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Copy file name to clipboardExpand all lines: articles/cognitive-services/language-service/overview.md
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@@ -186,15 +186,15 @@ This section will help you decide which Language service feature you should use
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|What do you want to do? |Document format |Your best solution | Is this solution customizable?*|
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|---------|---------|---------|---------|
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|Extract and redact Personally Identifiable Information (PII) and Personally identifying Information (PHI). | Unstructured text |[PII detection](./personally-identifiable-information/overview.md)||
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|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)||
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| Extract categories of information, without creating a custom model. | Unstructured text | The [pre-configured NER feature](./named-entity-recognition/overview.md)||
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| Extract categories of information using a model specific to your data. | Unstructured text |[Custom NER](./custom-named-entity-recognition/overview.md)| ✓ |
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|Extract key phrases. | Unstructured text |[Key phrase extraction](./key-phrase-extraction/overview.md)||
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|Extract main topics and important phrases. | Unstructured text |[Key phrase extraction](./key-phrase-extraction/overview.md)||
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| Determine the sentiment of text, and opinions about specific topics. | Unstructured text |[Sentiment analysis and opinion mining](./sentiment-opinion-mining/overview.md)||
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| Summarize long chunks of text or conversations | Unstructured text, formatted textual or transcribed conversations. |[Summarization](./summarization/overview.md)||
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| Summarize long chunks of text or conversations.| Unstructured text <br> formatted text-based or transcribed conversations. |[Summarization](./summarization/overview.md)||
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| Disambiguate entities and get links to Wikipedia. | Unstructured text |[entity linking](./entity-linking/overview.md)||
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| Classify documents into categories you define. | Unstructured text |[Custom text classification](./custom-text-classification/overview.md)| ✓|
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| Extractand label medical information from clinical/medical documents | Unstructured text |[Text analytics for health](./text-analytics-for-health/overview.md)||
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| Extract, label, and associate medical information from clinical/medical documents.| Unstructured text |[Text analytics for health](./text-analytics-for-health/overview.md)||
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| Build an conversational application that responds to user inputs. | Unstructured user inputs |[Question answering](./question-answering/overview.md)| ✓ |
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| Detect the language a text was written in | Unstructured text |[Language detection](./language-detection/overview.md)||
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| Predict the intention of user inputs and extract information from them. | Unstructured user inputs |[Conversational language understanding](./conversational-language-understanding/overview.md)| ✓ |
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