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articles/cognitive-services/text-analytics/includes/entity-types/general-entities.md

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## General entity types:
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### Person
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Recognize person names in text.
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Languages:
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* Public preview: `English`
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| Subtype name | Description | Available starting with model version: |
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|--------------|-----------------------------------------------------------|----------------------------------------|
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| N/A | Recognized names, for example `Bill Gates`, `Marie Curie` | `2019-10-01` |
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| Subtype name | Description | Available starting with model version | Languages |
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|--------------|------------------------------------------------------------------|---------------------------------------|-----------|
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| N/A | Recognized person names, for example `Bill Gates`, `Marie Curie` | `2019-10-01` | `English` |
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### PersonType
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Job type or role held by a person.
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| Subtype name | Description | Available starting with model version: |
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|--------------|------------------------------------------------------------------------|----------------------------------------|
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| N/A | Events such as `wedding`, `hurricane`, `car accident`, `solar eclipse` | `2020-02-01` |
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| N/A | Events such as `wedding`, `hurricane`, `car accident`, `solar eclipse`, `American Revolution` | `2020-02-01` |
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### Product
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| Subtype name | Description | Available starting with model version: |
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|--------------|------------------------------------------------------------------------------------|----------------------------------------|
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| N/A | For example, `Microsoft Surface laptop`, `sunglasses`, `motorcycle`, `bag`, `Xbox` | `2020-02-01` |
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| Computing | `Azure Cosmos DB`, `Microsoft Exchange Server` | `2020-02-01` |
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| Computing | `Azure Cosmos DB`, `Azure Kubernetes Service` | `2020-02-01` |
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### Skill
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articles/cognitive-services/text-analytics/includes/model-versioning.md

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manager: nitinme
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ms.service: cognitive-services
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ms.topic: include
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ms.date: 10/25/2019
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ms.date: 01/31/2019
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ms.author: aahi
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---
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Version 3 of the Text Analytics API lets you choose the Text Analytics model used on your data. Use the optional `model-version` parameter to select a version of the model in your requests. If this parameter isn't specified the API will default to `latest`, the latest stable model version.
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Version 3 of the Text Analytics API lets you choose the Text Analytics model used on your data. Use the optional `model-version` parameter to select a version of the model in your requests. If this parameter isn't specified the API will default to `latest`, the latest stable version. See [What's new](../whats-new.md) for details on these model versions.
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| Model version | Features updated |
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|-------------------------|--------------------------|
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| `2020-02-01` (`latest`) | NER |
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| `2019-10-01` | NER, Sentiment analysis |
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Available model versions:
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* `2019-10-01`
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* `2020-02-01` (`latest`)
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Each response from the v3 endpoints includes a `model-version` field specifying the model version that was used.
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articles/cognitive-services/text-analytics/whats-new.md

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## Named Entity Recognition v3 public preview - February 2020
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Additional entity types are now available in the Named Entity Recognition (NER) v3 public preview service as we expand the detection of general and PII entities found in text. It includes:
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Additional entity types are now available in the Named Entity Recognition (NER) v3 public preview service as we expand the detection of general and personal information entities found in text. This update introduces [model version](how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features) `2020-02-01`, which includes:
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* Recognition of the following general entity types (English only):
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* PersonType
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* URL
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* IP Address
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### October 2019
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> [!div class="nextstepaction"]
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> [Learn more about Named Entity Recognition v3](how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features)
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The next version of Named Entity Recognition(NER) is now available for public preview, and provides expanded detection and categorization of entities found in text. It provides:
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### October 2019
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* Recognition of the following new entity types:
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* Phone number
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* IP address
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#### Named Entity Recognition (NER)
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* A [new endpoint](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-0-Preview-1/operations/EntitiesRecognitionPii) for recognizing personal information entity types (English only)
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* Separate endpoints for [entity recognition](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-0-Preview-1/operations/EntitiesRecognitionGeneral) and [entity linking](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-0-Preview-1/operations/EntitiesLinking).
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Entity linking supports English and Spanish. NER language support varies by the entity type.
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* [Model version](how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features) `2019-10-01`, which includes:
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* Expanded detection and categorization of entities found in text.
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* Recognition of the following new entity types:
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* Phone number
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* IP address
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> [!div class="nextstepaction"]
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> [Learn more about Named Entity Recognition v3](how-tos/text-analytics-how-to-entity-linking.md#named-entity-recognition-versions-and-features)
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Entity linking supports English and Spanish. NER language support varies by the entity type.
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## Sentiment Analysis v3 public preview - October 2019
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#### Sentiment Analysis v3 public preview
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The [next version of Sentiment Analysis](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-0-Preview-1/operations/Sentiment) is now available for public preview, and provides significant improvements in the accuracy and detail of the API's text categorization and scoring. It additionally provides:
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* A [new endpoint](https://westus.dev.cognitive.microsoft.com/docs/services/TextAnalytics-v3-0-Preview-1/operations/Sentiment) for analyzing sentiment.
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* [Model version](how-tos/text-analytics-how-to-sentiment-analysis.md#named-entity-recognition-versions-and-features) `2019-10-01`, which includes:
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* Automatic labeling for different sentiments in text.
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* Sentiment analysis and output on a document and sentence level.
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* Significant improvements in the accuracy and detail of the API's text categorization and scoring.
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* Automatic labeling for different sentiments in text.
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* Sentiment analysis and output on a document and sentence level.
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It supports English (`en`), Japanese (`ja`), Chinese Simplified (`zh-Hans`), Chinese Traditional (`zh-Hant`), French (`fr`), Italian (`it`), Spanish (`es`), Dutch (`nl`), Portuguese (`pt`), and German (`de`), and is available in the following regions: `Australia East`, `Central Canada`, `Central US`, `East Asia`, `East US`, `East US 2`, `North Europe`, `Southeast Asia`, `South Central US`, `UK South`, `West Europe`, and `West US 2`.
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