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Author: aahill

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

@@ -8,7 +8,7 @@ manager: nitinme
 ms.service: cognitive-services
 ms.subservice: language-service
 ms.topic: overview
-ms.date: 04/14/2023
+ms.date: 07/19/2023
 ms.author: aahi
 ms.custom: ignite-fall-2021, event-tier1-build-2022
 ---
@@ -205,7 +205,7 @@ This section will help you decide which Language service feature you should use
 | Extract categories of information without creating a custom model.     | Unstructured text         | The [preconfigured NER feature](./named-entity-recognition/overview.md) |       |
 | Extract categories of information using a model specific to your data. | Unstructured text | [Custom NER](./custom-named-entity-recognition/overview.md) | ✓ |
 |Extract main topics and important phrases.     | Unstructured text        | [Key phrase extraction](./key-phrase-extraction/overview.md) |   |
-| Determine the sentiment and opinions expressed in text. | Unstructured text | [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) | |
+| Determine the sentiment and opinions expressed in text. | Unstructured text | [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) | ✓ |
 | Summarize long chunks of text or conversations. | Unstructured text, <br> transcribed conversations. | [Summarization](./summarization/overview.md) | | 
 | Disambiguate entities and get links to Wikipedia. | Unstructured text | [Entity linking](./entity-linking/overview.md) | | 
 | Classify documents into one or more categories. | Unstructured text | [Custom text classification](./custom-text-classification/overview.md) | ✓|