From the course: Building Apps with Azure AI Language and Python
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Entity linking
From the course: Building Apps with Azure AI Language and Python
Entity linking
- [Instructor] Entity linking identifies entities found in text and provides a link to more information on Wikipedia. The service requires the text analytics client created from our language key and endpoint. The recognized linked entity's method is then called to perform entity linking. The method just needs our documents. We created the helper function to call this method and print out the results. Here are documents. We can see in the output, the entity and its Wikipedia URL. We can also see how often the entity appeared and their specific locations in the document.
Contents
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Explore default features using the Azure AI Foundry portal4m 42s
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Sentiment analysis and opinion mining3m 30s
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Key phrase extraction1m 24s
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Named entity recognition2m 17s
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Text, document, and conversation summarization10m 3s
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Text analytics for health3m 7s
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Entity linking51s
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Language detection1m 26s
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Personally identifiable information (PII) detection1m 19s
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Challenge: Testing the default features of Azure AI Language1m 17s
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Solution: Testing the default features of Azure AI Language2m 27s
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