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In this article, I demonstrate how the key phrase extraction feature, offered by the Azure AI Language service, can be used to generate a list of key phrases within Optimizely CMS as part of the content publishing process.
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In this article, I demonstrate how extractive summarisation, provided by the Azure AI Language platform, can be leveraged to produce a set of summary sentences within the Optimizely CMS, when content is being published.
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In this article, I show how the abstraction summarisation feature provided by the Azure AI Language platform, can be used within Optimizely CMS to generate a summarised sentence or a list of summarised sentences, when publishing content.
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In this article, I show how the Azure AI Language service’s language detection feature can be used to identify the language of content on an Optimizely CMS content type during the publishing process. This allows us to verify if the content matches the current language branch of a page in Optimizely CMS.
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This article will explore the demonstration of creating alpha matte images, when an image is uploaded to Optimizely CMS. This will be achieved using the foreground matting feature provided by the Azure AI Vision service.
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This article will explore the demonstration of background removal of images, when an image is uploaded to Optimizely CMS.
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In this article, I demonstrate how the text translation feature, offered by the Azure AI Text Translation service, can be used to translate text entered on a string property that is in the process of being published on the page within Optimizely CMS.
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by the Azure AI Content Safety service, can be used to moderate images which are being uploaded within Optimizely CMS.
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In this article, I demonstrate how the text moderation feature from Azure AI Content Safety service can be used to filter text on multiple string properties, using a blocklist to identify harmful or unwanted content. This is done as part of the content publishing process within Optimizely CMS.
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In this article, I demonstrate how the text moderation feature from Azure AI Content Safety service can be used to filter text on a string property, using a blocklist to identify harmful or unwanted content.