- Lab
- Cloud
Using AWS Step Functions to Categorize Uploaded Data
AWS Step Functions is a powerful service that lets you build and orchestrate different AWS services to construct state machines. This can be done with almost any AWS API action, and with little-to-no code. In this lab, we're going to build a Step Functions state machine to process an MP3 call recording, determine the sentiment of the conversation, and take a different action depending on the analysis.
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Table of Contents
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Challenge
Create the Step Function State Machine
Create a new Step Function State Machine using the
step-functions-execution-roleprovided as part of the hands-on lab environment. -
Challenge
Implement Amazon Transcribe to the State Machine
Add the necessary steps to the workflow to enable Amazon Transcribe to create a transcription job, and wait until the transcription is completed.
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Challenge
Implement Amazon Comprehend to the State Machine
With the transcription job finished, collect the transcript from S3, parse out the data, and pass it through to Amazon Comprehend to detect the sentiment of the conversation.
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Challenge
Develop a Choice state based on Sentiment
Depending on the sentiment of the conversation, trigger the provided
NegativeInteractionAWS Lambda Function for negative sentiment, or send a message to thePositiveInteractionQueuein Amazon SQS for positive sentiment. Neutral sentiment requires no action.
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