How to incorporate AI-Driven Sentiment Analysis models in a Fabric Data Lake Solution
In this video, we'll walk through how to incorporate AI-driven sentiment analysis models into a Fabric Data Lake solution. We'll show you how to use Azure AI models within a Jupyter notebook to add user sentiment features to your tables, unlocking new quantitative insights from unstructured data.
Description
This video shows you how to use Azure AI sentiment analysis machine learning models within a Fabric Jupyter notebook to add user sentiment features to Data Lake tables -- providing rich new quantitative data elements that help data analysts discover new insights in unstructured data.
For links to source code and similar articles, visit the blog version of this post:
https://robkerr.ai/fabric-ai-sentiment-analysis/
For the video that generated the translated reviews featured in this video:
https://youtu.be/w8X3OGo0Vas
A post relating to setting up the Key Vault for Fabric:
https://robkerr.ai/accessing-azure-key-vault-secrets-from-fabric-notebooks/