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The Applied AI and Natural Language Processing Workshop

You're reading from   The Applied AI and Natural Language Processing Workshop Explore practical ways to transform your simple projects into powerful intelligent applications

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781800208742
Length 384 pages
Edition 1st Edition
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Authors (3):
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Ruze Richards Ruze Richards
Author Profile Icon Ruze Richards
Ruze Richards
Krishna Sankar Krishna Sankar
Author Profile Icon Krishna Sankar
Krishna Sankar
Jeffrey Jackovich Jeffrey Jackovich
Author Profile Icon Jeffrey Jackovich
Jeffrey Jackovich
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Toc

Table of Contents (8) Chapters Close

Preface
1. An Introduction to AWS 2. Analyzing Documents and Text with Natural Language Processing FREE CHAPTER 3. Topic Modeling and Theme Extraction 4. Conversational Artificial Intelligence 5. Using Speech with the Chatbot 6. Computer Vision and Image Processing Appendix

1. An Introduction to AWS

Activity 1.01: Putting the Data into S3 with the CLI

Solution:

  1. Verify the configuration is correct by executing aws s3 ls to output your bucket name (the bucket name will be unique):

    Figure 1.46: Command line showing the list of files in an S3 bucket

    Note

    The list you will see maybe a little different from the preceding screenshot. It depends on what activities or exercises you have done; you might see a few more files in S3.

  2. Let's create a new S3 bucket. mb is the command for creating a bucket:
    aws s3 mb s3://lesson1-text-files-20200217

    Figure 1.47: Command to create an S3 bucket

    If it is successful, you will see the make_bucket : message.

    Note

    Your bucket name needs to be unique, so it is easier to append YYYYMMDD to the name (or something similar) to make it so. You will see this technique in later chapters as well. If you take a look at the earlier ls command, you will see the bucket names used — even used YYYYMMDDHHMM to ensure the...

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