[ 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>]
[--cli-auto-prompt <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.

--cli-auto-prompt (boolean) Automatically prompt for CLI input parameters.

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.