This repository explores the integration of Azure Durable Functions with Azure AI Language services for Sentiment Analysis. Our focus is on utilizing Durable Functions, a powerful orchestration mechanism within the Azure Functions framework, to enhance the coding experience and build efficient, serverless solutions.
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Code Editor: We are using VSCode for our development, with Azure Functions Core Tools.
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There are currently four durable function types in Azure Functions: activity, orchestrator, entity, and client. In our deployment we are using:
- Function 1 – HTTP Trigger (Client-Starter Function): Receives text input from the frontend and starts the orchestrator.
- Function 2 – Orchestrator Function: Orchestrates the sentiment analysis workflow.
- Function 3 – Activity Function: Calls Azure Cognitive Services Text Analytics API to analyze sentiment.
- Function 4 – Activity Function: Stores results into Azure Table Storage.
Follow the Blog for Detailed Instructions: For step-by-step guidance, visit Azure AI Language: Sentiment Analysis with Durable Functions.
