Building Emotionally Intelligent Apps using Azure AI
summary
Shows how to turn raw reviews into actionable signals using Azure Cognitive Services Text Analytics v3.1 and the NuGet package azure-ai-textanalytics, calling analyze_sentiment and analyze_sentiment_async with opinion mining (aspect-based sentiment analysis) to return sentence-level scores (0–1), document labels including mixed, and aspect sentiments (e.g., location positive, room negative). Demonstrates a Visual Studio bot + Emulator wired to a Text Analytics resource (keys/endpoints) and shows entity linking to Wikipedia; notes limits (sarcasm, slang) and that the demos work live.
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chapters (10)
- 0:00Introduction and speaker intro
- 3:08Unstructured data and customer feedback
- 7:00Azure AI developer services overview
- 13:46Text analytics and sentiment analysis
- 21:52Opinion mining and aspect-based analysis
- 28:17Building emotionally intelligent chatbots
- 37:11Demo: Classic vs opinion mining
- 41:06Limitations and future of NLP
- 43:37Applications beyond customer service
- 44:40References and closing
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