Update overview.md

Author: v-jaswel

articles/cognitive-services/text-analytics/overview.md

@@ -16,16 +16,23 @@ The Text Analytics API is a cloud-based service that provides advanced natural l
 
 The API is backed by resources in [Microsoft Cognitive Services](https://docs.microsoft.com/azure/cognitive-services/), a collection of machine learning and AI algorithms in the cloud, readily consumable in your development projects.
 
-## Capabilities in Text Analytics
+The Text Analytics API provides four types of analysis: sentiment analysis, key phrase extraction, .
 
-Text analysis can mean different things, but in Cognitive Services, the Text Analytics API provides four types of analysis as described in the following table.
+## Sentiment Analysis
 
-| Operations| Description | APIs |
-|-----------|-------------|------|
-|[**Sentiment Analysis**](how-tos/text-analytics-how-to-sentiment-analysis.md) | Find out what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. This API returns a sentiment score between 0 and 1 for each document, where 1 is the most positive.<br /> The analysis models are pretrained using an extensive body of text and natural language technologies from Microsoft. For [selected languages](text-analytics-supported-languages.md), the API can analyze and score any raw text that you provide, directly returning results to the calling application. | [REST](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c9) <br /> [.NET](https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/quickstarts/csharp#install-the-nuget-sdk-package)  |
-|[**Key Phrase Extraction**](how-tos/text-analytics-how-to-keyword-extraction.md) | Automatically extract key phrases to quickly identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".  | [REST](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c6) <br /> [.NET](https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/quickstarts/csharp#install-the-nuget-sdk-package) |
-|[**Language Detection**](how-tos/text-analytics-how-to-language-detection.md) | For up to 120 languages, detect which language the input text is written in and report a single language code for every document submitted on the request. The language code is paired with a score indicating the strength of the score. | [REST](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/56f30ceeeda5650db055a3c7) <br />  [.NET](https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/quickstarts/csharp#install-the-nuget-sdk-package) | 
-|[**Entity Linking (Preview)**](how-tos/text-analytics-how-to-entity-linking.md) | Identify well-known entities in your text and link to more information on the web. Entity linking recognizes and disambiguates when a term is used as one of separately distinguishable entities, verbs, and other word forms. | [REST](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics.V2.0/operations/5ac4251d5b4ccd1554da7634) | 
+[Find out](how-tos/text-analytics-how-to-sentiment-analysis.md) what customers think of your brand or topic by analyzing raw text for clues about positive or negative sentiment. This API returns a sentiment score between 0 and 1 for each document, where 1 is the most positive.<br /> The analysis models are pretrained using an extensive body of text and natural language technologies from Microsoft. For [selected languages](text-analytics-supported-languages.md), the API can analyze and score any raw text that you provide, directly returning results to the calling application.
+
+## Key Phrase Extraction
+
+Automatically [extract key phrases](how-tos/text-analytics-how-to-keyword-extraction.md) to quickly identify the main points. For example, for the input text "The food was delicious and there were wonderful staff", the API returns the main talking points: "food" and "wonderful staff".
+
+## Language Detection
+
+For up to 120 languages, [detect](how-tos/text-analytics-how-to-language-detection.md) which language the input text is written in and report a single language code for every document submitted on the request. The language code is paired with a score indicating the strength of the score.
+
+## Entity Linking (Preview)
+
+[Identify](how-tos/text-analytics-how-to-entity-linking.md) well-known entities in your text and link to more information on the web. Entity linking recognizes and disambiguates when a term is used as one of separately distinguishable entities, verbs, and other word forms.
 
 ## Typical workflow