Fix #16362 Add visual to the documentation to explain the mined opinions structure and naming better

sdk/textanalytics/Azure.AI.TextAnalytics/samples/Sample2.1_AnalyzeSentimentWithOpinionMining.md

@@ -2,6 +2,10 @@
 
 This sample demonstrates how to analyze sentiment of documents and get more granular information about the opinions related to aspects of a product/service, also knows as Aspect-based Sentiment Analysis in Natural Language Processing (NLP). This feature is only available for clients with api version v3.1-preview.1 and higher.
 
+For example, if a customer leaves feedback about a hotel such as "The room was great, but the staff was unfriendly.", Opinion Mining will locate aspects in the text, and their associated opinions and sentiments. Sentiment Analysis might only report a negative sentiment.
+
+![opinion mining diagram](https://github.com/Azure/azure-sdk-for-net/blob/master/sdk/textanalytics/Azure.AI.TextAnalytics/samples/assets/opinion-mining.png)
+
 For the purpose of the sample, we will be the administrator of a hotel and we've set a system to look at the online reviews customers are posting to identify the major complaints about our hotel.
 In order to do so, we will use the Sentiment Analysis feature of the Text Analytics client library. To get started you'll need a Text Analytics endpoint and credentials.  See [README][README] for links and instructions.