Raise Acrolinx score above passing 80

Author: denrea

articles/cognitive-services/language-service/summarization/includes/quickstarts/nodejs-sdk.md

@@ -11,7 +11,7 @@ ms.custom: devx-track-js, ignite-fall-2021
 
 [Reference documentation](/javascript/api/overview/azure/ai-text-analytics-readme?preserve-view=true&view=azure-node-preview) | [Additional samples](https://github.com/Azure/azure-sdk-for-js/tree/main/sdk/textanalytics/ai-text-analytics/samples) | [Package (npm)](https://www.npmjs.com/package/@azure/ai-text-analytics/v/5.2.0-beta.1) | [Library source code](https://github.com/Azure/azure-sdk-for-js/tree/master/sdk/textanalytics/ai-text-analytics) 
 
-Use this quickstart to create a text summarization application with the client library for Node.js. In the following example, you will create a JavaScript application that can summarize documents.
+Use this quickstart to create a text summarization application with the client library for Node.js. In the following example, you'll create a JavaScript application that can summarize documents.
 
 [!INCLUDE [Use Language Studio](../use-language-studio.md)]
 
@@ -20,9 +20,9 @@ Use this quickstart to create a text summarization application with the client l
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/cognitive-services)
 * [Node.js](https://nodejs.org/) v16 LTS
 * Once you have your Azure subscription, <a href="https://portal.azure.com/#create/Microsoft.CognitiveServicesTextAnalytics"  title="Create a Language resource"  target="_blank">create a Language resource </a> in the Azure portal to get your key and endpoint. After it deploys, click **Go to resource**.
-    * You will need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
+    * You'll need the key and endpoint from the resource you create to connect your application to the API. You'll paste your key and endpoint into the code below later in the quickstart.
     * You can use the free pricing tier (`Free F0`) to try the service, and upgrade later to a paid tier for production.
-* To use the Analyze feature, you will need a Language resource with the standard (S) pricing tier.
+* To use the Analyze feature, you'll need a Language resource with the standard (S) pricing tier.
 
 > [!div class="nextstepaction"]
 > <a href="https://github.com/Azure/azure-sdk-for-js/issues/new?title=&body=%0A-%20**Package%20Name**:%20%0A-%20**Package%20Version**:%20%0A-%20**Operating%20System**:%20%0A-%20**Node.js%20version**:%20%0A-%20**Browser%20name%20and%20version**:%20%0A-%20**Typescript%20version**:%20%0A%0A%5BEnter%20feedback%20here%5D%0A%0A%0A---%0A%23%23%23%23%20Document%20details%0A%0A⚠%20*Do%20not%20edit%20this%20section.%20It%20is%20required%20for%20learn.microsoft.com%20➟%20GitHub%20issue%20linking.%0A%0ALanguage%20Quickstart%20Feedback%0A*%20Content:%20%5BQuickstart:%20using%20document%20summarization%20and%20conversation%20summarization%20(preview)%20-%20Azure%20Cognitive%20Services%5D(https:%2F%2Flearn.microsoft.com%2Fazure%2Fcognitive-services%2Flanguage-service%2Fsummarization%2Fquickstart%3Fpivots%3Dprogramming-language-javascript)%0A*%20Content%20Source:%20%5Barticles%2Fcognitive-services%2Flanguage-service%2Fsummarization%2Fquickstart.md%5D(https:%2F%2Fgithub.com%2FMicrosoftDocs%2Fazure-docs%2Fblob%2Fmain%2Farticles%2Fcognitive-services%2Flanguage-service%2Fsummarization%2Fquickstart.md)%0A*%20Section:%20**Prerequisites**%0A*%20Service:%20**cognitive-services**%0A*%20Sub-service:%20**language-service**%0A&labels=Cognitive%20-%20Language%2CCognitive%20Language%20QS%20Feedback" target="_target">I ran into an issue</a>
@@ -75,7 +75,7 @@ const { AzureKeyCredential, TextAnalysisClient } = require("@azure/ai-language-t
 // Load the .env file if it exists
 require("dotenv").config();
 
-// You will need to set these environment variables or edit the following values
+// You'll need to set these environment variables or edit the following values
 const endpoint = process.env["ENDPOINT"] || "<paste-your-endpoint-here>";
 const apiKey = process.env["LANGUAGE_API_KEY"] || "<paste-your-key-here>";