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articles/ai-services/language-service/includes/use-ai-foundry.md

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articles/ai-services/language-service/key-phrase-extraction/includes/quickstarts/azure-ai-foundry.md

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|------|----------------------------|
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|Extracted key phrases|A list of the extracted key phrases.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/key-phrase-extraction.png" alt-text="An example of Extract key phrases in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/key-phrase-extraction.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/key-phrase-extraction.png" alt-text=A screenshot of an example of Extract key phrases in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/key-phrase-extraction.png":::

articles/ai-services/language-service/language-detection/includes/quickstarts/azure-ai-foundry.md

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|Script Name| The name of the most detected script in the text.
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|Iso 15924 Script Code| The ISO 15924 script code for the most detected script.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/language-detection.png" alt-text="An example of detect language in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/language-detection.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/language-detection.png" alt-text="A screenshot of an example of detect language in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/language-detection.png":::

articles/ai-services/language-service/named-entity-recognition/how-to-call.md

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|Name of the attribute|Type |Definition |
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|---------------------|------------|-----------------------------------------|
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|`type` |String |The most specific type of detected entity.<br><br>For example, “Seattle” is a `City`, a `GPE` (Geo Political Entity) and a `Location`. The most granular classification for “Seattle” is that it is a `City`. The type would be `City` for the text “Seattle".|
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|`tags` |List (tags) |A list of tag objects which expresses the affinity of the detected entity to a hierarchy or any other grouping.<br><br>A tag contains two fields:<br>1. `name`: A unique name for the tag.<br>2. `confidenceScore`: The associated confidence score for a tag ranging from 0 to 1.<br><br>This unique tagName is be used to filter in the `inclusionList` and `exclusionList` parameters.
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|`tags` |List (tags) |A list of tag objects which expresses the affinity of the detected entity to a hierarchy or any other grouping.<br><br>A tag contains two fields:<br>1. `name`: A unique name for the tag.<br>2. `confidenceScore`: The associated confidence score for a tag ranging from 0 to 1.<br><br>This unique tagName is used to filter in the `inclusionList` and `exclusionList` parameters.
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|`metadata` |Object |Metadata is an object containing more data about the entity type detected. It changes based on the field `metadataKind`.
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## Sample output

articles/ai-services/language-service/named-entity-recognition/includes/quickstarts/azure-ai-foundry.md

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|Length| The character length of the entity.|
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|Confidence| How confident the model is in the correctness of identification of entity's type.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/named-entity-recognition.png" alt-text="An example of extract named entities in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/named-entity-recognition.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/named-entity-recognition.png" alt-text="A screenshot of an example of extract named entities in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/named-entity-recognition.png":::

articles/ai-services/language-service/named-entity-recognition/overview.md

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## Responsible AI
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An AI system includes not only the technology, but also the people who use it, the people who are be affected by it, and the environment in which it's deployed. Read the [transparency note for NER](/legal/cognitive-services/language-service/transparency-note-named-entity-recognition?context=/azure/ai-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
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An AI system includes not only the technology, but also the people who use it, the people who are affected by it, and the environment in which it's deployed. Read the [transparency note for NER](/legal/cognitive-services/language-service/transparency-note-named-entity-recognition?context=/azure/ai-services/language-service/context/context) to learn about responsible AI use and deployment in your systems. You can also see the following articles for more information:
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[!INCLUDE [Responsible AI links](../includes/overview-responsible-ai-links.md)]
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articles/ai-services/language-service/personally-identifiable-information/includes/quickstarts/azure-ai-foundry.md

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Here you can select from two Personally Identifying Information (PII) detection capabilities by choosing the top banner tiles, **Extract PII from conversation** or **Extract PII from text**. Each is for a different scenario.
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### Extract PII from coversation
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### Extract PII from conversation
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**Extract PII from conversation** is designed to identify and mask personally identifying information in conversational text.
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|Length| The character length of the entity.|
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|Confidence| How confident the model is in the correctness of identification of entity's type.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/conversation-pii.png" alt-text="an example of extract PII from conversation in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/conversation-pii.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/conversation-pii.png" alt-text="A screenshot of an example of extract PII from conversation in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/conversation-pii.png":::
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### Extract PII from text
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|Confidence| How confident the model is in the correctness of identification of entity's type.|
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|Tags| How confident the model is in the correctness for each identified entity type.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/text-pii.png" alt-text="an example of extract PII from text in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/text-pii.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/text-pii.png" alt-text="A screenshot of an example of extract PII from text in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/text-pii.png":::
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articles/ai-services/language-service/sentiment-opinion-mining/includes/quickstarts/azure-ai-foundry.md

