shortening text

Author: aahill

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

@@ -186,19 +186,19 @@ This section will help you decide which Language service feature you should use
 
 |What do you want to do?  |Document format  |Your best solution  | Is this solution customizable?* |
 |---------|---------|---------|---------|
-| Detect and/or redact Personally Identifiable Information (PII) and Personally identifying Information (PHI). | Unstructured text <br> formatted text-based or transcribed conversations | [PII detection](./personally-identifiable-information/overview.md) | |
-| Extract categories of information, without creating a custom model.     | Unstructured text         | The [pre-configured NER feature](./named-entity-recognition/overview.md) |       |
+| Detect and/or redact sensitive information such as PII and PHI. | Unstructured text, <br> formatted text-based or transcribed conversations | [PII detection](./personally-identifiable-information/overview.md) | |
+| Extract categories of information without creating a custom model.     | Unstructured text         | The [pre-configured 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 of text, and opinions about specific topics. | Unstructured text | [Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md) | |
-| Summarize long chunks of text or conversations. | Unstructured text <br> formatted text-based or transcribed conversations. | [Summarization](./summarization/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> formatted text-based or transcribed conversations. | [Summarization](./summarization/overview.md) | | 
 | Disambiguate entities and get links to Wikipedia. | Unstructured text | [entity linking](./entity-linking/overview.md) | | 
-| Classify documents into categories you define. | Unstructured text | [Custom text classification](./custom-text-classification/overview.md) | ✓|
-| Extract, label, and associate medical information from clinical/medical documents. | Unstructured text | [Text analytics for health](./text-analytics-for-health/overview.md) | |
+| Classify documents into one or more categories. | Unstructured text | [Custom text classification](./custom-text-classification/overview.md) | ✓|
+| Extract medical information from clinical/medical documents. | Unstructured text | [Text analytics for health](./text-analytics-for-health/overview.md) | |
 | Build an conversational application that responds to user inputs. | Unstructured user inputs | [Question answering](./question-answering/overview.md) | ✓ |
-| Detect the language a text was written in | Unstructured text | [Language detection](./language-detection/overview.md) | | 
+| Detect the language that a text was written in. | Unstructured text | [Language detection](./language-detection/overview.md) | | 
 | Predict the intention of user inputs and extract information from them. | Unstructured user inputs | [Conversational language understanding](./conversational-language-understanding/overview.md) | ✓ |
-| Connect apps from: conversational language understanding, LUIS, and question answering | Unstructured user inputs | [Orchestration workflow](./orchestration-workflow/overview.md) | ✓ | 
+| Connect apps from conversational language understanding, LUIS, and question answering. | Unstructured user inputs | [Orchestration workflow](./orchestration-workflow/overview.md) | ✓ | 
 
 \* If a feature is customizable, you can train an AI model using our tools to fit your data specifically. Otherwise a feature is pre-configured, meaning the AI models it uses cannot be changed. You just send your data, and use the feature's output in your applications.