transcribeservice_create_call_analytics_category: Creates a new Call Analytics category

View source: R/transcribeservice_operations.R

transcribeservice_create_call_analytics_categoryR Documentation

Creates a new Call Analytics category

Description

Creates a new Call Analytics category.

See https://www.paws-r-sdk.com/docs/transcribeservice_create_call_analytics_category/ for full documentation.

Usage

transcribeservice_create_call_analytics_category(
  CategoryName,
  Rules,
  Tags = NULL,
  InputType = NULL
)

Arguments

CategoryName

[required] A unique name, chosen by you, for your Call Analytics category. It's helpful to use a detailed naming system that will make sense to you in the future. For example, it's better to use sentiment-positive-last30seconds for a category over a generic name like test-category.

Category names are case sensitive.

Rules

[required] Rules define a Call Analytics category. When creating a new category, you must create between 1 and 20 rules for that category. For each rule, you specify a filter you want applied to the attributes of a call. For example, you can choose a sentiment filter that detects if a customer's sentiment was positive during the last 30 seconds of the call.

Tags

Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics category at the time you start this new job.

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

InputType

Choose whether you want to create a real-time or a post-call category for your Call Analytics transcription.

Specifying POST_CALL assigns your category to post-call transcriptions; categories with this input type cannot be applied to streaming (real-time) transcriptions.

Specifying REAL_TIME assigns your category to streaming transcriptions; categories with this input type cannot be applied to post-call transcriptions.

If you do not include InputType, your category is created as a post-call category by default.


paws.machine.learning documentation built on April 3, 2025, 8:41 p.m.