A cloud engineer is using a managed AI service to analyze a large volume of customer feedback from social media. The goal is to determine the overall attitude (positive, negative, or neutral) within the comments to gauge public perception of a new product. Which AI service should the engineer use?
The correct service is sentiment analysis, which is used to interpret and classify the emotional tone (positive, negative, or neutral) within text data. This allows the engineer to gauge public perception from customer feedback. Topic clustering groups texts by subject matter, not by emotional content. Language translation converts text from one language to another without evaluating its tone. Visual recognition is used to identify objects, people, or text within images and videos, which is not relevant for analyzing text-based comments.
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How does sentiment analysis differ from topic clustering?
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Can sentiment analysis handle text in multiple languages?