Prebuilt AI Builder models includes the Sentiment analysis prebuilt model.
The sentiment analysis prebuilt model detects positive or negative sentiment in text data. You can use it to analyze social media, customer reviews, or any text data you're interested in. Sentiment analysis evaluates text input, and gives scores and labels at a sentence and document level. The scores and labels can be positive, negative, or neutral. At the document level, there can also be a "mixed" sentiment label, which has no score. The sentiment of the document is determined by aggregating the sentence scores.
Note: AI Builder is a Microsoft Power Platform capability that provides AI models that are designed to optimize your business processes. AI Builder enables your business to use intelligence to automate processes and glean insights from your data in Power Apps and Power Automate. With AI Builder, you don't need coding or data science skills to access the power of AI.
You can build custom models tailored to your needs, or choose a prebuilt model that is ready to use for many common business scenarios.
Azure Cognitive Service for Language, previously known as 'Text Analytics' connector detects language, sentiment and more of the text you provide.
Reference:
https://learn.microsoft.com/en-us/connectors/cognitiveservicestextanalytics/
https://learn.microsoft.com/en-us/ai-builder/prebuilt-sentiment-analysis