diff --git a/sdk/textanalytics/azure-ai-textanalytics/README.md b/sdk/textanalytics/azure-ai-textanalytics/README.md
index f814599004669..71a75b8c3a8a0 100644
--- a/sdk/textanalytics/azure-ai-textanalytics/README.md
+++ b/sdk/textanalytics/azure-ai-textanalytics/README.md
@@ -221,7 +221,7 @@ for doc in result:
 
 The returned response is a heterogeneous list of result and error objects: list[[AnalyzeSentimentResult][analyze_sentiment_result], [DocumentError][document_error]]
 
-Please refer to the service documentation for a conceptual discussion of [sentiment analysis][sentiment_analysis].
+Please refer to the service documentation for a conceptual discussion of [sentiment analysis][sentiment_analysis]. To see how to conduct more granular analysis into the opinions related to individual aspects (such as attributes of a product or service) in a text, see [here][opinion_mining_sample].
 
 ### Recognize entities
 [recognize_entities][recognize_entities] recognizes and categories entities in its input text as people, places, organizations, date/time, quantities, percentages, currencies, and more.
@@ -449,7 +449,7 @@ with Text Analytics and require Python 3.5 or later.
 Authenticate the client with a Cognitive Services/Text Analytics API key or a token credential from [azure-identity][azure_identity]:
 * [sample_authentication.py][sample_authentication] ([async version][sample_authentication_async])
 
-In a batch of documents:
+Common scenarios
 * Analyze sentiment: [sample_analyze_sentiment.py][analyze_sentiment_sample] ([async version][analyze_sentiment_sample_async])
 * Recognize entities: [sample_recognize_entities.py][recognize_entities_sample] ([async version][recognize_entities_sample_async])
 * Recognize personally identifiable information: [sample_recognize_pii_entities.py][recognize_pii_entities_sample]([async version][recognize_pii_entities_sample_async])
@@ -457,6 +457,9 @@ In a batch of documents:
 * Extract key phrases: [sample_extract_key_phrases.py][extract_key_phrases_sample] ([async version][extract_key_phrases_sample_async])
 * Detect language: [sample_detect_language.py][detect_language_sample] ([async version][detect_language_sample_async])
 
+Advanced scenarios
+* Opinion Mining: [sample_analyze_sentiment_with_opinion_mining.py][opinion_mining_sample] ([async_version][opinion_mining_sample_async])
+
 ### Additional documentation
 For more extensive documentation on Azure Cognitive Services Text Analytics, see the [Text Analytics documentation][TA_product_documentation] on docs.microsoft.com.
 
@@ -543,6 +546,9 @@ This project has adopted the [Microsoft Open Source Code of Conduct][code_of_con
 [recognize_pii_entities_sample]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_recognize_pii_entities.py
 [recognize_pii_entities_sample_async]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_recognize_pii_entities_async.py
 
+[opinion_mining_sample]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/sample_analyze_sentiment_with_opinion_mining.py
+[opinion_mining_sample_async]: https://github.com/Azure/azure-sdk-for-python/blob/master/sdk/textanalytics/azure-ai-textanalytics/samples/async_samples/sample_analyze_sentiment_with_opinion_mining_async.py
+
 [cla]: https://cla.microsoft.com
 [code_of_conduct]: https://opensource.microsoft.com/codeofconduct/
 [coc_faq]: https://opensource.microsoft.com/codeofconduct/faq/