Merge pull request #199146 from aahill/fast-follow-updates-4

GitHubber17 · web-flow · commit c95a4057b0d6 · 2022-05-24T14:28:34.000-07:00
terminology updates for text classification include files
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/cancel-training.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/cancel-training.md
@@ -10,4 +10,4 @@ ms.author: aahi
 ---
 
 
-To cancel a training job in [Language Studio](https://aka.ms/laguageStudio), go to the **Train model** page. Select the training job you want to cancel, and click on **Cancel** from the top menu. 
+To cancel a training job in [Language Studio](https://aka.ms/laguageStudio), go to the **Training jobs** page. Select the training job you want to cancel, and click on **Cancel** from the top menu. 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/create-project.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/create-project.md
@@ -4,7 +4,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 04/22/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ms.custom: ignite-fall-2021, event-tier1-build-2022
 ---
@@ -16,7 +16,7 @@ ms.custom: ignite-fall-2021, event-tier1-build-2022
     :::image type="content" source="../../media/select-custom-text-classification.png" alt-text="A screenshot showing the location of custom text classification in the Language Studio landing page." lightbox="../../media/select-custom-text-classification.png":::
         
 
-3. Select **Create new project** from the top menu in your projects page. Creating a project will let you tag data, train, evaluate, improve, and deploy your models. 
+3. Select **Create new project** from the top menu in your projects page. Creating a project will let you label data, train, evaluate, improve, and deploy your models. 
 
     :::image type="content" source="../../media/create-project.png" alt-text="A screenshot of the project creation page." lightbox="../../media/create-project.png":::
 
@@ -34,14 +34,14 @@ ms.custom: ignite-fall-2021, event-tier1-build-2022
     
     :::image type="content" source="../../media/project-types.png" alt-text="A screenshot of the available custom classification project types." lightbox="../../media/project-types.png":::
 
-5. Enter the project information, including a name, description, and the language of the files in your project. You won’t be able to change the name of your project later. Click **Next**.
+5. Enter the project information, including a name, description, and the language of the documents in your project. You won’t be able to change the name of your project later. Click **Next**.
        
     >[!TIP]
     > Your dataset doesn't have to be entirely in the same language. You can have multiple documents, each with different supported languages. If your dataset contains documents of different languages or if you expect text from different languages during runtime, select **enable multi-lingual dataset** option when you enter the basic information for your project. This option can be enabled later from the **Project settings** page.
 
 6. Select the container where you have uploaded your dataset. 
     
     >[!Note]
-    > If you have already labeled your data make sure it follows the [supported format](../../concepts/data-formats.md) and click on **Yes, my files are already labels and I have formatted JSON labels file** and select the labels file from the drop-down menu below. Click **Next**.
+    > If you have already labeled your data make sure it follows the [supported format](../../concepts/data-formats.md) and click on **Yes, my documents are already labeled and I have formatted JSON labels file** and select the labels file from the drop-down menu below. Click **Next**.
     
 7. Review the data you entered and select **Create Project**.
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/delete-deployment.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/delete-deployment.md
@@ -5,8 +5,8 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 05/04/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
-To delete a deployment from within [Language Studio](https://aka.ms/laguageStudio), go to the **Deploy model** page. Select the deployment you want to delete and click on **Delete deployment** from the top menu. 
+To delete a deployment from within [Language Studio](https://aka.ms/laguageStudio), go to the **Deploying a model** page. Select the deployment you want to delete and click on **Delete deployment** from the top menu. 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/delete-model.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/delete-model.md
@@ -6,14 +6,14 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 05/05/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
 
 To delete your model from within the [Language Studio](https://aka.ms/LanguageStudio):
 
-1. Select **View model details** from the left side menu.
+1. Select **Model performance** from the left side menu.
 
