Detecting unwanted content using machine-assisted content moderation

From the creator

For any website or service that accepts content from users, it's important to have that material reviewed to filter out any offensive content. The Content Moderator platform provides us with a set of APIs for monitoring possible offensive, undesirable, and risky content. In this episode, Sanjeev Jagtap (@SanjeevJagtap) joins us to discus how we can leverage the Content Moderator platform and its collection of APIs to help detect potential unwanted content in our .NET applications. 00:47 - How does CNTK relate to the Content Moderator? 02:36 - What are some use cases for Content Moderator? 05:30 - Overview of the Content Moderator platform? 010:15 - Image moderation demo 12:50 - Text moderation demo 15:22 - Review API overview 17:40 - How to you get started with Content Moderator? Useful Links: Content Moderator homepage: https://azure.microsoft.com/en-us/services/cognitive-services/content-moderator/?WT.mc_id=ondotnet-channel9-cephilli Content Moderator documentation: https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/overview?WT.mc_id=docs-twitter-cephilli Content Moderator SDK and Samples: https://docs.microsoft.com/en-us/azure/cognitive-services/content-moderator/sdk-and-samples?WT.mc_id=ondotnet-channel9-cephilli Machine-assisted content moderation at scale webinar: https://na01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fevent.on24.com%2FutilApp%2Fdownload%3Fpath%3Dhttp%3A%2F%2Fevent.on24.com%2Fevent%2F15%2F94%2F84%2F6%2Frt%2F1_A881AF79CB1

Published 2018-07-24 · Watch on YouTube ↗
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