ConMod freshness

Author: PatrickFarley

articles/cognitive-services/Content-Moderator/image-moderation-api.md

@@ -1,22 +1,22 @@
 ---
 title: Image Moderation - Content Moderator
 titleSuffix: Azure Cognitive Services
-description: Use Content Moderator’s machine-assisted image moderation and human-in-the-loop Review tool to moderate images for adult and racy content.
+description: Use Content Moderator's machine-assisted image moderation and human-in-the-loop Review tool to moderate images for adult and racy content.
 services: cognitive-services
 author: PatrickFarley
 manager: nitinme
 
 ms.service: cognitive-services
 ms.subservice: content-moderator
 ms.topic: conceptual
-ms.date: 01/10/2019
+ms.date: 04/14/2020
 ms.author: pafarley
 
 ---
 
 # Learn image moderation concepts
 
-Use Content Moderator’s machine-assisted image moderation and [human-in-the-loop Review tool](Review-Tool-User-Guide/human-in-the-loop.md) to moderate images for adult and racy content. Scan images for text content and extract that text, and detect faces. You can match images against custom lists, and take further action.
+Use Content Moderator's machine-assisted image moderation and [human-in-the-loop Review tool](Review-Tool-User-Guide/human-in-the-loop.md) to moderate images for adult and racy content. Scan images for text content and extract that text, and detect faces. You can match images against custom lists, and take further action.
 
 ## Evaluating for adult and racy content
 
@@ -136,9 +136,9 @@ Example extract:
     ....
     }
 
-## Human review tool
+## Review tool
 
-For more nuanced cases, use the Content Moderator [review tool](Review-Tool-User-Guide/human-in-the-loop.md) and its API to surface the moderation results and content in the review for your human moderators. They review the machine-assigned tags and confirm their final decisions.
+For more nuanced cases, use the Content Moderator [Review tool](Review-Tool-User-Guide/human-in-the-loop.md) and its API to surface the moderation results and content in the review for your human moderators. They review the machine-assigned tags and confirm their final decisions.
 
 ![Image review for human moderators](images/moderation-reviews-quickstart-dotnet.PNG)
 

articles/cognitive-services/Content-Moderator/overview.md

@@ -9,7 +9,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: content-moderator
 ms.topic: overview
-ms.date: 12/05/2019
+ms.date: 04/14/2020
 ms.author: pafarley
 
 #Customer intent: As a developer of content management software, I want to find out whether Azure Content Moderator is the right solution for my moderation needs.
@@ -36,7 +36,7 @@ The following are a few scenarios in which a software developer or team would us
 
 ## What it includes
 
-The Content Moderator service consists of several web service APIs available through both REST calls and a .NET SDK. It also includes the human review tool, which allows human reviewers to aid the service and improve or fine-tune its moderation function.
+The Content Moderator service consists of several web service APIs available through both REST calls and a .NET SDK. It also includes the Review tool, which allows human reviewers to aid the service and improve or fine-tune its moderation function.
 
 ## Moderation APIs
 
@@ -63,11 +63,11 @@ The Review APIs let you integrate your moderation pipeline with human reviewers.
 
 ![block diagram for Content Moderator review APIs](images/content-moderator-rev-api.png)
 
-## The Review tool
+## Review tool
 
 The Content Moderator service also includes the web-based [Review tool](Review-Tool-User-Guide/human-in-the-loop.md), which hosts the content reviews for human moderators to process. The human input doesn't train the service, but the combined work of the service and human review teams allows developers to strike the right balance between efficiency and accuracy. The Review tool also provides a user-friendly front end for several Content Moderator resources.
 
-![Content Moderator human review tool homepage](images/homepage.PNG)
+![Content Moderator Review tool homepage](images/homepage.PNG)
 
 ## Data privacy and security
 

articles/cognitive-services/Content-Moderator/video-moderation-human-review.md

@@ -1,21 +1,21 @@
 ---
 title: Video moderation with human review - Content Moderator
 titleSuffix: Azure Cognitive Services
-description: Use machine-assisted video moderation and human review tools to moderate inappropriate content
+description: Use machine-assisted video moderation and the Review tool to moderate inappropriate content
 services: cognitive-services
 author: PatrickFarley
 manager: nitinme
 
 ms.service: cognitive-services
 ms.subservice: content-moderator
 ms.topic: conceptual
-ms.date: 04/30/2019
+ms.date: 04/14/2020
 ms.author: pafarley
 ---
 
 # Video moderation with human review
 
-Use Content Moderator's machine-assisted [video moderation](video-moderation-api.md) and [human review tool](Review-Tool-User-Guide/human-in-the-loop.md) to moderate videos and transcripts for adult (explicit) and racy (suggestive) content to get the best results for your business.
+Use Content Moderator's machine-assisted [video moderation](video-moderation-api.md) and [Review tool](Review-Tool-User-Guide/human-in-the-loop.md) to moderate videos and transcripts for adult (explicit) and racy (suggestive) content to get the best results for your business.
 
 ## Video-trained classifier (preview)
 

articles/cognitive-services/Content-Moderator/video-transcript-moderation-review-tutorial-dotnet.md

@@ -9,7 +9,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: content-moderator
 ms.topic: tutorial
-ms.date: 12/05/2019
+ms.date: 04/14/2020
 ms.author: pafarley
 
 ---
@@ -224,7 +224,7 @@ A transcription of the audio from the video is also produced when the `GenerateV
 
 ## Create a human review
 
-The moderation process returns a list of key frames from the video, along with a transcript of its audio tracks. The next step is to create a review in the Content Moderator review tool for human moderators. Going back to the `ProcessVideo()` method in `Program.cs`, you see the call to the `CreateVideoReviewInContentModerator()` method. This method is in the `videoReviewApi` class, which is in `VideoReviewAPI.cs`, and is shown here.
+The moderation process returns a list of key frames from the video, along with a transcript of its audio tracks. The next step is to create a review in the Content Moderator Review tool for human moderators. Going back to the `ProcessVideo()` method in `Program.cs`, you see the call to the `CreateVideoReviewInContentModerator()` method. This method is in the `videoReviewApi` class, which is in `VideoReviewAPI.cs`, and is shown here.
 
 [!code-csharp[CreateVideoReviewInContentModerator](~/VideoReviewConsoleApp/Microsoft.ContentModerator.AMSComponent/AMSComponentClient/VideoReviewAPI.cs?range=42-69)]
 
@@ -296,7 +296,7 @@ First, initialize all variables and collections.
 
 ### Parse the transcript for captions
 
-Next, parse the VTT formatted transcript for captions and timestamps. The review tool displays these captions in the Transcript Tab on the video review screen. The timestamps are used to sync the captions with the corresponding video frames.
+Next, parse the VTT formatted transcript for captions and timestamps. The Review tool displays these captions in the Transcript Tab on the video review screen. The timestamps are used to sync the captions with the corresponding video frames.
 
 [!code-csharp[TextScreen2](~/VideoReviewConsoleApp/Microsoft.ContentModerator.AMSComponent/AMSComponentClient/VideoReviewAPI.cs?range=528-567)]