 2. Click on the **model name** you want to delete and click **Delete** from the top menu.
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/delete-project.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/delete-project.md
@@ -5,8 +5,8 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 04/22/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
-When you don't need your project anymore, you can delete your project using [Language Studio](https://aka.ms/custom-classification). Select **Custom text classification** in the left navigation menu, then select the project you want to delete. Click on **Delete** from the top menu to delete the project.
+When you don't need your project anymore, you can delete your project using [Language Studio](https://aka.ms/custom-classification). Select **Custom text classification** in the top, then select the project you want to delete. Click on **Delete** from the top menu to delete the project.
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/deploy-model.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/deploy-model.md
@@ -5,16 +5,16 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 04/22/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
 
 To deploy your model from within the [Language Studio](https://aka.ms/LanguageStudio):
 
-1. Select **Deploy model** from the left side menu.
+1. Select **Deploying a model** from the left side menu.
 
-2. Click on **Start deployment job** to start a new deployment job.
+2. Click on **Add deployment** to start a new deployment job.
 
     :::image type="content" source="../../media/deploy-model.png" alt-text="A screenshot showing the deployment button" lightbox="../../media/deploy-model.png":::
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/import-project.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/import-project.md
@@ -7,7 +7,7 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 05/06/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
@@ -18,7 +18,7 @@ ms.author: aahi
     :::image type="content" source="../../media/select-custom-text-classification.png" alt-text="A screenshot showing the location of custom text classification in the Language Studio landing page." lightbox="../../media/select-custom-text-classification.png":::
         
 
-3. Select **Create new project** from the top menu in your projects page. Creating a project will let you tag data, train, evaluate, improve, and deploy your models. 
+3. Select **Create new project** from the top menu in your projects page. Creating a project will let you label data, train, evaluate, improve, and deploy your models. 
 
     :::image type="content" source="../../media/create-project.png" alt-text="A screenshot of the project creation page." lightbox="../../media/create-project.png":::
 
@@ -36,14 +36,14 @@ ms.author: aahi
     
     :::image type="content" source="../../media/project-types.png" alt-text="A screenshot of the available custom classification project types." lightbox="../../media/project-types.png":::
 
-5. Enter the project information, including a name, description, and the language of the files in your project. You won’t be able to change the name of your project later. Click **Next**.
+5. Enter the project information, including a name, description, and the language of the documents in your project. You won’t be able to change the name of your project later. Click **Next**.
        
     >[!TIP]
     > Your dataset doesn't have to be entirely in the same language. You can have multiple documents, each with different supported languages. If your dataset contains documents of different languages or if you expect text from different languages during runtime, select **enable multi-lingual dataset** option when you enter the basic information for your project. This option can be enabled later from the **Project settings** page.
 
 6. Select the container where you have uploaded your dataset. 
 
-7. Click on **Yes, my files are already labeled and I have formatted JSON labels file** and select the labels file from the drop-down menu below to import your JSON tags file. Make sure it follows the [supported format](../../concepts/data-formats.md).
+7. Click on **Yes, my documents are already labeled and I have formatted JSON labels file** and select the labels file from the drop-down menu below to import your JSON labels file. Make sure it follows the [supported format](../../concepts/data-formats.md).
 
 7.   Click **Next**.
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/model-evaluation.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/model-evaluation.md
@@ -11,7 +11,7 @@ ms.author: aahi
 
 1. Go to your project page in [Language Studio](https://aka.ms/languageStudio).
 
-2. Select **View model details** from the menu on the left side of the screen.
+2. Select **Model performance** from the menu on the left side of the screen.
 
 3. In this page you can only view the successfully trained models, F1 score for each model and [model expiration date](../../../concepts/model-lifecycle.md). You can click on the model name for more details about its performance.
 
@@ -20,5 +20,5 @@ ms.author: aahi
     :::image type="content" source="../../media/model-details-2.png" alt-text="A screenshot of the model performance metrics in Language Studio." lightbox="../../media/model-details-2.png":::
 
     > [!NOTE]
-    > Classes that are neither tagged nor predicted in the test set will not be part of the displayed results.
+    > Classes that are neither labeled nor predicted in the test set will not be part of the displayed results.
     
