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.doc_gen/cross-content/cross_EmrLongLivedCluster_Python_block.xml
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<?xml version="1.0" encoding="UTF-8"?> | ||
<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.5//EN" "file://zonbook/docbookx.dtd" [ | ||
<!ENTITY % phrases-shared SYSTEM "file://AWSShared/common/phrases-shared.ent"> | ||
%phrases-shared; | ||
]> | ||
<block> | ||
<para> | ||
This example application analyzes and stores customer feedback cards. Specifically, | ||
it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback | ||
from guests in various languages in the form of physical comment cards. That feedback | ||
is uploaded into the app through a web client. | ||
|
||
After an image of a comment card is uploaded, the following steps occur: | ||
</para> | ||
<itemizedlist> | ||
<listitem> | ||
<para>Text is extracted from the image using &TEXTRACT;.</para> | ||
</listitem> | ||
<listitem> | ||
<para>&CMP; determines the sentiment of the extracted text and its language.</para> | ||
</listitem> | ||
<listitem> | ||
<para>The extracted text is translated to French using &TSL;.</para> | ||
</listitem> | ||
<listitem> | ||
<para>&POL; synthesizes an audio file from the extracted text.</para> | ||
</listitem> | ||
</itemizedlist> | ||
<para> The full app can be deployed with the &CDK;. For source code and deployment | ||
instructions, see the project in <ulink | ||
url="https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/javascriptv3/example_code/cross-services/feedback-sentiment-analyzer"> | ||
GitHub</ulink>. </para> | ||
</block> |
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<?xml version="1.0" encoding="UTF-8"?> | ||
<!DOCTYPE chapter PUBLIC "-//OASIS//DTD DocBook XML V4.5//EN" "file://zonbook/docbookx.dtd" [ | ||
<!ENTITY % phrases-shared SYSTEM "file://AWSShared/common/phrases-shared.ent"> | ||
%phrases-shared; | ||
]> | ||
<block> | ||
<para> | ||
This example application analyzes and stores customer feedback cards. Specifically, | ||
it fulfills the need of a fictitious hotel in New York City. The hotel receives feedback | ||
from guests in various languages in the form of physical comment cards. That feedback | ||
is uploaded into the app through a web client. | ||
|
||
After an image of a comment card is uploaded, the following steps occur: | ||
</para> | ||
<itemizedlist> | ||
<listitem> | ||
<para>Text is extracted from the image using &TEXTRACT;.</para> | ||
</listitem> | ||
<listitem> | ||
<para>&CMP; determines the sentiment of the extracted text and its language.</para> | ||
</listitem> | ||
<listitem> | ||
<para>The extracted text is translated to French using &TSL;.</para> | ||
</listitem> | ||
<listitem> | ||
<para>&POL; synthesizes an audio file from the extracted text.</para> | ||
</listitem> | ||
</itemizedlist> | ||
<para> The full app can be deployed with the &CDK;. For source code and deployment | ||
instructions, see the project in <ulink | ||
url="https://github.com/awsdocs/aws-doc-sdk-examples/tree/main/ruby/cross_service_examples/feedback_sentiment_analyzer"> | ||
GitHub</ulink>. </para> | ||
</block> |
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# zexi 0.4.0 | ||
codebuild_CreateProject: | ||
title: Create an &ACB; project | ||
title_abbrev: Create a project | ||
synopsis: create an &ACB; project. | ||
category: | ||
languages: | ||
JavaScript: | ||
versions: | ||
- sdk_version: 3 | ||
github: javascriptv3/example_code/codebuild | ||
sdkguide: AWSJavaScriptSDK/v3/latest/client/codebuild/ | ||
excerpts: | ||
- description: Create a project. | ||
snippet_tags: | ||
- javascript.v3.codebuild.actions.CreateProject | ||
services: | ||
codebuild: {CreateProject} |
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