Update for acrolinx.

Author: Sherry Yang

learn-pr/wwl-data-ai/introduction-language/3-text-analysis.yml

@@ -10,6 +10,6 @@ metadata:
   ms.topic: unit
   ms.custom:
   - N/A
-durationInMinutes: 5
+durationInMinutes: 4
 content: |
   [!include[](includes/3-text-analysis.md)]

learn-pr/wwl-data-ai/introduction-language/includes/1-introduction.md

@@ -6,5 +6,5 @@ Natural language processing might be used to create:
 - A document search application that summarizes documents in a catalog.
 - An application that extracts brands and company names from text.
 
-In this module, you'll explore natural language processing. 
+In this module, let's explore natural language processing. 
 

learn-pr/wwl-data-ai/introduction-language/includes/3-text-analysis.md

@@ -10,7 +10,7 @@ Text analysis includes:
 
 ## Entity recognition and linking
 
-An entity is an item of a particular type or a category; and in some cases, subtype, such as those as shown in the following table.
+An entity is an item of a particular type or a category; and in some cases, subtype. For example:
 
 |Type|SubType|Example|
 |---|---|---|
@@ -77,4 +77,4 @@ Key phrase extraction can provide some context to this review by extracting the
 - ambiance
 - place
 
-As well as using sentiment analysis to determine that this is a positive review, you can also use the key phrase service to identify important elements of the review.
+You can use sentiment analysis to determine that this is a positive review and use the key phrase service to identify important elements of the review.