AWS whitepapers documentation change
Summary
Archived the whitepaper and removed outdated content guidelines
Security assessment
Change marks the document as archived without addressing security vulnerabilities or adding security content
Diff
diff --git a/whitepapers/latest/moderating-image-content-in-slack/moderating-image-content-in-slack.md b/whitepapers/latest/moderating-image-content-in-slack/moderating-image-content-in-slack.md index ce02c9072..7090d1c6c 100644 --- a//whitepapers/latest/moderating-image-content-in-slack/moderating-image-content-in-slack.md +++ b//whitepapers/latest/moderating-image-content-in-slack/moderating-image-content-in-slack.md @@ -5,2 +4,0 @@ -About this guide - @@ -9,18 +7 @@ About this guide -Initial publication date: **April 14 2021** - -## About this guide - -This technical guide shows you how to use [Amazon Rekognition ](https://aws.amazon.com/rekognition) and [Amazon AppFlow](https://aws.amazon.com/appflow/) to build a fully serverless content moderation pipeline for messages posted in a [Slack](https://slack.com/) channel. The content moderation strategy in this guide identifies images that violate sample chosen guidelines: - -Images that contain themes of tobacco or alcohol. - -Images that contain the following disallowed words: - - * medical - - * private - - - - -These guidelines can be configured to fit your requirements. +**Notice: This whitepaper has been archived. For the latest in Amazon Rekognition and Amazon AppFlow, visit the[Amazon Rekognition](https://docs.aws.amazon.com/rekognition/) and [Amazon AppFlow](https://docs.aws.amazon.com/appflow/) documentation. ** @@ -34,2 +14,0 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Overview -