Microsoft Azure AI Fundamentals AI-900 Practice Question
A financial company wants to automatically extract names of organizations, dates, and monetary amounts from large volumes of unstructured text documents.
Which NLP technique should they use to accomplish this?
Entity recognition is the appropriate NLP technique for this task. It involves identifying and classifying key elements in text into predefined categories such as names of persons, organizations, locations, dates and monetary values. This allows the company to extract structured data from unstructured text.
Key Phrase Extraction identifies important terms and phrases but doesn't categorize them into specific entity types.
Sentiment Analysis determines the emotional tone behind a body of text.
Translation converts text from one language to another.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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