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/project-details.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/project-details.md
@@ -7,11 +7,11 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 05/06/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
-1. Go to your project settings page in [Language Studio](https://aka.ms/languageStudio).
+1. Go to your **project settings** page in [Language Studio](https://aka.ms/languageStudio).
 
 2. You can see project details.
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/swap-deployment.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/swap-deployment.md
@@ -13,7 +13,7 @@ ms.author: aahi
 
 To swap deployments from within [Language Studio](https://aka.ms/laguageStudio)
 
-1. In the **Deploy model** page, select the two deployments you want to swap and click on **Swap deployments** from the top menu. 
+1. In **Deploying a model** page, select the two deployments you want to swap and click on **Swap deployments** from the top menu. 
 
 2. From the window that appears, select the names of the deployments you want to swap.
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/test-model.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/test-model.md
@@ -5,22 +5,22 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 04/22/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ms.custom: language-service-custom-classification, event-tier1-build-2022
 ---
 
 To test your deployed models within [Language Studio](https://aka.ms/LanguageStudio):
 
-1. Select **Test model** from the menu on the left side of the screen.
+1. Select **Testing deployments** from the menu on the left side of the screen.
 
 2. Select the model you want to test. You can only test models that are assigned to deployments. 
 
 3. For multilingual projects, select the language of the text you're testing using the language dropdown.
 
 4. Select the deployment you want to query/test from the dropdown.
 
-5. Enter the text you want to submit in the request, or upload a `.txt` file to use.
+5. Enter the text you want to submit in the request, or upload a `.txt` document to use.
 
 6. Click on **Run the test** from the top menu.
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/train-model.md b/articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/train-model.md
@@ -5,14 +5,14 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 04/22/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ms.custom: language-service-custom-classification, event-tier1-build-2022
 ---
 
 To start training your model from within the [Language Studio](https://aka.ms/LanguageStudio):
 
-1. Select **Train model** from the left side menu.
+1. Select **Training jobs** from the left side menu.
 
 2. Select **Start a training job** from the top menu.
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/quickstarts/language-studio.md b/articles/cognitive-services/language-service/custom-text-classification/includes/quickstarts/language-studio.md
@@ -5,7 +5,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 04/14/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ms.custom: language-service-custom-classification, ignite-fall-2021, event-tier1-build-2022
 ---
@@ -37,7 +37,7 @@ Once your resource and storage container are configured, create a new custom tex
 
 ## Train your model
 
-Typically after you create a project, you go ahead and start [tagging the documents](../../how-to/tag-data.md) you have in the container connected to your project. For this quickstart, you have imported a sample tagged dataset and initialized your project with the sample JSON tags file.
+Typically after you create a project, you go ahead and start [labeling the documents](../../how-to/tag-data.md) you have in the container connected to your project. For this quickstart, you have imported a sample labeled dataset and initialized your project with the sample JSON labels file.
 
 [!INCLUDE [Train a model using Language Studio](../language-studio/train-model.md)]
 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/cancel-training.md b/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/cancel-training.md
@@ -5,12 +5,12 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 05/05/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
 
-Create a **POST** request using the following URL, headers, and JSON body to cancel a training job. 
+Create a **POST** request by using the following URL, headers, and JSON body to cancel a training job. 
 
 ### Request URL
 
@@ -24,8 +24,8 @@ Use the following URL when creating your API request. Replace the placeholder va
 |---------|---------|---------|
 |`{ENDPOINT}`     | The endpoint for authenticating your API request.   | `https://<your-custom-subdomain>.cognitiveservices.azure.com` |
 |`{PROJECT-NAME}`     | The name for your project. This value is case-sensitive.   | `EmailApp` |
-|`{JOB-ID}          | This is the training job ID|                                  |`XXXXX-XXXXX-XXXX-XX|
-|`{API-VERSION}`     | The version of the API you are calling. The value referenced here is for the latest version released. Learn more about other available [API versions](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data)  | `2022-03-01-preview` |
+|`{JOB-ID}`       | This value is the training job ID.|  `XXXXX-XXXXX-XXXX-XX`|
+|`{API-VERSION}`     | The version of the API you're calling. The value referenced is for the latest released [model version](../../../concepts/model-lifecycle.md#choose-the-model-version-used-on-your-data).  | `2022-03-01-preview` |
 
