Question

A retail company receives thousands of product reviews daily in multiple languages. The product team wants to understand not just whether each review is positive or negative overall, but also the sentiment expressed toward specific product attributes mentioned in the text (for example, 'battery life' or 'screen quality'). They want a solution that requires minimal custom prompt engineering and returns structured aspect-level results. Which approach should you use?

Accepted Answer

Enable opinion mining (aspect-based sentiment analysis) in the Azure AI Language sentiment analysis feature

Answer

Use the Azure AI Language key phrase extraction feature and infer sentiment from the extracted phrases

Answer

Call document-level sentiment analysis and average the confidence scores per review

Answer

Use the named entity recognition feature to extract product attributes and classify each as positive or negative