edits

Author: aahill

articles/cognitive-services/language-service/entity-linking/overview.md

@@ -22,7 +22,7 @@ This documentation contains the following types of articles:
 * [**Quickstarts**](quickstart.md) are getting-started instructions to guide you through making requests to the service.
 * [**How-to guides**](how-to/call-api.md) contain instructions for using the service in more specific ways.
 
-## Development options
+## Get started with entity linking
 
 [!INCLUDE [development-options](includes/development-options.md)]
 

articles/cognitive-services/language-service/personally-identifiable-information/includes/development-options.md

@@ -9,10 +9,10 @@ ms.date: 01/10/2023
 ms.author: aahi
 ---
 
-To use language detection, you submit raw unstructured text for analysis and handle the API output in your application. Analysis is performed as-is, with no additional customization to the model used on your data. There are two ways to use language detection:
+To use PII detection, you submit raw unstructured text for analysis and handle the API output in your application. Analysis is performed as-is, with no additional customization to the model used on your data. There are two ways to use PII detection:
 
 
 |Development option  |Description  |
 |---------|---------|
-|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/detectLanguage) or [language studio quickstart](../../language-studio.md).         |
-|REST API or Client library (Azure SDK)      | Integrate language detection into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [language detection quickstart](../quickstart.md).        |
+|Language studio     | Language Studio is a web-based platform that lets you try entity linking with text examples without an Azure account, and your own data when you sign up. For more information, see the [Language Studio website](https://language.cognitive.azure.com/tryout/pii) or [language studio quickstart](../../language-studio.md).         |
+|REST API or Client library (Azure SDK)      | Integrate PII detection into your applications using the REST API, or the client library available in a variety of languages. For more information, see the [PII detection quickstart](../quickstart.md).        |

articles/cognitive-services/language-service/personally-identifiable-information/overview.md

@@ -28,7 +28,7 @@ PII comes into two shapes:
 
 [!INCLUDE [Typical workflow for pre-configured language features](../includes/overview-typical-workflow.md)]
 
-## Get started with Personally Identifiable Information detection
+## Get started with PII detection
 
 [!INCLUDE [development options](./includes/development-options.md)]
 

articles/cognitive-services/language-service/sentiment-opinion-mining/how-to/call-api.md

@@ -17,10 +17,6 @@ ms.custom: language-service-sentiment-opinion-mining, ignite-fall-2021
 
 Sentiment analysis and opinion mining are two ways of detecting positive and negative sentiment. Using sentiment analysis, you can get sentiment labels (such as "negative", "neutral" and "positive") and confidence scores at the sentence and document-level. Opinion Mining provides granular information about the opinions related to words (such as the attributes of products or services) in the text.
 
-> [!TIP]
-> If you want to start using this feature, you can follow the [quickstart article](../quickstart.md) to get started. You can also make example requests using [Language Studio](../../language-studio.md) without needing to write code.
-
-
 ## Sentiment Analysis
 
 Sentiment Analysis applies sentiment labels to text, which are returned at a sentence and document level, with a confidence score for each.