LLMs on Azure: Text Analytics for Health & Sentiment Analysis
Microsoft Azure, AI 2025
| Intermediate
- 10 videos | 1h 2m 28s
- Includes Assessment
- Earns a Badge
Azure language services enable the automation and enhancement of healthcare document analysis through advanced text analytics. By applying sentiment analysis and language detection, organizations can gain deeper insights into emotional tones and language contexts. In this course, learn how to perform healthcare entity analysis using Azure Text Analytics for health, including how to automatically identify entities in healthcare documents and use relation extraction and entity linking. Next, discover how to interpret assertions to determine statement certainty, conduct sentiment analysis at sentence and document levels, and integrate opinion mining. Finally, explore how to assess attitudes, isolate negative sentiments to gain clearer insights, and implement language detection using Azure AI. After completing this course, you will be able to utilize Text Analytics for health and sentiment analysis.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this course
Use azure text analytics for health to extract healthcare entities
Utilize azure text analytics for health for relation extraction and entity linking
Explore text analytics for health's assertion detection capabilities
Perform sentiment analysis and opinion mining using the text analytics client -
Conduct sentiment analysis using document-level and sentence-level scoring techniques
Implement sentiment analysis with opinion mining to filter negative sentiments
Implement language detection using azure cognitive services text analytics
Utilize action chaining to perform multiple text analysis tasks asynchronously
Summarize the key concepts covered in this course
IN THIS COURSE
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1m 17sIn this video, we will discover the key concepts covered in this course. FREE ACCESS
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8m 18sFind out how to use Azure Text Analytics for health to extract healthcare entities. FREE ACCESS
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3. Exploring Relation Extraction and Entity Linking in Azure AI9m 9sDuring this video, you will learn how to utilize Azure Text Analytics for health for relation extraction and entity linking. FREE ACCESS
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4. Interpreting Assertions and Analyzing Temporal Entities7m 26sIn this video, discover how to utilize Azure Text Analytics for health for relation extraction and entity linking. FREE ACCESS
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5. Performing Sentiment Analysis for Sentences9m 5sLearn how to perform sentiment analysis and opinion mining using the Text Analytics client. FREE ACCESS
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6. Conducting Sentiment Analysis for Documents7m 47sIn this video, find out how to conduct sentiment analysis using document-level and sentence-level scoring techniques. FREE ACCESS
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7. Integrating Opinion Mining and Filtering Negative Sentiments4m 7sDiscover how to implement sentiment analysis with opinion mining to filter negative sentiments. FREE ACCESS
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8. Implementing Language Detection with Azure Cognitive Services3m 5sIn this video, learn how to implement language detection using Azure Cognitive Services Text Analytics. FREE ACCESS
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9. Utilizing Action Chaining in Azure Text Analytics10m 39sFind out how to utilize action chaining to perform multiple text analysis tasks asynchronously. FREE ACCESS
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10. Course Summary1m 35sIn this video, we will summarize the key concepts covered in this course. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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