Removing the "preview" word from "Text Analytics for Health (preview)" in Available Features section

As Text Analytics for Health is a GA service since June 2021, all references to it should be corrected and have the text "preview" removed.

Author: alexmpmenezes

articles/cognitive-services/language-service/overview.md

@@ -32,7 +32,7 @@ Azure Cognitive Service for Language provides the following features:
 > | [Personally Identifiable Information (PII) detection](personally-identifiable-information/overview.md)     | This pre-configured feature identifies entities in text across several pre-defined categories of sensitive information, such as account information.        | • [Language Studio](language-studio.md) <br> • [REST API and client-library](named-entity-recognition/quickstart.md) |
 > | [Key phrase extraction](key-phrase-extraction/overview.md)     | This pre-configured feature evaluates unstructured text, and for each input document, returns a list of key phrases and main points in the text. | • [Language Studio](language-studio.md) <br> • [REST API and client-library](key-phrase-extraction/quickstart.md) <br> • [Docker container](key-phrase-extraction/how-to/use-containers.md)  |
 > |[Entity linking](entity-linking/overview.md)    | This pre-configured feature disambiguates the identity of an entity found in text and provides links to the entity on Wikipedia.        | • [Language Studio](language-studio.md) <br> • [REST API and client-library](entity-linking/quickstart.md) |
-> | [Text Analytics for health (preview)](text-analytics-for-health/overview.md)    | This pre-configured feature extracts information from unstructured medical texts, such as clinical notes and doctor's notes.  | • [Language Studio](language-studio.md) <br> • [REST API and client-library](text-analytics-for-health/quickstart.md) <br> • [Docker container](text-analytics-for-health/how-to/use-containers.md) |
+> | [Text Analytics for health](text-analytics-for-health/overview.md)    | This pre-configured feature extracts information from unstructured medical texts, such as clinical notes and doctor's notes.  | • [Language Studio](language-studio.md) <br> • [REST API and client-library](text-analytics-for-health/quickstart.md) <br> • [Docker container](text-analytics-for-health/how-to/use-containers.md) |
 > | [Custom NER](custom-named-entity-recognition/overview.md)    | Build an AI model to extract custom entity categories, using unstructured text that you provide. |  • [Language Studio](custom-named-entity-recognition/quickstart.md?pivots=language-studio) <br> • [REST API](custom-named-entity-recognition/quickstart.md?pivots=rest-api) |
 > | [Analyze sentiment and opinions](sentiment-opinion-mining/overview.md)     | This pre-configured feature provides sentiment labels (such as "*negative*", "*neutral*" and "*positive*") for sentences and documents. This feature can additionally provide granular information about the opinions related to words that appear in the text, such as the attributes of products or services. |  • [Language Studio](language-studio.md) <br> • [REST API and client-library](sentiment-opinion-mining/quickstart.md) <br> • [Docker container](sentiment-opinion-mining/how-to/use-containers.md)
 > |[Language detection](language-detection/overview.md)    | This pre-configured feature evaluates text, and determines the language it was written in. It returns a language identifier and a score that indicates the strength of the analysis.        | • [Language Studio](language-studio.md) <br> • [REST API and client-library](language-detection/quickstart.md) <br> • [Docker container](language-detection/how-to/use-containers.md) |