acrolinx pass

Author: jboback

articles/ai-services/language-service/sentiment-opinion-mining/overview.md

@@ -16,15 +16,15 @@ ms.custom: language-service-sentiment-opinion-mining
 
 Sentiment analysis and opinion mining are features offered by [the Language service](../overview.md), a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. These features help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text. 
 
-Both sentiment analysis and opinion mining work with a variety of [written languages](./language-support.md).
+Both sentiment analysis and opinion mining work with various [written languages](./language-support.md).
 
 ## Sentiment analysis 
 
-The sentiment analysis feature provides sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score found by the service at a sentence and document-level. This feature also returns confidence scores between 0 and 1 for each document & sentences within it for positive, neutral and negative sentiment. 
+The sentiment analysis feature provides sentiment labels (such as "negative", "neutral" and "positive") based on the highest confidence score found by the service at a sentence and document-level. This feature also returns confidence scores between 0 and 1 for each document & sentences within it for positive, neutral, and negative sentiment. 
 
 ## Opinion mining
 
-Opinion mining is a feature of sentiment analysis. Also known as aspect-based sentiment analysis in Natural Language Processing (NLP), this feature provides more granular information about the opinions related to words (such as the attributes of products or services) in text.
+Opinion mining is a feature of sentiment analysis, also known as aspect-based sentiment analysis in Natural Language Processing (NLP). This feature provides more granular information about the opinions related to words (such as the attributes of products or services) in text.
 
 [!INCLUDE [Typical workflow for pre-configured language features](../includes/overview-typical-workflow.md)]
 
@@ -45,10 +45,9 @@ As you use sentiment analysis, see the following reference documentation and sam
 
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 ## Responsible AI 
 
-An AI system includes not only the technology, but also the people who use it, the people who will be affected by it, and the environment in which it's deployed. Read the [transparency note for sentiment analysis](/legal/cognitive-services/language-service/transparency-note-sentiment-analysis?context=/azure/ai-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
+An AI system includes not only the technology, but also the people who use it, the people who are affected by it, and the environment in which it's deployed. Read the [transparency note for sentiment analysis](/legal/cognitive-services/language-service/transparency-note-sentiment-analysis?context=/azure/ai-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
 
 ## Next steps