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|Select text language| Select the language of the input text. |
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|Enable opinion mining| Enables or disables the opinion mining skill.|
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After your operation is completed, in the center pane, the each sentence will be numbered and opinions will be labelled if **Enable opinion mining** was checked and the **Details** section contains the following fields for the overall sentiment and the sentiment of each sentence:
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After your operation is completed, in the center pane, each sentence will be numbered and opinions will be labeled if **Enable opinion mining** was checked and the **Details** section contains the following fields for the overall sentiment and the sentiment of each sentence:
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|Field | Description |
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|------|----------------------------|

articles/ai-services/language-service/summarization/how-to/conversation-summarization.md

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- Issue and resolution (call center focused) is designed to summarize text chat logs between customers and customer-service agents. This feature is capable of providing both issues and resolutions present in these logs, which occur between two parties.
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- Narrative is designed to summarize the narrative of a conversation.
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- **Narrative** is designed to summarize the narrative of a conversation.
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- Recap is designed to condense lengthy meetings or conversations into a concise one-paragraph summary to provide a quick overview.
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- **Recap** is designed to condense lengthy meetings or conversations into a concise one-paragraph summary to provide a quick overview.
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- Follow-up tasks is designed to summarize action items and tasks that arise during a meeting.
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- **Follow-up tasks** is designed to summarize action items and tasks that arise during a meeting.
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:::image type="content" source="../media/conversation-summary-diagram.svg" alt-text="A diagram for sending data to the conversation summarization issues and resolution feature.":::
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articles/ai-services/language-service/summarization/includes/quickstarts/azure-ai-foundry.md

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|Chapter Title| A list of titles for semantically segmented chapters with corresponding timestamps. The **Chapter title** Summarization aspect must be toggled on for this to appear.|
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|Narrative| A list of narrative summaries for semantically segmented chapters with corresponding timestamps. The **Narrative** Summarization aspect must be toggled on for this to appear.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/conversation-summarization.png" alt-text="An example of summarize conversation in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/conversation-summarization.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/conversation-summarization.png" alt-text="A screenshot of an example of summarize conversation in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/conversation-summarization.png":::
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### Use Summarize for call center
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|Issue| A summary of the customer issue in the customer-and-agent conversation. The **Issue** Summarization aspect must be toggled on for this to appear.|
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|Resolution| A summary of the solutions tried in the customer-and-agent conversation. The **Resolution** Summarization aspect must be toggled on for this to appear.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/call-center-summarization.png" alt-text="An example of summarize for call center in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/call-center-summarization.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/call-center-summarization.png" alt-text="A screenshot of an example of summarize for call center in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/call-center-summarization.png":::
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### Use Summarize text
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|Number of sentences| The number of sentences that Extractive summarization will extract.|
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|Abstractive summarization| the service will generate a summary with novel sentences.|
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|Summary length| The length of the summary generated by Abstractive summarization.|
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|Define keywords for summary focus (preview)| Helps focus summariation on a particular set of keywords.|
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|Define keywords for summary focus (preview)| Helps focus summarization on a particular set of keywords.|
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After your operation is completed, the **Details** section contains the following fields for the selected methods of summarization:
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|Extractive summary| Extracted sentences from the input text, ranked by detected relevance and prioritized for words in the **Defined keywords for summary focus** field, if any. Sentences are sorted by rank score of detected relevance (default) or order of appearance in the input text.|
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|Abstractive summary| A summary of the input text of the length chosen in the **Summary length** field and prioritized for words in the **Defined keywords for summary focus** field, if any.|
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/text-summarization.png" alt-text="An example of summarize text in azure AI studio" lightbox="../../media/quickstarts/azure-ai-foundry/text-summarization.png":::
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:::image type="content" source="../../media/quickstarts/azure-ai-foundry/text-summarization.png" alt-text="A screenshot of an example of summarize text in azure AI studio." lightbox="../../media/quickstarts/azure-ai-foundry/text-summarization.png":::

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