 ### Headers
 
@@ -35,4 +35,4 @@ Use the following header to authenticate your request.
 |--|--|
 |`Ocp-Apim-Subscription-Key`| The key to your resource. Used for authenticating your API requests.|
  
-Once you send your API request, you will receive a 204 response indicating success, which means your training job has been canceled.
+After you send your API request, you'll receive a 204 response indicating success, which means your training job has been canceled.
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/create-project.md b/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/create-project.md
@@ -4,19 +4,19 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: include
-ms.date: 04/05/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
-To start creating a custom text classification model, you need to create a project. Creating a project will let you tag data, train, evaluate, improve, and deploy your models.
+To start creating a custom text classification model, you need to create a project. Creating a project will let you label data, train, evaluate, improve, and deploy your models.
 
 > [!NOTE]
 > The project name is case-sensitive for all operations.
 
-Create a **POST** request using the following URL, headers, and JSON body to create your project and import the tags file.
+Create a **POST** request using the following URL, headers, and JSON body to create your project and import the labels file.
 
 ### Request URL
 
-Use the following URL to create a project and import your tags file. Replace the placeholder values below with your own values. 
+Use the following URL to create a project and import your labels file. Replace the placeholder values below with your own values. 
 
 ```rest
 {YOUR-ENDPOINT}/language/analyze-text/projects/{projectName}/:import?api-version=2021-11-01-preview
@@ -84,8 +84,8 @@ For the documents key:
 |---------|---------|---------|
 | `location`    | Document name on the blob store. | `doc2.txt` |
 |`language`   | The language of the document.   | `en-us` |
-|`dataset`   |  Optional field to specify the dataset which this document will belong to. | `Train` or `Test` |
+|`dataset`   |  Optional field to specify the dataset that this document will belong to. | `Train` or `Test` |
 
 This request will return an error if:
 
-* The selected resource doesn't have proper permission for the storage account. 
+* The selected resource doesn't have proper permission for the storage account. 
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/export-project.md b/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/export-project.md
@@ -6,7 +6,7 @@ ms.service: cognitive-services
 ms.subservice: language-service
 ms.custom: event-tier1-build-2022
 ms.topic: include
-ms.date: 05/05/2022
+ms.date: 05/24/2022
 ms.author: aahi
 ---
 
@@ -51,4 +51,4 @@ Once you send your API request, you’ll receive a `202` response indicating tha
 {ENDPOINT}/language/authoring/analyze-text/projects/{PROJECT-NAME}/export/jobs/{JOB-ID}?api-version={API-VERSION}
 ``` 
 
-{JOB-ID} is used to identify your request, since this operation is asynchronous. You’ll use this URL to get the export job status.  
+`{JOB-ID}` is used to identify your request, since this operation is asynchronous. You’ll use this URL to get the export job status.  
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/import-project.md b/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/import-project.md
diff --git a/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/text-classification-task.md b/articles/cognitive-services/language-service/custom-text-classification/includes/rest-api/text-classification-task.md

Original file line number	Diff line number	Diff line change
`@@ -10,4 +10,4 @@ ms.author: aahi`
`10`	`10`	`---`
`11`	`11`
`12`	`12`
`13`		`-To cancel a training job in [Language Studio](https://aka.ms/laguageStudio), go to the Train model page. Select the training job you want to cancel, and click on Cancel from the top menu.`
	`13`	`+To cancel a training job in [Language Studio](https://aka.ms/laguageStudio), go to the Training jobs page. Select the training job you want to cancel, and click on Cancel from the top menu.`