Microsoft Azure AI Fundamentals AI-900 Practice Question
A company wants to analyze customer feedback forms to automatically extract and categorize mentions of their products, brands, and stores within the text.
Which natural language processing (NLP) feature should they use to achieve this goal?
Entity Recognition is the appropriate feature for this scenario. It enables the detection and classification of specific entities such as products, brands and locations within text data, allowing the company to extract structured information from unstructured feedback.
Key Phrase Extraction highlights important terms but doesn't categorize them into specific types.
Sentiment Analysis assesses the emotional tone of the text but doesn't identify specific entities.
Language Modeling predicts word sequences and isn't used for extracting or categorizing mentions of specific items.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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