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[ aws . connect-contact-lens ]

list-realtime-contact-analysis-segments

Description

Provides a list of analysis segments for a real-time analysis session.

See also: AWS API Documentation

See 'aws help' for descriptions of global parameters.

Synopsis

  list-realtime-contact-analysis-segments
--instance-id <value>
--contact-id <value>
[--max-results <value>]
[--next-token <value>]
[--cli-input-json <value>]
[--generate-cli-skeleton <value>]

Options

--instance-id (string)

The identifier of the Amazon Connect instance.

--contact-id (string)

The identifier of the contact.

--max-results (integer)

The maximimum number of results to return per page.

--next-token (string)

The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.

--cli-input-json (string) Performs service operation based on the JSON string provided. The JSON string follows the format provided by --generate-cli-skeleton. If other arguments are provided on the command line, the CLI 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.

--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. If provided with the value output, it validates the command inputs and returns a sample output JSON for that command.

See 'aws help' for descriptions of global parameters.

Output

Segments -> (list)

An analyzed transcript or category.

(structure)

An analyzed segment for a real-time analysis session.

Transcript -> (structure)

The analyzed transcript.

Id -> (string)

The identifier of the transcript.

ParticipantId -> (string)

The identifier of the participant.

ParticipantRole -> (string)

The role of participant. For example, is it a customer, agent, or system.

Content -> (string)

The content of the transcript.

BeginOffsetMillis -> (integer)

The beginning offset in the contact for this transcript.

EndOffsetMillis -> (integer)

The end offset in the contact for this transcript.

Sentiment -> (string)

The sentiment of the detected for this piece of transcript.

IssuesDetected -> (list)

List of positions where issues were detected on the transcript.

(structure)

Potential issues that are detected based on an artificial intelligence analysis of each turn in the conversation.

CharacterOffsets -> (structure)

The offset for when the issue was detected in the segment.

BeginOffsetChar -> (integer)

The beginning of the issue.

EndOffsetChar -> (integer)

The end of the issue.

Categories -> (structure)

The matched category rules.

MatchedCategories -> (list)

The category rules that have been matched in the analyzed segment.

(string)

MatchedDetails -> (map)

The category rule that was matched and when it occurred in the transcript.

key -> (string)

value -> (structure)

Provides information about the category rule that was matched.

PointsOfInterest -> (list)

The section of audio where the category rule was detected.

(structure)

The section of the contact audio where that category rule was detected.

BeginOffsetMillis -> (integer)

The beginning offset in milliseconds where the category rule was detected.

EndOffsetMillis -> (integer)

The ending offset in milliseconds where the category rule was detected.

NextToken -> (string)

If there are additional results, this is the token for the next set of results. If response includes nextToken there are two possible scenarios:

  • There are more segments so another call is required to get them.
  • There are no more segments at this time, but more may be available later (real-time analysis is in progress) so the client should call the operation again to get new segments.

If response does not include nextToken , the analysis is completed (successfully or failed) and there are no more segments to retrieve.