Deprecated: This API will be retired Tuesday, 10 Oct 2023 00:00:00 GMT. We recommend you replace this API with the batch API, BatchDetectLanguageSentiments.

The DetectLanguageSentiments API extracts aspect-based in text records.

For aspect-based sentiment analysis, a set of aspects and their respective sentiment is returned.

For sentiment analysis, confidence scores are provided for each of the classes (positive, negative, neutral).

Learn more about sentiment analysis here.

Limitations: - A record may be up to 1000 characters long.


oci ai language detect-sentiments [OPTIONS]

Required Parameters

--text [text]

Document text for detect sentiments.

Optional Parameters

--from-json [text]

Provide input to this command as a JSON document from a file using the file://path-to/file syntax.

The --generate-full-command-json-input option can be used to generate a sample json file to be used with this command option. The key names are pre-populated and match the command option names (converted to camelCase format, e.g. compartment-id –> compartmentId), while the values of the keys need to be populated by the user before using the sample file as an input to this command. For any command option that accepts multiple values, the value of the key can be a JSON array.

Options can still be provided on the command line. If an option exists in both the JSON document and the command line then the command line specified value will be used.

For examples on usage of this option, please see our “using CLI with advanced JSON options” link:

Example using required parameter

Copy the following CLI commands into a file named Run the command by typing “bash” and replacing the example parameters with your own.

Please note this sample will only work in the POSIX-compliant bash-like shell. You need to set up the OCI configuration and appropriate security policies before trying the examples.

    export text=<substitute-value-of-text> #

    oci ai language detect-sentiments --text $text