updating tabs, note

aahill · aahill · commit eab9e64ecccf · 2020-01-30T13:30:35.000-08:00
diff --git a/articles/cognitive-services/text-analytics/includes/quickstarts/java-sdk.md b/articles/cognitive-services/text-analytics/includes/quickstarts/java-sdk.md
@@ -15,10 +15,6 @@ ms.reviewer: tasharm, assafi
 
 [Reference documentation](https://aka.ms/azsdk-java-textanalytics-ref-docs) | [Library source code](https://github.com/Azure/azure-sdk-for-java/blob/master/sdk/textanalytics/azure-ai-textanalytics) | [Package (Maven)](https://oss.sonatype.org/#nexus-search;quick~com.azure) | [Samples](https://github.com/Azure/azure-sdk-for-java/tree/master/sdk/textanalytics/azure-ai-textanalytics/src/samples/java/com/azure/ai/textanalytics)
 
-> [!NOTE]
-> * This quickstart is only for version `3.0-preview` of the Text Analytics client library, which includes a public preview for improved [Sentiment Analysis](../../how-tos/text-analytics-how-to-sentiment-analysis.md#sentiment-analysis-versions-and-features) and [Named Entity Recognition (NER)](../../how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features).
-> * The code in this article uses synchronous methods and un-secured credentials storage for simplicity reasons. For production scenarios, we recommend using the batched asynchronous methods for performance and scalability. For example, calling `SentimentBatchAsync()` instead of `Sentiment()`.
-
 ## Prerequisites
 
 * Azure subscription - [Create one for free](https://azure.microsoft.com/free/)
diff --git a/articles/cognitive-services/text-analytics/includes/quickstarts/nodejs-sdk.md b/articles/cognitive-services/text-analytics/includes/quickstarts/nodejs-sdk.md
@@ -389,7 +389,7 @@ Document ID: 0
                 Offset: 89, Length: 5   Score: 0.052
 ```
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 > [!NOTE]
 > In version 2.1, entity linking is included in the NER response.
diff --git a/articles/cognitive-services/text-analytics/includes/quickstarts/python-sdk.md b/articles/cognitive-services/text-analytics/includes/quickstarts/python-sdk.md
@@ -12,7 +12,7 @@ ms.author: aahi
 
 [v3 Reference documentation](https://azuresdkdocs.blob.core.windows.net/$web/python/azure-ai-textanalytics/1.0.0b1/azure.ai.textanalytics.html) | [v3 Library source code](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics) | [v3 Package (PiPy)](https://pypi.org/project/azure-ai-textanalytics/) | [v3 Samples](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/textanalytics/azure-ai-textanalytics/samples)
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 [v2 Reference documentation](https://docs.microsoft.com/python/api/overview/azure/cognitiveservices/textanalytics?view=azure-python) | [v2 Library source code](https://github.com/Azure/azure-sdk-for-python/tree/master/sdk/cognitiveservices/azure-cognitiveservices-language-textanalytics) | [v2 Package (PiPy)](https://pypi.org/project/azure-cognitiveservices-language-textanalytics/) | [v2 Samples](https://github.com/Azure-Samples/cognitive-services-python-sdk-samples)
 
@@ -37,7 +37,7 @@ After installing Python, you can install the client library with:
 pip install azure-ai-textanalytics
 ```
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 ```console
 pip install --upgrade azure-cognitiveservices-language-textanalytics
@@ -67,7 +67,7 @@ When batch processing text is sent to the API as a list of `documents`, which ar
 
 The response object is a list containing the analysis information for each document. 
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 The Text Analytics client is a [TextAnalyticsClient](https://docs.microsoft.com/python/api/azure-cognitiveservices-language-textanalytics/azure.cognitiveservices.language.textanalytics.textanalyticsclient?view=azure-python) object that authenticates to Azure using your key. The client provides several methods for analyzing text, as a single string, or a batch. 
 
@@ -140,7 +140,7 @@ neutral=0.771
 negative=0.017
 ```
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 Authenticate a client object, and call the [sentiment()](https://docs.microsoft.com/python/api/azure-cognitiveservices-language-textanalytics/azure.cognitiveservices.language.textanalytics.textanalyticsclient?view=azure-python#sentiment-show-stats-none--documents-none--custom-headers-none--raw-false----operation-config-) function. Iterate through the results, and print each document's ID, and sentiment score. A score closer to 0 indicates a negative sentiment, while a score closer to 1 indicates a positive sentiment.
 
@@ -187,7 +187,7 @@ language_detection_example(endpoint, key)
 Language:  French
 ```
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 Using the client created earlier, call [detect_language()](https://docs.microsoft.com/python/api/azure-cognitiveservices-language-textanalytics/azure.cognitiveservices.language.textanalytics.textanalyticsclient?view=azure-python#detect-language-show-stats-none--documents-none--custom-headers-none--raw-false----operation-config-) and get the result. Then iterate through the results, and print each document's ID, and the first returned language.
 
@@ -358,7 +358,7 @@ Linked Entities:
 		Score: 0.281 	Offset:  89 	Length: 5
 ```
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 > [!NOTE]
 > In version 2.1, entity linking is included in the NER response.
@@ -447,7 +447,7 @@ key_phrase_extraction_example(endpoint, key)
 		 veterinarian
 ```
 
-#### [Version 2](#tab/version-2)
+#### [Version 2.1](#tab/version-2)
 
 Using the client created earlier, call the [key_phrases()](https://docs.microsoft.com/python/api/azure-cognitiveservices-language-textanalytics/azure.cognitiveservices.language.textanalytics.textanalyticsclient?view=azure-python#key-phrases-show-stats-none--documents-none--custom-headers-none--raw-false----operation-config-) function and get the result. Then iterate through the results, and print each document's ID, and the key phrases contained in it.
 
diff --git a/articles/cognitive-services/text-analytics/quickstarts/text-analytics-sdk.md b/articles/cognitive-services/text-analytics/quickstarts/text-analytics-sdk.md
@@ -49,7 +49,7 @@ Use the Text Analytics client library to perform:
 ::: zone pivot="programming-language-java"
 
 > [!IMPORTANT]
-> * The latest preview version of the Text Analytics API is `3.0-preview`, which includes a public preview for improved [Sentiment Analysis](../how-tos/text-analytics-how-to-sentiment-analysis.md#sentiment-analysis-versions-and-features) and [Named Entity Recognition (NER)](../how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features). The latest stable version is `2.1`.
+> * This quickstart is only for version `3.0-preview` of the Text Analytics client library, which includes a public preview for improved [Sentiment Analysis](../../how-tos/text-analytics-how-to-sentiment-analysis.md#sentiment-analysis-versions-and-features) and [Named Entity Recognition (NER)](../../how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features).
 >    * Be sure to only follow the instructions for the version you are using.
 > * The code in this article uses synchronous methods and un-secured credentials storage for simplicity reasons. For production scenarios, we recommend using the batched asynchronous methods for performance and scalability. See the reference documentation below.
 
