Conclusion
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Well done on making it this far! You started this lesson by first understanding text moderation in detail and why it’s so important. Later, you explored the text moderation solution offered by the Azure Content Safety team and also learned all the technical aspects of implementing it. Then, you explored how to use Azure Content Safety Studio to test content moderation API for text moderation. Finally, you implemented a text moderation code in the Python notebook to be used in the sample app of this module, Fooder.
The key takeaways from this lesson are:
- Understanding what text moderation is, and why it’s essential for domains like social media, e-commerce, etc.
- Learning how to setup an Azure account and content safety resource.
- Exploring the text moderation API provided by the Azure Content Safety team and all the possible customizations to enhance the moderation systems.
- Understanding what Azure Content Safety Studio is, and how to use it to test text moderation APIs quickly.
- Understanding how to use content safety Rest API and python SDK to make a text analyze request to Azure content safety resource.
In the next lesson, you’ll learn about image moderation and how to implement it using Azure Safety Content API.