You are developing a solution that uses the Text Analytics service. You need to identify the main talking points in a collection of documents. Which type of natural language processing should you use?

The correct answer is B. key phrase extraction. Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations…

Submitted by paula_co· Mar 30, 2026Describe features of Natural Language Processing (NLP) workloads on Azure

Question

You are developing a solution that uses the Text Analytics service. You need to identify the main talking points in a collection of documents. Which type of natural language processing should you use?

Options

Aentity recognition
Bkey phrase extraction
Csentiment analysis
Dlanguage detection

How the community answered

(39 responses)

A
3% (1)
B
95% (37)
D
3% (1)

Explanation

Broad entity extraction: Identify important concepts in text, including key Key phrase extraction/ Broad entity extraction: Identify important concepts in text, including key phrases and named entities such as people, places, and organizations. https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/natural- language-processing

Topics

#Azure Text Analytics#Key Phrase Extraction#NLP

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