Introduction
Azure AI Language Service provides NLP capabilities including sentiment analysis, key phrase extraction, and entity recognition. In this tutorial, you'll build a sentiment analysis tool.
Step 1: Create an Azure AI Language Resource
Navigate to the Azure Portal, create a Language resource, and note down the endpoint URL and API key.
Step 2: Set Up the .NET Project
dotnet new console -n SentimentAnalyzer
cd SentimentAnalyzer
dotnet add package Azure.AI.TextAnalytics
Step 3: Initialize the Client
var client = new TextAnalyticsClient(
new Uri(endpoint),
new AzureKeyCredential(apiKey));
Step 4: Analyze Sentiment
Send text to the API and parse the results. The API returns overall sentiment (positive/negative/neutral/mixed) along with confidence scores for each category.
Step 5: Build a Batch Processor
Process multiple documents in a single API call. Handle rate limiting and implement retry logic for production scenarios.
Step 6: Create a Simple Web UI
Build a Blazor or Razor Pages front-end that accepts user text input and displays the sentiment results with visual confidence bars.
