You are building an app that will analyze documents by using the Azure AI Language service. You need to identify industry-specific technical terms in the documents. The solution must minimize…

The correct answer is A. custom named entity recognition (NER). Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that involves locating and classifying named entities mentioned in unstructured text into predefined categories such as names, organizations, locations, dates, quantities, percentages, and…

Submitted by fatema_kw· Mar 30, 2026Implement Azure AI Language Solutions

Question

You are building an app that will analyze documents by using the Azure AI Language service. You need to identify industry-specific technical terms in the documents. The solution must minimize development effort. What should you use?

Options

Acustom named entity recognition (NER)
Bconversational language under-standing (CLU)
Clanguage detection
Dkey phrase extraction

How the community answered

(22 responses)

A
73% (16)
B
5% (1)
C
14% (3)
D
9% (2)

Explanation

Named Entity Recognition (NER) is a fundamental task in Natural Language Processing (NLP) that involves locating and classifying named entities mentioned in unstructured text into predefined categories such as names, organizations, locations, dates, quantities, percentages, and monetary values. NER serves as a foundational component in various NLP applications, including information extraction, question answering, machine translation, and sentiment analysis. https://encord.com/blog/named-entity-recognition/ https://learn.microsoft.com/en-us/azure/ai-services/language-service/custom-named-entity-recog

Topics

#Custom NER#Named Entity Recognition#Azure AI Language#Text Analytics

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