[ aws . comprehend ]

detect-sentiment

Description

Inspects text and returns an inference of the prevailing sentiment (POSITIVE , NEUTRAL , MIXED , or NEGATIVE ).

See also: AWS API Documentation

See ‘aws help’ for descriptions of global parameters.

Synopsis

  detect-sentiment
--text <value>
--language-code <value>
[--cli-input-json | --cli-input-yaml]
[--generate-cli-skeleton <value>]

Options

--text (string)

A UTF-8 text string. Each string must contain fewer that 5,000 bytes of UTF-8 encoded characters.

--language-code (string)

The language of the input documents. You can specify any of the primary languages supported by Amazon Comprehend. All documents must be in the same language.

Possible values:

  • en

  • es

  • fr

  • de

  • it

  • pt

  • ar

  • hi

  • ja

  • ko

  • zh

  • zh-TW

--cli-input-json | --cli-input-yaml (string) Reads arguments from the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, those values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally. This may not be specified along with --cli-input-yaml.

--generate-cli-skeleton (string) Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value input, prints a sample input JSON that can be used as an argument for --cli-input-json. Similarly, if provided yaml-input it will print a sample input YAML that can be used with --cli-input-yaml. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command. The generated JSON skeleton is not stable between versions of the AWS CLI and there are no backwards compatibility guarantees in the JSON skeleton generated.

See ‘aws help’ for descriptions of global parameters.

Output

Sentiment -> (string)

The inferred sentiment that Amazon Comprehend has the highest level of confidence in.

SentimentScore -> (structure)

An object that lists the sentiments, and their corresponding confidence levels.

Positive -> (float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the POSITIVE sentiment.

Negative -> (float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEGATIVE sentiment.

Neutral -> (float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the NEUTRAL sentiment.

Mixed -> (float)

The level of confidence that Amazon Comprehend has in the accuracy of its detection of the MIXED sentiment.