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Using Amazon Comprehend to Gain Valuable Insights from Text

Contents

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Introduction
Overview
Difficulty
Intermediate
Duration
20m
Students
19
Ratings
5/5
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Description

Using natural language processing (NLP) and machine learning, Amazon Comprehend allows you to gather valuable insights from text. This course explains how!

Learning Objectives

  • Learn the fundamentals of Amazon Comprehend
  • Learn the three main processing models used in Comprehend
  • Understand the features and benefits of the service

Intended Audience

This course has been designed to assist those new to Amazon Comprehend, and who are looking to learn more about how NLP and machine learning can be used to gain valuable business data to enhance your solutions.

Prerequisites

To get the most out of this course, you should have a basic awareness of machine learning and data analytics, but it's not essential.

Transcript

Hello, and welcome to this course, which is going to provide you with an insight into the Amazon Comprehend service. Using natural language processing, NLP, and machine learning, this service allows you to gather valuable insights from any text.

Before we start, I'd like to introduce myself. My name is Stuart Scott, and I'm the AWS Content Director here at Cloud Academy. Feel free to connect with me to ask any questions, using the details shown on the screen. Alternatively, you can always get in touch with us here at Cloud Academy, by sending an email to support@cloudacademy.com, where one of our cloud experts will reply to your question.

This course has been designed to assist those new to Amazon Comprehend, and who are looking to learn more about how NLP and machine learning can be used to gain valuable business data to enhance your solutions. The objective of this course is to provide you with an introductory understanding of what Amazon Comprehend is and some of its key features and benefits.

As a prerequisite to this course, it'd be beneficial to have a basic awareness of machine learning and data analytics, but it is not essential. Feedback on our courses here at Cloud Academy is valuable to both us as trainers and any students looking to take the same course in the future.

If you have any feedback, positive or negative, it would be greatly appreciated if you can contact support@cloudacademy.com. Please note that, at the time of writing this content, all course information was accurate. AWS implements hundreds of updates every month as a part of its ongoing drive to innovate and enhance its services. As a result, minor discrepancies may appear in the course content over time.

Here at Cloud Academy, we strive to keep our content up to date, in order to provide the best training available. So, if you notice any information that is outdated, please contact support@cloudacademy.com, and this would allow us to update the course during its next release cycle. Thank you.

About the Author
Avatar
Stuart Scott
AWS Content Director
Students
187352
Labs
1
Courses
158
Learning Paths
115

Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.

To date, Stuart has created 150+ courses relating to Cloud reaching over 180,000 students, mostly within the AWS category and with a heavy focus on security and compliance.

Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.

He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.

In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.

Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.