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Extract Insights from Transcribed Text
In this hands-on lab, you’ll use Amazon Comprehend to analyze text stored in S3. You’ll prepare the data, launch sentiment, entity, and key phrase analysis jobs, and evaluate the results. This exercise helps you understand how to extract insights from unstructured text using AWS-managed NLP tools.
Lab Info
Table of Contents
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Challenge
Before starting transcription, you’ll discover how to organize and store media and output files in a way that aligns with Amazon Transcribe’s requirements.
Prepare the environment needed for transcription and gain practical skills working with Amazon S3 and asynchronous command-line operations.
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Challenge
You’ll explore how to initiate and monitor transcription using AWS CloudShell
Learn how to start an asynchronous Amazon Transcribe job, provide required parameters, and track its status using command-line operations within CloudShell.
Real skill practice before real-world application
Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.
Learn by doing
Engage hands-on with the tools and technologies you’re learning. You pick the skill, we provide the credentials and environment.
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All labs have detailed instructions and objectives, guiding you through the learning process and ensuring you understand every step.
Turn time into mastery
On average, you retain 75% more of your learning if you take time to practice. Hands-on labs set you up for success to make those skills stick.