Microsoft Azure AI Fundamentals AI-900 Practice Question
A company wants to extract structured information such as names of people, places, organizations, and dates from a large collection of unstructured text documents.
Which natural language processing technique should they use to achieve this?
Entity Recognition - This is the correct answer. Entity Recognition (also known as Named Entity Recognition or NER) is a natural language processing technique used to extract structured information such as names of people, places, organizations, dates and other specific entities from unstructured text documents.
Key Phrase Extraction - Key phrase extraction identifies important phrases in text but does not specifically target named entities like people, places, or dates.
Sentiment Analysis - Sentiment analysis is used to evaluate the emotional tone or sentiment (positive, negative, neutral) in text, not to extract specific entities.
Language Translation - Language translation is used to convert text from one language to another, but it does not focus on extracting structured information like names or dates.
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Microsoft Azure AI Fundamentals AI-900
Describe Features of Natural Language Processing (NLP) Workloads on Azure
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