beta2 API. The full documentation for this
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API can be found at: https://cloud.google.com/natural-language/
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NOTES
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This command is currently in beta and might change without notice. These
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variants are also available:
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$ gcloud ml language analyze-sentiment
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$ gcloud alpha ml language analyze-sentiment
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